01 · Diagnose
I need to see what is actually ready.
Use the six-part GTM Readiness Diagnostic to identify the next operating constraint before you commit to a larger move.
Take the readiness diagnostic →

Fractional GTM engineering and agentic AI sales orchestration for lean revenue teams.
Best fit: Series A and Series B-backed companies after layoffs, without a VP of Sales, now hiring sales roles.
Dr. Joe Breider, DBA · 35 years of B2B sales leadership
Schedule Your GTM Diagnostic CallNot ready to book? Take the free GTM Readiness Diagnostic →Case Study Result
41% growth, two years running
A legacy family firm moved from revenue freefall to a measurable sales engine through GTM engineering and the Wisdom Stack.
Before
No repeatable sales process, pipeline discipline, or metrics to diagnose what was broken.
Installed
Structured pipeline management, defined sales stages, and leading indicators.
Result
41% year-over-year revenue growth for two consecutive years.
For Series A & B-Backed Companies
After the layoff, the pipeline still has to recover before you rebuild the team. There is no VP of Sales to design the motion, and your founders or remaining reps are drowning in research and enrichment instead of closing.
The Wisdom Stack engineers SDR-to-AE loops, signal-based prospecting, and unit-economics-first GTM for Series A and Series B-backed companies hiring sales roles without a VP of Sales.
Schedule Your GTM Diagnostic CallChoose Your Next Move
Start with the problem you need to solve now, then move through the path as the system becomes repeatable.
01 · Diagnose
Use the six-part GTM Readiness Diagnostic to identify the next operating constraint before you commit to a larger move.
Take the readiness diagnostic →02 · Install
Read the 90-day post-layoff playbook before hiring into a pipeline that is still broken.
Read the post-layoff playbook →03 · Operate
Explore the fractional model for weekly leadership across pipeline, hiring, instrumentation, and AI orchestration.
Explore fractional GTM engineering →The GTM Engineering Framework

Pillar 01
Deploying AI agents for research and intent detection so your team stays focused on closing, not data entry.

Pillar 02
Moving from revenue contraction to revenue expansion without added headcount, validating business pain and building the playbook before you scale your SDR team.

Pillar 03
Integrating doctoral research and 35 years of sales rigor to turn lagging metrics into leading indicators.
Case Study

The Challenge
A legacy business with declining revenue, no sales discipline, and a broken pipeline. Hope was the only strategy, and it was failing fast.

The Method
Dr. Joe joined the team and used his DBA research to rebuild the sales engine from the ground up, documenting the work in a published case study, The Role of a Sales Consulting Firm in a Business Turnaround.

The Result
Lagging metrics became leading indicators. A broken pipeline became a scalable revenue engine. The turnaround delivered hockey-stick results backed by real data.
Recent Insights · Published monthly
October 3, 2026 · 6 min read
An intent score tells you an account is researching. A buying signal tells you what changed, why it matters now, and what your team should do next. Treating the score as a strategy is how lean teams pay for noise.
Read the article →September 5, 2026 · 5 min read
An agency rents you meetings. When the retainer stops, the pipeline stops. A fractional GTM engineer builds the engine on your own stack — and it keeps running after the engagement ends.
Read the article →
The Newsletter
Field-tested GTM engineering insights for Series A and Series B-backed founders and sales operators. Doctoral rigor meets 35 years of sales practice, delivered to your inbox.
Subscribe on LinkedInFrequently Asked
GTM engineering is the discipline of designing, instrumenting, and optimizing a go-to-market system using agentic AI, structured pipeline management, and signal-based prospecting. It replaces hope-based selling and volume dial plays with measurable, repeatable revenue process.
Dr. Joe Breider holds a Doctorate in Business Administration from Golden Gate University and has 35 years of B2B sales leadership. His doctoral research focused on the role of sales consulting firms in business turnarounds. He now helps Series A and Series B-backed companies move from post-layoff uncertainty to a working sales motion through GTM engineering and agentic AI.
The Wisdom Stack is built for Series A and Series B-backed companies that have gone through layoffs, do not have a VP of Sales, and are now hiring sales roles. They are looking for a lean, signal-based, unit-economics-first GTM model rather than volume dial plays, using the CRM and sales tools they already own.
A fractional GTM engineer embeds with your team to install agentic AI for research and intent detection, define sales stages and leading indicators, and engineer SDR-to-AE loops. The goal is to expand revenue without rehiring, leveraging your existing HubSpot and Sales Navigator investment.