Senior Fullstack Engineer, Core Products
Listed on 2026-10-17
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Software Development
Full Stack Developer, Backend Developer, AI Engineer (Applied/Software), Software Engineer
About Clair
If you can send your friends money in seconds, why does it still take your employer two weeks to send your paycheck?
At Clair, we are on a mission to create financial freedom for America's workers by giving them a digital banking platform that allows them to get paid as soon as they clock out of work. But we're not just another digital bank or on-demand pay provider. We meet Americans at their place of work by embedding our products within the scheduling, workforce management, and payroll apps they already use every day.
Learn more about us at
Who We Are Looking ForAt Clair, we are building technology that transforms how people access their pay. As a Senior Software Engineer on the Core Products team, your job extends well beyond converting tickets into pull requests. We are looking for an engineer who operates like a Product Manager: someone who takes full ownership of the feature lifecycle, obsessively measures post-launch business outcomes, and designs systems with downstream impacts—like data pipelines and analytics—in mind.
You will lead the adoption of AI-native engineering practices across the team, leveraging state-of-the-art models, building autonomous agents, and embedding agentic workflows into both our core product architecture and internal development processes.
We operate at the intersection of fintech, embedded finance, and real-time payroll systems—building products that handle millions of transactions with sub-second performance. Your work will directly enable millions of hourly workers to access financial freedom.
If you are a problem solver who loves technical challenges, is passionate about performance optimization, security, and scalable architecture, and wants to influence key product decisions, you’ll love working with us.
What You’ll DoEnd-to-End Product Ownership: Partner directly with design, product, and data teams to define technical strategy, question assumptions, and evaluate product trade-offs before writing a line of code.
Build with AI & Agents: Architect and deploy features utilizing AI models and autonomous agentic workflows. Drive the integration of modern AI tools to accelerate team velocity and enhance user experience.
System-Wide Architecture: Design resilient systems considering latency, scale, downstream data consumers, and telemetry, ensuring data pipelines receive clean, actionable events.
Measure Business Impact: Own features after launch. Instrument key metrics, monitor performance dashboards, investigate post-release gaps, and iterate based on real user behavior and business outcomes.
Technical Excellence: Deep experience building, deploying, and maintaining production-grade applications in cloud-native environments.
Agentic Workflows & AI Native: Demonstrated experience leveraging AI-assisted workflows for rapid, high-quality code generation.
Product & Business Acumen: A track record of prioritizing user impact over technical cleverness and holding yourself accountable to business metrics (conversion, retention, operational cost).
Systems & Data Mindset: Strong understanding of event-driven architectures and how core transactional systems feed analytical data engineering pipelines.
Fullstack Development: Ability to work across the stack comfortably, fully owning a product or feature.
Frontend – React.js, Type Script, JavaScript (ES6+), and Expo (React Native) – Expertise with these is necessary.
Backend – Laravel (PHP) – Some experience is ideal, but not a necessity as long as you have demonstrable expertise building performant backend systems at scale.
Databases – PostgreSQL
Infrastructure – AWS
Collaboration & Communication: Exceptional communication skills. Clair is a fast-paced, highly collaborative environment. Whether on…
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