We are looking for a Principal Backend Engineer to join our Analytics team based in Israel. This role reports to the Manager, Software Engineering. Avalor curates and contextualizes data from hundreds of security and business tools to help companies understand and address their riskiest problems. You will leverage our robust data platform and security modules to provide immediate benefits to customers while making the world a more secure place.

What you’ll do (Role Expectations)

• Design, develop, and maintain scalable backend services within a cutting-edge microservices architecture using Scala and Java/Spring Boot

• Optimize performance, cost, and reliability of services in production while ensuring efficient data management across stores like Snowflake, Trino, and Apache Iceberg

• Drive innovation in semantic layers, query optimizations, and analytics capabilities to refine and expand our technology stack

• Operate seamlessly across product, UX, and frontend teams to deliver high-scale features from inception to production

• Mentor junior engineers and elevate the team’s technical capabilities through high-accountability partnership

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of proven experience in backend development with a focus on building robust, tech-driven solutions

• Experience designing and developing microservices architecture using tools such as AWS, Kubernetes, RabbitMQ, SQS, and Tilt

• Technical proficiency in Java and Spring Boot

• Strong communication skills and a demonstrated ability to solve complex problems in a dynamic environment

• A self-driven approach to exploring new technologies and driving innovation

What Will Make You Stand Out (Preferred Qualifications)

• B.Sc. in Computer Science or a related field

• Experience in leading a team, a squad or a cross-team effort/tech area.

• Expertise in query optimization, data analytics, and building semantic layers

#LI-MP1

#LI-HYBRID

Your Role:

• Lead the design and development of complex, high-performance, backend services within the Tenable One ecosystem, ensuring modularity and long-term maintainability.

• Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.

• Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.

• Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.

• Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.

• Take a “production-first” approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.

What You’ll Need:

• BSc in Computer Science or a related degree from a recognized institution, or a strong track record in server-side development with advanced technical skills.

• 5+ years of experience in software engineering with a demonstrated ability to work on large-scale projects and solve complex technical problems.

• Proficiency in one or more modern programming languages such as Python, Kotlin, Java, Go, C#, or equivalent, with the ability to adapt to new tools and technologies.

• Strong expertise with distributed systems, cloud-native architecture (e.g., Kubernetes, microservices), and APIs.

• Hands-on experience with high-throughput date stores and messaging systems (e.g., Snowflake, PostgresSQL, Elasticsearch, Kafka or Redis).

• Experience with cloud platforms such as AWS, Azure, or GCP, with knowledge of best practices for deploying and maintaining cloud-based services.

• Strong problem-solving skills, with experience debugging and resolving production issues in complex systems.

• A proactive approach to task prioritization and a history of leading technical initiatives from conception to deployment with minimal supervision.

• Prior experience working in the cybersecurity industry or working with security-centric data pipelines and protocols is advantage.

• Bonus: Experience or familiarity with moden frontend frameworks and an understanding of how frontend applications consume and state-manage complex backend data.

At Wolt we partner closely with the world’s leading CPG companies and their respective media agencies. We are looking for a Enterprise Sales -  Retail Media specialist to work with our brand partners & provide massive value to our customer base through the brands they love. This is a high-impact, Individual Contributor role that will contribute to building profitable business models touching all of Wolt’s sales channels.  This role requires cross-functional collaboration across the business; you will need to be able to work with our local team and our global ads operations team. Success will come from the ability to leverage our (huge) database to execute commercial initiatives, conduct long-term joint business planning, and provide world-class service to the world’s largest consumer brands. 

What you’ll be doing

• Ad + Promo Sales:  CPG partners create significant value to our joint customer bases via Ads + Promos. Our product is developing new features every day which you will be in charge of commercializing 
• Joint Business Strategy and Planning: We create win-win-win models which bring significant benefits to our CPG partners, Wolt, and our end-customers. Our industry is moving fast and changing by the minute; you will have to be creative and figure out how we can all win together, both today and tomorrow.
• Plan Execution: Our team likes to get its hands dirty. You’ll work closely with local teams and our global ads operations teams to ensure that the details of operational plans are being executed, from ensuring a supply chain is providing the right amount of availability on our shelves to triple-checking marketing campaign flows.
• Market Insight & Data-Driven Analysis:  We have industry-leading first-party data on billions of transactions, stored on Snowflake databases accessed via Looker. Leverage market knowledge and data analytics to create actionable dashboards, KPIs, and insights for our business partners. 

Our humble expectations

• Relevant Experience: 4+ years of experience in enterprise sales roles. Proven ability to create incremental value for partners in a self-driven manner. Experience working in media agencies or within the digital advertising ecosystem is highly valued.
• Industry Knowledge: Strong understanding of digital platforms, advertising, e-commerce, or marketplace environments. Familiarity with CPG is a plus, but not required. Experience in the Ads industry is a major advantage.
• Presentation & Communication Skills: Proven ability to create compelling presentations and deliver them effectively to C-level executives, combined with excellent communication skills.
• Analytical Skills: Advanced ability to leverage data to uncover trends, generate insights, and inform strategic decision-making. Proficiency in analyzing complex datasets, developing actionable business recommendations, and presenting findings in clear, impactful formats is essential. Expertise in Excel and crafting data-driven presentations is required.
• Attitude: Ownership and Entrepreneurial Mindset – Take full ownership of your work and excel in a fast-paced, dynamic environment. We value individuals with an entrepreneurial spirit who are adaptable, resourceful, and proactive in driving growth and delivering results.
• Languages Proficiency: Fluent in Hebrew and English
• Other: Eligible to work in the country where the job is posted and willing to travel when necessary.

The Identity Security Posture Management (ISPM) Team

At ISPM (previously known as Spera), we are revolutionizing the field of identity security, providing comprehensive solutions to address the challenges faced by modern organizations. Our platform provides security leaders with end-to-end contextual visibility of their identity landscape, reducing risks, enhancing operational efficiency, and ensuring compliance. 

With an exceptional team dedicated to pushing boundaries and achieving remarkable results, we are seeking a talented engineer to join us in shaping the future of identity security.

This role requires working from the office four times a week.

What you’ll be doing

As a Staff Software Engineer at ISPM, you will play a critical role in building our platform. Your expertise and contributions will have a direct impact on the success and effectiveness of our product. Specifically, your responsibilities will include:

• Lead, design, architect and build high-quality scalable software by introducing best practices around software engineering architecture and processes
• Raise the bar on engineering excellence by improving standard methodologies, producing best-in-class code, documentation, testing, and monitoring
• Collaborate with product and R&D engineers to translate product requirements into technical solutions.
• Identifying and resolving technical issues and performance bottlenecks.
• Staying up to date with the latest industry trends and technologies to continuously improve our products.
• Be a mentor for colleagues and help promote knowledge-sharing

What you’ll bring to the role

• 8+ years of experience as a software engineer, preferably in a fast-paced environment.
• 5+ years of programming experience with Python, specifically focused on backend development.
• A proven track record of successfully building and delivering large-scale systems.
• Solid understanding of software engineering principles, design patterns, and best practices.
• Excellent problem-solving skills and a detail-oriented mindset.
• Strong communication and collaboration abilities to work effectively within a team.

