GTM Engineer jobs in Israel

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.