Decisions live in heads
ICP, routing, and prioritization logic remain tribal knowledge.
GTM Engineering Studio · Series B to pre-IPO
We build the revenue systems behind AI-native GTM teams.
We design the decision logic, build the operating system, and help you hire the team that owns it.
Trusted by world-class GTM teams
“Plenty of partners can build an agent. TRA understood our context well enough to build ones our sales team actually uses every day.”
Robert Jones
Head of GTM AI, Canva
The problem
Your stack has power. It has no judgment.
You bought the tools and have the data, but the decisions still live in someone’s head. The result is more automation, not more intelligence.
Workflows multiply
Every new automation adds surface area without making the system smarter.
Growth makes it fragile
The stack gets harder to operate precisely when the business needs leverage.
What we build
Revenue Decision Systems.
One system, three connected layers. Each layer is documented and versioned so the logic survives the tools and people who built it.
ContextYour GTM logic is written down, not remembered.
ICP definition · Persona mapping · Market segmentation · Account tiering
OrchestrationA control plane connects data to the right next action.
TAM construction · Enrichment · Scoring · Routing · Signal interpretation
ActivationWork happens only after the system decides it should.
Campaigns · Sequences · Agents · Alerts · Human in the loop
The full arc
We build it. Then we help you own it.
You end up with a working system and the people to grow it—not a dependency on another agency.
Build
We build the revenue system now, creating traction without waiting to hire.
Hire
We place the operator who will own it internally, sourced from people who proved it at scale.
Advise
We guide team shape and sequencing, then step back so the system compounds without us.
GTM Engineer · Growth Engineer · Data Engineer · Demand / Paid Expert
Build
We build the revenue system now, creating traction without waiting to hire.
Hire
We place the operator who will own it internally, sourced from people who proved it at scale.
Advise
We guide team shape and sequencing, then step back so the system compounds without us.
■GTM Engineer
■Growth Engineer
■Data Engineer
■Demand / Paid Expert
Testimonials
The systems show up in the work.
Six GTM leaders on the infrastructure, context, and operating systems they built with TRA.
CUSTOMER PROOF / 01
“TRA has been a great partner while scaling our GTM Engineering team. Consistently high-quality work, and they operate like an extension of the team.”
Dominic Wong
Head of Business Operations & Finance, Linear
1 / 6
What makes us different
Most Clay shops build tables. We build systems.
Clay is one layer in what we build, not the product. The value is the architecture around it.
Snowflake / BigQuery integration
- Typical agency
- No
- TRA
- Native capability
Complex Salesforce architecture
- Typical agency
- Risky
- TRA
- Architect-level
Document decision logic externally
- Typical agency
- No
- TRA
- Every engagement
Show all 8 comparisonsHide full comparison
- Build Clay tables
- Typical agency: Yes
TRA: Yes - Use Clay Audiences at scale
- Typical agency: Rarely
TRA: Core to every build - Bulk enrichment
- Typical agency: Sometimes
TRA: Default approach - Snowflake / BigQuery integration
- Typical agency: No
TRA: Native capability - Work with internal data teams
- Typical agency: No
TRA: Yes - Complex Salesforce architecture
- Typical agency: Risky
TRA: Architect-level - Document decision logic externally
- Typical agency: No
TRA: Every engagement - Human-in-the-loop design
- Typical agency: Afterthought
TRA: Built in from day one
GTM talent
Hiring or placing GTM engineers?
We represent the top 1% of go-to-market and growth engineers and place them into AI-native companies.
Start here
Ready to build the system behind your GTM team?
We take on a small number of builds at a time. If you need architecture—not another automation—let’s work through the system together.