Product Manager

Who are we?

Planck, now a part of Applied Systems Inc., is revolutionizing the insurance market with its advanced use of Generative AI (GenAI). Our state-of-the-art platform turns unstructured data into real-time, actionable insights, enabling insurance companies to make smarter, faster decisions. As the AI hub for Applied Systems, we are uniquely positioned at the forefront of the industry, driving significant advancements and delivering exceptional value to our clients.

Joining Planck means working in a dynamic startup environment, while benefiting from the resources and maturity of a market leader like Applied Systems. We foster an inclusive culture that supports professional development and work-life balance. At Planck, you'll be at the cutting edge of technology, shaping the future of insurance while advancing your career within the larger framework of Applied Systems.

What are we looking for?

We are seeking an experienced Product Manager with a strong technical orientation and a passion for data-driven problem solving. In this role, you’ll partner closely with our Data Science team to define and deliver cutting-edge data capabilities for new products. You’ll serve as the bridge between data scientists and external stakeholders—ensuring solutions align with real-world user needs and meet product requirements.

Why This Role Matters

• Core Data Impact: You’ll define how advanced data capabilities shape our new and existing products, influencing the technical direction and value proposition of our offerings.
• Strategic Collaboration: By working directly with data scientists, you’ll help convert complex research findings into product features that solve real-world business challenges.
• High Ownership & Visibility: Your insights will drive key decisions and shape our company’s trajectory in pioneering innovative insurance solutions.
  
  

• Own Data Science Capabilities: Oversee and prioritize the development of new data features and models, from concept through implementation. Collaborate with data scientists to set clear success metrics for each capability.
• Translate Needs into Requirements: Act as the point person between data science and the “outside world,” collecting insights on market and user requirements, then refining them into actionable product definitions and success criteria.
• Hands-On Collaboration: Work side-by-side with data scientists to conduct error analyses, identify technical bottlenecks, and propose solutions—continuously iterating on data outputs to ensure real-world applicability.
• Strategic Alignment: Coordinate with R&D leaders, go-to-market teams, and other stakeholders to balance technical feasibility with product timelines, ensuring data science deliverables match broader business goals.
• Problem Solving & Innovation: Brainstorm and conceptualize new data-driven solutions, guiding research and development efforts to expand our capabilities in ways that resonate with user needs.
• KPI Management: Own and track key performance indicators, primarily the on-time, requirements-aligned delivery of new data science capabilities.
  
  

• 5+ Years of hands-on Product Management experience, or supplementary experience in data science positions, ideally with data-centric or advanced analytics products (potential good fit for data scientists transitioning into product management)
• Technical Savvy & Collaboration Skills: Proven track record of working closely with data scientists, analyst and software developers or AI/ML teams.
• Strong Data Orientation: Comfortable performing error analyses and understanding model outputs; familiarity with GenAI technologies is a major plus.
• Excellent Communication (English & Hebrew): Capable of presenting complex data concepts to both technical and non-technical stakeholders.
• Ownership & Accountability: Demonstrated ability to manage complex initiatives and drive them to completion with minimal oversight.
• Process Management: Skilled at structuring chaotic or research-heavy workflows into clear, trackable processes.
• Domain Knowledge: Experience with insurance or financial products is beneficial but not mandatory.
  
  

• Team events, fully-stocked kitchen, yoga, and more
• Generous parent company option grant
• Great work-life balance:
• Hybrid work environment
• Generous amount of PTO days