Product Manager

SourcingXPress; Bengaluru; Sur place; INR 2 400 000 - 4 200 000; Plein temps

Résumé du poste

TechGrove's AI Engineering Pod seeks a Product Manager who will own the delivery engine of the pod, translating the product vision into shipped software while protecting the team's focus. You'll drive backlog, run agile ceremonies, align stakeholders, and champion AI-native delivery with agentic tooling such as Claude Code, ensuring production-ready features and measurable progress.

With 5+ years in product management for software teams and a strong technical literacy, you will partner with

Qualifications

• 5+ years in product management for software engineering teams shipping production software.
• Deep, hands-on Agile experience (Scrum/Kanban) with ability to run ceremonies; CSM/PSM or equivalent is a plus.
• Translate vision into clear, buildable user stories with acceptance criteria.
• Technical literacy to discuss software architecture, APIs, cloud-native delivery and SDLC trade-offs.
• Hands-on familiarity with AI-assisted development tooling (Claude Code) and how it affects workflow, estimation and quality.
• Strong stakeholder management to align business and technical priorities.
• Ownership mindset in embedded, fast-moving delivery teams.

Responsabilités

• Own feature delivery: manage pod backlog from backlog to production with PO priorities.
• Manage the backlog and convert vision into ready-to-build user stories with acceptance criteria.
• Facilitate Agile ceremonies and improve throughput.
• Align stakeholders and communicate progress, risks and trade-offs.

Connaissances

Product management

Agile methodologies

Backlog management

Stakeholder management

AI fluency

Technical literacy

Ownership

Outils

Claude Code

Description du poste

Product Manager – AI Engineering Pod

TechGrove AI Engineering Pod is a self‑contained, AI‑native software delivery team embedded within one of our Operating Companies (OpCo). As the Product Manager, you own the delivery engine of the pod, turning the product vision into shipped features, while not owning the product vision itself. You protect the team’s focus, remove obstacles, and give leadership a calm, honest view of progress and risk—all while measuring success by what the team delivers.

What You Will Do

• Own feature delivery: run the pod from backlog to production, ensuring the pod consistently ships high‑quality software against the Product Owner’s priorities.
• Manage the backlog: groom the product backlog, translating the Product Owner’s vision into well‑formed, ready‑to‑build user stories with clear acceptance criteria.
• Facilitate Agile: run ceremonies (sprint planning, daily stand‑ups, reviews, retrospectives), protect focus, remove impediments, and continuously improve throughput.
• Align stakeholders: serve as the primary delivery interface between the pod and OpCo stakeholders, managing expectations and communicating progress, risks and trade‑offs.
• Champion AI‑native delivery: adapt Agile practice for a team that builds with agentic tooling (Claude Code and similar), defining how work is decomposed, estimated, reviewed and accepted when much of the build is AI‑driven.
• Drive predictability with metrics: establish and track delivery metrics (velocity, cycle time, quality) and use the data to forecast, surface risk early and drive predictable outcomes.
• Manage risk and dependencies: identify and manage cross‑team dependencies, delivery risks and blockers, escalating and resolving them to keep the pod moving.
• Uphold the definition of done: ensure features are tested, secure and production‑ready before release.

What You Bring

• Experience: 5+ years in product management, delivery management and/or Scrum Master roles for software engineering teams, with a track record of shipping production software.
• Agile mastery: deep, hands‑on command of Agile methodologies (Scrum, Kanban) and the facilitation skills to run a high‑performing delivery team; CSM/PSM or equivalent is a plus.
• Backlog and requirements: proven ability to manage a product backlog and translate vision into clear, buildable user stories and acceptance criteria.
• Technical fluency: strong technical literacy to work credibly with senior and principal engineers – software architecture, APIs, cloud‑native delivery and modern SDLC trade‑offs.
• AI fluency: hands‑on familiarity with AI‑assisted development tooling (Claude Code or similar) and a clear point of view on how agentic development changes workflow, estimation and quality practices.
• Stakeholder management: exceptional communication, with a proven ability to align business and technical stakeholders and manage competing priorities.
• Ownership and ambiguity: a proactive ownership mindset and comfort operating amid the ambiguity and rapid change of embedded, fast‑moving delivery teams.

Nice to Have

• Experience leading delivery for B2B or enterprise SaaS products.
• Prior experience in a consulting, professional‑services, or embedded‑team model serving external client organizations.
• Familiarity with application modernization or re‑platforming programs.
• Experience defining delivery metrics and reporting for executive stakeholders.

What Success Looks Like

• First 90 days: the pod has a clean, prioritised backlog, a steady cadence and clear metrics; OpCo stakeholders have a predictable, trusted view of delivery.
• First 6 months: delivery is consistent and forecastable, the team’s AI‑native ways of working are tuned and improving, and stakeholders rely on the pod to deliver.

Why TechGrove, Why Banyan

• Permanent home, long‑term thinking: Banyan acquires great software businesses and keeps them for good.
• Real ownership: you own outcomes end to end inside a small, senior team; the OpCo owns the “what”; the pod owns the “how.”
• AI‑native by default: you work every day with agentic tooling and the AI Application Modernization Factory, not as a side experiment but as the core of how we build.
• Variety with stability: pods work across a portfolio of real products and domains, so you keep learning, with the security of a permanent employer behind you.
• Growth and excellence: a Banyan Director of Engineering Excellence supports every pod with coaching, standards and continuous improvement, so your craft compounds over time.

Should You Apply?

We have written this role to be honest about what it takes. If you meet most of the above and are excited by the work, we want to hear from you. We are building diverse, inclusive teams, and we welcome applicants of every background. What matters most is the quality of your engineering, your curiosity about AI‑native development and your appetite to own outcomes.