דרושים » מוצר » Senior Data Product Manager- Retail Intelligence

We're looking for an exceptional Senior Product Manager to help shape the future of our company's platform. You'll own strategic product areas end-to-end, partnering closely with Engineering, Design, Security Research, Data Science, and Go-to-Market teams to solve complex customer problems and bring innovative products to market.
This is a highly technical and strategic role where you'll work directly with enterprise customers, influence company priorities, and translate emerging technologies, customer insights, and market trends into product strategy. As an early member of the product organization, you'll have significant ownership and the opportunity to shape not only what we build, but how we build it.
You'll spend time with customers, dive deep into technical challenges alongside world-class engineers and researchers, and turn ambiguity into clear product direction. The technology landscape is evolving rapidly- with AI, modern applications, and new attack surfaces constantly reshaping enterprise security- and you'll help ensure our company stays ahead of what's next.
What You'll Do
Own the strategy, roadmap, and execution for key product areas across the company platform.
Define product vision and long-term direction while balancing customer needs, technical complexity, and business priorities.
Lead cross-functional teams through the full product lifecycle, from discovery and definition to launch and iteration.
Partner closely with Engineering, Design, Security Research, and Data Science to build innovative, customer-centric products.
Engage directly with enterprise customers to deeply understand their challenges and validate product direction.
Translate customer insights, product analytics, competitive intelligence, and emerging technologies into product strategy.
Prioritize opportunities, make informed tradeoffs, and drive alignment across teams.
Work closely with Product Marketing, Sales, Customer Success, and Leadership to successfully launch and scale new capabilities.
Define success metrics, measure outcomes, and continuously improve the customer experience.
Communicate product strategy, priorities, and progress with clarity across the organization.

We are looking for an experienced Data Product Manager with a strong Data Science and Analytics background to own and lead data driven solutions.
In this role, you will define and drive the vision, strategy, and execution of data and analytics products that support our Marketing, Growth, and Acquisition teams. You will operate at the intersection of business, analytics, data science, and AI, translating marketing challenges and business questions into scalable data products, clear KPIs, and measurement frameworks that improve acquisition efficiency, ROI, and long-term revenue growth.
You will lead cross-departmental initiatives, partner closely with Marketing leaders, Data Scientists, Data Engineers, Analytics teams, and Product Managers, and ensure that advanced modeling, analytics, and AI capabilities are deeply embedded into day-to-day marketing decision-making.
Key Responsibilities
Marketing Data Product Ownership
Own the vision, roadmap, and delivery of Marketing Data Science and Analytics products
Align initiatives with business goals such as acquisition efficiency, ROI optimization, revenue growth, and funnel performance.
Act as the single point of ownership for marketing-related data, analytics, and data science products across teams.
Define data requirements, metrics, and success criteria for new initiatives, including identifying gaps in existing data.
Collaborate with Data Engineers and Analytics Engineers to design scalable data pipelines, data models, and semantic layers that support analytics, experimentation, and advanced modeling.
Prioritize initiatives based on business impact, scalability, data maturity, and clarity of success metrics.
Business Analytics, Data Science & AI-Driven Marketing Optimization
Define and own the business logic behind marketing KPIs, ensuring clear, consistent, and trusted metrics across teams.
Work closely with stakeholders to understand what needs to be measured, why and how.
Lead data science, analytics, and AI initiatives that optimize marketing performance
Own and evolve core marketing models including attribution, MMM, LTV prediction.
Define success metrics and measurement frameworks for models, experiments, and AI-driven decisions.
Drive experimentation frameworks (A/B tests, geo-experiments, uplift modeling) to continuously improve performance and decision quality.
Design and deploy AI-powered and agentic solutions to automate and scale marketing workflows such as budget allocation, campaign optimization, and creative testing.
Ensure solutions are production-ready, measurable, explainable, and actionable for business stakeholders.
Translate complex model outputs into clear, trusted insights for business users.

