GTM Engineer

GTM Engineer — AI Search / Growth Automation

SF Bay Area (Onsite)

About the Client

Our client is a fast-growing AI infrastructure and marketing technology company helping brands win visibility in the new era of AI search. As customer discovery shifts from traditional search engines to AI assistants, the company gives businesses the tools to understand, optimize, and improve how they show up across generative AI platforms.

The company operates in one of the fastest-emerging categories in marketing technology: AI search optimization, also known as Answer Engine Optimization and Generative Engine Optimization. Its platform helps teams track brand visibility across major AI engines, uncover content and citation gaps, automate optimization workflows, and connect AI search performance to measurable business outcomes.

This is a confidential search for someone who wants to build the growth engine behind a category-defining company.

About the Role

This is not a “run campaigns and make pretty decks” marketing role.

We are looking for a

GTM Engineer

: part growth hacker, part automation builder, part revenue operator, part technical problem solver. The right person is obsessive about finding leverage. They know how to use AI tools, data, automation, scraping, enrichment, outbound systems, landing pages, experiments, and unconventional tactics to create pipeline and accelerate growth.

You will build systems, not just campaigns. You will test ideas quickly, kill what does not work, double down on what does, and constantly look for ways to make the company’s go-to-market motion faster, sharper, and more scalable.

The ideal candidate is the kind of person who sees a manual GTM process and immediately thinks: “I can automate that.” They are curious, resourceful, commercially aggressive, and comfortable operating without a playbook.

Responsibilities

• Build, test, and scale creative GTM systems that generate qualified pipeline and accelerate revenue growth
• Use AI tools, automation platforms, data enrichment, scraping, APIs, CRM workflows, and outbound systems to create high-leverage growth motions
• Design and run rapid experiments across outbound, inbound conversion, content distribution, partner channels, product-led growth, and lifecycle touchpoints
• Identify high-intent accounts, buyer signals, competitive triggers, and market moments that can be turned into scalable campaigns
• Create automated workflows for prospecting, personalization, routing, follow-up, nurture, reporting, and sales enablement
• Partner closely with sales, marketing, product, and leadership to turn growth ideas into working systems
• Build custom lists, workflows, landing pages, enrichment flows, AI agents, and campaign infrastructure
• Analyze funnel performance, diagnose bottlenecks, and improve conversion across the buyer journey
• Bring new tools, tactics, and unconventional ideas to the table before they become standard practice
• Own outcomes, not activity — pipeline, meetings, conversion, velocity, learning speed, and revenue impact

Requirements

• Experience in growth, GTM engineering, revenue operations, sales automation, demand generation, or technical business development
• Strong working knowledge of modern GTM tools such as Clay, HubSpot, Salesforce, Apollo, Instantly, Smartlead, Zapier, Make, Airtable, Notion, Webflow, Retool, or similar systems
• Ability to use AI tools to increase speed, personalization, research quality, workflow automation, and campaign output
• Strong analytical mindset with the ability to turn data, buyer signals, and market insights into action
• Comfort with technical workflows, APIs, scraping, enrichment, CRM logic, automation builders, and no-code or low-code systems
• Proven ability to move fast, test aggressively, and operate in ambiguity
• Strong copy instincts and the ability to create messaging that cuts through noise
• Commercial mindset with a clear understanding of pipeline, conversion, CAC, sales velocity, and revenue impact
• High ownership, low ego, and a bias toward building instead of waiting

Preferred Qualifications

• Experience at an early-stage or high-growth AI, SaaS, MarTech, RevTech, or data platform company
• Background building outbound engines, AI-powered prospecting systems, lifecycle automations, or growth experiments from scratch
• Familiarity with AI search, SEO, GEO, AEO, content intelligence, digital visibility, or performance marketing
• Ability to write basic scripts or work with lightweight code, SQL, APIs, or data workflows
• Experience selling or marketing to enterprise, mid-market, agencies, e-commerce, SaaS, or consumer brand teams
• Former founder, first growth hire, technical marketer, RevOps builder, or self-taught automation hacker strongly preferred

Benefits & Why Join

This is a chance to join a company building in a market that is changing in real time. AI search is rewriting how customers discover products, evaluate brands, and make decisions. Traditional SEO and marketing playbooks are being replaced by new systems, new data, and new growth channels.

The person in this role will have room to experiment, build, and create real leverage. You will not be boxed into a narrow marketing function. You will be expected to challenge assumptions, invent new motions, and use the best tools available to move faster than competitors.

This is the right opportunity for someone who wants to be close to the action, close to revenue, and close to the future of how companies grow.

Ideal Candidate Profile

The ideal candidate is a builder with taste, speed, and intensity.

They may have been a growth marketer, but they are not a traditional marketer. They may have worked in RevOps, but they are not a ticket-taker. They may have sales experience, but they are not just an SDR. They may not have had the title “GTM Engineer” before, but they have already been doing the work.

They are the person who:

• Finds tools before everyone else is talking about them
• Builds scrappy systems that outperform expensive agencies
• Uses AI daily and keeps pushing what it can do
• Thinks in workflows, funnels, signals, and experiments
• Can go from idea to live test in hours, not weeks
• Gets bored by maintenance work and energized by unsolved problems
• Wants to help define a new category, not inherit an old playbook

This is a role for someone who wants to build the machine, not just run it.