Sr Product Manager, AI & Analytics

Intelex; United States; On-site; USD 129,000 - 181,000; Full time

Job summary

Intelex is seeking a Senior Product Manager for AI and analytics to drive the product strategy and end-to-end delivery of innovative features. You will translate market signals into a prioritized backlog and work with cross-functional teams to ensure impactful outcomes for EHSQ professionals.

The role requires 5+ years in AI/data/product management within B2B SaaS, strong collaboration with data science and engineering, and a focus on building trustworthy, scalable enterprise solutions.

Qualifications

• Exceptional communicator—translate ambiguous AI concepts into crisp business value for executives, customers, and engineers alike.
• Customer-obsessed with a bias for discovery before solutioning; able to structure ambiguity into actionable plans.
• Highly collaborative and cross-functional—builds trust with engineering, design, data, sales, and services partners.
• Analytically rigorous: uses data to drive prioritization, measure outcomes, and tell compelling product stories.
• Strong instincts for what makes AI features trustworthy, useful, and adoptable in enterprise software.

Responsibilities

• Own end-to-end delivery of AI and analytics features—from PRD writing to launch and post-release iteration.
• Collaborate with engineering leads, AI architects, and UX designers on build-vs-buy-vs-partner decisions.
• Define instrumentation and analytics strategies; monitor adoption, quality, and outcomes post-launch.
• Manage dependencies across squads and surface risks to delivery timelines.
• Support onboarding and enablement by defining configuration guides and rollout playbooks for AI capabilities.

Skills

Communicator

Customer focus

Cross-functional

Analytical mindset

AI product mindset

Self-directed

External representation

Education

Bachelor's degree

MBA or Master’s in a relevant field

Tools

AI/ML concepts

Cloud data stacks

BI tools (QuickSight/Sisense)

Job description

Responsibilities and Deliverables

Product Strategy & Roadmap

• Define and maintain the product roadmap for AI and analytics capabilities, balancing near‑term customer value with long‑term platform differentiation.
• Translate business objectives, market signals, and customer research into a prioritized backlog with clear goals, success metrics, and release milestones.
• Develop and communicate a compelling product vision for how AI—including LLMs, Auto‑Structure, AI Lens, and agentic workflows—will transform how EHSQ professionals work.
• Partner with the VP of Data Analytics, Architecture & AI to align AI product investments with company strategy and Fortive Business System priorities.
• Identify opportunities to leverage Intelex’s unique cross‑industry EHSQ data as a strategic moat, and build products that capitalize on it.

Customer & Market Discovery

• Conduct ongoing customer discovery—through interviews, advisory councils, and collaboration with sales and customer success—to deeply understand EHSQ workflows and unmet needs.
• Analyze usage data, NPS feedback, and support signals to identify friction points and validate hypotheses before committing to development.
• Track the competitive landscape across EHSQ software, EHS AI point solutions, and horizontal AI platforms to surface gaps and positioning opportunities.
• Partner with marketing on positioning, messaging, and analyst relations (e.g., Verdantix, Gartner) for AI and analytics features.

Delivery & Execution

• Own the end‑to‑end delivery of AI and analytics features—from writing clear PRDs and acceptance criteria through sprint planning, launch, and post‑release iteration.
• Collaborate closely with engineering leads, AI Solution Architects, and UX designers to make sound build‑vs‑buy‑vs‑partner decisions and ensure technical feasibility.
• Define instrumentation and analytics strategies so new AI features are measurable from day one; monitor adoption, quality, and outcome metrics post‑launch.
• Manage dependencies across squads and proactively surface risks to delivery timelines.
• Support customer onboarding and enablement by working with the services team to define configuration guides, training materials, and rollout playbooks for AI capabilities.

Stakeholder Engagement & Enablement

• Serve as the internal product authority on AI and analytics—enabling sales, presales, and customer success teams with competitive positioning, demo narratives, and feature deep‑dives.
• Present roadmap updates, business cases, and launch readiness reviews to senior leadership, including the CPTO and executive team.
• Represent the voice of the customer in architecture and governance reviews, ensuring AI design decisions preserve trust, explainability, and regulatory compliance.
• Contribute to Intelex’s external AI narrative—including customer‑facing trust and governance documentation, AI pricing strategy, and partner/ecosystem communications.

