Lead GTM Engineer

Job Description

We're hiring a

Lead GTM Engineer

to

run

our multi-channel outbound motion—hands-on in the stack.

Summary

• Flexible Title: Can tailor to reflect your skills & experience.
• Flexible Time: Can do full-time, part-time, side-gig (off-hours), or fractional (contract).
• Flexible Commitment: Can do short-term, long-term, or intermittent.

Why so flexible?

We're a FUNDED startup racing to launch end of Q2 2026. That gives us just 3 months to stack features while raising additional working capital. Feel free to jump in, help us ship, then bounce >> or stick around. A successful launch translates into lots of permanent jobs for those that want them. We're also interested in long-term "side gig" relationships, if that's what you're into—in our experience, a few expert hours often beat full-time learning-curve hours.

About Us

We're a credible, funded, remote-first startup led by a serial technical founder, backed by a 20-person team. The product is live in private alpha. Learn more at

list-lab.org

.

About The Role

We have a

large, multi-industry audience

,

proven channels

, and a

defined strategy

—this phase is

execution, automation, and scale

. We're hiring someone to

run the engine

.

You

own

outbound across

email, social, and community

as

one scalable system

.

AI is core

—automation, messaging, optimization. You

build, launch, and iterate

in the tools; you own execution decisions and how performance improves.

Architect-level support

is available if you need it—you're

trusted to lead

, move fast, and not wait on every spec.

High execution, high ownership

, with room to grow into

broader leadership

. If you want

end-to-end outcomes

and to show

executional and strategic

range—

this is it

.

You'll answer:

How do we technically execute this funnel? How do we automate, track, and scale it? How do we connect data, tools, and workflows into one system that actually runs?

Possible Tech Stack:

Apollo, Clay, Smartlead, Instantly, Lemlist, PhantomBuster, Dripify, Drippi.ai, Warmy.io, GoHighLevel, SendGrid, Zapier, Make, n8n, HubSpot (or Pipedrive), and AI tools for personalization and automation. You won't just use our stack—you'll help define what the "best" options are for our use case.

Compensation

Up to

$275,000

max total annual compensation in Tier 1 cities; cash and equity components to be negotiated (amount reflects combined cash and equity components).

What Success Looks Like In 30 Days

• Multi-channel pipeline live — email, LinkedIn, plus one other (Facebook, social DMs, or community)
• Stack connected: CRM, outreach tools, enrichment, analytics in a unified workflow
• Domain health and deliverability under control; sequences running with reporting on opens, replies, meetings booked
• Dashboards in place; early experiments producing data

What Success Looks Like In 60 Days

• Playbooks executed and documented; others can run the systems
• Bottlenecks identified and addressed; iterating fast on data
• At least one channel producing qualified leads with clear handoff

What You'll Do

• Build and connect the stack — CRM, outreach, enrichment, automation (see Possible Tech Stack above); move leads from first touch to qualified handoff
• Implement tracking — UTMs, attribution, pipelines, dashboards; measure by channel, spot bottlenecks
• Own deliverability — domain warmup, email infrastructure, list hygiene, sequence iteration
• Run LinkedIn, Facebook, and X automation — configure tools, avoid platform violations, vary copy and cadence with AI
• Run experiments and document playbooks — A/B sequences and landing pages; iterate on data; surface what works and what's breaking

Must-haves

What We're Looking For

• Hands-on execution — you build and run; not strategy-only or deck-only
• Technical proficiency with the GTM stack — you've shipped with these or similar tools
• Multi-channel outbound experience — email, LinkedIn, or social DMs at scale
• Pipeline thinking — you see the whole flow and connect the pieces
• Proven AI expertise in outbound — production track record applying AI to personalization, automation, agents, or copy at scale. Baseline for the role: you're expected to operate this way from day one—not learn it on the job.
• Fast iteration — hypothesis → experiment → data → decision, in days not weeks

Nice-to-have

• Appetite to own more of the motion over time and ship without a spec for every move (not required day one)
• Experience collaborating with GTM operators, SDRs, or vendors
• Venture-backed startup experience

What You're NOT

• Not a delegator — day one you're doing the work yourself; you may add support over time, but this isn't a management role. If you'd rather delegate than build, this isn't the right fit.