9 дней назад
Talent Engineer (AI)
111 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Talent Engineer (AI): Building integrations, governed talent data infrastructure, and AI-powered agentic workflows across the hiring lifecycle with an accent on system automation, permissions, and talent intelligence. Focus on connecting Workday, Greenhouse, Gem, and BrightHire, designing LLM-powered tools, and measuring sourcing and offer effectiveness through structured experimentation.
Location: Austin, Chicago, New York City, Salt Lake City, or San Francisco, United States
Annual salary: $111,000–$175,000 USD
Company
develops AI-powered revenue intelligence products that help companies understand teams and customers, automate sales workflows, and improve deal execution.
What you will do
- Build a 0-to-1 talent engineering function centered on automation, integrations, and AI-powered workflows.
- Integrate Workday, Greenhouse, Gem, and BrightHire into a governed talent data layer.
- Develop agentic solutions for pipeline visibility, workflow bottlenecks, candidate rediscovery, interview quality, offer risk, and recruiter capacity.
- Build conversational tools that allow talent leaders and hiring managers to self-serve recruiting data.
- Design experiments for outbound sourcing and offer effectiveness, monitoring response, interest, and acceptance rates.
- Partner with People Analytics, HRIS, IT, and the central AI development team on governance, architecture, and build-versus-buy decisions.
Requirements
- Production experience integrating external systems through APIs, OAuth, webhooks, rate-limit handling, and error management.
- Strong scripting or backend skills in Python or TypeScript/Node.
- Proficiency with SQL and querying data across multiple systems.
- Hands-on experience with LLM APIs and tool or function-calling patterns.
- Understanding of permissions and access-control design.
- Experience designing and analyzing structured A/B or multivariate experiments, plus the ability to work effectively in an ambiguous 0-to-1 environment.
Nice to have
- Experience with MCP (Model Context Protocol).
- Background in analytics engineering, automation engineering, or solutions engineering.
- Familiarity with Greenhouse, Workday, Gem, BrightHire, or similar recruiting systems.
- Recruiting or Talent Acquisition experience.
Culture & Benefits
- Medical, dental, and vision plans for employees and families.
- Wellbeing fund, mental health benefits, and education and learning stipend.
- Flexible vacation time, paid parental leave, and quarterly company recharge days.
- 401(k) program and work-from-home stipend.
- Technical mentorship and architectural review through the central AI development team.
Hiring process
- Prepare to present two or three systems built, including the problem, design, and measurable results.
- Diagrams, repositories, and before-and-after metrics are valued in the evaluation.
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