Extra credit if you have experience in any of the following

• Experience with Snowflake or other data warehousing platforms.
• Experience with Amazon Web Services and modern cloud stack.

• About the Role

  Forter seeks a highly skilled, motivated Senior Full-Stack Engineer  to join the Customer Experience Offerings (CXO) team. This team delivers and scales Forter’s core offerings and agentic experiences, creating smart automation for customers to confidently understand, configure, and optimize their journey.

  Part of the Customer Experience group, this high-impact, hands-on role involves working across the full application stack—frontend (React, Next.js), backend (Node.js, TypeScript), data pipelines, and platform development. The ideal candidate has deep expertise in full-stack development, large-scale data stores, event-driven pipelines, data models, and high-throughput infrastructure. You will design and implement robust, end-to-end solutions for the customer portal and internal tools, and play a central role in shaping AI-driven capabilities as we invest heavily in Agentic AI.

  If you enjoy owning complex problems end to end, improving systems at scale, and building experiences that bring real value to customers, we would love to meet you.

  
  

  What You’ll Be Doing

  • Drive the end-to-end technical strategy and development for Forter's core offerings and the intelligent, agentic experiences that empower customers to configure and continuously optimize their journey.
  • Define and implement the authoritative technical standards for user configuration and data interaction/visualization, ensuring high performance and reusability across the platform.
  • Lead the development of next-generation Agentic AI capabilities. Define how LLMs integrate into our platform, build AI-powered workflows, and establish strong engineering patterns for safe and reliable adoption.
  • Own and evolve the data foundations behind the portal. Optimize pipelines, improve data quality and freshness, and design resilient data-access patterns to ensure customers can confidently understand and analyze the impact of their choices.
  • Own end-to-end delivery of high-impact initiatives, focusing on unifying the user journey by bridging the gap between configuration and results analysis. Contribute hands-on across the full stack when needed, maintain execution momentum, and drive projects from concept to production.
  • Work closely with product, design, customer-facing teams, and partner engineering groups. Turn ambiguous problems into clear execution plans and ensure alignment with customer and business goals.

  Who are you?

  • 5+ years of experience as a software engineer with deep expertise in full-stack development, including strong command of modern frontend frameworks (e.g., React, Next.js) and backend technologies (Node.js, TypeScript).
  • Experience building customer-facing products and working closely with product managers and customer-facing stakeholders.
  • Strong familiarity with cloud-native environments. AWS experience is a significant advantage.
  • Hands-on experience with distributed systems, data-intensive architectures, and event-driven pipelines. You are comfortable working with stores like Redis, Kafka, SQS, Elasticsearch, MySQL, and Snowflake, and you know how to design efficient data-access layers, optimize schema and query performance, and build reliable ingestion and transformation pipelines.
  • Demonstrated impact in senior engineering roles. You have led complex technical initiatives, influenced product decisions, and helped drive architecture across teams.
  • Deep systems thinking with the ability to design and scale robust, performant, and maintainable services.
  • Excellent communication and collaboration skills. You can discuss architecture with engineers, roadmap with product managers, and explain tradeoffs to non-technical stakeholders.
  • Experience using modern AI development tools such as Claude, GitHub CoPilot or similar to accelerate development and improve quality.
  • Proven ability to self-manage, work autonomously, and drive projects forward without heavy oversight.

  It’d be really cool if you also have:

  • Experience building products or workflows powered by LLMs or Agentic AI
  • Experience with micro-frontends or multi-app ecosystem architectures
  • Deep experience with designing or maintaining high-scale data pipelines, including streaming, batching, or real-time enrichment workflows
  • Experience leading workshops, sharing knowledge internally, or driving community practices

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 Nordstrom 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.

Role summary:

We are seeking a seasoned and execution driven VP, head of data platform to lead all the R&D tracks of the Data and Analytics organization in Payoneer. This role focuses on leading a complex data engineering organization at scale, driving delivery, operational excellence and cross-company enablement through world-class data platforms and tools.

This leader will serve as the engineering owner of our data platform, managing multiple data infra, data engineering and BI development teams, overseeing extensive resources, and ensuring the delivery of high-quality, scalable, and reliable data products and services. This position requires a strong technical background combined with exceptional leadership, strategic thinking, and cross-functional collaboration skills.

He will also act as a key stakeholder in defining the architecture and strategic direction of our data infrastructure, pipelines, AI/ML infra and platforms to support the company's rapid growth and evolving business needs.

Hybrid 

Full-time



What you’ll do: 

• Lead and manage the entire data platform, including:
• Real-Time Data & Streaming Infrastructure: Introduce and engineer robust data streaming infrastructures (e.g., using Kafka, Pub/Sub, Dataflow) to enable near-real-time data ingestion and scalable low-latency data serving, unlocking advanced analytics and critical use cases.
• Data engineering teams responsible for the data ingestion, transformation and delivery pipelines
• BI infra and development teams owning the cross-company consumption layer, including BI tools, BI data layers and dashboards
• Serve as the operational and delivery lead across the data platform, ensuring strong project execution, roadmap alignment and measurable business impact
• Data Engineering & Architecture Oversight: Lead the design, development, and evolution of scalable data platforms, encompassing data lakes, data warehouses, and advanced data products, ensuring they meet performance, reliability, and business requirements.
• Operational Excellence & Reliability: Establish and drive engineering operational excellence processes across data engineering, significantly improving data quality, availability, and system reliability. Implement frameworks for proactive monitoring, alerting, and incident management, reducing major incidents and ensuring continuous visibility into data flows.
• Advanced Data Observability: Integrate and leverage cutting-edge data observability solutions (e.g., Monte Carlo) to provide comprehensive visibility into data pipelines, enabling proactive detection and resolution of anomalies.
• Cross-functional Collaboration & Stakeholder Management: Collaborate extensively with product, analytics, business, and infrastructure teams to align data strategies with overarching business priorities, ensuring the delivery of high-quality data products that meet diverse user needs.
• Innovation & Technology Adoption: Stay abreast of the latest data, cloud, and AI trends, driving the evaluation and adoption of modern cloud-native technologies to continuously improve platform capabilities and future-proof the ecosystem.
• Leadership & Team Growth: Lead, mentor, and grow a large team of data engineers, fostering a culture of technical excellence, continuous learning, and agile methodologies. Oversee budget management and drive talent development within the team.
• Data Governance & Quality: Oversee the implementation of standards for data quality, data integrity tools, governance, privacy, and regulatory compliance across the data ecosystem.

