Product Manager / Scrum Master

Responsibilities

• Own feature delivery: Own end-to-end delivery from backlog to production, accountable for the pod consistently shipping high-quality software against the Product Owner's priorities.
• Manage the backlog: Own and 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 the pod's ceremonies (sprint planning, daily stand-ups, reviews, retrospectives), protecting focus, removing impediments, and continuously improving 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): 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.

Requirements

• Experience leading delivery for B2B or enterprise SaaS products.
• Prior experience in a consulting, professional-services, or embedded-team model serving external client organizati

Benefits

Additional Information

Banyan Software is the best permanent home for software businesses that serve specialized industries, their employees, and their customers. We are on a mission to acquire, build, and grow great companies worldwide, helping them modernize through shared AI expertise and operational discipline. The Banyan Software Foundation, endowed with $100 million in Banyan stock, leverages technology to build a greener and more equitable world. Banyan is Great Place to Work Certified, a five-time Inc. 5000 honoree, and a top 10 company on the Deloitte Technology Fast 500. Founded in 2016 and headquartered in Atlanta, Banyan operates more than 100 portfolio companies across North America, the UK, EU, and APAC. Product Manager TechGrove AI Engineering Pod You are the person who makes a great engineering team feel effortless. You turn priorities into a clean backlog, protect the team's focus, remove obstacles before they become blockers, and give leadership a calm, honest view of progress and risk. You love shipping, and you measure yourself by what the team delivers. As Product Manager you own the delivery engine of an AI Engineering Pod. You are not the Product Owner: the OpCo keeps ownership of product vision and prioritization. You are accountable for turning that vision into shipped features. You own the backlog, drive the cadence, and run the pod as a high-performing, AI-native Agile team. If you want to run delivery for a small, senior team building with AI at its core, this role is for you. About the Pod A TechGrove AI Engineering Pod is a self-contained, AI-native software delivery team that we embed inside one of our Operating Companies (OpCos) to build, modernize, and ship production software. Each pod pairs senior engineering talent with agentic AI tooling such as Claude Code, plus the accelerators of Banyan's AI Application Modernization Factory, to deliver at a velocity and quality bar a traditional team cannot match. A pod is typically four to eight people, and OpCos add more pods as their ambitions grow. You will work as part of a tight, high-trust team with real ownership of what you build. Pods are delivered from Banyan's India-based TechGrove.

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