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

• 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.

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 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.

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!

• 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.

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

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

eko is an innovative e-commerce startup dedicated to empowering brands to create, display, and optimize their video assets across digital platforms.

Thanks to our groundbreaking partnership with major retailers and our ability to demonstrably increase e-commerce sales, we recently opened a new facility focused on processing, capturing, and delivering data & media for millions of unique products annually.

Our first-of-its-kind facility opened in Northwest Arkansas in the summer of 2025 and is rapidly scaling to support high-volume, high-quality product media capture at unprecedented speed and scale. Want to learn more about eko? Visit eko.com

As you know, timing is everything. This is your chance to join Eko at a pivotal moment as we enter our scale phase. With hundreds of customers and millions of users over the years, you'll have the opportunity to make a significant impact on our success and grow alongside us. It will surely be exhilarating!

So let’s talk about some tech 

Eko's core technology combines an advanced visual capture infrastructure, cloud-based automated post-production processes, a scalable streaming platform, and proprietary application layers that utilize GPU shader video rendering and animations. Our platform includes modern full-stack development and integrations to the world's e-commerce, catering to the scale and standardization demanded by the world's largest enterprise brand.

What does it mean to be a DevOps at eko?

Being a DevOps Engineer at Eko means connecting with the business at large, rather than focusing solely on a specific niche. You'll collaborate with various departments, and the infrastructure and delivery pipelines you contribute to will reach millions of end-users.

We value expanding skill sets, discovering new areas of excellence, and pursuing passions over rigid job titles.

Your true potential 

CVs and resumes can’t capture the full essence of who you are as a developer. We believe in looking beyond project bullet points and tech stacks to understand the person behind them. We prioritize how you think and solve problems over specific programming languages and their quirks.

Our ideal candidates are curious, creative thinkers, and continuous learners with a passion for technology. If you thrive on learning by doing, love taking on exciting challenges, and enjoy exploring new territories, then Eko is the place for you.

WHAT WILL YOU DO…

• Lead features end-to-end with full ownership and accountability, from design through deployment.
• Establish monitoring and observability practices that provide real-time visibility into complex workflows and distributed systems.
• Design and build infrastructure for large-scale usage.
• Shape how we rapidly build and release code to production for millions of viewers.

OUR DREAM CANDIDATE…

• 3-5 years of experience as Devops Engineer
• Proven experience building and maintaining high-scale, high-availability production systems for enterprise environments, with a track record of handling mission-critical systems.
• Deep understanding of cloud computing (AWS or GCP).
• Strong hands-on experience with container orchestration using Docker and Kubernetes, including deploying and managing containerized workloads in production.
• Advanced knowledge in JavaScript
• Advanced networking knowledge, including load balancing and firewall configuration.
• Strong background in monitoring, logging, and alerting systems (New Relic, Datadog, Mezmo, Kibana), with experience implementing observability practices for distributed systems.
• Fluency in infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi.
• Proficiency in scripting languages (Bash, Python, or Go) for automation and system management.

Not a must, but we’ll value any experience with these tools we’re already using:

• Familiarity with messaging queues and event-driven architecture (e.g., Kafka, RabbitMQ, Kinesis)
• Proven experience in security best practices and vulnerability management.
• Experience with SQL and modern data stack tools (e.g., MySQL, Postgres, Snowflake, dbt).
• Experience in software development is a strong advantage.
• Degree in Computer Science (not a must; we’re always looking for super-talented people).

Benefits: 

• Stock option plan
• Hybrid model 
• Dog friendly 
• Fitness training 

At Eko, we're hiring people, not just skills. If you possess some of the qualities we're looking for but not all, and still feel you're a great fit, we encourage you to apply. At eko, we believe in a creative approach to everything, no matter what role we’re in. We believe in meaningful choice, both at work and in life, and know our workplace only gets better when people can bring their whole selves to the office. We have offices in NYC and TLV, and an AI-powered Robotic Capture Factory in Bentonville. We’re software developers and spray paint artists, poets and band jammers, fantasy sports fans and financial whizzes, chess-heads and UXperts, pop culture nerds and product managers, data wizards and yoga instructors. We’re passionate about art, entertainment, technology, and everything in between. It’s our unique mix of talents and passions that puts us at the forefront of interactive video. We have as many stories as we do people, and we can’t wait to hear yours.

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

We are looking for a Business Analyst to join our GTM team. You’ll play a pivotal role in empowering our Go-to-Market teams with data-driven insights that fuel growth, efficiency, and innovation.

