AI Product Owner

About Webflow

At Webflow, we’re building the world’s leading AI-native Digital Experience Platform as a remote-first company built on trust, transparency, and creativity. Our mission is to bring development superpowers to everyone, empowering teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable, and we’re here to build it together.

The Opportunity: AI Product Owner

We are seeking an AI Product Owner to scale safe, measurable AI adoption across Webflow by transforming high-impact workflows into repeatable, production-ready enablement. This role focuses on building AI that genuinely changes how Webflow operates, reimagining workflows, reclaiming time, and accelerating decision-making. You will work at the cutting edge of agentic AI, defining the future of work and sitting at the center of a company-wide transformation.

You will own the intake-to-delivery loop for enterprise AI enablement, capturing real problems from teams, shaping them into well-defined work, and ensuring successful adoption. This isn't just about managing a backlog; it's about building a system that helps every team work smarter. You'll collaborate with a team of AI Engineers to ship production-grade agents, partner with various departments like Finance, People, GTM, Legal, Security, and IT Ops for compliance, and work with business units to understand workflows and drive adoption.

As an AI Product Owner, you’ll …

• Run the intake-to-roadmap loop for Enterprise AI Enablement: partner with stakeholders to capture use cases, clarify scope/ownership, and shape opportunities into well-defined epics and user stories (with clear outcomes and acceptance criteria).
• Prioritize what matters most by applying the strategy’s prioritization model (top-down themes + bottom-up Business Unit needs), ensuring we build workflows that create measurable time savings and adoption—not one-off tools.
• Own execution hygiene for the backlog: keep the backlog crisp, sequenced, and “build-ready” for AI engineering, including lightweight discovery, dependency mapping, and release notes for internal users.
• Enable “Right tools for the right work” by partnering with IT Ops / Procurement / Security to support tool inventory signals, capability-to-tool guidance, and practical rollout communications that reduce tool sprawl and compliance gaps.
• Build “metrics that matter” into every initiative: define baseline + success metrics (adoption, time saved, workflow cycle time), and support quarterly impact reporting with clear, decision-ready summaries.
• Ship workflow enhancement with BU partners: support delivery of production-grade agents/workflows by keeping BU owners aligned on outcomes, readiness, and change management—so adoption sticks after launch.
• Contribute to org-wide AI fluency by partnering on enablement assets that make the compliant path the easiest path.

Requirements

About you:

• 4+ years of experience in Product (Product Owner, Product Manager, Program/Product Ops) working with cross-functional teams to deliver internal tools, platforms, or automation/workflow product.
• Working knowledge of Agile practices (Scrum/Kanban), including writing user stories, running prioritization, and supporting sprint/release ceremonies.
• Ability to partner with technical teams (AI/ML, data, engineering) and translate complexity into clear tradeoffs, decisions, and user-facing outcome.
• Experience defining success metrics and using data to inform prioritization and iteration (adoption, efficiency, cycle time, satisfaction).

You’ll thrive as an AI Product Owner if you:

• Prefer clarity over chaos: you can take ambiguous intake and turn it into a clean, prioritized plan.
• Can balance speed and craft—shipping iteratively while protecting quality, trust, and compliance expectations.
• Are energized by enablement: your work helps others do their best work (and you measure whether it worked).
• Communicate with precision and empathy across functions (Finance, People, GTM, IT, Security), and you’re comfortable saying “not yet” when the scope or risk isn’t right.
• Stay curious and open to growth — actively building fluency in emerging technologies like AI to unlock creativity, accelerate progress, and amplify impact.

Key skills/competency

• Product Ownership
• AI Enablement
• Workflow Automation
• Agile Methodologies
• Stakeholder Management
• AI/ML Product Development
• Data-Driven Prioritization
• Cross-functional Collaboration
• Internal Tools Development
• Change Management