GTM Engineer jobs in Israel

The Role As we scale fast, the constraint isn't strategy — it's trustworthy data and automated motions. You'll own all marketing attribution, all CRM data hygiene, all sales & marketing reporting, and the GTM-engineering automation behind our inbound and outbound motions. Put simply: you make every number in our board deck trustworthy, and every handoff automatic. What You'll Own Attribution. A single source of truth for source and channel performance. Not just platform-level Google vs. Meta — we need ROI cut by campaign type and buyer intent, because that's where the real differences hide. Multi-touch where it earns its complexity. CRM data quality. HubSpot is our system of record. Deduplication, enrichment, field governance, lifecycle-stage definitions, and the known gaps: firmographic enrichment (which drives our entire segmentation and routing model), country coverage, "Not a Deal" hygiene, and account-vs-deal grain. Reporting and analytics. Every sales and marketing dashboard: the funnel (MQA → meeting → opportunity → won), pipeline, cohort and conversion analysis, cost per MQA by channel, and the board metrics. GTM engineering and automation. The systems behind inbound — routing, scoring, speed-to-lead, lifecycle plumbing — that let a small team run a large motion. Outbound. You own the outbound motion end to end, including Katie, our AI SDR agent. Alta runs its own go-to-market on Alta, and you're the operator. What you learn running it goes straight back to the product team. Process and SLAs. Lead scoring, routing rules, and the operational contract between marketing and sales — defined, documented, and enforced in the system rather than in Slack. Who You Are Technically fluent. Deep HubSpot admin and ops expertise — properties, workflows, lifecycle stages, reporting — and comfortable diving into any API, enrichment tool, or automation platform to figure out how it works. A data perfectionist. You believe every number in a board deck should be trustworthy. Deduplication, field governance, lifecycle definitions and attribution models are things you own, not chores you tolerate. A builder. You'd rather build the system than describe it. You default to hands-on execution and wire tools together instead of writing a requirements doc and waiting. Analytical. You can model a full funnel, build multi-touch attribution, run cohort and conversion analysis, and turn it into recommendations someone can act on this week. AI-native. You work alongside AI agents the way other operators work alongside tools — you know what they're good at, where they break, and how to design a motion around them. This isn't a bonus at Alta; it's the job. Proactive and curious. You look for where pipeline leaks and where data breaks, and you fix it before anyone asks. Comfortable being the only one. No ops team behind you, no ticket queue in front of you. You'll be the single owner of this domain, working directly with marketing, sales leadership and finance — and you'll need to communicate clearly on deeply technical topics to people who don't share your context. Preferred Experience • • 3+ years in RevOps, Marketing Ops or GTM systems at a B2B SaaS company. • Built a marketing attribution model in B2B SaaS from scratch - not just maintained one. • Deep HubSpot expertise. (Salesforce background is welcome, but HubSpot is what you'll live in.) • Experience building GTM automation: routing, scoring, enrichment, workflow orchestration. • CRM data quality, attribution and reporting at real volume. • Bonus: SQL and data modeling, outbound tooling, hands-on experience with AI agent workflows. • Excited by a high-paced, hyper-growth environment where the scope grows faster than the org chart.

