GTM Engineer

Mento is a performance coaching platform on a mission to increase human potential at a global scale and make people—and companies—more successful. We believe coaching is among the most effective tools to unlock transformational growth and continuous improvement. And, we believe the future of coaching is human+ai.

We're on track to double revenue this year, and we're doing it with a client roster that includes some of the most recognizable names in tech. When the fastest-growing companies in the US need to develop their leaders, they choose Mento. We've found the fit. Now we're building the engine to scale it.

We are a remote-first company based in the US. Our team is highly ambitious, motivated, and believes we have the potential to make a real impact. We also like to have fun :)

We're hiring our first GTM Engineer to build Mento's revenue engine from the ground up.

We've built strong relationships with leaders at companies like Vercel, Airbnb, Brex, 1Password, SoFi, and many others through executive dinners, events, and direct outreach. We have rich first-party data and real buying signals. What we don't have is the infrastructure to turn all of that into a scalable, automated revenue engine. That's your job.

• Own Mento's GTM tech stack. Design, build, and improve the systems that power our revenue engine: HubSpot, Clay, Apollo, Avoma, outreach automation, and AI agents.
• Clean, unify, and orchestrate our data. Consolidate contacts, interaction history, and engagement signals from multiple sources into a single, enriched, trustworthy data foundation. Build the orchestration layer that keeps data flowing between tools and powers every workflow downstream.
• Build dynamic target lists. Combine internal data with external signals (funding events, job changes, hiring patterns, content engagement) to identify and prioritize the right companies and buyers.
• Automate prospecting and outreach. Design workflows that activate on buying signals, segment prospects into the right sequences, and adapt based on engagement.
• Route high-value actions to humans. Not everything should be automated. Build the logic that surfaces the right leads to reps at the right moment for personal outreach.
• Partner across sales and marketing. Work with sales today and marketing as we grow. Build systems that both teams can run playbooks on, not siloed tools that only one team touches.

• Systems thinker. You see growth problems as engineering challenges. When something breaks, you don't patch it. You redesign the flow.
• Experienced builder. You've spent 3-5 years in GTM Ops, RevOps, or Growth Engineering at a B2B SaaS company. You're comfortable with HubSpot, Apollo, Clay, SQL, APIs, and webhooks. You've built things, not just maintained them.
• Data quality obsessed. You've cleaned CRMs, deduplicated records, and built enrichment pipelines. You have a point of view on how AI accelerates this work. You know automation on dirty data is worse than no automation, and you know how to fix the foundation fast.
• AI-forward. You've experimented with AI agents and agentic workflows, whether professionally or on your own time. You believe forward-looking GTM infrastructure needs to be designed for both people and agents to operate on. You don't need to have deployed agents at scale, but you have strong opinions about where this is headed.
• Fast shipper. You'd rather launch v1 on Monday and iterate all week than spend a month planning the perfect system. You're comfortable building from scratch and making decisions without a playbook.
• Creative and analytical. You can design a campaign and measure whether it worked. You're not just building plumbing. You care about what flows through it.

This role has three phases. We're honest about where we are and where we're going.

• Phase 1: Foundation. Our data is rich but scattered. You'll start by cleaning, consolidating, and enriching our CRM so it becomes a trustworthy growth asset. You'll build enrichment pipelines, define our ICP in data terms, and map every signal that matters.
• Phase 2: Engine. With clean data in place, you'll build the automated workflows that power modern GTM: dynamic target lists, segmented sequences, intent-based routing, and the infrastructure for AI agents (autonomous or human-in-the-loop) to run outbound and nurture plays at scale.
• Phase 3: Scale. Expand to more segments, connect marketing content to sequences, build attribution and reporting, and begin testing cold outbound with proven playbooks. The goal: a system designed for both people and agents that sales and marketing can run modern playbooks on in 2027 and beyond.

• Greenfield ownership. First person in this role. You design the architecture, pick the tools, and build from scratch.
• Direct impact on a growing company. The systems you build will directly drive revenue growth and impact professionals’ careers globally. 
• A seat at the table. You'll work directly with the co-CEO and the VP of Marketing. Your recommendations will shape hiring, tooling, and strategy.
• Competitive comp. $110K–$150K base depending on experience, plus equity in a company hitting significant enterprise milestones.