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Join our Authentication Product Team to craft secure, frictionless authentication across Wix. Youll lead critical auth flows like login, signup, account recovery, MFA, SSO, passkeys, and beyond - working for a diverse audience of self-creators, partners, enterprise customers, developers, and our users end‑users. Our ambition is to set the industry standard for authentication and deliver best‑in‑class security, reliability, and scale without compromising UX.

In your day-to-day, you will:

Work closely with cross-functional teams including designers, analysts, and engineers to innovate and develop new products and features on a huge scale
Collaborate with various Wix teams to create comprehensive solutions and ensure their authentication requirements are properly answered
Promote continuous improvement in the platform and product usability and functionality
Craft the vision for the Authentication Product Team and set strategic priorities to ensure the products success
Engage in user research, exploring data and market trends to continuously improve the product and identify new strategic directions

Were looking for a senior Data Product Manager to drive the strategy, architecture, and execution of the data products that power Similarweb. This role is at the core of our data innovation engine, serving multiple business units and platform products across the company. You will lead cross-functional efforts to define, deliver, and scale data assets that are foundational to the Similarweb product and its market differentiation.

This role offers a unique opportunity to lead high-scale, high-impact data products by collaborating with R&D, product, and business stakeholders to architect modular, trusted, and intelligent data systems.

We're looking for a true data enthusiast: someone passionate about translating business needs into data solutions, building strong relationships, shaping methodologies and processes, and owning complex data initiatives from end to end.

This role will report to the VP of Product Management, Data.

What Youll Do
Data Product Ownership
Own the vision, roadmap, and delivery of critical datasets that underpin platform functionality, decisioning systems, and customer-facing features.
Lead modularization of data structures to enable scalability, easier ownership distribution, and data quality improvements.
Introduce metrics for quality (completeness, coverage, freshness, accuracy) and define validation, logging, and governance frameworks.

Cross-Functional Leadership
Serve as the product voice for data across R&D, aligning platform engineers, analysts, scientists, and business teams around a common strategy.
Bridge between domain-specific product teams and platform data infrastructure, translating business needs into scalable, reusable data assets.
Define data SLAs, fallback mechanisms, enrichment strategies, and quality assurance mechanisms in partnership with data consumers.

Strategic Impact
Prioritize and plan data initiatives that support new verticals, geographies, product features, and business models.
Spearhead productization of internal datasets into revenue-generating assets for both direct sales and platform distribution.
Deeply understand the customers evolving needs and enable the data to capture them accurately and scalably.

Execution & Optimization
Write clear product specs that include technical definitions, mapping rules, edge case handling, and downstream consumption logic.
Work hands-on with Databricks, Spark, SQL, and Python to analyze datasets, test logic, or collaborate on experiments.
Identify data anomalies, misclassifications, and inconsistencies, and lead efforts to resolve them in systematic and productized ways.
Design workflows for historical tracking and versioning of datasets.

What You Bring

oin the DevEx (Developer Experience) group, which provides a wide suite of developer tools to 2000 engineers across Wix. Help us revolutionize Wix's production environment with a platform that ensures safe, reliable, and controlled changes.

Own the end-to-end product lifecycle, from ideation to launch and shape the future of Wixs safe infrastructure changes

Conduct user research and gather feedback to inform product decisions

Develop and maintain a comprehensive product roadmap, prioritizing features and functionalities based on business value and technical feasibility

Work closely with cross-functional teams to ensure smooth product delivery and timely releases

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 (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). 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 visually 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
Influence product and cross-functional teams to identify data opportunities to drive impact
Mentor team members by giving/receiving actionable feedback

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 (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). 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
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Improve logging
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
Influence product and cross-functional teams to identify data opportunities to drive impact

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

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 Scientist, Product Analytics Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Are you insatiably curious, deeply passionate about the realm of AI & Copilot, and ready to tackle complex challenges in a dynamic environment? If so, we invite you to join our team as a AI Business Solutions Engineer in Were looking for an AI Solution Engineer to join our team and lead enterprise customers on their journey into the world of Copilot 365/ Studio and Agentic AI.

In this role, you will:

Drive adoption of Copilot and Agentic AI across enterprises.
Lead hands-on engagements such as POCs, hackathons, and architecture workshops.
Help customers design and build tailored AI agents that address real business needs.
Work with AI Foundry, Azure AI, and Responsible AI to deliver secure, scalable, and innovative solutions.
This is your opportunity to be part of a pioneering team, deepen your expertise in AI, and empower customers to become truly AI-native.
Responsibilities
Drive technical sales with business and IT decision makers through demos and PoCs, influencing solution design and enabling production deployments.
Lead hands-on engagementshackathons, code-with sessions, and architecture workshopsto accelerate adoption of Microsoft Copilot tools and cloud platforms.
Build trusted relationships with developers and platform leaders, co-designing secure, scalable architectures and solutions.
Resolve technical blockers and objections, collaborating closely with engineering teams to share insights and continuously improve products.
Maintain deep expertise in AI Foundry & Application Architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI) and in cloud-native app development (APIs, containerization, microservices, event-driven architectures, Python, Java, or.NET).
Expand expertise in AI Management & Security (GenAI Ops, Sentinel, orchestrator, monitoring).
Represent Microsoft as a thought leader in developer communities and customer forums.

At the Microsoft Cloud Security team, we take immense pride in developing a diverse set of security products and services that are leaders in their respective market segments. Our innovative solutions have set new industry standards, earning global recognition safeguarding critical infrastructure at the highest scale.

Microsoft Defender for Cloud is a cloud-native application protection platform (CNAPP) designed to protect cloud-based applications running in all major cloud providers, including cloud security posture management (CSPM) that finds weak spots across cloud configuration, helps strengthen the overall security posture and identify risk, and cloud workload protection (CWP) which identifies real-time attacks and helps the SOC respond and mitigate.

Were a diverse group of talented professionals consisting of software engineers, security researchers, product managers and data scientists collaborating to develop products that secure our customers, including the biggest companies in the world.

You will work in a supportive and inclusive environment where you will learn and work alongside the best and brightest minds in the industry, Fourtune 500 customers and can make a significant impact, grow your skills and advance your career.
Analyze customer and market signals to identify customers unmet or unknown needs and market opportunities for enhancements or development of multiple feature areas.
Collaborate with others to identify the potential customer segments and investment opportunities. Evaluate tradeoffs, and prioritizes investments in consultation with cross-functional partner.
Drive product areas end-to-end within Microsoft Defender for Cloud, including building vision and strategy, define roadmap, help define business model and marketing messages and drive execution for successful results.
Work closely and build trust with customers to help direct product roadmap and improve customer experience.
Define features and own their backlog, works with Software Engineering (SWE) and design teams to align on tradeoffs, and partners with Product Marketing on the disclosure of the roadmap and outbound communication.
Drive business impact across the organization and track success criteria and performance metrics. Be data driven with ongoing analysis of usage data.
Communicate clearly about projects, risks, and accomplishments on behalf of the team.
Guide and mentor other team members.