Build end-to-end fintech features that optimize taxes, bridge paychecks, and build credit for everyday consumers. Collaborate with product, engineering, and business teams to ship high-impact work in a fast-paced environment. Requires hands-on Go experience on GCP, consumer product background, and strong CS fundamentals.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
About The Role
Join a Series A fintech startup on a mission to help everyday consumers better manage their financial future. As a Product Engineer, you'll build features end-to-end that optimize taxes, bridge paychecks, and build credit — directly improving the financial wellbeing of a growing base of paying users. You'll collaborate closely with product, engineering, and business leaders to ship high-impact work in a fast-paced, data-driven environment.
What You'll Do
- Build product features end-to-end, including domain models, business logic, and API integrations.
- Drive deployment and iteration through data-driven, incremental releases toward bold product milestones.
- Leverage robust data pipelines and analytics infrastructure — using SQL and other tools — to evaluate product and system performance.
- Debug complex state machines in an event-driven backend using pub/sub to ensure a seamless consumer experience.
- Ship to production daily via a rapid CI/CD process, owning implementations end-to-end and responding to production incidents as needed.
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- Required: Hands-on experience with Go (Golang) deployed on Google Cloud Platform (GCP).
- Required: 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.
- Experience with relational databases (PostgreSQL or 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.
- Strong CS fundamentals.
- Excellent cross-functional communication skills, with the ability to translate technical concepts for non-technical stakeholders.
- Startup experience preferred; open to candidates from larger tech companies with the right mindset.
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- Salary range: $120,000 – $200,000 USD annually, depending on experience.
- Visa sponsorship is available.
This is an on-site role based in San Francisco, CA. Candidates must be willing to work from the office.
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