MongoDB is expanding our global team of consulting engineers to further our ongoing plans for worldwide growth!

MongoDB Professional Services works with customers of all shapes and sizes in all verticals, from tier-1 banks to small web startups, on a variety of interesting use cases from e-commerce platforms to trading systems to social media applications. Solve interesting problems, gain incredible cross-stack experience, work with the best and brightest people in the business, network with industry leaders, and see new places - all in a day’s work!

MongoDB consulting exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios - from building new solutions to modernizing legacy applications or migrating to the cloud. Our consulting solutions ensure that organizations get the best out of MongoDB.

Be one of the recognized experts in this rapidly growing field in a high-growth software company successfully challenging the status quo of the database industry. You will have abundant opportunities to meaningfully impact the growth of our business in your region.

We are looking to speak to candidates who are based in Tel Aviv for our hybrid working model.

Candidate Profile

We’re looking for a highly technical individual, with strong problem-solving and communication skills, and comfortable working closely with customers.

Our ideal candidate will have

• Excellent analytical, diagnostic skills, and problem-solving skills
• High motivation for a role that combines deep technical and customer-management dimensions
• Confidence speaking and presenting in a collaborative customer setting
• 2+ years of software development/consulting/support experience, preferably in several distinct industries/verticals
• Familiarity with enterprise-scale software architectures, application development methodologies, and software deployment and operations
• Competence in at least one of the following languages (in no particular order): Java, C++, C#, Python, Node.js (JavaScript), Ruby, Perl, Scala, Go
• Experience with databases such as MongoDB, Oracle, MS SQL Server, and PostgreSQL
• Familiarity with Linux diagnostics and tuning; Windows tuning knowledge is a plus
• Should be capable and comfortable with frequent travel for short trips to customer sites during the working week
• Should have strong capability with, minimally, both English and any local language - as necessary

Position Expectations

As a core member of the MongoDB Professional Services team, you will

• Contribute to customer implementations at any or all phases of the application lifecycle: portfolio assessment, application planning and design, deployment architectures, development and build, integration and release configuration, system testing, production operations, application optimization, and best practices adoption
• Deliver customer classroom-based training to architect, developer and operations roles
• Work as part of a wider delivery team comprising fellow consulting engineers, project managers and account teams
• Cultivate your individual MongoDB reputation as a trusted advisor to guide MongoDB and our customers into the future
• Partner with Product and Engineering teams to influence the direction of the MongoDB product roadmap

Success Measures

As a Consulting Engineer you will be successful in this role when you can execute the following

• Become a field expert in “everything MongoDB”
• Communicate complex technical proposals simply and convincingly to a wide range of audiences
• Gain a reputation as a trusted advisor with your clients, large and small
• Ensure your client’s success with their MongoDB endeavors
• Maintain the required level of billable utilization
• Influence MongoDB product development by contributing experience from the field
• Successfully communicate the product roadmap to external clients
• Constantly work on improving yourself, our products and our team

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 426204

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in Tel Aviv for our hybrid working model.

As an ideal candidate, you will have:

• 5 to 8  years of related industry experience, ideally 2 years of experience in a customer facing role
• Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience implementing scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience developing, deploying, or supporting applications with any of the major cloud providers 
• Experience working in a technical pre-sales capacity 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms 
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 426128

As a Senior Back-end engineer you will be building SentinelOne’s next-generation cloud-based security platform and are looking for a strong backend software engineer. You’ll enjoy building systems from the ground up, working hands-on in complex, large-scale environments, and taking ownership to drive solutions forward.

What will you do?

• The Collection team leads projects that directly impact the company's bottom line, focusing on areas such as remote operations, EDR, and XDR. Our initiatives start from concepts and evolve into products deployed across millions of endpoints and servers
• This multidisciplinary team comprises experts in backend, frontend, and endpoint technologies (Windows, Linux, Mac), enabling us to independently ideate, develop, and deliver solutions at scale.
• As a Senior Backend Engineer, you will implement innovative projects from inception to implementation, shaping the architecture, design, and development of new modules within our comprehensive security platform. Operating across multiple strategic product lines, you’ll have a direct and visible impact on the success of key company initiatives.

What skills & knowledge should you bring?

• 5+ years of backend development.
• Experience with high-performance micro-services-based backend systems.
• Proficiency in at least one of the following programming languages in a backend environment: Python \ Go. 
• Experience developing cloud-native solutions and data pipelines.
• Experience working with databases (both SQL and NOSQL).
• Experience working with Dockers and Kubernetes.
• Experience with AWS, GCP or other cloud platforms.
• Strong capability to design a solution according to product requirements.
• Great communication skills and ability to work in hybrid and\or remote teams and lead projects.
• Proven experience with developing unit\component tests as part of the development process.

Any of these would be an additional plus:

• Experience working with Kafka ecosystem (pub/sub, Kafka connect, etc.).
• Experience with large scale management systems and performance.
• Experience with Terraform / Terragrunt.
• Experience with Rust, C++, Java, C# or Similar.

Why us?

We are at the forefront of the most dominant space of the Cyber Security market. You'll be working closely with some of the best researchers on the planet on the most innovative and challenging features that will shape the future of Cyber Security. You will be part of a truly global team that is rapidly growing around the world, on an amazing journey of success. You will work with great people in an open, fun environment, and you will be part of an organization that truly values its people.

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

Our Product Management team is looking for a Senior Product Analyst to independently lead the adoption of analytics and insights, and champion a data-driven agenda across the product organization. The ideal candidate will possess deep expertise in product analytics, exceptional problem-solving skills, and a proven ability to influence product strategy.

What you will do

• Independently drive data-driven recommendations and insights, partnering with leadership to shape strategic decision-making processes and product roadmap prioritization.
• Design, execute, and own complex analysis on large datasets to identify product opportunities and key drivers of business value.
• Act as the primary data consultant and thought leader for product managers and engineering, guiding them in defining key performance indicators (KPIs) and designing instrumentation to ensure a robust data infrastructure.
• Evangelize the data-driven agenda by clearly and compellingly communicating complex analytical findings to executive and cross-functional audiences, leading to measurable product improvements.

What we expect

• At least 5 years of progressive experience in Product Analytics, with a significant track record in a B2B SaaS environment.
• Demonstrated ability to operate independently and define the core analytical questions that will unlock product growth.
• Proven ability to effectively influence senior product and business stakeholders through data storytelling, and drive data-driven decisions.
• Exceptional presentation skills, with the ability to clearly and confidently articulate complex data and insights to various audiences, including executive leadership.
• Experience working collaboratively in cross-functional teams, with strong communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and build strong relationships across teams.
• Passion for continuous learning in a fast-paced, highly-collaborative environment.
• Hands-on experience in product analytics tools (preferably “Pendo”) and Jira - Must 
• High level of SQL and data processing skills.
• Fluent in English - writing and speaking - Must

Role summary -

Hybrid
Full-time

We’re looking for a Team Leader who is a tech-enthusiast with a drive for excellence, and an out-of-the-box mindset to satisfy business needs in a complex payment solution environment.

What you’ll do

• Collaborate closely with Product, Design/UX, DevOps, and other R&D teams
• Lead an autonomous team of software engineers who are working closely with product management for achieving business goals
• Put special focus on developing the team 
• Provide technical authority to your team by demonstrating a hands-on leadership style
• Be responsible for the overall design, development, architecture, code quality, and production environment deployment of your team

Who you are -

• S. in computer science or equivalent
• 5 + years of experience as a server side developer, all the way from DB to UI (using C#  – a must!, REST APIs, and asynchronous communication with Queues/Streams)
• 3+ years of experience with advance SQL (MSSQL/Oracle/MySql/PostgreSQL etc.)
• 2+ years of managerial experience – a must!  
• Broad knowledge of OOP and design patterns
• Team player attitude and mentality
• Experienced and passionate about managing and growing people
• Experience in engineering best practices (code-reviews, testing coverage, agile methodologies)
• Ambitious and eager to learn new things

What could set you apart

• Experience with frontend technologies like Angular, React
• Experience with messaging queues or streams such as RabbitMQ/SQS/Kafka
• Experience with Redis or alike
• Experience with ORM such as Entity Framework
• Experience with Microservices
• Experience in building SaaS platforms in a cloud-based environment

#LI-CD1

About the role:

As a Fraud Analyst at Forter, you will be responsible for one of the most critical assets in the company: maintaining the accuracy, reliability, and performance of what is widely considered the leading e-commerce fraud decisioning system in the industry.

You will be expected to think analytically and creatively, constantly improving how we identify fraud and protect legitimate customers. Your work will focus on solving real and evolving business challenges faced by some of the world’s largest and most advanced online retailers. In this role, you will also have direct exposure to key customers, providing analytical insights and helping tailor solutions to their specific needs.

This position has strong technical and analytical depth, but prior coding experience is not required. We believe great analysts can learn the technical tools they need as part of the role through structured training and hands-on work. We hire across multiple levels and adjust the scope and level of ownership based on what we learn during the interview process.

You will join a dynamic, high bar department with a strong culture of excellence, curiosity, and ownership. We work in an informal and collaborative environment where people learn fast and ideas matter. The role offers meaningful growth opportunities, with clear paths toward both senior individual contributor and managerial roles, allowing you to shape your career based on your strengths.

Your work will directly impact Forter’s product, protect millions of customers, and help shape the future of trust in digital commerce.

What you'll be doing:

• Design, implement, and continuously improve decisioning logic running in live production systems
• Research complex fraud patterns, adversarial behaviors, and emerging threats
• Analyze large scale datasets to extract actionable insights and improve decision accuracy
• Develop and automate analytical processes to increase efficiency and scalability
• Work closely with Data Science, Engineering, and other cross functional teams to drive platform improvements

What you'll need:

• Psychometric score above 700 or equivalent (e.g. GMAT) – we value this as an indicator of the high-speed analytical reasoning and structured thinking required for this role
• Strong analytical and logical reasoning skills, with the ability to break down complex problems
• A record of high achievement – academically, professionally, or in other personal pursuits
• Natural curiosity and the ability to understand systemic behaviors and adversarial tactics
• Proactive and results driven mindset, with the ability to work independently within a collaborative team
• Strong technical orientation. Experience with Python, SQL, or R is an advantage but not required. You should be comfortable learning new tools and technologies

Bonus points for:

• Experience with SQL or Python
• Background in risk analysis or intelligence work
• Experience in data analysis
• Familiarity with machine learning concepts

About us:

Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction.

The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve.  Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact. 

Trust is backed by data –  Forter is a recipient of over 10 workplace and innovation awards, including: 

• Great Place to Work Certification (2021, 2022, 2023, 2024, 2025)
• Fortune’s Best Workplaces in NYC (2022, 2023, 2024 and 2025)
• Forbes Cloud 100 (2021, 2022, 2023, 2024 and 2025)
• Anti-Fraud Solution of the Year at the Payments Awards (2024)

Life as a Forterian:

We are a team of over 600 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Adobe, ASOS, eBay, Instacart, Priceline and Nordstromv can block fraud, drive revenue and improve customer experience.

At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.

Forter is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law.

If you need assistance or an accommodation due to a disability, please email us at interviewaccommodation@forter.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.

#LI-Onsite

About Us

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Booking.com, Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. 

About the Role

As a Data Engineer, you will provide data-driven decision making support for Riskifieds' merchants. You will deliver an improved understanding of the merchants metrics and improve Riskified service and customer satisfaction.

You’ll work closely with various teams, including Analytics & Research, Finance, Account Management, and Product Management.

What You'll Be Doing

• Work with various teams to define key metrics (KPIs) and provide the methodologies to accurately measure Riskified’s performance
• Create new ETL processes and optimize existing ones
• Create smart, innovative and effective visualization methods, and promote engagement and implementation of them

Qualifications

• Bachelor’s Degree in Science/Data Systems Management/Industrial Engineering and Management
• 3+ years of experience as a Data Engineer – must
• Experience with SQL - must
• Experience with BI tools such as Tableau, Looker or similar - must
• Knowledge in data modeling and DWH design - must
• Experience in developing ETL processes - must
• Experience with business requirements gathering - must
• Experience with scripting languages - an advantage
• Good comprehension of data, and how to tell the story behind it

Life at Riskified

We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us.

Our Tel-Aviv team is currently working in a hybrid of remote and in-office work. We have recently moved to our new space in Tel Aviv - check it out here! 

Some of our Tel Aviv Benefits & Perks:

• Equity for all employees, Keren Hishtalmut, pension
• Private medical insurance, extra time off for parents and caregivers
• Commuter and parking benefits
• Team events, fully-stocked kitchen,lunch stipend, happy hours, yoga, pilates, functional training, basketball, soccer
• Wide-ranging opportunities to volunteer and make an impact
• Commitment to your professional development with global onboarding, skills-based courses, full access to Udemy, lunch & learns
• Awesome Riskified gifts and swag! 

