4 дня назад
Director of Engineering, IAEF (AI Evaluation)
215 000 - 315 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Director of Engineering, IAEF (AI Evaluation): Leading the architecture, delivery, and engineering organization for an AI evaluation platform with an accent on DTAP workflows, reusable components, and production evaluation systems. Focus on building structured evaluation history, integrating red-teaming and machine-learning observability capabilities, and leading security, compliance, fundraising, and developer ecosystem initiatives.
Location: Remote-first, based in the US or EU; New York or the San Francisco Bay Area is strongly preferred for quarterly in-person meetings. Travel is approximately 15%.
Salary: $215,000–$315,000 annually, commensurate with experience.
Company
supports education, digital equity, community leadership, and opportunity through mission-driven projects, including the fiscally sponsored Independent AI Evaluation Foundation.
What you will do
- Own the Workbench Design–Test–Analyze–Publish workflow, Component Contract, Artifacts API, component registry, and canvas interface.
- Build persistent, structured evaluation history and integrate red-teaming, administrative dashboard, and human-in-the-loop data-capture systems.
- Lead engineering planning, hiring, development, retention, code review, on-call, incident response, and roadmap practices.
- Translate human-in-the-loop red teaming, automated benchmarks, LLM-as-judge systems, and drift detection into a reusable evaluation platform.
- Lead vendor risk reviews and coordinate security, compliance, data, intellectual property, and nonprofit/PBC resource separation.
- Represent IAEF with customers, partners, funders, and press, and lead technical fundraising and developer-relations materials.
Requirements
- 12+ years of software engineering experience, including at least four years in senior technical leadership.
- Experience building and operating plugin, extension, or component-based platforms and production AI evaluation, red-teaming, machine-learning observability, or model-testing systems.
- Experience hiring and retaining senior engineers in a distributed team, including an applied machine-learning or agentic-systems specialist.
- Ability to design reusable platform components and work with human-in-the-loop transcripts, benchmark scores, and LLM red-teaming results.
- Ability to communicate technical decisions to security leaders, funders, investors, customers, and partners.
- Must be based in the US or EU and able to travel approximately 15%; quarterly in-person meetings are expected, with New York or the San Francisco Bay Area strongly preferred.
Nice to have
- Prior CTO, VP Engineering, or founding-engineer experience at an early-stage, institutionally funded company.
- Experience enabling external developers to build on a platform and working with academic or civil-society evaluation partners.
- Experience implementing ISO 42001, the NIST AI Risk Management Framework, or SOC 2 requirements.
Culture & Benefits
- Full-time remote-first work with virtual interviews and distributed engineering collaboration.
- Health, dental, and vision insurance, with employee premiums fully covered and dependent premiums 85% covered.
- HSA employer contributions, FSA, disability, life, accidental death and dismemberment, and wellness benefits.
- 401(k) plan with a 6% employer match.
- Paid time off, 16 paid holidays, bereavement leave, and paid parental leave.
Hiring process
- Submit a resume and a cover letter outlining qualifications.
- Interviews are conducted virtually.
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