Our Technologies: SQL, Tableau, DBT, G-Sheet, Salesforce

Why Join Us:

• Make a direct impact by shaping how we define and measure success across the GTM organization
• Support the company’s growth and profitability goals by playing a key role in transforming financial data into actionable insights
• Collaborate cross-functionally with smart, passionate teams in a data-centric and supportive environment
• Work directly with senior leadership, providing clear, actionable insights to drive their business units forward.
  Operate with significant autonomy and a clear mandate to transform our analytics and elevate performance across multiple core domains
•  

You’ll be:

• Defining KPIs and measuring them for the GTM different groups (Marketing, Sales, and Partners) to track performance and drive strategic initiatives
• Building reports, dashboards, and metrics to deliver actionable insights
• Serving as an analytics focal point, working closely with a wide range of cross-functional teams
• Identifying and automating manual or repetitive processes to improve accuracy, efficiency, and scalability across analytics workflows

 Your experience:

• Strong analytical skills with the ability to turn data into strategic insights
• Experience with BI tools such as Tableau, Looker, or Power BI (we use Tableau)
• Proficiency in SQL
• Excellent communication and cross-functional collaboration skills
• High level of independence and self-motivation
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities
• Minimum of 4+ years of experience as a Business/Data Analyst or similar role
• BA/BSc in Industrial Engineering, Information Systems, Economics, Statistics, Mathematics, or a related field

Nice to Have:

• Experience with Salesforce
• Experience in modeling data tables and building scalable data models
• Experience with NetSuite

At Yotpo, we believe in hiring people who are passionate about their craft. If you’re excited about this role and ready to dive into meaningful work, we’d love to hear from you.

• Design, implement, and maintain scalable and reliable data pipelines and backend systems supporting both operational and analytical needs, with a focus on ML/AI product enablement.
• Ensure data processing is optimized for speed, efficiency, and fault tolerance, enabling seamless integration with AI/ML workflows and reliable performance across all Eleos Health products.
• Monitor and improve uptime, reliability, and observability of our data infrastructure and pipelines.
• Build and maintain systems to ensure data quality, consistency, and usability across the organization, enabling advanced analytics and AI solutions.
• Work closely with product and engineering teams to deliver new features rapidly and with a high standard of technical excellence.
• Drive innovation in how we build, measure, and optimize data features, backend services, and AI product integrations.
• Participate in on-call rotations with a service-oriented approach and fast responsiveness.
• Lead scalability efforts to support increasing data volumes, expanding AI/ML initiatives, and new product launches.

• At least 5 years of experience with Python in backend or data engineering roles, designing and operating large-scale data pipelines, backend services, and data infrastructure in production environments.
• Hands-on experience working on ML/AI-powered products in production, with strong understanding of requirements for integrating data platforms with AI features.
• Familiarity with modern LLM (Large Language Model) and RAG (Retrieval-Augmented Generation) technologies, and experience supporting their deployment or integration.
• Familiar with or have worked with these technologies (or alternatives):
  • Data Processing & Streaming: Apache Spark, DBT, Airflow, Airbyte, Kafka
  • API Development: FastAPI, micro-service architecture, SFTP
  • Data Storage: Data Lakehouse architectures, Apache Iceberg, Vector Databases, RDS
  • ML/AI: ML/LLM libraries and frameworks (such as Gemini, Hugging Face, etc.)
  • Cloud Infrastructure: AWS stack (S3, Firehose, Lambda, Athena, etc.), Kubernetes (K8s)
• Demonstrated ability to optimize performance and ensure high availability, scalability, and reliability of backend/data systems.
• Strong foundation in best practices for data quality, governance, security, and observability.
• Ability to collaborate effectively with engineering, data science, and product teams in a cross-functional setting.
• Track record of innovative thinking on feature-level implementations, metric definitions, and AI/data integrations.
• Service-oriented approach, particularly in high-responsibility, on-call situations.

This is a unique opportunity to join a startup that is having a meaningful impact on the well-being and mental health of thousands. We have

• A product that positively impacts peoples' lives every single day.
• A team of amazing people with a shared vision and the infinite drive to make it happen
• We offer significant equity.
• Opportunity to build, grow and become highly instrumental in shaping how technology can increase the effectiveness of therapy.
• Hybrid work opportunities. 
• Mental health days off you can take any given moment simply because you need them. 

HoneyBook is the leading AI-powered business management platform for service-based business owners. Designed to enhance—not replace—independent professionals, HoneyBook’s AI-powered tools help businesses attract leads, connect with clients, book projects, and manage payments more efficiently. With AI seamlessly integrated into every workflow, entrepreneurs can focus on their craft while scaling their businesses with confidence. Since its founding in 2013, HoneyBook has powered over 25 million client relationships and processed more than $12 billion in transactions, helping independent businesses grow faster and smarter.

Our culture is built on five core values that inform everything we do. We encourage collaboration, feedback, ownership, and have a growth mindset. We know experience comes in many forms, some visible on your resume, others not. No one candidate will be a 100% perfect match to our description, so if you thrive in a fast-paced, intellectually-charged environment and have similar experience to what we are looking for, we encourage you to apply.

We are on the search for a Marketing Data Analyst who will join our Data team in Tel Aviv. As a Marketing Data Analyst in a Data-Driven company, you will have a significant opportunity for impact and drive the company to new heights. You will influence decision-making processes throughout marketing budget decisions, new user journeys, be a partner to cross-functional teams within data, marketing & Top of Funnel, and drive strategic business decisions that shape the direction of the company. 

