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

- Lead 0-to-1 product discovery and execution cycles to validate customer problem statements.
- Translate identified problems into clear hypotheses and measurable validation plans.
- Engage with clients to co-develop prototypes, gather feedback, and refine use cases.
- Convert validated prototypes into product backlogs and scalable roadmaps.
- Ensure fast decision-making and execution velocity throughout the product lifecycle.

Collaboration with Data Science





- Work hand-in-hand with DSMs during model experiments and feature evaluations.
- Define and monitor success criteria for data and model experiments.
- Translate insights from experiments into actionable product directions.
- Track product and model performance post-deployment to ensure business alignment.

Product Development & Delivery

- Create detailed PRDs and sprint plans to translate prototypes into incremental releases.
- Manage execution timelines across Data Science, Engineering, and Business teams.
- Balance trade-offs between speed, quality, and scalability in every release cycle.
- Drive continuous client feedback integration to align MVPs with evolving needs.

Driving Market & Business Success

- Collaborate with business teams to deploy and scale products across customer segments.
- Partner with GTM and Sales teams on pilot success metrics, launch readiness, and adoption tracking.
- Contribute to product narratives, demos, and success stories that enhance client confidence.
- Ensure ethical data use and responsible AI practices in all product decisions.

Qualification:

- Bachelor’s degree in technology, statistics, or a related field.
- 1–2 years of experience in product management, business analysis, or equivalent execution-oriented roles (internships or early-career roles welcome).

Must Have:

- Strong foundation in statistics and data analysis to make data-backed product decisions.




- Proven ability to execute rapidly from problem discovery to working prototype.
- Demonstrated ownership in managing product delivery cycles and measurable outcomes.
- Experience collaborating directly with Data Science, Engineering, or GTM teams.
- Strong ability to structure ambiguity into actionable plans with clear success metrics.
- Excellent communication and stakeholder management skills.
- Comfort working in fast-paced, iterative product environments with tight feedback loops.

Good to Have:

- Exposure to geospatial, sensor, or multimodal data (imagery, time-series, text).
- Understanding of AI/ML lifecycle, experiment tracking, and model evaluation metrics.
- Experience in designing or managing data-heavy or analytics-driven products.
- Familiarity with agile product execution frameworks (Jira, sprint reviews, user story mapping).
- Prior exposure to data visualization tools or lightweight prototyping environments (e.g., Streamlit, Figma, PowerBI).
- Academic or research experience in applied statistics, ML experiments, or data science workflows.

Benefits:

- Chance to contribute to building futuristic data products at the intersection of AI and space technology.
- Flat organizational structure with strong values of empathy, problem-solving, integrity, customer focus, and ownership.
- Learning and skill development allowances, broadband and remote work support, medical insurance, and more.
- Medical Health Cover for you and your family, including unlimited online doctor consultations
- Access to mental health experts for you and your family
- Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, and bereavement leaves
- Twice a year appraisal

Interview Process:

- Intro call
- Interview rounds (ideally up to 3-4 rounds)
- Culture Round / HR round

📌 Associate Product Manager (India)
🏢 SatSure Analytics India
📍 India