Menufy GTM Engineer

Who we are Menufy exists for one reason: to help independent and small to mid-sized restaurants win more direct orders, build real guest loyalty, and grow on their own terms. We give restaurant owners a fully managed online ordering site, direct ordering tools, guest marketing capabilities, and a Success Team that’s always in their corner. What this role is about We’re growing fast, and we need someone who can build the systems behind that growth. This role is for an entrepreneurial builder: someone who doesn’t wait for a roadmap, asks the right questions to find the real problem, and knows how to build the right system to solve it. As our GTM Engineer, you’ll own the infrastructure that connects our data, campaigns, and revenue. You’ll report directly to the VP of Marketing and work closely with the President and General Manager, driving the organization’s market intelligence, advanced lead-generation campaigns, building a deep understanding of the leading indicators of customer experience, reporting advancements, and continually improving go-to-market performance. You’ll partner closely with Product Marketing, Product Management, and Sales Operations to understand the holistic impact on our customers and business. What you’ll Own 1) Thought Leadership on GTM Analytics Collaborate with the VP of Growth Marketing to inform and lead the thinking around tools, analysis, and approach for solving pressing go-to-market issues using AI in conjunction with conventional tools. Identify and prioritize the most pressing or promising opportunities to advance Menufy’s ability to take market shareMenufy Develop AI workflows to pursue advanced analytics to inform decisions Develop AI workflows to orchestrate continually improving campaigns that give Menufy an outsized advantage in the market 2) GTM Stack Integration & Automation Own the technical integration layer between Menufy's website, Google Ads, Meta Ads, and HubSpot (marketing automation) zero-latency data flow between them is the baseline expectation. Salesforce is managed by the Sales Operations team; the GTM Engineer works with sales ops to specify, request, and validate the data handoffs that feed marketing campaigns and ad audiences. Partner with Sales Operations to design and validate automated pipelines that push lead-scoring signals from Salesforce into ad audiences in near real-time. The GTM Engineer owns the specification, the HubSpot-side logic, and the ad platform configuration; sales ops owns the Salesforce admin layer. The shared goal is eliminating manual export/import cycles that create 24–72-hour lag. Architect event tracking (website, landing pages, email clicks, ordering path drop-offs) so every campaign has closed-loop attribution from ad impression to signed contract. Reduce GTM stack fragmentation: identify redundant tools, consolidate where possible, and document the single source of truth for each KPI. 3) AI-Powered ICP Discovery & Campaign Intelligence Work with Sales Operations to access structured exports of Salesforce call records, CRM notes, and win/loss data, and work with the Engineering team to access customer performance and tool usage data to extract: (a) the sharpest Ideal Customer Profile signals, (b) the messages that correlate with closed-won, and (c) the friction points that correlate with churn or lost deals. Direct database access is not available; the GTM Engineer must be able to specify precisely what data they need and validate its completeness when received. Translate those signals into look-alike audiences pushed directly to Google and Meta — with a documented feedback loop so audiences refresh as new data arrives. Build 'self-healing' campaigns: automated rules that reallocate budget toward top-performing ad sets, pause underperformers, and surface anomalies (CPL spike, CTR drop) to the VP of Growth before they become material misses. Own A/B test architecture — hypothesis generation, audience splits, statistical significance thresholds, and results reporting — so the team runs 2-3x more experiments per quarter without adding headcount. 4) Hyper-Personalized Restaurant Outreach Develop an automated workflow that audits a prospect restaurant's digital footprint (Google Business Profile score, website structure, online ordering presence, review velocity) and compares it against Menufy's best-in-class restaurant benchmarks. Use that gap analysis to auto-generate hyper-personalized outreach messages — email subject lines, ad copy variants, and AI agent conversation starters — each tuned to that specific restaurant's most visible gap (e.g., no online ordering, weak review velocity, unoptimized Google Business Profile). Deploy AI agents that advance asynchronous conversations with prospects autonomously — from first touch through qualification to a yes — without human SDR involvement. The GTM Engineer owns the architecture, prompt logic, conversation branching, and fallback rules that keep these agents o