We are investing in product leadership to ship AI-powered products and embed artificial intelligence across discovery, delivery, and operations. As a Product Manager , you will guide strategy, roadmap, and releases for several products, including at least one AI-driven solution, and use AI every day to sharpen decisions. Join a collaborative team and apply today Responsibilities Drive the complete vision, strategic direction, roadmap execution, and end-to-end delivery of one or more products, ensuring at least one solution is powered by artificial intelligence Define rigorous requirements and use cases for AI features as probabilistic products, including data scopes, use-case fit, evaluation criteria, quality thresholds, safety guardrails, and human-in-the-loop review mechanisms as acceptance standards Identify where artificial intelligence can improve product value, customer experience, internal processes, and business outcomes, and build and size rigorous business cases for implementation Leverage AI tools with disciplined oversight throughout product discovery, research synthesis, data analysis, documentation, user story creation, prototyping, and planning, verifying outputs before relying on them Plan priorities, maintain product backlogs, and coordinate release cycles, using AI-assisted analytics to support rather than replace human decision-making Manage the end-to-end product lifecycle with AI operational realities such as model and version changes, quality drift, and ongoing human oversight Partner with engineering, data, design, and AI/ML teams to convert product intent into actionable requirements and make product decisions within technical constraints Communicate clearly with clients and stakeholders about AI capabilities and limitations, including benefits, risks, and trade-offs in accessible language Support and mentor fellow Product Managers, elevating the team's practical artificial intelligence proficiency by leading through daily example Requirements At least 5 years of professional experience in Product Management, managing one or more products end to end through post-launch maintenance and support Demonstrated success launching multiple products or major capabilities, with hands-on delivery or material enhancement of AI-powered products or features such as generative AI, machine learning, recommendation engines, search algorithms, or automation tools Strong capability to own product strategy, vision, roadmapping, market analysis, and product visioning, including identifying and justifying high-value artificial intelligence opportunities Extensive experience handling backlogs, cross-product dependencies, release cycles, product lifecycles, and ongoing customer support models Comprehensive familiarity with product profitability, competitive positioning, pricing strategies, and the cost, latency, and quality trade-offs that drive AI-feature economics Deep subject matter expertise across 3 or more business domains, allowing you to act as a trusted business-domain subject matter expert Solid AI literacy covering current AI and generative AI/LLM capabilities, reliable boundaries, common patterns, and typical failure modes to support product decisions and credible technical dialogues without needing model-building knowledge Proven ability to influence stakeholders up to the VP level and lead all critical aspects of complex product launches Strong leadership capability to guide a team of Product Owners and Product Managers across a product line or family through the complete product lifecycle Commitment to improving the team's practical AI proficiency by sharing verified working methods and coaching on requirements and evaluation criteria for AI features Practical daily use of artificial intelligence across research, discovery, analysis, documentation, user stories, prototyping, and planning, with rigorous verification of outputs Demonstrated ability to identify and justify high-impact AI opportunities within products, operational processes, customer experiences, and business outcomes Comprehensive working AI literacy encompassing concepts, terminology, capabilities, and limitations at a product management depth Proven experience defining rigorous requirements and use cases for AI features, including evaluation criteria, quality bars, guardrails, and human oversight Strong ability to evaluate AI outputs for quality, accuracy, risk, limitations, and overall user impact Deep awareness of responsible-AI principles covering data privacy, algorithmic bias, security, transparency, and human oversight Demonstrated ability to collaborate effectively with engineering, data, design, and AI/ML development teams Unwavering adaptability and commitment to continuous learning as AI tools and capabilities rapidly evolve Fluent English communication skills at a B2 level or higher Nice to have Advanced hands-on prototyping experience with AI builder tools achieving near-production fidelity Proven ability to build product manager agents and multi-step automations streamlining research, backlog management, analytics, and communications In-depth understanding of AI-feature economics, including cost, latency, and unit economics, alongside model lifecycle management covering drift, versioning, and vendor changes Familiarity with emerging AI regulations such as the EU AI Act and relevant industry-specific compliance rules Direct prior experience successfully scaling and taking an AI-powered product to production
