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Menufy GTM Engineer at HungerRush. Additional Info: Full-Time in Houston, TX Remote Worldwide - Mid Level - Marketing. . 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) Though 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 on-brand and legally compliant across email and SMS channels. . . Integrate personalization signals into HubSpot so AI-agent-initiated conversations are context-enriched from the first message — not generic blasts — and every interaction is logged for closed-loop attribution . . 5) Revenue & Pipeline Analytics. . . Own the GTM analytics layer: pipeline velocity by segment, CAC by channel, LTV:CAC ratios by cohort, and marketing-influenced revenue attribution — built in a dashboard the President and VP of Growth can interrogate directly. . . Run scenario models when channel mix, pricing, or ICP assumptions shift — the kind of FP&A-adjacent analysis that turns a 'what if we doubled spend on Google' question into a 10-minute, data-backed answer. . . Flag variance without softening it: if a channel misses CPL targets by >15%, the report says so on day one, not end-of-month. . . 6) GTM Technology Roadmap & Vendor Evaluation . . Maintain a living GTM technology roadmap: what we use, what it costs, what it delivers, and what should be replaced or augmented with AI-native tooling. . . Evaluate and pilot new tools — AI agent platforms (Clay, Instantly, 11x, AiSDR, or equivalents), intent data vendors, programmatic SEO tools — with structured 30-day tests and clear pass/fail criteria before any spend commitment. AI agents replacing the traditional SDR function are a first-priority evaluation category. . . Act as the internal subject-matter expert on emerging GTM AI capabilities (agents, multimodal outreach, predictive scoring) and bring quarterly briefings to the leadership team . . What . we’re looking for . . Must-. Have (Non-Negotiable) . . Hands-on GTM Stack Experience: Has personally built (not managed vendors who built) integrations between a MarTech tool, a CRM, and at least one paid channel (Google Ads or Meta). . . Experience working alongside a SalesOps or RevOps team to consume Salesforce data via exports or API without requiring direct admin access. . . Business Analytics experience, e.g. FP&A, Data Science or Statistics to inform decisions. Can take a raw data question and convert it into an analysis while clearly defining what ‘correct’ looks like before analyzing anything. Able to articulate the business consequences of each hypothesis and analysis. . . AI-fluency in using OpenAI and Anthropic to conduct research, build and run analysis, and create new systems and workflows. Understands prompt engineering, token economics, and when to use agents vs. simple completions. . . Must-Have (Additional). . . 3–7 years of experience in a revenue-adjacent role spanning at least two of: marketing operations, growth marketing, paid media management, or lifecycle/CRM marketing — ideally in a high-volume B2C or prosumer SaaS environment where the unit of measurement is CPA, conversion rate, and LTV, not pipeline by named account. . . Demonstrated experience building automated audience pipelines to Google Ads Customer Match or Meta Custom Audiences — not just managing campaigns built by others. . . Deep fluency in funnel analytics: can diagnose a conversion drop between any two steps in the acquisition funnel — ad click to landing page, landing page to signup, signup to first order — using GA4, Meta Ads Manager, or HubSpot reporting, and produce a ranked hypothesis list with supporting data within 24 hours. . . Proactive validation mindset: given a live integration, can define what 'working correctly' means, enumerate edge cases that would break it (missing CRM fields, API rate limits, suppression list conflicts), build a monitoring layer that surfaces drift before it causes CPL damage, and articulate the business consequence of each failure mode. . . Experience in a high-volume B2C or SMB-facing environment — consumer apps, marketplace platforms, or prosumer SaaS — where acquisition is measured in CPAs and thousands of monthly signups, not enterprise pipeline stages. Menufy's motion is closer to a consumer brand winning restaurants one at a time than a B2B sales org working named accounts. . . Evidence of FP&A-adjacent thinking: has built or owned CAC/LTV models, statistical analysis, cohort analyses, or payback-period calculations that informed a real budget decision. . . Good-to-Have. (Your Unfair Advantage) . . Background in management consulting or FP&A — the President values the ability to frame a problem in a structured, hypothesis-driven way before diving into execution. . . Experience presenting analytical work to C-suite stakeholders — this role will brief the President of Menufy directly on GTM experiment results. . . . This role is right for . you if . . You believe AI mastery, combined with deep GTM and product experience, is a mandatory skill for a future CEO . . You’re entrepreneurial by nature. You don’t wait for a roadmap; you build one . . You know how to ask the right questions to find the real problem before you start building the solution . . You’re energized by a blank slate and comfortable with ambiguity. You can assess a situation, prioritize fast, and get moving . . You solve problems through systems, not workarounds. You fix root causes, not symptoms . . You can present findings to an executive team in the morning and debug a routing error in the afternoon, and you’re energized by both . . You see AI as an advantage that levels the playing field between large incumbents and nimble upstarts . . You see manual work as a sign that a system needs to be built . . You’ve been in RevOps or marketing ops and keep bumping up against what you can build. You’re ready to go deeper . Additional Information . . This position is open to candidates who are authorized to work in the United States, without sponsorship, either now or in the future. At this time, and in the foreseeable future, HungerRush is not able to support assistance with additional visa sponsorship, regarding this specific position. . . Disclaimer:  This Job Description indicates the general nature and level of work expected of the incumbent(s).  It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent.  Incumbent(s) may be asked to perform other duties in addition to those described above.   . . HungerRush is an Equal Opportunity Employer and does not unlawfully discriminate on the basis of any status or condition protected by applicable federal, state, or local municipal law.