Product Engineer (Software Engineer)
Role summary by JobGrid
Product Engineer (Software Engineer) at clera: San Francisco, United States; On-site; Mid; IT; Back End Engineer. This listing is part of JobGrid's Software engineer jobs from public company career pages. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: San Francisco, United States, On-site
- Role classification: IT, Back End Engineer, Mid
- Source freshness: checked by JobGrid on 2026-06-09.
- Application path: candidates continue to the employer application page with non-personal referral tags.
About the Role
As a Product Engineer, you will help build features that optimize financial outcomes, bridge income gaps, and build credit. You'll collaborate with product, engineering, and business leaders to deliver high-impact work for a growing base of paying users, directly contributing to their financial wellbeing.
What You'll Do
Build product features end-to-end, including domain models, business logic, and API integrations.
Drive deployment and iteration with data-driven, incremental releases toward bold milestones.
Leverage robust data pipelines and analytics to evaluate product and system performance using SQL and analytics tools.
Debug complex state machines in an event-driven backend using pub/sub to ensure a seamless user experience.
Ship to production through a rapid CI/CD process, owning implementations end-to-end and addressing production incidents as needed.
What We're Looking For
Proficiency in designing and consuming RESTful APIs with authentication/authorization patterns and rate limiting.
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.
Direct consumer product experience (developed products for consumers, not just B2B).
Experience with event-driven architectures and message queues (e.g., Kafka, Pub/Sub) for scalable data pipelines.
Excellent cross-functional communication and collaboration skills, with the ability to translate technical concepts for non-technical stakeholders.
Experience with Go (golang) deployed on GCP.
Strong computer science fundamentals.
Nice to have: Background from Big Tech or startup environments.