AI Builder, Principal Product Manager

Accountabilities:

Identify friction points, bottlenecks, and unnecessary handoffs across complex platform workflows, prioritizing opportunities that deliver significant value for customers and the business.
Define product direction by translating ambiguous, multi-system challenges into clear problems, strategic priorities, and actionable solution concepts.
Challenge existing platform capabilities and operating models, determining where functionality should be replaced, simplified, or significantly improved through evidence-based experimentation.
Build and validate AI-assisted prototypes and demonstrations using AI tools, prompt design, agentic workflows, real data, and system integrations to prove the feasibility and value of new approaches.
Collaborate closely with engineers and experience designers to explore solutions, test assumptions, and develop working proofs that demonstrate how proposed improvements perform in practice.
Conduct rapid experiments to compare alternative solutions, evaluate hypotheses, and guide product decisions based on measurable outcomes rather than assumptions or opinions.
Develop compelling before-and-after demonstrations that make existing challenges visible, illustrate the benefits of proposed solutions, and generate stakeholder support for change.
Translate experimental findings into a clear product vision, defining future platform capabilities and outlining practical paths to implementation.
Integrate customer insights, business objectives, user experience principles, and technical constraints into coherent, defensible product strategies.
Influence cross-functional stakeholders and build alignment around new approaches through evidence, working prototypes, and clear communication rather than relying on formal authority.
Help evolve product development practices by combining product thinking, experience design, and engineering within an AI-native delivery model.
Identify reusable insights and opportunities for broader platform improvements that can generate value across multiple workflows, products, and systems.
Requirements:
At least 8 years of experience driving product strategy and direction in complex technical environments, with a strong understanding of customer needs, business objectives, and technology capabilities.
A proven track record of using experimentation to discover opportunities, validate hypotheses, refine solutions, and demonstrate measurable customer or business impact.
Excellent product judgment and prioritization skills, with the ability to identify high-value opportunities across interconnected systems rather than focusing exclusively on individual features.
Hands-on experience building AI-assisted prototypes or demonstrations, including prompt engineering, agentic workflows, AI-powered tools, and system integrations.
Demonstrated ability to work across Product, Engineering, and Experience Design, shaping solutions end-to-end rather than relying on sequential handoffs between teams.
A strong execution-oriented mindset, with experience turning complex problems and strategic insights into tangible working outcomes instead of relying solely on requirements documents, presentations, or roadmaps.
Strong analytical and problem-solving skills, with the ability to synthesize user needs, business context, technical constraints, and experimental findings into clear product direction.
Proven ability to operate independently in ambiguous environments, take initiative, establish priorities, and make progress without a predefined roadmap.
Excellent communication, stakeholder management, and influencing skills, with the ability to build alignment across teams without relying on formal authority.
High learning agility and adaptability, with the ability to navigate rapidly evolving AI technologies, emerging product development practices, and complex technical challenges.
Preferred qualifications: Experience launching products or features from concept to market, particularly within workflow-intensive enterprise products, SaaS platforms, or greenfield environments.
Familiarity with designing product intent as an interface for agentic workflows, using hypothesis-driven experimentation and metrics-based iteration to improve outcomes.
Experience evaluating multiple solution approaches and selecting the most effective options based on demonstrated results rather than subjective preferences.
Understanding of complex, multi-system environments and the platform-level changes required to achieve broader business objectives.
Benefits:
Competitive base salary: For US-based positions, compensation is determined by experience, qualifications, and geographic location. The source job description provides a salary range only for Canada-based roles, so a US-specific range was not disclosed.
Additional compensation opportunities: The overall compensation package may include annual cash bonuses and stock grants, subject to the applicable role and compensation structure.
Comprehensive benefits package: Benefits are offered, although specific healthcare coverage, retirement plans, and paid time off details were not provided in the source description.
Meaningful product ownership: Influence platform strategy, challenge established approaches, and help define how AI transforms complex technology experiences.
Hands-on AI innovation: Work directly with AI tools, agentic workflows, prototypes, and real-world systems to turn ambitious ideas into practical solutions.
Cross-functional collaboration: Partner with a small, multidisciplinary team spanning product management, engineering, and experience design.
Professional growth: Expand your expertise in AI-driven product development, rapid experimentation, enterprise platforms, and emerging technologies.
Strategic influence: Shape product direction and demonstrate the value of new approaches through tangible results and evidence-based recommendations.
Inclusive workplace culture: Join an environment committed to belonging, collaboration, and creating opportunities for individuals from diverse backgrounds to thrive.
Onboarding requirements: In-person onboarding and/or identity verification may be required for this position.