6 дней назад
Tech Lead Manager (AI Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Tech Lead Manager (AI Platform) (Applied AI/ML): Building matching, ranking, retrieval, and agentic systems for an AI recruiting marketplace with an accent on model quality, automation, trust and safety, and production reliability. Focus on leading applied AI and ML engineers while designing data and models, solving cold-start and evaluation problems, and shipping production code across the quality, cost, and latency frontier.
Location: San Francisco, United States; on-site
Company
is an AI recruiting marketplace connecting companies with specialized recruiters and AI agents to fill roles faster and more accurately.
What you will do
- Lead, hire, coach, and level a pod of applied AI and ML engineers.
- Own matching, ranking, retrieval, personalization, and agentic systems at the code level.
- Design data and labeling strategies, features, embeddings, model selection, training, and fine-tuning.
- Solve difficult modeling problems such as cold starts, ranking plateaus, and offline-versus-production evaluation gaps.
- Build evaluation frameworks for quality, reliability, and business impact, including trust and safety guardrails.
- Translate ambiguous business goals into quarterly plans and ship improvements across quality, cost, and latency.
Requirements
- Staff-level individual-contributor depth in machine learning or applied AI.
- Production experience with ML or LLM systems used at scale, including retrieval, ranking, recommendation, or agentic workflows.
- At least 1 year of managing or formally tech-leading engineers, or 4+ years setting technical direction across multiple teams for the Technical Director path.
- Ability to evaluate model quality against business outcomes and distinguish real improvements from noise.
- Strong data fluency, including writing SQL and validating experiment metrics.
- Willingness to write production code every week and document operating norms, decisions, and postmortems.
Culture & Benefits
- Small autonomous teams with high judgment expectations.
- Promotion based on judgment rather than lines of code.
- Direct ownership of AI systems supporting recruiters, hiring managers, and businesses.
- Opportunity to shape the technical direction of AI while the organization is still scaling.
- Work in an on-site engineering environment in San Francisco.
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