Growth Marketing Manager
Qdrant
Growth Marketing Manager
Qdrant
Vector database and similarity search API
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data.
As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.
As a Growth Marketing Manager, you’ll build the systems that make our marketing fast and agile. The tools and tactics in the age of AI change constantly, but what lasts is the underlying system: clean signal data, a scoring model that routes it, and reusable workflows the team can build on. You’ll own that system, using automation and AI to turn a week of work into an hour.
You’ll ownthe end-to-end demand generation engine that translates market signals and buyer intent into measurable pipeline and revenue impact. You’ll connect audience intelligence, multi-channel campaigns, lifecycle engagement, and sales activation into scalable, repeatable growth motions. You should be able to pull the data, architect a target list, generate the creative, and ship a multi-channel campaign using AI tools and systems, while ensuring every campaign, data point, and automation strengthens the broader growth engine.
The Core Growth Motion: Build reusable campaign systems: templates, automations, and workflows to spin up integrated campaigns without rebuilding from scratch each time. Run priority campaigns end to end, from targeting and messaging through multi-channel execution and pipeline accountability.
Build the Warming Engine: Architect cohort-based nurture journeys (including content-download, post-event, post-onboarding, and always-on nurture programs) that move contacts from first touch through consideration toward sales readiness, rather than sending high-intent accounts directly into cold sales outreach. Improve the new-user onboarding sequence, own the monthly newsletter, and manage the startup program.
Work at the Intersection of Data, AI, and Marketing: Use signals, scoring, AI tools, and connected workflows to identify who to target, determine the next best action, and execute campaigns efficiently. Get ahead of agent-driven discovery: make content and signals legible to the tools buyers now use to choose vendors.
Product Fluency and Technical Storytelling: develop a deep understanding of our product, its technical capabilities, use cases, and competitive differentiation. Partner with Product Marketing for relevant, value-driven campaigns.
Demand Gen Experience: 3-5+ years in demand generation, growth marketing, or lifecycle marketing, running campaigns end to end in B2B tech, ideally toward technical audiences or for open-source products.
Lifecycle Expertise: hands-on experience building, measuring, and optimizing cohort-based nurtures via email and in-app.
Builder Mindset: you're not just an operator. You build the workflows instead of relying on an existing machine, pull and shape data yourself to build lists and scoring, and you're fluent in signal and scoring tools.
Systems-Level Thinking: you execute the task in front of you while understanding how each campaign, workflow, and data point feeds the broader growth engine.
Technical Workflow Fluency: you're familiar with agentic approaches and think in connected tools and automated workflows, not manual steps.
Problem Solving: you work from a goal and can identify the steps and systems needed to get there.
Familiarity with tools such as Common Room, Inflection, HubSpot, Salesforce, and Amplemarket.
Experience with open-source-to-paid or product-led growth motions.
A remote-first, international team working on cutting-edge AI infrastructure.
A competitive salary with additional perks.
Flexible working hours and async-friendly culture.
High ownership and real impact.
Open-source, engineering-driven culture.
Choose your own laptop equipment.
For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.
Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist.
Come build with us!
Qdrant provides a vector database and similarity search engine delivered as an API service. It stores and searches high-dimensional vectors to help engineers build AI-powered features like image matching, duplicate detection, and text-based search or recommendations. The product runs in Rust, is cloud-native, and scales horizontally to handle growing data and traffic. Its main differentiator is offering a scalable, API-accessible vector search platform that developers can integrate into their systems, rather than building a search or matching solution from scratch. Qdrant’s goal is to help businesses deploy efficient, scalable vector similarity and search capabilities to power AI applications.
Explore more opportunities at Qdrant