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As a Product Manager , youll own the entire product lifecycle, from innovation and design to execution. Youll serve as the strategic bridge between R&D and our cross-functional partners in Sales, Marketing, and Customer Success, ensuring our product vision translates into market-leading impact and solidifies our position as the industry leader.



What you'll do
Own the Product Lifecycle: Own your domain from initial ideation, through product development, to launch, and customer adoption. Youll act as the "CEO of your domain" ensuring every feature is built and delivered with highest quality and value to customers.
Translate Strategy into Roadmap and Backlog: Turn high-level business goals into concrete, actionable roadmaps and prioritized backlogs. Youll account for market requirements and competitive positioning, manage trade-offs and define the backlog that reflects business goals.
Partner Closely with R&D: Work closely with research and engineering teams to deliver features effectively and efficiently.
Direct Customer Validation: Proactively engage with customers and relevant stakeholders to validate planned scope and drive UX improvements throughout the product life cycle.
Drive Market Alignment & Success: Define and analyze metrics to measure product success, and work alongside Pre and Post-sales teams to ensure customer satisfaction.

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.

We are looking for a talented, ambitious Product Manager to join our team driving core product and capabilities.

As a product manager you will innovate, design, execute, lead your product and be the focal point of all product-related issues, inbound and outbound, bridging between R&D and various stakeholders in the company: sales and presales, customer success, operations, marketing among others.

Our OT/IoT Security Product Manager will lead cross-product features influencing and improving the core capabilities.


What you will do
Own your domain from ideation through product development to launch and adoption by customers.
Prioritize, manage trade-offs, and define product backlog that reflects business goals.
Work closely with research and engineering teams to deliver features effectively and efficiently.
Create detailed specifications and ensure execution of plan
Proactively engage customers and relevant stakeholders to validate planned scope and definitions throughout the product life cycle.
Drive UX improvements by understanding use cases and customer requirements.

s a Software Engineer will be critical to the companys success. You will design, build, and maintain the core infrastructure that powers the platform, enabling scalable business logic, data processing, and risk-related decision mechanisms. You will work closely with highly talented engineers to solve complex architectural challenges and deliver robust, high-scale systems.


What you'll do
Develop and maintain core company infrastructure, including search, policies, and foundational platform services
Build and operate backend systems that implement core business logic and large-scale data processing workflows
Take ownership of architectural and design challenges with a strong focus on scalability, performance, and reliability
Contribute to the design and evolution of the platform
Develop extensible libraries and utilities that accelerate development while ensuring scalability and high quality
Collaborate closely with product and other R&D teams
Help solve complex customer issues related to our platform and solutions

As a Full Stack Engineer, you will collaborate with engineering, marketing, sales and product to rapidly deliver new Products and MVPs. While maintaining the highest technical standards.
What Youll Do
Working with the strategic initiatives team
Implement end-to-end Products or MVPs. This means architecture design, implementation, testing, measuring success.
Performance optimization, accessibility, and usability
Collaborate with various stakeholders (engineering, marketing, sales, product)

We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations.
Individuals in this role are expected to have expertise and publications within research areas in the board field of machine learning. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.
Research Scientist, Central Applied Science Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on
Work towards long-term ambitious research goals, while identifying intermediate milestones
Communicate best practices in quantitative analysis to partners
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value
Publish research results in top-tier conferences and at leading journals
Actively identify new opportunities within Meta's long term roadmap for applied science contributions.

Our team is looking for a high performance Solutions Architect with an entrepreneurial driven approach. As a Solutions Architect, you will lead the advertising industry by enabling clients to realize the full potential of Meta's marketing solutions and even defining new solutions. You will work with marketing executives at companies on their industry-leading advertising initiatives, translating their business goals into an execution plan using Metas suite of cutting-edge advertising platform. This role will allow you to apply your experience for problem solving to achieving real-world marketing results at Meta scale.
Solutions Architect Responsibilities
Act as a technical consultant and subject matter expert on Meta's marketing technology solutions for the marketing organizations at some of the largest companies in the world
Guide our clients to the most optimal implementations by walking them through the technical details Meta's advertising platform and products
Work closely with sales teams to unlock and develop new opportunities by developing a comprehensive understanding of business goals and industry trends
Influence the marketing industry through technology by participating in industry conferences and presenting to executive-level audience
Understand and apply knowledge of products, technologies and business to build solutions to solve for problems at scale
Break down coding projects into tasks and partner with all applicable teams and partners to meet pre-established goals
Build relationships with team members and cross functional partners
document and share project updates and insights
influence decision-making through presentation of data-centric business topics
Participate in interviewing and on-boarding of new team members.

The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk at Meta. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of Metas risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing Metas financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for Meta's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and Meta practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations at Meta
Identify and Initiate New Business Opportunities: - Collaborate with Meta FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work.

