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.

Qualifications

• 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

• 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.