Job Title: Senior Backend Engineer (.NET / AI Systems)r

Position Type: Full-Time, Remote

Working Hours: U.S. Business Hours

About the Role

We are hiring a Senior Backend Engineer (.NET / AI Systems) to own the entire technical function of an early-stage SaaS platform. This is a hands-on leadership role where you will write production code daily while making architecture, infrastructure, and AI system decisions for a platform operating at scale.

You will be accountable for backend architecture, system reliability, AI pipelines, and guiding a small development team in a fast-moving startup environment.

Responsibilities

Backend Architecture & Engineering

• Design, build, and maintain a .NET 8.0 / C# backend using Clean Architecture and DDD principles
• Own the architecture and codebase across 14+ independently deployed microservices
• Deliver new features, refactor existing systems, and resolve performance bottlenecks

AI Systems & LLM Orchestration

• Design and operate production-grade AI pipelines across multiple LLM providers
• Optimize prompts and workflows for batch processing, personalization, and segmentation at scale
• Manage rate limits, failover strategies, and cost optimization across AI providers

Databases & Data Infrastructure

• Manage MySQL, Redis, and MongoDB in production environments
• Oversee bulk writes, caching strategies, event streams, and analytics pipelines
• Ensure data consistency and performance across distributed services

Infrastructure, Reliability & Monitoring

• Own Linux-based infrastructure, CI/CD pipelines, and service deployments
• Implement centralized logging, monitoring, alerting, and uptime tracking
• Proactively identify and mitigate reliability and scalability risks

API Integrations & System Resilience

• Manage 25+ third-party API integrations used in production
• Design retry, fallback, and graceful degradation strategies
• Ensure system stability when external providers fail or degrade

Team Leadership & Engineering Standards

• Lead and mentor a small engineering team through code reviews and architectural guidance
• Set and enforce engineering standards, workflows, and best practices
• Collaborate closely with the founder on product direction and technical strategy

What Makes You a Perfect Fit

• You are a senior, hands-on engineer who enjoys owning systems end-to-end
• You are comfortable being the most experienced technical person on the team
• You balance fast execution with long-term architectural thinking
• You take ownership of reliability, performance, and technical outcomes
• You thrive in early-stage startup environments

Required Experience & Skills

• Deep expertise in .NET 8.0, C#, ASP.NET Core, and Entity Framework Core
• Experience with distributed systems and independently deployed services
• Strong production experience with MySQL, Redis, and MongoDB
• Hands-on DevOps experience with Linux servers and CI/CD pipelines
• Experience managing large numbers of third-party API integrations
• Proven experience building and operating AI/LLM systems at scale
• Familiarity with AI-assisted development tools and workflows
• Strong understanding of monitoring, observability, and incident prevention
• Experience leading small engineering teams
• Strong English communication skills

What Does a Typical Day Look Like ?

• Write and review production backend code
• Make architectural decisions across services, databases, and AI pipelines
• Monitor system health and resolve reliability issues
• Guide developers through code reviews and technical feedback
• Collaborate with the founder on product and system evolution

In short: You own the technical foundation of the platform and ensure it scales reliably while enabling rapid product development.

Key Metrics for Success (KPIs)

• System uptime and service reliability
• Backend and AI system performance improvements
• AI cost efficiency and pipeline stability
• Code quality and deployment reliability
• Team execution and delivery quality

Interview Process

• Initial Screening Call
• Technical Interview with Pavago Recruiter
• Client Interview
• Offer & Onboarding

Saas Platform Architect

Remote, United States

About Legion Technologies

Legion Technologies is on a mission to turn hourly jobs into good jobs through intelligent automation and AI. Our AI-powered Workforce Management platform helps enterprises optimize labor efficiency while empowering hourly employees with flexibility, fairness, and control over their schedules.

Our multi-tenant SaaS platform serves large enterprise customers globally, supporting complex scheduling, forecasting, compliance, and analytics workloads across web and mobile applications. We operate at scale — high data volumes, strict availability requirements, and enterprise-grade security standards. The architecture decisions you make here directly affect the scheduling fairness and financial stability of millions of hourly workers worldwide.

Role Overview

We are seeking a Saas Platform Architect to define and lead the architectural evolution of the Legion WFM Platform. You will architect the platform that our enterprise customers run on: designing and building the core systems.

This is a senior, hands-on technical leadership role responsible for shaping our multi-tenant cloud architecture to ensure scalability, resilience, security, and performance at enterprise scale. You will own architectural direction across backend systems, APIs, data infrastructure, and cloud-native services while partnering closely with engineering, product, and leadership teams.

While this role requires cloud fluency, it is fundamentally a software architecture role — you'll be designing and building the product platform in Java/Spring Boot, not managing infrastructure or running operations.

What You'll Do

Platform Architecture & Strategy

• Define and evolve the architecture of Legion's multi-tenant SaaS platform.
• Lead system design for highly scalable, fault-tolerant, distributed services.
• Establish architectural patterns, standards, and long-term
  
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About Fullscript

We’re an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.

That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.

We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.

This is your invitation.

Bring your ideas, your grit, and your care for people.

Join us and shape the future of care.

The role

We’re hiring a Staff Machine Learning Engineer to join our AI team and help shape the next generation of Fullscript’s AI-powered experiences. You’ll work on building innovative AI capabilities that help clinicians provide better services and help patients improve their health.

This is a senior individual contributor role for someone who can go beyond implementation. In addition to building high-quality systems, you’ll help define technical direction, guide architecture decisions, and identify where AI can create meaningful value in clinical workflows. You’ll work with a high degree of autonomy and partner closely with engineering, product, analytics, and medical stakeholders to deliver scalable, reliable, and clinically useful AI experiences.

What you'll do

• Lead the design, development, and deployment of production, multi-turn LLM-powered features, including summarization tools and clinician-facing conversational agents that support follow-up questions and reasoning over clinical context
• Own backend services in Python that integrate LLM agents with Fullscript’s platform and support reliable production use
• Help define technical direction for prompting, grounding, safety, and orchestration strategies used across clinical AI workflows
• Establish and improve evaluation approaches for LLM outputs, including accuracy, hallucinations, edge cases, and overall feature quality
• Shape engineering patterns for model-related workflows, including testing, CI/CD, observability, and version control
• Partner with medical, product, and engineering teams to identify high-value opportunities for AI and turn them into practical, scalable product capabilities
• Work cross-functionally with engineering, analytics, and medical SMEs to refine requirements and ensure data and system design support clinical use cases
• Provide technical leadership across projects by creating clarity in ambiguous problem spaces, guiding tradeoff decisions, and raising the quality bar for the team
• Stay current with the latest LLM research and emerging AI technologies, and help assess where they can be applied effectively at Fullscript
  
  

What you bring to the table

• 6+ years of experience building and implementing machine learning applications in production, including meaningful experience with LLM-powered agents, conversational experiences, or agent-based workflows
• A track record of owning complex technical problems end to end and shaping implementation beyond your immediate code contributions
• Experience designing and deploying AI systems that answer open-ended questions, support follow-up interactions, and operate reliably in production
• Strong experience with LLM application frameworks and tooling, such as LangChain, LangGraph, or similar orchestration and RAG frameworks
• Familiarity with evaluation and monitoring frameworks for LLM outputs, conversational quality, and system reliability
• Knowledge of MCP, agent orchestration patterns, or related approaches for building multi-step AI systems
• Strong proficiency in Python and SQL
• Experience making sound technical decisions around quality, safety, maintainability, and scalability in production AI systems
• Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical stakeholders
  
  

Bonus if you have

• Experience defining technical direction for AI or machine learning systems across multiple projects or teams
• Experience building clinician-facing, healthcare-adjacent, or other high-trust AI experiences
• Experience with recommendation systems, personalization, or other applied ML systems beyond LLMs
• Experience with modern retrieval, grounding, or evaluation patterns for LLM applications
• Experience working closely with domain experts to build systems in complex or highly contextual problem spaces
  
  

What we can offer you:

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios and beyond.

About the role:

Skydio is looking for a driven customer facing Program Manager with a deep sense of ownership to lead and drive all aspects of implementation and delivery for our Law Enforcement Customers.

