Senior Data & ML Product Manager at Darrow

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

02 May, 26

Salary

0.0

Posted On

01 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Data Platforms, APIs, Technical Products, Data Science, Data Engineering, Data Pipelines, Machine Learning, Analytical Skills, Communication, Collaboration, Strategic Thinking, Problem Solving, Technical Background, Infrastructure Challenges, Milestones

Industry

technology;Information and Internet

Description

You are looking for a job that will truly engage you. You have an entrepreneurial spirit and can make things happen in a fast-paced startup environment. You want to grow and be challenged, but above all you want to work towards a mission, and for your work to have meaning. We are Darrow – a fast-growing, mission-driven LegalTech startup with a mission to uncover legal wrongdoing and secure justice for impacted parties. Founded in 2020 in Tel Aviv, Israel, Darrow is revolutionizing the justice system. Our team of world-class legal experts and technologists has built an intelligence platform that uncovers egregious violations across legal domains, such as privacy and data breaches, consumer protection, securities and financial fraud, environment, and employment. We’re looking for a technically strong Product Manager to lead the evolution of our product’s data layer. In this role, you will own the roadmap for our core data infrastructure, ensuring it supports scalable growth, high-quality insights, and seamless integrations. You’ll partner closely with data scientists, data engineers, and other data teams to translate analytical and operational needs into clear product direction. You will also define the vision, strategy, and requirements for our internal and external APIs, shaping how our data is accessed, consumed, and leveraged across the organization and by external partners. This role requires someone who can balance short-term impact with long-term strategic thinking, and who excels at breaking complex data challenges into clear, incremental deliverables that create meaningful progress. Responsibilities: Own and drive the product strategy and roadmap for the core data layer and data platform capabilities. Collaborate closely with data scientists, data engineers, and cross-functional data teams to understand requirements, align priorities, and deliver impactful solutions. Define, design, and evolve our internal and external API products, ensuring they are scalable, intuitive, and aligned with business needs. Break down complex data and infrastructure challenges into clear, achievable milestones and iterative deliverables. Ensure alignment between near-term product needs and long-term architectural strategy. Work with engineering to prioritize technical investments, manage trade-offs, and maintain a healthy platform. Partner with stakeholders across Product, Engineering, Data, and Business teams to ensure consistent delivery and smooth integrations. Monitor performance, data quality, and platform usage to identify opportunities for improvement Responsibilities null Requirements 6+ years of product management experience, with strong exposure to data platforms, APIs, or technical products. Solid technical background — comfortable working with data models, APIs, architecture discussions, and complex systems. Experience working closely with data scientists and data engineers. Strong experience with data pipelines, ingestion, labeling workflows or data marketplace. Experience in ML-driven products Strong analytical skills with the ability to translate technical complexity into clear product decisions. Demonstrated ability to balance short-term priorities with long-term strategic thinking. Excellent communication and collaboration skills, especially with technical teams. Proven track record of breaking large, ambiguous problems into actionable milestones.

Responsibilities

Own and drive the product strategy and roadmap for the core data layer and data platform capabilities. Collaborate closely with data scientists, data engineers, and cross-functional data teams to deliver impactful solutions.