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What youll do:
Take full ownership, from initial design to final production, empowering you to have a tangible impact throughout the entire development process.
Thrive on solving diverse and complex problems at scale, even when faced with limited clarity on the optimal solution approach. Your ability to navigate and conquer such challenges will be highly valued.
Collaborate closely with Product Managers, Analysts, Data Scientists, and Software Engineers, working together to deliver exceptional value to our customers. Your contributions will directly contribute to shaping the success of our products.
Dive deep into analysis and optimization of performance, scalability, and stability. Your insights and improvements will have a significant impact on ensuring our technological excellence.
Embrace a continuous learning mindset, constantly exploring and evaluating new technologies. This commitment to innovation ensures that our products and systems remain at the forefront of the industry, effortlessly adapting to the ever-growing scale of our operations.
Elevate your impact by mentoring others, leading projects, and advocating for engineering best practices within your team. Your influence will extend beyond your own work, fostering a culture of growth and excellence.

We are looking for an Experienced Big Data Engineer who loves solving complex problems at an extreme scale. In this role, you arent just building "internal pipelines"-you are developing the actual product our clients interact with. You will write high-performance code, optimize your own Spark processes for client freshness, and own features end-to-end. We need a "problem solver by nature, optimizer in their soul" who brings both technical depth and a great personality to a high-speed, deep technical team.

What youll do:
Build Client-Facing Features: Design and implement high-scale product features for our premium clients - from architecture to production deployment.
Performance Engineering: Optimize scalable data pipelines and distributed processes to meet strict client SLAs. Every millisecond of freshness matters.
System Integrity: Ensure uncompromising data accuracy and performance across massive, complex datasets.
Strategic Collaboration: Partner with upstream data providers, client-side teams, and Product Managers to turn raw events into production-grade features.

Were looking for a Data Analyst to join the Protect360 algorithms team and play a key role in researching fraud patterns, analyzing large-scale data, and supporting the development and monitoring of fraud-detection algorithms.
This role is highly R&D-oriented, with deep involvement in data exploration, algorithm analysis, and close collaboration with data scientists, engineers, and product partners.

A partial list of our tech stack includes: SQL, Python, Looker, BigQuery, AWS services, Airflow, and more.

What you'll do:
Analyze large, complex datasets to identify fraud patterns and emerging threats.
Design and write high-performance SQL queries for large-scale data analysis.
Use Python for data analysis, exploration, validation, and workflow automation.
Support the development, evaluation, and monitoring of fraud-detection models.
Build analytical tools, reports, and dashboards to track algorithm performance and fraud trends.
Collaborate with data scientists, engineers, and product managers on R&D initiatives.
Translate business and product questions into data-driven insights and recommendations.

The SEO team leader will define and lead our SEO strategy to drive scalable organic growth across global markets for the core marketplace, with a strong focus on complex marketplace dynamics and US/global search opportunities. This role requires a strategic and hands-on leader who combines deep technical SEO expertise with a strong understanding of how search is evolving beyond traditional rankings into AI-powered discovery experiences. The ideal candidate is an experienced SEO and organic growth leader with a strong background in large-scale platforms or marketplaces, and a proven ability to operate in fast-moving, cross-functional environments. The SEO team leader will lead a team of SEO specialists while partnering closely with Product, Engineering, Analytics, Content, and Marketing to build scalable processes, shape roadmaps, prioritize high-impact opportunities, and connect organic growth efforts directly to business performance. In this position, you must be highly data -driven, deeply technical, and fluent in both classic SEO and emerging Generative Engine Optimization (GEO), including visibility across AI search experiences such as Google AI Overviews, ChatGPT, and other LLM-powered discovery surfaces.


What am I going to do?:

* Manage and lead the core SEO team, setting strategy and direction to improve organic search performance, AI-search discoverability, and measurable business outcomes across our marketplace.
* Own our SEO roadmap across technical SEO, on-site SEO, international SEO, and Generative Engine Optimization, ensuring the company is well-positioned for the future of search.
* Lead hands-on technical SEO initiatives at scale, including JavaScript SEO, crawlability, rendering, indexation, internal linking, structured data, Core Web Vitals, site architecture, and technical migrations.
* Partner closely with Product, Engineering, and Marketing to ensure SEO requirements and recommendations are properly prioritized, implemented, and Embedded into platform capabilities and release processes.
* Measure, analyze, and communicate the impact of SEO and GEO initiatives using clear business metrics, translating organic growth work into marketplace and company value.
* Stay ahead of industry developments across SEO, technical search infrastructure, search engine algorithm changes, and AI-powered search experiences, while continuously raising the knowledge level of the team and broader organization.
Equal opportunities:
we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. we are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.