You will join our Customer Success team, and will be Skydio's Law Enforcement customer liaison and broadly responsible for the success of our contracts to include: cost, performance, scheduling, project planning, technical execution, risk management and problem solving. In this role, You will have to learn technical concepts and employ them quickly. Digging into the details to understand program dependencies so that technical and program risks can be managed effectively is a must. You will be expected to utilize your technical capability in conjunction with your program management skills to deliver the best outcome for the customer. A successful candidate for this job should have deep experience working within the U.S. Law Enforcement and experience engaging with high-level officials.

In addition to your core role, you will also be suited to providing input into a wide range of technical activities within the company. You will work in a high-activity/fast-paced environment, with the ability to handle ambiguity, and multiple tasks or projects at once. Your teammates are passionate Customer Success and Technical Support teams, but also with broader teams such as Product, Marketing, Development and Engineering teams.

How you'll make an impact:

• Be a highly collaborative, requirements driven planner with a deep sense of ownership and accountability with a willingness to roll up sleeves and dive into the details.

• Plan and design end-to-end project deployment and integration activities to ensure the successful launch of our platform and ensure operational success. Manage production and implementation programs against cost, schedule and technical requirements.

• Understand customer requirements and translate them to Skydio’s agile product and technical teams to drive development and delivery execution.

• Establish relationships with the Law Enforcement customer and be technical enough to build & drive plans with Skydio’s engineering team’s to meet milestones.

• Inform Skydio and customer business and program leaders regarding contract management risks and opportunities, ensuring a coordinated and comprehensive approach to product delivery across the program.

• General support of go-to-market & business activities as required.

What Makes You A Good Fit:

• Experience as a customer-facing professional services / program manager / customer success, or in a similar high-tier complex and multifaceted role preferably for law enforcement agencies.

• Excellent communication skills, both written and verbal, including interaction with senior leaders and a strong focus on project management tools and concepts.

• Proven track record of implementing new technology (hardware and software), agile development and interfacing with technical teams to deliver on customer schedules.

• Experience in implementing effective internal business systems, processes and controls (hardware, software, operations) for management of large scale customer projects in the Law Enforcement field

• Experience with Law Enforcement and commercial Unmanned Aircraft Systems and related software development.

• Law Enforcement/Federal Program Management experience, to include: Technology Assessments, Systems Design, Systems Analysis, Programmatic Support, Acquisition Planning, and Budget Planning.

• Outstanding analytical thinker and problem solver, comfortable working in data analytics and able to resolve complex problems independently. Thinking ‘out of the box’ and to develop creative solutions

• Ability to travel 40% annually

• Strong location preference for D.C. / VA area

Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $139,500 - $175,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria.

*Compensation for certain positions may vary based on the position’s location.

#LI-LP1

At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.

For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.  

Today, HHAeXchange supports Medicaid home and community-based care (HCBS) programs across all 50 states. Following the acquisition of Sandata, the platform processes electronic visit verification (EVV), visit records, and billing data for a significant portion of Medicaid home care services in the United States.

As Medicaid programs grow in scale and complexity, states and managed care plans face increasing pressure to ensure program integrity and protect public funds. HHAeXchange is expanding its Fraud, Waste, and Abuse (FWA) capabilities to help customers identify billing anomalies, improper payments, and potential fraud within their data.

The Sr FWA Data Analyst will play a key role in building these capabilities by analyzing large healthcare datasets to identify suspicious billing patterns and translating those insights into scalable detection tools. Working closely with product, engineering, and payer stakeholders, this role will help shape how fraud detection is embedded within the HHAeXchange platform. The ideal candidate brings deep knowledge of Medicaid regulatory requirements, the end-to-end revenue cycle, and the operational realities of both payers and providers in the home and community-based care space.

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This is a fully remote opportunity for candidates located in the EST or CST time zones within the US only.

• Travel up to 10%, including overnight travel

The base salary range for this US-based, full-time, and exempt position is $130,000-155,000/yr, not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.

This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.

HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.  

HHAeXchange is seeking a Product Manager, Data Management & Platform to help define, govern, and scale how data is used across our healthcare platform. This role sits at the intersection of Product, Engineering, and Clinical/Financial operations, ensuring that the data powering RCM, EHR, Payroll, Payments, and the Universal Patient Record is accurate, connected, and trusted — and that it serves as a reliable foundation for AI-driven innovation.

This is an individual contributor role for a healthcare product professional who understands real-world clinical and financial workflows, is energized by the potential of AI to transform healthcare data, and can translate complex requirements into clear, actionable product decisions. The ideal candidate brings 5–7 years of product management experience in healthcare IT, a solid grasp of data platform concepts, and a genuine enthusiasm for applying AI and machine learning to solve meaningful problems in the home care space.

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This is a fully remote opportunity for candidates located in the EST or CST time zones within the US only.

Product-Led Data Strategy

• Contribute to and help execute the product vision and roadmap for HHAeXchange's enterprise data platform.

• Define how core clinical, operational, and financial data is modeled, linked, and surfaced across the product ecosystem.

• Partner with domain PMs (RCM, EHR, Payroll, Payments) to align data structures to real-world workflows and end-user needs.

• Identify opportunities to reduce data fragmentation and improve consistency across product domains.

AI Enablement & Innovation

• Serve as a product champion for AI and machine learning use cases built on the HHAeXchange data platform.

• Define and prioritize data requirements that enable AI-driven features including predictive analytics, anomaly detection, automation, and intelligent recommendations.

• Work with data science and engineering teams to ensure training data quality, feature pipelines, and model outputs are properly governed and trustworthy.

• Evaluate and recommend AI tools, platforms, and frameworks that can accelerate product delivery and enhance the platform's intelligence capabilities.

• Stay current on emerging AI/ML trends in healthcare — including generative AI, LLM applications, and agentic workflows — and translate relevant developments into product opportunities.

• Champion responsible AI practices, including fairness, explainability, and compliance considerations relevant to healthcare data.

Healthcare Data Enablement

• Ensure data models support claims, visits, authorizations, care plans, payroll, and payer rules.

• Translate regulatory, audit, and reimbursement requirements into data standards and traceability.

• Improve data lineage and reconciliation across payer-provider workflows.

• Support the development of a Universal Patient Record that is complete, current, and usable across the platform.

Cross-Team Execution

• Collaborate closely with Engineering, Architecture, and Platform teams to shape data services, APIs, and pipelines.

• Write clear product requirements, user stories, and acceptance criteria for data platform features.

• Prioritize data initiatives based on customer impact, revenue risk, compliance needs, and scalability.

• Drive alignment across product teams on shared data definitions, metrics, and reporting standards.

Governance & Data Quality

• Support the definition of data ownership, stewardship, and quality standards across product domains.

• Help establish validation, monitoring, and escalation processes for data defects.

• Create visibility into data health for product leaders, operations teams, and stakeholders.
• Contribute to documentation of data standards and governance policies.

• Travel 10-25%, including overnight travel

The base salary range for this US-based, full-time, and exempt position is $105,000-115/yr, not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.

This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.

HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.

At OakNorth, we’re on a mission to empower the UK’s most ambitious businesses. Since 2015, we’ve lent over $21 billion across the UK and US, helped create more than 58,000 new homes and 36,000 new jobs, and supported hundreds of thousands of personal savers — all while fuelling the UK economy.

Team Mission 🚀 

We power OakNorth's relationship‑led lending with modern, modular tools across origination, underwriting, execution, and portfolio monitoring.