Who you are? 

• Extensive Experience: 15+ years of progressive experience in the software industry, with a significant portion in data engineering, data platform design, and leadership roles.
• 5+ in senior R&D or VP-level roles, managing large cross-functional teams. Proven experience in leading and managing large engineering teams (e.g., 30-40+ engineers) and overseeing large budgets. 
• Deep Technical Expertise- 
• Profound knowledge of modern cloud data platforms such as GCP, BigQuery, Snowflake, Databricks, Redshift, and Bigtable.
• Hands-on experience with ETL/ELT tools and frameworks (e.g., DBT, Dataform, Spark).
• Strong familiarity with real-time data processing and streaming platforms (e.g., Kafka, Pub/Sub, Flink, Dataflow, Kafka Streams, Storm).
• Experience with data warehousing, data lakes, Hadoop ecosystems (e.g., Cloudera)
• Experience in BI domains tools (e.g., Looker, Tableau, Power BI)
• Familiarity with legacy ecosystem (MySQL, SSRS)
• Experience with containerization and orchestration technologies like Kubernetes and infrastructure-as-code tools like Terraform.
• Operational Excellence: Demonstrated ability to establish and improve operational excellence processes, including proactive monitoring, alerting, incident management, and data observability solutions.
• Strategic & Business Acumen: Strong business acumen and the ability to align technical decisions with strategic business goals.
• Communication & Collaboration: Excellent communication, stakeholder management, and cross-functional collaboration skills to effectively align diverse teams and stakeholders.
• Problem-Solving: Exceptional problem-solving abilities and a creative approach to technical challenges.
• Education: Bachelor of Science degree, preferably in Computer Science or a related technical field.

#LI-Hybrid
#LI-CA1

So, what’s the role all about?

The R&D Business Operations team is responsible for collecting, analyzing, and managing R&D data, change requests, and various cross-unit projects and initiatives. As a BI Data Engineer, you will be the backbone of our data infrastructure owing end-to-end data pipelines that power the analytics and dashboards used across the R&D group, connecting a wide range of data sources into a coherent, scalable platform. You will accompany the full data journey, from ingestion and transformation through to the creation of datasets and, where needed, venture into the reporting and dashboard layer to deliver complete, business-ready data products.

We are looking for a seasoned, self-driven professional with a strong sense of ownership who can take a task from start to finish independently. We also value genuine intellectual curiosity — someone who keeps up with what's happening in the data and AI space, is willing to experiment, and helps the team identify where new technologies can create real value

How will you make an impact?  

•    Design, build, and maintain scalable data pipelines feeding dashboards and analytical products across the R&D organization
•    Own and manage the cloud data warehouse — schema design, performance tuning, and access control
•    Manage data ingestion workflows connecting diverse data sources to the central data platform
•    Develop and maintain transformation models ensuring clean, well-documented, and tested data layers
•    Accompany the full data lifecycle from raw ingestion to business-ready datasets, and build the corresponding reports and dashboards where needed
•    Implement data quality checks, monitoring, and alerting to proactively identify and resolve issues
•    Translate business requirements into data solutions, working across R&D, Product, IT, and Business Operations
•    Explore emerging AI capabilities as they relate to data engineering and help identify practical opportunities for the team

Have you got what it takes?

•    At least 5 years of hands-on, production data engineering experience
•    Proven expertise with a cloud data warehouse (Snowflake)
•    Hands-on experience with a data ingestion tool (e.g., Fivetran or equivalent)
•    Hands-on experience with a data transformation framework (e.g., dbt or equivalent)
•    Strong SQL skills: advanced querying, optimization, and data modeling
•    Strong hands-on experience working with external APIs, including authentication, rate limits, pagination, and error handling
•    Ability to design, build, and maintain custom API-based data ingestion pipelines in Python
•    Hands-on experience with Python for data engineering tasks
•    Practical experience operating workflow orchestration tools such as Airflow
•    Ownership and administration of cloud data environments such as AWS or Azure, including account-level responsibility for data workloads
•    A strong sense of accountability — comfortable being the go-to person for your data domains and available to respond when issues arise outside of regular hours
•    Genuine curiosity about developments in the AI and data space — someone who actively follows trends, is eager to experiment, and brings new ideas to the table

You will have an advantage if you also have:

•    Familiarity with BI and reporting tools
•    Experience with R&D tooling ecosystems
•    Exposure to data governance or data observability practices
•    Fluent English — written and spoken

What’s in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

#LI-Hybrid

Requisition ID: 10660

Reporting into: Director, R&D Operations, CX

Role Type: Individual Contributor

So, what’s the role all about?

The R&D Business Operations team is responsible for collecting, analyzing, and managing R&D data, change requests, and various cross-unit projects and initiatives. As a BI Data Engineer, you will be the backbone of our data infrastructure owing end-to-end data pipelines that power the analytics and dashboards used across the R&D group, connecting a wide range of data sources into a coherent, scalable platform. You will accompany the full data journey, from ingestion and transformation through to the creation of datasets and, where needed, venture into the reporting and dashboard layer to deliver complete, business-ready data products.

We are looking for a seasoned, self-driven professional with a strong sense of ownership who can take a task from start to finish independently. We also value genuine intellectual curiosity — someone who keeps up with what's happening in the data and AI space, is willing to experiment, and helps the team identify where new technologies can create real value

How will you make an impact?  

•    Design, build, and maintain scalable data pipelines feeding dashboards and analytical products across the R&D organization
•    Own and manage the cloud data warehouse — schema design, performance tuning, and access control
•    Manage data ingestion workflows connecting diverse data sources to the central data platform
•    Develop and maintain transformation models ensuring clean, well-documented, and tested data layers
•    Accompany the full data lifecycle from raw ingestion to business-ready datasets, and build the corresponding reports and dashboards where needed
•    Implement data quality checks, monitoring, and alerting to proactively identify and resolve issues
•    Translate business requirements into data solutions, working across R&D, Product, IT, and Business Operations
•    Explore emerging AI capabilities as they relate to data engineering and help identify practical opportunities for the team

Have you got what it takes?

