דרושים » תוכנה » data team lead

at the company, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
our unique data and solutions empower thousands of customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we continue to reach new heights! come work alongside our teammates across the globe who are bright, curious, practical, and good people.
we are looking for a talented and dedicated ml & Big Data analyst who will be a part of the core data group.
as part of this role, you will help us process and streamline rich and complicated datasets. will explore and validate new data sources. be part of the data science and data engineering force creating new features for our solution.
what does the day-to-day of an ml & Big Data analyst at the company look like:
apply your expertise in quantitative analysis and data mining to turn data into insights.
conduct research and develop tools that will ensure the quality of the company's data and algorithms.
utilize your deep understanding of the company's data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
partner with Big Data engineers to establish an infrastructure to scale solutions.
why youll love being a team member:
youll actually love the product you work with: our customers arent our only raving fans. when we asked our employees why they chose to come work at the company, 99% of them said the product. imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.
youll find a home for your big ideas: we encourage an open dialogue and empower employees to bring their ideas to the table. youll find the resources you need to take initiative and create meaningful change within the organization.
we offer competitive perks & benefits: we take your well-being seriously, and offer competitive compensation packages to all employees. we also put a strong emphasis on community, with regular team outings and happy hours.
you can grow your career in any direction you choose: interested in becoming a vp or want to transition into a different department? whether its career week, personalized coaching, or our ongoing learning solutions, youll find all the tools and opportunities you need to develop your career right here.
diversity isnt just a buzzword: people want to work in a place where they can be themselves. we strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. we are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. we believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

at the company, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
our unique data and solutions empower over 4,300 customers globally, including industry giants like google, meta, openai, to make game-changing decisions that drive their digital strategies. in 2021, we went public on the new york stock exchange, and we continue to reach new heights! come work alongside our teammates across the globe who are bright, curious, practical, and good people.
were looking for a sharp and driven data analyst to join our fast - paced data labs team. as part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. the work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. if you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
what does the day to day of a Big Data analyst customer facing ( data labs) at the company look like:
building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
apply your expertise in quantitative analysis and data mining to turn data into insights.
conduct research and develop tools which will help answer client's business. questions by using the company's raw data sets and algorithms.
partner with engineering teams to establish an infrastructure to scale solutions.
partner with advisory services team of consultants to answer strategic business questions and deliver custom data products seamlessly
this is the perfect job for someone who has:
analyzing billions of user-based events into meaningful insights for strategic clients.
why youll love being a team member:
youll actually love the product you work with: our customers arent our only raving fans. when we asked our employees why they chose to come work at the company, 99% of them said the product. imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.
youll find a home for your big ideas: we encourage an open dialogue and empower employees to bring their ideas to the table. youll find the resources you need to take initiative and create meaningful change within the organization.

at the company, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
our unique data and solutions empower thousands of customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we continue to reach new heights! come work alongside our teammates across the globe who are bright, curious, practical, and good people.
were looking for a data analyst to join our r&d department!
why is this role so important at the company?
our retail intelligence products help leading brands and retailers understand how their products, brands and categories perform online. behind them is data collected from retailers and marketplaces around the world, each describing products in its own way. we use llms and ml models to classify, normalize and structure that data into a single, trusted view.
as a data analyst on the team, youll be the person who knows this data best. youll own its quality: defining what correct looks like, building the ground truth our models are measured against, and finding where things break and why. youll work closely with the engineers and scientists who build our llm and ml pipelines, and with product, turning what you find into clear priorities. your work will also directly support our customers: partnering with our customer-facing teams on deep-dive analyses, and investigating and fixing the data gaps that matter most to clients.
its a role for someone curious and hands-on, who enjoys digging into data, uses ai tools to move faster, and wants to see their analysis directly shape the product.
so, what will you be doing all day?
your daily responsibilities may include:
analyzing product, brand and category data to find gaps, errors and opportunities to improve coverage and accuracy
defining quality metrics and building the dashboards and checks that track them over time
building and maintaining ground-truth datasets and labeling guidelines, and running labeling processes
evaluating the output of llm and ml models: error analysis, comparing approaches, and turning findings into concrete improvements
using llms and ai tools to speed up analysis, labeling and data review
helping define and maintain taxonomies and classification rules together with product
supporting client-related needs with our customer-facing teams, from in-depth analyses of specific market segments to investigating and fixing data gaps raised by clients
validating new data sources before they are added to the product
partnering with product and engineering to translate findings into requirements and priorities

