Senior Product Manager (AI-Native Products)

Shape the Future of AI-Powered ProductsWe are looking for an experienced Senior Product Manager to lead the vision, strategy, roadmap, and commercialization of next-generation AI-native products. This role is ideal for a product leader passionate about turning emerging AI capabilities into real-world business outcomes, driving innovation from concept to launch, and collaborating across engineering, data science, design, and commercial teams. Role OverviewAs a Senior Product Manager, you will own the end-to-end lifecycle of AI-native product capabilities that reduce manual effort, improve decision-making, and deliver measurable customer value. You will work directly with customers and internal stakeholders to identify high-impact opportunities, define product strategy, build MVPs, validate market demand, and drive successful go-to-market execution. Key ResponsibilitiesProduct Strategy & VisionDefine and execute the roadmap for AI-native products and intelligent workflow solutions.Identify opportunities where AI can automate, assist, or enhance customer workflows.Translate customer problems into innovative product solutions with measurable impact.Product Ownership & ExecutionOwn product vision, backlog prioritization, requirements, pilots, and launch readiness.Define MVP scope, user stories, acceptance criteria, and success metrics.Drive product delivery through close partnership with engineering and data science teams.Customer Discovery & ValidationConduct customer interviews and stakeholder workshops to uncover workflow challenges and business opportunities.Gather insights to shape product direction, adoption strategies, and commercial viability.AI Product InnovationApply practical understanding of LLMs, AI agents, copilots, workflow automation, and AI platform capabilities.Partner with technical teams to evaluate model quality, reliability, observability, and safety considerations.Experimentation & MeasurementDesign experiments and define KPIs for adoption, business impact, model performance, and customer value.Use data-driven insights to continuously improve product outcomes.Commercialization & Go-to-MarketCollaborate with Sales, Marketing, and Customer Success on product launches, pricing strategies, pilot programs, enablement materials, and customer success stories.Support revenue growth through successful commercialization of AI-powered solutions. Required ExperienceProven experience launching and scaling new digital or SaaS products from concept to market.Strong background in Product Management within technology-driven environments.Practical understanding of AI, Generative AI, LLMs, AI Agents, Copilots, Prompt Engineering, and AI Automation.Experience defining product roadmaps, MVPs, KPIs, and measurable business outcomes.Strong analytical skills with experience using data to drive product decisions.Ability to work effectively with engineering, data science, and cross-functional teams.Strong customer-centric mindset and experience conducting product discovery.Experience with enterprise SaaS, digital platforms, automation solutions, or AI products is highly preferred. Preferred QualificationsExperience with Agentic AI, AI Assistants, Workflow Automation, or Enterprise AI Platforms.Understanding of responsible AI, model monitoring, human-in-the-loop systems, and compliance requirements.Experience operating within complex enterprise environments involving security, legal, procurement, and integration teams.Background supporting B2B, enterprise, government, or large-scale digital transformation initiatives. EducationBachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Business, or a related field.Master's degree or MBA is a plus.Product Management, Agile, Cloud, AI, or Data-related certifications are advantageous. What Makes You SuccessfulStrong product judgment and ability to identify high-value AI opportunities.Ability to transform ambiguity into actionable product plans and successful launches.Commercial mindset with a focus on customer value and business impact.Excellent communication, stakeholder management, and decision-making skills.Passion for innovation and building category-defining AI products.