Head of Platform — Agentic GTM System (FTE)

What this is about

You build and own our self-optimising GTM system, the platform that connects sales data, understands it and translates it into weekly priorities. You work as an AI software engineer: AI coding agents like Claude Code are your primary tool, not the exception. That lets you reach an engineering velocity a classic senior backend hire can’t match. Your three core levers: data analytics (raw data becomes buying signals and prioritisation), the agentic sales AI (agent pipelines for research, prioritisation, multi-channel sequences) and the feedback loops that make the system improve itself from real results.

CegTec is a GTM Engineering partner for B2B brands in the DACH region. Profitable, bootstrapped, growing. This role is the technical sister of the Head of GTM Delivery position: two senior operators with cleanly split terrain, both reporting directly to the CEO. You own system and automation, delivery owns the client programs.

Track record in our ICP

Our ICP: complex B2B in the DACH region with deal value from €15k, across several verticals (SaaS, IT services, industrial tech, renewable energy, professional services, MedTech). We expect a strong willingness to learn new topics, your own problem-solving skills and independent work in a fast-changing environment, you have already built comparable GTM infrastructure in production:

• Data analytics, you’ve turned scattered data (CRM, enrichment, web, LinkedIn) into reliable signals, scoring and prioritisation, with numbers
• Agentic AI, you’ve built production LLM and agent pipelines that do real work (tool use, RAG, evals), not demo prototypes
• Feedback loops, you’ve built systems that learn from results and get measurably better, plus stack depth: HubSpot/Salesforce, n8n and AI coding agents at production level

What you own

• System ownership, the entire self-optimising GTM system: architecture, release cadence, stability, performance. You decide what gets built and how.
• Agentic sales AI, agent pipelines and LLM-based tools that run research, prioritisation and multi-channel sequences. The heart of the product.
• Data analytics, data pipelines and models that turn CRM, enrichment, web and LinkedIn into real buying signals and weekly priorities.
• Feedback loops, the machinery that makes the system improve itself from real results: scoring, prompt and model iteration, re-ranking, evals. Self-optimising means measured, not claimed.
• AI coding stack, Claude Code, Cursor and the workflow behind them are your daily tool. You drive them at senior level and set the standard for the team.

What you explicitly do not do

Client delivery and reply triage sits with Head of GTM Delivery. New-client sales stays with the founding team. Frontend pixel pushing isn’t the focus, but you don’t shy away from fullstack pragmatism. Your terrain is AI and data engineering on the self-optimising GTM system, with sales understanding.

Who you probably are

One of these three stories fits:

• You built RevOps engineering or GTM tooling inside a B2B mid-market or Series A/B startup (SaaS, IT services, industrial tech or similar), Salesforce/HubSpot integrations, internal sales apps, outbound tooling. Now you want your own platform instead of an internal team.
• You were a sales or SDR lead who moved technical, Clay, Apify, n8n, now Claude Code. You build your own tools and notice you’re shifting market value with it.
• You were tech lead at an outbound or GTM agency and operated automation infrastructure across multiple clients in parallel. You want your own P&L and a product that belongs to you.

Requirements

• 4+ years of senior experience as a software engineer in AI, data or GTM engineering
• AI coding agents mandatory, Claude Code or similar productively in your daily coding workflow, not “tried once”
• Data analytics, SQL/Postgres, data pipelines, signal and scoring logic at production level
• Agentic AI / LLM pipelines, tool use, RAG and evals built productively, not just prompt play
• Feedback loops, you measure system quality and iterate on data, not on gut feeling
• TypeScript/Node or Python solid, Supabase/Postgres at operator level, API design in your sleep; n8n or comparable orchestration in production
• Sales and GTM understanding, you know what the system is for and which five tools get in the way of a sales day
• Brings structure to chaos, system roadmap, release cadence, documentation set up independently; you solve problems at the root

Bonus

• Experience with eval frameworks, LLM observability or experiment / A-B tooling
• Background in multi-tenant SaaS or agent architectures; experience with the HubSpot API, Instantly or LinkedIn automation APIs
• Open-source contributions or your own GTM / AI tools with real users

What we offer

Cash

• €65–75k base
• up to €20k performance bonus on platform metrics (uptime, velocity, adoption)
• €80–95k total OTE

Other

• Permanent contract with CegTec GmbH Hamburg, remote-first
• Direct reporting line to the CEO, no middle management
• Premium AI stack with no limits (Claude Code Max, Cursor, n8n, our own platform infrastructure)
• Career path: CTO or equivalent senior role within 24 months as the engineering team grows

Selection process

Four steps over 8–12 weeks: discovery call, tech walkthrough of one of your own GTM projects, live pair programming with Claude Code on a real platform task, reference checks and negotiation.

How to apply

Pitch via email to jobs@cegtec.net or via LinkedIn to Luca Ceglie. Send us a link to a GitHub repo of one of your own GTM or sales automation projects plus three sentences: which of the three stories fits, what draws you to the role, which part of our stack interests you most. No cover letters.