Growth Marketing Lead
deepset
Growth Marketing Lead
deepset
Provides NLP AI tooling for enterprises
TL;DR
We're rethinking demand generation as a self-learning system, not just a set of campaigns. This hybrid role sits at the intersection of growth marketing and GTM engineering. You'll own the full enterprise pipeline funnel, building the data and AI-powered demand engine that makes it run and achieve its goals.
Why deepset
At deepset, we’re making sovereign AI accessible to every organization. With Haystack, thousands of developers build advanced AI applications, while our enterprise platform helps teams scale across use cases, users, and environments. We’re remote-first, flexible, and built on trust and ownership. You’ll work alongside strong technical talent, take on meaningful challenges, and help turn complex AI into solutions that are practical, reliable, and ready for the real world.
What you will do
Full-funnel growth ownership. Own pipeline from awareness to opportunity—across inbound and outbound—connecting Salesforce, HubSpot, LinkedIn, and other tools to power personalized journeys from prospect to customer, with clear attribution to revenue.
Systems builder. You build AI-assisted workflows for campaign creation, messaging, and segmentation including showcasing AI agents powering real GTM workflows on deepset's own platform
High-tempo experimentation & high visibility. You methodically test messaging, audiences, and channels fast across web, paid, email, social, content, and events, scaling what works into playbooks and cutting what doesn't
Cross-functional integrator. Tight feedback loops with Leadership, Sales, Product, DevRel, and RevOps; activating ICPs across developer and enterprise journeys, and implementing refinements and learnings to hit pipeline goals.
Requirements
3+ years in data-driven, AI B2B , deep tech, or developer tools marketing
Proven track record running full-funnel demand with measurable pipeline impact
Comfortable with APIs, automation tools, and data workflows (Python, Claude, Haystack)
You think in hypotheses and have the analytics chops to iterate and prove value
Deep understanding of what resonates with technical audiences and business buyers
Your tools stack: Clay, Salesforce, HubSpot, Google Analytics, LinkedIn Campaign Manager, Webflow, Salesforce, intent analytics (Reo.dev, community analytics)
Deep familiarity with ICP mapping, value-based messaging, audience targeting, and campaign optimization
Nice to have
German language skills
Open-source community experience
LLM / AI product marketing background
Early-stage or high-growth startup experience
Benefits
Remote-first setup with flexible hours & tech of your choice
30 days vacation + extra days for family sick leave
Competitive salary & stock options for every team member
Monthly sports & mental health support allowance with Oliva
Annual learning & development budget
Monthly team socials & in-person meetups
Dog-friendly Berlin HQ
About us
Founded in 2018, deepset builds open and enterprise-grade tools that help teams build AI with purpose. From Haystack, our open-source framework, to the Haystack Enterprise Platform, we give developers and organizations the building blocks to solve complex, high impact challenges with AI with full control, transparency, and sovereignty. Backed by GV and Balderton, we’re growing the world’s production AI community and customer base solving challenges too critical to get wrong.
Visit us to learn more: deepset Website | Haystack Website | GitHub | Linkedin | X deepset (Twitter) | X haystack (Twitter)
Deepset builds tools for developers to create production-ready AI and NLP systems. Its Haystack open-source Python framework lets you build pipelines for retrieval-augmented generation, intelligent document processing, and semantic search, and it is model- and vendor-agnostic with integrations to providers like OpenAI, Mistral, Anthropic, and Cohere. On top of Haystack, Haystack Enterprise Platform offers a SaaS for prototyping, deployment, monitoring, and governance with options for cloud, on-premise, or air-gapped environments. The company differentiates itself by pairing a flexible open-source framework with enterprise-grade lifecycle tools and deployment flexibility, serving industries from finance to government; its goal is to help organizations scale AI that understands large data sets.
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