In the News

Geektime: Riskified Goes Public

Walla!: Happy Hour at the Riskified Offices

Geektime Insider: A look at Riskified Tel Aviv

Globes: Riskified to contribute the highest amount up to date to Tmura

Globes: Riskified is among Israel’s fastest growing companies 

TechCrunch: Riskified Prevents Fraud on Your Favorite E-commerce Site

Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

The opportunity
Our Business Analyst will thrive in a dynamic, fast-paced environment that offers exposure to a diverse portfolio of game genres and a culture that actively encourages the use of AI tools to scale your impact. This is a highly collaborative space where you’ll work alongside and learn from top-tier industry experts, ensuring continuous professional growth and innovation.

What you'll be doing

• Analyze large-scale player data to identify trends, opportunities, and risks across retention, progression, economy, and monetization.
• Build and maintain dashboards and reports used daily by Product, Game Design, and Monetization and R&D teams.
• Define and monitor KPIs, detect anomalies, and proactively surface insights to stakeholders.
• Partner closely with Product Managers, Economy Managers, and Developers to support data-driven decision making.
• Support A/B testing efforts: experiment design, results analysis, and clear recommendations.

What we're looking for

• A business-oriented mindset focused on delivering results.
• Sharp analytical skills to uncover insights and solve complex challenges.
• A true team player—collaboration is central to innovation!
• Someone who takes initiative and approaches challenges with confidence and curiosity.
• 2+ years of experience in Business Analyst (Gaming industry- must)
• Experience building dashboards using modern BI tools
• Strong ability to explain complex data concepts and insights to non-technical audiences
• Extensive SQL skills and experience working with large, complex datasets
• Strong presentation and communication skills and proficiency in English

You might also have

• Experience working with Cursor - an advantage

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

We’re looking for a passionate and creative Software Engineer with a strong data-driven mindset and around 4 years of experience to join our team. In this role, you will contribute to developing our cloud-based personalized networking and security management solutions, as well as building scalable systems for processing and analyzing data across multiple networks.

Responsibilities:

• End-to-end development, from processing large-scale data to building intuitive web interfaces
• Designing and implementing data pipelines, analytics, and insight-driven features
• Developing backend services with a focus on performance and scalability using C/C++ and Python
• Contributing to frontend development and overall system integration
• Implementing and testing network security enterprise solutions
• Conducting research and prototyping new features and product ideas
• Exploring new technologies and integrating them into the product
• Driving a data-driven approach to product and engineering decisions

Requirements:

• 4+ years of software development experience
• Strong programming skills in C, C++, and Python – Must
• Familiarity with Java (server-side development experience is a plus)
• Experience designing and developing scalable systems and services
• Strong data-driven mindset with experience analyzing large datasets
• Experience with data processing, pipelines, or data-intensive applications
• Familiarity with relational and NoSQL databases (e.g., MySQL, Redis, Elasticsearch)
• Familiarity with cloud platforms (preferably AWS) – Advantage
• Experience with data analysis tools/frameworks (e.g., Python, SQL, Spark) – Advantage
• Experience with modern web technologies (e.g., React, TypeScript) – Advantage
• Strong problem-solving skills and ability to work independently
• Team player with excellent collaboration and communication skills
• Fast learner with the ability to quickly adapt to new technologies
• BSc. in Computer Science or equivalent

Senior Backend Engineer-Cloud Modernization

Role Summary

As a Senior Backend Engineer in the Credit Cards team, you will play a critical role in our Cloud transformation, re-architecting, building, and shipping our next-generation solutions, evolving the systems that power our card offering end-to-end, from card ordering and issuing to transaction processing and lifecycle management.

Location

Herzeliya,Hybrid, Full-time.

What you’ll do

You will be a core member of the Credit Cards engineering team, a high-impact unit responsible for the full card lifecycle, from ordering and issuing to limiting, managing, and monitoring card transactions. The team integrates with third-party payment processors, 3D Secure systems, and MasterCard, ensuring seamless, secure, and high-performance card operations for our customers.

You will lead technical initiatives across card systems, designing, building, and validating robust backend solutions that scale with business needs.

You will work closely with architects, security, product, and operations teams to modernize the existing card systems into a new event-driven architecture, introduce cloud-native patterns. Build it from scratch while ensuring that card business services remain reliable, secure, and performant.

Who you are

You are a seasoned Senior Backend Engineer with deep expertise in backend systems and cloud architectures. You thrive in complex, fast-moving environments and excel at turning ambiguous requirements into concrete, reliable solutions.

You bring strong technical ownership and accountability, balancing long-term architectural thinking with pragmatic delivery. You embrace change, learn quickly, and continuously adapt to new technologies, business needs, and integration challenges with external partners.

You are proactive, curious, and confident in making informed decisions. You influence others through technical excellence and clear communication, collaborating closely with product, architects, security, and operations teams to ensure alignment, adoption, and lasting impact.

Skills you are bringing with you

• 6+ years of experience with backend development, preferably C# and Node.js
• 6+ years of experience with advanced SQL (MSSQL/MySQL/PostgreSQL, etc.)
• 4+ years of experience with NoSQL database, preferably MongoDB
• Experience with building SaaS platforms for cloud-based products, preferably AWS
• Experience with Containers and Kubernetes (K8s), preferably EKS
• Experience with Event-Driven Architecture
• Experience with Message Brokers such as RabbitMQ/SQS/Kafka, preferably Kafka
• Experience with Microservices development
• Experience with AI tools for leveraging team velocity & quality
• B.S. in computer science or equivalent
  
  

  #LI-LF1

Product Analytics aims to help developers, product managers and designers understand their users, take data-oriented product decisions and evaluate the impact of technical issues on their customer base. As a Senior Software Engineer on the Product Analytics Backend team, you'll join a new, fast-growing product area. You will help define our technical vision, influence the product roadmap, and solve complex engineering challenges at scale.

In Product Analytics, we consume and process data from multiple sources: clickstreams, user information, and data from third-party systems. Your work will be central to building a robust and flexible system that can ingest, manipulate, correlate and store all this data to have it efficiently queried by our end users.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Design, build, and maintain core backend systems for Product Analytics, ensuring scalability, reliability, and high performance 
• Drive technical architecture decisions in alignment with product goals and collaborate closely with frontend and platform teams 
• Work with our core platform teams to tailor Datadog's storage and query solutions to our needs
• Create a strong team culture aligned with our engineering standards and our customer focus
• Participate in hands-on engineering work including coding, code reviews, and design reviews

Who You Are: 

• A seasoned backend engineer with deep expertise in designing and building distributed systems 
• Comfortable influencing technical direction without direct management authority, operating as a technical leader and mentor 
• Interested in working on an early stage project with many challenges to solve and a fast iteration cycle 
• You have a track record of delivering high-quality software products on schedule and collaborating closely with product partners 
• Strong technician, particularly with Go, Java or SQL, who is interested in remaining a hands-on contributor
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products 

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Navan AI is creating a new category in travel: an intelligent, conversational AI concierge that supports travelers across their entire journey. We’re rebuilding the travel booking and management experience from the ground up — personal, proactive, and entirely user-centric

We are looking for a Senior Product Growth specialist to be the engine behind our user acquisition, activation, and retention strategies. Reporting directly to the Head of Product Growth, you will be responsible for the "how"—turning high-level growth visions into scalable product mechanics and experiments.

You are a master of the growth loop. You understand that growth isn't just about "top of funnel" marketing, but about building features that naturally encourage adoption and expansion. You will sit at the center of AI, UX, and Engineering, executing a roadmap that turns casual users into lifelong Navan advocates.

What You’ll Do:

• Experimentation & Optimization: Design and execute high-velocity A/B tests across the user journey. You’ll own the experimentation roadmap to improve conversion rates from landing page to "aha moment."
• Onboarding & Activation: Directly manage the product flows that welcome new users. You will reduce friction in the signup process and ensure our AI concierge demonstrates its value within the first 60 seconds of interaction.
• Retention Loops & Re-engagement: Develop sophisticated, AI-driven lifecycle triggers. You will work with the engineering team to ensure the product "reaches out" to users with the right context at the right time, driving habitual usage.
• Growth Feature Development: Identify and build in-product growth levers, such as referral programs, viral sharing loops, and collaborative travel features that naturally expand our user base.
• Data Analysis & Insights: Deep-dive into product analytics to identify where users are dropping off. You’ll translate complex data into actionable product requirements and technical specs (PRDs).
• Cross-Functional Execution: Act as the connective tissue between Marketing’s acquisition efforts and Product’s core features, ensuring a seamless transition for the user across all touchpoints.

What We’re Looking For:

• 4–7+ years of experience in Product Growth, Growth Engineering, or Product Management with a heavy growth focus.
• A "Full-Stack" Growth Mindset: You are equally comfortable writing a technical PRD, analyzing a SQL query, and critiquing a UI layout.
• Proven Track Record: You have successfully moved the needle on North Star metrics like CAC, LTV, or Activation Rates in a fast-growing B2C or Prosumer SaaS environment.
• AI Fluency: Familiarity with how LLMs and personalization engines can be leveraged to drive user engagement.
• Execution Excellence: You thrive in the "doing." You are known for your ability to ship quickly, learn from failure, and iterate fast.
• Tooling Mastery: Expertise in the modern growth stack (e.g., Amplitude, Mixpanel, Optimizely, or Braze).

Why This Role?

You won't be a cog in a machine; you will be the one building the machine. Working directly with the Head of Product Growth, you will have a front-row seat to the scaling of a category-defining AI company, with the autonomy to own major pieces of the product and the support to take big swings.

About the Role

The Platform Security team sits at the core of the Fireblocks platform. We are responsible for the engine that evaluates, enforces, and governs every action taken within the system. If it involves a governance policy, an approval chain, or access control, it touches our team.

We are looking for a strong, ownership-driven Senior Software Engineer to lead our Policy Engine and Governance domain. You will perform mission-critical engineering at high scale, where correctness is everything. This role requires a true "builder", someone who can architect complex, distributed business logic while also having the technical depth and willingness to dive into low-level C++ code to optimize core platform components.

What You’ll Do

• Own the Domain: Take end-to-end technical ownership of the Policy Engine and Governance domain, driving the architecture, design, and implementation from 0 to 1 and beyond.
• Bridge High-Level & Low-Level: Navigate seamlessly between designing highly available, modern microservices and writing/maintaining performance-critical, low-level C++ code when the system demands it.
• Build for Scale: Implement robust backend applications to process complex rule evaluations at scale and with minimal latency.
• Collaborate & Lead: Act as a technical leader within the team, collaborating closely with Product, and other engineering teams to translate complex enterprise governance requirements into scalable technical solutions.
• Maintain Excellence: Ensure the robustness and maintainability of our services, taking part in incident response, on-call rotations, and operational excellence.
• Leverage AI: Utilize modern AI tools and agents to accelerate development workflows, while applying critical judgment to validate AI-generated output in complex or high-stakes contexts.

What You’ll Bring

Must-Have:

• 8+ years of backend engineering experience building large-scale, high-volume distributed systems or SaaS platforms.
• Polyglot & Systems Depth: Strong proficiency in modern backend languages (e.g., Go, TypeScript, Python, or Java) combined with hands-on experience and a willingness to touch low-level C++ code.
• Architectural Mastery: Deep understanding of system design, microservices architecture, concurrency, and distributed SQL databases.
• Builder's Mentality: A proven track record of taking deep ownership of a complex product domain, acting as a technical anchor, and pushing projects forward independently.
• AI Tooling Experience: Hands-on experience working with AI development tools (Claude Code, Cursor, etc.) and the critical engineering judgment to know when to trust and when to override them.
• Infrastructure Knowledge: Experience working with cloud and backend technologies (e.g., Docker, Kubernetes, AWS, DataDog).

Strong Advantage:

• Security Mindset: A background in cyber-security, adversarial thinking, or experience working in highly security-sensitive environments.
• Governance Expertise: Experience building Policy Engines, Rule Engines, Identity and Access Management (IAM) systems, or authorization frameworks.
• Blockchain Knowledge: Familiarity with the blockchain ecosystem, smart contracts, or digital assets.

We are seeking a Senior Backend Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.

You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.

What You’ll Do
• Design and develop scalable, high-performance backend services and APIs.
• Implement integrations with AI platforms and services.
• Work with AI specialists to translate AI capabilities into production-ready features.
• Ensure high reliability, performance, and security of AI-powered systems.
• Collaborate with product and engineering teams to gather requirements and deliver solutions.

