We are looking for an Associate Product Manager who thrives on execution and iteration. This role is ideal for someone who can move fast from discovery to delivery, work hands-on with data teams to validate hypotheses, and translate insights into working data products that deliver measurable business value.
About SatSure
SatSure is a Series A+ startup working at the intersection of space technology, remote sensing, and AI/Computer Vision.
We build data-driven products that solve critical problems in financial inclusion for smallholder farmers, climate sustainability, and infrastructure monitoring.
With a growing team of 150+ dreamers, our vision is to build a global satellite company that pushes the boundaries of what data from space can achieve for people and businesses on Earth.
There is no playbook yet for scaling a company like ours from 50 to 500 enterprise customers—but we are writing it, and you could be part of it.
Role:
You will take ownership of early-stage product execution, driving structured validation cycles with customers and data scientists to bring data-driven solutions from prototype to scale.
Your focus will be on translating ideas into working, testable solutions, shortening feedback loops, and enabling scalable product delivery.
Responsibilities:
Driving Product-Market Fit Execution
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Lead 0-to-1 product discovery and execution cycles to validate customer problem statements.
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Translate identified problems into clear hypotheses and measurable validation plans.
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Engage with clients to co-develop prototypes, gather feedback, and refine use cases.
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Convert validated prototypes into product backlogs and scalable roadmaps.
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Ensure fast decision-making and execution velocity throughout the product lifecycle.
Collaboration with Data Science
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Work hand-in-hand with DSMs during model experiments and feature evaluations.
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Define and monitor success criteria for data and model experiments.
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Translate insights from experiments into actionable product directions.
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Track product and model performance post-deployment to ensure business alignment.
Product Development & Delivery
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Create detailed PRDs and sprint plans to translate prototypes into incremental releases.
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Manage execution timelines across Data Science, Engineering, and Business teams.
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Balance trade-offs between speed, quality, and scalability in every release cycle.
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Drive continuous client feedback integration to align MVPs with evolving needs.
Driving Market & Business Success
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Collaborate with business teams to deploy and scale products across customer segments.
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Partner with GTM and Sales teams on pilot success metrics, launch readiness, and adoption tracking.
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Contribute to product narratives, demos, and success stories that enhance client confidence.
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Ensure ethical data use and responsible AI practices in all product decisions.
Qualification:
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Bachelor’s degree in technology, statistics, or a related field.
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1–2 years of experience in product management, business analysis, or equivalent execution-oriented roles (internships or early-career roles welcome).
Must Have:
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Strong foundation in statistics and data analysis to make data-backed product decisions.
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Proven ability to execute rapidly from problem discovery to working prototype.
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Demonstrated ownership in managing product delivery cycles and measurable outcomes.
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Experience collaborating directly with Data Science, Engineering, or GTM teams.
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Strong ability to structure ambiguity into actionable plans with clear success metrics.
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Excellent communication and stakeholder management skills.
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Comfort working in fast-paced, iterative product environments with tight feedback loops.
Good to Have:
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Exposure to geospatial, sensor, or multimodal data (imagery, time-series, text).
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Understanding of AI/ML lifecycle, experiment tracking, and model evaluation metrics.
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Experience in designing or managing data-heavy or analytics-driven products.
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Familiarity with agile product execution frameworks (Jira, sprint reviews, user story mapping).
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Prior exposure to data visualization tools or lightweight prototyping environments (e.g., Streamlit, Figma, PowerBI).
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Academic or research experience in applied statistics, ML experiments, or data science workflows.
Benefits:
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Opportunity to contribute to building futuristic data products at the intersection of AI and space technology.
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Flat organizational structure with strong values of empathy, problem-solving, integrity, customer focus, and ownership.
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Learning and skill development allowances, broadband and remote work support, medical insurance, and more.
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Medical Health Cover for you and your family, including unlimited online doctor consultations
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Access to mental health experts for you and your family
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Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, and bereavement leaves
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Twice a year appraisal
Interview Process:
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Intro call
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Interview rounds (ideally up to 3-4 rounds)
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Culture Round / HR round
