דרושים » אינטרנט ודיגיטל » Marketing Operations Engineer (9-month maternity leave cover)

As a Marketing AI & Automation Architect, you will help design and build the systems, workflows, and tools that enable this transformation. You will partner closely with teams across Marketing and Revenue Operations to identify opportunities where AI can unlock scale, accelerate campaign execution, improve insights, and streamline how work gets done. From early campaign ideation to operational execution, you will translate marketing needs into practical AI-powered solutions.

This is a hands-on creator role, which sits at the intersection of marketing strategy, technology, and AI engineering. You will design and build AI-powered workflows, agents, and integrations that connect our marketing tools, data, and processes into a smarter, more scalable system. Your work will help marketers focus more on strategy, creativity, and growth, while AI supports research, execution, and operational scale.
What You'll Own
Partner with Marketing teams to identify opportunities where AI can accelerate work, improve insights, and scale campaign execution.
Design and build AI-powered marketing workflows including AI automations, agents, and workflows that support key marketing activities such as research, content development, campaign planning, outreach preparation, and performance analysis.
Integrate AI into our Marketing technology ecosystem, connecting AI solutions to core systems including Salesforce, Monday, marketing automation platforms, and data tools using APIs, webhooks, and automation platforms.
Develop scalable, repeatable AI systems and workflows that enable teams to execute campaigns, generate insights, and produce content more efficiently.
Implement monitoring, guardrails, and data quality processes to ensure AI systems are reliable, responsible, and scalable.
Help teams incorporate AI tools and workflows into their daily work and act as a trusted advisor on how to use AI effectively.
This role works across the full marketing organization and partners closely with teams including:
Product Marketing to accelerate research, positioning, and messaging development
Field Marketing to scale campaign planning, personalization, and execution
Content and Design to enable AI-assisted content and asset production
Corporate Marketing to support campaign orchestration and storytelling
Revenue Operations to improve CRM structure, lead lifecycle management, and data quality
IT and Engineering to ensure solutions align with enterprise architecture, security, and compliance
Data and Analytics teams to improve insights, measurement, and AI modeling

Were looking for a Senior Marketing Operations Manager to take ownership of our marketing infrastructure, automation, technology stack, processes, and data strategy.
Marketing Operations plays a critical role in connecting data, systems, and teams to drive scalable growth across both Sales-Led (SLG) and Product-Led (PLG) motions. This role sits at a key intersection within our Marketing organization, enabling alignment across teams, technologies, and processes.
You will be both a hands-on builder and a strategic partner, working closely with Lifecycle Growth, Product Marketing, Demand Generation, BI, MIS and GTM teams to design and scale high-impact marketing workflows.
Youll play a central role in transforming how we operate, bringing a modern, AI-first approach to marketing operations, simplifying complex legacy processes, and driving measurable business impact.
Key Responsibilities:
Own and optimize marketing automation platforms, building scalable multi-channel campaigns, lifecycle journeys, and nurture programs
Lead advanced audience segmentation and ensure seamless lead flow across SLG and PLG funnels
Design and implement scalable marketing processes, including campaign execution, lead management, and data governance
Set up and maintain lead capture integrations while operating data enrichment strategies using internal and external sources, ensuring accurate data flow and improving segmentation, targeting, and personalization
Own data governance across marketing systems and CRM, ensuring high standards of accuracy, consistency, and scalable data structures across multiple objects
Collaborate cross-functionally to translate business needs into operational solutions and drive alignment on GTM and KPIs
Analyze campaign and funnel performance, delivering actionable insights and defining measurement frameworks with BI and Analytics teams
Drive AI innovation, including redesigning workflows and implementing AI-driven solutions

Were looking for a Senior BI Data Engineer to join our BI team and take end-to-end ownership of high-impact analytics foundations. This role sits at the core of how measures success, makes decisions, and scales - turning raw data into trusted, business-critical insights used across Product, GTM, and Finance.
Youll design and evolve data models, pipelines, and the BI layer, work closely with Data Science and business stakeholders, and help raise the bar for analytics engineering across the company.
Hands-on experience using GenAI to improve analytics engineering workflows, automate development processes, and increase delivery speed is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy owning data foundations end to end - from raw data to semantic layers
You like turning ambiguous business questions into clear, governed metrics
You care about data quality, performance, and trust at scale
You enjoy mentoring, setting standards, and leading by example
You actively leverage AI tools to improve development speed and analytical accuracy

