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Software Engineer - Developer Experience

Datacurve - San Francisco | OnSite

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026
Work mode
Onsite From the posting source checked Jun 20, 2026
In-office days
5 days From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer - Developer Experience San Francisco | OnSite We're building a gamified developer platform where tens of thousands of engineers create high‑fidelity datasets that push LLM frontiers. This role owns the technical lifecycle of data pipelines-from defining new data formats with partner labs to shipping the tooling, environments, docs, and QA that make those formats real at scale. WHAT YOU'LL DO - Own projects end-to-end, from initial prototyping to ongoing maintenance, bug fixing, and iteration based on feedback. - Own developer experience pipelines end‑to‑end: Prototype tooling for collecting new data formats → productionize workflow → iterate from developer experience - Champion DX: Create clear, concise guidelines and documentation to empower our data contributors and ensure high-quality inputs for your projects. - Quality & governance: Develop and manage the quality standards for your projects, which includes training and aligning content reviewers to ensure data consistency and accuracy. Implement automated checks, eval harnesses, reviewer workflows, and data quality bars; be hands on and in the weeds to align with reviewers on standards. - Maintain & iterate: Monitor, debug, and continuously improve reliability, latency, and contributor success rates. WHAT YOU'LL DO SOMETIMES - Define Frontier data formats: Co‑author specs/RFCs with frontier lab researchers; design schemas, metadata, and versioning for new task/trajectory formats. - Build developer tooling & environments: Ship tooling, sandboxes, CLIs/SDKs, and capture/instrumentation to make contribution flows fast and safe. YOU'LL SUCCEED HERE IF YOU HAVE - Excellent written communication skills, with a proven ability to explain complex concepts to a

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