דרושים » מוצר » Senior Data Product Manager, Core Data

We are seeking a Senior Product Manager, specialized in Data, to develop and lead the creation of high-impact data products that drive strategic decisions and operational excellence. In this role, you will drive the productization of the companys core data assets, turning complex datasets into high-impact products. You will own the development of advanced operational planning capabilities - including forecasting, roll-forward modeling, and scenario analysis. Moreover, you will define a platform that maximizes revenues and margin by leveraging various supply and demand factors. In order to do so, you will collaborate closely with the companys leadership, Data Engineering, Analytics, Data Scientist, Operations teams, R&D, and Design.

Roles & Responsibilities:

Define product vision and strategy for data-powered solutions (e.g., forecasting, revenue and margins optimizations, price elasticity simulator).
Lead end-to-end the development of data-driven products - from discovery and scoping through execution, launch, and ongoing optimization.
You will build a tool to optimize revenues and margins based on supply and demand constraints.
Translate business goals into new product initiatives that drive revenue, efficiency, and operational excellence.
Interpret analytical and model outputs to guide product decisions.
Define clear product requirements for analytics, predictive models, segmentation tools, and data platform improvements.
Understand the companys product needs and assess market-available solutions to identify viable off-the-shelf options, providing strategic recommendations on whether to build or buy.
Partner with Data Engineering, Analytics, Data Scientist, Operations teams, R&D, and Design to design and deliver high-quality data products.
Establish KPIs, success metrics, and monitoring to measure product performance.
Support adoption and long-term value by leading rollout, stakeholder alignment, and continuous improvements.
Represent product needs in core data infrastructure initiatives.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications. Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

We are seeking a highly skilled Product Analyst to strengthen our core product analytics capabilities while also supporting rapid innovation in the B2B space. This role sits at the intersection of foundational analytics and forward-looking product discovery. You will help level up data-driven decision-making across the product organization by establishing clear, unified metrics for product success, while also partnering with a dedicated innovation squad to validate new product ideas through fast experimentation and proof-of-concepts.

This is a high-impact role for an impact-driven analyst who wants to own product decision-making end-to-end.


What Youll Do

Core Product Analytics & Adoption Insights (Primary Focus)

Act as the analytical owner of our product ecosystem, connecting the dots across teams, challenging assumptions, and calling out when data shows we are heading in the wrong direction.
Analyze and monitor holistic product health across Minute Medias product ecosystem, including adoption, engagement, retention, and usage funnels.
Develop and maintain comprehensive dashboards in BI tools such as Looker, providing product leadership with a clear, consolidated view of performance against strategic goals.
Partner closely with Product Managers to define success metrics for new features and initiatives, ensuring every launch has clear, measurable objectives.
Conduct deep-dive analysis to understand user behavior, identify usage patterns, and segment users or partners by engagement, product mix, or lifecycle stage.
Diagnose performance issues or opportunities, translating data into actionable insights and clear recommendations for product strategy and prioritization.
Innovation & Experimentation Support (Secondary Focus)

Serve as the dedicated analytics partner for a cross-functional innovation squad focused on developing and testing net-new products.
Define measurement frameworks and success metrics for experiments, pilots, and proof-of-concepts, ensuring fast learning cycles.
Analyze A/B tests and experimental results, delivering clear guidance on whether to iterate, pivot, or scale new ideas.
Collaborate with engineers and product teams to define event tracking specifications for experimental features and new products.
Provide rapid, good enough insights in a fast-paced environment, translating ambiguous questions into practical data points that keep momentum high.
Strategic Collaboration & Communication

Work cross-functionally with Product, Engineering, BI, Design, and commercial teams to align analytics with business and product goals.
Present insights and recommendations clearly and persuasively to non-technical stakeholders, influencing roadmap decisions and investment priorities.
Contribute an analytical perspective to product strategy discussions, helping teams understand not just what is happening, but why.