As a Senior Product Manager at our company, you will sit at the intersection of data science, engineering, and product, translating complex ML and causal inference capabilities into a product our customers love. You will work hand-in-hand with our data science and the engineering teams to shape how models are designed, evaluated, and delivered into production.
Own a significant part of the product roadmap for our value measurement platform, with a focus on data science driven features (causal inference, incrementality modeling, attribution, and media mix optimization) and customer onboarding.
Partner closely with data scientists from problem framing through experimentation, model validation, and productization, youll be expected to critically read model specs, challenge assumptions, and help prioritize research directions based on customer impact
Define success metrics and evaluation frameworks for ML models alongside the DS team, balancing statistical rigor with business usability
Own the UX of data-heavy features: collaborate with designers and data scientists to turn complex model outputs into intuitive user flows, clear visualizations, and dashboards that customers can actually act on
Design and prioritize dashboards, reports, and in-product analytics, defining what metrics to surface, how to visualize uncertainty and causal results, and how to make insights discoverable without overwhelming the user
Run user research and customer interviews to validate both the analytical value and the usability of features, and onboarding integration; translate findings into concrete design and product improvements
Translate customer problems into well-scoped technical and design requirements; translate model outputs and methodology into clear value propositions for customers
Prepare the implementation of features and support engineering, design, and DS teams through design reviews, QA, and launch, including writing acceptance criteria that account for model behavior, edge cases, data quality, and UX states (empty, loading, partial data, error)
Ensure data integrity through testing, acceptance tests, and ongoing monitoring across our diverse range of data products
Work with clients and internal stakeholders to understand business goals, identify relevant KPIs, and feed those insights back into the product, modeling, and dashboarding roadmap
Oversee end-to-end data flow and engineering processes, collaborating with ML, data, and engineering teams to ensure efficient and accurate operation during critical phases like client onboarding and daily production runs
Strategically plan for missing or imperfect data, designing product behavior and UX for new client onboarding, process failures, client-specific configurations, long-term seasonality, and external signals/features
Drive experimentation: help design A/B tests, back-tests, and validation studies to assess the impact of new models, features, and UX changes.

Were looking for a Senior Product Manager to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights.

You will define and drive the roadmap that helps organizations secure their AI systems end-to-end from data flows, to model governance, to AI usage in production. You will translate customer needs into actionable requirements, guide cross-functional execution, and ensure customers realize business value quickly and consistently.

This is a high-visibility, high-impact role where you will partner closely with Engineering, Design, Data, Security, and GTM teams to build a category-defining AI Security platform.



What Youll Do:

Drive Product Strategy & Roadmap
Define and own the product vision, roadmap, and priorities for core AI security workflows.
Translate market insights, customer feedback, and company goals into clear product direction.
Lead End-to-End Product Execution
Write crisp PRDs, use cases, and UX flows that bring clarity to complex technical problems.
Partner with engineering and design to ship features rapidly and iteratively.
Partner with Customers
Work closely with enterprise customers to understand risks, workflows, and success criteria.
Lead evaluations, POCs, and adoption programs to ensure customer value realization.
Enable AI Security Outcomes
Drive the development of capabilities across data protection, AI governance, observability, and secure AI operations.
Align product decisions with emerging standards, compliance requirements, and threat models.
Collaborate with GTM teams on packaging, messaging, and enablement.
Communicate roadmap, timelines, and impact to internal and external stakeholders.

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of the core functions at our company.
This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.
You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.
If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.
What You'll Do
Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.
Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.
Design and evolve our company's data models, creating a unified language across data coming from multiple integrations and systems.
Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.
Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.
Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.
Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.
Help define the foundations of our company's data function by evaluating tools, methodologies, and best practices that will scale with the company.
Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.
Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

As a Product Manager, you will be responsible for leading the development of core product features that enhance our on-chain security solutions. You will own the product lifecycle from vision to execution, ensuring the product aligns with our overall strategy and delivers value to our customers. Youll work closely with R&D, go-to-market teams, and customers, bringing together technical expertise, market insight, and leadership skills to deliver innovative solutions that meet the needs of the rapidly evolving blockchain space.

Your Chain of Impact:

Own the Product Vision and Roadmap: Define and drive the product roadmap in collaboration with leadership and cross-functional teams, ensuring alignment with overall strategic objectives.
End-to-End Feature Ownership: Lead the ideation, development, and launch of key product features, ensuring they are delivered on time and exceed customer expectations.
Cross-Functional Collaboration: Work closely with R&D, engineering, and go-to-market teams to ensure seamless execution of product initiatives, managing trade-offs between customer needs and technical constraints.
Customer Focus: Build and maintain strong relationships with customers to deeply understand their pain points, use cases, and security needs. Leverage this understanding to inform product decisions and prioritize features that deliver the most value.
Data-Driven Decision Making: Analyze market trends, customer feedback, and competitive intelligence to make informed product decisions and identify new opportunities for innovation.
Drive Consensus and Communication: Act as the main point of contact between stakeholders, facilitating clear and effective communication across teams, including R&D, marketing, sales, and support.
Execution and Delivery: Prioritize rigorously, ensure timely delivery of product initiatives, working closely with engineering teams to track progress, manage risks, and communicate updates to stakeholders.
Stay ahead of industry trends, blockchain technologies, and security challenges, positioning as a leader in Web3 trust and security.