Reports to the VP of Data Analytics, Architecture and AI

Qualifications

Skills & Work Traits

• Exceptional communicator—able to translate ambiguous AI concepts into crisp business value for executives, customers, and engineers alike.
• Customer‑obsessed with a bias for discovery before solutioning; comfortable sitting with ambiguity and structuring it into actionable plans.
• Highly collaborative and cross‑functional—builds trust quickly with engineering, design, data, sales, and services partners.
• Analytically rigorous: uses data to drive prioritization decisions, measure outcomes, and tell compelling product stories.
• Strong product instincts for what makes AI features trustworthy, useful, and adoptable in enterprise software contexts.
• Self‑directed and proactive, with the organizational discipline to manage multiple roadmap threads simultaneously and keep stakeholders aligned.
• Comfortable representing the company externally—with customers, analysts, and partners—on AI product strategy and roadmap.
• Leader who embraces the Fortive Business System and applies continuous improvement thinking to product processes.

Product & Domain Competencies

• Deep familiarity with enterprise SaaS product management, including PRD writing, agile delivery, roadmap governance, and go‑to‑market execution.
• Working knowledge of AI/ML product concepts—including LLMs, RAG, structured data extraction, classification models, and agentic workflows—sufficient to engage credibly with engineering and make sound trade‑off decisions.
• Experience defining and tracking analytics product metrics (e.g., feature adoption, model accuracy, time‑to‑insight) and working with data teams to instrument and monitor them.
• Familiarity with cloud data stacks (e.g., Snowflake, AWS, Azure) and BI/analytics tooling (e.g., QuickSight, Sisense, or equivalent) at a conceptual level.
• Exposure to AI governance, data privacy, and responsible AI principles as they apply to enterprise software products.
• Experience in or passion for EHS, quality, sustainability, or regulated‑industry verticals is a strong asset.

Experience

Required:

• 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 their business impact.
• Experience working directly with data science, ML engineering, or AI architecture teams and translating technical constraints into clear product decisions.
• Strong command of agile methodologies and experience managing a backlog across multiple concurrent workstreams.

Preferred:

• 7+ years of product management experience, including at least one senior or lead PM role.
• Experience in enterprise EHSQ, ERP, compliance, or related regulated‑industry software.
• Background in or exposure to data product management, including working with structured and unstructured data transformation pipelines.
• Familiarity with AI platform economics, usage‑based pricing models, or AI add‑on packaging in enterprise SaaS.

Education

Required:

• Bachelor’s degree in Business, Computer Science, Information Systems, Engineering, Data Science, or a related field.

Preferred:

• MBA or Master’s degree in a relevant discipline. Product management certifications (e.g., Pragmatic Institute, AIPMM) or AI/ML fundamentals certifications are a plus.

Other Requirements

Please note that this role requires a satisfactory Criminal Background Check and Public Safety Verification.

We are an equal opportunity employer and value diversity at our company.

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Fortive Corporation Overview

Fortive's essential technology makes the world safer and more productive. We accelerate transformation in high‑impact fields like workplace safety, build environments, and healthcare.

We are a global industrial technology innovator with a startup spirit. Our forward‑looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission‑critical solutions. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care.

We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.

At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference.

At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.

At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating.

Fortive: For you, for us, for growth.

About Intelex

Since 1992, Intelex Technologies, ULC. is a global leader in the development and support of software solutions for Environment, Health, Safety and Quality (EHSQ) programs. Our scalable, web‑based software provides clients with unprecedented flexibility in managing, tracking and reporting on essential corporate information. Intelex software easily integrates with common ERP systems like SAP and PeopleSoft creating a seamless solution for enterprise‑wide information management. Intelex’s friendly, knowledgeable staff ensures our almost 1400 clients and over 3.5 million users from companies across the globe get the most out of our groundbreaking, user‑friendly software solutions. Visit www.intelex.com to learn more.

We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at [e-mail].

Bonus or Equity

This position is also eligible for bonus as part of the total compensation package.

Pay Range

The salary range for this position (in local currency) is 128,700.00 - 181,400.00

Our use of recruitment matching AI technology

We use an AI-powered tool, provided by Eightfold AI, Inc. in our recruitment process to help us in providing you the ability to view the most relevant jobs that are matched to your skills and experience. This AI tool also assists our recruiters in assessing and evaluating your job application. This tool is a matching model based on factors such as the skills specified in the job description and specific selection criteria our recruitment teams have configured. We do not make decisions about Applicants solely based on the results of the matching model.