What We’re Looking for:
• 5+ years of professional backend engineering experience.
• Strong proficiency in at least one backend programming language (Java etc).
• Experience building and maintaining production-grade APIs and microservices.
• Solid understanding of distributed systems, data structures, and algorithms.
• Experience with SQL and NoSQL databases.
• Track record of delivering consumer-facing products at scale.

• Experience with AI/ML platforms and services (OpenAI, Hugging Face, etc.)
• Familiarity with LLMs, RAG, or conversational AI.
• Knowledge of vector databases and embedding technologies.
• Experience with cloud platforms (AWS, GCP, Azure).
• Understanding of AI/ML concepts and implementation patterns.

• Master the User Journey: Map complex B2C user journeys to identify friction points. You’ll go beyond the "what" to uncover the "why" behind user behavior.
• Build the Data Foundation: Design and maintain "reporting-grade" data models in dbt, ensuring our BI layer is the single source of truth for product health and business use.
• Optimize Growth: Design, build, and monitor funnels and A/B tests at scale to optimize performance and conversion.
• Influence the Roadmap: Analyze data to identify trends and insights that directly influence product decisions and business strategy.
• Foster Independent Discovery: Build and scale intuitive data tools and self-service environments that encourage independent behavior among business users, reducing the need for constant manual support.
• Consultative Partnership: Provide business expertise and guidance on how to leverage data analytics and reporting within the organization.
• Ad-hoc & Statistical Analysis: Support the business with ad-hoc analytics and apply statistical techniques to discover new business opportunities.

• 5+ years of experience in data or product analytics.
• Highly experienced in SQL and building data models that scale.
• Self-Starter Mentality: You don't wait for a ticket to be assigned; you dig into the data, find an anomaly, and bring the solution to the team.
• Communication: Ability to translate complex technical findings into "business-speak" for stakeholders at all levels.
• B2C Product Sense: A strong drive for data and numbers coupled with an affinity for user experience and pain points.
• Technical Proficiency: Highly experienced with dashboard building, best practices, and data visualization.
• Experience with dbt is a plus (or a strong desire to master it).
• Collaborative Spirit: Excellent stakeholder relationship skills and a proven ability to work as a strong team player.

At Similarweb, 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 Similarwebbers across the globe who are bright, curious, practical, and good people.

We’re 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, you’ll 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. You’ll 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 Similarweb 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 Similarweb’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.
• At least 4 years experience with SQL/pySpark for data analysis - Must
• Experience in Python scripting - Must
• Excellent verbal and communication skills in English - Must
• AWS Infrastructure experience - Big Advantage
• Working with clients - Big Advantage.
• Proficiency in Online Marketing/Online Services - Advantage
• At least 2 years work experience in Online/Tech Company - Advantage
• Team player, autodidact, fast learner with excellent analytical, research and business skills.
• Demonstrates initiative and a proactive mindset -Must
• Experienced in independently managing complex projects from start to finish.
• Have a Bachelor's in Statistics, Computer Science, Engineering, or related field.
• Master's degree - Big Advantage.

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 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.

You’ll find a home for your big ideas:  We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll 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 it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t 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.

#LI-SS #LI-Hybrid

About Unframe

Unframe is reinventing enterprise software for the AI era. We enable large organizations to deploy secure, production-grade AI solutions across dozens of use cases, quickly and at scale. Our platform allows enterprises to become AI-native without the heavy lift of traditional software development. We work on-site at our TLV offices.

We operate at high velocity. Our solutions continuously evolve. We build for enterprise scale from day one.

About the Role

As Unframe’s first Product Analyst, you will define how product analytics works across the company. You will build the data foundations, measurement frameworks, and analytical processes that allow us to make informed decisions across multiple evolving AI solutions.

This role combines strategic ownership with hands-on execution. You will design scalable analytics infrastructure while delivering actionable insights that influence product direction, customer outcomes, and company growth.

Your work will directly impact how we prioritize features, measure value, and scale intelligently across dozens of enterprise deployments.

Responsibilities

• Define and implement Unframe’s product analytics strategy across multiple products and solutions.
• Establish core KPIs and success metrics aligned with product and business objectives.
• Design scalable tracking frameworks to support evolving product capabilities and customer use cases.
• Partner with Product, Engineering, and Customer teams to translate business questions into measurable hypotheses.
• Build dashboards and reporting systems that provide clear, actionable insights.
• Analyze user behavior, feature adoption, retention, and engagement to drive product improvements.
• Identify opportunities for optimization across onboarding, activation, and ongoing usage.
• Ensure data accuracy, consistency, and governance across analytics systems.
• Leverage AI tools where appropriate to enhance analysis, forecasting, and insight generation.
• Manage multiple analytical initiatives in a fast-moving environment.

Requirements

• 4+ years of experience in product analytics, data analytics, or a similar analytical role within SaaS or technology companies.
• Experience building or significantly shaping analytics processes and measurement frameworks.
• Strong proficiency in SQL and experience working with modern BI tools.
• Experience defining product KPIs and building scalable tracking systems.
• Strong understanding of experimentation frameworks, A/B testing, and data-driven decision making.
• Ability to work cross-functionally and influence product decisions through data.
• Proven ability to manage multiple projects and shifting priorities.
• High ownership mindset with the ability to operate independently.
• Strong communication skills with the ability to present complex findings clearly to both technical and non-technical stakeholders.

Nice to Have

• Experience working across multiple product lines or modular platforms.
• Familiarity with product-led growth metrics.
• Experience working in high-growth startup environments.

Impact

As Unframe scales across industries and use cases, data-driven decision making becomes a competitive advantage. This role is critical to building the analytical foundation that allows us to measure what matters, prioritize effectively, and scale with confidence.

If you are excited about building analytics systems from the ground up and shaping how an AI company makes product decisions at scale, we would love to speak with you.

Transmit Security gives businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow. 

CX-focused, cybersecurity conscious leaders rely on Transmit Security’s xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices.

Transmit Security serves many of the world’s largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce. 

About the Role:

Transmit Security is a top player in its game and is heading for an exciting year.

In this role, you will take an integral part in the creation of a new and innovative SaaS product.

If you are a talented software engineer that likes to solve complex problems and looking for your next challenge we want you to join our team!

What you’ll do: As the Team Leader at Transmit Security, you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. You’ll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team!

Responsibilities:

• Collaborate effectively with cross-functional teams (Data Science, Security, etc.) to ensure alignment on business needs and security standards.
• Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment.
• Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement.
• Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives.
• Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure.

What We're Looking For:

• 5+ years of software engineering experience, with at least 2 years in a leadership capacity.
• Extensive knowledge of distributed computing platforms (Flink, Spark, Beam) and cloud platforms (AWS, GCP, Azure).
• Proficiency in programming languages such as Python, Java, Scala, or Go.
• Demonstrated strong leadership abilities, including guiding teams, managing backlogs, and fostering effective cross-functional collaboration.
• Proven experience in managing security risks and ensuring high-quality, scalable, and compliant systems.
• Ability to maintain focus on key priorities and excel in a fast-paced, dynamic production environment.

Advantages:

• Bachelor’s degree in Computer Science or a related field.
• Experience with microservice architecture, data management tools (Kafka, Airflow, MLOps), and CI/CD processes.
• Familiarity with databases (Postgres SQL, Redis) and Kubernetes.
• Background in identity management, risk assessment, or fraud detection.

#LI-AM1 #LI-Hybrid

The role

Nebius is looking for a Senior Data Scientist (Applied AI / LLM) to design, build, and deploy production-grade AI systems based on large language models. You will focus on turning LLM capabilities into reliable, measurable business solutions, while also contributing to predictive modeling across different business domains.

Your work will include building evaluation frameworks, improving model accuracy, and developing agent-based systems that automate analytical and data workflows (e.g., data quality monitoring). The role emphasizes production readiness, robustness, and real business impact—not experimentation.

You’re welcome to work in our office in Tel Aviv.

Your responsibilities will include: 

• LLM system development. Design and deploy LLM-based solutions (e.g., RAG pipelines, agent workflows) for real business use cases.
• Evaluation & reliability. Build evaluation frameworks to measure accuracy, consistency, and failure modes of LLM systems. Continuously improve performance based on real-world usage.
• Agent-based automation. Develop agentic solutions to automate workflows such as data quality checks, anomaly detection, and reporting.
• Applied predictive modeling. Apply classical ML and statistical methods to business domains such as HR and Finance (e.g., forecasting, classification, risk modeling).
• Production & MLOps. Deploy and maintain models in production, ensuring monitoring, versioning, and scalability.
• Stakeholder collaboration. Translate business needs into AI/ML solutions and communicate trade-offs, risks, and performance clearly.
• Cross-domain contribution. Contribute to adjacent areas (e.g., forecasting models) to ensure team redundancy and shared ownership of critical workflows.

We expect you to have: 

• Experience as a data scientist or applied ML practitioner (5+ years).
• Experience building and deploying LLM-based systems in production.
• Experience working in production environments with model monitoring and iteration.
• Experience with modern data science and ML ecosystems using Python.
• Experience working with large datasets and strong SQL skills.
• Understanding of LLM evaluation, prompt design, and system behavior.
• Strong foundation in statistics and machine learning fundamentals.
• Demonstrated ability to deliver production-grade AI systems end-to-end.
• Demonstrated ability to translate business needs into AI/ML solutions and communicate clearly.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

•  Experience with RAG architectures and retrieval systems.
• Experience designing or working with agent-based workflows.
• Experience with MLOps tools and production ML systems.
• Experience working in cloud environments (preferably Azure).

The role

Nebius is looking for a Senior Data & Business Analyst to lead analytics and business health indicators across our operational and company-wide domains. This is a senior individual contributor role combining strategic thinking, deep hands-on analytical execution, and strong cross-functional business partnership. You’re welcome to work in our office in Tel Aviv.

The role requires the ability to operate at two levels simultaneously: understanding the full business picture while diving deep into complex datasets and technical execution. You will work closely with Operations, Finance, and other cross-functional teams to improve efficiency, transparency, and decision-making across the organization.

Your responsibilities will include: 

• Own end-to-end analytics for core operational processes.
• Define, build, and maintain company-level operational and business health KPIs.
• Translate ambiguous, cross-functional business questions into structured analytical frameworks.
• Write advanced, high-performance SQL to extract, model, and analyze complex datasets.
• Lead deep-dive analyses to uncover operational inefficiencies, financial impact, and process gaps.
• Connect data across systems and explain upstream and downstream business impact.
• Independently identify high-impact problems worth solving, not only respond to requests.
• Drive cross-functional analytical initiatives at a company-wide level.
• Present insights, trade-offs, and recommendations to senior leadership.
• Synthesize complex findings into concise executive-level narratives.
• Influence decisions and drive measurable impact based on data.
• Act as a central analytical partner across multiple business domains.
• Lead initiatives and move stakeholders forward without direct authority.

We expect you to have: 

• Experience as a Data Analyst, Business Analyst, or similar analytical role.
• 5+ years of experience in data or business analytics within operational or financial domains.
• Expert-level SQL skills, including complex joins, CTEs, window functions, and performance optimization.
• Experience working with ERP or operational systems data.
• Experience operating at both high-level strategic view and deep hands-on analytical execution.
• Experience leading cross-functional initiatives and influencing stakeholders without direct authority.
• Experience operating at a company-wide level, not only within a single function.
• Demonstrated ability to deliver measurable business impact such as cost reduction, efficiency gains, process improvements, or revenue optimization.
• Strong executive-level presentation and communication skills.
• Demonstrated ability to challenge assumptions and influence senior stakeholders using data.
• High ownership, independence, and strong execution mindset.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

• Experience with NetSuite or similar ERP systems.
• Experience with operational workflow or spend management tools.
• Experience with BI tools such as Looker, Tableau, or Power BI.
• Experience partnering with Finance or FP&A teams.
• Background in operational efficiency or cost optimization initiatives.

The role

Nebius is looking for a Senior Data Scientist to build and deploy time series forecasting and classical machine learning models that support core business planning and operational decisions. You will own problems end-to-end, from data exploration and feature engineering to model deployment and monitoring, working with large-scale, real-world datasets.

The role emphasizes strong statistical thinking, robust modeling, and production reliability over experimentation with trendy frameworks. Your work will directly impact forecasting accuracy, resource planning, and key business metrics.

You’re welcome to work in our offices in Tel Aviv.

