Product Owner - Platform Systems

Posted 5 Days Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Artificial Intelligence • Machine Learning • Software • Industrial
The Role
Define product decisions, elicit and clarify stakeholder requirements, own epics and user stories, document complex business rules and edge cases, write comprehensive acceptance criteria, and collaborate daily with engineering, QA, and product leadership. Diagnose underlying problems behind feature requests, maintain logic through delivery, and make backlog and implementation decisions in an ambiguous, high-velocity startup environment.
Summary Generated by Built In
Role Details

We are an early-stage startup. Velocity is not a value here — it is the operating condition. Decisions get made in conversations, not documents, and the person in the room with the clearest thinking wins the argument. This role sits embedded in the engineering squad, reporting to the PM, and will frequently be the most senior product voice in a sprint.


What you will Work On
  •  Define what gets built and why — working with stakeholders to move from a business need to a product decision before a single story is written
  • Own the epic and story layer end-to-end — from the first elicitation session to the engineer picking up the ticket — and be accountable when what is shipped does not match what was intended
  • Map the business rules and edge cases for complex workflows where the requirements are conditional, stateful, or genuinely ambiguous — and document what “done” looks like before the sprint begin
  • Bring diagnosis, not just description — when a feature request is a symptom of a deeper problem, surface it to the PM with a recommended path and a point of view
  • Hold the logic through delivery — at story creation, at sprint review, at QA, and at the moment an engineer says “we had to do it differently


Requirements

Must Have

  • Proven ability to elicit requirements from stakeholders who do not always know what they want — and the judgment to distinguish a feature request from the underlying problem it is trying to solve
  •   Demonstrated track record of writing epics and stories that engineers can build from without clarification — acceptance criteria that covers the edge cases, the exceptions, and the “what happens when” scenarios before they surface in QA
  • Ability to reason through system logic and business rules independently — you can sit with a process flow, spot the gap nobody mentioned, and bring it back to the table before it becomes a bug
  • Experience working embedded in engineering squads as a daily collaborator and decision-maker — not a relay point between business and tech, but the person who owns the answer when the engineer asks “should it work this way?”
  • Comfort operating in ambiguity at speed — you have worked in high-velocity environments where the direction was not handed down, the talent bar was high, and you were part of how clarity got made

Good to Have

  • Experience working on products with non-trivial system logic — rules engines, multi-step workflows, integrations, or conditional branching where the business rules are genuinely complex
  • Background in domains where what the user needs and what the system can do are in constant tension — and you have had to negotiate that boundary in the backlog
  • Familiarity with structured delivery environments — Jira, Confluence, Miro, or equivalent — not as a credential but as evidence you have operated inside a disciplined agile squad before


Benefits
  • ZenteiQ is building India’s first STEM-native Scientific Foundation Model and a suite of products powered by it. The surface shifts as the technology evolves, the stakeholders have strong opinions about what users need, and the engineering squad is capable of building almost anything — as long as someone tells them precisely what that is.
  • If you are tired of grooming backlogs handed to you from above and want to be the person who figures out what belongs in the backlog in the first place — this is the role for you.

This is not a role for someone who treats the PM’s direction as the starting point. Here, helping define that direction is part of the job.

Location: Bengaluru, India · On-site · Jakkuru AWFIS Space VISTA PIXEL

Type: Full-Time

Experience: 3–5 Years



Skills Required

  • Proven ability to elicit requirements from stakeholders who may not know what they want and identify the underlying problem behind feature requests.
  • Demonstrated experience writing build-ready epics and user stories with comprehensive acceptance criteria covering edge cases and exceptions.
  • Ability to independently reason through system logic, business rules, process flows, and potential gaps.
  • Experience working as an embedded collaborator and decision-maker within engineering squads.
  • Comfort operating with ambiguity in high-velocity environments.
  • Experience with products involving complex system logic, rules engines, multi-step workflows, integrations, or conditional branching.
  • Experience in domains where user needs and system capabilities must be negotiated.
  • Familiarity with Jira, Confluence, Miro, or equivalent structured delivery tools.
  • Three to five years of experience.
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
40 Employees
Year Founded: 2022

What We Do

ZenteiQ is a Bengaluru-based deep-tech startup founded by IISc Bangalore faculty. It builds physics-native Scientific Foundation Models and sovereign AI infrastructure, combining scientific rigor with artificial intelligence to support research, engineering, manufacturing, energy, mobility, and broader industrial innovation. Selected under India’s IndiaAI Mission, the company develops adaptive, intelligent systems that turn scientific and engineering knowledge into actionable, production-oriented solutions.

Similar Jobs

Optum Logo Optum

Software Engineer

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
160000 Employees

Micron Technology Logo Micron Technology

Staff Engineer

Artificial Intelligence • Hardware • Information Technology • Machine Learning
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
45000 Employees

Micron Technology Logo Micron Technology

Staff Engineer

Artificial Intelligence • Hardware • Information Technology • Machine Learning
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
45000 Employees
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
205000 Employees

Similar Companies Hiring

Kepler  Thumbnail
Artificial Intelligence • Fintech • Software
New York, New York
9 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Revel.io Thumbnail
Aerospace • Hardware • Robotics • Software
US
50 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account