Description About Buildots Buildots is the world’s most advanced construction intelligence platform. By comparing schedules and BIM against site reality, its advanced AI transforms granular data into insights that unlock operational excellence. Over 100 global giants trust Buildots, including HOCHTIEF, Bouygues, Intel, NCC and VINCI Construction. Its impact is proven at every scale, from multi-family projects to multi-gigawatt data centers. With $297M raised, this is your opportunity to join a high-growth company that's already closing in on unicorn status. We hire curious people with bold ambitions. If you’re driven to solve ‘impossible’ challenges and want to see the tangible impact of your work shaping critical global projects and the skylines of the world’s largest cities, you belong at Buildots. About the role Our Revenue Operations team has already begun experimenting with AI agents and automation across the go-to-market lifecycle. We’ve seen enough to know there is a much bigger opportunity. Now we’re looking for an AI builder to take that from experimentation to a real capability across the Go To Market teams at Buildots. You’ll identify high-value opportunities, build and deploy AI-powered workflows and agents, create the foundations that allow them to operate safely in production, and help define how AI becomes part of the everyday operating model for our GTM organization. This is a hands-on builder role with broad ownership. You’ll work across Sales, Solutions, Customer Success, Marketing and RevOps, combining engineering ability with a strong understanding of how commercial organizations actually work. What you'll do • Build AI into the GTM lifecycle- Design and ship agents, automations and AI-powered workflows across areas such as prospecting and enrichment, lead management, account planning, deal support, approvals, pipeline management, forecasting, call intelligence and expansion. • Turn prototypes into production systems- Take promising internal experiments and build them into reliable services that can be used across the organization. You’ll work with our engineering and DevOps teams to make sure what we build is secure, maintainable and scalable. • Design for trust and appropriate autonomy- Define where AI can act independently, where people should remain in the loop, and how those boundaries are enforced. You’ll build the evaluation, monitoring, permissions and audibility needed for agents that interact with real commercial systems and data. • Build on strong data foundations- Agents are only as useful as the systems and data they can rely on. You’ll work across our CRM, GTM tools and data warehouse to improve how information is connected, structured and made available to AI-powered workflows. • Measure real business impact- We care less about the number of agents shipped than what they change. You’ll measure impact through outcomes such as faster cycle times, better data quality, higher productivity, improved conversion or time returned to teams — and communicate that impact clearly to the business. • Make the whole organization more capable- You won’t be the only person building with AI. Part of your role is creating the patterns, tooling and standards that allow others to build safely and effectively — while making it easy for the wider organization to discover, trust and use what has been created. Requirements: • 3-7 years of relevant experience, in roles such as GTM Engineer, AI GTM Engineer, RevOps Engineer, Business Applications Engineer, a Solutions/Sales Engineer with a strong technical background, an AI-forward Salesforce Developer, or a Forward Deployed Engineer. • Strong engineering ability. You can take an idea from prototype to working production system, integrate with APIs and existing applications, and make pragmatic technical decisions along the way. • Hands-on experience building with LLMs and agents. You’ve built systems involving tool use, structured workflows, context management, retrieval, agent frameworks or similar approaches, and understand how to evaluate whether they are actually working reliably. • Production mindset. You’re comfortable deploying and operating cloud-based services and working with concepts such as authentication, permissions, CI/CD, secrets, monitoring and observability. • Integration experience. You’re comfortable working with REST APIs, webhooks, OAuth, Slack applications, SQL and data warehouses. • Good judgment about AI autonomy. You understand the difference between generating an answer and taking an action, and know how to design systems appropriately when AI interacts with important business processes. • Commercial curiosity. You naturally look for high-leverage problems. You can understand a workflow, determine whether it is worth automating, and connect what you build to a measurable business outcome. • The ability to bring people with you. You can explain technical choices clearly, work across functions and build confidence in new ways of working. You don’t need to have used every technology in our stack or already know the answer to every architectural question. We care much more about whether you have built real things, learn quickly and can make good decisions in an environment where the playbook is still being written. Why join us? You’ll be joining at the point where AI inside Buildots is moving from individual experimentation to organizational capability. There is executive backing, a strong pipeline of opportunities and teams that already want to use what you build — but there is no fixed blueprint for how it should all work. You’ll have the opportunity to define that blueprint: what we build, how we build it, where AI should act autonomously, how we measure its impact and ultimately how an AI-native GTM organization operates. If that sounds like an interesting problem to own, we’d love to talk. *To support our hiring process, we may leverage AI-powered tools for tasks such as application screening, resume analysis, and response evaluation. All decisions remain under the oversight of our recruitment team. *By submitting your application, you agree that Buildots will process your personal data in accordance with Buildots' Privacy Policy.

