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GTM engineering: your pipeline system, built and handed to your team in three months

GTM engineering treats go-to-market as a system you build rather than a team you staff. We design that system around your ICP, build it across the data, signal and outreach layers, run the first campaigns alongside your team, and train them to own it.

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GTM engineering: your pipeline system, built and handed to your team in three months

GTM engineering treats go-to-market as a system you build rather than a team you staff. We design that system around your ICP, build it across the data, signal and outreach layers, run the first campaigns alongside your team, and train them to own it.

The Economics

The economics moved before the job titles did.

The category is young enough to be worth treating carefully. Clay coined the term, funds the main newsletter and certifies the agencies, so a good deal of what is written about GTM engineering is written by people selling GTM engineering. We have published our own read of the research, including the figures that conflict and the vendor claims we would not repeat.

$127,500

$127,500

Median GTM engineer salary, per Apollo’s hiring data. Clay’s own figure is $160,000.

Median GTM engineer salary, per Apollo’s hiring data. Clay’s own figure is $160,000.

3,000+

3,000+

Open GTM engineer roles on LinkedIn in January 2026, up 205% year on year.

Open GTM engineer roles on LinkedIn in January 2026, up 205% year on year.

$3.1bn

Clay’s valuation at its $100 million Series C in August 2025, led by CapitalG.

$3.1bn

Clay’s valuation at its $100 million Series C in August 2025, led by CapitalG.

$3.1bn

Clay’s valuation at its $100 million Series C in August 2025, led by CapitalG.

$1,500

$1,500

Monthly cost of a working stack at startup scale. Enterprise rises up to $200,000 a year.

Monthly cost of a working stack at startup scale. Enterprise rises up to $200,000 p/y.

Monthly cost of a working stack at startup scale. Enterprise rises up to $200,000 a year.

What gets built

What actually gets built

Five phases to our engagement over three months

The order is not negotiable, because each phase inherits the errors of the one before it. A signal engine built on a list nobody validated will industrialise the wrong accounts, faster than a human ever could.

01

ICP and offer

We define who you sell to precisely enough to automate against it: firmographics, the technologies they run, the roles that sign, and the events that tell you a company has moved closer to buying. We pressure-test that definition against your closed-won and closed-lost deals rather than against a positioning document, because the system can only find more accounts resembling the ones you tell it to look for.

You Get:

A written ICP with the attributes the system will filter on, and the offer the outreach will carry.

02

Data foundation

We build the account and contact layer, sourcing lists from the providers that actually cover your geography, then running waterfall enrichment so each provider only fires when the previous one missed. A single provider returns 30 to 60% of contacts, whereas a waterfall across a dozen pushes that to 80 to 93%, and every layer above inherits the difference.

You Get:

A live, deduplicated account list with verified contacts, wired into your CRM.

03

Signals and routing

We wire up the evidence that an account has moved: funding rounds, relevant hires, technology changes, job changes among your past champions, and behaviour on your own site. Each signal gets a filter against the ICP, a score, and a rule for who it goes to and how fast, because a funding announcement at a company that would never buy from you is news rather than a signal.

You Get:

Scored, routed signal feeds with the logic documented in plain language.

04

Outreach and activation

We build the sequences those signals trigger across email and LinkedIn, including the sending infrastructure most teams get wrong: secondary domains, authenticated mailboxes, warm-up periods and volume limits per mailbox. Google and Yahoo throttle senders whose spam complaint rate passes 0.3%, so deliverability is engineered before volume rather than repaired after it.

You Get:

Live campaigns running, sent from infrastructure built to stay in the inbox.

05

Measurement and handover

We instrument stage-to-stage conversion so you can see whether the gap sits at the top of the funnel or leaks in the middle, attribute results by workflow so you know which plays to kill, and hand the system over through a structured programme rather than a documentation dump.

You Get:

Reporting your team reads weekly, and a team that has already run the system before we leave.

