---
title: 'Growth Marketing Manager (US) at Qdrant'
canonical: 'https://feeny.ai/job/growth-marketing-manager-us-qdrant-united-states-akb4njcgf07m'
type: 'job'
last_seen: '2026-10-18'
---

# Growth Marketing Manager (US) at Qdrant

- **Company:** Qdrant
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/qdrant.tech/beffc43c-384e-4528-bbdd-cab507e979fa

## Job description

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 own the 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.

## What you will own

- 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.

## Who you are

- 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.

## Why join us

- 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!

For information on how we handle your personal data, please refer to our [Recruitment Privacy Policy](https://qdrant.tech/legal/recruitment-privacy-policy/)

## #LI-REMOTE

## About Qdrant

## Company Overview
- **One-liner**: Qdrant provides an open-source, high-performance vector search engine and database built in Rust, powering AI retrieval applications.
- **Entity Type**: Private (Series B)
- **Headquarters**: Berlin, Germany
- **Founded**: 2021
- **Founders**: Andrey Vasnetsov (CTO) and Andre Zayarni (CEO)

## Core Business
- **Primary industry/industries**: Vector database software, AI infrastructure, search and retrieval.
- **Target customers**: B2B – enterprises, AI/ML teams, developers building semantic search, RAG, recommendation systems, anomaly detection, and AI agents.
- **Mission or purpose statement**: "Powering the next generation of AI applications with advanced and high-performant vector similarity search technology."

## Products & Services
- **Qdrant Cloud**: Fully managed SaaS on AWS, GCP, or Azure with auto-sharding, high availability, and native cloud inference for embeddings.
- **Qdrant Hybrid Cloud**: Bring your own Kubernetes with decoupled control and data planes for flexible on-prem or multi-cloud deployments.
- **Qdrant Private Cloud**: Air-gapped, compliant deployments for maximum data control.
- **Qdrant Edge (Beta)**: Lightweight, low-latency vector search for edge devices.
- **Core Engine**: Open-source Rust-based vector database with SIMD, custom Gridstore engine, real-time indexing, memory-efficient storage (quantization up to 64x reduction), and built-in support for dense/sparse vectors, hybrid search, multivector, and reranking (ColBERT, MMR).
- **Developer Tools**: REST and gRPC APIs, official clients (Python, JavaScript), built-in Web UI for visualization, and integration with Prometheus/Grafana/Datadog.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding of **$88.3M** across five rounds (Pre-Seed, Seed, Series A, Series B, and a venture round). Annual revenue estimated at **$1.0M**.
- **Notable Investors/Partners**: Lead investors include AVP (Series B), Spark Capital (Series A), Unusual Ventures (Seed), 42CAP (Pre-Seed). Other investors not fully named.
- **Growth Signals**: 60% headcount growth year-over-year (88 employees as of mid-2025); 30k+ GitHub stars; 60k+ community members; 30 active job postings; expansion to 23 countries; SOC2 & HIPAA compliant.

## Competitive Advantages
- **Pure Rust implementation** with SIMD and a custom storage engine (Gridstore) – no wrappers, no bolt-ons, delivering high performance and low latency.
- **Real-time indexing** – new vectors are searchable immediately without full index rebuilds.
- **Memory-efficient storage** using asymmetric, scalar, and binary quantization (up to 64x memory reduction).
- **Hybrid search** (dense + sparse) with built-in BM25, SPLADE++, miniCOIL, and ColBERT reranking.
- **Filtering during HNSW traversal** – no pre/post-filtering, high recall under complex conditions.
- **Enterprise-grade security** (RBAC, SSO/SAML/OIDC, multitenancy, private networking, air-gapped options).
- **Flexible deployment** – cloud, hybrid, private, edge, on-prem.

## Strategic Focus
- **Current priorities**: Scaling enterprise adoption of AI retrieval; deepening cloud platform capabilities (native inference, managed services); expanding edge and hybrid deployment options; improving developer experience with multivector and reranking features.
- **Direction for growth**: Becoming the go-to vector database for production-grade AI applications, from RAG agents to recommendation systems.

## Why Work Here
- **Culture highlights**: Open-source DNA with a strong engineering ethos; high-growth environment (60% YoY headcount); distributed team across 23 countries (US, Germany, Spain, France, India, UK, etc.).
- **Remote/hybrid policy**: Hybrid model for Berlin HQ (some roles listed as hybrid); many positions are posted as EMEA or remote-friendly.
- **Notable perks**: Work on cutting-edge AI infrastructure with Rust; contributing to a popular open-source project (30k+ GitHub stars); opportunities to shape a rapidly scaling product.
- **Engineering culture**: Heavy emphasis on performance and first-principles optimization; small, focused teams with high ownership (88 employees); recent VP of Engineering search signals expansion in technical leadership.
- **Active hiring**: 30 open positions across engineering, cloud infrastructure, FinOps, marketing, sales, and technical success.

## Sources
1. [Qdrant Website](https://qdrant.tech/)
2. [Qdrant Careers Page on Ashby](https://jobs.ashbyhq.com/qdrant.tech)
3. [Qdrant About Page](https://qdrant.tech/about-us/)
4. [Qdrant LinkedIn Company Page](https://www.linkedin.com/company/qdrant)
5. [Qdrant GitHub Repository](https://github.com/qdrant)

## Other roles at Qdrant

- [Marketing Designer](https://feeny.ai/job/marketing-designer-qdrant-spain-79qt8n1qfse4) — Spain
- [Senior Support Engineer (EMEA)](https://feeny.ai/job/senior-support-engineer-emea-qdrant-emea-2ps7gpzw324b) — EMEA
- [Solutions Engineer (US)](https://feeny.ai/job/solutions-engineer-us-qdrant-united-states-akhs507c4h70) — United States
- [Senior Solutions Engineer (APAC)](https://feeny.ai/job/senior-solutions-engineer-apac-qdrant-australia-z4e5n76tspv6) — Australia
- [Senior Software Engineer Platform](https://feeny.ai/job/senior-software-engineer-platform-qdrant-germany-gmr6xqfpc3vx) — Germany
- [Staff Software Engineer Platform](https://feeny.ai/job/staff-software-engineer-platform-qdrant-emea-hd8g5a1g6th2) — EMEA
- [Business Development Representative (EMEA)](https://feeny.ai/job/business-development-representative-emea-qdrant-germany-fkjzrjfsta6a) — Germany
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