דרושים » מוצר » Product Operations Manager

As a Product Manager in the Toolkit domain, you will define how millions of creators interact with generative AI. You will join a team of PMs working on the Toolkit, take end-to-end ownership of a defined product area and drive measurable impact on key engagement and retention metrics. This role requires navigating the challenges of translating evolving AI model capabilities into intuitive, high-quality user experiences. You will balance user needs, technical constraints, and business goals to scale and evolve one of Toolkits core AI capabilities. You will work closely with experienced PMs, designers, engineers, and data scientists, acting as the product leader within your team and ensuring clarity around vision, priorities, and execution.

Required Product Manager
About the Role
As a Product Manager for our Dispute Resolve solution, you will play a pivotal role in advancing our mission to help merchants manage chargebacks effectively, improve win rates, and scale their dispute operations.
Dispute Resolve enables merchants to handle disputes efficiently - from ingestion and analysis, through evidence generation and submission, to performance optimization - helping them improve win rates, reduce operational overhead, and make smarter decisions about which disputes to fight.
In this role, you will take part in shaping and driving key areas of the Dispute Resolve product, contributing to the definition, execution, and evolution of end-to-end dispute flows across multiple merchant setups, ensuring the product delivers clear value and measurable outcomes. As part of this, you will work on expanding system integrations and evolving our evidence capabilities to support scalable and effective dispute handling.

You will work closely with Engineering to deliver robust, scalable solutions, while balancing technical constraints with business priorities. You will also partner closely with Data and BI teams to drive performance analysis and continuous optimization.

In addition, you will collaborate closely with Go-to-Market (GTM) and Account Management teams to support product adoption, enable new deals, and ensure Dispute Resolve contributes to revenue growth, retention, and expansion. Your work will directly impact customer satisfaction, commercial success, and the long-term evolution of the Dispute Resolve roadmap.

What You'll Be Doing
Take part in defining, executing, and evolving end-to-end dispute management flows across different merchant setups.
Drive product strategy and execution for Dispute Resolve in close collaboration with Engineering, Product Design, Data, and BI teams.
Expand and optimize integrations with PSPs, gateways, and additional systems to enable scalable dispute ingestion and submission.
Contribute to the development and continuous improvement of our evidence capabilities, enhancing quality, coverage, and win rates across different reason codes and merchant verticals.
Translate complex dispute workflows and data challenges into scalable, intuitive product solutions that balance usability, automation, and performance.
Partner closely with GTM and Account Management teams to support product adoption, onboarding, and ongoing usage, ensuring Dispute Resolve supports growth and retention goals.
Engage directly with merchants and prospects to understand real-world workflows, validate solutions, and identify opportunities for improvement.
Contribute to backlog prioritization and roadmap execution, focusing on high-impact initiatives that improve operational efficiency and dispute performance.
Provide subject-matter expertise on dispute management, representment strategies, and product capabilities.

This role is a great fit for a team player with a can-do mindset who thrives in a collaborative environment, working closely with Engineering, Design, and GTM to align on priorities, tradeoffs, and business needs.

Responsibilities
Own the product lifecycle end-to-end from strategy and discovery through execution, launch, and iteration ensuring clarity, alignment, and communication at every stage.
Define and drive the product vision and roadmap based on market understanding and customer needs, and communicate priorities, tradeoffs, and rationale clearly to stakeholders.
Partner closely with audit and finance users to deeply understand their day-to-day workflows and pain points, and translate insights into clear problem statements, requirements, and measurable success criteria.
Collaborate tightly with Engineering and GTM teams to maintain strong day-to-day execution, rapid feedback loops, and transparent delivery updates.
Use data to evaluate product performance, identify opportunities, and continuously improve outcomes across adoption, quality, and user experience.

Were looking for an Analytics Engineer to join our team and play a key role in shaping how data drives our product and business decisions.
This role is perfect for someone who enjoys working at the intersection of data, product, and strategy. While Product Analysts focus on turning data into insights, youll focus on building the strong data foundations that make those insights possible. You wont just run queries; you will design the data architecture and own the "source of truth" tables that power our strategic decision-making.
Youll work closely with our Growth and Solutions teams, helping them move faster and smarter by making sure the data behind Generative AI, Data-as-a-Service (DaaS), and advanced product models is clear, reliable, and easy to use. Your work will have a direct impact on how we build, scale, and innovate our products.
What Youll Do
Define the Source of Truth: Take raw, complex data and transform it into clean, well-structured tables that Product Analysts and Business Leads can use for high-stakes decision-making.
Translate Strategy into Logic: Work with Product, Growth, and Solutions leads to turn abstract concepts (like "Activation," "Retention," or "Feature Adoption") into precise SQL definitions and automated datasets.
Enable High-Tech Initiatives: Partner with our AI and DaaS specialists to ensure they have the structured data foundations they need to build models and external data products.
Optimize for Usability: Ensure our data is not just "there," but easy to use. You will design the data logic that powers our most important product dashboards and growth funnels.
Maintain Data Integrity: Act as the guardian of our metrics. You will ensure that the numbers used across our product and business reports are consistent, reliable, and logical.

