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Product Manager at SatSure

NEW
Location
Bengaluru, Karnataka, India
Job type
Full time
Posted 1 day ago
Description

About the job

About SatSure


SatSure is a Series A+ startup that works at the intersection of space technology, remote sensing, and AI/Computer Vision, solving problems pertaining to financial inclusion of smallholder farmers, climate sustainability, and critical infrastructure asset monitoring. We are a team of 150+ dreamers who are looking to build a one-of-a-kind satellite company globally that pushes the boundaries of what data from space can do for people and businesses on Earth! There is no playbook yet for a company like ours on how to scale from 50 to 500 enterprise customers, but we are confident that we are building one that will be copied by many in the years to come.


Role


We're looking for a Product Manager to own the AI/ML Platform layer of SatSure's platform — one of three platform pillars, alongside App Platform (client-facing dashboards) and Data & Compute (spatial processing infrastructure). This role serves data scientists, ML engineers, and consuming product teams by owning the reusable systems and workflows used to build, govern, evaluate, deploy, and operate AI capabilities reliably at scale.


This is intentionally a technical product role. We're looking for someone with strong ML/DS or AI-platform depth and demonstrated product ownership across discovery, prioritisation, delivery and adoption; a formal PM title is not essential. The Product Lead owns customer problems, AI use cases and commercial outcomes, while this role owns how those capabilities are built, governed, deployed and operated. ML/DS leadership remains accountable for modelling decisions.


Responsibilities


  • Defining the Bigger Picture - Research AI-platform architecture, MLOps, evaluation, governance, and developer tooling
  • Identify where model/data improvements can unlock new platform capability or resolve existing quality gaps
  • Develop and communicate a product vision for the AI/ML Platform pillar, in coordination with the App Platform, Data & Compute and AI Product Lead
  • Manage a roadmap for model/data work that maps to platform-wide priorities
  • Define MVP scope for reusable platform capabilities and build effective feedback loops with DS/ML engineering and consuming product teams


Steering Product Development


  • Define platform requirements for data discovery, ownership, access, permitted use, quality, dataset versioning, annotation and end-to-end lineage
  • Define and track platform metrics such as adoption, experiment-to-production time, reproducibility, reuse, reliability, monitoring coverage and cost; the AI Product Lead owns use-case and business outcomes
  • Work with data scientists and ML engineers to define reusable evaluation frameworks, release workflows, evidence requirements and platform gates; ML/DS leadership owns modelling decisions
  • Own model catalogue and registry workflows for reuse, versioning, promotion and retirement; product value and modelling approach remain with the AI Product Lead and ML/DS leadership respectively
  • Define observability requirements across data quality, model behaviour and system health, including drift, degradation, failures and operational limits
  • Manage the AI/ML platform backlog, prioritise shippable increments and keep adoption, reliability, governance and cost trade-offs transparent


Driving Platform Success


  • Own the platform product lifecycle from experimentation and validation through deployment, monitoring, rollback, retraining, replacement and retirement; engineering owns implementation and operations
  • Provide App Platform and the AI Product Lead with stable model-service interfaces, capability metadata, operational limits and reusable integration patterns
  • Enable model documentation, intended-use and limitation records, evaluation evidence, approvals, audit trails and access controls with Security, Legal and governance owners
  • Provide feasibility, scalability, reliability, cost and service-level inputs when platform capability affects delivery or customer commitments; the AI Product Lead leads the commercial commitment


Must have


  • 3+ years of relevant experience across technical product management, ML engineering, data science, MLOps, AI platforms or data platforms, with strong understanding of the end-to-end ML lifecycle
  • Strong first principles thinking and high agency
  • Demonstrated ownership of a technical product or platform capability across discovery, prioritisation, cross-functional delivery, adoption, and measurable improvement
  • Strong analytical skills and comfort using data to inform decisions
  • Excellent written and verbal communication, stakeholder management, and ability to make clear trade-offs across technical and product teams
  • Ability to work effectively with multiple stakeholders and handle ambiguity


Good to have


  • Hands-on experience building, training, evaluating, or shipping machine-learning or computer-vision models; a formal PM title is not essential if product ownership is demonstrated
  • Deep understanding of geospatial data, especially satellite Earth observation (EO) data
  • Experience with internal developer platforms, experiment tracking, orchestration, registries, feature stores, CI/CD or continuous-training workflows
  • Experience with data catalogues, lineage systems, annotation platforms, data-quality pipelines or model governance


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, bereavement leaves


101-500

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Product Manager at SatSure: Role, Work Culture and Interview Guide

Considering a Product Manager at SatSure role? The available listing identifies a full-time, mid-senior Product Management opportunity in Bengaluru, Karnataka, India. It does not provide a detailed job description, salary range, or specific experience requirement, so use the application page to confirm the latest responsibilities and qualifications. The guide below offers general context on the role and practical preparation tips without treating unverified details as confirmed company policy.

