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Qdrant

Senior Product Marketing Manager (US)

Qdrant is hiring a Senior Product Marketing Manager (US) for a remote role open to applicants in United States. Level rates it ; you can apply on Qdrant.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this marketing role: the daily work is on AI products, without building the model.
  • This is listed as a remote role.
  • The posting mentions Claude, RAG and AI agents among its tools and skills.
  • Qdrant has 6 other open roles on Level.
  • Posted in the last few days.

AI in this role

claude
ragai-agents

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 Senior Product Marketing Manager, you'll join our Product Marketing team and report to our Director of Product Marketing, working day to day with DevRel, Growth, Sales, Partnerships, and Product. Most of our customers find Qdrant before we find them. An engineer runs the open-source engine, spins up a free Qdrant Cloud cluster, and ships a prototype. Your job is to make sure that story ends in a production deployment and a commercial relationship.

You'll own how Qdrant is positioned at every step of that path: the docs page, the moment a team upgrades to a paid Cloud cluster, and the enterprise deal where we compete against known competitors. More and more of that research now happens inside AI chats and coding agents, so the messaging and tools you build have to hold up there as well as on a sales call.

What You Will Own

  • The messaging for our self-serve to sales path: what a developer hears while evaluating Qdrant, what changes when they upgrade to a paid Cloud cluster, and what their engineering leader hears when the team brings us in.

  • Buyer scenarios for our main entry points, such as moving a self-hosted cluster to Qdrant Cloud, replacing a legacy keyword search engine, or adding retrieval to an AI agent. Each one ships as messaging, a proof point, and an asset that Sales and Growth can use the same week.

  • Our competitive program: comparisons, battlecards, and objection handling that stay current with every release, with each claim backed by a benchmark, a customer, or a working demo.

  • A win and loss program you design and run yourself, interviewing customers and account executives, and turning what you learn into changed messaging, pricing page copy, and product feedback.

  • The AI workflows that scale your work: Claude skills that let account executives and solutions engineers pull the right talk track, comparison, messaging, or case study without waiting for you, and a research loop that turns call notes and interviews into updated assets.

  • Launch messaging for Qdrant releases with Product, DevRel, and Growth, so every feature reaches developers through docs and community, and reaches buyers through sales.

Who You Are

  • You have 6+ years in product marketing, with at least 4 of them on a developer-facing or data infrastructure product: databases, search, APIs, cloud infrastructure, or AI and ML tooling.

  • You've owned product marketing for an enterprise-led sales motion, ideally in an open source product company. You have shaped activation and upgrade, and built the handoff into a sales-assisted deal. You can name the metrics you moved.

  • You've spent time at a start up or scale-up, where you owned a product marketing area end to end without a playbook or a team behind you.

  • You've built sales enablement that changed how a team sold, and you're comfortable on customer calls and in front of account executives.

  • You're technical enough to earn an engineer's trust: you can run a quick start, read a code sample, and explain the trade offs between keyword, vector, and hybrid search without notes.

  • You built AI tools that other people rely on, with the judgment and taste to spot when the output is wrong or not concise.

Nice to Have

  • You've worked alongside a DevRel team and know where product marketing ends and developer advocacy begins.

  • Experience with partner and cloud marketplace marketing (AWS, Google Cloud, or Azure).

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!


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#LI-REMOTE

How we rate this

Senior Product Marketing Manager (US) at Qdrant rates 67 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsClaude

Also common in marketing jobs at this level

Pay

Typical marketing job
$148k

This posting doesn't list pay. Use the typical marketing figure when pay comes up. See marketing jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. What are the limits of Claude that you've run into, and how did you work around them?
  4. Describe a typical day in a role like this one: which parts run through AI directly?
  5. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, and Claude. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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