The Senior Product Manager, AI Portfolio, Product & Value (Focus: Commercial) owns AI products for Sensata's commercial organization, starting with Sales and Revenue Operations and extending to Pricing, Marketing and Commercial Finance. Working directly with sellers, account managers, pricing and commercial finance teams, the role maps how work gets done today, pinpoints the real pain points, and shapes AI solutions whose features directly address them. This includes defining what gets built and the first version's scope and acceptance criteria. The role also owns prioritization, business cases and measured value, so solutions move from pilot to production and are used every day.
General Responsibilities
• Drives the development of actionable product roadmaps by integrating inputs from cross-functional stakeholders in our business objectives & product strategy.
• Manage product positioning in the marketplace, including rationalizing pricing strategy based on market conditions.
• Develop product strategy and optimize product portfolio, providing planning and project prioritization
• Contributes to the pricing strategy through the product life cycle.
• Drives the development and execution of the product roadmap to improvement
• Provide support for operational issues associated with quality, delivery and production.
• Anticipating and communicating issues, recommending corrective action, and taking independent remedial actions and reporting outcomes
Experience / Qualifications
• A university degree required (i.e. Bachelors degree) or equivalent relevant work experience.
• Must be a team player able to work in a fast-paced environment with demonstrated ability to handle multiple competing tasks and demands
• Strong communication skills; oral, written and presentation
• Strong organization, planning and time management skills to achieve results
• Strong personal and professional ethical values and integrity
• Holds self-accountable to achieving goals and standards
• Proficient in Microsoft Office programs (Outlook, Word, PowerPoint, and Excel)
• Strong interpersonal & collaboration skills to work effectively with all levels of the organization including suppliers and/or external customers
Additional Responsibilities:
- Own AI products for commercial use cases, starting with Sales and Revenue Operations (e.g., lead triage and routing, opportunity scoring, account insights, next-best-offer) and extending to Pricing, Marketing and Commercial Finance (e.g., quote guidance, pipeline and bookings forecasting, competitor and peer performance intelligence).
- Map current workflows with sellers, account managers, pricing, marketing and commercial finance teams. Identify pain points, root causes and where AI can improve decisions or remove manual work.
- Translate pain points into product requirements: map AI features against each pain point, write user stories, and define the first version's scope, acceptance criteria and success metrics.
- Own the product backlog and roadmap. Prioritize features and make clear trade-offs with AI engineers, data scientists and the AI Architect.
- Test solutions with users, run pilots, gather feedback and iterate until the product is adopted in daily work.
- Run intake, triage and prioritization for commercial AI use cases, and recommend scale, pivot or stop decisions.
- Build business cases with business owners and Finance (baseline, target value, cost). After go-live, track realized value such as revenue growth, win rate, price and margin, pipeline conversion and seller productivity.
- Make sure every product has a named business owner, success metrics and an adoption plan before build starts.
- Work with AI Governance, AI Enablement, IT and vendors (eg Salesforce) so products clear governance gates and fit into CRM, CPQ and ERP systems. Own business requirements in vendor and build/buy evaluations.
- Report product status, value and key decisions to AI leadership and business leaders.
Additional Qualifications:
- 7+ years in product management, digital/AI product, sales operations, revenue operations or commercial roles, including 3+ years owning data, analytics or AI products.
- Hands-on commercial background, ideally in sales operations, revenue operations, pricing, key account management or commercial finance.
- Strong product discovery skills: workflow and process mapping, user research and pain-point analysis, turned into clear requirements, user stories and acceptance criteria.
- Track record of defining a first version and taking products from idea to production with measured adoption and business value.
- Working knowledge of CRM (e.g., Salesforce), CPQ/pricing tools, ERP and commercial data such as pipeline, bookings, pricing and margin.
- Enough technical depth in GenAI, ML, forecasting and agents to challenge engineers and vendors on scope, feasibility and cost.
- Experience building business cases and tracking realized value with Finance.
- Experience with Agile product delivery and backlog tools such as Jira or Azure DevOps.
- Able to influence senior business leaders with evidence and make clear prioritization calls.
- Experience in B2B manufacturing, automotive or industrial environments preferred. Product certification (e.g., CSPO) or Salesforce certification preferred
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