Why work at SatSure

SatSure works in the earth-observation and geospatial technology space, where satellite data and analytics can help organizations understand activity and conditions on the ground. For a Product Manager, this kind of environment can offer the chance to work on products that connect complex data, software, and customer needs. If you enjoy turning technical capabilities into practical solutions, the role may be a compelling opportunity to explore.

A Product Manager at SatSure may need to think across several dimensions: who will use a product, what decisions it should help them make, what data or technology is required, and how success should be measured. This combination can appeal to people who like solving ambiguous problems and collaborating with teams that have different areas of expertise. Depending on the product and team, collaboration could involve engineering, design, data, sales, customer-facing teams, or domain specialists. Confirm the actual team structure and scope with the recruiter.

The listing describes the opportunity as full-time and mid-senior level, with a Bengaluru location. Those details can help you assess whether the role aligns with your career stage and working preferences. Before applying, consider asking about the product area, team size, decision-making responsibilities, customer exposure, and expectations for the first few months. These questions can help you understand what the position involves beyond the title.

SatSure’s technology focus may also be attractive to candidates interested in applying data and digital tools to real-world challenges. The precise customer problems and product outcomes for this particular opening are not specified in the available listing, however. Review SatSure’s current company materials and the full job posting to learn which markets, users, and product priorities are most relevant to the role.

What’s it like to work at SatSure

The experience of working at SatSure will depend on the team, product, manager, and stage of the business. The listing alone does not describe the company’s culture, working hours, benefits, or in-office expectations. Instead of assuming a particular work environment, candidates should use interviews to understand how teams collaborate and how product decisions are made.

In a technology business that combines software with data or domain-specific capabilities, product work can involve learning unfamiliar concepts and explaining them clearly. A Product Manager may need to translate customer needs into product requirements, help technical teams understand the intended outcome, and make trade-offs when time or resources are limited. The details will vary by team, so ask which groups the role works with most often and how responsibilities are divided.

Useful questions for learning about the working environment include:

  • How does the product team gather and prioritize customer feedback?
  • Who contributes to product strategy and roadmap decisions?
  • How do product, engineering, design, and data teams coordinate?
  • What is the expected balance between discovery, delivery, and stakeholder communication?
  • How is product success measured?
  • What should a new Product Manager accomplish in the first 90 days?
  • What are the team’s Bengaluru work arrangements and collaboration norms?

The answers can give you a more realistic picture than general assumptions about the company or industry. They can also help you decide whether the role’s pace, responsibilities, and working style fit your strengths.

What’s it like to work as a Product Manager at SatSure

The available posting confirms a mid-senior, full-time Product Manager role in Bengaluru, but it does not list specific duties or required years of experience. The responsibilities below describe common expectations for product management roles and should be treated as topics to verify—not as a confirmed job specification.

A Product Manager often connects customer problems with business goals and technical possibilities. The work may begin with research: reviewing user feedback, speaking with customers or internal teams, studying usage patterns, and clarifying what problem needs to be solved. The Product Manager then helps shape a product direction, prioritize opportunities, and explain why certain problems deserve attention.

In a data-oriented product context, it may be important to understand how information is collected, processed, presented, and used. You may be asked to consider data quality, usability, reliability, and the way a product communicates results to its users. You do not necessarily need to be a specialist in every technical area, but the role may call for curiosity, structured thinking, and the ability to work effectively with technical experts.

Delivery is another common part of product management. This can include writing requirements, defining acceptance criteria, clarifying edge cases, sequencing work, and helping a cross-functional team stay focused on intended outcomes. A Product Manager may also track whether a release is being adopted and whether it solves the customer problem it was designed to address. Ask SatSure which of these responsibilities are central to this particular position.

For a mid-senior role, employers often look for sound judgment and the ability to work with stakeholders without losing sight of user needs. That can mean explaining trade-offs, using evidence to prioritize, and adapting plans when new information emerges. Prepare examples that show how you have taken a product or feature from problem definition through delivery and evaluation.