•    At least 5 years of hands-on, production data engineering experience
•    Proven expertise with a cloud data warehouse (Snowflake)
•    Hands-on experience with a data ingestion tool (e.g., Fivetran or equivalent)
•    Hands-on experience with a data transformation framework (e.g., dbt or equivalent)
•    Strong SQL skills: advanced querying, optimization, and data modeling
•    Strong hands-on experience working with external APIs, including authentication, rate limits, pagination, and error handling
•    Ability to design, build, and maintain custom API-based data ingestion pipelines in Python
•    Hands-on experience with Python for data engineering tasks
•    Practical experience operating workflow orchestration tools such as Airflow
•    Ownership and administration of cloud data environments such as AWS or Azure, including account-level responsibility for data workloads
•    A strong sense of accountability — comfortable being the go-to person for your data domains and available to respond when issues arise outside of regular hours
•    Genuine curiosity about developments in the AI and data space — someone who actively follows trends, is eager to experiment, and brings new ideas to the table

You will have an advantage if you also have:

•    Familiarity with BI and reporting tools
•    Experience with R&D tooling ecosystems
•    Exposure to data governance or data observability practices
•    Fluent English — written and spoken

What’s in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

#LI-Hybrid

Requisition ID: 10660

Reporting into: Director, R&D Operations, CX

Role Type: Individual Contributor

Job Summary

We're looking for a Data Analyst to join one of our R&D. You'll design and deliver data-driven solutions that combine data analysis, statistical methods, improved heuristics, and ML models training to power Beamup's autonomous supply chain intelligence platform. You'll work closely with data science, engineering, product, and supply chain experts — owning solutions from problem definition to iterative improvement.

Responsibilities

• Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of supply chain performance
• Improve and maintain heuristic rules and analytical models for supply chain use cases (e.g., inventory risk, demand patterns, root-cause analysis)
• Train and iterate on ML models to enhance existing analytical solutions
• Define success metrics and evaluation plans with support from senior DS/PM; run error analysis
• Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
• Implement and refine hybrid decision logic by combining analytical outputs with statistical methods and SQL/rules-based logic for robustness and explainability
• Collaborate with software engineers to support deployment of analytical solutions, including testing and logging
• Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
• Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking

Requirements

• BSc in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field (or equivalent practical experience)
• 2+ years of experience as a Data Analyst in a product or business environment (or equivalent practical experience)
• Familiarity with Python and data analysis workflows
• Solid SQL skills (joins, aggregations, window functions) and comfort working with production data in a warehouse/lake environment
• Experience performing rigorous evaluation (baselines, cross-validation where relevant, error analysis)
• Ability to translate business questions into measurable metrics and a clear analytical plan (with guidance when needed)
• Experience working with messy real-world data: data validation, debugging pipelines, and collaborating on labeling/ground truth
• Strong communication and collaboration skills with engineering, product, and domain experts; comfortable receiving feedback and iterating fast

Nice to Have (Advantages)

• Experience building predictive ML models (e.g., classification, regression, anomaly detection)
• Familiarity with common DS libraries: pandas, NumPy, scikit-learn
• Experience with big data tools (e.g., Spark, BigQuery, Snowflake, Databricks)
• Experience with development AI agents (Cursor, Caude-Code, etc.)

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 

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#

Why Triple Whale Needs You:

We're looking for a Data Engineer with 4+ year experience to join our Data Engineering team and help us build and scale our production-grade data platform. You'll work on high-performance systems built on self-hosted ClickHouse, optimize complex data pipelines, and collaborate closely with Product, Analytics, and Infrastructure teams to deliver reliable, fast, and scalable data solutions.

This is a hands-on technical role where you'll have a significant impact on how we ingest, model, store, and serve data that powers our analytics and AI-driven products.
You’ll play a key role in shaping the direction of our data platform and have meaningful ownership over critical components of our architecture.

What You'll Do:

Data Modeling & Architecture

• Design and evolve data models that reflect business logic and support analytical use cases
• Collaborate with the BI and Analytics teams to understand data requirements and translate them into efficient schemas

Performance Optimization

• Optimize ClickHouse schemas, partitioning strategies, indexing, and compression
• Profile and tune slow queries to improve performance and reduce costs
• Implement systems that ensure data quality, consistency, and operational efficiency (e.g., deduplication, validation, anomaly detection)
• Monitor pipeline health, data freshness, and query performance with appropriate alerting mechanisms

SQL Compiler Development

Develop and maintain the SQL Compiler layer that translates high-level queries into optimized ClickHouse execution plansImplement query optimization and rewriting strategies to improve performanceDebug and resolve compiler issues to ensure accurate and efficient query translation

Data Pipeline Development & Collaboration

• Review and advise the Integration team on pipeline architecture, performance, and best practices.
• Provide guidance on data modeling, schema design, and optimization for new data sources.
• Troubleshoot and maintain existing pipelines when issues arise or optimization is needed
• Ensure data freshness, reliability, and quality across all ingestion pipelines.

Collaboration & Support

• Work closely with the Integration team to ensure smooth data ingestion from new sources.
• Partner with Infrastructure to support high availability and disaster recovery
• Support other teams across the company in accessing and using data effectively.

What You'll Bring:

Required

• Excellent communication and collaboration skills
• English at a high level, written and spoken required
• Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required
• Strong attention to detail, ownership mentality, and ability to work independently
• Quick learner who can dive into new codebases, technologies, and systems independently
• Hands-on mentality - not afraid to roll up your sleeves, dig into unfamiliar code, and work across the stack (including backend when needed)
• 4+ years of experience as a Data Engineer
• Strong problem-solving skills for complex data challenges at scale - ability to debug performance issues, data inconsistencies, and system bottlenecks in high-volume environments
• Experience with data modeling and schema design for analytical workloads
• Strong proficiency in SQL and experience with complex analytical queries
• Hands-on experience building and maintaining data pipelines (ETL/ELT)
• Ability to troubleshoot and optimize systems handling large data volumes (millions+ rows, complex queries, high throughput)
• Knowledge of query optimization techniques and execution planning
• Familiarity with columnar databases (ClickHouse, BigQuery, Redshift, Snowflake, or similar). Columnar DB experience is a big plus.

Nice to Have

• Experience with ClickHouse specifically
• Experience with real-time or streaming data pipelines
• Familiarity with SQL compilers or query engines
• Background in data quality frameworks and observability tools
• Experience with infrastructure as code (Terraform, Ansible, Pulumi ,etc.)
• Contributions to open-source data projects
• Experience with data orchestration tools (Airflow, Dagster, Prefect, etc.)
• Experience with any scripting language for data processing
• Understanding of distributed systems and data architecture concepts at scale

Plus

• Experience working in e-commerce, analytics, or BI platforms

• The opportunity to shape and own core systems that power the entire organization.
• A high-impact role with autonomy and influence across multiple teams.
• A collaborative, fast-paced, and innovative environment.
• Competitive compensation and hybrid flexibility based in Jerusalem, with at least 2 days per week in-office required. Our office is conveniently located in Jerusalem's Central Bus Station (across the street from the train station)

Join Us In Making Waves:

If you’re looking for more than just a job and want to be part of a movement reshaping the future of Ecommerce, Triple Whale is the place for you. We’re on the lookout for driven, curious, and creative individuals ready to thrive in a fast-paced environment.

Triple Whale is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

The role, in a nutshell:

We’re looking for highly motivated sales executives who have strong market knowledge and enjoy building relationships with key decision makers to evangelize building secure and reliable software. Our sales team walks a mile in their customers shoes and wants our customers and prospects to see the immense value and expertise Chainguard's solutions offer.

