Product Engineer (Software Engineer)

Clera•San Francisco, CA

3d•$120,000 - $200,000•Onsite

About The Position

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.

Requirements

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.
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 Haves

2–9 years of relevant software engineering experience.
Background in fintech, payments, or financial services.

Responsibilities

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.