Build financial products that help credit union members move forward.
Meridianlink Coach powers adverse action notices, warm-decline journeys, credit monitoring, and the portals used by members and credit union teams. Our products handle real financial data and high-stakes moments, so thoughtful engineering matters.
How we work
AI agents are part of our engineering workflow, not an experiment. They handle meaningful implementation work; engineers set direction, review the output, and own what ships. You will use our agents, improve them, and help build what comes next.
What you'll do
- Own member- and credit-union-facing features from idea through production, planning pragmatic solutions for rising traffic and data volume.
- Build across our TypeScript stack: React 19, React Router 7, Tailwind CSS, Hono, and Drizzle/Postgres, with AWS infrastructure managed through SST/Pulumi across Lambda, SQS, EventBridge, and S3. Experience with Terraform, AWS CDK, or similar infrastructure-as-code tools transfers well.
- Turn product needs into simple, reliable experiences and integrations.
- Monitor production, investigate issues, and improve what you ship.
- Partner with design, customers, and stakeholders to make practical product decisions.
What you bring
- 5+ years building, scaling, and running production software.
- Strong full-stack skills, with depth in modern front-end development and typed backend systems.
- Experience building reliable products with React and relational data, including integrations with third-party and public APIs such as OpenAI or Anthropic Claude.
- Current, hands-on experience using AI coding tools and reviewing their output.
- Strong product judgment, clear written communication, and a bias toward simple solutions.
- The autonomy to own outcomes and the judgment to bring others in when it matters.
We use Bun, Vitest, and Playwright for development and testing; exact tool overlap matters less than strong product engineering fundamentals.
If you want broad ownership, contact with users, and a chance to shape AI-native product engineering, we'd love to hear from you.