• As a Staff Engineer you’ll work with product and engineering across multiple squads to ensure the right trade-offs are being made and that dependencies and communication is managed effectively. Staff Engineers are the most visible engineers in the organisation and demonstrate technical excellence and our cultural values across all squads and to teams across the wider organisation. 
• Have a strong technical background, including 8+ years of experience designing and engineering large scale systems. 
• Lead squads to sensible architectural decisions on the most complex technical problems. 
• Measure your success in terms of business impact, not lines of code. 
• Internalise the best ideas from across the organisation, humbly setting a vision that others can get behind. 
• Embrace DevOps culture: You build it, you run it. 
• Work well cross-functionally and earn trust from co-workers at all levels. 
• Prefer simple solutions and designs over complex ones. 
• Enjoy working with a diverse group of people with different areas of expertise. 
• You challenge the existing approach when you see the cliff edge racing towards us, but also get on board once the options have been debated and the team has made a decision. 
• You are comfortably organised amongst chaos. 
• You are a broad thinker and have the capability to see the potential impact of decisions across the wider business. 
• Utilise GenerativeAI: Leverage GenAI tools to increase productivity and enhance decision making processes within the role

• Experience with AI/LLM integrations and Generative AI applications
• Knowledge of intelligent document processing and NLP techniques
• Familiarity with vector databases (e.g., Pinecone, Weaviate) and search platforms (e.g., OpenSearch, Elasticsearch)
• Exposure to agentic workflows or orchestration frameworks for multi-step AI reasoning, familiarity with MCP (Model Context Protocol), and frameworks like Claude Code

• We're pragmatic about our technology choices. These are some of the things we use at the moment:
• 🗃 Python
• 🗄️ PostgreSQL, BigQuery, MySQL
• 🎨 TypeScript, React, styled-components
• 🔧 Jest, React Testing Library, Cypress, pytest
• ☁️ AWS, GCP
• 🚀 ECS Fargate, Docker, Terraform, GitHub Actions

• We expect you to work in these ways, as well as encouraging and enabling these practices from others:
• Collaborate 💬 - We work in cross-functional, mission driven, autonomous squads that gel over time. We pair program to work better through shared experience and knowledge.
• Focus on outcomes over outputs ✅ - Solving a problem for users that translates to business results is our goal. Measurements focused on that goal help us to understand if we are succeeding.
• Practice continuous improvement 💡 - We optimise for feedback now, rather than presume what might be needed in the future and introduce complexity before it will be used. This means we learn faster. We share learnings in blame-free formats, so that we do not repeat things that have failed, but still have confidence to innovate.
• Seek to understand our users 👂 - We constantly seek understanding from data and conversations to better serve our users' needs, taking an active part in research to hear from them directly and regularly.
• Embrace and enable continuous deployment 🤖 - Seamless delivery of changes into an environment - without manual intervention - is essential for us to ensure that we are highly productive; consider resiliency; and practice security by design.
• Test outside-in, test first 🚦 - TDD keeps us confident in moving fast, and deploying regularly. We want to solve user problems, and so we test with that mindset - writing scenarios first, then considering our solution; coupling tests to behaviour, rather than implementation.
• You build it, you run it ⚙️ - We embrace DevOps culture and end-to-end ownership of products and features. Every engineer, regardless of their role, has the opportunity to lead delivery of features from start to finish.
• Be cloud native ☁️ - We leverage automation and hosted services to deliver resilient, secure services quickly and consistently. Where SaaS tools help us achieve more productivity and better quality results for a cheap price, we use these to automate low value tasks.

• We embrace difference and know that when we can be ourselves at work, we are happier, more motivated, and creative. We want to be able to bring our whole selves to work, have our own perspectives and know that we belong. As such, through your behaviours at work, we expect you to reflect and actively sustain a healthy engineering environment that looks like this: 
• A wide range of voices heard to the benefit of all 
• Teams that are clearly happy, engaged, and laugh together 
• Perceivable safety to have an opinion or ask a question 
• No egos - people listen to and learn from others at all levels, with strong opinions held loosely 

• This is a truly hybrid role, offering engineers the flexibility to work from home while also providing opportunities to collaborate in person with the team when it adds value. There’s no fixed requirement for days in the office, instead, we focus on creating space for engineers to engage meaningfully, whether that’s in-person for whiteboarding sessions or remote for deep focus work.
• Work-life balance 🌴 - 25 days holiday (plus bank holidays) each year, and enhanced family leave allowances. 
• Competitive salary & equity 🏦 - We want people to have a serious stake in the business. 
• Good kit 💻 - Your choice of the best laptop, running macOS.
• Team socials 🎉 - The opportunity to get to know each other outside of work. 
• Company socials 🥡 - A chance to catch up and meet new colleagues weekly over informal office breakfasts Lunches and dinners on OakNorth - or at our free barista bar every day. 
• Commuter support 🚲 - We offer the cycle to work and EV scheme.

About Us

We’re OakNorth Bank and we embolden entrepreneurs to realise their ambitions, understand their markets, and apply data intelligence to everyday decisions to scale successfully at pace.  

Banking should be barrier-free. It’s a belief at our very core, inspired by our entrepreneurial spirit, driven by the unmet financial needs of millions, and delivered by our data-driven tools. 

And for those who love helping businesses thrive? Our savings accounts help diversify the high street and create new jobs, all while earning savers some of the highest interest on the market.  

But we go beyond finance, to empower our people, encourage professional growth and create an environment where everyone can thrive. We strive to create an inclusive and diverse workplace where people can be themselves and succeed. 

Our story 

OakNorth Bank was built on the foundations of frustrations with old-school banking. In 2005, when our founders tried to get capital for their data analytics company, the computer said ‘no’. Unfortunately, all major banks in the UK were using the same computer – and it was broken.  

Why was it so difficult for a profitable business with impressive cashflow, retained clients, and clear commercial success to get a loan?  

The industry was backward-looking and too focused on historic financials, rather than future potential. 

So, what if there was a bank, founded by entrepreneurs, for entrepreneurs? One that offered a dramatically better borrowing experience for businesses? 

No more what ifs, OakNorth Bank exists.  

For more information regarding our Privacy Policy and practices, please visit: https://oaknorth.co.uk/legal/privacy-notice/employees-and-visitors/

Decile Group is transforming venture capital into a force for good in the world. We are working to launch 1,000 next-generation venture capital firms, changing the face of venture capital. We run VC Lab, the leading venture capital accelerator worldwide, and operate the Decile Hub platform — reducing the barriers of entry for next-generation investors to launch and grow meaningful early-stage investment firms.

We're looking for a Product Manager to join the Decile Group product team and own a meaningful surface area of Decile Hub. Read more about how Decile Group builds here: https://github.com/VCLab-Inc/Engineering

The ideal candidate is technically fluent, deeply curious about users, and relentlessly clear in their communication. You know how to take a messy problem and turn it into a crisp spec. You use AI tools daily — not as a novelty, but as a genuine part of how you research, write, and think. You're comfortable with ambiguity, good at asking the right questions, and allergic to vague requirements.

You don't need to come from a big company. You need to show us that you can ship.

Basic requirements:

• You must live and work within a few time zones of Pacific (California) time. We are on Zoom and Slack a lot.
• You must be able to write a spec that an engineer can build from without follow-up questions.
• You must be actively using AI tools in your daily workflow — research, writing, analysis, synthesis.
• You must be willing to get close to customers — calls, tickets, interviews — and turn what you learn into action.

If you want to own real product surface area, work with a sharp team, and build tools that thousands of investors use to run their firms — you belong at Decile Group.

And we want to work with you too.

• Own a product surface from discovery to launch. Define the problem, write the spec, drive alignment, oversee delivery, and follow up after launch to make sure it worked. You're accountable for outcomes, not just outputs.
• Write specs that engineers love. Functional requirements, edge cases, acceptance criteria, and open questions — all resolved before a ticket hits the sprint. You respect engineering time by doing your homework.
• Stay close to Decile Group customers. Shadow calls, run user interviews, read support tickets, and synthesize what you learn into clear, actionable insights. Be the voice of the customer without losing sight of business priorities.
• Use AI to be a better PM. Leverage AI for discovery synthesis, competitive research, spec drafting, user segmentation, and anywhere else it sharpens your thinking or speeds up your work.
• Maintain a clear, prioritized roadmap. Work with stakeholders across Decile Group to sequence what gets built and why. Communicate timelines, risks, and tradeoffs proactively.
• Partner across Decile Group teams. Work closely with engineering, ops, legal ops, and customer success. Bring clarity and structure to cross-functional workflows and keep everyone aligned.

