Product Manager

We are expanding our product management team responsible for driving AI-powered products and embedding artificial intelligence across every stage of the product lifecycle. As a Senior Product Manager | Applied AI, you will spearhead the vision, strategy, roadmap, and delivery of multiple products—including at least one AI-driven solution—while leveraging AI daily to accelerate workflows, make sharper decisions, and mentor fellow Product Managers.

Responsibilities

• Own 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 precise requirements and use cases for AI features by treating them as probabilistic products, establishing data scopes, use-case fit, evaluation criteria, quality thresholds, safety guardrails, and human-in-the-loop review mechanisms as acceptance standards
• Identify strategic opportunities where artificial intelligence can elevate product value, customer experience, internal processes, and business outcomes while building and sizing rigorous business cases for implementation
• Utilize AI tools productively and with disciplined oversight across product discovery, research synthesis, data analysis, documentation, user story creation, prototyping, and planning, always verifying outputs before relying on them
• Prioritize product features, maintain product backlogs, and oversee release cycles, utilizing AI-assisted analytics to support rather than replace human decision-making
• Manage the comprehensive product lifecycle, incorporating the unique operational considerations of AI features such as model and version changes, quality drift, and ongoing human oversight
• Partner closely with engineering, data, design, and AI/ML teams to translate product intent into actionable requirements while successfully navigating technical constraints in product decisions
• Establish realistic expectations with clients and stakeholders regarding AI capabilities and limitations, communicating benefits, risks, and trade-offs in clear, accessible language
• Actively mentor fellow Product Managers and elevate the team's practical artificial intelligence proficiency by leading through daily example

Requirements

• Minimum of 5 years of professional experience in Product Management, successfully managing one or more products end to end through post-launch maintenance and support
• Demonstrated history of launching multiple products or key capabilities to market, including hands-on experience delivering or materially enhancing AI-powered products or features such as generative AI, machine learning, recommendation engines, search algorithms, or automation tools
• Strong ownership of product strategy, vision, roadmapping, market analysis, and product visioning, with proven ability to identify and justify high-value artificial intelligence opportunities
• Extensive experience managing backlogs, cross-product dependencies, release cycles, product lifecycles, and ongoing customer support models
• Comprehensive familiarity with product profitability, competitive positioning, pricing strategies, and the critical cost, latency, and quality trade-offs shaping AI-feature economics
• Deep subject matter expertise across 3 or more business domains, enabling you to act as a trusted business-domain subject matter expert
• Solid working AI literacy covering current AI and generative AI/LLM capabilities, reliable boundaries, common patterns, and typical failure modes to make sound product decisions and hold credible technical dialogues without requiring model-building knowledge
• Proven ability to influence diverse 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 raising the team's practical AI proficiency by sharing verified working methods and coaching on requirements and evaluation criteria for AI features
• Practical, daily utilization of artificial intelligence across research, discovery, analysis, documentation, user stories, prototyping, and planning, paired with rigorous output verification
• 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, incorporating evaluation criteria, quality bars, guardrails, and human oversight
• Strong capability 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