We are looking for an experienced and strategic Product Manager to lead a core domain within our companys Cloud Firewall portfolio. This role is central to shaping how enterprises secure cloud environments at scale across hybrid and multi-cloud infrastructures.
our companys cloud security solutions protect some of the worlds largest organizations, and our Cloud Firewall capabilities are a critical part of helping customers enforce consistent, scalable, and intelligent network security in dynamic cloud environments.
As the Product Manager for a core Cloud Firewall capability, you will own the product vision, strategy, and execution end to end - from deeply understanding customer needs, market trends, and cloud platform evolution, through defining roadmap priorities and driving delivery, to ensuring strong adoption and long-term customer value.
You will work closely with engineering, architecture, UX, research, sales, marketing, and customer-facing teams in a highly cross-functional environment. This role requires a strong product leader with proven success in Agile product development, the ability to lead complex cross-functional programs, and a demonstrated record of influencing strategy and execution across engineering, business, and customer-facing teams.
This is an opportunity to influence a strategic cloud security domain and build high-impact products that solve real customer problems in one of the most important areas of cybersecurity.
Key Responsibilities
Define and own the product strategy, vision, and roadmap for our companys Cloud Firewall capabilities, aligned with company objectives, customer needs, and market opportunities.
Lead product discovery by analyzing customer pain points, industry trends, competitor offerings, and emerging cloud security requirements across AWS, Azure, GCP, and hybrid environments.
Work closely with engineering leadership and development teams to translate strategy into execution through clear priorities, well-defined requirements, and pragmatic tradeoff decisions.
Drive product development in a proven Agile environment, including backlog management, feature prioritization, user story definition, sprint planning support, and ongoing collaboration with R&D throughout the delivery lifecycle.

We're looking for a Senior Product Manager to own one of the most strategic surfaces at our company: the space where partners build their sites and turn visitors into customers. It's a rare combination - a product used by a demanding professional audience every single day, and a wide-open opportunity to define what AI-native building and growth automation look like.
This is a high-ownership role for a PM who operates like a builder: someone who forms a sharp point of view, prototypes instead of writing decks, and has already made AI a core part of how they work. If you're energized by ambiguous, high-impact problems and want the room to shape a product from strategy to ship, this is for you.
What you'll do
Own the strategy and roadmap for your squad - grounded in company goals, data, competitive research, and a deep understanding of how partners work.
Define how AI transforms the building and growth experience: content that generates itself, messaging that personalizes at scale, and agentic flows that take multi-step work off partners' plates.
Drive the product end to end - from the core building experience partners rely on daily to the automation tools that help them grow.
Lead and inspire an empowered team of engineers, QA, and designers, alongside a technical team lead.
Set the KPIs that matter and use them to steer - adoption, engagement, and real partner outcomes.
Partner closely with stakeholders across the company, and be the clear voice of your product's strategy and progress.

We're searching for someone with approximately 5 years of experience in driving impactful solutions that cater to the unique needs of finance teams in small and medium-sized businesses.
If you are passionate about solving customers' problems and excel at collaborating closely with talented teams to deliver meaningful solutions, then this role is the perfect fit for you! Join us in transforming how finance teams work and helping businesses thrive.

What You'll Do
Own features and product development through a full life cycle (e.g., ideation, design, implementation, launch).
Engage with customers and our customer success teams to identify and prioritize our customers' problems and needs, gather feedback to iterate on existing products, and identify opportunities to drive solutions that best solve these problems while advancing our business goals.
Dive into data and conduct market research to identify trends and understand the competitive landscape to inform product development decisions.
Collaborate with cross-functional teams, including engineering, design, marketing, and sales, to drive successful product development and launches.
Create and maintain a comprehensive product roadmap, ensuring alignment with business stakeholders.
Create and maintain product documentation, including user guides and training materials.

we are looking for a Data Analyst.
As a Data Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform
What youll do:
Own the product analytics domain for key Autofleet products and strategic initiatives, with a focus on user behavior and product engagement.
Design, build, and own our product analytics infrastructure (event tracking, taxonomy, instrumentation) from the ground up, primarily using Mixpanel.
Define and maintain a clean, scalable event-tracking taxonomy in partnership with Engineering and Product.
Analyze large-scale product and behavioral datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using Mixpanel and other modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs and metrics (activation, retention, funnels, engagement), measure success, and support product decision-making.
Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
Build internal tools and processes that improve data accessibility and operational efficiency.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.