• 4–7 years in SaaS product management or technical project ownership
• A track record of shipping complex features end-to-end
• Exceptional written clarity — your specs, tickets, and Slack messages are models of structured thinking
• Technical fluency — you understand how web applications are built and can have real conversations with engineers
• Active, sophisticated use of AI tools in your daily workflow
• Experience building user-centered flows for operational, financial, or workflow-heavy products
• Strong prioritization instincts — you can distinguish urgent from important and hold the line on scope

• Experience with venture capital, fund administration, or financial compliance workflows
• Background in operations, legal ops, or workflow automation
• Experience with product analytics and user behavior analysis to inform feature design and onboarding

How to Apply:

If you don't tick every box above, we'd still encourage you to apply. We're building a diverse team whose skills balance and complement one another.

Please describe why you are uniquely qualified for this position in the competitive field of Venture Capital to apply, as well as submitting your resume.

Salary and benefits are commensurate with experience.

Ternary is seeking a Staff Software Engineer, Full Stack, to join our team. Enterprises rely on Ternary to gain visibility, control, and optimization across their technology investments. As organizations scale their cloud, SaaS, and AI spending, Ternary provides the intelligence platform that helps finance and engineering leaders govern and maximize the value of their technology estate.

About us: We move fast, hold a high bar, and care deeply about the problems our customers are trying to solve. Our team brings together engineers, financial analysts, and operators who've built at scale before — and we're doing it again with more ambition. We value directness, ownership, and the kind of judgment that knows when to go fast and when to slow down and get it right. If you want to shape both the product and the culture of a company at an inflection point — where the decisions you make now will define how we scale — this is the right place.

Our Stack: We build on React, TypeScript, Node.js, Go, BigQuery, and PostgreSQL. Familiarity with some of these is helpful context. We don't expect expertise in all of them, but knowing the landscape will help you hit the ground running.

You:

• 10+ years of delivering scalable web applications and platform services across early-stage and enterprise companies, with expertise in designing and implementing data and analytics platforms, including BigQuery, large-scale data warehousing, and pipelines that support analytics and product insights.

• Experience building backend services in Golang.

• Passionate about learning new knowledge and skills, skilled at quickly ramping up in new areas.

• Bias for action — address ambiguity and hard conversations directly, and actively promote these traits across the engineering organization.

• Experience interacting with customers and business leads.

• Excellent critical thinking and communication skills.

• Regularly consider business lenses and tradeoffs, even for deeply technical engineering problems.

Responsibilities:

• As a Staff Engineer, you will be a technical anchor on our core platform — driving architectural decisions that determine how we scale to serve enterprise finance and engineering buyers.

• Lead critical and large-scale complex projects, providing both hands-on technical expertise and end-to-end project execution.

• Contribute across the stack, with core focus on API design, BigQuery and modern data warehousing, and React/TypeScript front-end development — with working familiarity across relational and non-relational databases, authentication, CI/CD, and customer-facing features.

• Drive and own end-to-end delivery of features, including planning, design, implementation, deployment, monitoring, adoption, and performance in production.

• Make informed tradeoffs between tactical and strategic technical approaches, balancing long-term scalability with immediate business needs.

• Own the architecture and quality bar of the platform, with primary accountability for the web application layer.

• Uphold a high bar by participating in technical discussions, providing feedback on specs, and making recommendations while uplifting and mentoring junior team members.

Comp and benefits:

• Company-sponsored travel to interact with colleagues several times a year.

• We provide generous health benefits, 401(k) plan, and a WFH budget for you to set up your home office (not available for contract or short term roles such as internships).

• Equity compensation so that all employees can participate in Ternary's success (not available for contract or short term roles such as internships).

• The team culture is the best of what you would expect to see at a startup combined with a level of maturity you would see at a much larger company.

At Ternary, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of racial orientation, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Ternary is a remote-first company.

The Opportunity

Hinge Health is hiring an Engineering Manager for our Growth Data Platform (GDP) pod in Bangalore. This is a pivot-point role for a leader who is ready to move beyond traditional software management and lead a team into the era of AI-Native Engineering and ML-Driven Growth. The GDP pod is the engine room of Hinge Health's growth strategy. You own the data pipelines, event streams, and the emerging "Intelligence Layer" that powers every member interaction—from the first ad they see to the "Daily Streak" notification that keeps them pain-free. In 2026, your mission is to transform GDP from a data mover to a decision engine. You will partner with Data Science to operationalize high-value ML models (like our Direct Mail Propensity Model and Contextual Bandits) that autonomously decide the channel, content, and timing of our marketing. Simultaneously, you will pioneer our "Harness Engineering" initiative, transforming your pod's workflow from manual coding to managing autonomous AI agents that build, test, and verify our data infrastructure. You will lead a high-performing team in Bangalore, serving as the strategic bridge between SF Product Strategy and technical execution

What You’ll Accomplish

• Build the "Intelligence Layer": Move beyond simple data piping. Architect the real-time decisioning layer that ingests ML signals (e.g., Churn Risk, Propensity to Convert) and routes them instantly to execution platforms like Iterable.

• Operationalize Growth ML Models: Partner with Data Science to take predictive models out of the lab and into production. You will own "Phase 3" of the model lifecycle: hardening, serving, and monitoring models that control millions of dollars in marketing spend.

• Lead the Transition to Harness Engineering: Drive the adoption of AI-native workflows (using tools like Cursor and Claude Code). Shift the team’s focus from "typing code" to building the test harnesses, specs, and safety rails that allow agents to autonomously maintain our pipelines.

• Guarantee Data Trust ("Glass Box" Observability): Champion a culture of radical observability. Implement automated "data sentinels" and contract tests that catch schema violations and freshness issues before they impact our marketing campaigns.

Basic Qualifications

• 2+ years of experience managing engineering teams. You are a "player-coach" who can build a "One Team" culture, bridging the gap between SF and Bangalore with high-agency leadership.

• 3+ years of experience with data engineering technologies including experience with distributed data processing frameworks (e.g., PySpark, Databricks) and SQL.

• Experience with production data pipelines and understanding of data lifecycle management, including pipeline orchestration, monitoring, and operational excellence practices.

Preferred Qualifications

• ML Ops & Model Serving Experience: You understand the lifecycle of data and models. You have experience with Kafka and event-driven architectures, and you know what it takes to serve an ML model in production (latency, feature stores, drift monitoring).

• AI-Forward Leadership: You are excited, not intimidated, by the shift to AI-assisted engineering. You are eager to experiment with new workflows where engineers act as architects and auditors of AI-generated code.

• Architectural Rigor: You can simplify complex systems. You have a track record of converging "sprawling" pipeline patterns into robust standards (e.g., moving ad-hoc scripts into a unified Event-Driven Architecture).

• Operational Excellence: You value SLOs, runbooks, and incident management. You believe that "production reliability" is a feature, especially when dealing with data that drives real-time member health decisions.

• Experience with Marketing Tech (Iterable, Braze) or Customer Data Platforms (Segment, Hightouch).

• Experience implementing Contextual Bandits or similar experimentation frameworks.

• Background in Healthcare/HIPAA compliant environments.

About Hinge Health

At Hinge Health, we’re using technology to scale and automate the delivery of healthcare – starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide. With an AI-powered human-centered care model, Hinge Health leverages cutting-edge technology to improve outcomes, experiences and costs to help people move beyond their pain. The platform addresses a broad spectrum of MSK care – from acute injury, to chronic pain, to post-surgical rehabilitation – through personalized, evidence-based care.

As the preferred partner to 50+ health plans, PBMs and other ecosystem partners, Hinge Health is available to over 20 million people across more than 2,550 employers. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore. Learn more at http://www.hingehealth.com.

Hinge Health Hybrid Model

We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days/week.

This is a Bengaluru-based role that involves regular interaction and collaboration with Hinge Health colleagues in San Francisco, CA. Time zones: San Francisco is the Pacific Time Zone, which is 12 hours and 30 minutes behind India Standard Time – for example, 8am in San Francisco is 8:30pm in Bengaluru. Standard working hours in San Francisco are between 8am - 6pm. For this role, applicants should be open to meetings in the late evening following India Standard Time.

