Product Engineer (Software Engineer)
Clera · San Francisco, CA · Yesterday
On-siteEngineering$120k–$200k/yrFull-time
About The Role
Join a fast-growing consumer fintech company building financial products that help everyday people optimize taxes, bridge paychecks, and build credit — all in one app. As a Product Engineer, you'll work end-to-end across the stack, collaborating closely with product, engineering, and business leaders to ship high-impact features for a growing base of paying users who depend on the platform for their financial wellbeing. This is a hands-on, ownership-heavy role best suited for engineers who thrive in fast-moving startup environments and care deeply about the real-world impact of their work on consumers.
What You'll Do
- Build product features end-to-end: domain models, business logic, and API integrations that make the product just work for customers.
- Drive deployment and iteration using a dynamic, data-driven approach — shipping well-engineered, incremental releases toward bold product milestones.
- Leverage robust data pipelines and analytics infrastructure; regularly use SQL and analysis tools to evaluate product and system performance.
- Debug complex state machines in an event-driven backend that makes heavy use of pub/sub, ensuring a seamless experience for all users.
- Ship to production daily through a rapid CI/CD process, owning implementations end-to-end and responding to production incidents as needed.
What We're Looking For
- Must-haves (dealbreakers): Hands-on experience with Go (Golang) deployed on Google Cloud Platform (GCP). Direct consumer product experience — you've built products for end-consumers, not exclusively B2B.
- Required skills & experience: Proficiency in designing and consuming RESTful APIs, including authentication/authorization patterns and rate limiting. Strong experience with relational databases (PostgreSQL / MySQL), including data modeling and query optimization. Hands-on experience with CI/CD pipelines, version control, automated testing, and code review processes. Experience with event-driven architectures and message queues (e.g., Kafka, Pub/Sub) for scalable data pipelines. Excellent cross-functional communication skills, with the ability to translate technical concepts for non-technical stakeholders. Startup background preferred; open to candidates from Big Tech who are genuinely excited about the startup environment. Strong computer science fundamentals.
- Nice to have: 2–9 years of relevant software engineering experience. Background in fintech, payments, or financial services.