Product Manager
Product Manager
Posted on :
04-07-2025
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1 Vacancy
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Job Description
SatSure is hiring a mid-level Product Manager Data Platform to lead the development of a scalable internal data stack supporting geospatial data workflows. This role involves collaborating with data engineering and cross-functional teams to optimize data delivery reliability and automation.
About SatSure:
SatSure is a deep tech company that leverages satellite imagery and AI to drive decision-making in agriculture banking and infrastructure. Were on a mission to build scalable data-driven products that deliver actionable insights for high-impact sectors across emerging markets.
Role:
We are looking for a mid-level Product Manager to lead the development of our internal data platform. The ideal candidate will collaborate with data engineers and internal stakeholders to build a robust scalable and high-quality data stack that significantly reduces the turnaround time (TAT) from data generation to delivery.
You will not be expected to write code but you must possess a deep understanding of how data systems work and a knack for translating business needs into clear actionable technical requirements.
Responsibilities:
- Collaborate with data engineering teams to define and deliver a scalable data platform for managing raster and tabular datasets.
- Understand the end-to-end lifecycle of geospatial data from generation to delivery and drive improvements in quality automation and timeliness.
- Gather requirements from internal teams (e.g. data scientists solution architects product and sales) and convert them into structured product specifications.
- Own the product roadmap and prioritize initiatives based on business impact data reliability and team capacity.
- Define and track key metrics to measure the performance and reliability of the data platform.
- Facilitate sprint planning backlog grooming and stand-ups with cross-functional teams to ensure timely and quality delivery.
- Evangelize best practices in data quality checks metadata standards and process documentation across teams.
Qualification:
- Bachelors/Masters in Computer Science or related field
Must-have:
- 35 years of experience in product management preferably in a data-heavy or platform-focused role.
- Experience working closely with data engineering teams; familiarity with how data pipelines are designed and operated.
- Strong understanding of product lifecycle and backlog management.
- Ability to write clear concise product requirement documents and ask the right technical questions to uncover constraints and edge cases.
- Comfortable navigating ambiguity and making trade-offs between speed quality and scope.
- Curiosity and eagerness to learn about geospatial data satellite imagery and related tools.
Good-to-have:
- While you wont be writing code you should be familiar with or willing to quickly learn about:
- Cloud Platforms: AWS (S3 EC2 Lambda etc.)
- Data Pipeline Orchestration: Apache Airflow
- Geospatial Tools: QGIS STAC (SpatioTemporal Asset Catalog) PyGeoAPI
- Data Storage & Access: Apache Iceberg raster and tabular dataset management
- Version Control & Documentation: Git Confluence Jira
Benefits:
- Medical Health Cover for you and your family including unlimited online doctor consultations
- Access to mental health experts for you and your family
- Dedicated allowances for learning and skill development
- Comprehensive leave policy with casual leaves paid leaves marriage leaves and bereavement leaves
- Twice a year appraisal
Interview Process:
- Intro call
- Assessment
- Presentation
- Interview rounds (ideally up to 3-4 rounds)
- Culture Round / HR round
Required Experience:
IC
Employment Type
Full Time
Department / Functional Area
Key Skills
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