What You'll Love About Us

• Inclusive healthcare and benefits: In addition to comprehensive medical, dental, and vision coverage, we provide employees and their family members with Group Medical Coverage (GMC), Group Term Life Insurance (GTL), and Group Personal Accident Insurance (GPA).

• We also offer a lifestyle stipend to support your overall well-being, along with learning and development opportunities to help you grow both personally and professionally.

• Grow with us through discounted company stock through our ESPP with easy payroll deductions.

Culture & Engagement

Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law.

By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy.

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Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use "@hingehealth.com" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to security@hingehealth.com.

About Radformation

Radformation is transforming the way cancer clinics deliver care. Our innovative software automates and standardizes radiation oncology workflows, enabling clinicians to plan and deliver treatments faster, safer, and more consistently, so patients everywhere can receive the same high-quality care.

Our software focuses on three key areas:

• Time savings through automation.
• Error reduction through automated systems.
• Increased quality care through advanced algorithms and workflows.

We are a fully remote, mission-driven team united by a shared goal: to reduce cancer’s global impact and help save more of the 10 million lives it claims each year. Every line of code, every product release, and every conversation with our customers brings us closer to ensuring no patient’s treatment quality depends on where they live.

Why This Role Matters

In this role you will help advance Radformation’s AI-driven radiotherapy products by building and improving machine learning models that directly impact clinical workflows and patient outcomes.

You will work closely with AI, cloud, research, and product teams to develop scalable data pipelines, improve model performance, and support regulatory submissions for medical device software.

Responsibilities Include:

• Design, build, and maintain robust ETL pipelines to support AI model development and deployment.
• Develop, train, and optimize machine learning models used in radiotherapy software.
• Collaborate with product and research teams to bring new AI-driven features and algorithms into production.
• Support FDA submissions by contributing to documentation, validation, and regulatory processes.
• Participate in design reviews, risk analyses, and cross-functional discussions to ensure safe and effective products.
• Mentor junior engineers and data scientists and contribute to a collaborative team environment.

Required Experience:

• MS in Computer Science, Mathematics, Statistics, or a related field with 3+ years of experience.
• Expert-level proficiency in Python.
• Hands-on experience building, training, and tuning machine learning models.
• Strong experience with PyTorch and/or TensorFlow.
• Experience developing convolutional neural networks, including U-Net architectures.
• Experience using Git and modern code repositories (GitHub, Bitbucket, Azure DevOps, etc.).

Preferred Experience:

• Experience with medical imaging and image processing techniques (segmentation, resampling, smoothing).
• Familiarity with clinical data standards such as DICOM or HL7.
• Experience working in regulated environments (HIPAA, FDA, or medical device software).
• Experience with modern AI-assisted development tools (e.g., Cursor, Claude Code, Codex).

AI & Hiring Integrity

At Radformation we believe AI can be an incredible tool for innovation, but our hiring process is all about getting to know you, your skills, experience, and unique approach to problem solving. We ask that all interviews and assessments be completed without tools that generate answers in real time. This helps ensure a fair process for everyone and allows us to see your authentic work. Using such tools during the process may affect your candidacy.

Benefits & Perks — What Makes Us RAD

We care about our people as much as we care about our mission. We offer competitive compensation, benefits, and the opportunity to make an impact in the fight against cancer. The salary range for this role is $160,000 - $200,000 USD base, plus bonus eligibility.

For US teammates (via TriNet):

Health & Wellness

• Multiple high-quality medical plan options with substantial employer contributions toward premiums, often covering the full cost depending on the plan selected.
• Health coverage starting on day one
• Short-term and long-term disability and supplementary life insurance

Financial & Professional Growth

• 401(k) with employer match vested immediately
• Annual reimbursement for professional memberships
• Conference attendance and continued learning opportunities

Work-Life Balance & Perks

• Self-managed PTO and 10 paid holidays
• Monthly internet stipend
• Company-issued laptop and one-time home office setup stipend
• Fully remote work environment with virtual events and yearly retreats, because we like to have fun while doing work that matters

For global teammates (via Deel):
At Radformation, we want every team member to feel supported, no matter where they live. For teammates outside the US, we provide benefits that align with local laws and standards, working with our Employer of Record (EOR) partners to ensure fairness and equity. This means your benefits package will be locally compliant, competitive, and designed to support your health, financial security, and work-life balance.

Our Commitment to Diversity

Cancer affects people from every walk of life, and we believe our team should reflect that diversity. Radformation is proud to be an equal opportunity workplace and an affirmative action employer. We welcome candidates from all backgrounds and are committed to fostering an inclusive environment for all employees.

Agency & Candidate Safety Notice

Radformation does not accept unsolicited resumes from agencies without a signed agreement in place. We do not partner with third-party recruiters unless explicitly stated. All legitimate communication from Radformation will come from an @radformation.com email address. If you receive outreach from another domain or via unofficial channels, please contact careers@radformation.com.

Why TrueML?

TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.

The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.

About This Role:

As the Engineering Manager for our Data Platform, you will be the primary architect of the ecosystem that powers TrueML’s intelligence. We are currently in a phase of purposeful scaling, and we need your leadership to build a rock-solid, high-performing data foundation that bridges the gap between raw infrastructure and actionable insights. Your goal is to champion data integrity and technical excellence while leading a world-class team during this period of deliberate expansion.

• Empower a Talented Team: Lead, manage, and mentor a group of data engineers, fostering their career development and championing a culture of technical excellence.
• Architect Resilient Infrastructure: Own the design and development of data pipelines and systems to ensure they are prepared for company-wide expansion.
• Champion Data Trust: Act as a relentless advocate for data quality by implementing the system controls and SLAs necessary for flawless production processes.
• Collaborate Strategically: Partner cross-functionally with Data Science and Product managers to translate complex business needs into efficient, well-documented data models.
• Maintain Technical Excellence: Perform high-impact code reviews and provide critical guidance to optimize ETL pipelines and schema performance.
• Balance Leadership with Craft: Contribute directly to development work and troubleshooting alongside your team when the mission requires it.
• Drive Data Accessibility: Ensure data is a true business enabler by making it reliable and easily accessible for stakeholders across the company.

We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference.

Our Dedication to Diversity & Inclusion

TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

For California Applicants: we collect personal information for employment purposes. We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our Privacy Policy.

Senior Product Designer – Product Design / UX

Remote – LATAM / Full-time / Remote

Info on the Senior Product Designer role

Ready to take the next step in your international career? We can support you!

Ubiminds is a GPTW-certified, people-first company that partners with American software product companies to scale their global teams. We connect top LATAM talent with international product companies while providing full employer-of-record support and long-term career development.

In this opportunity, you will join a product-driven organization focused on delivering mobile-first and data-driven user experiences. The team builds products used by millions of users and relies heavily on research, experimentation, and analytics to continuously improve the user journey.

This role combines UX strategy, product thinking, and hands-on design execution, contributing to the creation of high-quality digital experiences across web and mobile platforms.

Challenge

We are looking for a Senior Product Designer (5+ years) who thrives in user-centered design environments and enjoys solving complex product challenges.

You will work closely with Product Managers, Engineers, Data Analysts, and Researchers to identify opportunities, improve critical user journeys, and design intuitive, scalable product experiences.

This role requires strong ability to translate complex product problems into elegant design solutions, supported by quantitative and qualitative insights.

As a senior contributor, you will also help evolve the design system, contribute to design culture, and ensure that design decisions remain aligned with business objectives and user needs.

