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We are a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we're on the cusp of our next growth spurt. It's the perfect time to join our team of ~500 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with us is basically guaranteed.

Responsibilities
We are a team of technophiles who hate latency. As a member of our team, you will need to:
Develop and maintain systems that can process complex requests within a few milliseconds.
Tackle advanced engineering challenges in multiple languages and environments.
Own every product that the team manages, from ideation and planning, all the way to production and monitoring.
Teach and learn. We love to inspire and be inspired and make sure that each team member has their place to grow and excel.
Work both autonomously and collaboratively with the team and other teams.

We are looking for an experienced, hands-on Software Engineer with proven abilities to deliver fast and efficiently. A true team player who is eager to be part of a unique opportunity in the startup scene.
Key Responsibilities:
Design software according to agreed standards, architecture, and requirements.
Plan and build creative, scalable, and secure solutions.
Work closely with product managers in defining and implementing roadmap features.
Contribute and drive technological and architectural decisions.
Interface with various R&D groups, as well as support groups.

We are looking for a talented mobile developer to join our Team. Your primary focus will be on using React Native to create a seamless, high-performance, and intuitive application that enhances the way people live by revolutionizing building operations.

Responsibilities:
Design and develop a highly responsive, user-friendly React Native application.
Stay current with industry trends in mobile technology and React Native developments.
Act as an empowered engineer, taking initiative to solve problems and drive projects to success from start to finish.

A GenAI Cyber Security company is looking for a Senior Software Engineer, for an Endpoint & Browser Security developing role. The company's product enables organizations to securely leverage Generative AI with a unified platform for visibility, governance, and real-time protection.

Were looking for a Senior Software Engineer to develop and maintain lightweight, secure endpoint agents (macOS, Windows) and browser extensions (Chrome, Firefox, Safari, Edge). You'll play a key role in shaping the security layer of GenAI products in a fast-paced startup environment.

Responsibilities:
Build and optimize security agents for macOS/Windows.
Develop and maintain secure browser extensions.
Collaborate with product, security, and QA teams.
Implement security best practices and performance optimizations.
Stay up to date with OS and browser security trends.

We are seeking a Senior Full Stack Developer to play a key role in scaling the platform that powers our companys legal data operations. In this role, you will not only drive the development of complex, high-impact systems but also mentor and elevate the engineering team. Youll work across the stack-from frontend experiences to backend services in Node.js-while shaping the future of our AI-driven features and strengthening our data workflows through ETL pipelines.
This is a unique opportunity for a proactive and technically sharp engineer who thrives on solving complex problems, setting technical direction, and helping others grow. If youre passionate about system architecture, modern development practices, data engineering, and building AI-powered solutions, wed love to hear from you!
Responsibilities:
Collaborate with product managers, designers, and other engineers to design, develop and test our innovative products.
Mentor other engineers, providing technical guidance, define and apply engineering best practices (coding standards, software development methodologies, etc.) to leverage the team technical skills and leading the technical side.
Continuously improve the performance, reliability, and security of our applications through design reviews, code reviews, refactoring, and optimization.
Identify and resolve technical challenges and bottlenecks in a timely manner.
Stay updated with emerging technologies and industry trends, and assess their potential impact on our products and processes.
Collaborate with cross-functional teams to translate business requirements into technical solutions.

We are looking for a talented Senior Full Stack Developer with an AI-oriented approach to help build and scale the platform powering our companys legal data operations. This role is critical in developing end-to-end systems used by both legal experts and law firms, leveraging cutting-edge technologies to deliver high-impact solutions. If youre a proactive, technically sharp engineer with a passion for innovation, system architecture, and AI-driven development approach, wed love to hear from you!
Responsibilities:
Collaborate with product managers, designers, and other engineers to design, develop and test our innovative products.
Mentor other engineers, providing technical guidance, define and apply engineering best practices (coding standards, software development methodologies, etc.) to leverage the team technical skills.
Continuously improve the performance, reliability, and security of our applications through design reviews, code reviews, refactoring, and optimization.
Identify and resolve technical challenges and bottlenecks in a timely manner.
Stay updated with emerging technologies and industry trends, and assess their potential impact on our products and processes.
Collaborate with cross-functional teams to translate business requirements into technical solutions.

