Were looking for a Senior Data Product Manager to join our team and work at the intersection of Product / Data, technology, and business. This role is about impact – not just ownership, not just execution, but building solutions that actually get used.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
Youre hands-on and love building, not just talking
You naturally use AI, automation, or technology to solve real problems
Youre comfortable with ambiguity, fast iteration, and learning on the go
You care about ownership, outcomes, and real-world impact
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
Youre hands-on and love building, not just talking
You naturally use AI, automation, or technology to solve real problems
Youre comfortable with ambiguity, fast iteration, and learning on the go
You care about ownership, outcomes, and real-world impact
Requirements:
Someone who is:
Customer-centric. Customer problems are at your core. You don't stop until the product genuinely solves their needs.
Data-savvy. You have a strong grasp of data management principles, ecosystems, and analytics techniques, and can translate that into practical product decisions.
Independent & ownership-driven. You move fast from ideation to implementation, thrive in ambiguity, and don't wait for direction.
AI-native. You're a daily user of AI tools building prototypes with coding assistants and agentic IDEs, and passionate about applying this to accelerate product and development cycles.
Someone who has:
A strong builder mindset, with experience turning ideas into working solutions
Customer-obsessed approach, with experience in user interviews, surveys, and usability testing.
5+ years of experience as a Product Manager, building and scaling products.
Experience using GenAI for improving work processes and reducing release times
Proven experience building data products and pipelines, including defining key data points.
Strong understanding of data quality frameworks and how to apply them to drive product improvements.
Ability to independently drive projects from ideation to execution.
Background as a proven collaborator and communicator across multiple teams and disciplines.
Advantage:
Experience working in the B2B SaaS space, ideally in a sales or data-focused product environment.
Familiarity with AI-powered data applications, including the use of ML or LLMs to enhance product capabilities.
Familiarity with APIs and large-scale systems, including how data flows across platforms and products.
Someone who is:
Customer-centric. Customer problems are at your core. You don't stop until the product genuinely solves their needs.
Data-savvy. You have a strong grasp of data management principles, ecosystems, and analytics techniques, and can translate that into practical product decisions.
Independent & ownership-driven. You move fast from ideation to implementation, thrive in ambiguity, and don't wait for direction.
AI-native. You're a daily user of AI tools building prototypes with coding assistants and agentic IDEs, and passionate about applying this to accelerate product and development cycles.
Someone who has:
A strong builder mindset, with experience turning ideas into working solutions
Customer-obsessed approach, with experience in user interviews, surveys, and usability testing.
5+ years of experience as a Product Manager, building and scaling products.
Experience using GenAI for improving work processes and reducing release times
Proven experience building data products and pipelines, including defining key data points.
Strong understanding of data quality frameworks and how to apply them to drive product improvements.
Ability to independently drive projects from ideation to execution.
Background as a proven collaborator and communicator across multiple teams and disciplines.
Advantage:
Experience working in the B2B SaaS space, ideally in a sales or data-focused product environment.
Familiarity with AI-powered data applications, including the use of ML or LLMs to enhance product capabilities.
Familiarity with APIs and large-scale systems, including how data flows across platforms and products.
This position is open to all candidates.