Responsibilities

• Champion design thinking and promote collaboration across teams

• Collaborate with Product, Engineering, Data, and Research teams to identify user needs and define product requirements

• Design end-to-end product experiences across web and mobile platforms

• Translate complex problems into clear user journeys and design solutions

• Align design decisions with business goals and product strategy

• Create and maintain design artifacts, including:

  • Information architecture diagrams

  • User flows

  • User stories and use cases

  • Wireframes and high-fidelity mockups

  • Interactive prototypes

• Prototype and test user interactions and workflows

• Use qualitative and quantitative research insights to guide design decisions

• Analyze product analytics and behavioral data to improve user experience

• Contribute to the evolution and governance of the design system

• Participate in design critiques, providing and receiving constructive feedback

• Document design decisions and maintain clear product design documentation

Mandatory Skills

• 5+ years of professional experience in product design

• Strong portfolio demonstrating end-to-end UX/UI design work

• Proven experience applying human-centered design principles

• Experience designing for web and mobile applications

• Ability to lead or independently execute medium to large product initiatives

• Experience conducting or leveraging user research (discovery and validation)

• Experience using analytics and behavioral data to inform design decisions

• Experience working with design systems

• Strong communication and storytelling skills for presenting design decisions

• Ability to collaborate effectively with cross-functional teams

Nice to Have

• Experience designing products in B2C eCommerce or B2B SaaS environments

• Familiarity with front-end technologies such as HTML5, CSS, and JavaScript

• Experience facilitating Design Thinking workshops or Design Sprints

• Strong self-management and accountability in fast-paced environments

• Passion for innovative product experiences and emerging industries

Team & Environment

• Cross-functional product team including Product, Engineering, Data, and Research

• Culture focused on collaboration, creativity, and experimentation

• Strong emphasis on research-driven and data-informed design decisions

• Opportunity to work on large-scale mobile and web products

• Environment that encourages design ownership and innovation

About Ubiminds

Our Culture

People First. We are all about people!
Challenge yourself. Continuous improvement is in our essence.
Make it happen. Attitude and commitment matter.
We’re in this together. Collaboration is key.
Averaging on awesome. We strive to exceed expectations.
Keep it real. Transparency and honesty guide us.

Perks and Benefits

As a Senior Product Designer @Ubiminds, you will:

• Work as part of an international product engineering team

• Receive full back-office support (HR, career guidance, concierge services)

• Enjoy a 100% remote work model

• Get a MacBook provided by Ubiminds

• Access free English lessons with native speakers

• Participate in internal tech communities and growth initiatives

• Be eligible for our referral bonus program

• Optionally use our Florianópolis office with snacks, games, and weekly massages

How our process works

1. Interview with a Tech Recruiter

2. Client process (this may vary)

3. Offer 🎉

• Provide mid-level i
  
  Please mention the word **ENRAPT** and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

About GoodLeap:

GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $27 billion in financing for sustainable solutions since 2018.

GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.

GoodLeap is seeking a results-driven B2B/B2B2C Senior Product Marketing Manager to lead go-to market strategy and execution across three core product areas: payments technology, financing

solutions, and SaaS products for home improvement trades.

This role is ideal for a strategic product marketer with experience in fintech, payments, or B2B

platforms, who can translate complex products into clear, compelling value propositions. You will play

a critical role in scaling GoodLeap’s payments and financing ecosystems today, while helping shape

the foundation for future SaaS offerings for home improvement trades.

• Go‐to‐Market Strategy & Product Positioning
• Own and execute go-to-market strategies for B2B payments technology and financing products, with growing responsibility for new SaaS platform capabilities for home improvement trades.
• Develop clear, differentiated product positioning and messaging across payments acceptance, financial workflows, and business operations.
• Partner closely with Product, Sales, Customer Success, and Creative to ensure alignment between product strategy, customer needs, and commercial execution.
• Support early-stage SaaS product go-to-market strategy and execution, including positioning, messaging, and launch readiness.
• Campaign & Launch Management
• Lead cross-functional launches and adoption campaigns for payments and financing products, including new features, programs, and product releases.
• Collaborate with Marketing and Sales to deliver integrated campaigns across lifecycle, demand generation, and customer communications.
• Test, refine, and optimize messaging, channels, and tactics to drive adoption, usage, and revenue impact.
• Sales Enablement & Revenue Support
• Enable Sales and Account teams with messaging frameworks, pitch decks, competitive positioning, customer-facing assets, and training materials.
• Support acquisition, activation, and expansion motions by aligning product messaging to contractor, SMB, enterprise, and strategic partner needs.
• Work closely with Sales to refine ICPs, qualification criteria, and funnel strategy across payments, financing, and SaaS offerings.
• Data Analysis & Performance Optimization
• Define and track KPIs tied to adoption, activation, conversion, retention, and product-led revenue growth.
• Analyze campaign and product performance to surface insights and continuously optimize go-to-market execution.
• Champion data-driven decision-making across product marketing initiatives.
• Customer & Market Insight
• Develop a deep understanding of how contractors and home improvement professionals manage payments, financing, and day-to-day business operations.
• Conduct customer, market, and competitive research to inform product positioning and roadmap influence.
• Translate insights into actionable recommendations for Product, Growth, and Leadership teams.

• 7+ years of experience in B2B or B2B2C product marketing, with 4+ years of highly relevant experience within fintech, merchant services, payments technology, or financial services platforms, preferred.
• Strong understanding of merchant services or B2B payments, financing products, and the operational needs of home improvement trade businesses.
• Experience supporting early-stage or evolving product lines, including contributing to go-to market strategy ahead of full launch.
• Proficiency with product marketing, analytics, and campaign tools.
• Highly analytical with strong storytelling, positioning, and messaging skills.
• Excellent communication, collaboration, and stakeholder management abilities.
• Comfortable operating in fast-paced, high-growth environments with evolving product roadmaps.

Compensation: $130,000 - $140,000 annually

Additional Information Regarding Job Duties and Job Descriptions:

Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.

If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you!  Apply today!

Long View. A career that helps you get more out of life.

A Long View career helps you get more out of life. We don’t just say it, we prove it. Every day. We’re proud of our reputation as one of North America’s most dynamic IT providers — and we’re even prouder of our culture that allows our people to live life to its fullest. At Long View, we create an environment of collaboration and support, of innovation and enthusiasm, of inclusion and belonging. As a member of the Long View team, you’ll see how our company’s core pillars — Integrity, Competence, Value, and Fun — resonate through the workplace. And in a recent survey, 90% of Long View team members rated Long View as a good or great place to work!

Are you Power BI Specialist?

We are looking for Power BI Specialist to join Data & Dynamics practice focusing on Microsoft's Analytics stack, including Power BI and Azure technologies. The role of Power BI Specialist you will be responsible for driving value through Microsoft's Analytics stack, inclusive of Power BI, and accompanying Azure technologies.

• Work with internal and external stakeholders driving value through Microsoft’s Analytics stack, inclusive of Power BI, Dataverse, and accompanying Azure technologies.
• Ensure solution design, and implementations solve clients’ requirements and challenges.
• Driving workshops with clients to understand their dashboard and reporting requirements.
• Creating wireframes to visualize reporting requirements,
• Modeling data in Power BI
• Metrics & Advanced Calculations via Data Analysis Expressions
• Deploying Power BI dashboards and reports, and
• Client Education on Power BI & Training

• 5+ years of experience working as a report developer with
• Experience with tools such as Power BI, Tableau, or Qlik
• Proficient with SQL
• Experienced DAX calculations
• Strong written and oral communication skills
• Excellent time management, crisis management, organizational and problem-solving skills
• A proven ability to work with both business and technical stakeholders to:
• o   Elicit/understand requirements.
• o   Define the high-level business case the solution provides.
• o   Lead architectural design sessions.
• o   Define implementation approaches.
• o   Guide customers’ decision making to ensure implemented solutions are sustainable.
• A talent for incorporating data processing and workflow management tools into pipeline design.
• Exceptional problem-solving skills to help create code and application-level improvements using profiling tools, debugging logs, performance metrics, and other data sources. 

• Great people and culture 
• Fun is one of our core values
• Career growth â€“ Permanent staff positions, paid training, career life planning, and relocation and travel opportunities
• Interesting work â€“ Be part of exciting projects while accessing all the latest technologies

Want to learn more about our culture and life at Long View? Check us out on LinkedIn and Instagram!

Long View’s mission of building the best and most sustainable team-driven organization requires dedicated and ambitious people. Through employee resource groups, impactful and effective conversations, townhalls and various company-wide training, including how to reduce unconscious bias, we are fostering an inclusive environment. We are committed to taking consistent, positive and lifelong action to be a diverse and equitable workplace because we know that the most effective companies are made up of people with varied identities, experiences and backgrounds.

