8 месяцев назад
Director Of Product Management, AI/ML
177 000 - 284 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director of Product Management, AI/ML: Leading 's AI/ML product strategy and execution across their platform with an accent on safety, compliance, and enterprise value. Focus on scaling AI features, establishing responsible AI standards, and driving cross-functional execution.
Location: Remote (USA)
Salary: $177,000.00 - $284,000.00
Company
supports employees in working where they work best - either from an office or remotely from any location within their country of employment.
What you will do
- Define the multi-year AI/ML product vision and translate ambiguous opportunities into focused bets with clear success metrics.
- Incubate 0→1 and scale 1→N AI features: copilots/agents, document & spreadsheet intelligence, workflow automation, and data intelligence across surfaces.
- Establish responsible AI standards (safety, privacy, evaluations, bias testing, and model/feature gating) in partnership with Security, Legal, and Compliance.
- Build an experimentation and evaluation engine (A/B testing, offline evaluations, red-teaming, human-in-the-loop).
- Own portfolio outcomes and product economics, including pricing/packaging, usage metering, and inference COGS optimization.
- Drive cross-functional execution with Engineering/ML and Design; align with Sales, Customer Success, and Alliances on enablement and customer evidence.
Requirements
- 10+ years of product management experience, including 5+ years building AI/ML-powered products and 4+ years leading PM managers
- Demonstrated depth in modern AI (LLMs, retrieval, agents, evaluation, and safety) and enterprise SaaS at scale.
- Track record of shipping both 0→1 products and scalable platform features.
- Strong data fluency (analytics, SQL or equivalent, experimentation).
- Excellent stakeholder leadership and executive communication skills.
Nice to have
- Proven experience in regulated or compliance-sensitive domains; hands-on operationalization of Responsible AI.
- Expertise in pricing/packaging for AI add-ons or usage-based models.
- Public customer evidence (case studies, talks) and strong writing/storytelling
- Familiarity with cost/performance trade-offs in model selection, retrieval, latency, and observability
- Deep understanding of model cost-performance trade-offs, including retrieval strategies, latency optimization, and observability in production AI systems
Culture & Benefits
- A discretionary bonus typically paid annually
- Restricted Stock Units granted at time of hire
- 401(k) match and comprehensive employee benefits package
- supports employees in working where they work best - either from an office or remotely from any location within their country of employment.
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