Skills/Job Requirements:

• Define and execute sales plans for your assigned territory
• Convey value prop and product differentiators to prospects and customers
• Forecast, meet, and exceed quota
• Through a combination of inbound and outbound leads, develop and manage leads funnel
• Manage business and track opportunities through CRM and other supporting tools
• Collaborate on and improve all aspects of the sales cycle, including product, support, and sales engineering
• Understand the competitive market, being familiar with competing companies and their offerings

Candidate Background:

• 6+ years of selling SaaS/Security experience required
• Domain experience with one or more of the following strongly recommended: Compute platforms (Kubernetes, Docker, AWS, Azure, Google Cloud), DevOps Tooling, CICD platforms (Github, Gitlab, jenkins), and overall SDLC.
• Strong track record consistently overachieving sales targets within France as a region
• Ability to learn new products and create/learn processes quickly
• Competitive/Driven
• Excellent communication skills verbal and written
• Team player
• Must be willing to travel to clients to support sales relationships (if required)
• Entrepreneurial – Willing to go the extra mile, strong work ethic, resourceful.

Desired Qualifications:

• Hebrew speaker
• Based in Israel
• SaaS or Developer tools sales experience
• Startup experience
• A strong sales aptitude and fundamental understanding of the sales process
• A sound, tech-savvy business acumen and the ability to articulate a compelling value proposition in a complex and evolving business environment
• Ability to thrive in an agile environment with an ever-evolving set of solution

• Deploy and maintain critical data pipelines in production.
• Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
• Design infrastructural data services, and to build scalable data solutions.
• Work in Agile process with Product Managers and other tech teams.
• End-to-end responsibility for the development of data crunching and manipulation processes within the Optimove product.
• Design and implement data pipelines and data marts.
• Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the Optimove product.
• Explore and implement new data technologies to support Optimove’s data infrastructure.

• B.Sc. in Computer Science or equivalent.
• 3+ years of extensive SQL experience (preferably working in a production environment)
• Experience with programming languages (preferably, Python) – a must!
• Experience with "Big Data" environments, tools, and data modeling (preferably in a production environment).
• Strong capability in schema design and data modeling.
• Understanding of micro-services architecture.
• Familiarity with Airflow, ETL tools, Snowflake, and MSSQL.
• Quick, self-learning and good problem-solving capabilities.
• Good communication skills and collaborative.
• Process and detailed oriented.
• Passion to solve complex data problems.

• Experience with GCP services.
• Experience with Docker and Kubernetes.
• Experience with PubSub/Kafka.

Join Navan's growing Travel Product Strategy & Analysis team as an Analytics engineer focused on driving strategic product decisions through data-driven insights. You'll be at the center of product investment strategy, working directly with Product Managers, Engineering, Design, Leadership and Data Teams to harness data insights and empower teams to optimize our marketplace and user journey on Navan Travel.

As a key member of our small, high-impact team, you'll own business understanding for our travel platforms and serve as the analytical backbone. You will focus on execution by delivering insights, building dashboards, track metrics, develop models and analyze results. This role combines deep data fundamentals and thorough analytical rigor with strategic product thinking to influence investment decisions.

What You’ll Do:

• Work cross-functionally with Product, Engineering, Leadership and Design teams to deeply understand business needs and translate them into data requirements, well-defined metrics, and analytical tools to enable KPI tracking
• Design, build, and maintain scalable, reliable data models and infrastructure to support analytics, operations, and product use cases
• Champion data quality, documentation, and execution  to ensure observability and trust across the organization
• Own all data aspects of the flights team line of business
• Spearhead AB testing development and implementation to increase deployment trust.
• Support ongoing and adhoc analyses to ensure business goals are met and to uncover areas of opportunity

What We’re Looking For:

• +6 years in analytics engineering, data engineering, or data analytics, preferably in travel or consumer tech companies
• Technical orientation and proven hands on experience
• Highly proficient in SQL and data modeling for complex analysis across large datasets
• Experience synthesizing complex data into actionable insights by utilizing a full modern data stack (dbt, Snowflake preferred) and data visualization platforms (Thoughspot preferred)
• Ability to balance multiple priorities in a fast-paced, high-growth environment, while working cross-functionally with Product, Finance, Engineering, and GTM teams
• Experience working with data modeling tools such as dbt
• Demonstrated success translating complex business requirements into scalable data solutions
• Knowledge in SaaS terminology and KPIs.
• Strong background in data warehousing concepts, dimensional modeling, and analytics methodologies

Data Engineer

We're hiring a Data Engineer to join our growing team of analytics experts in order to help & lead the build-out of our data integration and pipeline processes, tools and platform.

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

The right candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

In this role, you will be responsible for:

• Create ELT/Streaming processes and SQL queries to bring data to/from the data warehouse and other data sources.
• Establish scalable, efficient, automated processes for large-scale data analyses.
• Support the development of performance dashboards & data sets that will generate the right insight.
• Work with business owners and partners to build data sets that answer their specific business questions.
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
• Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
• Own the data lake pipelines, maintenance, improvements and schema.

About you:

• BS or MS degree in Computer Science or a related technical field.
• 3-4 years of Python / Java development experience.
• 3-4 years of experience as a Data Engineer or in a similar role (BI developer).
• 3-4 years of direct experience with SQL (No-SQL is a plus), data modeling, data warehousing, and building ELT/ETL pipelines - MUST
• Experience working with cloud environments (AWS preferred) and big data technologies (EMR,EC2, S3 ) - DBT is an advantage.
• Experience working with Airflow - big advantage
• Experience working with Kubernetes - advantage
• Experience working with at least in one of the big data environments: Snowflake, Vertica, Hadoop (Impala/Hive), Redshift etc - MUST
• Experience working with Spark - advantage
• Exceptional troubleshooting and problem-solving abilities.
• Excellent verbal/written communication & data presentation skills.

Why join Tipalti?

Tipalti is the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Tipalti partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.

At Tipalti, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. Tipaltians are passionate about the work they do, and keen to get the job done. Tipalti offers competitive benefits, a flexible workplace, career coaching, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together. 

Founded in Israel in 2010, Tipalti is a global business headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi and Medellin.

Our tech teams are the engine behind our business. Tipalti’s tech ecosystem is extremely rich and we continually add new features to our products, ensuring that we respond to our clients’ needs at scale. Our tech teams retain a fast-paced, start-up vibe that encourages innovation and critical thinking. At Tipalti, you’ll have the opportunity to work with a diverse, global team of engineers, developers and product leaders who are collectively building the future of our best-in-class product suite as we transform financial operations for the future.

About Our Tel Aviv Offices:

Hybrid Work Model - Tipalti offers a hybrid work model, with two days per week working from home and three days per week from our beautiful offices in North Tel Aviv.