We are looking for a Senior Product Manager to own the Customer Support and Sales domain within our proprietary commerce platform, including its integrations with third-party tools and vendors. In this role, you will be the product owner of a critical internal SaaS system used daily with direct impact on revenue protection, customer satisfaction, and operational efficiency.
You will define the product strategy and roadmap for this domain, work closely with Senior Leadership to align on priorities and trade-offs, and partner with Customer Support, Sales, Operations, Finance, R&D, Design, and Data teams to deliver scalable solutions in a fast-moving, ambiguous environment. This is a high-ownership role and the ability to drive change across the organisation.
Roles & responsibilities:
Own the end-to-end product lifecycle for internal Customer Support and Sales tools, from discovery and user research through delivery, launch, adoption, and ongoing optimization
Understand the needs, workflows, and constraints of support and sales teams, and translate business goals such as revenue protection, efficiency, and CX improvement into a clear product strategy and measurable outcomes
Design and deliver solutions that help teams resolve customer issues faster and prevent revenue loss, including proactive cancellation prevention, smarter refund and return flows, and workflow automation
Build sales-enablement capabilities that improve conversion, upsell, and cross-sell effectiveness, and average order value
Lead cross-functional execution and change management by aligning stakeholders across Customer Support, Sales, Operations, Finance, R&D, Design, and Data, and driving adoption of new tools and processes
Evaluate and integrate third-party platforms and vendors, making informed build-vs-buy decisions with a focus on scalability, cost, and long-term maintainability
Identify opportunities to simplify complex workflows, reduce manual effort, and scale operations through better product design, automation, and data
Define success metrics, track business and operational impact, and use data and qualitative feedback to continuously prioritise and improve outcomes, with visibility to senior leadership

We are looking for a highly technical Senior Product Manager to join our rapidly growing Product team and lead a strategic initiative at the core of our evolution.

In this mission-critical role, you will own the product vision, strategy, and roadmap for a new real-time data and infrastructure layer that underpins the entire platform. Youll work within an incubator-style innovation team, partnering closely with engineering, architecture, data, and GTM teams to build scalable, reliable, low-latency systems that enable advanced customer data processing and activation.

What Youll Do:
Lead end-to-end product strategy and execution for our next-generation real-time data infrastructure.
Own problem discovery, requirements definition, and roadmap development for complex backend and data engineering capabilities.
Work closely with engineering and architecture teams to design high-scale, distributed, event-driven systems.
Translate customer, market, and internal needs into clear technical requirements and KPIs.
Drive cross-functional alignment and ensure delivery of high-quality, high-performance infrastructure components.
Champion technical excellence, data quality, and system performance throughout the product development lifecycle.
Continuously analyze industry trends, emerging technologies, and competitive solutions in the CDP, data infrastructure, and real-time analytics domains.

About our organization:
Our team is part of our companys Personalization organization, a high-performing group that leverages our companys expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers.
Job Description:
Want to be at the forefront of creating personalized search experiences, and shape the future of how millions of our company customers worldwide discover and engage with our vast product selection? We would love to talk to you!
We are seeking an industry-leading Senior Product Manager Technical, to own the vision, development, launch and continuous improvement of AI-powered features personalizing our companys search experiences (e.g., Autocomplete, Filtering, Search results, etc.); making it feel tailored to each customer's shopping needs and preferences.
As a Senior Product Manager, youll have an end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers.
Our Senior Product Managers have the freedom (and encouragement) to experiment with new possibilities, improve, invent, and innovate on behalf of our customers.
The right person has high levels of customer obsession, strong technical judgement, demonstrated ability to build scalable processes and products, and is an independent operator, skilled on working cross-teams to deliver on behalf of customers.
Key job responsibilities
Lead the vision, definition, and delivery of personalized search experiences, to drive customer engagement, loyalty, and revenue growth.
Collaborate closely with cross-functional teams, including engineering, science, product management, UX design, and business stakeholders, to define and execute a product roadmap to deliver upon these features and experiences.
Constantly make roadmap prioritization decisions. Anticipate and make tradeoffs, balancing between customer and business needs vs. technical constraints.
Work back from our customers by learning from their feedback, behavioral measurements, and other data sources to craft better experiences and ensure we are building the right features over time.
Monitor key performance indicators (KPIs) and analyze metrics to measure the impact of personalized search experiences, identify areas for improvement, and drive continuous optimization.
Conduct rigorous analysis of market trends and competitive landscapes to identify opportunities for personalization and drive product strategy.
Communicate effectively with partners and senior leadership, including both technical and non-technical audiences, to present new product ideation, product strategies, progress updates, and business recommendations to drive alignment and create a buy-in for Personalization initiatives.

