About the RoleWe are looking for a
Product Manager, Data Platform & AI Platform to define the strategy and drive delivery of next-generation data, analytics, and AI capabilities. This role sits at the intersection of
platform engineering, customer-centric product management, and applied AI innovation, spanning two key domains: A
data platform powering ingestion, streaming, integration, and analytics and a
customer-facing AI platform enabling intelligent tools, workflows, and AI-assisted experiences. You'll own the vision, roadmap, and execution across both areas, working hands-on with engineering teams while shaping the future of AI-driven user experiences for our customers.
Responsibilities- Define and execute the product strategy and roadmap across data and AI platform domains
- Own data platform capabilities including ingestion, streaming, transformation, integration, and analytics
- Lead product direction for data quality, governance, security, observability, and scalability
- Partner with engineering, architecture, and cross-functional teams to translate business needs into technical solutions
- Own the vision and delivery of a customer-facing AI platform, including assistants, workflows, and intelligent tools
- Translate customer needs into intuitive, scalable, and impactful AI-driven product experiences
- Drive adoption of AI capabilities by gathering feedback, measuring usage, and iterating based on outcomes
- Manage and prioritize product backlogs, write user stories, and support Agile delivery processes
- Conduct market research and competitive analysis to inform product direction
- Define success metrics and KPIs to guide decision-making and measure impact
- Contribute to go-to-market planning and communicate product vision to stakeholders
- Balance short-term delivery goals with long-term strategic platform investments
RequirementsQualifications - 3+ years of experience in product management or a similar role within a technical software environment
- Strong understanding of data platforms (pipelines, streaming, integration, modeling, governance, and analytics)
- Experience with modern cloud data ecosystems (Databricks and AWS preferred)
- Familiarity with AI/MLproduct concepts, especially customer-facing applications like copilots or intelligent workflows
- Proven ability to translate customer needs into product requirements, roadmaps, and deliverables
- Hands-on experience managing backlogs and working closely with engineering teams in Agile environments
- Strong communication, stakeholder management, and collaboration skills
- Analytical mindset with strong problem-solving capabilities
- Track record of delivering products or features end-to-end
We understand that experience comes in many forms and that careers are not always linear. If you don't meet every requirement in this posting, we still encourage you to apply.
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