GTM Growth Manager

You own the journey from reaching promising developers and teams to converting and growing them. You use product and usage data to decide where to focus, get involved in promising evaluations early, and close startup and mid-market deals. You also experiment with outbound approaches to reach new prospects, identify ways to expand existing customers, and build and test the pricing and operational systems that make the whole motion work.

What you'll do

• Carry the conversion number from signup to paid: work out which trials are real, get into the evaluation early, cut time-to-value, and remove what's blocking the purchase.
• Own the outbound motion end to end: target lists, sequencing, messaging, cadence, and the tooling. Run experiments and double down on what converts.
• Run startup and mid-market deals end to end: discovery, qualification, technical evaluation, pricing, negotiation, close.
• Own NRR: find the next use case, catch the accounts going quiet before they churn, win back the ones that left.
• Build the scoring layer: turn usage data into a ranked list, and keep the ICP current as the market moves.
• Own HubSpot, the funnel model and the monthly numbers. You keep them accurate because we make decisions from them.
• Run experiments on the self-serve tiers: what's in each plan, where the limits sit, what triggers an upgrade. Ship, measure, roll out what lifts conversion.
• Gather feedback from customer interactions so product knows what to build and marketing knows how to position.

What you'll need

• 2–5 years in a commercial role at a startup or scale-up, ideally with an AI, developer, API or infrastructure product, where you carried a number and personally owned part of a funnel.
• You've closed: you can talk about specific deals you won and lost, and what you'd do differently.
• Love data: you can build a funnel in a product analytics tool, interrogate a CRM, write a query to check a hunch, and spot when a number is lying to you.
• Experiment discipline: you can design a test, judge whether the result means anything, and say so when it doesn't.
• Comfortable with a technical buyer: you can follow a conversation about latency, benchmarks, SDK integration and model behaviour, ask useful questions, and know when to bring an engineer in.
• You sell the way developers buy: our customers evaluate before they talk to anyone and respond to evidence.
• You use AI daily as an operational tool and have opinions about where it helps and where it produces noise.
• High agency and commercial generalist: comfortable wearing several hats in a day and don't wait for someone to define the lane.

Nice to have

• You've worked in voice AI, speech or audio before.
• German language skills.