AI-Native GTM Engineering

Revenue infrastructure,engineered with AI to compound upside

Embedded GTM engineering service by YC founders and former sales leaders — designing and shipping the enrichment, campaigns, and CRM automation that turn manual busywork into predictable pipeline for revenue growth that compounds.

Trusted by teams at
Y Combinatora16z

The problem

Revenue teams are drowning in manual work

Most companies know they need better GTM systems. What they get is another consultant with slides — not an engineer who builds and ships.

Sound familiar?

  • Prospecting runs on bad data and weak conversion

    Low reply and meeting rates, stale or inaccurate contact data, and custom segments or GTM plays you can't launch because the data or infrastructure isn't there.

  • Growth stalls and nobody can explain why

    Missed targets, unpredictable sales cycles, rising CAC, and deals lost to competitors on timing — not product.

  • Nobody trusts the number

    Forecasts shift depending who you ask, pipeline questions require someone to pull a report, and decisions run on gut instead of data.

  • The CRM is a mess, and no one owns fixing it

    Reps don't use it consistently, contact data is stale or wrong, and someone burns 20+ hours a week on manual reporting.

  • Sales, marketing, and ops pull in different directions

    Teams clash over lead quality and timing, multiple people informally own "ops," and disconnected tools break handoffs.

  • Manual work replaces selling

    Reps log activity, enrich accounts, and prep outreach by hand — work that should run as automated systems.

What we do

Full-stack GTM engineering, not slide decks

We embed alongside your revenue, sales, and marketing teams — building the systems that eliminate manual work and compound pipeline.

Works inside your stack

SalesforceHubSpotClayGongOutreachSlackn8nClaude / GPT

The pipeline mechanics we engineer

Signal
Enrich
Route
Engage
Close
  • GTM Systems & Automation Engineering

    Own and extend your GTM stack end to end — CRM architecture, Clay enrichment workflows, lead routing and scoring, API integrations, and the glue between Salesforce, HubSpot, Gong, Outreach, and Slack.

    • Signal-based account prioritization and rep routing
    • Multi-step enrichment pipelines and data hygiene automation
    • Custom code, webhooks, and n8n/Zapier workflows
  • Sales Operations

    Territory design, pipeline stages, forecast infrastructure, and seller workflows — built so reps know what to focus on each day and leadership trusts the number.

    • Stage exit criteria, pipeline hygiene, and forecast methodology
    • Quoting, approvals, and deal-document automation
    • Gong-to-CRM insights and opportunity prep workflows
  • Marketing Operations

    Inbound capture, MQL/SQL alignment, campaign attribution, and handoff SLAs — so marketing-generated demand reaches the right seller with context attached.

    • Form enrichment and ICP scoring at point of capture
    • Lead-to-account matching and routing logic
    • Campaign-to-pipeline attribution and reporting
  • RevOps Advisory & Fractional Leadership

    Embedded at the leadership table — quarterly planning, pipeline reviews, deal coaching, forecast pressure-testing, and RevOps charter development when you're building the function.

    • Operating cadence design and board-ready reporting
    • RevOps scorecards and hiring support for in-house hires
    • Strategy-to-systems translation across sales, marketing, and CS
  • AI-Native Workflows

    Deploy AI agents for prospect research, personalized outreach generation, account-plan automation, and discovery prep — reducing manual lift without adding another point tool.

    • AI research agents and account intelligence briefs
    • Automated stakeholder mapping and opportunity prep
    • Prompt logic and enrichment inside Clay and CRM workflows

How we work

Diagnose → Design → Build → Operate & Transfer

A disciplined operating model that turns broken GTM motion into systems your team owns — not a permanent dependency on us.

  1. Diagnose

    Map your current GTM stack, pipeline velocity, conversion constraints, and where manual work is leaking revenue. We identify the highest-impact fixes before writing a line of code.

  2. Design

    Architect the systems — CRM objects and flows, enrichment logic, routing rules, automation layers, and AI workflows — aligned to how your team actually sells.

  3. Build

    Ship it. We write the integrations, configure Clay tables, deploy automations, and wire everything into seller workflows — inside Slack, CRM, and sequencing tools.

  4. Operate & Transfer

    Run the systems through a full cycle, document everything, and hand off to your team. The engagement ends when you operate independently — not when the contract renews.

Engagement shapes

  • Embedded team

    We work inside your Slack, standups, and pipeline reviews — like a GTM engineer on your payroll.

  • Fractional leadership

    RevOps leadership at the exec table without full-time CRO overhead — goals, reviews, forecast, and coaching.

  • Project sprint

    A scoped build — CRM migration, Clay rollout, routing overhaul, or AI workflow deployment — delivered in weeks.

Who it's for

Teams that need systems, not another advisor

If your revenue motion is held together by spreadsheets and heroics, you're our ICP.

Common starting points

Post-raise startups

Founder-led sales is maxed out. You need pipeline systems before your first RevOps hire — or while you're recruiting one.

One overloaded RevOps generalist

Your RevOps person does CRM admin, reporting, enablement, and firefighting. They need an engineering partner, not another tool.

Pre-GTM-engineer hire

You're about to post a GTM Engineer role. We build the infrastructure now so your hire ships on day one, not month six.

Scaling outbound motion

Outbound is a volume game because systems aren't built. Signal-based targeting, enrichment, and sequencing should run as one engine.

Post-CRM migration

You moved to Salesforce or HubSpot but the workflows, routing, and reporting still reflect the old stack.

AI stack, no ROI proof

You've bought Clay, Gong Engage, and AI tools — but nobody can show what they returned because the foundation wasn't ready.

Why Impossible Data

Advisors recommend. Engineers build.

Most RevOps engagements end with a strategy deck and a list of tools to buy. We embed alongside your team, write the code, configure the automations, and transfer systems back when you're ready to run them in-house.

  • Hands-on build — CRM flows, Clay tables, API integrations, AI agents — not recommendations
  • Embedded in your workflows — Slack, standups, pipeline reviews, not a quarterly check-in
  • Systems transfer — documented playbooks and ownership handoff, not permanent dependency

Typical RevOps consultant

Strategy decks · tool recommendations · quarterly reviews · hands-off · you still do the build

Impossible Data

Embedded engineering · ships in your stack · automations live in week one · systems documented and transferred · measured in pipeline and rep time saved

FAQ

Common questions

  • No — we accelerate you until you're ready to hire. We embed now, build the infrastructure, and transfer systems when you bring someone in-house. Many clients use us to de-risk the first GTM engineer hire by having systems ready on day one.

Ready to build your revenue engine?

Book a 30-minute call. We'll map your current GTM stack, identify where manual work is leaking pipeline, and show you what embedded GTM engineering looks like for your team.

Book a call