Product Manager shaping strategy, roadmap, and experiments for a profitable marketplace platform. Partnering with founders, engineering, and design to improve user outcomes.
About the role
- Senior Product Manager shaping AI and analytics capabilities for Intelex, a global EHSQ software provider. Owning roadmap, discovery, delivery, metrics, and enterprise AI strategy.
Responsibilities
- Own the product vision, roadmap, and delivery for AI and analytics capabilities across the Intelex platform
- Define and maintain the AI and analytics product roadmap
- Translate business objectives, market signals, and customer research into a prioritized backlog with goals, success metrics, and release milestones
- Develop and communicate product vision for LLMs, Auto-Structure, AI Lens, and agentic workflows in EHSQ software
- Align AI product investments with company strategy and Fortive Business System priorities
- Conduct customer discovery through interviews, advisory councils, sales, and customer success collaboration
- Analyze usage data, NPS feedback, and support signals to identify friction points and validate hypotheses
- Track the competitive landscape and identify positioning opportunities
- Partner with marketing on positioning, messaging, and analyst relations
- Own end-to-end delivery from PRDs and acceptance criteria through sprint planning, launch, and post-release iteration
- Collaborate with engineering, AI Solution Architects, and UX designers on build-vs-buy-vs-partner decisions
- Define instrumentation and analytics strategies; monitor adoption, quality, and outcome metrics
- Manage cross-squad dependencies and delivery risks
- Support customer onboarding and enablement through configuration guides, training materials, and rollout playbooks
- Enable sales, presales, and customer success teams with positioning, demo narratives, and feature deep-dives
- Present roadmap updates, business cases, and launch readiness reviews to senior leadership
- Represent customer needs in architecture and governance reviews
- Contribute to external AI messaging, trust and governance documentation, pricing strategy, and partner communications
- Report to the VP of Data Analytics, Architecture and AI
Requirements
- Bachelor’s degree in Business, Computer Science, Information Systems, Engineering, Data Science, or a related field
- 5+ years of product management experience, with at least 2 years focused on AI, data, or analytics products in a B2B SaaS environment
- Demonstrated track record of taking AI or data-driven features from discovery through launch and measuring business impact
- Experience working directly with data science, ML engineering, or AI architecture teams
- Strong command of agile methodologies and experience managing a backlog across multiple concurrent workstreams
- Exceptional communication and analytical skills
- Deep familiarity with enterprise SaaS product management, PRD writing, agile delivery, roadmap governance, and go-to-market execution
- Working knowledge of LLMs, RAG, structured data extraction, classification models, and agentic workflows
- Experience defining and tracking analytics product metrics
- Familiarity with cloud data stacks such as Snowflake, AWS, or Azure and BI/analytics tooling such as QuickSight or Sisense
- Exposure to AI governance, data privacy, and responsible AI principles
- Satisfactory Criminal Background Check and Public Safety Verification
- MBA or Master’s degree, product management certifications, or AI/ML fundamentals certifications are preferred or a plus
Benefits
- Equal opportunity employer
- Reasonable accommodations for applicants and employees with disabilities
- Learning and growth opportunities
- Inclusive culture
- Continuous improvement and innovation culture
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