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Lead analysis across the Base44 user journey, including how people discover Base44, what they create, whether apps get to real usage and value, and how it affects the business
Own the data lifecycle from clarifying the question to data quality and the final story; Challenge the why and how, ai and drive solutions
Set up the analytical backbone of this fast growing product by defining the business questions, establishing a coherent measurement map and reporting logic everyone can use
Identify patterns and anomalies across users, markets, and time, and translate findings into clear business implications
Enable decisions at speed by building trustworthy reporting that supports day-to-day prioritization and leadership readouts

As an AI Product Manager, you'll be at the forefront of shaping Wix's self-service experience. You'll lead the evolution of our Help Center, Help Widget, and AI Chatbot to create a seamless and consistent journey for users seeking help. This is a high-impact role, sitting at the intersection of AI, user experience, and customer success.

In your day-to-day, you will:

Lead the roadmap and strategy ensuring it aligns with the broader self-service vision
Partner closely with engineering, data science, design, and support operations to define and deliver impactful features
Understand the underlying AI and technical architecture, making smart trade-offs and challenging technical decisions when needed
Translate complex AI capabilities, including generative AI, into clear user value and measurable business outcomes

As a product manager, you'll lead the development and enhancement of tools that empower users to effectively manage their customers and build meaningful interactions. You'll collaborate with cross-functional teams to define product strategies, establish KPIs, and deliver impactful solutions that help users grow and thrive online.

In your day-to-day, you will:

Oversee the entire product lifecycle, including market research, user interviews, data analysis, wireframing, defining product scope, setting KPIs, and guiding the product from development to launch
Collaborate with experts across various disciplines to quickly deliver impactful analytics solutions that enable users to make data-driven decisions and grow their online presence
Enhance product quality by leveraging user feedback, data insights, usability testing, and other methods

WE drive the entire area of Administration, data governance, management, and protection in Fabric. That includes catalog, insights, labeling and policies, lineage, endorsement, cross tenant collaboration, metadata scanning, and more. 

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
Responsibilities
As a PM in Fabric HEaD you will:
Drive product usage and adoption
Define the product roadmap for areas you own to help meet Fabric Objectives (OKRs).
Define and drive feature specifications and work closely with ux and engineering teams to deliver against the roadmap you set.
Work closely with customers and support the delivery of customer facing documentation, blogs, videos, and representation in conferences.
Become a subject matter expert in your areas of ownership and Fabric in general.
Collaborate closely with partner teams and within Microsoft and outside of Microsoft
Drive cross team collaboration with teams in Israel and abroad.

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

We are seeking a highly skilled and experienced individual to lead our efforts in mitigating financial loss from payment fraud across Meta. This individual will manage a team of Product Managers in Israel and the US and collaborate with global leads from Financial Risk Management, Customer Integrity & Support and product teams, to ensure Meta is safeguarding its financial integrity by addressing leakage from bad actors, lost good revenue, and friction caused by efforts to manage the fraud which includes compromise and abusive payments.

Leveraging Machine Learning for Risk Management: Building financial trust and mitigating loss are crucial for driving growth within Meta's financial ecosystem. We're extensively leveraging Machine Learning (ML) to drive revenue growth by minimizing financial losses, including leakage (lost revenue due to fraud), good revenue loss (lost revenue due to reduced spending by benign users impacted by bad actors), friction (negative experiences for benign users due to false positives), and fines, while reducing compliance risks and establishing Meta as a trusted payment ecosystem.
Director of Product Management, Payments Fraud Management Responsibilities
Strategic Leadership: Lead the Payments Fraud Management team, collaborating cross-Meta to develop and execute strategies that mitigate financial loss from payment fraud. Partner with Cross Functional partners in development of the North Star of lost revenue from payment fraud, and the strategy to get there.
Drive complex strategic initiatives that impact 100+ members across multiple teams, fostering a collaborative environment to drive efficiency, alignment, and execution across the organization.
Roadmap Development: Guide teams in developing team-level roadmaps that align with the overall long-term strategy.
Cohesively present to VPs across Integrity and Monetization on behalf of the organization (in partnership with Integrity organization)
Machine Learning Architecture: Develop and implement machine learning (ML) solutions to drive revenue growth by minimizing financial losses
Collaboration and Alignment: Work closely with Integrity, Support and Monetization leadership to ensure alignment on objectives, reporting frameworks for financial loss from payments fraud, and providing regular updates on progress and challenges
Strategic thinker with a track record of developing and implementing successful short-term and long-term fraud mitigation strategies
Experience managing a team of Product Managers