Product Manager I

• Partner with Product Management and Engineering leadership to understand PDIO strategy and drive execution within agreed priorities.

• Partner with Product Management and Engineering leadership to understand PDIO strategy and drive execution within agreed priorities.
• Convert the PDIO vision into well-defined product outcomes, roadmap priorities, and quantifiable opportunities.
• Develop a solid grasp of the developer journey, engineering workflows, SDLC methods, and challenges faced by product delivery teams.
• Ensure relationships and dependencies across developer platforms, engineering methods, tooling, data, and delivery processes are understood and reflected in product decisions.
• Integrate developer, engineering, product, and collaborator insights to build a shared understanding of the highest-value problems to solve.

• Recognize and assess opportunities to advance Developer Experience (DX), engineering productivity, software delivery flow, quality, and reliability.

• Recognize and assess opportunities to advance Developer Experience (DX), engineering productivity, software delivery flow, quality, and reliability.
• Partner with engineers, delivery managers, product managers, and other collaborators to understand workflow friction and determine root causes.
• Develop hypotheses and collaborate with engineering teams on experiments and solutions.
• Use quantitative DX signals alongside qualitative team feedback to distinguish symptoms from meaningful problems worth solving.
• Assess experiment results and use findings to inform backlog and roadmap prioritization.
• Help establish an effective parallel discovery and delivery model for PDIO.

• Take responsibility for the successful delivery of measurable, goal-aligned PDIO outcomes in collaboration with engineering and other technology teams.

• Take responsibility for the successful delivery of measurable, goal-aligned PDIO outcomes in collaboration with engineering and other technology teams.
• Own and refine the product roadmap and prioritized backlog for assigned PDIO capabilities.
• Transform validated opportunities into well-defined product requirements, outcomes, success measures, stories, and acceptance criteria.
• Work together with the team to divide tasks into smaller parts that allow for regular delivery and learning.
• Identify and help resolve dependencies and impediments affecting product outcomes.
• Engage fully in Agile ceremonies and join the team in ongoing efforts to refine delivery approaches.
• Communicate product releases, changes, and resulting value to collaborators and partners.

• Use DX, DORA, and SDLC metrics to understand product health, developer friction, delivery performance, and opportunities for improvement.

• Use DX, DORA, and SDLC metrics to understand product health, developer friction, delivery performance, and opportunities for improvement.
• Review dashboards weekly or per sprint to identify hotspots, trends, rework, lead-time indicators, blocked work, and cross-team handoff delays.
• Bring relevant signals into retrospectives, planning, and team reflection conversations.
• Use team health, snapshot results, negative themes, and satisfaction trends in combination with workflow measures to form a balanced understanding of developer experience.
• Partner with teams to co-create measurable improvement goals and promote experimentation and small changes.
• Evaluate whether PDIO capabilities produce measurable improvements in engineering effectiveness and developer experience.
• Use data to guide discovery, prioritization, investment decisions, and roadmap adjustments.

• Develop solid connections with Product Management, Engineering, Delivery Management, Platform Engineering, Architecture, Security, and other technology collaborators.
• Communicate PDIO strategy, priorities, roadmap, experiments, product performance, and outcomes clearly to collaborators.
• Develop shared understanding between engineering teams and supporting enterprise functions.
• Balance competing needs and prioritize opportunities based on expected developer and business value.
• Help collaborators understand and prepare product and process changes.

• Bachelor’s or Master’s degree in Computer Science, Technology, Engineering, Mathematics, or related fields, or equivalent professional experience (B.E. / B.Tech / M.S. / M.Tech / MCA).

• Bachelor’s or Master’s degree in Computer Science, Technology, Engineering, Mathematics, or related fields, or equivalent professional experience (B.E. / B.Tech / M.S. / M.Tech / MCA).
• Total Experience: 8-10 Years with more than 3 years of background in Product Management, technical product management, software ecosystems, engineering efficiency, or similar roles preferred.

• Strong product discovery, roadmap planning, backlog prioritization, and Agile delivery skills.

• Strong product discovery, roadmap planning, backlog prioritization, and Agile delivery skills.
• Strong collaborator management and communication skills, particularly when working across technical, product development, and engineering teams.
• Ability to convert complex technical concepts and engineering data into clear product opportunities, priorities, outcomes, and value.
• Analytical problem-solving skills and a committed, ownership approach.
• High agency and initiative: ability to translate agreed strategy and direction into action, proactively advance progress, and take ownership of outcomes without close supervision or daily prompting.

• Product Management experience working with Developer Platforms, Developer Experience (DX), Engineering Productivity, Platform Engineering, or similar technical products.
• Deep knowledge of Developer Experience concepts and DORA metrics, combined with the skill to convert engineering indicators into product insights and possibilities for improvement.
• Experience with GitHub Enterprise, GitHub Actions, CI/CD pipelines, and SDLC governance sufficient to product-manage capabilities across the engineering lifecycle.
• Experience using ServiceNow in the context of Agile delivery, process improvements, and incident management.
• Familiarity with Snowflake and experience interpreting data to guide product decisions, prioritization, and evaluation.