Your responsibilities will include: 

• Time series forecasting. Design, build, and maintain forecasting models (e.g., demand, usage, capacity). Evaluate performance using appropriate metrics and improve accuracy over time.
• Classical ML modeling. Develop and deploy models using regression,Binary classifcatiom ,  tree-based methods, and other well-established approaches where they provide the best trade-off between performance, interpretability, and maintainability.
• Feature engineering & data preparation. Build robust pipelines for data cleaning, transformation, and feature generation (including time-based features, seasonality, and external signals).
• Model evaluation & monitoring.Define evaluation frameworks, backtesting strategies, and monitoring to ensure models remain stable and reliable in production.
• Production & MLOps. Deploy models into production environments, collaborate on pipeline orchestration, and ensure reproducibility and version control.
• Exploratory analysis. Analyze large datasets to identify patterns, anomalies, and drivers of change in time-dependent behavior.
• Stakeholder collaboration. Work closely with business and product teams to define forecasting needs, align on success metrics, and translate model outputs into actionable insights.
• Cross-domain contribution. Contribute to adjacent data science areas (e.g., LLM-based systems) as needed, ensuring shared ownership and continuity across team responsibilities.

We expect you to have: 

• Experience as a data scientist working in production environments (5+ years).
• Experience with time series modeling and forecasting techniques.
• Experience building reliable data pipelines and working with large datasets.
• Experience with modern data science tools and ecosystems using Python (e.g., NumPy, Pandas, Scikit-learn, deep learning frameworks).
• Strong SQL skills and experience working with large datasets.
• Strong foundation in statistics and machine learning fundamentals.
• Background in Computer Science, Statistics, Mathematics, Industrial Engineering, Economics, or a related field (Master’s degree or equivalent).
• Demonstrated ability to take models from idea to production and ensure ongoing value.
• Demonstrated ability to apply structured thinking and robust evaluation in forecasting problems.
• Strong communication skills and ability to explain model outputs, uncertainty, and limitations.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

• Experience working in cloud environments (preferably Azure).
• Experience with MLOps tools and production model lifecycle management.
• Experience with workflow orchestration tools such as Apache Airflow.
• Familiarity with LLM-based systems (e.g., evaluation, RAG pipelines) in applied settings.

Realize your potential by joining the leading performance-driven advertising company!  

As a Senior Software Engineer on the Infrastructure Engineering R&D group, you’ll play a vital role in developing one of the largest real time high scale operation in the world to support over 1.4B users, >500,000 requests / second, 140TB of new data every day.

To thrive in this role, you'll need:

• Experience developing large scale distributed systems
• Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures systems, applications programming and multi threading programming
• 5+ years programming experience in Java or equivalent Object-Oriented language
• Production systems understanding
• Experience with SQL and No-SQL
• Highly Proficient in Linux environment
• Proven ability to work effectively across multiple teams
• BS.c in computer science or equivalent experience

Bonus points if you have:

• Experience in Big Data tools
• Knowledge in algorithms, data-mining and machine learning

How you’ll make an impact:

As a Senior Software Engineer, you’ll bring value by:

• Develop one of the largest real time high scale operation in the world to support over 1.4B users, >500,000 requests / second, 140TB of new data every day
• Have end to end ownership: Design, develop, deploy, measure and maintain our services
• Solve production issues in the framework code
• Collaborate with the brightest software engineers team members
• Influence directly on the way billions of people discover the internet

Here are some of the things software devs in our group did in the last several months:

• Rewrote part of our recommendation servers to reduce serving time p999 by >40%
• Rolled out custom Cassandra compaction strategy
• Created and improved Taboola’s Kafka consumer designed for very high scale
• Developed a brand new Taboola metrics pipeline, ingesting over 100B metric messages per day
• Anomaly detection engine for application metrics
• Rolled out a new custom home-built Taboola authentication service
• Many more things...

Our Tech Stack:

Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Metrictank, Grafana, Airflow, Redis

This is us!

You will work with:

• The people who wrote the first lines of code in Taboola (and many many more lines after that)
• The proud owner of a beer brewery
• People who are deeply familiar with the code of Kafka, Cassandra, AirFlow, Prometheus and Spark (including committing back)
• Famous internal Taboola hackathon winners
• The designers and implementers of a offheap, zero GC, Custom Kafka Producer which cumulatively sends ~100B messages / day

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking).
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.-

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-SS1

Realize your potential by joining the leading performance-driven advertising company!  

As a Senior Backend Engineer, you’ll be instrumental in building and optimizing our core infrastructure for managing RTB requests at scale, one of the biggest revenue driven operations in the company.

To thrive in this role, you’ll need:

• 5+ years programming experience in Java or equivalent Object-Oriented language
  (preferably Java 8+Spring)
• Production systems understanding (system architecture of web products)
• Fearlessness to dive into what you don't know
• Passion for solving problems, and working very close to the business
• Experience with SQL and No-SQL
• BSc in computer science or equivalent
• Willing to work intensively to gain fast results in an unknown field
• Product driven
• A pragmatic attitude toward decision-making (avoiding analysis paralysis)
• Strong analytical skills  

Bonus points if you have:

• Experience developing large scale distributed systems
• Experienced with Kafka/docker/k8s
• Deep understanding with web systems (API / REST / NGINX)
• Experience with SQL and NoSQL (mysql / Vertica / Cassandra)
• Experience in Big Data tools (BQ / zeppelin etc)
• Knowledge in algorithms, data-mining and machine learning

How you’ll make an impact:

As a Senior Backend Engineer, you’ll bring value by:

• Develop one of the largest real time big data operation in the world to support over 40TB of new data every day
• Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
• Collaborate with the brightest software engineers team members
• Influence directly on the way billions of people discover the internet
• Develop at unimaginable scale, serving hundreds of thousands of requests per second
• Work on innovative projects that are the next growth engines for Taboola

Here are some of the things software developers in our group did in the last several months:

• A unique data pipeline for managing RTB requests at scale
• An algorithmic model to predict if a given Real-Time impression is valuable to Taboola
• A smart gateway that ingests hundreds of thousands of requests per second for a single instance 
• An A/B tests system to explore variations and experiments 
• And many more...

Our Tech Stack:
Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Grafana, Airflow

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy location-specific perks.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.Work with some of the biggest names:
• We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.-

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-MC1

SUMMARY

We’re looking for a talented BI Engineer to join our BI team and spread the power of Wiz. The BI team builds the analytics foundation that powers Wiz's product strategy and global business growth. We are looking for versatile builders and independent thinkers who can translate complex product domains into scalable data models and AI-driven workflows. If you are a logical thinker with a passion for creating high-impact data products and redefining how organizations interact with data, this role is for you.

WHAT YOU’LL DO

• Lead analytics initiatives end-to-end: requirement gathering → metric definition → data modeling → dashboard delivery.
• Partner with Product Managers to define KPIs and translate complex business needs into scalable data models in dbt and BigQuery.
• Drive the evolution of BI infrastructure at Wiz, building reusable models and standardized metrics to enable scalable self-service analytics.
• Lead AI-powered initiatives and automation to redefine data discoverability and improve company-wide efficiency.
• Own data observability and governance, architecting a scalable BI platform to deliver high-impact data products.
• Independently lead cross-functional projects, managing complex stakeholder relationships with a high-ownership approach.

WHAT YOU’LL BRING

• 5+ years of experience as a BI Developer in a product-driven tech company.
• Strong background in Data Analytics with a proven ability to partner with Product teams and understand business domains.
• Expert-level SQL skills focusing on complex transformations, performance optimization, and scalable modeling.
• Hands-on experience with dbt, BigQuery, and building data products in Looker.
• High ownership and the ability to lead cross-functional projects from concept to delivery in a fast-paced environment.
• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• Excellent communication skills and the ability to manage complex stakeholder relationships.

ADVANTAGES

• Proficiency in Python for data processing, automation, or AI-driven workflows.
• Hands-on experience implementing AI or automation within BI and analytics processes.
• Previous experience in cybersecurity or cloud-native SaaS companies.
• Familiarity with cloud provider ecosystems (AWS, GCP, or Azure).

SUMMARY

We’re looking for a hands-on Technical Project Manager and spread the power of Wiz. As part of the CTO operations team, you will focuses on improving deployment pipelines and internal tools by digging into logs, finding recurring issues, and reducing manual work. The role combines technical problem-solving with practical execution and coordination.

WHAT YOU’LL DO

• You’ll work with engineers and domain leads to help teams improve how they build and operate systems.
• Help build and maintain the Unified Maturity Table, defining the technical parameters (workflows, support packages, other metrics) and their KPIs that conclude a domain’s readiness and maturity.
• Partner with the team to refine internal AI agents by measuring the performance of their answers against human expert interventions.
• Use cluster analysis (AI) of support ticket descriptions to identify recurring patterns, then design and implement automated workflows to streamline resolution.
• Take part in driving the department’s "operating system" by facilitating design meetings, managing cross-domain syncs, and ensuring the documentation and support packages required for daily execution are current and actionable.
• Define and implement different thresholds by analyzing support ticket complexity, resolution times, and domain-specific friction.
• Transition static maturity reports into live, dynamic dashboards with trend lines.
• Lead design meetings to establish cross-functional standards for domain maturity and system health alerts.

WHAT YOU’LL BRING

• 3–6 years of hands-on experience as a Software Engineer, Data Engineer, SRE, or Solutions Engineer.
• Proficiency in querying and analyzing large datasets (SQL, Python, or similar) to diagnose system bottlenecks and deployment failures.
• A proven track record of taking manual, "friction-heavy" processes and building automated, scalable engineering solutions.
• Experience with prompt engineering, RAG concepts, and auditing AI model outputs for accuracy and reliability.
• Ability to translate complex technical friction into a prioritized roadmap for stakeholders and senior leadership and lead the project to the finish line.

By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy and that you consent to the retention of your application for consideration for future opportunities at Wiz.

SUMMARY

We’re looking for a talented Data Engineer to join our Data team and spread the power of Wiz.  The Data team develops and maintains the infrastructure for internal data and product analytics. We are looking for data enthusiasts, independent, logical thinkers with a can-do approach and a passion for problem-solving. We run a SaaS-based stack using BigQuery, Snowflake and dbt.

WHAT YOU'LL DO

• Design, build, and maintain data pipelines, datasets and catalogs for fast-growing products and business groups.
• Develop self-service data analytics solutions and infrastructure.
• Support ad hoc needs and requests of internal stakeholders.
• Collaborate with analysts, engineers, and internal customers from Product, Finance, Revenue, and Marketing.

WHAT YOU'LL BRING

• Bachelor’s or Master’s degree in a relevant technical field, or equivalent hands-on experience in software development or DevOps.
• 3+ years of experience working as a Data Engineer, including end-to-end designing, orchestrating, and building cloud-based data pipelines (e.g., Airflow, Prefect, Dagster).
• 3+ years of experience with dimensional data modeling and data warehouse implementation, specifically MPP databases like BigQuery, Snowflake, and Redshift.
• Strong knowledge of Python and Python-based data analysis tools such as Jupyter Notebooks and pandas.
• Strong SQL writing skills. Ability to write highly performant queries.
• Strong track record of executing projects independently in dynamic environments.
• Fast understanding of data and business needs and ability to translate them into data models.
• Team player with excellent communication skills.
• Containerization (Docker): Essential for reproducible environments.
• Knowledge of software engineering best practices: CI/CD concepts, code reviews, and unit testing.

ADVANTAGE

• Production-level experience with dbt, including project design, transformation, testing, and documentation.
• Infrastructure-as-Code (Terraform): Managing cloud resources (S3 buckets, IAM roles) via code.
• CI/CD pipelines (GitHub Actions/Jenkins): Automating the testing and deployment of data models.

By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy and that you consent to the retention of your application for consideration for future opportunities at Wiz.

SUMMARY

We’re looking for an Application Engineer to join the CTO team and spread the power of Wiz. In this role, you will focus on building internal tools, automating workflows, and enabling data-driven decision-making. You’ll collaborate with internal stakeholders to solve technical challenges, improve processes, and deliver scalable solutions. We’re particularly interested in candidates who have a deep understanding of designing and implementing tools and solutions for internal teams.

WHAT YOU’LL DO

• Design, develop, and maintain internal tools and automation systems.
• Collaborate with internal teams to identify inefficiencies and deliver technical solutions.
• Automate repetitive tasks and improve workflows across the organization.

WHAT YOU’LL BRING

• 4+ years of experience writing code in a high-level programming language (e.g., Python, C#, C/C++, or Go, TypeScript).
• Proficiency in SQL for data analysis, reporting, and driving data-driven decisions.
• Strong problem-solving skills and ability to work with cross-functional teams.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and version control (e.g., Git).
• Knowledge of DevOps practices (e.g., CI/CD, Docker).
• Excellent communication skills and a stakeholder-focused mindset.

