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G2i

Founding GTM Leader

Reposted 7 Days Ago
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Remote
Hiring Remotely in United States
150K-150K Annually
Senior level
Remote
Hiring Remotely in United States
150K-150K Annually
Senior level
As a Founding GTM Leader, you will develop and lead strategic revenue efforts, engage with technical and enterprise teams, and close enterprise deals while shaping the go-to-market strategy.
The summary above was generated by AI
Founding GTM / Strategic Revenue Lead

Location: United States (Remote with Travel)
Comp: $150k base + $150k variable (OTE $300k) + meaningful upside
Reports to: Founders / Executive Team

About G2i

G2i works with AI labs and enterprises when agentic systems actually matter. We combine elite engineers, human data, and managed agentic teams with an emerging backend platform to help customers move from experimentation to real production impact.

This is not staffing.
This is not a dev shop.
This is not a polished SaaS motion.

We sell outcomes in messy, high-trust, technically deep environments — often while the offering itself is still being shaped.

The Role

We’re hiring a founding-level GTM leader to own and build our strategic revenue motion. This is a senior, hands-on role for someone who thrives in ambiguity, sells alongside engineers, and is comfortable shaping the offer while closing real enterprise deals.

If you’re looking for a traditional AE role with rigid ICPs, finished decks, or a single SKU — this is not it.

If you want founder-level impact without founder-level risk — keep reading.

Who You Are

You are a consultative, technical revenue operator who can credibly engage:

  • AI researchers and engineering leaders

  • Enterprise innovation teams

  • Procurement, security, and legal stakeholders

You are comfortable selling:

  • Managed services

  • Human-in-the-loop data workflows

  • Early-stage SaaS / platform products
    — often at the same time, within the same account.

You sell outcomes, not bodies or feature lists.

You thrive in 0→1 environments and enjoy shaping positioning, narratives, and go-to-market strategy as much as closing deals.

Ideal Backgrounds (We’re Flexible — But These Patterns Win)

We care far more about pattern match than logos, but the strongest candidates often come from one of these paths:

1. Enterprise / AI Consulting GTM (Top Fit)
  • Sold high-end engineering services, AI consulting, or ML platforms

  • Experience with $250k–$5M+ deal sizes

  • Familiar with procurement, security reviews, and legal redlines

  • Past companies might include: Palantir, Scale AI, Accenture / McKinsey Digital, Slalom, Turing, Toptal, or AI infra startups selling services + platform together

2. Former Engineering Leader Turned GTM
  • Engineering Manager / Director → Solutions Engineer → Sales / Partnerships

  • Founder who sold custom software or AI services

  • Deep technical credibility and loves whiteboarding workflows

  • Important: you genuinely want to do sales

3. Platform + Services Hybrid Seller
  • Early GTM at infra, dev tools, or backend platforms

  • Experience landing with services and expanding into product

  • Comfortable demoing APIs, workflows, and evolving product surfaces

Hard Requirements (Non-Negotiable)
  • 🇺🇸 US-based

  • Personally closed enterprise or upper-mid-market deals

  • Proven ability to sell ambiguous or evolving offerings

  • Comfortable traveling to build and close strategic relationships

  • Strong technical fluency:

    • Agentic workflows

    • APIs

    • Backend architecture
      (You don’t need to code daily — but you can’t be hand-wavy.)

  • Direct experience navigating:

    • Procurement

    • Security reviews

    • Legal redlines

  • Ability to juggle multiple offerings without confusion or defensiveness

Clear Red Flags
  • “I only sell product, not services”

  • “I need a perfectly defined ICP before I can sell”

  • “Engineering handles the technical stuff”

  • Heavy reliance on SDRs or inbound-only motion

  • Staffing-only background without true enterprise depth

What Success Looks LikeFirst 90 Days
  • Close or strongly advance 2–4 strategic accounts

  • Sharpen positioning across:

    • Human data

    • Managed agentic teams

    • Agentic backend platform

  • Build repeatable narratives for:

    • AI labs

    • Enterprise innovation teams

  • Partner tightly with engineering on demos and pilots

180 Days
  • $1–3M qualified pipeline with real probability

  • At least one flagship logo (AI lab or enterprise)

  • Clear signal on which offering leads and which expands

  • Direct influence on product roadmap via customer insight

12 Months
  • $3–6M+ revenue influenced or closed

  • G2i known as:

    “The team you bring in when agentic systems actually matter”

  • Ready to:

    • Build a small GTM pod (AE + SE), or

    • Step into a broader VP Revenue mandate

Compensation & Upside
  • $150k base

  • $150k variable (OTE $300k)

  • Accelerators for over-performance

  • Meaningful long-term upside tied to platform and services growth

  • Potential equity or profit participation for the right hire

How We’ll Pitch This Role (And How You Should Read It)

“This is not a polished SaaS sales role. You will help define the product, sell alongside engineers, and shape how AI labs and enterprises actually build agentic systems.”

If that excites you — you’re likely the right kind of person.

Top Skills

Agentic Workflows
APIs
Backend Architecture

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