Join our innovative team as a Product Manager specializing in technological characterizations and PRD documents. Shape the future of our cutting-edge products, collaborating with cross-functional teams and driving successful feature delivery. Your expertise in writing detailed characterizations and clear PRDs will be essential for our product development. Contribute to our strategic vision, work in an agile environment, and foster seamless collaboration with diverse teams.
Responsibilities:

Build and own payments-related products for internal teams and consumers.
Drive business growth by identifying areas where product innovation can impact conversions and retention.
Understand the product's impact on cash flows and translate business goals into a clear roadmap.
Balance qualitative and quantitative data from internal operations, business teams, and client feedback to validate hypotheses.
Conduct market research and competitive analysis to shape and position the company's payments solution and strategy.
Own the product lifecycle, including market research, user research, defining wireframes, scope, KPIs, and development processes.
Collaborate closely with R&D, product, design, sales, CX, and finance teams.
Design and plan frictionless user experiences.
Think creatively to solve complex problems.
Explain complex concepts and ideas in a simple and clear way to diverse audiences.
Demonstrate exceptional stakeholder management skills to align teams' priorities towards shared goals.
Work intensively with technical teams.
Experience in an Agile development environment.

Were looking for a Business Development Representative (BDR) focused on the European and American markets, who will operate as the driving force of our sales team, a proactive professional who identifies, develops, and qualifies opportunities, supporting the Account Executive throughout the entire sales cycle.

The BDR an active player in building strategic pipeline and revenue acceleration across defined verticals.



Responsibilities

1. Prospecting & Pipeline Generation (≈70%)

Research, identify, and reach out to potential clients according to defined ICPs within the assigned vertical.
Build prospect lists through ZoomInfo, LinkedIn Sales Navigator, and other research tools.
Conduct personalized outreach via email, LinkedIn, and phone to initiate conversations and generate interest.
Manage and maintain accurate data in HubSpot, ensuring all outreach and opportunity details are tracked.
Support the development of outbound campaigns and lead qualification criteria.
2. Sales Enablement & Deal Support (≈30%)

Prepare company briefs and background research before meetings.
Follow up with prospects after meetings, providing additional information or coordinating next steps.
Draft tailored one-pagers, proposals, and short summaries based on the clients needs.
Maintain CRM accuracy and trigger automations via HubSpot or Make.com.
Assist in the preparation of presentations and case materials for client discussions.
3. Market Learning & Vertical Expertise

Develop a strong understanding of the assigned vertical (e.g. Banks, Credit Platforms, or TravelTech).
Stay up to date on market trends, competitors, and relevant fintech innovations.
Contribute insights and findings to improve sales processes and outreach efficiency.

The Data Collection team is responsible for essential security components, including the Collector, Cyshark, and Collector Gateway. Our mission is to develop and maintain high-performance, deep packet inspection software. This critical software operates across customer sites and cloud endpoints globally, ensuring secure data acquisition from all servers. We are a Rust-focused team committed to designing scalable, production-ready systems.
Responsibilities
Develop high-performance deep packet inspection software for deployment at customer sites and cloud data endpoints.
Design and lead the development of new feature sets and architectural changes for core data collection components.
Take systems from development through to production, focusing on performance, and ensuring ongoing maintenance.
Apply expertise in Rust development to implement solutions with strict attention to system performance.

The Correlation Team, an integral part of the company platform group, focuses on developing and enhancing the core algorithms that power our company products. This team drives the development of the proprietary "Correlation" engine, which is central to the platform's patented data-related capabilities. As a Principal Software Engineer, you will lead the research, design, and implementation of cutting-edge algorithms and infrastructure for the company Platform. The role's primary mission is to strategize and execute engineering efforts to achieve high scalability and performance for the core system.
Responsibilities
Lead the end-to-end implementation of core technologies for our company products.
Conduct research, perform Proof-of-Concepts (POCs), and develop complex engineering solutions for high-scale, distributed architectures.
Drive the architectural direction and contribute best practices for backend applications, focusing on scalability and performance.
Research data-driven solutions and implement enhancements for the "Correlation" engine.

we are seeking a Senior Data Infra Engineer. You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.
Responsibilities
Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

The Senior Software Engineer will join the Correlation team within the company platform group, focusing on developing and enhancing the patented, proprietary correlation engine. This critical backend role involves leading the research, design, and implementation of algorithms and infrastructure central to the platforms high-scalability data capabilities. The teams mission is to drive innovation in cybersecurity asset management by fortifying the platform's core data intelligence.
Responsibilities
Lead the end-to-end implementation and architecture of core platform technologies, specifically the proprietary correlation engine.
Conduct hands-on research and Proofs of Concept (POCs) to solve complex engineering challenges and inform algorithm design.
Implement engineering efforts focused on achieving and maintaining high scalability and performance within the distributed backend architecture.
Establish and contribute best practices and architectural leadership to the development of backend applications.

Key Responsibilities
Identify business needs and design fast, efficient AI-based technological solutions
Manage the implementation of existing AI-based solutions
Collaborate with subject matter experts to adapt the firms existing AI-based products
Work closely with senior management and internal stakeholders, including presenting solutions and providing training on tools.