GO-TO-MARKET ENGINEERING
Your data, AI, and revenue tools.
Finally working as one.
Built by a GTM engineer who turns strategy into pipeline.
Data, AI, and automation—designed to work together.
Identify the buyer. Enrich the account. Route to sales.
TOOLS I BUILD WITH.
CONNECTED EXPERTISE.
WHY WE EXIST
Better foundations. Better outcomes.A system of record
you can actually rely on.
Before you add AI or another automation, your accounts, contacts, leads, and opportunities need to tell one consistent story. We rebuild the data model and connect your systems so your CRM can become a dependable source of truth.
You can finally trust your pipeline reports, follow a lead from day zero to closed/won, and give AI the context it needs to do useful work.
Start with the foundationB2B revenue leaders / Growth & PE-backed companies / RevOps teams / Founder-led businesses
THE PIPELINE GTM SYSTEM
Your stack. Working together.Clay cleans and connects the data. Claude helps decide what matters. Your CRM and sequencers put the next move in motion.
Job changes, intent, hiring, funding, tech changes, and M&A.
Discover, enrich, verify, and normalize. Clean data comes first.
Agents assess relevance and draft a next move for rep approval.
CRM routing, lead scoring, outreach, and daily seller prompts.
Time returned. Faster action. Clear attribution. Pipeline created.
Connected to the tools you already run
WHAT WE DO
How we workFrom the first assessment to an operating revenue engine, enter where you need us.
Get a clear diagnosis, a practical roadmap, and a first project tied to a business metric.
Rebuild your CRM data model, connect live sources, and trace the full lead-to-revenue journey. Give your revenue team pipeline reports they can trust and a foundation ready for AI.
Turn repetitive tasks and scattered signals into useful workflows, with your team in control of the important decisions.
Help your team understand, use, and eventually own the systems you’re investing in.
Connect the right audience, message, and channel with the infrastructure to support the work.
HOW WE WORK
A clear path. A decision at every stage.You can start or stop at any gate. Prove the value of one project before committing to a longer engagement.
“90% of the companies I’ve worked with needed to implement a completely new data model before it could serve as the system of record.”
Jack Hynes · GTM engineering experience
THE FIRST THING WE GET RIGHT
We assess the data model before building on top of it. When it needs to change, we implement the new model before adding automations or agents.
Know what’s underneath.
Review the data model, CRM, reporting, and buyer journey. Define your ICP and TAM, audit the sources, and identify where the record breaks down.
A foundation plan, a prioritized roadmap, and a first project tied to an agreed success metric.
Make the foundation work.
Implement the data model, connect your sources, and establish attribution. Then put one named automation or agent into production and measure its impact.
A reliable system of record and a working use case, measured against the outcome agreed to in Assess.
Build on what’s now possible.
Add industry signals, custom HubSpot or Salesforce automations, and personalized outreach. Extend across teams with training, managed infrastructure, and quarterly reviews.
A capable team, connected workflows, and a system that can support the next wave of growth.
EXPERIENCE IN PRACTICE
Built and operated at Glytec & MintLeadsSix-plus years building GTM systems for B2B enterprise SaaS and services teams. Here’s what that work made possible.
Glytec
Enterprise healthcare SaaS · $100K–$3M ACV
FROM ZERO TO A WORKING OUTBOUND ENGINE
Built AiSDR from the ground up: an autonomous outbound engine for hospital systems that handles prospect list building, enrichment, copywriting, and multichannel campaign launches.
A Slack interface lets the entire revenue team make requests in plain language. A workflow that took reps 60 minutes could be completed in under five, with human approvals and copy quality checks built in.
Finance-approved, qualified pipeline
generated in six months
List building to multichannel campaign launch
Account dossiers combine CMS, Becker’s, U.S. News, LinkedIn, Leapfrog, hospital newsrooms, and leadership triggers. Signals are ranked against each persona’s pain points to make outreach timely and relevant.
Live first- and third-party pipelines feed a Supabase warehouse. Account coverage maps and iterative gap analysis improve TAM coverage and reduce dependence on ZoomInfo and Apollo.
QA agents score copy against guardrails. Sending-account data informs deliverability. An AI reply desk classifies replies, drafts responses, and gives reps account context and a send action in Slack.
Segment, persona, and messaging performance inform future campaign tests. Rep edits help refine reply drafts. Salesforce remains the system of record, with nightly pipeline attribution and leadership reporting.
MintLeads #81 Inc. 5000
B2B SaaS & services · 120+ clients
As the first employee, built the go-to-market systems, processes, and team infrastructure that supported growth from pre-product to $4M ARR and a team of 40+.
Connected Clay, APIs, CRMs, and sales engagement tools into a unified revenue system, with automated enrichment, scoring, routing, and repeatable outbound playbooks.
300%+ improvement in conversionsFrom AI-powered workflows, intent-based outreach, and continuous messaging experiments.
MEET YOUR GTM ENGINEER
Jack Hynes · Pipeline GTM
GTM Engineer · Pipeline GTM
I’m Jack. I build the infrastructure that turns your sales and marketing vision into pipeline.
For more than six years, I’ve worked with B2B enterprise SaaS and services teams to connect data, AI, and automation to the work that drives growth. I’m hands-on from the first data model to the workflows your revenue team uses every day.
Built AiSDR from zero: a Slack-native outbound engine connecting research, enrichment, personalized messaging, multichannel launches, and Salesforce attribution. The program generated $16M in finance-approved, qualified pipeline in six months.
As the first employee, built the systems and team infrastructure that supported growth from pre-product to $4M ARR. Scaled the internal engine to 20+ qualified demos a day and eliminated $50K in monthly operating costs through automation.
YOUR NEXT MOVE
Start with a conversation.
Leave with a direction.
Talk to me about your systems, your revenue goals, and what’s getting in the way.
Talk to Jack on LinkedInConnect directly with Jack to discuss your GTM.