We are looking for a highly motivated Product Operations Manager to join our Product team. In this role, you will drive Product & R&D operations within the Platform units, throughout the entire product lifecycle. Your responsibilities will include ensuring seamless execution, working with and managing relations with cross-functional stakeholders, streamlining communications, implementing new and efficient processes, and overseeing impactful projects from initiation to completion.
What You'll Do:
Youll facilitate and oversee the units roadmap planning process, helping the teams to ensure alignment with company objectives.
Youll be proactive and collaborate with Product Managers, engineering, and cross-functional stakeholders, ensuring high-quality delivery and execution of key initiatives, new products, and features.
Youll oversee and manage quality assurance, cross-functional and internal dependencies, and risk management.
Youll help the teams to make data-driven decisions, track success metrics to ensure alignment with business goals and bring impactful results .
Youll act as the central point of contact for all stakeholders, fostering alignment and transparency, and help to enable other teams to drive growth, expansion and adoption of new and existing products.
Youll analyze and optimize workflows, streamlining product and development processes to help scale efficiently while remaining agile and impact-focused.
Youll lead and facilitate high-impact, complex projects from start to completion, removing blockers and demonstrating a proactive problem-solving approach.

As a Product Manager, you will own a product domain and play a key role in defining its vision, strategy, and execution. Youll work with engineering, data science, security, and go-to-market teams to build impactful solutions that drive our companys mission forward.
This role is broad and flexible, welcoming candidates from various backgrounds who have experience building scalable SaaS products, cloud-based platforms, security tools, or data-driven applications. We want to hear from you whether your expertise lies in product strategy, system architecture, API development, cloud security, AI/ML, or enterprise SaaS.
What Youll Do
Define and execute product strategy, ensuring alignment with customer needs and business goals.
Work closely with engineering teams to develop technical solutions that are scalable, secure, and easy to use.
Collaborate with cross-functional teams, including R&D, UI/UX, Sales, Marketing, and Customer Success, to bring features from concept to launch.
Translate complex technical challenges into product requirements and user-friendly solutions.
Own the product roadmap, prioritize features, and drive execution while balancing speed and quality.
Lead go-to-market efforts, ensuring successful adoption, engagement, and impact.
Stay ahead of industry trends in cloud computing, data security, and AI-driven automation to inform future product direction.
Use data and customer insights to continuously optimize and improve the product experience.

We are seeking an experienced Product Manager - Decisioning (Risk Management) to own and evolve risk decisioning products. This role partners closely with ML Strategists, Engineering Leads and business stakeholders across our Card, BNPL, and emerging product products.

You will be responsible for defining and executing the product strategy that determines who we approve, on what terms, and at what expected loss, ensuring alignment with risk portfolio, regulatory requirements, and long-term unit economics. Transitioning from product-specific silos to a generic, high-velocity engine. This role requires strong judgment, deep analytical thinking, and the ability to translate complex risk logicinto scalable, explainable platforms.

Risk Strategy & Decisioning Ownership

Define and drive the product vision, strategy, and roadmap for Sunbits generic risk and credit decisioning systems. Translate business goals into clear, measurable product behavior across underwriting, pricing, limits, and lifecycle decisions, ensuring the platform can support diverse product lines without rebuilding core logic

Credit & Risk Decisioning Systems

Own the end-to-end decisioning platform (new product) , including real-time and lifecycle risk decisions, policy frameworks (rules and models), risk signal ingestion, persistence layers, and decisioning logic. Ensure the infrastructure is consistent, explainable, and scalable across multiple verticals.

Cross-Functional Partnership

Act as the glue in the "Decisioning Triangle," partnering with ML Leads and Engineer Leads to operationalize underwriting policies, while taking into account the trade-offs between approval rates, loss, revenue, and customer experience. Partner and balance competing requirements from various business owners (Heads of Card, BNPL, etc.) as well as Compliance, Legal, and Operations to ensure high-quality execution and regulatory integrity.

Hands-On Product Management

Act as a hands-on product manager for key initiatives, owning the full product lifecycle from discovery and definition through launch, iteration, and performance monitoring. Use data and experimentation to inform decisions and continuously improve outcomes. Identify and remove bottlenecks in the underwriting flow to drive toward high-automation and speed-to-market.

Risk Metrics & Business Outcomes

Own and drive core risk KPIs, including loss rate, performance, approval rates and customer friction introduced by risk controls. Ensure product decisions directly impact and improve business performance.