Shuttle Services - Shuttle services are available from the nearest train station and across Tel Aviv to the office.

Parking - Parking is available for all employees.

Snacks & Treats - Enjoy a selection of snacks and treats available on every floor.

#IL-hybrid

Staff Data Platform Engineer

We are looking for a Staff Data Platform Engineer to join our Engineering team and lead the evolution of our next-generation data platform. In this high-impact role, you will operate as a player-coach: you will be the technical visionary responsible for designing the ecosystem, while remaining deeply hands-on to implement scalable, secure, and intelligent solutions that power everything from operational reporting to advanced GenAI applications.

You will bridge the gap between complex business requirements and technical execution, advocating for a data-first culture. This role offers a clear growth path: while it currently starts as an individual contributor position, it has the potential to evolve into a leadership role.

Why join Tipalti?

Tipalti is the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Tipalti partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.

At Tipalti, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. Tipaltians are passionate about the work they do, and keen to get the job done. Tipalti offers competitive benefits, a flexible workplace, career coaching, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together. 

Founded in Israel in 2010, Tipalti is a global business headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi and Medellin.

About the Role

• Architecture & Hands-on Execution: Design and actively build a comprehensive data platform. You will not just oversee infrastructure; you will write the core code and build tools that support diverse workloads—from operational reporting to complex analytical queries.
• Strategic & Technical Delivery: Partner with product managers to translate business objectives into technical strategies, then lead the engineering effort to deliver them.
• Technology Evaluation: Continuously evaluate, prototype, and select best-in-class technologies to future-proof our data stack.
• Technical Leadership & Mentorship: Act as a primary advocate for platform adoption. You will foster a community of practice around data engineering, mentoring senior and mid-level engineers to elevate the team's technical bar.
• Governance & Quality: Implement and automate robust frameworks for Data Discovery, Quality, and Governance, ensuring solutions are trustworthy and compliant with financial regulations.

About you

We are looking for a highly motivated Staff Data Platform Engineer with a strong sense of ownership, eager to tackle technical challenges in a high-throughput data processing environment.

• Experience: 8+ years of hands-on experience in Data Engineering and Architecture, with a track record of building and shipping platforms at scale.
• Experience with modern big data platforms such as Snowflake, Databricks, or similar technologies.
• Hands-on experience with Data infrastructure experience (Orchestration, scalability, reliability, and cloud architecture).
• Data Movement & Integration: Deep understanding of data movement strategies, including high-frequency batching, CDC, and real-time event streaming.
• Technical Depth: Deep understanding of database internals. High proficiency in Python and SQL. You can dive into code when necessary to solve complex issues.
• Modeling & Architecture: Strong know-how in dimensional modeling and schema design (relational and NoSQL), with proven experience implementing Data Warehouse or Lakehouse architectures.
• GenAI & RAG Expertise: You have practical experience architecting and building RAG (Retrieval-Augmented Generation) pipelines, with specific knowledge of Vector Databases, Embedding Models, and LLM Orchestration frameworks.
• Business Acumen: A strong ability to understand business objectives and translate them into technical strategies that drive tangible value.
• Leadership and Communication: As this is a central role in the product tech organisation, you will need a strong ability to influence engineering teams and drive consensus without direct authority. You must have excellent communication skills to explain complex architectural concepts to C-level stakeholders and non-technical partners.

Our tech teams are the engine behind our business. Tipalti’s tech ecosystem is extremely rich and we continually add new features to our products, ensuring that we respond to our clients’ needs at scale. Our tech teams retain a fast-paced, start-up vibe that encourages innovation and critical thinking. At Tipalti, you’ll have the opportunity to work with a diverse, global team of engineers, developers and product leaders who are collectively building the future of our best-in-class product suite as we transform financial operations for the future.

About Our Tel Aviv Offices

Hybrid Work Model - Tipalti offers a hybrid work model, with two days per week working from home and three days per week from our beautiful offices in North Tel Aviv.

Shuttle Services - Shuttle services are available from the nearest train station and across Tel Aviv to the office.

Parking - Parking is available for all employees.

Snacks & Treats - Enjoy a selection of snacks and treats available on every floor.

#IL-hybrid

About The Support Team

Mixpanel Support is a team of talented problem-solvers from diverse backgrounds. We care deeply about helping our customers be successful and enabling them to get value from their data. We are located all over the world in San Francisco, Barcelona, London, and Singapore...

About The Role

The right candidate is an avid learner, an advocate for customers, and a collaborative teammate. The main responsibility of a Support Engineer is to help users solve technical challenges and use Mixpanel to make impactful product decisions. We’ve had team members focus on developing their technical skills to join the product and engineering teams, hone their customer-facing skills to become customer success managers or sales engineers, and take on leadership roles in the Support organization.

Responsibilities

The core responsibility of a Support Engineer is to support our customers at every turn in the Mixpanel journey by providing answers to product questions, sharing best practices, and debugging technical issues. You'll also develop your technical skills, collaborate with our Product team to improve our product, learn product analytics,s and mentor new team members.

• Become a Mixpanel product expert - you will help users understand our reports and features, help them use our APIs and SDKs, share best practices, and resolve account issues
• Respond to customer inquiries via Zendesk email, chat, Slack, and phone calls
• Investigate and document bugs and feature requests to share with our Product and Engineering teams
• Provide feedback regarding internal support processes, product functionality, and customer education resources to improve the customer experience
• Shape the product by regularly working closely with PM’s, engineers, and designers to incorporate customer learnings into change

We're Looking For Someone Who Has

• Experience providing customer facing SAAS support (in customer support, professional services, technical account management or similar)
• Ability to communicate technical concepts effectively in a clear, friendly writing style
• Excellent problem-solving and analytical skills
• Programming experience, understanding of web & mobile technologies,s and interacting with APIs
• Experience with debugging and collaborating with engineering to resolve complex technical issues, especially with JavaScript, Python, or mobile technologies
• Ability to be resourceful and resilient when faced with ambiguity and new challenges
• Dedication to developing expertise in a complex and constantly evolving product
• Interest and aptitude to develop technical skills and learn new technologies
• Experience providing SLA based support and/or dedicated support to strategic customers
• Speak Hebrew and fluent English

Bonus Points

• Experience with Mixpanel or other analytics tools
• Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.
• Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.

About Us

Konnecto, recently acquired by Partnerize, is building the next generation of intelligence for the evolving digital advertising ecosystem.

Our platform uses data, AI, and large-scale behavioral signals to help global brands understand how consumers discover, research, and evaluate products across the web — even in an increasingly AI-driven, clickless discovery environment.

As part of the Partnerize global platform, Konnecto is helping shape new ways for brands and publishers to understand influence, attribution, and performance across the open web. Our technology processes massive volumes of marketing and behavioral data and transforms it into actionable insights for some of the world’s leading brands and commerce platforms.