 Here are a few of the things you will do:

• Own end-to-end analytics for marketing and product growth initiatives, directly supporting business strategy and growth, including and not limited to acquisition, lifecycle, and user onboarding.
• Act as the primary data owner for the planning, monitoring, and measuring a variety of marketing initiatives, ensuring accuracy, consistency, and trust in decision-making across stakeholders, enabling your stakeholders to learn from data and iterate with confidence.
• Translate complex datasets from multiple sources into clear, actionable insights with measurable business impact.
• Proactively initiate and perform ad hoc research and deep-dive analyses to surface unknown business opportunities to inform strategic and operational decisions.
• Partner with marketing, product, finance and company leadership to drive cross-functional, data-driven outcomes.
• Design, improve, and scale analytics infrastructure, data pipelines, and workflows to suit your analytics needs; work hands-on using tools such as SQL, DBT, Looker, and partner closely with Data Engineering and Data Science teams.
• Design, execute, and evaluate A/B tests using rigorous statistical methods and well-defined KPIs, including ownership of appropriate KPI selection.
• Present insights and recommendations to senior stakeholders with clarity and influence, through written communication, presentations, and via dashboards.
• Contribute expertise to shared analytics standards, best practices, and knowledge forums (e.g., Data Guild).

Interested? Here's what we're looking for:

• 3+ years of experience in data analytics roles with expert SQL skills and data visualization tools - Looker, Tableau, PBI, Omni, etc.
• 2+ years of experience working in the marketing data analytics field.
• Proven track record collaborating with teams to leverage data-driven insights to improve performance.
• You have a bias towards action; you don’t wait for someone to tell you what to do and are comfortable working with ambiguity.
• You don’t stop once you pull the data; you love turning numbers into actionable insights.
• You’re a strong communicator and have an art for communicating complex findings in a simple way.
• Your thinking is structured, and you have excellent intuition for numbers and data.
• And most importantly, you believe in HoneyBook’s mission and know how you will contribute to our success.

The good stuff:

• Mission-driven: You'll be joining more than just another startup - our members are at the heart of everything we do.
• Impact: We move quickly and encourage every employee to push the envelope. Our best ideas come from out-of-the-box thinking and innovation; be ready to fail fast and often!
• Compensation: We offer a competitive salary + meaningful equity based on merit.
• Benefits + Perks: From wellness programs to exceptional family leave policies, the health and happiness of our employees is foremost.

Our core values:

• People come first - As we explore opportunities and work through challenges.
• Raise the bar - We push for greatness - for ourselves and our members.
• Own it - Trust and ownership let us make decisions with confidence.
• We love what we do - And what we create for our members.
• Keep it real - Authenticity, respect and transparency are at our core.

The opportunity at HoneyBook is huge – our primary customers today are creative businesses that generate in aggregate $150B in revenue per year in the US. Founded in 2013, HoneyBook is based in San Francisco and Tel Aviv, has raised $498M and is funded by Tiger Global Management, Norwest Venture Partners, Aleph, Hillsven Capital, OurCrowd, Durable Capital Partners LP, Vintage Investment Partners, Battery Ventures, Citi Ventures, Zeev Ventures and 01 Advisors.

Follow us on Instagram, Facebook and Medium and catch the latest stories about HoneyBook. Read about what our employees are saying about us on Glassdoor.

Senior Data Engineer

About the Role

Token Security, a leading platform for Non-Human Identity (NHI) management, is seeking an experienced Senior Data Engineer to join our growing team. The ideal candidate will have deep expertise in building large-scale data pipelines, designing high-performance data stores, and enabling analytics on massive security datasets. This role will be key in shaping how we ingest, process, and analyze billions of identity and activity logs to deliver insights to our customers.

Responsibilities

• Collaborate closely with Product, Backend, and Security teams to transform raw data into customer-facing features and insights.
• Design, implement, and maintain scalable ETL/ELT pipelines to process large volumes of log and event data.
• Build and maintain data ingestion frameworks at scale.
• Ensure data quality, availability, and performance.
• Proactively monitor, troubleshoot, and improve data infrastructure to support rapid growth.
• Architect and optimize ClickHouse, PostgreSQL, and other data stores for fast queries and efficient aggregation.

Requirements

• 5+ years of experience in a Data Engineer role, with a track record of building and maintaining scalable backend systems.
• Strong communication skills, collaborative mindset, and a passion for building data-driven products.
• Proven track record with ETL/ELT pipelines and data pipeline frameworks.
• Proficiency in Python and experience working with large-scale backend systems.
• Strong hands-on experience with Data Warehouse (e.g., Redshift, BigQuery, Snowflake).
• In-depth experience of cloud platform services (AWS preferred).
• Bonus: experience with event streaming technologies (Kafka, Kinesis) or data orchestration tools (Airflow, dbt, Dagster).