at the company, we're revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. our cutting-edge platform and unique data empower over 4,300 customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we havent stopped growing since!
we're seeking exceptional individuals to join us to our r&d team. at the company, you'll innovate fast, collaborate with brilliant minds, solve big problems, work with cutting-edge technologies and data at incredible scales, and make a tangible impact on the world's most innovative companies.
were looking for a Big Data engineer to develop and integrate systems that retrieve, process and analyze data from around the digital world, generating customer-facing data. this role will report to our team manager, r&d.
why is this role so important at the company?
we are a data -focused company, and data is the heart of our business.
as a Big Data engineer Developer, you will work at the very core of the company, designing and implementing complex high scale systems to retrieve and analyze data from millions of digital users.
your role as a Big Data engineer will give you the opportunity to use the most cutting-edge technologies and best practices to solve complex technical problems while demonstrating technical leadership.
so, what will you be doing all day?
your role as part of the r&d team means your daily responsibilities may include:
design and implement complex high scale systems using a large variety of technologies.
you will work in a data research team alongside other data engineers, data scientists and data analysts. together you will tackle complex data challenges and bring new solutions and algorithms to production.
contribute and improve the existing infrastructure of code and data pipelines, constantly exploring new technologies and eliminating bottlenecks.
you will experiment with various technologies in the domain of Machine Learning and Big Data processing.
you will work on a monitoring infrastructure for our data pipelines to ensure smooth and reliable data ingestion and calculation.
as part of our r&d team at the company, you'll have the opportunity to work on challenging algorithmic problems with no play book solution, solve problems for real customers, and work alongside the best engineers and scientists in the industry.
at the company, collaborating with our colleagues in-office creates a more connected, unified culture. our best work is a product of our face-to-face collaboration, with the ability to work partially from home.

we are looking for an AI-native Data Analytics Team Lead to lead our analytics team and shape how data is used to drive business decisions across the company.
This is a hands-on leadership role combining people management, strong business understanding, and technical leadership. You will lead and develop a team of analysts, set technical and analytical standards, own the teams priorities, and partner with stakeholders and senior leadership on high-impact initiatives.
You and your team will work primarily with dbt, BigQuery, Looker, and GitHub, while using AI-enabled tools such as Cursor, MCP integrations, n8n, and OpenClaw to automate workflows and scale how the team works.
Success in this role requires strong leadership, technical depth, business understanding, and the ability to turn complex data into clear, actionable recommendations.
Key Responsibilities:
Lead, manage, and develop a team of Data Analysts, including setting goals, providing feedback, and supporting their professional growth.
Own the teams priorities and analytical roadmap, ensuring the team focuses on the highest-impact business needs.
Define and drive technical and analytical standards across data modeling, SQL, dbt, testing, code reviews, and BI.
Partner with stakeholders and senior leadership to understand business needs, define KPIs, and translate data into actionable recommendations.
Lead high-impact analyses and guide the development of reliable, scalable data models and Looker dashboards.
Ensure data quality and lead investigations into anomalies, tracking issues, and inconsistent metrics.
Drive AI-native ways of working by turning repeatable analyses and processes into reusable, automated workflows.
Stay hands-on with data, code, and analysis when tackling complex or high-impact problems.

We're looking for Product Data Analyst to own the numbers behind Ace and play a central role in shaping product decisions. Youll work closely with Product, Engineering, Growth, and company leadership to understand how people use Ace
Youll own the analytical process end to end: identifying the right questions, defining metrics, designing experiments, working directly with product data, interpreting results, and translating findings into clear product decisions.
We move fast, experiment constantly, and expect analysts to be hands-on, curious, technically strong, and comfortable challenging assumptions.
What You'll Do:
Own the consumer funnel end to end. Analyze acquisition, install, onboarding, activation, engagement, retention, and monetization across desktop and mobile. Identify where users drop, understand why, quantify the opportunity, and turn insights into concrete product opportunities.
Run the experimentation engine. Own experiments end to end - identify whats worth testing, define the right metrics and methodology, analyze the results, and translate learnings into clear product decisions.
Go deep into the data. Work directly with large-scale behavioral data to investigate questions, uncover patterns, diagnose problems, and find opportunities that arent obvious from a dashboard.
Shape how we measure the product. Define the metrics that matter, make sure were measuring new features correctly, and create a trusted analytical foundation for understanding product performance.
Be a strategic product partner. Work closely with Product and leadership to frame important questions, challenge assumptions, and bring a strong data-driven perspective to product strategy and prioritization.
Use AI to work differently. Use modern AI tools as part of your daily workflow to explore faster, investigate deeper, automate repetitive work, and build lightweight solutions when needed.
Make the organization faster with data. Build frameworks and self-service capabilities that help teams answer common questions independently, so your time stays focused on the highest-impact problems.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of our core functions.

This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.

You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.

If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.

What You'll Do

Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.

Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.

Design and evolve our data models, creating a unified language across data coming from multiple integrations and systems.

Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.

Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.

Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.

Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.

Help define the foundations of our data function by evaluating tools, methodologies, and best practices that will scale with the company.

Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.

Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

we are a leading direct-to-consumer platform for app publishers.
we help publishers sell digital goods directly to their users - bypassing traditional app store commissions and owning the full payment and commerce experience.
the result: higher margins, better flexibility, and a more direct relationship with end users.
backed by $89m from leading investors and operators, weve grown 14x in the past year and now process over a billion dollars annually.
were building the infrastructure that lets modern app businesses take back control of monetization - at scale.
responsibilities:
own and define key product, business, and customer kpis across the company
analyze usage, funnels, monetization, and customer behavior to identify growth opportunities and friction points
build and maintain dashboards and reports that give teams clear, reliable visibility into performance
partner with product and business to evaluate new features, initiatives, and experiments, and measure their impact
drive customer value by delivering external-facing data solutions, actionable insights, and industry benchmarks to empower data -informed decision-making.
work closely with engineering and data stakeholders to improve data quality, structure, and accessibility
help foster a data -driven culture by making insights understandable and actionable for non-technical stakeholders.