Product Manager

SatSure

SatSure

Product
Posted on May 2, 2025
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. We’re 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:
  • Bachelor's/Master's in Computer Science or related field
Must-have:
  • 3–5 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 won’t 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