Were looking for a Data Engineer to build and scale the data infrastructure behind our Sales Streaming platform. This role is about owning pipelines that process massive volumes of data and power real-time, AI-driven features used by millions of sales professionals.
Youll work end to end - from data lakes to real-time streaming - collaborating closely with Data Science, ML, and Product teams to turn complex data into high-impact product capabilities.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy building data systems that run at scale and serve real users
You like owning your work end to end, from design to production
Youre a problem solver who enjoys turning messy data into reliable systems
You value autonomy, impact, and fast decision-making
Youre comfortable working in dynamic, AI-forward environments

we are looking for a Data Infra Tech Lead.
The Data Group builds and maintains the core data assets that power our products, from our Company and Contact databases to our Connect and Recommendation systems. The Data Tech Lead sits at the forefront of that mission, leading engineering innovation that directly shapes the experience of our growing user base and drives the evolution of intelligent data services.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
Your impact and responsibilities:
Leading the design and development of scalable, high-performance data workflows, including both batch pipelines and real-time data products.
Defining, implementing, and enforcing engineering best practices related to code quality, testing, CI/CD pipelines, observability, and documentation.
Mentoring, supporting, and growing a team of data engineers, fostering a collaborative and high-performance engineering culture.
Identifying opportunities to create new data assets and features that expand product capabilities and value proposition.
Driving architectural decision-making in areas of data modeling, storage solutions, and compute resources within cloud environments such as Databricks and Snowflake.
Collaborating closely with cross-functional stakeholders- including Product, DevOps, and R&D - to ensure effective delivery and platform stability.
Promoting and championing a data-driven mindset across the organization, balancing technical rigor with business context and strategic goals.

Were looking for driven and talented people like you to join our R&D team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
As a Senior Software Engineer - AI , youll design, build, and own production grade AI agents that operate at the core of cloud security platform. Youll work on distributed, cloud native services that embed agentic AI workflows into existing microservices architecture.
This role goes beyond building AI logic: youll be responsible for operating AI systems in production, ensuring they are observable, reliable, and continuously improving through systematic evaluation and data driven iteration.
On a typical day youll:
Design and implement cloud-native, distributed services that power AI-driven security features
Build and maintain agentic AI systems that reason over large-scale cloud security data and interact with multiple internal services
Own AI agents in production, including deployment, monitoring, troubleshooting, and performance optimization
Implement observability for AI systems, including metrics, logging, tracing, and alerting for agent behavior, quality, latency, and cost
Develop continuous evaluation pipelines for agentic solutions, including offline testing, regression detection, and production feedback loops
Design and optimize RAG pipelines that operate reliably over high-volume, high-variance security data
Apply strong software engineering practices: clear APIs, clean abstractions, robust error handling, and scalable data flows
Lead services end to end - from design and implementation to deployment and long-term operation
Collaborate closely with Data Platform, Product, and Security Research teams to ensure AI behavior is correct, explainable, and trustworthy

As a Marketing Manager at our company, you will turn strategy into execution across campaigns, content, and product storytelling.
Working closely with the VP of Marketing, Director of Product Marketing, and cross-functional teams, you'll own day-to-day marketing initiatives that drive awareness, pipeline, and product adoption.
This role is ideal for someone who thrives in a fast-paced environment, enjoys building and shipping, and knows how to translate complex product capabilities into clear, compelling narratives that resonate with finance and operations leaders.
You'll play a key role in shaping how our products show up in the market across our website, campaigns, launches, events, PR, and partner channels.
Responsibilities
Content & Social Media
Create and manage high-quality marketing content (landing pages, blogs, reports, etc.)
Create and manage social media content that reinforces product positioning, builds brand credibility, and drives awareness, while continuously testing and optimizing performance.
Collaborate with Demand Gen to develop and launch high-impact campaign assets that drive pipeline
Website Experience
Own and continuously improve the website as a core growth channel, ensuring pages and key journeys are clear, up to date, and optimized for conversion. Collaborate with Product,Design, and Demand Gen to launch new pages, test messaging and layouts, and use data and AI tools to improve performance and user experience.
Email marketing
Plan and execute targeted email campaigns across the funnel from event promotions to lifecycle and nurture sequences, optimizing for engagement and conversion.
Lead Field Marketing & Events
Plan and own end-to-end event execution for field marketing initiatives, including industry events, trade shows, and hosted experiences
Partner with Sales to maximize pipeline generation from events (pre-event outreach, onsite engagement, post-event nurture)
Develop event-specific content and campaigns to drive attendance and engagement
Measure and report on event performance and ROI