What differentiates us

We build it with your team, not next to them

A revenue system nobody on your team can modify degrades in weeks. Webhooks fail silently, providers deprecate endpoints, a sequence starts double-sending, a CRM field stops syncing; none of it announces itself, and all of it is invisible to whoever inherits a system they only watched being built. So we do not build it from the outside.

Embedded in your workflow

We work inside your Slack and join your standups for the three months, so decisions get made where your team already makes them.

Every decision gets made and logged where your team already works, not buried in a deck from a call three weeks ago.

Live working sessions

Your RevOps or growth owner builds alongside us through each phase rather than receiving a finished system at the end of it.

Changes get made live, in front of the person who inherits the system, so nothing ships that they have not already seen work.

Walkthroughs throughout

Every workflow gets a recorded walkthrough as it is built, so the reasoning is captured while it is fresh rather than reconstructed months later.

Each recording explains why the workflow is built that way, so a new hire can watch it in month six and still follow the logic.

Structured handover

The engagement closes with a training programme and a final session that tests understanding rather than assuming it.

The closing session tests your team on running and modifying the system themselves, before we leave rather than after something breaks.

What gets built

What actually gets built

Six layers, wired as one system

These are six functions, not six purchases. Most wasted spend in this category comes from two subscriptions covering the same function without anyone noticing, so we price the layer rather than the tool.

Layer 01

Data and list building

Which companies and people exist that could buy from you. Everything downstream inherits this layer’s errors, so a cheap list with 40% bad addresses does not save money; it moves the cost to your sending reputation.

Tools we build with:

Layer 04

Orchestration

The workbench where signals, data and enrichment meet, and where the logic lives that decides what happens to an account.

Tools we build with:

Layer 02

Signal capture

Evidence that an account has moved closer to buying, taken from paid feeds and from free public sources such as Companies House filings, SEC EDGAR, trademark registers and certificate transparency logs.

Tools we build with:

Layer 05

Execution

The sequences that go out across email and LinkedIn, and the sending infrastructure that keeps them in the inbox rather than the spam folder.

Tools we build with:

Layer 03

Enrichment and verification

Turning an interesting company into a record you can act on, through waterfall enrichment across providers and verification before anything sends.


Turning an interesting company into a record you can act on, through waterfall enrichment across providers and verification before anything sends.

Tools we build with:

Layer 06

Glue and system of record

Moving data between tools when something happens, and landing it somewhere you can measure. A signal engine nobody logs cannot be improved.

Tools we build with:

Layer 01

Data and list building

Which companies and people exist that could buy from you. Everything downstream inherits this layer’s errors, so a cheap list with 40% bad addresses does not save money; it moves the cost to your sending reputation.

Tools we build with:

Layer 03

Enrichment and verification

Turning an interesting company into a record you can act on, through waterfall enrichment across providers and verification before anything sends.

Tools we build with:

Layer 05

Execution

The sequences that go out across email and LinkedIn, and the sending infrastructure that keeps them in the inbox rather than the spam folder.

Tools we build with:

Layer 02

Signal capture

Evidence that an account has moved closer to buying, taken from paid feeds and from free public sources such as Companies House filings, SEC EDGAR, trademark registers and certificate transparency logs.

Tools we build with:

Layer 04

Orchestration

The workbench where signals, data and enrichment meet, and where the logic lives that decides what happens to an account.

Tools we build with:

Layer 06

Glue and system of record

Moving data between tools when something happens, and landing it somewhere you can measure. A signal engine nobody logs cannot be improved.

Tools we build with:

Layer 01

Data and list building

Which companies and people exist that could buy from you. Everything downstream inherits this layer’s errors, so a cheap list with 40% bad addresses does not save money; it moves the cost to your sending reputation.

Tools we build with:

Layer 02

Signal capture

Evidence that an account has moved closer to buying, taken from paid feeds and from free public sources such as Companies House filings, SEC EDGAR, trademark registers and certificate transparency logs.