ADVANTAGE

• Background in customer-facing roles (e.g., support engineering, customer engineering) with experience designing and implementing tools for those systems.
• Experience growing into tool development from within customer-focused teams.

By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy and that you consent to the retention of your application for consideration for future opportunities at Wiz.

SUMMARY

We're looking for a Threat Detection Researcher to join the Threat Research team and spread the power of Wiz. In this role, you will further develop the Cloud-native Threat Detection domain.

WHAT YOU’LL DO

• Design behavioral baselines for complex cloud environments using diverse signals, and develop high-fidelity detections based on those baselines.
• Expand Wiz's detection engine with novel and high-impact telemetry sources, pushing the boundaries of what can be detected in modern cloud environments.
• Conduct deep technical research into complex cloud services to uncover novel attack vectors.
• Investigate real-world attacks across cloud environments, identity providers (IDPs), and infrastructure-as-a-service (IaaS) platforms.
• Hunt and analyze emerging threats and active campaigns targeting cloud ecosystems.

WHAT YOU’LL BRING

• 6+ years of hands-on experience in security or threat research, with a proven track record of driving investigations to actionable, real-world impact.
• Strong self-motivation and ability to independently drive complex research projects from concept to delivery.
• Clear and effective communicator with excellent collaboration skills, comfortable working across teams and disciplines.

ADVANTAGE

• Experience conducting data-driven research and working with large-scale telemetry.
• Familiarity with cloud infrastructure (AWS, GCP, Azure), Kubernetes, and modern cloud-native architectures.
• Background in incident response, red teaming, or threat hunting.
• Hands-on experience building and shipping security detections as part of a product.
• Proficiency in Python, Go, and query languages (e.g., KQL, SQL).

By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy and that you consent to the retention of your application for consideration for future opportunities at Wiz.

About Kape Technologies

Kape is a cybersecurity company dedicated to enhancing digital experiences through privacy and protection. With over 1,000 employees across 10 global locations—including the UK, Israel, Germany, Romania, France, the Philippines, the USA, Singapore, Hong Kong, and Cyprus—we are driven by one mission: to create a safer, more secure digital world.

Job Summary

As Customer Success Data Team Lead, you will lead the analytics function supporting Customer Support/Success teams at Kape. Your mission is to turn large volumes of support and customer interaction data into actionable insights that improve customer satisfaction, operational efficiency, and product feedback loops.

You will manage and mentor a team of analysts while acting as a strategic partner to Support Leadership, Product, and Engineering. This role combines hands-on analytics with stakeholder leadership to drive data-informed decisions across support operations.

Core Responsibilities

• Lead and mentor a team of analysts, driving high analytical standards and a business-focused mindset
• Analyze end-to-end customer support journeys (tickets, resolution paths, escalations, customer effort)
• Deep-dive into key metrics such as CSAT, NPS, FCR, AHT, backlog health, and churn signals
• Identify root causes of customer friction and operational inefficiencies, providing clear recommendations
• Define and maintain core support KPIs aligned with CX and business goals
• Build and maintain scalable dashboards (e.g., Tableau) for real-time performance tracking
• Partner with Data and Engineering teams to ensure high-quality, reliable datasets
• Translate insights into actionable recommendations that impact customer experience and product improvements

Core Requirements

• Proven experience working within a Customer Support / Customer Success environment (required)
• 5+ years of experience in Data Analytics, BI, or Product/Support Analytics, including 1–2 years in a leadership role
• Strong SQL skills and experience working with large datasets
• Strong analytical thinking with a business-impact mindset
• Experience with BI tools (e.g., Tableau) and dashboard design
• Experience with experimentation (A/B testing or similar) – an advantage
• Ability to communicate insights clearly to both technical and non-technical stakeholders
• Experience working cross-functionally with senior stakeholders
• Fluent in English

We are looking for a senior, hands-on Product and Business Analyst to lead analytics within one of our core B2C app pods. This is not a reporting role. You will own the analytical direction of the pod, shape product decisions, and raise the bar on experimentation, rigor, and business impact.

You will work closely with Product, R&D, Monetization, and Marketing to drive onboarding, activation, retention, and revenue growth. The right candidate combines strong statistical depth with sharp business judgment and the ability to influence non-analytical stakeholders.

What You Will Own

Pod Performance Leadership

• Own core product KPIs across onboarding, activation, engagement, retention, and monetization
• Build and maintain a clear funnel view with defined breakpoints and drivers
• Proactively identify risks and growth opportunities, not just respond to requests
• Lead weekly and monthly business reviews with clear narratives and recommendations

Experimentation Excellence

• Lead end-to-end A B testing lifecycle: hypothesis design, sizing, guardrails, analysis, and decision framing
• Apply strong statistical thinking: power analysis, bias detection, novelty effects, false positives
• Partner with PM and R&D to improve instrumentation and experiment quality
• Ensure decisions are grounded in data and clearly translated into business tradeoffs

Data and Analytics Infrastructure

• Work deeply with SQL across large datasets including DBT
• Use Python for advanced analysis and experimentation workflows
• Operate across Databricks, Redshift, AWS environments
• Leverage Mixpanel and GrowthBook for behavioral analytics and experimentation
• Build scalable Tableau assets that drive self-serve and reduce ad hoc noise
• Define data quality standards in collaboration with Data Engineering

Stakeholder Influence and Cadence

• Translate complex analyses into simple, actionable stories
• Challenge vague assumptions and push for clarity in success metrics
• Create structure and consistency in how the pod uses data
• Raise the analytical standards across the team

Requirements

• 5+ years of experience in product or growth analytics in B2C, preferably mobile apps
• Deep experience with onboarding, activation, retention, churn, and LTV analysis
• Proven track record leading A B tests and influencing product decisions
• Strong SQL skills and high data intuition
• Experience with Python for analysis
• Experience working with experimentation platforms and behavioral analytics tools
• Ability to communicate clearly with senior stakeholders and cross-functional teams
• Independent, opinionated, and comfortable owning ambiguous problem spaces

Nice to Have

• Experience with monetization models: paywalls, pricing experiments, lifecycle incentives
• Experience building KPI monitoring and alerting frameworks
• Experience driving self-serve analytics adoption within product teams
• Exposure to applying AI or advanced modeling techniques to improve experimentation, personalization, or decision automation
• Experience with marketing analytics, including campaign performance analysis, attribution logic, channel efficiency, cohort quality, and translating acquisition data into retention and LTV insights

Who You Are

You think like a product owner but operate like an analyst.
You care about statistical rigor but know that speed matters.
You do not hide behind dashboards. You form opinions, challenge assumptions, and help the team decide what to do next.
You are comfortable being the analytical anchor of a pod and setting the standard for how decisions are made.

If you are excited about shaping product direction through data and leading analytics at a strategic level within a fast-moving B2C environment, we would love to meet you!

Similarweb is the leading digital intelligence platform used by over 4000 global customers. Our wide range of solutions is used throughout companies ranging from Fortune 5 through SMB.

We help our customers succeed in today’s digital world through data-focused insights that drive competitive benchmarks, strategic analysis, sales processes, investments, and more.  

In 2021, we went public on the New York Stock Exchange, and we haven’t stopped growing since!

We are looking for an FP&A Business Partner to join the FP&A team, as part of the Finance group.

As a FP&A Business Partner, you will work with key stakeholders in the organization to build and maintain a budget and forecast for one of our Divisions and to support Divisional and Finance leaders with analytical tools for decision making. This role provides a high level of exposure to the organization's Leadership. An ideal candidate will be comfortable navigating such a high-growth, entrepreneurial environment independently.

In your day-to-day as FP&A Business Partner at Similarweb, you will:

• Build and develop financial budgeting, forecasting, reporting, and operational metrics tracking for Company’s corporate units.
• Maintain and improve company financial and operational models, and run ad hoc analysis in various areas, including income, resource allocation, and cohort-level insight.
• Deliver insight regarding business metrics, including comparison to prior periods, highlighting key variances / trends and providing high-level commentary for use by management.
• Enable data-driven decisioning by working closely as an "analytical arm" to department heads, building business cases that shape key strategies.
• Proactively identify and analyze opportunities to drive business improvements and share actionable insights with management.

What will you bring to the team:

We are looking for someone who is excited to work in a high-growth SaaS company and be a key player in the decision making process, including go-to-market strategies, financing, and resource allocation. In order to be successful in this role, you've excelled at the following:

• Multi-data-source financial modeling.
• Advanced understanding of Excel (Power Query is an advantage).
• Excellent interpersonal skills and ability to create and maintain relationships with key stakeholders.
• Translating quantitative measurements into operational understanding.
• Thriving in a fast-paced environment and prioritizing deliverables.

The ideal candidate should have:

• B.A. or B.Sc. in Economics/Statistics/Business. MBA or MA is a plus
• 1-3+ years of FP&A or other relevant experience
• Prior experience with Tableau, Salesforce, and Google Sheets is a plus.
• High proficiency in SQL - significant plus.
• Proven experience working closely with BI teams and building complex, data-driven financial models using multiple data sources - significant plus.
• Proven experience in creating and building automated workflows and processes for Finance / FP&A work - significant plus.
• In-depth understanding of the flow / construction of financial models and prior experience in working with company forecasts / budgets
• Ability to communicate data clearly to various company stakeholders.
• Understanding of SaaS and relevant industry metrics.

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 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.

You’ll find a home for your big ideas:  We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll 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 it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. Diversity isn’t 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.

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here, as applicable: https://www.similarweb.com/corp/legal/applicant-privacy-policies/

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in today's digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.

In 2021, we went public on the New York Stock Exchange, and we haven't stopped growing since!

We are looking for a Product Manager to join our Gen AI Intelligence team, owning the end-to-end data platform that powers our next-generation products.

The Opportunity: Why This Role, Why Now

The marketing world is undergoing its biggest shift in a decade. Discovery is no longer just "search"—it's increasingly mediated by AI. Users are asking questions in ChatGPT, Perplexity, and Google AI Overviews, and the traditional "search → click → website" funnel is fragmenting. This shift has created a new discipline: Generative Engine Optimization (GEO) and AI Engine Optimization (AEO).

Similarweb is uniquely positioned to lead this space. We have proprietary data that reveals not just what AI shows users, but what users actually do next—which channels they visit, where demand flows, and how brands win (or leak) visibility. Our mission is to help marketers understand their visibility in AI platforms, connect that visibility to downstream business outcomes, and take action to improve.

The Impact of This Role

As a Product Manager for our GenAI team*, you will own the data backbone of Gen AI Intelligence. You'll need to be sharp on how to combine, utilize, and analyze diverse data sources** to answer the questions our customers need answered.

You'll work at the intersection of our Data Science team, Data Engineering team, and Platform team—turning raw data assets into user-facing products. But building the right products requires understanding the domain: you'll dig into SEO/GEO workflows, spend time with customers and design partners, and learn how marketing teams actually operate. The goal is to let user context drive your data decisions.