Product Manager interview questions at SatSure

The following questions are useful practice prompts for a Product Manager interview at SatSure. They are not confirmed questions from the company. The actual interview process and topics may differ depending on the hiring team.

Product thinking and customer discovery

  1. Tell us about a product you managed. What user problem did it address, and how did you know the problem mattered?
  2. How do you identify customer needs when users give conflicting feedback?
  3. Describe a time you changed your product direction after learning something new.
  4. How would you assess whether a proposed feature is worth building?
  5. How do you distinguish a customer request from the underlying problem?

Prioritization and strategy

  1. How do you prioritize when several stakeholders consider their requests urgent?
  2. Describe a product decision you made with limited data.
  3. What factors would you consider when creating a roadmap for a product that uses complex data?
  4. How do you balance short-term delivery with longer-term product improvements?
  5. Tell us about a time you had to say no to a stakeholder. How did you explain your decision?

Collaboration and execution

  1. How do you work with engineering teams when a requirement is technically difficult or unclear?
  2. Describe a disagreement with a colleague about product scope. How did you resolve it?
  3. How do you keep a team aligned when priorities change?
  4. What information do you include in a product requirement or feature brief?
  5. How do you handle a release that is delayed or does not perform as expected?

Metrics and outcomes

  1. Which metrics would you use to evaluate a new product feature?
  2. How do you decide whether a product is delivering value to its users?
  3. Tell us about a product outcome you measured after launch.
  4. What would you do if adoption were lower than expected?
  5. How do you use qualitative feedback alongside quantitative product data?

For each question, aim to explain the situation, your role, the options you considered, your decision, and the outcome. Where possible, include measurable results. If you cannot share confidential figures, describe the direction of impact and how you assessed it.

Product Manager interview preparation at SatSure

Start by reviewing the full job description and SatSure’s current public information. Because the available listing does not specify a product area or detailed requirements, note any uncertainties and prepare questions to clarify them. Look for the users the company serves, the problems its products address, and how its technology is positioned. Keep your conclusions grounded in public information rather than assuming that every company product is part of this role.

Next, prepare a concise account of your product-management experience. Select examples that demonstrate discovery, prioritization, execution, stakeholder management, and measurement. A strong example explains more than what the team shipped: it shows why the work mattered, how you made decisions, what constraints you faced, and what changed as a result.

It can help to organize examples using a simple structure:

  • Context: What was the product or customer situation?
  • Problem: What needed to change, and for whom?
  • Approach: What research, analysis, or collaboration informed your decision?
  • Action: What did you personally do?
  • Result: What outcome followed, and how was it measured?
  • Learning: What would you do differently next time?

For product cases, make your reasoning visible. Clarify the target user, define the problem, identify assumptions, suggest ways to validate them, and explain how you would prioritize possible solutions. If the case involves data-heavy or technical products, show that you can ask useful questions without pretending to know every technical detail. Discuss how you would work with subject-matter experts and how you would make complex outputs understandable to users.

Also prepare questions for the interviewers. Ask about the product portfolio, customer segments, team composition, roadmap ownership, success measures, and the role’s immediate priorities. Since the posting does not provide salary information or a minimum experience requirement, you can also ask the recruiter about compensation range and any role-specific qualifications.

Product Manager interview tips at SatSure

Be precise about your contribution. Product work is collaborative, so distinguish your decisions and actions from the team’s overall work. Explain how you influenced the result while giving credit to collaborators.

Connect decisions to evidence. Describe the customer interviews, usage data, research, operational feedback, or technical input that informed your choices. If evidence was limited, explain how you handled uncertainty and what you would validate next.

Show how you prioritize. Avoid saying that every request is important. Explain the criteria you use—such as user impact, strategic fit, effort, risk, or expected outcomes—and how you communicate trade-offs.

Demonstrate clear communication. A Product Manager must often explain the same product decision to different audiences. Practice describing a technical or data-related concept in plain language, then explain what additional detail an engineering or data team might need.

Use outcomes, not just outputs. Shipping a feature is an output; improving a user’s ability to complete a task or make a decision is an outcome. Share both where possible, and explain how you measured success.

Clarify the role rather than guessing. The listing confirms a full-time, mid-senior Product Manager position in Bengaluru but does not provide a detailed scope. Use the interview to learn what the team needs, how success is defined, and what experience is most relevant.

A thoughtful, evidence-based approach will help you present yourself clearly for a Product Manager at SatSure opportunity and assess whether the role matches your experience, interests, and career goals.