Lifecycle Risk Management

Treat risk as a continuous lifecycle by owning initial underwriting, line management, eligibility changes and early warning signals.

we are looking for a Principal Product Manager .
Responsibilities:
This Individual contributor role will require you to work across multiple teams with focus on following responsibilities:
Customer focus: In this role, the Product Manager will work with internal and external customers on understanding/anticipating their needs and identify differentiated integration & innovation opportunities to solve the problems and delight the customers.
Product Definition: The Product manager will convert customer requirements into crisp, prioritized product roadmap that bring intuitive, efficient experiences for the admin and security persona, The PM will own the backlog, specifications with clear objectives and key results to measure uccess.
Collaboration: The Product Manager will identify and own problems and collaborate with partner teams to solve them. The PM will be expected to create an inclusive environment that brings a diverse set of ideas to the table to deliver innovative, high quality, timely solutions to the problems.
Technical Excellence: The Product Manager is responsible for working with engineering ensuring that the product truth is grounded in technical excellence. The PM will be expected to continuously identify opportunities for leveraging automation and AI at scale to help meet/exceed the scale, performance, security, reliability, operational efficiency goals for the service and business.
Data Driven Decisions: The Product Manager will be responsible for defining KPIs, ensuring every aspect of the service is instrumented and delve deep into the data to identify key insights and drive decisions based on them.

Join our Premium Services team, where we own our core revenue-generating products: Premium Plans, Domains, and Google Workspace. Were looking for a strategic, data-driven, and entrepreneurial Product Manager to drive impact at scale.
In this role, you will:
Own the full business lifecycle of one of our key premium services - from vision and strategy to execution and performance
Act as the domain expert, mastering all relevant data, user behavior, and business KPIs to identify growth opportunities and improve customer experience
Craft a bold product vision and translate it into a clear, outcome-driven roadmap aligned with company goals
Stay ahead of market trends, evolving customer needs, and new technologies (especially AI) to ensure we stay competitive and innovative
Collaborate with engineering, design, marketing, finance, and customer success teams to bring impactful products to life
Embrace an entrepreneurial mindset - take ownership, move fast, and lead cross-functional initiatives with autonomy and accountability.

The marketing world is undergoing its biggest shift in a decade. Discovery is no longer just "search"-it's increasingly mediated by AI. Users are asking questions in ChatGPT, Perplexity, and Google AI Overviews, and the traditional "search → click → website" funnel is fragmenting. This shift has created a new discipline: Generative Engine Optimization (GEO) and AI Engine Optimization (AEO).
we are uniquely positioned to lead this space. We have proprietary data that reveals not just what AI shows users, but what users actually do next-which channels they visit, where demand flows, and how brands win (or leak) visibility. Our mission is to help marketers understand their visibility in AI platforms, connect that visibility to downstream business outcomes, and take action to improve.
The Impact of This Role
As a Product Manager for our GenAI team*, you will own the data backbone of Gen AI Intelligence. You'll need to be sharp on how to combine, utilize, and analyze diverse data sources** to answer the questions our customers need answered.
You'll work at the intersection of our Data Science team, Data Engineering team, and Platform team-turning raw data assets into user-facing products. But building the right products requires understanding the domain: you'll dig into SEO/GEO workflows, spend time with customers and design partners, and learn how marketing teams actually operate. The goal is to let user context drive your data decisions.
Your core mandate:
Own a product area end-to-end within Gen AI Intelligence-from the underlying data and pipelines, through the user-facing experiences, to how customers extract value via APIs and integrations.
Define what data we need, how we structure it, and how we expose it to users and downstream systems
Deeply understand user workflows and jobs-to-be-done to identify the highest-leverage data solutions
Partner with Data Science to translate models and extractions into usable, reliable data pipelines
Ensure data quality, coverage, and governance across our Gen AI data estate
Drive product development end-to-end: from discovery through definition, prototyping, design, development, and deployment-with continuous iteration
Collaborate across a multi-disciplinary team: data scientists, data engineers, full-stack developers, UX designers, product marketers, and business stakeholders.
What you'll do day-to-day
Obsess over user context: Understand how SEO practitioners, content marketers, and marketing leaders actually work-what questions they're trying to answer, what data would unlock value, and where current solutions fall short
Define data products end-to-end: From discovery through definition, schema design, pipeline development, and delivery-ensuring consistent quality and velocity
Connect data to user outcomes: Work closely with product teams that consume your data (reporting UX, recommendations, APIs) to ensure the data products actually solve user problems
Partner deeply with Data Science and Engineering: Translate DS models into production-ready data products; define requirements for data engineering pipelines; prioritize platform investments;
Define the core metrics, datasets, reports, and insights that will be made available to our users through our SaaS platform, APIs and MCPs.
Own data quality and coverage: Define metrics for data completeness, accuracy, and freshness; build feedback loops to continuously improve
Make tradeoffs with evidence: Use quantitative and qualitative analysis and user research to prioritize ruthlessly-not everything can be built, so you need to know what matters most.