Tools we build with:

Layer 03

Enrichment and verification

Turning an interesting company into a record you can act on, through waterfall enrichment across providers and verification before anything sends.


Tools we build with:

Layer 04

Orchestration

The workbench where signals, data and enrichment meet, and where the logic lives that decides what happens to an account.

Tools we build with:

Layer 05

Execution

The sequences that go out across email and LinkedIn, and the sending infrastructure that keeps them in the inbox rather than the spam folder.

Tools we build with:

Layer 06

Glue and system of record

Moving data between tools when something happens, and landing it somewhere you can measure. A signal engine nobody logs cannot be improved.

Tools we build with:

The alternative

What this replaces

Hiring a GTM engineer

This engagement

Cost in year one

Cost in year one

$127,500 to $160,000 in salary, plus tooling and recruitment

$127,500 to $160,000 in salary, plus tooling and recruitment

$25,000 fixed cost covering three months, then an optional retainer

$25,000 fixed cost covering three months, then an optional retainer

Time to GTM engine starting

Time to GTM engine starting

A search, a notice period and a ramp before anything ships

A search, a notice period and a ramp before anything ships

Phase 01 starts in week one

Phase 01 starts in week one

Experience available

Experience available

The typical ask is three to five years, and true junior roles barely exist

The typical ask is three to five years, and true junior roles barely exist

A team that has built the same six layers before

A team that has built the same six layers before

Concentration risk

Concentration risk

One person holds the whole system, and they can leave

One person holds the whole system, and they can leave

Your team is trained to run it, and the documentation stays with you

Your team is trained to run it, and the documentation stays with you

What you are left with

What you are left with

Whatever that hire builds and remembers to write down

Whatever that hire builds and remembers to write down

A live system, a trained team, and a build order for the next plays

A live system, a trained team, and a build order for the next plays

Hiring is the right call in one situation, and it is worth naming. When a process already works manually and the constraint is hours, a full-time engineer pays for itself: founder-led outbound is getting replies, the ICP has survived contact with closed deals, and the team is losing days each week to list building and CRM admin. What a hire will not do is find product-market fit on your behalf.

The Research

We published the whole method

These are six functions, not six purchases. Most wasted spend in this category comes from two subscriptions covering the same function without anyone noticing, so we price the layer rather than the tool

What is GTM engineering?

GTM engineering treats go-to-market as a system you build, not a team you staff. What the discipline is, the economics driving it, and what survives the hype.

The GTM engineering tech stack

Six layers, five tools each, real pricing. What each does, what it costs, the drawback the vendor omits, and three stacks that work at different budgets.

Six layers, five tools each, real pricing. What each does, what it costs, the drawback the vendor omits, and three stacks that work at different budgets.

Read

The data layer

Every signal runs through an account list. How to build, enrich and maintain the data layer under a GTM engine, and what waterfall enrichment really costs.

Read

Signals and routing

Companies House SH01s, SEC Form Ds, certificate logs and trademark filings: the public-record buying signals most teams miss, and how to route them.

Read

Outreach and deliverability

How to write outreach off a trigger, sequence it across email, LinkedIn and Telegram, and stay under the 0.3% spam rate that gets senders filtered out.

Read

What a GTM engineer does

What a GTM engineer does day to day, how the role differs from a GTM manager, and when hiring one pays back. The data behind B2B's fastest-growing job title.

Read

GTM engineering case studies

Companies House SH01s, SEC Form Ds, certificate logs and trademark filings: the public-record buying signals most teams miss, and how to route them.

Read

Consultancy or in-house

How to write outreach off a trigger, sequence it across email, LinkedIn and Telegram, and stay under the 0.3% spam rate that gets senders filtered out.

Read

GTM engineer versus RevOps

What a GTM engineer does day to day, how the role differs from a GTM manager, and when hiring one pays back. The data behind B2B's fastest-growing job title.