Sauce is a premier restaurant technology platform that helps businesses grow with our Commission-Free Delivery & Pickup structure and proprietary delivery optimization technology. We are serving a 105 billion dollar US local restaurant business. Headquartered in NYC and Tel-Aviv, Sauce wants restaurants to fulfill their highest potential, this means giving local establishments everything they need to connect directly with their customers. The Sauce team pools together decades of restaurant tech experience, along with seasoned tech, sales, marketing, product and operations executives who produce an industry-changing delivery system for successful local restaurants and chains. Your mission is to architect and deliver hands-on, high-impact, tech-driven solutions that empower Sauce’s GTM engine to maximize customer value while scaling revenue and margins. As the lead architect of our AI-native GTM factory, you will scout, prototype, and maintain innovative revenue engines. By leveraging AI/LLM agents and low-code automations, you will transform our legacy tech stack and deploy revenue-generating systems in weeks rather than quarters. What You'll Do: • Hands-on Delivery - Personally lead, scope, build, test, and ship production-ready GTM workflows and automations in a matter of days, acting as architect, builder, and QA until a team is in place. • Own the GTM product and tech stack (existing, buildout, Innovation): Marketing, Sales and customer success, making sure the entire GTM is aligned and synced. • Scale velocity and quality: Work with GTM teams to identify data-backed automations business workflows that support GTM business goals. • Idea-to-Outcome Ownership - Run the entire GTM innovation funnel (discovery → hypothesis → rapid build → experiment → signal) for every revenue project. • Revenue Factory Engineering - Design the end-to-end system for targeting, acquisition, and retention for thousands of tech-skeptical SMB owners. • Build and Train Agentic GTM Platform - Own the deployment of AI agents (SDR, CS, Support). You are responsible for rigorous training cycles and daily outputs, no “set and forget”. • Stakeholder Demo & Adoption - Run weekly "show-and-tell" sessions with execs and drive adoption of your tools by the GTM team as hard as you drive implementation. What You Bring: • GTM & SMB Fluency: Marketing-Sales-CSM terminology (goals, KPIs, motions) and GTM business flows; Deep understanding of SMB behavior. • Proven track-record building solutions, integrating and developing over MarTech, and SalesTech Stacks (at least 3/5): • Ad platforms (Meta, Google) • Data, Analytics, Dashboarding: GA4, GTM, Tableau, Hubspot, Databricks, Mongo. • Communication channels automation protocols: Hubspot, AirCall, Customer.io • Websites and forms building (performance, automation, dynamic content, security) over WordPress. • Bespoke and custom business applications. • 3+ years of professional experience - A hybrid background across software engineering, product management, or growth marketing. • Technical Practitioner (AI-Native) - You are deep in the trenches with AI - not just reading about it. You are hands-on with Gen-AI stacks (Claude Code / OpenAI), automation platforms (n8n, Make, Zapier), and "vibe-coding" tools (Cursor). • Multi-hat Execution - Proven ability to play PM, architect, and builder simultaneously in a fast-paced startup setting. Advantage • Former Founder / Entrepreneurial Background - You have built something from scratch and know how to deliver with limited resources, • “Getting things done” mentality - having the right mindset to crush impediments. • Data Literacy - Strong experience with data synthesis / SQL, mostly in the CRM hygiene area , structured data enrichment, and data warehouse intelligence to ensure the AI systems actually work. What Success Looks Like: • By Month 3 - Data foundation live. First 2-3 centralized AI capabilities (e.g., automated targeting or scoring) measurably improving pipeline or rep productivity. • By Month 6 - At least 3 major tasks removed from human rep JDs and handled by the AI engine. Experimentation cadence established with "idea-to-signal" in days. • By Month 12 - First AI agents deployed and fully trained. Revenue per rep is 2-3x industry benchmarks for B2SMB. What We Offer: • Strong & Competitive Compensation Package • Paid Parental Leave • Flexible Work Environment • Generous Paid Time Off Policy • The Opportunity to Build Something that Changes the Delivery Tech Industry for the Better! • Friendly environment where you can reach your full potential and grow your career • Open minded teams for innovation and self growth • Work from home for better life/work balance Sauce is an equal opportunity workplace and an affirmative action employer. We welcome all qualified applicants regardless of race, color, ancestry, religion, sex (including pregnancy and related conditions), national origin, sexual orientation, age, marital status, disability (physical or mental), gender identity, gender expression, genetic information, veteran status, citizenship, immigration status, or any other classification, category or characteristic protected by applicable federal, state or local laws. We understand the importance of creating a more diverse and inclusive workplace and celebrate our employees for their differences.

