1 час назад
AI Product Manager
130 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Product Manager (Enterprise AI): Shaping an AI platform for professional services and software implementation by translating customer and field insights into product decisions, roadmaps, and measurable outcomes with an accent on enterprise workflows, product analytics, and cross-functional execution. Focus on discovering workflow pain points, prioritizing platform capabilities, instrumenting usage data, and expanding use cases across customer segments.
Location: New York, United States; on-site
Salary: $130,000–$230,000 per year, plus equity and bonus
Company
is building an AI layer for professional services and software implementation, automating documentation, discovery, and decision-making for enterprise services work.
What you will do
- Engage with customers to identify workflow pain points, unmet needs, and product opportunities.
- Define and prioritize the product roadmap with engineering and leadership.
- Work with deployment strategists to turn field insights into product improvements.
- Instrument product usage and analyze data to guide decisions and measure outcomes.
- Partner with go-to-market teams on positioning, demos, and launch readiness.
- Identify opportunities to expand the platform across artifact types, use cases, and customer segments.
Requirements
- 2–8+ years of product management experience, ideally in B2B or enterprise software.
- Strong written and verbal communication skills, including writing product specifications and presenting to C-suite executives.
- Comfort with technical concepts and engineering discussions without needing to write code.
- Experience using data to drive product decisions.
- Intellectual curiosity, customer focus, adaptability, comfort with ambiguity, and bias for action.
Nice to have
- Familiarity with Salesforce, ServiceNow, SAP, NetSuite, Workday, or enterprise implementation workflows.
- Background in consulting, professional services, or solutions engineering.
- Experience at an early-stage startup.
- Exposure to AI/ML products and their enterprise deployment.
Culture & Benefits
- Equity with significant upside for an early-stage team.
- Medical, dental, and vision coverage.
- Monthly wellness stipend.
- Unlimited PTO.
- Daily meal stipend and dinner coverage when working late.
- Weekly happy hours and team outings.
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