Why invest in GTM Engineer School?
Here’s why investing $2,500 as an operator or manager
Here’s why investing $2,500 as an operator or manager:
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1) 𝗛𝗼𝘂𝗿𝘀 𝘀𝗮𝘃𝗲𝗱 𝘄𝗲𝗲𝗸𝗹𝘆 → 𝗜𝗻𝗰𝗿𝗲𝗮𝘀𝗲𝗱 𝗿𝗲𝘃𝗲𝗻𝘂𝗲 𝗽𝗲𝗿 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲
- Most workflows built in class are designed to augment or scale manual processes.
- Think list building, account research, lead qualification, scoring, and content creation.
- We estimate these can saving operators at least 5–10 hours per week, per person.
- Considering a US RevOps manager gets on average $95,000/year, this means that for every $1 spent on the program you’re effectively saving between $4.75-9.48 in annual salary costs
→→→ Translating to a 375%-848% ROI in the first year.
But that's not all!
2) 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 → 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗲 𝗮𝗰𝗾𝘂𝗶𝘀𝗶𝘁𝗶𝗼𝗻, 𝗿𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗲𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁
- Students walk away with real workflows and prompts they can start applying right away to your company ops — not just theoretical principles and frameworks.
- Instead of relying on agencies or contractors to build these systems, your team builds the muscle internally — compounding value over time.
- Also, sponsoring professional development is one of the clearest ways to retain high-performing talent, and keep them engaged in their work.
- By supporting hands-on technical education and sponsoring AI tooling, you foster a culture that values experimentation, automation, and creative problem-solving across departments.
- Which turns into a modern culture that will help your employer branding.
3) 𝗖𝗿𝗼𝘀𝘀-𝘁𝗼𝗼𝗹 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 → 𝗠𝗼𝗿𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗲𝗱 𝘀𝘁𝗮𝗰𝗸 𝗮𝗻𝗱 𝗵𝗶𝗿𝗶𝗻𝗴 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀
- One of the biggest promises of GTM Engineering and the AI era is the ability to connect multiple SaaS together with APIs to enable differentiated, creative use cases.
- GTM Engineer School is the first course that teaches you both principles, tool-specific deep dives, and then how to connect them together.
- You'll learn to set up and connect Octave with Clay, Clay with lemlist, Octave with Cargo 🧱, and Octave with AirOps!
- Graduates will understand not just how standalone tools work, but how they compare, and what's best for each use case — without relying on external consultants.
- This empowers your team to make smarter and faster tooling decisions, but also hiring decisions if you're thinking of building a GTME team in-house (or hiring consultants!).
- This further builds internal capabilities, helping reduce wasted software spend and hiring mistakes.
If you’re serious about learning how to embrace AI in your GTM and inject it in your processes, team, and stack, grab your ticket below.
Get 30% off your GTME School ticket with my promo code below.
Hope to see you in class ;)