Senior Data Product Manager
About The Position
At Lusha, we're building for Builders, we build fast & AI-first --- so we look for Builders!
By a builder, we mean someone who turns “maybe” into “done”.
We’re 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:
- You’re hands-on and love building, not just talking
- You naturally use AI, automation, or technology to solve real problems
- You’re 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.
