10 часов назад
Product Manager (AI Platform)
177 650 - 209 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager (AI Platform) (LLM/data infrastructure): Owns AI platform systems that transform unstructured case materials into accurate, structured source-of-truth data with an accent on scalable extraction, evaluation, and backend infrastructure. Focus on defining entity-quality metrics, building reliable pipelines and APIs with ML and backend engineers, and managing model performance, annotation strategy, and infrastructure scaling.
Location: Hybrid, with at least 3 days per week in the San Francisco or Toronto office
Compensation: San Francisco $177,650–$209,000 plus equity; Toronto CA$157,250–CA$185,000 plus equity
Company
is a vertical SaaS company using technology and AI to help personal injury law firms and victims achieve faster settlements and better outcomes.
What you will do
- Own the roadmap for AI Platform capabilities, including RAG services, text and image extraction, analysis services, model evaluation and deployment tools.
- Partner with ML and backend engineers to build scalable, reliable and cost-effective platform systems.
- Define and monitor entity-quality, pipeline-performance, operational and cost metrics.
- Work with product managers and downstream teams to identify data-quality and coverage gaps and prioritize reusable platform capabilities.
- Make strategic decisions on model performance, vendor selection, annotation strategy and infrastructure scaling.
- Guide integration with continuous inference systems as ML approaches evolve.
Requirements
- 5+ years of product management experience, including experience at a high-growth Series B–E startup.
- Experience building LLM/LMM-powered products or data infrastructure and understanding AI extraction and structured-data systems end to end.
- Technical fluency in discussions involving ML models, backend systems, data pipelines and system design.
- Experience working in backend-heavy environments with internal teams and downstream product surfaces as users.
- Analytical approach to precision, recall, entity accuracy, coverage, latency and throughput metrics.
- Ability to work hybrid from the San Francisco or Toronto office at least 3 days per week.
Nice to have
- Experience with RAG, agentic systems or LLM/LMM optimization.
- Experience building internal platforms or tools for product teams.
- B2B SaaS experience, especially with AI or data products.
Culture & Benefits
- Medical, dental and vision insurance for employees and families.
- Life, accident and critical illness insurance options.
- Flexible paid time off, sick leave, short- and long-term disability and paid parental leave.
- US employees receive 10 observed US holidays and access to a 401(k); Canadian employees receive provincial statutory holidays and an RRSP.
- Home office stipend and local in-person meet-up program.
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