Your core mandate:

• Own a product area end-to-end within Gen AI Intelligence—from the underlying data and pipelines, through the user-facing experiences, to how customers extract value via APIs and integrations.
• Define what data we need, how we structure it, and how we expose it to users and downstream systems
• Deeply understand user workflows and jobs-to-be-done to identify the highest-leverage data solutions
• Partner with Data Science to translate models and extractions into usable, reliable data pipelines
• Ensure data quality, coverage, and governance across our Gen AI data estate
• Drive product development end-to-end: from discovery through definition, prototyping, design, development, and deployment—with continuous iteration
• Collaborate across a multi-disciplinary team: data scientists, data engineers, full-stack developers, UX designers, product marketers, and business stakeholders

What you'll do day-to-day

• Obsess over user context: Understand how SEO practitioners, content marketers, and marketing leaders actually work—what questions they're trying to answer, what data would unlock value, and where current solutions fall short
• Define data products end-to-end: From discovery through definition, schema design, pipeline development, and delivery—ensuring consistent quality and velocity
• Connect data to user outcomes: Work closely with product teams that consume your data (reporting UX, recommendations, APIs) to ensure the data products actually solve user problems
• Partner deeply with Data Science and Engineering: Translate DS models into production-ready data products; define requirements for data engineering pipelines; prioritize platform investments; 
• Define the core metrics, datasets, reports, and insights that will be made available to our users through our SaaS platform, APIs and MCPs.
• Own data quality and coverage: Define metrics for data completeness, accuracy, and freshness; build feedback loops to continuously improve
• Make tradeoffs with evidence: Use quantitative and qualitative analysis and user research to prioritize ruthlessly—not everything can be built, so you need to know what matters most

This is the perfect job for someone who has:

Must-haves:

• 3+ years as a Product Manager on data-centric products (data platforms, analytics products, ML-powered features, or similar)—you've shipped data products that users depend on
• Experience working in a data company or on data products where the core value proposition was derived from data (not just "we use data")
• Strong analytical and data skills: You're comfortable querying data, analyzing patterns, and making data-informed decisions. You can hold your own in conversations about data modeling, schemas, and pipelines
• Deep user empathy and research skills: You don't just build what stakeholders ask for—you dig into user workflows and jobs-to-be-done to find the real problem worth solving
• Experience working with Data Science and Data Engineering teams: You know how to translate between DS/ML outputs and production systems, and you understand the tradeoffs involved
• Strong communication skills: You can write a clear PRD, present to leadership, and align cross-functional teams around a shared vision

Strong pluses:

• SQL proficiency: You can write queries to explore data, validate hypotheses, and QA outputs
• Python or other scripting ability: You can prototype analyses, automate checks, or dig into data yourself when needed
• Experience in digital marketing, SEO, or adjacent domains: Understanding of how marketers think about search, content, and visibility
• Experience with B2B SaaS and enterprise customers: You understand long sales cycles, packaging, and the needs of mid-market/enterprise buyers

Mindset:

• Curiosity over credentials: You want to understand how things work, not just ship features
• Bias for action: You'd rather test a hypothesis with an imperfect solution than wait for perfect information
• Comfort with ambiguity: GEO/AEO is a new space—you'll help define what "good" looks like, not just execute a playbook

Why you'll love being a Similarwebber

You'll work on a genuinely new problem space: GEO and AI visibility is an emerging category. You won't be iterating on a mature product—you'll be defining what the product should even be.

You'll have access to unique data assets: Similarweb's real-user behavioral data is genuinely differentiated. You'll get to figure out how to turn that into user value—a rare opportunity.

You'll actually love the product you work with: When we asked our employees why they chose to come work at Similarweb, 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.

You'll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You'll 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: Whether it's Career Week, personalized coaching, or our ongoing learning solutions, you'll find all the tools and opportunities you need to develop your career right here.

Diversity isn't just a buzzword: 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 will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

At Similarweb, we build some of the most comprehensive and unique views of how the digital world actually works.

The Data for AI team is a small, specialized group within Similarweb, working closely with a select set of the world’s leading AI organizations (mostly foundational model companies). The team’s mission is to enable these companies to improve their models and AI assistants by applying Similarweb’s data to real-world AI use cases.

The work involves deep collaboration with AI teams and a strong focus on data quality, scale, and applicability to modern machine learning systems. The team operates in a lean, high-ownership environment and plays a direct role in shaping how Similarweb’s data is used in advanced AI products.

About the Role

We’re looking for a Data Analyst to join the Data for AI team. This is a hands-on, customer-facing role focused on working with leading AI companies to turn real-world data into inputs that support model development and evaluation.

You’ll collaborate closely with external AI teams and internal engineering and product partners to deliver data-driven solutions for specific AI use cases. The work is fast-paced, technical, and often open-ended, requiring comfort with large datasets, ambiguous requirements, and end-to-end ownership.

What does the day-to-day looks like:

• Own end-to-end delivery of data solutions for AI use cases, from understanding model and product requirements to analysis, implementation, quality, and automation
• Work hands-on with large, raw datasets to create high-quality data inputs that support model training, evaluation, and iteration
• Apply strong quantitative analysis and data exploration skills to assess coverage, quality, and behavior of data used in AI systems
• Build scripts, analyses, and reusable components in Python and SQL to support scalable and repeatable workflows
• Collaborate closely with Engineering to ensure solutions are reliable, scalable, and production-ready
• Partner directly with external AI teams and internal stakeholders to translate open-ended questions into concrete data outputs

This role is a good fit if you have:

• 4+ years of hands-on experience working with large-scale data using SQL and Spark or BigQuery
• Strong Python skills for data analysis, scripting, and building reusable workflows
• Experience working with raw, imperfect data and turning it into reliable, high-quality outputs
• Strong analytical and problem-solving skills, with the ability to break down open-ended or ambiguous requirements
• Ability to take end-to-end ownership of data projects, from exploration to delivery
• Some hands-on experience with LLM-based systems, such as running inference via APIs, experimenting with prompts, or participating in basic evaluation or testing workflows
• Clear communication skills in English and experience working directly with external stakeholders

Nice to have:

• Deeper hands-on experience with LLMs in production or experimentation, for example prompt engineering, batch inference, or structured evaluation using APIs such as OpenAI, Anthropic, or similar providers
• Familiarity with agent frameworks or orchestration layers (for example LangChain, LlamaIndex)
• Experience with LLM evaluation or monitoring workflows, including offline evals, prompt regression testing, or tools such as LangSmith, Weights & Biases, TruLens, or Ragas
• Experience experimenting with open-source or local models (for example via Ollama, vLLM, or Hugging Face tooling)
• Familiarity with cloud-based data infrastructure, including AWS

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 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.

You’ll find a home for your big ideas:  We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll 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 it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t 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 Similarweb, we’re revolutionizing how businesses understand the digital world by showing them everything that happens online. Our unique data and solutions empower over 13,000 customers worldwide including Google, eBay, and Adidas — to make game-changing decisions that drive their digital strategies. We went public on the New York Stock Exchange in 2021, and we’re still reaching new heights! Come join Similarwebbers across the globe who are bright, curious, practical, and genuinely good people.

About the Role

We’re looking for a Product Analyst to join our team and act as a central pillar between our data, our product, and our business strategy.

This isn’t a role for someone who just wants to answer tickets. You will be embedded with Product Managers and Growth leaders to not only provide data but to help shape the roadmap and influence how we build, launch, and monetize our products. We are looking for an analyst with a "business partner" mindset, someone who can look at a dataset and see the commercial opportunity or the user friction point before others do.

What You’ll Do

• Strategic Partnership: Work alongside PMs and leadership to define success metrics for new features and long-term growth initiatives.
• Full-Funnel Ownership: Design and measure KPIs across the entire user journey, from initial activation to complex monetization and retention loops.
• Proactive Discovery: Conduct deep-dives to uncover hidden bottlenecks. You won't just report on what happened; you'll recommend what we should do next.
• Narrative Building: Translate complex technical data into clear, "bottom-line first" narratives that drive action across the company.
• Cross-Functional Support: Act as the analytical bridge, supporting multiple product domains and ensuring a consistent, data-driven approach to every decision.

What We’re Looking For

• SaaS Experience: At least 2 years of experience as an analyst within a SaaS environment. You understand the core levers of a subscription business (ARR, Churn, PLG etc).
• Technical Versatility: High proficiency in SQL and experience with BI tools (Looker, Tableau, etc.). You are comfortable picking up new tools and datasets quickly.
• Commercial Intuition: You have a natural ability to connect user behavior to business outcomes. You understand that data is only valuable if it leads to a decision.
• Drive & Curiosity: You are a self-starter who takes extreme ownership. You don't wait for the "perfect" brief; you dig in and find the answers.
• Strong Communicator: You can present technical findings to non-technical stakeholders in a way that is clear, persuasive, and insightful.
• Degree: B.Sc. in Industrial Engineering, Economics, Statistics, or a related quantitative field.

Why You’ll Love Being a Similarwebber

• Impact: Your work will influence both product and business strategy across our global customer base.
• Growth: We foster a culture of open dialogue where big ideas are encouraged. This role offers real room to grow in scope and influence.
• Product: You’ll work with the world’s most powerful digital intelligence platform and actually love it.
• Culture: We’re inclusive, innovative, and supportive.

#LI-Onsite

At Similarweb, we’re revolutionizing how businesses understand the digital world by showing them everything that happens online. Our unique data and solutions empower over 13,000 customers worldwide — including Google, eBay, and Adidas — to make game-changing decisions that drive their digital strategies. We went public on the New York Stock Exchange in 2021, and we’re still reaching new heights! Come join Similarwebbers across the globe who are bright, curious, practical, and genuinely good people.

About the Role

We’re looking for an Analytics Engineer to join our team and play a key role in shaping how data drives our product and business decisions.

This role is perfect for someone who enjoys working at the intersection of data, product, and strategy. While Product Analysts focus on turning data into insights, you’ll focus on building the strong data foundations that make those insights possible. You won’t just run queries; you will design the data architecture and own the "source of truth" tables that power our strategic decision-making.

You’ll work closely with our Growth and Solutions teams, helping them move faster and smarter by making sure the data behind Generative AI, Data-as-a-Service (DaaS), and advanced product models is clear, reliable, and easy to use. Your work will have a direct impact on how we build, scale, and innovate our products.

What You’ll Do

• Define the Source of Truth: Take raw, complex data and transform it into clean, well-structured tables that Product Analysts and Business Leads can use for high-stakes decision-making.
• Translate Strategy into Logic: Work with Product, Growth, and Solutions leads to turn abstract concepts (like "Activation," "Retention," or "Feature Adoption") into precise SQL definitions and automated datasets.
• Enable High-Tech Initiatives: Partner with our AI and DaaS specialists to ensure they have the structured data foundations they need to build models and external data products.
• Optimize for Usability: Ensure our data is not just "there," but easy to use. You will design the data logic that powers our most important product dashboards and growth funnels.
• Maintain Data Integrity: Act as the guardian of our metrics. You will ensure that the numbers used across our product and business reports are consistent, reliable, and logical.

What We’re Looking For

• Expert SQL Mastery: You are a SQL power-user. You enjoy solving complex logic puzzles using code and care deeply about query efficiency and data accuracy.
• The "Bridge" Mindset: You can sit in a meeting with a Product Manager to understand a business need, and then translate that into a technical data structure that serves that need.
• Logical Architecture: You have a natural talent for organizing information. You know how to build a table that is intuitive and easy for other analysts to query.
• Product & Business Acumen: You understand SaaS metrics (ARR, funnels, activation, etc.) and how data logic impacts product growth and strategy.
• Experience with Analytics Tools: Proficiency in BI tools (Looker, Tableau, etc.) and a strong understanding of how data flows from technical logs to the end-user interface.
• Degree: B.Sc. in Industrial Engineering, Information Systems, Economics, Computer Science or a related quantitative field.
• Experience: 1+ years of prior experience in a relevant analytics/technical role

Why You’ll Love Being a Similarwebber

• Impact: You are the architect of the data that drives our newest engines (Gen AI & DaaS). Your work literally powers the team's ability to innovate.
• Growth: You will work on the cutting edge of the data stack, gaining exposure to AI implementation and high-scale data logic.
• Collaboration: Our best work comes from face-to-face teamwork in the office, with flexibility to work part-time from home.
• Culture: We’re inclusive, innovative, and supportive. We foster open dialogue and encourage big ideas.
• Perks: Competitive compensation, strong emphasis on well-being, and plenty of opportunities for team bonding.

The opportunity
SuperSonic is looking for a passionate Senior Data Scientist, to work end to end on some of our core problems. Solving these will help drive revenue and improve decision making.

As a Senior Data Scientist you will be handed a business problem and will be asked to provide an end to end solution - Unpack and thoroughly understand the business problem, define the strategy to deal with it and develop & deploy your solution along with relevant support.

What you'll be doing

• Design and implement end-to-end solutions - from business needs all the way to live deployment
• Monitor and own models in production
• Model, design, and implement machine learning and data mining algorithms
• Perform deep data analysis to evaluate performance and recommend improvements
• Help, guide and support our business partners to allow for scale and accuracy while adopting your solutions

What we're looking for

• At least 5 years of experience as data scientist /researcher, combining excellent hands-on SQL and Python skills
• At least 5 years of experience applying ML algorithms to solve real world business problems (e.g., Logistic Regression, Gradient Boosting Machines, Neural Networks, and unsupervised clustering)
• B.Sc in Computer Science, Statistics, Operations Research or equivalent
• Solid background with data lake and data warehouse technologies
• Great communication skills, Hands-On, independent and out of the box thinker

You might also have

• Experience in the Mobile gaming and advertising industries
• Proven experience with Airflow development
• Experience with big data technologies such as Spark, Trino, SingleStore DB
• Experience with Cloud Computing

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

Staff Data Engineer - Data Platform 

Capitolis | Tel Aviv | Full-time 

About the Role 

Capitolis is a leading financial technology company that optimizes capital markets through innovative technology solutions. We work with the world's largest financial institutions to improve capital efficiency and reduce risk in their operations. 

We're building an enterprise-wide data platform to unify data from across our applications and systems. We're looking for a Staff Data Engineer to architect and build our AWS + Snowflake data lakehouse, integrate diverse data sources, and enable AI agents to deliver insights to internal teams and external users. 