We are currently expanding our R&D center in Tel Aviv, where we are building advanced data systems, automation infrastructure, and intelligent workflows that power our products and enable the next wave of innovation in advertising technology.

This role focuses on building reliable data systems and automation infrastructure, while helping us introduce AI-driven and agentic automation capabilities that improve how our engineering and data platforms operate.

What You Will Do

• Design and build backend services using Node.js and TypeScript
• Develop and maintain data pipelines and automated workflows
• Work with Snowflake, MongoDB, and large datasets
• Improve reliability and performance of data processing systems
• Build and maintain automation infrastructure that supports data and platform operations
• Design systems that help automate engineering and data workflows
• Write unit and integration tests for backend services and workflows
• Collaborate with analysts and product teams to translate complex workflows into scalable systems
• Participate in improving engineering standards, testing culture, and development practices
• Drive the next generation of automation across the platform by designing AI-driven and agentic workflows that enhance how our engineering and data systems operate

Your Day-to-Day Work

• Developing backend services and APIs
• Optimizing queries and data processing workflows
• Building reliable systems for processing large-scale data
• Designing and implementing automation processes across data and engineering workflows
• Supporting AI-driven and agentic automation initiatives across internal systems
• Writing automated tests to ensure system stability
• Collaborating with engineers in Israel and global teams

Who We Are Looking For

• 4–7 years of backend development experience
• Strong experience with Node.js and TypeScript
• Experience working with SQL and large datasets
• Experience with MongoDB or other NoSQL databases
• Familiarity with data pipelines or distributed systems
• Experience with AI-enabled automation or agentic workflow systems
• Experience writing automated tests for backend services
• Interest in building automation-first systems and intelligent workflows
• Curiosity about applying AI and agentic automation to engineering and operational processes
• Comfortable working in a fast-paced engineering environment
• Strong communication skills in English

Nice to Have

• Experience with Snowflake or data warehouses
• Experience with workflow orchestration systems
• Experience integrating external APIs
• Experience building automation frameworks or developer tooling

Why Join Us

• Work on meaningful problems - build systems that power advertising intelligence for some of the world’s leading brands.
• Automation & AI-first mindset - help design automation infrastructure and explore AI-driven, agentic workflows that improve engineering and data operations.
• Startup impact, global scale - Konnecto combines the agility of a growing R&D team with the reach and stability of Partnerize, a global leader in partnership automation.
• Shape a growing R&D center - join our new site and influence how our systems, infrastructure, and engineering culture evolve.
• Great working environment - hybrid work model, strong benefits, and a collaborative engineering culture.

About the role:

Forter is looking for a highly skilled and motivated Senior II Software Engineer to join the Operational Experience engineering team. The team is part of the Customer Experience group, which is responsible for the platform, tools, and customer-facing experiences that power how Forter’s customers interact with our ecosystem. This is a high-impact, hands-on role, in which you’ll be working closely with product managers, designers, customer-facing teams, and engineering partners across the company.

You will operate at the intersection of backend engineering, data-intensive systems, platform development, and customer experience. The ideal candidate brings strong expertise in Node.js and TypeScript, along with deep experience working with large-scale data stores, event-driven pipelines, data models, and high-throughput infrastructure. You will work closely with cross-functional partners to design and implement robust backend services, data-access patterns, and operational workflows that power the portal and internal tools. As we invest heavily in Agentic AI, you will also play a central role in shaping and implementing AI-driven capabilities across the platform. While the role is primarily backend, you will occasionally contribute across the full stack when it supports end-to-end delivery.

If you enjoy owning complex problems end to end, improving systems at scale, and building experiences that bring real value to customers, we would love to meet you.

What you'll be doing:

• Drive technical direction and architecture within the OX team and across the broader CX organization. You will proactively identify opportunities to improve performance, resilience, cost, scalability, and developer experience, primarily in backend systems but with influence across the stack.
• Lead the development of AI-driven and Agentic AI capabilities. Define how LLMs integrate into our platform, build AI-powered workflows, and establish strong engineering patterns for safe and reliable adoption.
• Own and evolve the data foundations behind the portal. Optimize pipelines, improve data quality and freshness, and design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, MySQL, and related systems.
• Work closely with product, design, customer-facing teams, and partner engineering groups. Turn ambiguous problems into clear execution plans and ensure alignment with customer and business goals.
• Shape shared standards and platform best practices. Guide other teams on backend services, data integration patterns, portal development approaches, and AI-enabled workflows.
• Mentor and elevate engineers across the CX group. Promote engineering excellence, share knowledge openly, and help teams adopt effective modern development practices.
• Own delivery of high-impact initiatives. Contribute hands-on when needed, remove blockers, maintain execution momentum, and drive projects from concept to production.

What you'll need:

• 6+ years of experience as a software engineer with strong expertise in backend development using Node.js and TypeScript, with the ability to work across the stack when needed.
• Experience building customer-facing products and working closely with product managers, designers, and customer-facing stakeholders.
• Strong familiarity with cloud-native environments. AWS experience is a significant advantage.
• Hands-on experience with distributed systems, event-driven architectures, and datastores such as Redis, Kafka, SQS, Elasticsearch, MySQL, and Snowflake.
• Demonstrated impact in senior engineering roles. You have led complex technical initiatives, influenced product decisions, and helped drive architecture across teams.
• Deep systems thinking with the ability to design and scale robust, performant, and maintainable services.
• Excellent communication and collaboration skills. You can discuss architecture with engineers, roadmap with product managers, and explain tradeoffs to non-technical stakeholders.
• Experience using modern AI development tools such as Cursor, GitHub CoPilot, Lovable, Base44, or similar to accelerate development and improve quality.
• Proven ability to self-manage, work autonomously, and drive projects forward without heavy oversight.

It’d be really cool if you also have:

• Experience building products or workflows powered by LLMs or Agentic AI
• Experience with React, Next.js, and modern frontend patterns
• Experience with micro-frontends or multi-app ecosystem architectures
• Experience building high-scale data pipelines
• Knowledge of Python for tooling, data, or AI workflows
• Experience leading workshops, sharing knowledge internally, or driving community practices

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 Nordstrom 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.

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

We are seeking a highly skilled and hands-on Senior Data Engineer to architect and maintain modern data infrastructure and pipelines.

This is a technical role focused on building a scalable data platform that powers analytics, insights, and agentic workflows to enable data-driven decision making across the company. You will work closely with analysts, product, and engineering teams to design end-to-end data solutions using tools like AWS Redshift, Athena, Snowflake, and other leading cloud platforms.