Long View is an equal opportunity employer. If you have any accommodation requests for your interview or the role, please let your friendly Recruiter know.

About Us

The Patrick J. McGovern Foundation (PJMF) is a philanthropic organization dedicated to advancing artificial intelligence and data science solutions to create a thriving, equitable, and sustainable future for all. PJMF works in partnership with public, private, and social institutions to drive progress on our most pressing challenges, including digital health, climate change, broad digital access, and data maturity in the social sector.

About the Role

We're hiring a Junior Full-Stack Developer to help us build technology that matters. At the Patrick J. McGovern Foundation, we believe that data and AI products can be catalysts for systemic change when built with rigor, deployed with intention, and designed alongside the people they're meant to serve.

Our Products & Services team operates like a technical studio inside a foundation. Small team. High trust. Rapid cycles. We're looking for a Junior Full-Stack Developer to join us in building cloud-based tools that translate machine learning insights into actionable applications for the social sector. As a Junior Full-Stack Developer, you'll contribute across the entire development lifecycle—from cloud architecture and backend services to user-facing applications. You'll grow through doing: taking on increasing ownership, learning from experienced engineers, and shipping products that support real-world impact. If you're looking for a place to grow your craft while contributing to meaningful work, we want to hear from you.

This is an early-career, growth-oriented engineering role for developers with a strong technical foundation and ready to deepen their experience building production systems in a mission-driven environment. Junior Full-Stack Developers progressively take on greater ownership over time, developing full-stack capabilities through mentorship, hands-on contribution, and exposure to end-to-end systems while learning how to balance technical quality, user needs, and impact. 

• Collaborative Development: Work closely with the Director, Data Scientist, Full-Stack Developer, and Platform Engineer to understand project requirements and contribute to the development of AI-based products. Contribute to the vision and execution of product architecture, UI/UX designs, infrastructure deployment, and ensuring high-quality work output.
• Nonprofit Consultation Support: Contribute to consultations with nonprofit partners exploring data and technology solutions. The ability to explain technical concepts with empathy and clarity is critical, as this role helps equip partners with the tools and knowledge to succeed.
• Product Integration: Contribute to the design, development, and deployment of full-stack applications for cloud-based solutions that align with the rapid prototyping development approach, under the guidance of senior team members, with increasing ownership over time. Collaborate with the team to integrate ML model predictions into user-friendly interfaces, ensuring the reliability, safety, and scalability of the end products. 
• User-Centric Design: Implement intuitive user interfaces for AI-backed web and mobile applications. Understand end-user needs and requirements to design and develop applications that effectively address challenges within the social good sector. Prototype, test, and iterate on full-stack solutions, incorporating user feedback for continuous improvement. 
• Cross-Functional Collaboration: Collaborate with team members to address communication, outreach, and resource needs related to front-end and mobile development. Ensure effective communication with cross-functional teams, contributing to the success of AI products. 
• Learning & Growth: Seek and incorporate feedback through code reviews and pair programming. Grow familiarity with cloud infrastructure, deployment workflows, and system design. Build confidence working across the full stack over time, with mentorship and support.

• Experience – 1-3 years of professional experience in full-stack development, with proven expertise in both UI development and backend integration. Experience with Python-based codebases is required. 
• Development – Proficiency in JavaScript, HTML, CSS, and experience with modern front-end frameworks such as React or React Native. Strong programming experience with Python or Go is strongly preferred. Experience with CI/CD tools (e.g., GitHub Actions, etc), source control (GitHub), and issue tracking (Jira) is also strongly preferred.
•  Infrastructure – Familiarity with relational databases (e.g., PostgreSQL, MySQL) is required, and familiarity with NoSQL systems (e.g., MongoDB, DynamoDB) is a plus. Experience with cloud services (e.g. AWS), containerization (e.g., Docker), orchestration (e.g., Kubernetes), and Infrastructure as Code (e.g., Terraform) is also a plus, but not required. 
• Communication – Excellent communication skills, both written and verbal, to convey technical concepts to diverse audiences.
• Teamwork – Effective team player who understands the responsibility every individual brings to the table and how to encourage and drive results from each team member; ability to work collaboratively within a high-performance, startup-like environment.
• High Performance – Ability to quickly learn new technologies and methodologies to ensure successful and timely completion of product development.
• Results-oriented – Highly organized and detail-oriented, self-driven, and able to adapt to learning and implementing new technologies, and creative in solving issues as they arise.
• Cultural alignment – An advocate for social progress; interest in emerging technologies and their ability to advance societal outcomes.
• Work eligibility – Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

• Health Coverage – Foundation-paid medical, dental, and vision insurance for employees, spouses/domestic partners, and dependents. HSA/FSA plans, life insurance, and short- and long-term disability coverage.
• Long-term Rewards – 401(k) retirement plan with generous matching up to 6% of annual pay, plus an additional discretionary match at the end of the year.
• Flexible PTO – Progressive approach to PTO reflecting our respect for diversity, commitment to our team members, and ability to adapt to changing employee values. In addition, the Foundation recognizes 11 paid national holidays per year and may also announce closure for local, regional, or state holidays.
• Remote Work Environment – Ability to work 100% remotely, but not alone - with mature, socially minded professionals.
• Wellness Support – In addition to our health coverage, we offer access to Ginger+, an Active and Fit Gym membership discount, and Smart Spend Plus, along with financial well-being providers.
• Parental Leave – Up to 6 months of gender-neutral paid leave for parents and caregivers when they have a new addition to their families.
• Learning Reimbursements – Foundation policy encouraging employees to explore development opportunities such as peer learning, internal trainings, and external activities; savings on student loans (available via insurance provider).
• Philanthropic Gift Matching – opportunity for team members to support vulnerable communities, reflecting PJMF’s commitment to social impact.

It is important to us that our hiring process is accessible to everyone. If you require accommodations to participate in the interview process, please let us know when you apply. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data is at the core of modern business, yet many teams struggle with its overwhelming volume and complexity. At Atlan, we’re changing that. As the world’s first active metadata platform, we help organisations transform data chaos into clarity and seamless collaboration.

From Fortune 500 leaders to hyper-growth startups, from automotive innovators redefining mobility to healthcare organisations saving lives, and from Wall Street powerhouses to Silicon Valley trailblazers — we empower ambitious teams across industries to unlock the full potential of their data.

Recognised as leaders by Gartner and Forrester and backed by Insight Partners, Atlan is at the forefront of reimagining how humans and data work together. Joining us means becoming part of a movement to shape a future where data drives extraordinary outcomes.

We are looking for a Senior Product Analyst to join our Engineering & Product organization. This isn't a traditional "pull the data for this dashboard" role. You will be a strategic partner to our engineering and product leaders, acting as the "eyes and ears" of our roadmap. You will find the signals in the noise, anticipate bottlenecks before they happen, and define the metrics that guide our journey into an AI-first world.

🌟 The Vision for this Role

The future of BI and analytics is shifting from "static dashboards" to "agentic insights." At Atlan, we believe that metadata is the fuel for this transition. As a Senior Product Analyst, you aren't just measuring what happened yesterday; you are helping us define the future of how AI interacts with data.

You will be embedded deeply within Engineering and Product, working as a proactive force. You don’t wait for a ticket to be assigned—you hunt for the data patterns that tell us where our product should go next.

🛠️ What You’ll Do

• Be AI-Native: Leverage AI and LLMs not just in the product, but in your own workflow. You will help define how we measure the efficacy of Atlan AI, agentic workflows, and the "readiness" of our customers’ data for the AI era.

• Proactive Signal Discovery: You won’t just report on KPIs; you will find the hidden signals. Whether it’s identifying a drop in connector performance or discovering a "power user" pattern in a new feature, you bring the "why" to the "what."

• Guide the Roadmap: Work side-by-side with Engineering and Product leads to pressure-test our strategy. Your insights will directly influence what we build next, ensuring we are solving the most high-leverage problems for our users.