Who is Eleos Health? The people who deliver care in our communities and homes do some of the most important work in healthcare. But too often, theyʼre asked to spend their time navigating paperwork, administrative burden, and problems they only discover after something has already gone wrong. Eleos exists to change that. Weʼre building the system of action for community-based care - helping behavioral health, hospice, home health, and other care teams spend less time reacting to problems and more time focused on the people they serve. Powered by our Polaris AI, Eleos works alongside clinicians and their teams to understand whatʼs happening across care in real time and take action before issues become problems, reducing administrative burden, protecting revenue and compliance, and giving care teams more time and capacity to deliver great care. Our vision is a world where care teams can stay one step ahead, rather than constantly catching up. Weʼre helping shift an entire industry from reactive to proactive, and we need talented people to help us get there. What is this opportunity? The people who deliver care in our communities and homes do some of the most important work in healthcare. But too often, theyʼre asked to spend their time navigating paperwork, administrative burden, and problems they only discover after something has already gone wrong. Eleos exists to change that. Weʼre building the system of action for community-based care - helping behavioral health, hospice, home health, and other care teams spend less time reacting to problems and more time focused on the people they serve. Powered by our Polaris AI, Eleos works alongside clinicians and their teams to understand whatʼs happening across care in real time and take action before issues become problems, reducing administrative burden, protecting revenue and compliance, and giving care teams more time and capacity to deliver great care. Our vision is a world where care teams can stay one step ahead, rather than constantly catching up. Weʼre helping shift an entire industry from reactive to proactive, and we need talented people to help us get there. happening across care in real time and take action before issues become problems, reducing administrative burden, protecting revenue and compliance, and giving care teams more time and capacity to deliver great care. Our vision is a world where care teams can stay one step ahead, rather than constantly catching up. Weʼre helping shift an entire industry from reactive to proactive, and we need talented people to help us get there. Who are you? You are someone who gets energized by turning a messy, manual process into something that runs automatically and at scale. You think in systems — you see how tools, data, and workflows connect across teams, and you know how to design solutions that are coherent. You do not wait for perfect requirements, you move fast but do not compromise on things that matter. You ship, you learn, and you improve. You are excited about doing this work in a behavioral health company where the downstream impact of getting operations right is real. How will you contribute? • Map current-state processes, identify automation and optimization opportunities, and build end-to-end workflows that reduce manual work and improve consistency across GTM and operations • Develop and deploy AI agents, copilots, and automation tools that support daily operations — integrating AI into existing systems to enhance decision-making and execution, not as a bolt-on layer but as a first-class component • Connect tools, data sources, and workflows across the tech stack to ensure seamless data flow between systems and enable real-time insights and actions • Create scalable frameworks for how workflows are built, maintained, and improved — establishing best practices for automation governance and performance tracking so others can operate and extend what you build • Monitor workflow performance, iterate quickly based on user feedback and operational impact, and translate ambiguous stakeholder problems into structured, executable solutions • Constantly track the AI landscape and new innovations, bringing in best practices, new tools and capabilities that move the needle • Take charge of solution deployment end-to-end from discovery to adoption. Support teams in developing enablement and the incorporation of solutions. The platform only matters if people use it. What qualifications and skills will help you be successful? • Hands-on experience building production workflows using automation platforms such as Zapier, Make, n8n, Workato, or similar • Practical experience applying AI and LLM tools to real operational workflows — including OpenAI, Anthropic, Google Gemini, or open-source models — with at least one deployed example you can speak to concretely • Logical approach, thinking in structured steps and knowing how to break down workflows, sequence them correctly, and designing how they should run before building them. • Comfort working across both technical and non-technical stakeholders and translating between the two • • Prioritizing building and shipping over prolonged planning; moving from idea to production quickly. • Driving initiatives forward with minimal oversight; proactively engaging the right stakeholders without being directed to. Taking ownership and leading confidently. • Experience in teaching and change management; treating adoption as part of the job, not an afterthought. Demonstrated patience with others. • 2–5 years of relevant experience in workflow automation, AI operations, RevOps, or a technical GTM or systems role Some nice-to-haves: • Experience with APIs, data pipelines, or low-code / no-code platforms • Exposure to CRM, support, or operational SaaS systems • Background in operations, systems design, or process improvement

