Senior Product Manager, Growth at Qdrant

Germany

<p><strong>Location</strong>: EMEA or East Coast US/Canada (Applications from outside these regions can not be considered)<br/><strong>Type</strong>: Full-Time – Remote</p> <p>Qdrant is a leading open-source vector search engine behind the world’s most advanced AI applications. We’re the engine powering semantic search, RAG, agents, and real-time vector pipelines at scale. Our commercial offerings include a managed cloud solution and an enterprise on-premise solution, catering to a wide range of industries and businesses seeking high-performance, scalable, and cost-effective vector search for AI projects.</p> <h2 id="tasks">Tasks</h2> <p>This role sits at the intersection of product, data, engineering, and go-to-market. You will own the product-led growth strategy for Qdrant Cloud - identifying friction points, running rapid experiments, and designing experiences that help developers succeed quickly with vector search, and AI workloads.</p> <p>You will thrive here if you bring strong technical intuition in search/ML systems, deep empathy for developers, and a bias toward data-informed decision-making and experimentation. Your work will directly shape how thousands of teams adopt Qdrant for real-time AI applications </p> <p><strong>What You Will Do</strong></p> <ul> <li>Own the end-to-end product journey across onboarding, activation, engagement, retention, and expansion for Qdrant Cloud and self-serve experiences.</li> <li>Design, run, and evaluate product experiments (A/B, multivariate, holdout) using tools such as Statsig, Mixpanel, Amplitude, or equivalent.</li> <li>Create and operationalize successful qualitative research initiatives including survey design, interview pipelines, and field studies.</li> <li>Partner closely with Engineering and Design to develop hypotheses, validate user problems, and ship features that reduce time-to-value for developers.</li> <li>Lead discovery to deeply understand user behavior, barriers to adoption, and opportunities for growth across different customer segments.</li> <li>Collaborate with the Growth &amp; Marketing team, Developer Relations, and Sales to ensure cohesive funnel optimization and insight sharing across acquisition, onboarding, and monetization.</li> <li>Analyze behavioral and product analytics to understand critical funnels, identify breakpoints, and quantify impact.</li> <li>Drive improvements across documentation, onboarding flows, in-product guidance, upgrade paths, billing experiences, and lifecycle touchpoints.</li> <li>Work alongside engineering teams to influence long-term product strategy with insights from growth experiments and user research.</li> <li>Create and maintain a data-informed roadmap for growth initiatives, balancing short-term experimentation with long-term scalability.</li> <li>Communicate clearly across technical and executive audiences, ensuring alignment and transparency on goals, metrics, and results.</li> </ul> <h2 id="requirements">Requirements</h2> <ul> <li>5+ years of Product Management experience, including at least 2 years focused on Growth, PLG, or self-serve SaaS.</li> <li>Strong technical background - experience in search, vector databases, machine learning, or developer infrastructure is highly preferred.</li> <li>Demonstrated expertise in product experimentation, experiment design, statistical rigor, and using analytics or experimentation tools (e.g., Statsig, Mixpanel, Amplitude, Looker).</li> <li>Proven ability to translate complex developer workflows into intuitive product experiences.</li> <li>Experience conducting and synthesizing qualitative and quantitative user research with technical audiences (developers, ML engineers, data scientists).</li> <li>Strong cross-functional leadership, especially partnering with Marketing, Growth Engineering, Design, and Data/Analytics.</li> <li>Ability to think strategically and execute tactically - comfortable exploring greenfield ideas while also optimizing existing flows.</li> <li>Excellent communication skills, with the ability to influence without authority across distributed, technical teams.</li> <li>A growth mindset and willingness to experiment, iterate quickly, and learn from data.</li> </ul> <p><strong>Bonus points if you’ve:</strong></p> <ul> <li>Experience as a software engineer or strong technical education in ML, distributed systems, or databases.</li> <li>Experience in UI/UX, developer experience, or product research.</li> </ul> <h2 id="benefits">Benefits</h2> <ul> <li>Opportunity to work with cutting-edge open-source technology.</li> <li>Competitive salary and comprehensive benefits package.</li> <li>Collaborative and dynamic work environment.</li> <li>Opportunities for career growth and advancement.</li> <li>Be part of a rapidly growing company at the forefront of building scalable AI infrastructure.</li> </ul> <p>Recruiting Agencies and Headhunters, please only via 𝗵𝘁𝘁𝗽𝘀://𝗵𝗶𝗿𝗲𝗯𝘂𝗳𝗳𝗲𝗿.𝗰𝗼𝗺?ref=qdrant</p>