About the role

As a D2C Director of Product, you will be at the forefront of driving features and infrastructure capabilities that are critical to our platform -  with a particular focus on the Direct-to-Consumer (D2C) initiative. You’ll lead the end-to-end development of technically complex features, such as server-to-server integrations, backend workflows, data exchange between internal systems and external partners and user facing UI and experiences.  This role requires strong technical intuition, sensitivity to user experience details, ability to navigate documentation, and a deep understanding of how systems connect across the stack. You’ll collaborate closely with engineers, business partners and other product managers to ensure seamless alignment across teams and deliver robust, scalable solutions that support our D2C efforts and broader platform evolution.

Responsibilities

• Own and lead both backend/frontend  product features and technical platform initiatives from concept to delivery.
• Deeply understand our platform architecture, including how backend services interact with frontend applications and data systems.
• Collaborate closely with engineering, data product managers, and frontend product managers to align on product scope, milestones, and delivery plans.
• Read and interpret technical documentation (e.g., APIs, system designs) to define product specs and translate them into actionable work for engineering teams.
• Identify product opportunities by analyzing platform capabilities and gaps in technical infrastructure.
• Write clear, detailed, and technically accurate product requirements and specifications.
• Ensure high-quality execution through testing, validation, and iteration in collaboration with engineering and QA.
• Serve as the product point of contact for technical stakeholders and system integrators.
• Prioritize product work based on impact, complexity, and cross-team dependencies.
  
  

Who are you?

• A technically fluent product manager who understands systems architecture, backend services, and the logic behind APIs and data flows.
• Detail-oriented and highly attentive to UX in designing complex UI solutions.
• A structured thinker with the ability to break down complex problems and guide execution from A to Z.
• A collaborator who thrives in cross-functional settings and works well with technical and non-technical peers alike.
• A clear communicator who can translate between business needs and engineering realities.
• Comfortable working in ambiguity and charting a path forward in technically complex or undefined areas.
• Self-motivated and proactive — you don’t wait for someone else to figure it out.
• An experienced individual contributor who wants to develop into managerial role
  
  

Requirements

• 5 years of experience as a product manager or in a similar role owning frontend and or backend features.
• Team management experience 
• Strong understanding of backend & frontend  architectures, APIs, data structures, and system design.
• Experience reading and writing technical documentation and working closely with engineers.
• Proven success leading cross-functional product development for technical or infrastructure-heavy features.
• Familiarity with Agile development methodologies.
• Experience working with distributed systems, microservices, or data pipelines is a plus.
• Excellent communication and collaboration skills.
• Verbal and written proficiency in English.

We are looking for a visionary and technically versatile Data Science Manager to join the Data Science & MLE group within our DS & Analytics organization.

In this pivotal role, you will lead a hybrid team of Data Scientists and Machine Learning Engineers, acting as the bridge between cutting-edge technical innovation and high-level business strategy. You won't just be managing a team; you will be the Technical Lead defining how we solve complex problems-from predicting player behavior to optimizing marketing budgets using the latest in Generative AI.

You will partner closely with Game Directors, Product Managers, and our central analytics teams to drive value across Zynga's diverse portfolio. If you are a leader who is "bilingual" in data-possessing deep Data Science expertise to guide methodology while bringing high MLE and Engineering skills to build scalable, production-ready systems-we want to hear from you.

Key Responsibilities

• Team Leadership & Mentorship: Recruit, retain, and develop top-tier talent within the Data Science & MLE team. Foster an inclusive culture of innovation where technical rigor meets creative problem-solving.

• Technical Direction & Engineering Standards: Act as the hands-on Technical Lead for the domain. You will supervise the end-to-end development lifecycle-from research to production-enforcing high standards and MLOps to ensure our models are scalable and maintainable.

• Strategic DS & Analytics Support: Drive the development of advanced analytical frameworks to solve core business challenges. You will guide the team in applying rigorous statistical and machine learning methods to areas such as Time Series Forecasting, Causal Inference, Marketing Optimization, Root Cause Analysis, and more.

• Strategy & Collaboration: Partner with Game Directors, BI Platform PMs, and embedded analytics teams to define the data strategy and roadmap. You will ensure that our technical initiatives are directly aligned with company-wide goals and solving the right problems.

• Global Alignment: Maintain a tight collaborative network with Data Science & Analytics managers in North America, ensuring global consistency in methodologies, knowledge sharing, and joint development.

Required Qualifications

• Experience: 5–10 years of experience in data science or machine learning roles, with 3+ years of experience in people management.

• Technical Proficiency: Expert proficiency in SQL and Python. You must be capable of writing and reviewing production-grade code and have hands-on experience with cloud environments (GCP, AWS, Databricks).

• Modeling Expertise: Strong background in Classical ML, Deep Learning, and familiarity with Generative AI (LLMs, Multimodal embeddings, Langchain or like technologies).

• Engineering Mindset: Proven ability to bridge the gap between Research and Engineering. Experience deploying models to production and maintaining them is essential.

• Education: Master’s degree in Computer Science, Math, Statistics, or a related quantitative field; a PhD is strongly preferred.

Preferred Qualifications

• Experience in the mobile gaming industry or high-velocity B2C tech environments.

• Passion for gaming and experience playing various game genres.

• Familiarity with modern data platforms (e.g., Vertex AI, Cloud Run, Sage).

What You'll Need to Succeed

• Independence & Proactivity: Ability to operate in a fast-paced, dynamic environment, managing timelines and mitigating risks effectively.

• Data-Driven Storytelling: Fluent English is mandatory. You need the ability to translate complex data science concepts into clear, compelling narratives for non-technical stakeholders to influence decision-making.

• Collaborative Spirit: A willingness to work across borders and time zones, partnering effectively with teams in Tel Aviv and North America.