Location: EMEA or East Coast US/Canada (Applications from outside these regions can not be considered)
Type: Full-Time Remote
Qdrant is a leading open-source vector search engine behind the worlds most advanced AI applications. Were 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.
Tasks
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.
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
What You Will Do
- Own the end-to-end product journey across onboarding activation engagement retention and expansion for Qdrant Cloud and self-serve experiences.
- Design run and evaluate product experiments (A/B multivariate holdout) using tools such as Statsig Mixpanel Amplitude or equivalent.
- Create and operationalize successful qualitative research initiatives including survey design interview pipelines and field studies.
- Partner closely with Engineering and Design to develop hypotheses validate user problems and ship features that reduce time-to-value for developers.
- Lead discovery to deeply understand user behavior barriers to adoption and opportunities for growth across different customer segments.
- Collaborate with the Growth & Marketing team Developer Relations and Sales to ensure cohesive funnel optimization and insight sharing across acquisition onboarding and monetization.
- Analyze behavioral and product analytics to understand critical funnels identify breakpoints and quantify impact.
- Drive improvements across documentation onboarding flows in-product guidance upgrade paths billing experiences and lifecycle touchpoints.
- Work alongside engineering teams to influence long-term product strategy with insights from growth experiments and user research.
- Create and maintain a data-informed roadmap for growth initiatives balancing short-term experimentation with long-term scalability.
- Communicate clearly across technical and executive audiences ensuring alignment and transparency on goals metrics and results.
Requirements
- 5 years of Product Management experience including at least 2 years focused on Growth PLG or self-serve SaaS.
- Strong technical background - experience in search vector databases machine learning or developer infrastructure is highly preferred.
- Demonstrated expertise in product experimentation experiment design statistical rigor and using analytics or experimentation tools (e.g. Statsig Mixpanel Amplitude Looker).
- Proven ability to translate complex developer workflows into intuitive product experiences.
- Experience conducting and synthesizing qualitative and quantitative user research with technical audiences (developers ML engineers data scientists).
- Strong cross-functional leadership especially partnering with Marketing Growth Engineering Design and Data/Analytics.
- Ability to think strategically and execute tactically - comfortable exploring greenfield ideas while also optimizing existing flows.
- Excellent communication skills with the ability to influence without authority across distributed technical teams.
- A growth mindset and willingness to experiment iterate quickly and learn from data.
Bonus points if youve:
- Experience as a software engineer or strong technical education in ML distributed systems or databases.
- Experience in UI/UX developer experience or product research.
Benefits
- Opportunity to work with cutting-edge open-source technology.
- Competitive salary and comprehensive benefits package.
- Collaborative and dynamic work environment.
- Opportunities for career growth and advancement.
- Be part of a rapidly growing company at the forefront of building scalable AI infrastructure.
Recruiting Agencies and Headhunters please only via 𝗵𝘁𝘁𝗽𝘀://𝗵𝗶𝗿𝗲𝗯𝘂𝗳𝗳𝗲𝗿.𝗰𝗼𝗺refqdrant
Location: EMEA or East Coast US/Canada (Applications from outside these regions can not be considered)Type: Full-Time RemoteQdrant is a leading open-source vector search engine behind the worlds most advanced AI applications. Were the engine powering semantic search RAG agents and real-time vector ...
Location: EMEA or East Coast US/Canada (Applications from outside these regions can not be considered)
Type: Full-Time Remote
Qdrant is a leading open-source vector search engine behind the worlds most advanced AI applications. Were 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.
Tasks
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.
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
What You Will Do
- Own the end-to-end product journey across onboarding activation engagement retention and expansion for Qdrant Cloud and self-serve experiences.
- Design run and evaluate product experiments (A/B multivariate holdout) using tools such as Statsig Mixpanel Amplitude or equivalent.
- Create and operationalize successful qualitative research initiatives including survey design interview pipelines and field studies.
- Partner closely with Engineering and Design to develop hypotheses validate user problems and ship features that reduce time-to-value for developers.
- Lead discovery to deeply understand user behavior barriers to adoption and opportunities for growth across different customer segments.
- Collaborate with the Growth & Marketing team Developer Relations and Sales to ensure cohesive funnel optimization and insight sharing across acquisition onboarding and monetization.
- Analyze behavioral and product analytics to understand critical funnels identify breakpoints and quantify impact.
- Drive improvements across documentation onboarding flows in-product guidance upgrade paths billing experiences and lifecycle touchpoints.
- Work alongside engineering teams to influence long-term product strategy with insights from growth experiments and user research.
- Create and maintain a data-informed roadmap for growth initiatives balancing short-term experimentation with long-term scalability.
- Communicate clearly across technical and executive audiences ensuring alignment and transparency on goals metrics and results.
Requirements
- 5 years of Product Management experience including at least 2 years focused on Growth PLG or self-serve SaaS.
- Strong technical background - experience in search vector databases machine learning or developer infrastructure is highly preferred.
- Demonstrated expertise in product experimentation experiment design statistical rigor and using analytics or experimentation tools (e.g. Statsig Mixpanel Amplitude Looker).
- Proven ability to translate complex developer workflows into intuitive product experiences.
- Experience conducting and synthesizing qualitative and quantitative user research with technical audiences (developers ML engineers data scientists).
- Strong cross-functional leadership especially partnering with Marketing Growth Engineering Design and Data/Analytics.
- Ability to think strategically and execute tactically - comfortable exploring greenfield ideas while also optimizing existing flows.
- Excellent communication skills with the ability to influence without authority across distributed technical teams.
- A growth mindset and willingness to experiment iterate quickly and learn from data.
Bonus points if youve:
- Experience as a software engineer or strong technical education in ML distributed systems or databases.
- Experience in UI/UX developer experience or product research.
Benefits
- Opportunity to work with cutting-edge open-source technology.
- Competitive salary and comprehensive benefits package.
- Collaborative and dynamic work environment.
- Opportunities for career growth and advancement.
- Be part of a rapidly growing company at the forefront of building scalable AI infrastructure.
Recruiting Agencies and Headhunters please only via 𝗵𝘁𝘁𝗽𝘀://𝗵𝗶𝗿𝗲𝗯𝘂𝗳𝗳𝗲𝗿.𝗰𝗼𝗺refqdrant
View more
View less