Hiring for a fast-growing Agentic AI startup transforming Data Engineering and Data Operations.
Their platform uses autonomous AI agents to automate documentation, data quality, observability, governance, and workflow optimization across modern data stacks such as dbt, Snowflake, Databricks, BigQuery, Airflow, and Spark.
Backed by leading investors and trusted by enterprise customers globally, they are redefining how modern data teams work and scale.
Role: Senior / Staff Product Manager- AI & Data Platform
Reporting To: SVP- Product
Location: Bangalore, India
Work Mode: Hybrid
Experience: 7+ Years
Company Size: 50 Employees
Engineering Team: 40 Engineers
You will help expand and scale the capabilities of the DataPilot platform by envisioning, scoping, and launching next-gen functionality -_-
What makes this opportunity special:
● Native GenAI product management experience: The industry is dividing into two
camps: those who've built native GenAI products and those who've merely added
GenAI features to existing products -_- Which camp do you want to be in?
● First row seat in early-stage rocket ship: We are experiencing rapid growth that will
explode in 2026, leading to experience and skills growth that only an early-stage high
growth startup like ours can offer.
● Direct collaboration with founders:Become an integral part of our decision-making
process, working directly with founders to shape both engineering initiatives and
go-to-market strategies -_-
● Accelerated career trajectory: Join as a product manager at an early stage -_- As
we scale, you can lead a team, shape strategy, and influence the entire industry -_-
What You’ll Do
● Define product strategy and roadmap: Identify key use cases by interacting closely
with our customers and users, and define the product strategy and roadmap
● Shaper user experience: Collaborate with UX designers to transform your product
vision into intuitive interfaces specifically designed for native GenAI functionality,
setting new standards for user interaction.
● Build amazing functionality: Work alongside our world-class engineering team to
build groundbreaking products that exceed customer expectations and push the
boundaries of what's possible -_-
● Champion user needs: We have thousands of companies using our product - interact
with them closely to become the voice of all these users inside the company
● Enable sales success: Work closely with our sales and support teams to provide air
cover during pre-sales and post-sales stages for our key enterprise customers
● Collaborate with marketing:Collaborate with marketing to deliver industry-leading
messaging, positioning, pricing, and lead-generation strategy.
Who You Are
● Proven Data Product Experience:Minimum of 7+ years in enterprise product
management, with a track record of successfully developing and launching technical
products for data engineers -_-
● Technical Expertise:
○ Deep understanding of data stack concepts including ELT pipelines, data
warehousing, data quality frameworks, and workload orchestration
○ Hands-on experience with contemporary modern data stack technologies
such as dbt, Snowflake, Spark, Fivetran, Airflow
○ Strong foundation in AI technologies, including LLM frameworks, RAG
architectures, and AI evaluation methodologies
● Exceptional Leadership Skills:Demonstrated ability to influence and align
cross-functional teams toward common objectives through collaboration and
persuasion rather than formal authority -_-
● Strategic Problem Solver: Strong analytical and creative thinking capabilities, with
proven success in navigating ambiguity and developing innovative solutions to
complex customer challenges.
● Startup DNA: Previous experience in Series A or B-stage startups, demonstrating the
ability to excel in fast-paced, dynamic environments where adaptability is key
Note: This is an Individual Contributor (IC) role. We are looking for someone who can operate independently, make product decisions, and drive execution with minimal supervision.
- Prior experience in a Series A/B startup environment (Founder experience is a plus).
- Must have built products for Data Engineers.
- Series A startup experience is mandatory.
- AI product experience is required.
Pay: ₹4,500,000.00 - ₹6,500,000.00 per year
Work Location: In person
