The GTM Engineering Company is a specialized consultancy that builds custom go-to-market infrastructure for venture-backed and growth-stage B2B companies, focusing on clean CRM data and scalable outbound engines.
The GTM Engineering Company positions itself as a fractional "GTM engineer" for B2B companies that need enterprise-grade go-to-market infrastructure without hiring a full RevOps team. Founded by Jorge Macias, a Y Combinator S18 alum who helped scale a company from zero to $3 million in ARR, the consultancy focuses on building custom, automation-first systems inside clients' CRMs. Rather than offering one-size-fits-all lead generation, they deliver a blend of RevOps strategy, data engineering, and outbound execution tailored to each client's tech stack.
The firm's core value proposition lies in its ability to clean up messy CRM data and then layer on evergreen enrichment, AI-driven prospect scoring, and signal-based outbound workflows. They start with a 30-day audit to diagnose data hygiene issues, fix broken contact-to-account linkages, and establish a clean foundation. From there, they build "golden enrichment tables" that automatically keep CRM records current with firmographic, technographic, and engagement data. This approach ensures that outbound efforts are based on reliable, high-quality data rather than stale lists.
What sets The GTM Engineering Company apart is its emphasis on signal-based prospecting. Instead of spray-and-pray sequences, they turn buying triggers like job changes, funding rounds, engagement spikes, and hiring patterns into automated micro-campaigns. They also offer attribution modeling that separates marketing-sourced, sales-sourced, and influenced outcomes, giving teams credible data on what drives pipeline. For product-led companies, they operationalize usage data as a sales trigger inside the CRM, bridging the gap between product engagement and sales outreach.
Pricing is transparent and retainer-based, with two primary tiers: a Starter plan at $4,000 per month for early-stage startups and a Growth plan at $6,000 per month for scaling businesses. Both include ICP research, lead lists, Clay automation, and RevOps configuration, with the Growth plan adding campaign build-out and bi-weekly reporting. Enterprise clients can opt for a custom plan that includes a full-time staffed GTM engineer, complex workflow design, and dedicated account management. This structure makes the service accessible to seed-stage companies while still offering depth for more mature organizations.
The GTM Engineering Company is best suited for venture-backed B2B SaaS companies from seed to Series C, as well as founders and small teams that lack the resources to build an in-house RevOps function. The consultancy's hands-on approach -- weekly sessions, live table builds, real-time A/B testing, and metrics dashboards -- ensures that clients see quick wins within the first few weeks and a repeatable outbound engine by day 90. Early client feedback highlights the founder's deep knowledge and patience, though broader reviews on platforms like Clutch and G2 are still limited.
Overall, The GTM Engineering Company fills a specific niche for companies that need more than a lead list vendor but less than a full agency retainer. Its focus on data hygiene, automation, and signal-based outreach makes it a strong choice for growth-stage teams that want to build scalable, measurable outbound systems without the overhead of hiring a full RevOps team. If your CRM is a mess and your outbound relies on manual research, this consultancy offers a structured path to cleaner data and more efficient pipeline generation.
Services
- CRM audits and data cleanup
- Evergreen enrichment infrastructure
- AI-driven prospect scoring
- Signal-based outbound workflows
- Attribution modeling
- PLG scoring and product-usage signals
- ICP research
- Lead lists
- Clay automation
- RevOps setup
Industries Served
Team Size
Client Review Analysis
'One client review: "We''re working with Jorge Macias now and he''s awesome!!! He''s very knowledgeable and provides in depth examples and is also super patient." - Amit Arora, Revenue Operations Manager, WebAi'