1 час назад
Internal AI Operator (AI)
235 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Internal AI Operator (AI): Owns the internal agent stack, drives AI adoption across teams, and uses token-spend data to improve useful output and inference efficiency with an accent on agent harnesses, model routing, and hands-on enablement. Focus on building MCP servers, hooks, evals, and internal tooling while helping teams adopt coding agents and managing cost per useful token.
Location: San Francisco, CA; hybrid with onsite attendance 3+ days per week. Must be authorized to work in the United States. Visa sponsorship is not available.
Salary: $235,000–$260,000 USD/year. Competitive equity is also offered.
Company
provides an API that converts web pages into clean, LLM-ready markdown or structured data for AI agents.
What you will do
- Own the internal AI stack, including agent harnesses, configurations, shared skills, and model routing.
- Roll out coding agents and AI workflows across teams, starting with the revenue organization.
- Pair with employees to build practical agent workflows and drive sustained adoption.
- Analyze token-spend data, improve cost per useful token, and optimize model selection, routing, caching, and workflows.
- Build missing infrastructure in code, including MCP servers, hooks, evaluations, and internal tooling.
- Track changes in Claude Code, Cursor, Codex, and emerging AI development tools.
Requirements
- 4+ years of relevant experience as an engineer or highly technical operator.
- Experience rolling out coding agents or AI tooling across a team and demonstrating adoption beyond a pilot.
- Strong hands-on experience with Claude Code, Cursor, Codex, or comparable AI development tools.
- Ability to write code and build missing harness functionality, MCP servers, hooks, evaluations, and internal tools.
- Experience using spend or usage data to improve inference efficiency and output.
- Strong communication and emotional intelligence, with the ability to teach and drive behavioral change through hands-on pairing.
Nice to have
- Background as a founder, early startup engineer, or leader of a difficult tooling change.
- Experience making AI adoption stick across teams with different workflows and levels of technical familiarity.
Culture & Benefits
- Fast-paced startup environment with substantial individual ownership and urgency.
- Competitive equity, 15 days of mandatory PTO with additional time available, and 12 weeks of paid parental leave.
- $100 monthly wellness stipend and up to $1,000 per year for professional learning and development.
- Medical, dental, and vision coverage, plus life, disability, mental-health, fertility, and family-building benefits.
- 401(k), HSA, FSA, commuter benefits, and supplemental insurance options.
- Team offsites, a three-month paid sabbatical after four years, and San Francisco HQ perks including meals, snacks, drinks, and an e-bike loaner.
Hiring process
- Application review with a resume and a link to something built or rolled out.
- Intro chat, technical chat, founder chat, and a paid approximately 40-hour work trial.
- Decision is made quickly after the work trial.
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