Founding Product Manager (EU/UK Based - Remote)

About Duvo

Enterprise teams still copy data between systems all day. Work gets stuck in emails, legacy UIs, and handoffs. That chaos is costly, slow, and risky.

We're a fast-moving team on a mission to end it for good. Traction is strong, and we're solving real problems for real customers – but to win, we need exceptional talent. We stay humble, do the work, and let results speak.

We're building the post-RPA Agentic Automation Platform for enterprises – a horizontal platform where AI agents execute end-to-end work across UIs and APIs with governance built in. Where copilots stop, duvo finishes the job. Business users specify the outcome; agents plan, act, request approvals on exceptions, and learn with every run.

The Role

We're looking for a Product Manager to own core parts of the Duvo platform – the durable, repeatable primitives that let AI agents execute end-to-end work for enterprises.

You'll sit close to our enterprise customers, absorb every ask and every piece of noise, and translate it into platform capabilities that scale across all customers — one product, sold many times.

This is a senior IC role, reporting directly to the Head of Product, with full ownership of your platform areas. Strategy and deep execution sit in the same seat.

What you'll do

Own core areas of the platform end-to-end, from discovery through shipped product

Translate messy, customer-specific asks into abstract, durable base entities in the platform

Build with AI and agent leverage as a default part of your product process

Sit with customers in the field to gather first-hand insight

Drive both strategy and hands-on execution, owning outcomes alongside engineering and design

Help shape the product surface as Duvo expands across industries and enterprise functions

What we're looking for

You'll be someone who:

Knows the enterprise deeply: You've been exposed to enterprise customers up close — ideally at an earlier-stage startup selling into enterprises, or inside an enterprise driving innovation projects around AI agents, automation, or related. You understand what enterprise-grade means in practice: RBAC, security reviews, on-prem constraints, privacy, and procurement quirks. No specific industry preference.

AI-native and high-agency: You've worked hands-on with AI agents, automation, or agentic workflows — you use AI in your daily work and have a clear point of view on where agent-native products are heading. We'll take agency and AI-nativeness over years of domain depth.

Has zero-to-one instincts: You've helped take a product from nothing to its first customers, or built something new inside an existing organisation.

Lives in the weeds: Strong IC who thrives on owning end-to-end cycles. You enjoy strategy, but also love deep execution work.

Translates field to product: You can sit with a customer, absorb the noise, and come back with the abstracted product primitive that scales.

Operates customer-first: The customer's voice inside the product team, and the product team's voice on the ground.

Thrives in ambiguity: You're comfortable with direct, no-nonsense communication and make progress without a playbook.

Required

Deep exposure to enterprise customers at an enterprise-focused startup, or inside an enterprise on innovation, AI agent, or automation projects

Hands-on experience with AI agents, automation, or agentic workflows

3–5+ years as a PM at a B2B product company or startup – we'll value agency and AI-nativeness over years in seat.

A track record of shipped outcomes you can point to, with metrics attached

Comfort owning both strategy and deep, hands-on execution

Some demonstrated zero-to-one experience

Nice to have

Engineering background or technical fluency

Experience building horizontal platform products — automation, integration, or developer platforms

Earlier-stage startup experience (seed to Series B)

How we work

Customer-obsessed: we solve real problems, not hypothetical ones.

Iterative by default: we ship small, learn fast, and don't get attached to yesterday's code.

AI-first leverage: we use AI to move faster and focus human time where it matters most.