We are looking for a Senior Product Manager to take a leading role within our Platform Engineering group. You will own internal and external-facing services, infrastructure, and SaaS products end-to-end - from strategy and architecture to execution and adoption. You will drive mission-critical initiatives at the heart of our companys Cloud infrastructure and business, influencing vision, operational scale, and platform reliability.
This role offers high visibility, strong strategic influence, and direct collaboration with executives, Fortune 100 customers, engineering, finance, information systems, GTM, and business stakeholders.
As a Senior Product Manager at our company you will
Drive product strategy: Identify market opportunities, define product vision, and gather customer requirements.
Own the lifecycle: Lead your product from ideation to launch, ensuring high-quality execution and alignment with customer needs.
Leverage data: Design, experiment, and iterate based on customer feedback, market research, and usage metrics.
Collaborate cross-functionally: Partner with Information Systems, Finance, Sales, Support, Marketing, and Engineering to deliver scalable and efficient platform solutions.
Build relationships: Foster trust and alignment across internal and external stakeholders to bring your vision to life.

Were seeking a Senior Data Product Manager to lead the evolution of our care intelligence platform. This role bridges data science, product, and customer value - turning our unique, real-world care data into actionable insights and scalable products.
Youll collaborate across teams - with data scientists, engineers, clinical experts, GTM, and customers - to bring new data-driven capabilities from ideation to market impact.
What Youll Do:
Own the data product roadmap from concept to launch, ensuring every initiative ties to clear customer and business value.
Work closely with the data science team to define requirements, guide model development, and validate detections and insights.
Define acceptance criteria and KPIs for AI and ML-driven features, ensuring accuracy, reliability, and clinical relevance.
Collaborate cross-functionally with engineering, product, clinical, and GTM teams to operationalize data and algorithms into usable, high-impact features.
Validate and iterate with customers, incorporating feedback to continuously improve insight quality and usability.
Identify new opportunities to leverage our proprietary data for innovative, high-value use cases.
Drive measurable outcomes by tracking post-launch adoption, accuracy, and business impact.

Join our company, where we're shaping the future of auto finance with AI. As a Product Manager for Payments, you'll be at the core of our loan servicing operations, building the critical systems that power every aspect of the lending lifecycle. You'll modernize legacy architecture, streamline complex payment workflows, and enable innovative self-service capabilities that transform how borrowers and agents interact with our platform. Your role isn't just about products; you'll directly impact our financial operations, regulatory compliance, and business scalability, with endless opportunities for growth. Come thrive in our dynamic environment, leading the evolution of payments and loan servicing in AI and machine learning for auto finance.
Key Responsibilities:
Collaborate with internal and external customers to understand the problems and develop insights, and translate those findings into new product innovations
Partner closely with engineering to drive the creation, planning, prototyping, and development of products and features in support of key product metrics and goals
Foster strong relationships with subject matter experts, analysts, data scientists, and technology teams across our company
Own, prioritize and maintain the product backlog
Analyze and articulate insights from data to inform product roadmap decisions and drive alignment across functions and senior leadership
Break down features into detailed stories and acceptance criteria that can be executed by an agile team. Find ways to deliver value incrementally
Effectively communicate to a wide business audience project status and post-launch measurement of progress
Collaborate closely with the Finance and Accounting teams on daily and month-end reporting, reconciliation processes, and ensuring accuracy across complex financial data models is a plus.

As a Senior BI Data Engineer, youll join a company where culture isnt a slogan - its our DNA.

Youll be part of a data-driven organization where every voice matters, working at the heart of our BI team to raise the bar for analytical excellence.

In this role, youll take end-to-end ownership of complex, high-impact BI initiatives, shaping how measures success, makes decisions, and scales. Your work will directly impact over 1M users worldwide, empowering B2B sales teams to unlock new revenue opportunities and drive sustainable growth.

What Youll Actually Do:

Lead the design and evolution of BI data foundations, owning key product and GTM metric definitions and data models
Build, scale, and maintain high-quality ELT pipelines and curated datasets (raw → modeled → semantic) that power dashboards and self-serve analytics
Collaborate closely with Data Scientists to operationalize machine learning use cases, including feature pipelines and analytical datasets
Take senior ownership within the BI team by mentoring peers, reviewing critical work, and promoting best practices in analytics engineering and semantic modeling
Own the performance, cost, and reliability of the data warehouse and BI layer by optimizing models, queries, and incremental processing patterns
Translate ambiguous business questions into clear, governed metrics and scalable data models, partnering with Product, RevOps/GTM, Finance, and Analytics
Establish and maintain strong data quality, observability, and monitoring practices (tests, SLAs, anomaly detection)
Drive standardization and automation across the BI development lifecycle, including version control, CI/CD, documentation, and release processes
Stay ahead of modern BI and analytics engineering trends, including AI-assisted development, and apply them pragmatically to increase trust and speed