3 часа назад
Engineering Manager (AI/ML)
250 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager (AI/ML) (AI Products): Building LeanData’s AI and agent platform and production-ready LLM-powered features with an accent on evaluation quality, reliability, and scalable engineering leadership. Focus on designing evaluation infrastructure, balancing model quality, latency, and cost, and shipping alongside a small team of AI/ML and agent engineers.
Location: Hybrid in Santa Clara, California; required in-office work on Mondays and Wednesdays each week
Salary: $250,000–$300,000 annual base salary, plus equity
Company
helps fast-growing companies automate, simplify, and accelerate revenue through its go-to-market products.
What you will do
- Lead, hire, coach, and mentor the AI Products engineering team while raising its technical standards.
- Own the technical vision for the AI and agent platform, including evaluation infrastructure and reusable abstractions.
- Define AI and agent best practices and quality standards for non-deterministic AI and LLM systems.
- Stay hands-on for approximately half of the time by designing, reviewing, and shipping production code.
- Turn ambiguous go-to-market problems into production-ready AI features in partnership with product, design, and data.
- Own quality, reliability, delivery, and the model and LLM upgrade pipeline while balancing quality, latency, and cost.
Requirements
- 4+ years building and shipping ML or AI/LLM systems in production, including 3+ years managing or leading engineers.
- Experience building and scaling AI-powered product capabilities from 0 to 1 while remaining hands-on.
- Deep experience with evaluation and quality measurement for non-deterministic AI/LLM systems, including model selection and quality, latency, and cost tradeoffs.
- Strong, current Python skills with the ability to write and review production code.
- Applied AI experience, including building products on large language models and shaping an AI roadmap with product, design, and data.
- Ability to work from the Santa Clara office on Mondays and Wednesdays each week.
Nice to have
- Experience with Salesforce, data warehouses, or other large and messy enterprise data sources.
- Experience with Promptfoo, Braintrust, Langfuse, Inngest, or Temporal.
- Founder, founding-engineer, or early-engineer experience owning a product end to end.
Culture & Benefits
- Hybrid work with regular in-office collaboration in Santa Clara.
- Professional growth opportunities with compensation progression as skills and contributions develop.
- Equity in addition to base salary.
- Strategic, hands-on work across AI products, agent capabilities, and go-to-market automation.
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