Mento - GTM Engineer

• 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. • Clean, unify, and orchestrate our data. • 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. • Build dynamic target lists. • Automate prospecting and outreach. Design workflows that activate on buying signals, segment prospects into the right sequences, and adapt based on engagement. • Automate prospecting and outreach. • 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. • Route high-value actions to humans. • 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. • Partner across sales and marketing. • Systems thinker. You see growth problems as engineering challenges. When something breaks, you don't patch it. You redesign the flow. • Systems thinker. • 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. • Data quality obsessed. • 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. • AI-forward. • 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. • Fast shipper. • 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. • Creative and analytical. • How This Role Evolves • 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 1: Foundation. • 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 2: Engine. • 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. • Phase 3: Scale.