You'll be the technical leader establishing our data infrastructure from the ground up — building pipelines, setting engineering standards, and creating patterns the team can scale. You'll report to our head of DevOps. 

What You'll Do 

• Build the data platform: Design and implement our data lake on AWS (S3, Glue, Lake Formation) with Snowflake as the analytics layer 

• Enterprise integrations: Create robust pipelines ingesting data from finance systems, applications, and third-party sources using CDC and API integrations 

• Enable AI-driven insights: Build semantic layers and APIs that allow AI agents to query and analyze data securely 

• Optimize for scale: Implement performance tuning, cost optimization, and data quality monitoring across the platform 

• Establish best practices: Define data modeling patterns, governance frameworks, and engineering standards 

• Mentor and lead: Guide engineers on data platform architecture and implementation 

Requirements 

Must-Have: 

• 8+ years in data engineering with 5+ years building data platforms 

• Deep expertise with AWS data services: S3, Glue, Lake Formation, IAM, Step Functions/MWAA 

• Production experience with Snowflake: Snowpipe, virtual warehouses, RBAC, performance optimization 

• Strong Python and SQL skills with focus on data processing and optimization 

• Experience integrating enterprise systems (ERP, CRM, finance platforms) 

• Built real-time or near real-time data pipelines (CDC, streaming) 

Strongly Preferred: 

• LLM/agent integration with data platforms (semantic layers, API design) 

• Data governance and security implementation at scale 

• Change Data Capture tools (Glue DMS, Debezium, Fivetran) 

• Infrastructure as Code (Terraform) 

Nice to Have: 

• Kinesis or Kafka for streaming data 

• Vector databases for AI/ML applications 

• Open source contributions to data tools 

What We're Looking For 

• Builder mindset: You write code and ship infrastructure, not just design architectures 

• Pragmatic decision-making: You balance perfect solutions with delivering value quickly 

• Technical leadership: You establish patterns and mentor through hands-on work 

• Self-starter: Comfortable with ambiguity and defining the path forward 

• Strong communicator: Can translate technical concepts for diverse stakeholders 

Tech Stack 

AWS (S3, Glue, Lake Formation, Lambda, Step Functions), Snowflake, Python, Git 

• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

We’re looking for a team player with excellent interpersonal skills & service oriented. Creative & out of the box thinker. An autodidact, quick, effective and versatile who’s able to change directions in midstream. Independent & Accountable.

As a Senior DevSecOps Engineer at Payoneer, you’ll play a critical role in embedding security throughout the software development lifecycle (SDLC). You’ll help design, implement, and maintain security controls and automations across our CI/CD pipelines, infrastructure, and application stack.

What you'll do:

• Integrate and maintain security tools across the CI/CD pipeline:
  • SAST (e.g., SonarQube)
  • SCA (Software Composition Analysis) / Dependency Scanning (e.g., Snyk, Trivy, GitHub Dependabot)
  • Secret Detection (e.g., Gitleaks, HashiCorp Vault)
  • Container/Image Scanning (e.g., Aqua, Prisma Cloud, Trivy)
• Drive security automation and enforcement for:
  • Infrastructure as Code (e.g., Terraform)
  • Configuration Management (e.g., Ansible, Chef)
  • GitOps workflows (e.g., ArgoCD)
  • Embed security guardrails and best practices across the SDLC
  • Automate compliance checks (e.g., OWASP Top 10, CIS Benchmarks) into development workflows
  • Integrate with observability and monitoring systems (e.g., Prometheus, Grafana, ELK, Coralogix)
• Collaborate cross-functionally with Product, QA, Development, and IT/Ops teams to continuously improve the security posture
• Participate in on-call rotations for production systems as needed

Who you are:

• At least 3 years’ experience as DevOps/DevSecOps/Security Engineer
• A minimum of 3 years of exposure running production workloads (AWS, Azure or GCP)
• Experience with CI/CD tools and source control management tools (e.g., Git, Azure DevOps, SonarQube, Artifactory etc...)
• Proven experience securing CI/CD pipelines
• Expertise in SCA, SAST, secret scanning, and container security
• Hands-on experience with Kubernetes, Docker, and GitOps tooling (ArgoCD or Flux)
• Proven Scripting capabilities: (e.g. PowerShell/Bash/Python)
• Experience with logging, SIEM, and monitoring platforms
• Experience with IAM, secrets management, and compliance frameworks (SOC2, ISO, etc.)
• High level Linux OS expertise
• Strong troubleshooting skills
• Proactive by nature; internal drive for excellence and improvement
• BS degree in computer science, computer engineering, relevant technical discipline or equivalent practical experienc

Advantage:

• Experience with relational and non-relational databases (Oracle, PostgreSQL, SQL, MongoDB) Experience with software development and development frameworks
• Experience with event streaming and messaging platforms such as Kafka, RabbitMQ
• Knowledge and understanding Storage and Networking

#LI-AG2

We are looking for a Senior AI Prompt Engineer who will own the design, development, and optimization of AI Agent experiences built on the Zowie AI platform. You will engineer the prompts, system instructions, guardrails, and multi-turn conversational flows that power our customer-facing AI Agents across chat and email-automation channels.
This is not a surface-level content role — you will operate at the intersection of language, logic, and AI behavior, shaping how our agents reason, respond, escalate, and self-correct. As part of the Digital & AI team, you will collaborate closely with Product, Engineering, AI/ML, Analysts, CX, Operations, and Localization teams to deliver intelligent, scalable, and trustworthy conversational solutions.

What you'll do:

• Design, write, and optimize AI-driven conversational experiences, including system prompts, guardrails, tool-use instructions, and multi-turn flows across chatbot and email-automation channels.
• Engineer and maintain reusable prompt frameworks, templates, and conversation patterns that ensure consistency in tone, safety, domain accuracy, and localization across markets on multiple channels such as AI Chat, Ai email bot, AI Voice bot.
• Define and refine AI Agent behavior across user scenarios, edge cases, error states, escalation paths, and regulatory/compliance requirements.
• Own end-to-end conversational journeys — from problem discovery and use-case research through design, prompt engineering, testing, deployment, and iterative optimization.
• Build and maintain prompt evaluation pipelines — designing test cases, scoring rubrics, and regression tests to systematically measure prompt quality, hallucination rates, and task-completion accuracy.
• Monitor, analyze, and improve AI Agent performance using analytics dashboards, QA outputs, hallucination findings, user feedback, and operational metrics; translate insights into concrete prompt improvements.
• Collaborate cross-functional with Product, Engineering, AI/ML, CX, and Operations teams to identify high-impact use cases, define agent capabilities, and deliver scalable solutions.
• Contribute to internal prompt engineering guidelines, conversational design systems, and AI best practices — helping establish Payoneer’s standards for responsible, effective AI Agent deployment.
• Stay current with advancements in LLMs, agentic AI patterns, prompt optimization strategies, and conversational AI tooling; bring relevant innovations into the team’s workflow.

Who you are:

• 3–4+ years of hands-on experience working with Large Language Models (LLMs) — including prompt engineering, system prompt design, and LLM-based application development (e.g., OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini).
• English proficiency — Mandatory (native or near-native written English; this role is language-critical).
• Proven experience designing, deploying, and optimizing AI-powered conversational experiences (chatbots, AI agents, email automation, Voice bot or virtual assistants).
• Coding/scripting experience (Python, JavaScript) for prototyping, automation, or prompt testing.
• Experience with AI Agent architectures and concepts — tool use, function calling, RAG, multi-step reasoning, guardrails, and escalation logic.
• Strong analytical skills — comfortable working with conversation analytics, A/B testing prompt variants, and using data to drive design decisions.
• Experience designing for multilingual and multicultural audiences.
• Ability to collaborate with developers and data teams to implement, test, and iterate on AI flows.
• Familiarity with version control practices for prompt management and documentation.
• Excellent stakeholder management — able to align multiple teams around conversational strategy and priorities.

Advantages:

• Experience with conversational AI platforms (e.g., Zowie ai, Kore.ai, Yellow.ai, Ada, Cognity).
• Knowledge of SQL or analytics/BI tools for performance analysis.
• Background in customer service, contact center, or fintech environments.
• Experience with UX writing, content design, or conversation design as a discipline.
• Familiarity with AI safety, responsible AI frameworks, and compliance considerations in regulated industries.
• Understanding customer journey mapping and service design methodologies.
• Experience with Figma or similar design tools for flow visualization.

#LI-AG2

Role summary –

As a Backend Engineer in the Pricing & Packaging R&D crew, you’ll help build our monetization platform from the ground up: pricing and packaging engines that power a global payments platform. You’ll work end-to-end on features – from discovery and design through implementation, testing, deployment, and monitoring – using modern AWS-based technologies and leveraging modern AI tools, while maintaining best engineering practices and high quality. This is a chance to join early, influence how things are built, and grow with the team.

What you’ll do –

• Collaborate closely with Product, Design/UX, DevOps, and other R&D teams to understand business needs and translate them into technical solutions, covering full development lifecycle: discovery, design, implementation, code reviews, testing, deployment, and monitoring.
• Design, build, and maintain backend services and APIs for pricing, packaging, and monetization flows, in Node.js and C# over relational and document-based databases (SQL, MongoDB), running on AWS, using containers and Kubernetes.
• Write clean, maintainable, and testable code, following engineering best practices.
• Integrate with message brokers (e.g., Kafka, SQS, RabbitMQ) to build robust, event-driven services.
• Contribute to improving our CI/CD pipelines, observability, and production readiness (logs, metrics, alerts, dashboards).
• Continuously learn and share knowledge with the team, contributing to a culture of excellence, ownership and continuous improvement while building each other up.

Who you are:

• B.S. in Computer Science or equivalent practical experience.
• 6+ years of experience with backend development in Node.js, preferably combined with practical experience in C#.
• 3+ years of hands-on experience with relational databases and advanced SQL (MSSQL/Oracle/MySQL/PostgreSQL, etc.).
• Strong experience building SaaS or cloud-based platforms, preferably on AWS.
• Solid experience with containers and Kubernetes (K8s); EKS experience is an advantage.
• Strong experience with message brokers (e.g., Kafka/SQS/RabbitMQ) and event-driven architectures.
• Proven experience designing and building microservices in production environments.
• Deep understanding of OOP, design patterns, and clean architecture principles.
• Strong sense of ownership, accountability, and product mindset – you care about business impact as much as technical elegance.
• Experience with engineering best practices: code reviews, unit/integration testing, CI/CD, monitoring, and Agile methodologies.
• Excellent communication and collaboration skills; comfortable leading discussions and aligning multiple stakeholders.
• Ambitious, curious, and eager to learn and introduce new technologies and practices where they add value.

Role summary: 

We're looking for a skilled BI Developer to design and maintain our data layer. In this role, you'll translate complex business needs into powerful, actionable insights, collaborating with various teams to deliver solutions that drive informed decision-making. If you're a proactive problem-solver with a passion for leveraging big data technologies, this is a great opportunity to make a real impact in a dynamic, data-rich environment. 

What you’ll do:  

• Design, develop, and deploy end-to-end BI and analytics solutions in the Google Cloud environment, primarily using BigQuery, dbt, and Looker, across the full lifecycle: data transformation, modeling, testing, and production deployment.
• Translate business requirements into technical specifications, including defining data models, establishing relationships between data entities, and incorporating business logic into the analytical layer.
• Provide ongoing BI support to the Finance department, including preparation of monthly reports, ad hoc analyses, and compliance with regulatory requirements.
• Develop and maintain data pipelines to support BI solutions.

Who you are?  

• 5+ years of experience as a BI Developer, with expert-level proficiency in SQL.
• Hands-on experience with a major BI reporting tool such as Looker, Tableau, or other analytical tools.
• Strong experience designing and building data pipelines / ELT workflows, ideally in modern cloud data environments.
• Proven ability to independently lead complex technical tasks, collaborate with other developers, and drive delivery from data sources and transformation through semantic modeling and final reporting.
• Proven ability to translate complex BI requirements into manageable technical tasks, spanning the process from data sourcing to final report.
• Demonstrated experience in designing and developing detailed reports.
• An open-minded, inquisitive, and enthusiastic learner with a readiness to embrace modern technologies and adapt to new challenges.
• Advanced analytical capabilities, effective multitasking skills, and a strong aptitude for creative problem-solving.

#LI-Hybrid 
#LI-CA1

Israel
Hybrid
Full-time

We are looking for a versatile, autodidact Senior DevOps Engineer - someone who learns fast, thinks laterally, and isn't afraid to pivot mid-stream when the mission changes.
You are independent and accountable, but you thrive in a collaborative ecosystem. If you’re a service-oriented problem solver who views "infrastructure as code" as a craft, we want to talk.

