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Senior Product Manager, AI Products and Tools
Не указаноПолная занятостьУправление продуктомLocation IntelligenceEnterprise Software
Own AI products and internal agents from problem discovery through production. Define priorities and success measures, build working prototypes, and partner with engineering and company teams to deliver useful, reliable tools.
Обязанности
- Own the roadmap for an area of AI products and connect priorities to measurable user outcomes.
- Conduct discovery with customers and internal teams, identify problems, and prioritize opportunities.
- Define evaluation criteria, quality thresholds, and release gates for AI features; monitor quality after launch.
- Set go/no-go criteria for exploratory work and stop efforts that do not show value.
- Build and ship agents, tools, and prototypes using current models and agentic coding tools, independently and with engineering.
- Take prototypes into production with engineering, ensuring real users, data, and clear ownership.
- Help redesign the development lifecycle around AI agents in partnership with Product and R&D leadership.
- Drive adoption of agents and tools across teams while maintaining quality and security safeguards.
- Contribute to measures of AI transformation progress and share practices through teaching, pairing, and documentation.
Требования
- At least 5 years of product management experience on technical products, with a record of shipping products people use.
- Professional engineering experience, or a technical degree combined with substantial hands-on building experience; able to read code and contribute to architecture discussions.
- Daily hands-on use of current AI models and agentic coding tools to build working tools, agents, or prototypes.
- Shipped at least one production-grade AI capability using LLMs, machine learning, or computer vision, with demonstrable business impact and defined quality measures.
- Experience across multiple disciplines and ownership of problems spanning domains, teams, or functions.
- Strong analytical and creative judgment, including the ability to assess evaluation methods and identify worthwhile product opportunities.
- Product discovery, prioritization, requirements writing, and metrics experience; comfortable using SQL, notebooks, or BI tools.
- Excellent written and spoken English.
Будет плюсом
- Background as an engineer, data scientist, or technical founder.
- Experience with agent frameworks, MCP, evaluation methods, multi-agent workflows, or coding agents in CI/CD.
- Experience in developer experience, internal platforms, engineering productivity, or internal tools.
- Startup or high-growth experience, especially introducing AI-native practices.