Read

Frequently asked questions

01

What is GTM engineering?

GTM engineering treats go-to-market as a system you build rather than a team you staff. Instead of hiring another SDR each time you want more pipeline, you build workflows that watch the market for evidence of buying intent, research the accounts showing it, and draft outreach that references what they found; your people handle the conversations that come back. The shift happened because research stopped being expensive: the sequence that takes an SDR 10 to 15 minutes by hand now runs through APIs in seconds, for a few pence per account.

01

What is a go-to-market strategy for an AI business?

A go-to-market strategy is the full system for turning a product into revenue: positioning, ideal customer profile, pricing, distribution channels, partnerships, and the campaigns that drive adoption. For an AI business it also has to answer the questions buyers now ask by default: why you rather than an incumbent adding an AI feature, why a dedicated product rather than a general model, and how you prove outcomes rather than demos.

01

What is GTM engineering?

A go-to-market strategy is the full system for turning a product into revenue: positioning, ideal customer profile, pricing, distribution channels, partnerships, and the campaigns that drive adoption. For an AI business it also has to answer the questions buyers now ask by default: why you rather than an incumbent adding an AI feature, why a dedicated product rather than a general model, and how you prove outcomes rather than demos.

02

How much does GTM engineering cost?

The engagement is $25,000 fixed for three months, covering all five phases: ICP and offer, the data foundation, signals and routing, outreach and its sending infrastructure, and measurement and handover. Tooling sits outside the fee and is billed to you directly, running $300 to $1,500 a month at startup scale depending on your geography and volume. After handover, an optional retainer covers maintenance and new plays, priced on scope.

02

How much does GTM engineering cost?

Marketing is one channel within go-to-market, not a substitute for it. Marketing handles awareness and demand through content, social, PR, and paid media, whereas go-to-market is the wider system that sets who you sell to, how you are positioned, how you price, and which distribution and partnership motions actually reach buyers. Most AI startups buy marketing (content, paid ads, a launch push) before positioning and ICP are settled, so the spend produces impressions rather than pipeline.

03

Why is tooling billed separately rather than bundled into the fee?

Because you should own the accounts. Where an agency holds the subscriptions, your data, sequences and sending domains leave when the agency does, and you pay a margin on software you could buy directly. We also tell you which layers you can skip; most teams at startup scale need fewer tools than the category sells them.

04

Should we hire a GTM engineer instead?

Sometimes, and it is worth naming when. Hiring is the right call once a process already works manually and the constraint is hours: founder-led outbound is getting replies, the ICP has survived contact with closed deals, and the team is losing days each week to list building and CRM admin. What a hire will not do is find product-market fit on your behalf. On cost, Apollo's hiring data puts the median GTM engineer salary at $127,500 and Clay puts it at $160,000, before tooling and recruitment, and one person then holds the whole system and can leave with it.

05

What does our team need to commit?

One owner, usually in RevOps or growth, who builds alongside us through each phase rather than receiving a finished system at the end of it. We work inside your Slack and join your standups for the three months. A revenue system nobody on your team can modify degrades within weeks, because webhooks fail silently, providers deprecate endpoints and CRM fields stop syncing, and none of it announces itself to someone who only watched the system being built.

06

What happens after the three months?

You keep a live system, a trained team, and a recorded walkthrough of every workflow captured as it was built rather than reconstructed afterwards. The engagement closes with a training programme and a final session that tests understanding rather than assuming it. An optional retainer covers maintenance and new plays, priced on scope, because what a maintained system costs depends on how much of it you are running.

07

How is this different from an outbound or lead generation agency?

An agency runs the outbound for you and keeps the machinery. We build the machinery inside your business, run the first campaigns alongside your team, train them to own it, and then leave. The commercial incentive follows from the structure: an agency is paid to keep you dependent, whereas a fixed three-month build is paid to make you self-sufficient.

08

Why is the order of the five phases fixed?

