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Product Engineer (Software Engineer)

Clera

Company websitegetclera.com (Clera, opens in new tab)

Base salary $120K  to $200K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since

About this job

About the Role

A well-funded fintech startup is looking for a Product Engineer to help build financial products that optimize taxes, bridge paychecks, and build credit for consumers. You'll collaborate closely with product, engineering, and business leaders to ship high-impact features 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.

  • Practice a data-driven, incremental approach to product development, shipping toward bold milestones.

  • Leverage robust data pipelines and analytics infrastructure — using SQL and other analysis tools — to evaluate product and system performance.

  • Test and debug complex state machines in an event-driven, pub/sub backend to ensure a seamless user experience.

  • Ship to production daily via a rapid CI/CD process, owning implementations end-to-end and responding to production incidents as needed.

What We're Looking For

Must-haves:

  • Experience with Go (Golang) deployed on GCP.

  • Direct consumer product experience — you've built 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/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.

  • Strong CS fundamentals.

Nice to have:

  • Background at a startup (preferred over Big Tech, though Big Tech experience is welcome).

  • Experience in fintech or financial services.

Compensation & Benefits

  • Salary: $120,000 – $200,000 USD annually, depending on experience.

  • Visa sponsorship is available.

Location

This is an on-site role based in San Francisco, CA. Candidates should be prepared to work from the office.

Source: Clera on Ashby · View original posting (opens in new tab)

This range next to 6 other live Clera roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Clera roles with the nearest advertised base floor
RolePublished base
Product Engineer (Software Engineer) (this listing)$120K - $200K
Founding AI Engineer$120K - $180K
Software Engineer - Full Stack$120K - $150K
AI/ML Engineer$120K - $200K
Founding Engineer$120K - $200K
Founding Engineer$120K - $250K
Product Engineer (Mid-Level)$120K - $200K

Same $100K to $400K scale as every card. All Clera roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-06-03
Where this pay comes from

Location as the employer wrote it: San Francisco

- Salary: $120,000 – $200,000 USD annually, depending on experience.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.