Senior Product Manager, AI & Analytics

Job not on LinkedIn

🔥 0 minutes ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

✅ Product Manager

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Fortive

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2016

🏥 Healthcare

🏭 Manufacturing

📦 Logistics

💰 Post-IPO Equity on 2020-03

Healthcare • Manufacturing • Logistics

Fortive is a global industrial technology company that specializes in delivering advanced healthcare solutions, intelligent operating solutions, and precision technologies. With a team of 18,000 employees, Fortive works on solving tough technical challenges, empowering safer, smarter, and more efficient industrial operations. The company emphasizes sustainability, integrity, and continuous improvement, striving for a future that's stronger, safer, and smarter. Fortive has been recognized as one of America's Most Responsible Companies, demonstrating its commitment to positive social and environmental impact.

📋 Description

• 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