Senior Product Manager

Job Scope:

• The Technical Product Manager (TPM) role sits at the intersection of business strategy, technology, and data, driving the vision, roadmap, and execution of intuitive, scalable tools that abstract AI/ML complexity into simplified, usable workflows.
• TPM is responsible for the end-to-end lifecycle of AI-powered products from opportunity identification and conceptualization to launch, adoption, and continuous improvement.
• It requires strong technical depth and a product mindset capable of delivering impactful solutions that empower both technical and non-technical users to build, deploy, and iterate with ease, ensuring tangible business value and alignment with organizational goals.

Total /Relevant Experience:

10+ years of experience in product management, with at least 1 year focused on AI, data, or technology-driven products.

Key Responsibilities:

• Drive strategy and execution for intuitive, scalable platform capabilities that abstract AI/ML complexity into simplified, user-facing workflows
• Conduct global market and user research to identify platform opportunities that enable faster solution-building with minimal technical dependencies
• Maintain up-to-date personas and journey maps for key customer segments to inform roadmap and design decisions
• Translate product vision into a prioritized roadmap of reusable components, modular features, and extensible interfaces with clear success metrics
• Define and deliver product requirements for orchestration, template-based solutions, dynamic configuration, and visual design workflows
• Design and lead the development of AI agents and agentic workflows that automate complex tasks and enable adaptive, multi-step user interactions
• Track product performance using experiments, telemetry, and user behavior analytics; iterate to improve adoption and ease of use
• Lead discovery sprints to validate features such as workflow automation, API integrations, pre-configured model pipelines, and reusable logic blocks
• Develop prototypes, user stories, PRDs, MVP definitions, and acceptance criteria to ensure AI solutions are valuable, usable, and aligned with the roadmap
• Prioritize and manage the backlog; lead cross-functional Agile delivery teams to ensure timely delivery of high-impact platform features
• Work closely with engineering and UX teams to design and deliver scalable, user-friendly tools for composing, deploying, and managing AI workflows
• Own MVP development, feature releases, and continuous product improvement through agile iterations
• Run A/B tests or canary releases to validate feature impact before full-scale rollout
• Coordinate third-party integrations (e.g., APIs, vector DBs, pre-trained models) and manage reusable services to extend platform capabilities
• Evaluate and manage relationships with external vendors, including API providers, data sources, and MLOps platforms.
• Communicate progress, risks, and outcomes to executives and key sponsors with transparency and clarity
• Develop business cases, estimate ROI, and articulate product value to stakeholders and decision-makers
• Foster collaboration and alignment across engineering, design, business, and customer facing teams to ensure shared goals and smooth execution
• Build feedback mechanisms and enablement tools to support platform scalability, usability, and long-term success

Good-to-Have Skills:

• Design thinking with good understanding of AI/ML evolution, ecosystem, platforms, tools and component-based system design
• Working knowledge of APIs, plugin-based architectures, and event-driven systems
• Familiarity with prompt engineering, vector search, and LLM orchestration frameworks
• Hands-on familiarity with backend and frontend stacks (REST, GraphQL, React, microservices)
• Experience with cloud-native tooling (Docker, Kubernetes, CI/CD pipelines

Qualifications Criteria:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or Data Science
• 8+ years of experience in product management, with at least 1 year focused on AI, data, or technology-driven products
• Proven track record of managing full product lifecycle from ideation to launch and scale especially for AI/ML or tech products for tech & non tech users
• Experience working in Agile environments