Shape the Future of AI-Powered Products
We 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 Overview
As 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 Responsibilities
Product Strategy & Vision
- Define 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 & Execution
- Own 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 & Validation
- Conduct 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 Innovation
- Apply 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 & Measurement
- Design 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-Market
- Collaborate 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 Experience
- Proven 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 Qualifications
- Experience 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.
Education
- Bachelor'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 Successful
- Strong 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.
