Enterprise Product Manager (AI Solutions)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Enterprise Product Manager (AI Solutions): Identify, shape, and scale AI-enabled products and workflows for core enterprise functions, with an initial emphasis on Finance. Focus on translating operational pain points into practical AI solutions like copilots, agentic workflows, data products, and system automations, defining roadmaps, running structured experiments, and driving delivery across technical and non-technical teams.
Location: Based in San Francisco, CA. Hybrid work model of 3 days in the office per week. Relocation assistance offered to new employees.
Salary: $260K – $288K + equity
Company
AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity through safe deployment of AI systems.
What you will do
- Identify and prioritize AI-driven opportunities to automate finance operations and enterprise workflows for efficient processes, insights, and execution.
- Partner with stakeholders to translate processes, pain points, data dependencies, and metrics into product requirements and roadmaps.
- Define product requirements, develop prototypes, and lead pilots for AI workflows with measurable outcomes.
- Collaborate with engineering to integrate technologies like Codex and secure connectors for enterprise systems.
- Coordinate data onboarding across Oracle, Workday, Salesforce, Anaplan, Databricks, and vendors, aligning with IT, Security, Legal.
- Own delivery of complex initiatives, track adoption and impact via dashboards and feedback, and iterate on priorities.
Requirements
- 8+ years in product management, enterprise applications, business systems, or transformation with track record in complex environments
- Strong fluency in Finance processes (quote-to-cash, revenue, billing, accounting, treasury, FP&A)
- Experience with enterprise platforms like Oracle Fusion, Workday, Salesforce, Databricks, Anaplan
- Led delivery of AI, automation, or data products considering governance, usability, and adoption
- Structure ambiguous problems into roadmaps, pilots, and implementations
- Comfortable with APIs, integrations, data access, workflow orchestration; strong cross-functional communication
Culture & Benefits
- Hybrid work model with 3 office days per week in San Francisco
- Relocation assistance for new employees
- Equal opportunity employer committed to diversity and reasonable accommodations
- Background checks in accordance with applicable law, considering fair chance ordinances
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