Senior AI Product Manager / AI Product Manager

BoehringerPRD•Brampton, ON

1d•$170,000 - $269,000

About The Position

Wanted: Pioneers, explorers, forward thinkers. The BI X ambition is to save and improve lives for both humans and animals by developing smarter healthcare solutions. To do so, we need to be digital pioneers. Adventurers who push the boundaries of what is possible and rise to every future challenge. If you want to shape the future of digital healthcare, to improve the quality of life for millions, this is your chance. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides an opportunity for all employees to collaborate internationally, offering visibility and the opportunity to directly contribute to the company’s success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim’s high regard for our employees. In this role, you’ll be the product leader for one or more digital initiatives — taking ideas from 0 to 1, defining strategy, leading product discovery, and guiding execution alongside a cross-functional team. You’ll wear many hats: product strategist, discovery expert, internal entrepreneur, builder, and trusted advisor to senior stakeholders. Working prototypes and proofs-of-concept — not slide decks — are how you’ll prove ideas and pressure-test new technologies, with AI tools like Claude Code, Cursor, and Lovable as your daily medium. And you won’t only build products — you’ll use AI to shape how the team works, creating internal tools and bringing in emerging AI capabilities the rest of us can adopt. This is a chance to build. From vision through validation to impact.

Requirements

Demonstrated builder track record: a portfolio of prototypes, internal tools, or 0-to-1 products you personally shipped.
Fluent with AI builder tools like Claude Code, Cursor, Lovable, Github Copilot, and opinionated about when each is the right call.
Technical depth to read code, work with APIs, and make trade-offs with engineers.
Strong design taste. You can tell good UX from bad on sight, and you produce prototypes people actually want to use.
Strong fluency in product discovery techniques (experimentation, user research, business model design) and a natural collaborator who can influence without authority across senior stakeholders.
Must be legally authorized to work in the United States without restriction.
Must be willing to take a drug test and post-offer physical (if required).
Must be 18 years of age or older.

Nice To Haves

Master's degree desired or Bachelor’s degree with practical experience (for Senior AI Product Manager).
Five plus (5+) years of digital product management experience, including hands-on product development (for Senior AI Product Manager).
Bachelor's degree or equivalent practical experience only (for AI Product Manager).
Two-plus (2+) years of digital product management experience (for AI Product Manager).
Experience in healthcare, life sciences, or other regulated environments.

Responsibilities

Define and own product vision and roadmap for early-stage digital products across therapeutic and business areas.
Build to think. Ship working prototypes — not just decks — using AI tools (Claude Code, Cursor, Lovable, v0) to validate desirability, feasibility, and viability fast.
Drive product discovery by identifying unmet user and business needs, testing assumptions through qualitative research, prototypes, landing pages, and A/B tests, and turning evidence into informed product decisions and a living roadmap.
Work side-by-side with cross-functional teams (engineering, UX, medical, commercial, legal) to move prototypes into pilots and beyond.
Partner with business and clinical stakeholders to align on outcomes, connect the product to strategic goals, and manage expectations throughout the journey.
Prioritize ruthlessly, keeping focus on what delivers meaningful impact — for patients, clinicians, or operations — rather than just building features.
Bring entrepreneurial thinking to pharma: help shape business models, go-to-market strategies, and internal adoption pathways for new solutions.
Mentor and support others in the organization on AI-native product practices as we scale our innovation capability.