Were looking for a crazy talented Marketing Designer with a strong love for UX/UI, brand, and emerging technologies to join the creative force behind the brand.
we are a team of skilled, passionate creatives, currently in a stage of rapid growth. Were looking for someone who thrives in a fast-paced environment, pushes creative boundaries, experiments with new tools (including AI), and takes ownership from concept to execution.
Youll be part of a team that builds a forward-thinking, global brand and culture shaping digital experiences, marketing assets, events, and everything in between that connects our customers and partners .
What youll do:
Take projects end-to-end from concept, research, and ideation to polished execution
Deliver a high level of craft across UX and brand: UX flows, wireframes, high-fidelity mockups, interactive prototypes, design systems, and final assets
Use modern design processes, including research, exploration, iteration, and stakeholder feedback
Collaborate closely with marketing, product, content, and other teams across the company
Understand the business and marketing strategy behind each project and translate it into strong design solutions
Own your work managing timelines, assets, reviews, and approvals
Explore and integrate AI-powered tools to improve creativity, speed, workflows, and experimentation

we are seeking an Ad Operations Analyst to drive data visibility and operational intelligence across our Supply organization. In this role, you will bridge the gap between raw programmatic logs and actionable business intelligence, helping ensure operational stability and performance across multiple integrations.
You will analyze high-volume programmatic traffic and large-scale advertising datasets, working at the intersection of operations, analytics, and product, collaborating closely with Supply Operations, Product, Data Engineering, and Business teams. This is a high-impact role where your insights will help improve operational transparency, detect issues early, and support data-driven decision-making across the organization. The team actively leverages modern AI and automation tools to enhance analytics workflows, monitoring, and data exploration.
Responsibilities:
Own and develop supply monitoring frameworks and reporting dashboards used across the Supply organization to detect and resolve revenue-impacting issues
Aggregate and analyze data from multiple internal systems and external advertising platforms to support operational monitoring and analysis
Work with large-scale datasets across multiple advertising integrations, including SSPs, exchanges, and partner platforms
Identify trends, anomalies, and operational issues while generating actionable insights
Provide insights that influence operational decisions and supply optimization strategies
Investigate data discrepancies and operational issues by combining business logic, product understanding, and large-scale data analysis
Build and maintain automated data pipelines and API-based data collection processes
Develop dashboards and data visualizations that support operational monitoring and business decision-making using modern BI and AI-enabled tools
Collaborate closely with Data Engineering to improve data infrastructure and reporting reliability
Work with Product and business teams to visualize operational data and support strategic initiatives
Design smart alerts and monitoring systems, including anomaly detection capabilities, to proactively identify operational issues
Use automation and modern AI tools to improve analytical workflows and operational efficiency

We are expanding our Research Team and are looking for a Junior Malware Researcher with a strong technical mindset, excellent communication skills, and a passion for problem-solving.
As a Malware Researcher, you will be responsible for hunting emerging malware and malvertising campaigns and developing effective detection methods to protect global customers. You will work closely with the R&D and Product teams and be part of a friendly, professional team based in Tel Aviv, supporting customers worldwide.
Responsibilities:
Detect, monitor, and hunt new malvertising and malware threats
Research new attack vectors, delivery methods, and evasion techniques
Develop and improve detection logic and signatures
Investigate malicious campaigns using internal tools, databases, logs, and external intelligence sources to uncover hidden patterns
Analyze web traffic, scripts, redirects, and network behavior to identify malicious activity
Collaborate with R&D and Product teams to translate research into production-grade protections
Contribute to internal documentation, research reports, and best practices to improve knowledge sharing and support processes