We're building out our product management team focused on advancing AI-powered solutions and embedding artificial intelligence across the full product lifecycle. As a Senior Product Manager | Applied AI, you'll drive the vision, strategy, roadmap, and delivery for multiple products—with at least one centered on AI—while incorporating AI into your daily routine to accelerate work, sharpen decisions, and coach fellow Product Managers Responsibilities Carry full responsibility for the vision, strategic direction, roadmap execution, and complete delivery of one or more products, ensuring at least one leverages artificial intelligence Establish detailed requirements and use cases for AI functionality by treating them as probabilistic offerings, setting data parameters, use-case alignment, evaluation standards, quality thresholds, safety mechanisms, and human-in-the-loop checkpoints as acceptance criteria Discover strategic areas where artificial intelligence can increase product value, customer experience, internal processes, and business outcomes while building and scaling detailed business cases for deployment Use AI tools effectively and under careful review throughout product discovery, research synthesis, data analysis, documentation, user story creation, prototyping, and planning, consistently validating outputs before depending on them Order product features by priority, maintain product backlogs, and manage release schedules, leveraging AI-supported analytics to enhance rather than replace human decisions Supervise the complete product lifecycle, considering the particular operational demands of AI features such as model and version transitions, quality drift, and ongoing human review Team up closely with engineering, data, design, and AI/ML groups to convert product goals into practical requirements while navigating technical limitations effectively within product decisions Set honest expectations with clients and stakeholders regarding AI capabilities and limits, explaining benefits, risks, and trade-offs through clear, simple language Coach fellow Product Managers and build up the team's practical AI expertise by modeling effective use on a daily basis Requirements At least 5 years of professional experience in Product Management, having successfully led one or more products from launch through ongoing post-launch support Established history of bringing multiple products or significant capabilities to market, including hands-on involvement delivering or meaningfully enhancing AI-powered products or features such as generative AI, machine learning, recommendation systems, search algorithms, or automation technology Strong ownership demonstrated in product strategy, vision, roadmapping, market analysis, and product visioning, along with proven skill identifying and justifying valuable AI opportunities Extensive background managing backlogs, cross-product dependencies, release cycles, product lifecycles, and ongoing customer support approaches Thorough knowledge of product profitability, competitive positioning, pricing strategy, and the critical cost, latency, and quality trade-offs that drive AI-feature economics Deep expertise spanning 3 or more business domains, enabling you to function as a trusted subject matter resource across the business Solid functional AI literacy covering current AI and generative AI/LLM capabilities, dependable boundaries, common patterns, and typical failure modes to inform sound product decisions and credible technical discussions without requiring model-building expertise Demonstrated skill influencing diverse stakeholders through VP level and leading all critical elements of complex product launches Strong leadership ability guiding a team of Product Owners and Product Managers across a product line through the entire product lifecycle Genuine dedication to raising the team's hands-on AI proficiency by sharing proven methods and coaching on requirements and evaluation criteria for AI features Consistent daily use of artificial intelligence throughout research, discovery, analysis, documentation, user stories, prototyping, and planning, combined with rigorous output verification Proven ability identifying and justifying meaningful AI opportunities within products, operational workflows, customer experiences, and business results Comprehensive functional AI literacy covering concepts, terminology, capabilities, and limitations at a depth suitable for product management Demonstrated history defining rigorous requirements and use cases for AI features, incorporating evaluation criteria, quality thresholds, guardrails, and human oversight Strong skill assessing AI outputs for quality, accuracy, risk, limitations, and overall impact on users Deep understanding of responsible-AI principles including data privacy, algorithmic bias, security, transparency, and human oversight Demonstrated ability working effectively alongside engineering, data, design, and AI/ML development teams Strong adaptability and continued commitment to learning as AI tools and capabilities keep evolving Fluent English communication skills at a B2 level or higher Nice to have Substantial hands-on prototyping experience using AI builder tools to reach near-production fidelity Demonstrated ability building product manager agents and multi-step automation to streamline research, backlog management, analytics, and communications Deep understanding of AI-feature economics, including cost, latency, and unit economics, together with model lifecycle management covering drift, versioning, and vendor changes Awareness of evolving AI regulations such as the EU AI Act and applicable industry-specific compliance requirements Previous hands-on experience successfully scaling an AI-powered product to full