• Full-Stack Ownership: From instrumenting new events in our codebase to building complex models that predict product-led growth to jumping into any cross functional data projects, you own the data lifecycle for any data problems

• Strategic Storytelling: Translate complex engineering metrics into strategic narratives for our leadership team, helping us understand the health of our platform and the velocity of our innovation.

🎯 What We’re Looking For

• AI Visionary: You have a clear perspective on how AI is changing the data landscape. You understand that the future of analytics isn't just better charts, but autonomous context and intelligent automation. You worked with not just structured data but have started getting your hands dirty with unstructured data as well and LLMs+data projects.

• The "Owner" Mindset: You are intensely proactive. You thrive in "chaos" and love the challenge of building a function from the ground up. You don't wait for a problem to be assigned; you find patterns and problems and bring ideas and solution.

• Analytical Powerhouse: You are a master of SQL and a programming language such as python, with experience in the modern data stack (Snowflake, dbt, Fivetran, etc.). You’ve worked with product analytics tools (Mixpanel, Amplitude etc) and know how to instrument for growth. But you are well aware of how these can be leveraged and are evolving with AI.

• Engineering Empathy: You understand how software is built. You can speak the language of engineers and understand the trade-offs between technical debt and feature velocity.

• 2+ Years of Experience: You’ve spent significant time in high-growth SaaS environments, ideally within data, infrastructure, or developer tools.

Why Is Atlan for You?

At Atlan, we believe the future belongs to the humans of data. From curing diseases to advancing space exploration, data teams are powering humanity's greatest achievements. Yet, working with data can be chaotic—our mission is to transform that experience. We're reimagining how data teams collaborate by building the home they deserve, enabling them to create winning data cultures and drive meaningful progress.

Joining Atlan means:

1. Ownership from Day One: Whether you're an intern or a full-time teammate, you’ll own impactful projects, chart your growth, and collaborate with some of the best minds in the industry.

2. Limitless Opportunities: At Atlan, your growth has no boundaries. If you’re ready to take initiative, the sky’s the limit.

3. A Global Data Community: We’re deeply embedded in the modern data stack, contributing to open-source projects, sponsoring meet-ups, and empowering team members to grow through conferences and learning opportunities.

As a fast-growing, fully remote company trusted by global leaders like Cisco, Nasdaq, and HubSpot, we’re creating a category-defining platform for data and AI governance. Backed by top investors, we’ve achieved 7X revenue growth in two years and are building a talented team spanning 15+ countries.

If you’re ready to do your life’s best work and help shape the future of data collaboration, join Atlan and become part of a mission to empower the humans of data to achieve more, together.

We are an equal opportunity employer
At Atlan, we’re committed to helping data teams do their lives’ best work. We believe that diversity and authenticity are the cornerstones of innovation, and by embracing varied perspectives and experiences, we can create a workplace where everyone thrives. Atlan is proud to be an equal opportunity employer and does not discriminate based on race, color, religion, national origin, age, disability, sex, gender identity or expression, sexual orientation, marital status, military or veteran status, or any other characteristic protected by law.

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

UI Developer (React and Node)

• AngularJS, JavaScript, CSS3, React JS, HTML5, Vue JS, Angular

• 8+ years focused on web development.
• Deep knowledge of React, Cordova, NodeJS, Typescript, and HTML
• 5+ years of experience in building ReactJS applications using React in complex applications.
• Expertise in building and maintaining large-scale web applications.
• Deep understanding of Javascript and HTML ecosystems with experience delivering web UIs as a feature developer
• Expertise in writing tests for complex applications.
• Experience with CI/CD, version control, defect tracking, and build systems.
• Knowledge of web and mobile security 
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• DI: https://www.brillio.com/services-digital-infrastructure/
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• Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/
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As a Sr. Talent Acquisition Partner (Technical) at vCluster Labs, you aren't just filling open requisitions; you are the architect of our engineering capability. In this role, you will serve as the primary ambassador to the technical community, identifying and attracting the builders who will shape the future of Kubernetes virtualization.

You will have the unique opportunity to partner directly with Engineering and Product leadership to execute a modern, data-driven hiring strategy that prioritizes speed and precision over volume as our first EMEA based recruiter.

As a Talent Acquisition Partner (Technical), your role will include:

• Full-Cycle Technical Recruiting: Own the end-to-end hiring process for Engineering, Product, and Technical roles globally. You will guide candidates from the initial talent screen through to the offer stage, ensuring a seamless flow.

• Strategic Sourcing: Proactively source and engage passive talent from the open-source, Kubernetes, and developer tool communities. You will build high-quality pipelines so we do not rely solely on inbound applicants for critical technical roles.

• Data-Driven Execution: Champion our structured interview process. You will ensure scorecards are utilized effectively to reduce bias, maintaining strict data integrity within our ATS (Ashby) to inform hiring decisions.

• Candidate Experience: Drive an exceptional experience by ensuring transparent communication. You will treat candidates with "customer-centric speed," ensuring decisions are made in days, not months.

• Partnership: Collaborate with Hiring Managers to define technical requirements and ideal talent profiles, moving beyond "order taking" to act as a true consultant on market trends and closing strategies.
  

This role could be a fit for you if you bring:

• Experience: You have 5+ years of full-cycle recruiting experience, specifically for technical roles (Software Engineering, DevOps/Platform, Product) within a high-growth tech startup.

• Technical Fluency: You speak the language. You understand the difference between a container and a cluster, and you are comfortable discussing technologies like Kubernetes, Go, and Terraform with candidates.

• A "Builder" Mindset: You are comfortable operating in ambiguity and enjoy refining processes to make them more efficient.

• Data-Centric Approach: You value results over tasks. You use data and analytics to track pipeline health and inform decision-making.

• High EQ & Active Listening: You are an effective communicator who listens genuinely to understand the perspectives of both candidates and hiring managers.
  

Bonus points for:

• ATS Proficiency: Experience with Ashby.

• Domain Expertise: Experience recruiting for open-source technology, developer tools, or Kubernetes-focused companies.

• Global Reach: A background in hiring for distributed/remote-first teams.

About vCluster Labs

We are a venture-backed tech startup striving to be the leading force in enabling platform engineers. We raised +$30M from top-tier VCs such as Khosla Ventures (first investor in OpenAI, GitLab, Stripe, Doordash) and are in a hyper-growth phase looking for motivated people to complement our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe and we have a remote-first work culture.

We're the company behind vCluster, an open-source technology for virtualizing Kubernetes (+10k GitHub stars). Open source is part of our DNA.

The adoption of our commercial product based on vCluster has grown extremely fast (multi-million dollar revenue) and our customer base includes some of the biggest companies in the world, including 6 Global Fortune 500 companies as well as some of the fastest-growing tech unicorns.

Benefits

We offer the following benefits:

• Competitive Salary: We offer a competitive compensation package, including equity.

• Platinum-Level Insurance: Health, dental, vision, and life Insurance, including plans for you and eligible dependents (benefits vary depending on country).

• Flexible Working Schedule:  You have a doctor’s appointment or need to head to the supermarket to get groceries at 2pm? We won’t have an issue with that. To us, results matter more than clocking in and out at the same time every day.

• Workplace Flexibility:  We’re very flexible about where you work. We know things can change in life and we’re happy to adjust the work environment for you along the way.

Culture & Values

At vCluster Labs, we value and stand for:

1. Open Source, Open Mind: We are actively contributing to and maintaining open-source projects. Internally, we foster meritocracy — the strongest ideas win, no matter who or where they come from.

2. Build Tomorrow’s Standards, Intentionally: We don't just ship software; we define the state-of-the-art of tomorrow. We are fearless in tearing down old approaches to build something better, but we are disciplined in how we do it because we know our users rely on our technology to run mission-critical infrastructure platforms.

3. Create Wow: We measure success by the experience we generate, both inside and outside the company. For our customers, this means impressive speed and intuitive experiences. For our team, this means going the extra mile to support one another and to continuously drive each other to new heights.

4. Own the Outcome: We understand that our responsibility doesn't end when a task is checked off; it ends when the value is delivered. We connect our daily individual actions to the broader success of the company and our customers.