Head of Go-to-Market Engineering

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:

Mandatory Requirements

• 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