What You'll do:

As a core member of our infrastructure team, you will bridge the gap between development and operations, ensuring our hybrid-cloud environment is seamless, scalable, and resilient.

• Architect & Implement: Lead the design of hybrid-cloud solutions with a heavy focus on cloud best practices.

• Own the Production: Take full accountability for production environments, ensuring 24/7 stability, availability, and performance.

• Automate Everything: Replace manual toil with elegant automation using Terraform, Crossplane, and Ansible.

• Bridge the Hybrid Gap: Maintain and optimize application layers across both cloud and private cloud environments.

• Cross-Functional Partnership: Collaborate with Product, QA, and Dev teams to streamline CI/CD pipelines and remove delivery bottlenecks.

• Resilience: Participate in a rotating On-Call schedule to keep our high-volume systems humming.

Who you are:

• The Experience: 7+ years in DevOps, SRE, or Platform Engineering, with at least 5 years specifically managing high-scale cloud production workloads (AWS / GCP).

• Orchestration: Deep expertise in Kubernetes and OCI container ecosystems.

• IaaC Mastery: Advanced scripting and deployment skills in Terraform (Crossplane is a major plus).

• CI/CD: Proven track record of designing and maintaining robust CI/CD pipelines to ensure seamless code-to-production workflows.

• Networking & Connectivity: Strong grasp of advanced networking concepts, including VPCs, Load Balancing, DNS, Service Mesh, and hybrid-cloud connectivity.

• Security & Compliance: Commitment to Security Best Practices - implementing "Security as Code," IAM least-privilege principles, container security, and secret management.

• Version Control: Expert-level proficiency with Git, including advanced branching strategies and repository management.

• Linux & Scripting: Strong Linux administration background with proficiency in Python, Bash, or PowerShell.

• Observability: Hands-on experience with Prometheus, Grafana, and ELK to diagnose and resolve complex production issues.

• Trouble Shooting: Fluent and comfortable working in the Linux terminal.

• Education: BS in Computer Science, Engineering, or equivalent practical "in-the-trenches" experience.

Advantage:

• Cloud Certified: AWS Professional level certifications (Solutions Architect or DevOps Engineer).

• Modern Delivery: Experience with GitOps workflows (ArgoCD or Flux).

• Messaging: Familiarity with Kafka or RabbitMQ.

• Legacy/Hybrid: Experience with VMware, SQL/NoSQL databases, or older SCM tools like TFVC.

• Dev Background: You’ve spent time on the "other side" writing software or working with dev frameworks.

#LI-AG2

What you'll do:

• Own the end-to-end technical health, stability, and scalability of operational systems and internal tools
• Manage and continuously optimize the Zendesk ticketing ecosystem, including workflows, integrations, and automation
• Lead the design and development of automated and self-service solutions to reduce manual effort and improve operational efficiency
• Own the resolution of complex technical issues, from investigation through root cause and permanent fix
• Plan and execute work within a two-week sprint cycle, balancing operational reliability with continuous improvement and innovation
• Design, build, and maintain system integrations and new platform capabilities supporting Operations and CX teams
• Leverage AI capabilities (including LLM-based applications and multi-agent systems) to enhance system intelligence and automate decision-making
• Identify manual, repetitive processes and transform them into scalable, AI-driven workflows
• Partner closely with Operations, Product, and Engineering stakeholders to translate business needs into technical solutions
• Ensure internal tools are reliable, observable, secure, and continuously evolving through proactive improvements and monitoring

Who you are:

• AI & Prompt Engineering: Proven experience leveraging cutting-edge AI tools and Large Language Models (LLMs) to accelerate development, automate complex tasks, and enhance solution quality. Must demonstrate an ability to craft sophisticated prompts and integrate AI outputs into functional workflows.
• Azure Platform Expertise: Hands-on experience building and managing solutions within the Azure ecosystem, specifically:
  • Function Apps (Serverless compute)
  • Automation Accounts (Process automation and configuration)
  • Logic Apps (Workflow orchestration)
  • Azure DevOps (Boards, Repos, and Pipelines)
• API Integration: Proven experience working with REST APIs to connect disparate systems and build cohesive technical ecosystems.
• Agile & Operations: Must have experience working within a formal ticketing system (ZenDesk, SF) and delivering work through structured sprints.
• Business Translation: A demonstrated ability to take high-level business requirements and architect the technical "how-to" from scratch.
• Problem Solving: Excellent analytical skills with a track record of troubleshooting complex environment issues independently.
• Ability to work independently and manage multiple tasks effectively
• Microsoft Power Platform: Experience with Power Apps or Power Automate.

Advantage:

• Data & Scripting: Advantage for candidates with strong proficiency in data manipulation and scripting (PowerShell, Bash, or SQL).
• Coding: Advantage Experience with Python coding is a significant plus.
• Familiarity with additional languages.

#LI-AG2

Location:

Hybrid, Full-time.

What you’ll do

You will lead a Cloud Modernization Commando, an elite team, a high-impact engineering unit, focused on accelerating cloud modernization across the R&D teams in the organization. The team operates as a force multiplier, taking on complex, high-prioritized, and high-value cloud initiatives that require deep technical expertise, fast execution, and cross-team influence.

You will lead the full cycle from the front, designing, building, and validating modern cloud patterns, unblocking critical initiatives, and setting technical direction that other teams can confidently adopt. It is not a long-term feature delivery team, and stakeholders change per mission, yet it’s a mission-driven squad that engages where impact is highest, establishes momentum, and then hands over ownership to product teams.

Who you are

You are a seasoned, hands-on, engineering leader with a proven ability to create clarity, drive momentum, and take ownership in fast-moving, complex environments. You excel at breaking down ambiguous problems, aligning stakeholders, and moving initiatives from concept to execution with urgency and focus.

You bring deep cloud and architectural expertise, balancing strategic thinking with pragmatic delivery. You know when to design scalable, long-term patterns and when to deliver targeted, tactical solutions that unblock teams and accelerate progress across the organization.

You thrive in cross-team environments, earning trust, influencing without authority, and collaborating closely with product, architecture, security, and infrastructure groups to ensure alignment, adoption, and sustained impact.

Skills you are bringing with you

· 4+ years as Team Lead or Tech Lead

· 6+ years of experience with backend development, preferably C# and Node.js

· 6+ years of experience with advanced SQL (MSSQL/MySQL/PostgreSQL, etc.)

· 4+ years of experience with NoSQL database, preferably MongoDB

· Experience with building SaaS platforms for cloud-based products, preferably AWS

· Experience with Containers and Kubernetes (K8s), preferably EKS

· Experience with Event-Driven Architecture

· Experience with Message Brokers such as RabbitMQ/SQS/Kafka, preferably Kafka

· Experience with Microservices development

· Experience with AI tools for leveraging team velocity & quality

· B.S. in computer science or equivalent

#LI-CD1

Role summary -

Hybrid
Full-time

As an R&D Team Leader in the Pricing & Packaging R&D crew, you’ll be a key contributor to designing and building our monetization platform – pricing and packaging engines that drive the core business model of our payments platform. You’ll own complex features end to end, influence architecture and standards, mentor your team members, and help shape how we design, build, deploy, and operate services in AWS. This is a hands-on senior role with significant impact and room to lead technical changes. 

What you’ll do

• Collaborate closely with Product, Design/UX, DevOps, and other R&D teams
• Lead an autonomous team of software engineers who are working closely with product management for achieving business goals
• Put special focus on developing the team
• Provide technical authority to your team by demonstrating a hands-on leadership style
• Be responsible for the overall design, development, architecture, code quality, and production environment deployment of your team

Who you are -

• B.S. in computer science or equivalent
• 8+ years of experience with backend development in Node.js, combined with practical experience in C#.
• 3+ years of experience with advanced SQL (MSSQL/Oracle/MySQL/PostgreSQL, etc.)
• 4+ years of managerial experience – a must!  
• Experience with building SaaS platforms for cloud-based products, preferably AWS
• Experience with Containers and Kubernetes (K8s), preferably EKS
• Experience with Message Brokers such as RabbitMQ/SQS/Kafka, preferably Kafka
• Experience with Microservices development
• Broad knowledge of OOP and design patterns
• Team player attitude and mentality
• Experienced and passionate about managing and growing people
• Experience in engineering best practices (code reviews, testing coverage, Agile methodologies)
• Ambitious and eager to learn new things

What could set you apart

• Experience with Full-Stack development (frontend side experience with technologies like Angular and React)
• Experience with Redis or similar
• Experience with ORM such as Entity Framework
• Experience with Domain Driven Design (DDD)

#LI-CD1

Who we are

DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world.
We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle. 

We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.

What will you do

You will join a team of experienced engineers and help them in developing our innovative Classification products.

You will lead projects by architecting, designing and implementing solutions that will impact the core components of our system.

You’ll develop new and awesome features while leveraging cloud native technology stack, do continuous improvements of our development process by adapting new technologies, and using them to solve product and engineering challenges while raising the bar of code quality and standards.

Who you are

• 5+ years of experience coding in an industry-standard language such as Scala, Java, Rust, Closure, Kotlin, Go etc.
• Deep understanding of Computer Science fundamentals: object-oriented design, functional programming, data structures, multi-threading and distributed systems.
• Experience with in-memory distributed cache such as Aerospike or Redis and messaging systems such as Apache Kafka, etc.
• Experience working with Docker, Kubernetes and designing scalable microservices architecture.
• Experience in working with SQL (MySQL, PostgreSQL) and Columnar/NoSQL Databases such as (BigQuery, Vertica, Snowflake, Couchbase, Cassandra, etc.).
• Experience working in a BigData environment and building scalable distributed systems with stream processing technologies such as Akka Streams, Kafka Streams/Spark/Flink.
• Experience working with cloud providers such as GCP or AWS
• BSc in Computer Science or equivalent experience.
• Experience with Agile development, CI/CD pipelines (Git ,GitLab or Jenkins) and coding for automated testing.
• A versatile developer with a “getting-things-done” attitude.

Nice to have

• Previous experience with online advertising technologies is a big plus.
• Familiarity with the cloud-native computing foundation.

#Hybrid#

About Kape Technologies

Kape is a cybersecurity company focused on helping everyone have a better digital experience with greater privacy and protection. With over 1000 experienced individuals across ten global locations, including the UK, Israel, Germany, Romania, France, the Philippines, USA, Singapore, Hong Kong, and Cyprus, the Kape team is guided by a single mission: to create a more secure and safe world.

Job Summary

In this role, you will be a pivotal and influential factor in strategic decisions relating to millions of customers every day. Your mission is to bridge the gap between raw data and product development, acting as a strategic partner to Product and Engineering teams to ensure data-driven decisions are made at every stage. You will make a huge impact by supporting strategic business initiatives through data analysis, experimentation, and the development of key metrics and dashboards.

Core Responsibilities

• Product Performance and Feature Analysis: Conduct deep-dive analysis into user behavior data (User Journeys), conversion funnels, and the performance of new product features to identify optimization and growth opportunities.
• Experimentation (A/B Testing): Own the design, execution, and comprehensive evaluation of A/B and Multi-Variate tests to improve retention outcomes and key KPIs. Provide actionable recommendations for subsequent test iterations.
• Delivering Business Value: Translate data into insights, predictions, and actionable recommendations, clearly articulating the business value to cross-functional Product and Engineering teams.
• Metrics & Reporting: Develop and maintain key performance indicators (KPIs) and user-friendly dashboards using compelling visualizations to support downstream analytics and track product health.
• Data Partnership: Work closely with Data Engineers and Analytics Engineers to define requirements for foundational datasets that can support analytics and reporting needs.
• Optimization and Efficiency: Drive optimization and challenge existing processes to enhance efficiency in analytical workflows and support self-serve data needs within the organization.

Core Requirements

• Experience: 3+ years of experience in a Senior Data Analyst / Product Analyst / Business Intelligence Analyst role.
• SQL Proficiency: High proficiency in SQL and/or other querying languages.
• Analytical Acumen: Outstanding analytical skills and a strong business acumen with a business-first approach to problem-solving.
• A/B Testing: Knowledge and hands-on experience in designing, executing, and evaluating A/B experiments.
• Visualization Tools: Hands-on experience with data visualization tools such as Power BI.
• Communication & Storytelling: Excellent communication skills, utilizing storytelling to bring insights to life and make connections on the business level.
• Stakeholder Management: Strong stakeholder management skills with the ability to integrate with the business and lead complex projects.

Language: Fluent in English