Description About Us Sentra is the AI Data Readiness platform for enterprises deploying AI at scale. Sentra continuously discovers, classifies, and governs sensitive data across cloud, SaaS, data warehouses, and AI environments - giving security teams complete visibility into what AI systems can access, what they can expose, and where compliance violations exist. Unlike alternatives that copy data to vendor clouds or require customer-managed outpost infrastructure, Sentra provisions ephemeral scanners directly inside the customer's environment, delivering petabyte-scale classification at a fraction of the cost. Trusted by Lyft, SoFi, Munich Re, PennyMac, Glovo and others. About the Role Sentra's revenue engine runs on state-of-the-art AI-enhanced infrastructure that was made possible with GTM Engineering: GTM data syncs continuously into a warehouse. AI pipelines score every open deal daily and write their conclusions back into the CRM. Attribution models run across a hundred thousand touchpoints. A partner deal-registration portal, a content platform and an internal dashboard suite are all in production, deployed through CI with automated rollback. All of it was designed and shipped in-house, in a matter of hours to days, not weeks. You will be the founding GTM Engineer within the GTM Engineering & RevOps team, where you’ll take over production systems, be asked to own them, harden them, and extend them into the parts of the revenue lifecycle we have not automated yet. The GTM team is your user base. You will find where revenue is leaking, build the system that closes the gap, and own both halves: the commercial reasoning about why a deal moves and the AI-systems that enable the team to act on it. Responsibilities • Build and enhance the revenue data platform and AI automations and workflows: The CRM-to-warehouse sync, the enrichment and scoring pipelines, revenue forecasting systems. You will operate these processes, improve them, and keep them reliable where the team never second guesses the output. • Own the full revenue lifecycle systems management: One system from first touch to renewal, from demand capture and lead flow, pipeline and forecast, to renewals and expansion. Not three disconnected stacks with handoffs between them; this is genuine end-to-end ownership. • Create analytics infrastructure that allows decision-makers to scale the business. Every number we publish is versioned and carries a reason; you will keep it that way. • Drive Adoption: Building is half the job; you will measure whether reps use what we build, and treat non-adoption as a defect in the system rather than a failure of the rep. Requirements • LLM tooling as an engineer, not a consumer. You have built something where an LLM is a component in a pipeline, and you have opinions about how you verified the output. Agentic coding tools (Claude Code, Cursor or equivalent) are part of how this team works. • 5+ years in GTM operations, sales engineering, revenue operations, marketing operations or sales systems at a B2B SaaS company, preferably at high-growth startups scaling from $10M - $100M+ ARR. • Data & Git fluency: You can write the joins and window functions behind a pipeline report without help, and you can tell when a number is wrong because the query is wrong. Branches, pull requests, code review, resolving your own conflicts. Everything here ships through version control and CI. • Practical scripting and API work: Python, TypeScript or JavaScript. You have read API docs, handled auth, paginated a response and dealt with rate limits without supervision. • Deep Salesforce knowledge: You can design an object model, write and debug a record-triggered flow, reason about sharing and field-level security, and you know when the right answer is a formula field rather than automation. • Enterprise marketing automation: Marketo strongly preferred (Pardot, Eloqua or comparable considered). Sync behavior, dedupe and lead-to-contact matching are part of the job, not someone else's problem. • Commercial judgment: You can explain what a stalled deal looks like in the data, and why that matters to a quarter.

Description Location: Tel Aviv (Hybrid) We’re a well-funded cybersecurity startup building the future of secure networking, and we’re looking for our first AI GTM Engineer to build the intelligent systems behind our go-to-market organization. This isn’t a traditional RevOps role. We’re looking for a builder who loves creating tools, automations, and AI-driven workflows that help commercial teams move faster, make better decisions, and win more business. You don’t just use AI. You build with it. From intelligent automations and AI agents to internal products and custom workflows, you’ll help redefine how a modern GTM organization operates. If solving business problems with technology gets you excited, we’d love to meet you. What You’ll Do? • Build internal tools that help Sales and Marketing work smarter and faster • Design and automate GTM workflows across prospecting, qualification, pipeline management, and customer engagement • Analyze the revenue funnel, identify bottlenecks, and continuously improve conversion and execution • Own and optimize our GTM tech stack, including CRM, enrichment, automation, and AI tools • Build dashboards and analytics that help the team understand what’s working and where to improve • Develop playbooks, AI agents, automations, and self-service tools that eliminate repetitive work • Work closely with Sales, Marketing, Product, and Engineering to solve business challenges with technology • Explore new AI technologies and bring the best ideas into the business Requirements Who You Are? • You have 4+ years of experience in GTM Engineering, RevOps, Sales Operations, Growth Operations, or a similar technical GTM role • You’ve worked in a high-growth B2B SaaS startup • You enjoy building things from scratch and making them better over time • You’re constantly experimenting with new AI tools and technologies • You understand how modern sales organizations operate and how technology can make them more effective • You have hands-on experience with tools like HubSpot, Clay, Apollo, Salesforce, n8n, Zapier, Make, Outreach, or similar platforms • You’re comfortable working with APIs and connecting different systems • You know how to turn data into practical insights • Experience with Python, JavaScript, TypeScript, SQL, or other development languages is a big advantage Why Join Us? • Be the first AI GTM Engineer and build this function from the ground up • Join a fast-growing, well-funded cybersecurity startup • Work directly with experienced founders • Build products and tools that have a direct impact on revenue • Use the latest AI technologies to solve real business challenges • Grow with the company as we scale If you’re the kind of person who enjoys building more than maintaining, loves using AI to solve real problems, and wants to shape how a modern GTM organization operates, we’d love to hear from you.