We are seeking a proactive and detail-oriented Customer Success Automation Engineer to join our growing team. The ideal candidate will have a strong technical background combined with a passion for enhancing customer experience through automation. This role will focus on developing and implementing automated solutions to streamline customer success processes, improve efficiency, and drive customer satisfaction.
Key Responsibilities
Develop and Implement Automation Solutions: Design, develop, and deploy automated workflows to optimize customer success operations.
Process Improvement: Identify opportunities for automation within customer success processes and implement solutions to improve efficiency and customer satisfaction.
Technical Support: Provide technical expertise and support to the customer success team in utilizing automation tools and systems.
Data Analysis: Analyze customer data to identify trends, patterns, and areas for improvement. Use data insights to drive automation strategies.
Collaboration: Work closely with cross-functional teams, including Customer Success, Product, and Engineering, to understand customer needs and develop appropriate automated solutions.
Documentation: Create and maintain documentation for all automation processes and workflows.
Training and Support: Train and support customer success team members on new automation tools and processes.

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
The DevOps Engineer position is an operational engineering role and is an integrated part of our development team. You will be responsible for improving the efficiency of our processes, software, and infrastructure, and will be assisting RnD Team with product development. If you are DevOps Engineer that is passionate about automating and scaling everything, this job is for you.
Responsibilities
Monitor and optimize cloud infrastructure for performance, scalability, and cost-efficiency.
Manage and Maintain CI Infrastructure (GitLab CI and Jenkins).
Manage, Maintain and Improve our Release and Development Environments.
Support critical production infrastructure deployed in Multiple Clouds (AWS, Azure, and GCP).
Develop and Support RnD toolchain and implement best practices for code deployment, testing, and maintenance.
Automate On-Premises Labs Infrastructure by adopting IaC practices.
Lead and Develop Monitoring, Telemetry, Alerting, and Logging Production services.

we are looking for a Senior Infrastructure Developer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone 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 stacksits 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 lakesdesigned 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 storebacked data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

we are looking for a Software Engineer -A new college Grad to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

Being a worker is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If thats bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, were waiting with open arms. Come join us.
What will you do:
we are a vibrant, dynamic, happy place to work. A start-up with an amazing culture, and bright and resourceful people in London, Amsterdam, New York, Sydney, and Tel Aviv. Were growing fast and looking for talented and passionate Frontend Engineers to join us!
As a Frontend Engineer on the team, youll have a key role in developing our product using Angular and its unique features, working closely with our Product team while building a delightful experience for our users. You should be passionate about software engineering and building a product end-to-end and will be responsible for owning the dev cycle from the technical design, through coding and testing, to deployment and monitoring. We work in a true continuous delivery environment with fully automated QA processes on a microservices architecture, deploying to production dozens of times every day.

As a Machine Learning Engineer, youll work on cutting-edge
code-focused LLMs and AI agent systems
that power our companys next-generation developer platform. Youll be at the center of research, model training, and productionization of intelligent systems that understand software deeply, collaborate with developers, and help automate engineering workflows end-to-end. Your work will immediately impact millions of engineers worldwide.
Responsibilities:
Push LLM Innovation: Research, design, and fine-tune domain-specific LLMs for code generation, refactoring, debugging, and multi-turn reasoning.
Agent-Oriented Development: Build multi-agent coding systems that integrate retrieval-augmented generation (RAG), code execution, testing, and tool use to create autonomous, context-aware coding workflows.
Production-Grade AI: Own the training-to-inference pipeline for large code modelsoptimize inference with quantization, distillation, and caching techniques.
Rapid Experimentation: Prototype and validate ideas quickly; leverage reinforcement learning, human feedback, and synthetic data generation to push accuracy and reasoning.
Cross-Functional Collaboration: Partner with product, engineering, and design teams to ship AI-powered features that help developers focus on high-impact work.
Scale the Platform: Contribute to distributed training, scalable serving systems, and GPU/TPU-efficient architectures for ultra-low-latency developer tools.

Interested in being part of the go-to-market team selling real-world Generative AI that currently impacts over a million developers and will impact 10s of millions in the future?
we are building a pre-sales team that will handle the significant volume of inbound leads (prospecting/outbound muscle to be developer) by understanding customer requirements and mapping those to the company solutions. If you have a software development background and have a proven track record in solution engineering then we want to hear from you.
Responsibilities:
Own the technical evaluation components of the sales process for accounts across your assigned territory
Articulate the various company deployment options: on-prem, in VPC (GCP, AWS, Azure), single tenant or multi tenant SaaS
Define and execute techniques to scale 1:1 conversations to be 1:many (recorded webinars, white papers or other creative scaling techniques)
Meet or overachieve your revenue and pipeline goals as part of a sales team
Evangelize AI-powered programming via keynotes, social media, or other technical audience promotion techniques
Track and provide feedback to the product/eng teams on customer usage patterns or feature requests
Interface with the technical decision makers or influencers in key accounts,
Work proactively in an account to get high and wide
Define and execute Proof of Values
Drive net-new revenue for new logo accounts (mid-market to large enterprise) and expansion revenue (in our enterprise accounts).