Core Responsibilities

• Design and build scalable data pipelines to ingest, process, and store large volumes of structured and unstructured data from diverse sources. 
• Develop and maintain robust data warehouse architectures leveraging tools such as AWS Redshift, Athena, and Snowflake. 
• Optimize data models, queries, and storage strategies for performance, scalability, and cost-effectiveness. 
• Collaborate with cross-functional stakeholders (analytics, product, payments and finance) to gather requirements and deliver data solutions that support business goals. 
• Ensure data quality, security, and privacy through best practices in governance, testing, and monitoring. 
• Own and operate production data workflows, resolving incidents and ensuring reliability. 
• Develop and maintain infrastructure optimized for both analytics and AI workloads, including transformation and semantic layers.
• Design and monitor agentic flows aimed at democratizing data access for users across the company, ensuring reliability, scalability, and accuracy.

Tech Stack

• Languages & Tools: Python, SQL 
• Data Warehousing & Query Engines: Snowflake, AWS Redshift, Athena 
• Pipeline & Orchestration: Apache Airflow, AWS Glue, dbt 
• Cloud & DevOps: AWS (Lambda, S3, IAM), Docker, Terraform 
• Streaming: Kafka, Kinesis 
• BI & Analytics: Tableau, Power BI

Core Requirements

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field
• 5+ years of experience as a Data Engineer, with a strong focus on data pipeline development and data warehousing
• Deep proficiency in Snowflake or AWS Redshift
• Strong programming skills in Python and SQL
• Hands-on experience building LLM-powered applications or workflows in a production environment for analytical use cases, for example ‘ask your data’ interfaces
• Experience with pipeline orchestration tools (Airflow, Glue, dbt)
• Solid understanding of data modeling, schema design, and ETL/ELT processes
• Strong analytical, problem-solving, and communication skills
• Ability to work cross-functionally and mentor others
• Experience in high-growth, product-led, or SaaS environments

Nice to Have

• Familiarity with AWS infrastructure and DevOps practices
• Knowledge of data privacy and security standards (GDPR, SOC2)
• Solid understanding of agent architectures (tool use, planning, memory management), prompt engineering and evaluation

About Venn 

Venn is a fast-growing technology company transforming the relationship between renters and multifamily operators. Our platform seamlessly connects every aspect of apartment living-rent payments, events, services, maintenance, and community engagement- creating a lifestyle co-pilot for residents and an engagement engine for operators.

We’re not just building software, we’re redefining how people experience home.

The Engineering Team- Venn’s software engineers develop the tech products that power Venn’s Neighborhood Engagement Platform. The products range from mobile apps, management tools for landlords, smart home solutions, marketplaces, and more. 

The Technology - We don't just use cutting-edge technologies, we architect and own them end-to-end. Our engineers take full ownership from technical design through implementation, testing, and deployment to production.

Our backend is powered by Go with a GraphQL api layer running on AWS with Kubernetes orchestration for scalable resilient services. We've built robust CI/CD pipelines on Jenkins that our engineers own and continuously optimize. Our mobile experience runs on React Native with Expo, while our web platform leverages React - our engineers ship features across the entire stack.

We've embraced durable workflows using Temporal for complex business processes, giving us unprecedented reliability and observability. Our data infrastructure spans the full spectrum - from real-time streaming with SNS and Kinesis, through S3 data lakes, to our Snowflake data warehouse - all architected and maintained by engineers who understand every component.

We're at the forefront of AI integration, leveraging AWS Bedrock and the latest language models to build intelligent features that our users love. Our engineers don't just consume AI APIs - they design, implement, and fine-tune AI-powered experiences.

What sets us apart? Our engineers lead features from conception to production. You'll design technical solutions, write the code, build the tests, and own the results. We automate relentlessly because manual work is time better spent solving interesting problems.

Our current tech arsenal includes: Go, AWS, Kubernetes, Jenkins, React Native (Expo), React.js, Temporal, SNS, Kinesis, S3, Snowflake, AWS Bedrock, and many more tools that help us build exceptional products.

About the role 

We are looking for developers who understand and believe in software engineering best practices (design, clean code, testing, code reviews, automation, etc) and who are also aware of bad practices and anti-patterns.

The must

• 7+ years of programming experience, using Golang, TypeScript, React
• Proven experience in developing web applications
• Strong analytical thinking, systematic problem-solving skills
• Have practiced Test-Driven Development and/or Continuous Integration & Delivery                  

The nice

• Experience in other languages and frameworks such as React native and GraphQL
• Worked on numerous projects in diverse business domains
• Experienced in cloud environment development
• Degree in computer science or equivalent
• Have contributed to, or managed an open-source project 

Venn is an equal opportunity workplace. We believe in the strength of inclusive communities and thrive to build a work environment that mirrors the diversity of the cities that we love.

Axonius is seeking a Senior Software Engineer (Data Engineering). You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

• Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
• Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
• Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
• Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

Minimum Qualifications

• Experience: 5+ years of hands-on experience designing and maintaining big data pipelines in on-premises or hybrid cloud SaaS environments.
• Programming & Databases: Proficiency in one or more programming languages (Python, Scala, Java, or Go) and expertise in both SQL and NoSQL databases.
• Engineering Practice: Proven experience with software engineering best practices, including testing, code reviews, design documentation, and CI/CD.
• AWS Experience: Experience developing data pipelines and maintaining data lakes, specifically on AWS.
• Streaming & Orchestration: Familiarity with Kafka and workflow orchestration tools like Airflow.

Preferred Qualifications

• Containerization & DevOps: Familiarity with Docker, Kubernetes (K8S), and Terraform.
• Modern Data Stack: Familiarity with the following tools is an advantage: Kafka, Databricks, Airflow, Snowflake, MongoDB, Open Table Format (Iceberg/ Delta)
• ML/AI Infrastructure: Experience building and designing ML/AI-driven production infrastructures and pipelines.

#LI-HYBRID #LI-ZR1 

Axonius is seeking a Senior Data Infra Engineer. You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

• Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
• Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
• Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
• Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

Minimum Qualifications

• Experience: 5+ years of hands-on experience designing and maintaining big data pipelines in on-premises or hybrid cloud SaaS environments.
• Programming & Databases: Proficiency in one or more programming languages (Python, Scala, Java, or Go) and expertise in both SQL and NoSQL databases.
• Engineering Practice: Proven experience with software engineering best practices, including testing, code reviews, design documentation, and CI/CD.
• AWS Experience: Experience developing data pipelines and maintaining data lakes, specifically on AWS.
• Streaming & Orchestration: Familiarity with Kafka and workflow orchestration tools like Airflow.

Preferred Qualifications

• Containerization & DevOps: Familiarity with Docker, Kubernetes (K8S), and Terraform.
• Modern Data Stack: Familiarity with the following tools is an advantage: Kafka, Databricks, Airflow, Snowflake, MongoDB, Open Table Format (Iceberg/ Delta)
• ML/AI Infrastructure: Experience building and designing ML/AI-driven production infrastructures and pipelines.

#LI-HYBRID #LI-ZR1