Senior Product Manager - Data Integrations

Accountabilities: Define and drive the product strategy and roadmap for data integrations, identifying the most valuable external systems to connect based on customer needs, market opportunities, and business priorities. Gather insights from customers, field teams, and product stakeholders to identify integration gaps and establish clear prioritization. Shape how external data sources integrate into shared data models, including extract, transform, and load (ETL) processes and data transformation strategies. Define customer problems, target user groups, use cases, and expected outcomes for each integration. Collaborate closely with engineering teams to establish product requirements, technical trade-offs, user experiences, and delivery timelines. Translate product strategy into actionable epics, issues, and development backlogs. Define product telemetry, adoption metrics, and success indicators to measure integration performance and customer value. Analyze product usage and customer feedback to refine priorities and continuously improve integration capabilities. Contribute to pricing and packaging strategies as the data integration offering evolves. Leverage AI coding agents and product development tools to explore datasets, prototype integrations, and document product experiences. Collaborate with product managers and leadership across analytics, data insights, and AI initiatives to ensure alignment and consistency. Contribute to a culture of asynchronous collaboration, clear documentation, and data-driven product decision-making. Requirements: Proven experience in product management, with demonstrated ability to translate customer needs into product priorities and strategic decisions. Strong understanding of the DevOps ecosystem and software development workflows, including planning, security, observability, and IT service management. Working knowledge of data integration concepts, including ETL processes, data transformation, and mapping information from multiple sources into common data models. Ability to make informed product decisions and prioritize effectively in situations involving incomplete information and evolving requirements. Experience collaborating closely with engineering teams to define technical requirements, manage product backlogs, and deliver complex product capabilities. Familiarity with AI-powered tools and coding agents for product prototyping, exploration, and documentation. Strong communication skills, particularly in articulating customer problems, product vision, and requirements to technical and non-technical stakeholders. Analytical mindset with experience defining product metrics, evaluating adoption, and using data to guide product decisions. Ability to work independently and effectively within distributed, remote-first teams across multiple time zones. Excellent written communication skills and a strong commitment to documentation and asynchronous collaboration. Experience with data integration products, data modeling, analytics platforms, or value stream analytics is considered an advantage but is not mandatory. Comfortable working in a fast-paced, collaborative environment with a strong focus on innovation, continuous improvement, and customer impact. Must be based in Bangalore, India, or willing to relocate, with availability to attend the Bangalore office when required for business or team activities. Benefits: Remote-first work environment: Flexibility to work from home, with occasional office attendance in Bangalore when required. Flexible paid time off: Support for work-life balance and personal well-being. Equity compensation: Opportunity to participate in equity compensation and an employee stock purchase plan. Professional development: Access to a growth and development fund to support continuous learning and career advancement. Parental leave: Benefits designed to support employees and their families. Employee resource groups: Opportunities to connect with colleagues and participate in inclusive communities. Global collaboration: Work alongside talented professionals across regions and disciplines. AI-driven innovation: Incorporate AI tools into everyday workflows and contribute to modern product development practices. Career growth: Opportunity to influence product strategy, expand technical expertise, and contribute to impactful enterprise software solutions. Inclusive culture: A workplace that values diversity, transparency, collaboration, and individual contributions.