Each phase inherits the errors of the one before it. A signal engine built on a list nobody validated will industrialise the wrong accounts faster than any human could, and a well-built stack running against a vague ICP produces waste faster than a spreadsheet does. That is why phase one is the ICP and the offer rather than the tooling.

09

What is waterfall enrichment, and why does it matter?

Waterfall enrichment runs data providers in sequence so each one fires only when the previous one missed. A single provider returns 30 to 60% of contacts, whereas a waterfall across a dozen pushes that to 80 to 93%, and every layer above the data foundation inherits the difference. A cheap list with 40% bad addresses does not save money; it moves the cost to your sending reputation.

10

How do you stop our outreach landing in spam?

Deliverability is engineered before volume rather than repaired after it: secondary sending domains, authenticated mailboxes, warm-up periods and volume limits per mailbox, all built during phase four rather than bolted on once reply rates fall. Google and Yahoo throttle senders whose spam complaint rate passes 0.3%, and a sending reputation takes far longer to rebuild than to protect.

11

What are the six layers you build?

Data and list building, signal capture, enrichment and verification, orchestration, execution, and the glue and system of record. These are six functions rather than six purchases; most wasted spend in this category comes from two subscriptions covering the same function without anyone noticing, so we price the layer rather than the tool.

12

What results should we expect?

Targets are scoped and agreed on signing, against your deal sizes and your sales cycle rather than a published average taken from a business unlike yours. We instrument stage-to-stage conversion so you can see whether the gap sits at the top of the funnel or leaks in the middle, and attribute results by workflow so you know which plays to kill.

1200

The best time to focus on revenue was on day one.
The second best time is now. 

Book a call today and we will tell you exactly what is holding your growth back. 

Bottom Row

Simplicity Group provides strategic consulting and advisory services only. Nothing on this website constitutes financial, investment, or legal advice, nor should it be construed as a solicitation or offer to buy or sell any digital asset or security. Digital assets involve significant risk, including the possible loss of principal. Past results do not guarantee future outcomes. Simplicity Group is not a registered investment advisor, broker-dealer, or financial institution. Consult a qualified professional before making any financial decisions.

Simplicity Group operates through Simplicity Blockchain Consultancy Ltd (United Kingdom) and Simplicity Consultancy FZ-LLC (RAKEZ, United Arab Emirates).


© 2026 Simplicity Group. All rights reserved.

1400

The best time to focus on revenue was on day one.
The second best time is now. 

Book a call today and we will tell you exactly what is holding your growth back. 

Bottom Row

Simplicity Group provides strategic consulting and advisory services only. Nothing on this website constitutes financial, investment, or legal advice, nor should it be construed as a solicitation or offer to buy or sell any digital asset or security. Digital assets involve significant risk, including the possible loss of principal. Past results do not guarantee future outcomes. Simplicity Group is not a registered investment advisor, broker-dealer, or financial institution. Consult a qualified professional before making any financial decisions.

Simplicity Group operates through Simplicity Blockchain Consultancy Ltd (United Kingdom) and Simplicity Consultancy FZ-LLC (RAKEZ, United Arab Emirates).


© 2026 Simplicity Group. All rights reserved.

500

The best time to focus on revenue was on day one.
The second best time is now. 

Book a call today and we will tell you exactly what is holding your growth back. 

Bottom Row

Simplicity Group provides strategic consulting and advisory services only. Nothing on this website constitutes financial, investment, or legal advice, nor should it be construed as a solicitation or offer to buy or sell any digital asset or security. Digital assets involve significant risk, including the possible loss of principal. Past results do not guarantee future outcomes. Simplicity Group is not a registered investment advisor, broker-dealer, or financial institution. Consult a qualified professional before making any financial decisions.

Simplicity Group operates through Simplicity Blockchain Consultancy Ltd (United Kingdom) and Simplicity Consultancy FZ-LLC (RAKEZ, United Arab Emirates).


© 2026 Simplicity Group. All rights reserved.