Product Manager
AI in this role
Entain India is the engineering and delivery powerhouse for Entain, one of the world's leading global sports and gaming groups. Established in Hyderabad in 2001, we've grown from a small tech hub into a dynamic force, delivering cutting-edge software solutions and support services that power billions of transactions for millions of users worldwide.
Our focus on quality at scale drives us to create innovative technology that supports Entain's mission to lead the change in global sports and gaming sector. At Entain India, we make the impossible possible, togethe
As a Product Manager, you'll bring your product expertise into a new way of working. You won't just write specs and manage roadmaps — you'll define missions, validate outcomes with data, and use AI to accelerate discovery, analysis, and delivery. You'll work in a small, mission-driven cross-functional team called a pod — three functions (Product, Engineer, Quality) with high agency, shared ownership, and no hand-offs.
Reporting to the Product Leader, you'll join the Product & Technology Team. Are you ready to be part of a team that's redefining how products get built in an AI Native setup?
What You Will Do
- Define and own the pod's mission — the business outcome, the target customer, the success metrics.
- Validate ideas with data and customer insight before committing the pod to build.
- Use AI agents for discovery, competitive analysis, spec writing, and backlog health.
- Write specs that both humans and AI can parse — clear acceptance criteria, clear "why".
- Operate in continuous flow (Kanban) — prioritise ruthlessly, respect WIP limits, ship daily.
- Map dependencies and integration points across teams. Unblock the pod before it gets blocked.
- Get your hands dirty — prototype, script, or contribute code with AI assistance when it moves the mission faster.
- Understand the engineering decisions behind the product — architecture trade-offs, system constraints, deployment impact.
- Track mission KPIs in production and use outcomes to steer what comes next.
- Collaborate across pods, stakeholders, and commercial partners spanning multiple geographies.
Engineering Mindset — What We Look For
We assess every candidate across six core dimensions:
- AI Fluency — AI is the primary way we engineer. You prompt, evaluate, iterate. Manual coding is a deliberate choice, not the default.
- Cross-Functional Versatility — "That's not my area" doesn't exist. You contribute beyond your discipline, share openly, and communicate clearly across formats.
- Customer and Value Awareness — Ask "why" and "for whom" before "how". Zoom out to see the business, zoom in to trace the bug. Map dependencies before you build.
- Craft — Pride in the quality of what you create — specs, prototypes, or code with AI assistance. Clear structure, attention to detail, and a bar that applies to every artefact you ship.
- Technical Curiosity — Build a prototype and break it before reading the docs. Stay curious about how things work.
- Agency & Entrepreneurship — Don't wait for permission. Own outcomes end-to-end, make others successful, challenge the status quo.
Must Have
- Experienced Product Manager with a track record of delivering excellent digital experiences.
- Strong product strategy, discovery, and prioritisation skills — RICE, impact mapping, or equivalent.
- Ability to write clear specs and acceptance criteria that engineering and AI agents can act on.
- Data-driven decision making — comfortable with KPIs, A/B testing, analytics, and customer research.
- Proficiency with AI-assisted workflows — using AI for discovery, competitive analysis, spec writing, and validation.
- Experience managing dependencies and stakeholders across international, cross-functional teams.
- Excellent communication skills — written, verbal, and presentation — with the ability to adjust for audience.
- Experience with Jira, Confluence, and product lifecycle tooling.
- Ability to mentor other Product Managers — onboarding new PMs and supporting the growth of peers through coaching and knowledge-sharing.
Nice to Have
- Ability to write or modify code with AI assistance — prototyping, scripting, or contributing small changes directly.
- Engineering degree or technical background — able to engage confidently in architecture and system design discussions.
- Experience with agent systems, AI evaluation, or building AI-augmented product workflows.
- Background in industries with strict regulatory requirements (gaming, financial services, healthcare).
- Experience creating wireframes, prototypes, or working directly with design systems.
Additional Information
At Entain India, we offer a strong package and the support people need to make an impact. Join us, and a great compensation package is just the beginning. You can expect to receive benefits like:
- Safe home pickup and home drop.
- A regular bonus and great pension.
- 24 days annual leave.
- Extra paid leave, including wellbeing and development days.
- Life assurance and Income Protection.
- Private healthcare and wellbeing support.
- INR 3,000 per month Communication allowance.
- Up to INR 16,000 per year in Crèche expenses (children under 3).
Equal Opportunities.
If you need any reasonable adjustments at any stage of the recruitment process, please contact us and we'll support you.
We're committed to creating a diverse, equitable and inclusive workplace where everyone feels valued, respected and able to be themselves.
We're an equal opportunities employer. We welcome applications from everyone and we do not discriminate based on age, disability, gender or gender reassignment, pregnancy or maternity, race, religion or belief, sexual orientation, marriage/civil partnership, or any other basis.
We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally.
How we rate this
Product Manager at Entain rates 44 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you decide that one model's output is better than another's for a given task?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: AI Agents and AI Evaluation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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