Overview
The AI Product Manager owns the vision, strategy, and roadmap for AI-powered
products. This role bridges business goals, user needs, and technical possibility to
ship AI features that are valuable, responsible, and adopted at scale.
Your Role and Responsibilities
What You’ll Do
Key Responsibilities
- Define and own the AI product roadmap aligned to business strategy.
- Identify high-impact AI use cases and prioritize them against effort and value.
- Write clear requirements, success metrics, and evaluation criteria for AI features.
- Partner with AI engineers and designers to ship and iterate on features.
- Establish responsible AI, quality, and guardrail standards for products.
- Analyze usage, gather feedback, and drive adoption and retention.
REQUIREMENTS
What This Role Requires
Education
- Bachelor’s degree in Business, Computer Science, or a related field.
Experience
- 4+ years in product management, with experience shipping AI/ML or data products.
- Track record of launching products from concept to scale.
Technical Skills
- Solid understanding of LLMs, GenAI capabilities, and their limitations.
- Ability to define AI evaluation metrics and interpret model performance.
- Familiarity with data analytics and experimentation (A/B testing).
- Comfort working with APIs and technical architecture concepts.
Soft Skills
- Strong strategic thinking and prioritization.
- Excellent communication and stakeholder alignment.
- Data-driven decision-making.
- Customer obsession and strong product intuition.
Working at Motivus
What Working Here Looks Like
- Guild community: You’re part of the [Data & AI / Backend / Cloud] Guild — a community of practitioners in your domain. Structured learning, peer review, and certifications happen here, not in isolation.
- Outcome accountability: Your work connects directly to a client result. We don’t measure activity — we measure delivery.
- AI in your workflow: Through AI Champions and Guild initiatives, you’ll actively use and shape how AI tools are applied to engineering work — not just hear about it in a townhall.
- Defined career path: Structured progression from individual contributor to technical lead to Guild leadership, with certifications and milestones that are visible, not arbitrary.
