דרושים » תוכנה » PRODUCT MANAGER

youll be developing disruptive new ways for large enterprises to build accessible web and mobile apps that work for everyone, by developing AI-enabled tools and frameworks that find, cluster, and track accessibility problems automatically, saving developers time and reducing risk.

Ready to make your impact on different products, the roadmap, and most importantly - on billions of people worldwide who experience disabilities?

Its more than a job, it's a mission.

Your Impact:

Analyze data to uncover trends, opportunities, and actionable insights.
Build dashboards and reports to support strategic decision-making.
Collaborate with cross-functional teams to solve business challenges.
Conduct research and benchmarking to support recommendations.
Present findings clearly to technical and non-technical stakeholders.

Key Responsibilities:
Drive a culture of data-informed decision-making to maximize product success and growth.
Act as the main analytical partner for your team and its key stakeholders.
Conduct in-depth analyses to reveal opportunities and shape the product roadmap.
Work with large and complex datasets to extract insights and translate them into practical recommendations for product improvements.
Build and manage dashboards and reports to monitor KPIs and communicate findings effectively.
Partner closely with product managers, designers, and engineers to identify opportunities for product optimization using data-backed insights.

Required Product Analyst, Facetune
As a Product Analyst on the Facetune team - our flagship app with millions of active users worldwide - youll play a critical role in shaping the user experience for one of the most iconic creative tools available. Youll be responsible for leveraging data to drive key product decisions, ensuring that insights are the foundation of product strategy and not just a guiding tool. Your analysis will directly influence product direction, user experience optimizations, and the success of experiments across our products.
This isnt just another back-office BI role. Data drives strategy. Youll work directly with product managers, designers, and engineers, using your analytical skills to shape key decisions, optimize user experiences, and lead experiments that have a direct impact on our product strategy and growth.
What you will be doing
Drive key product decisions by turning data into powerful insights that shape strategy
Partner with product teams to define goals, set metrics, and monitor performance
Shape product features and experiments with a data-driven perspective
Build dynamic dashboards that keep teams aligned on critical KPIs
Adapt quickly in a fast-paced environment to meet evolving needs
Act as a strategic partner to product leadership, surfacing key growth opportunities, identifying blind spots, and proactively recommending next steps
Collaborate closely with PMs, growth marketers, designers, and AI experts to bring data-driven thinking into every stage of the product lifecycle from ideation to post-launch evaluation.

Were looking for a Product Analyst to join our team and act as a central pillar between our data, our product, and our business strategy.
This isnt a role for someone who just wants to answer tickets. You will be embedded with Product Managers and Growth leaders to not only provide data but to help shape the roadmap and influence how we build, launch, and monetize our products. We are looking for an analyst with a "business partner" mindset, someone who can look at a dataset and see the commercial opportunity or the user friction point before others do.
What Youll Do
Strategic Partnership: Work alongside PMs and leadership to define success metrics for new features and long-term growth initiatives.
Full-Funnel Ownership: Design and measure KPIs across the entire user journey, from initial activation to complex monetization and retention loops.
Proactive Discovery: Conduct deep-dives to uncover hidden bottlenecks. You won't just report on what happened; you'll recommend what we should do next.
Narrative Building: Translate complex technical data into clear, "bottom-line first" narratives that drive action across the company.
Cross-Functional Support: Act as the analytical bridge, supporting multiple product domains and ensuring a consistent, data-driven approach to every decision.