Listen now on
Spotify . YouTube . Apple Podcasts
Shantanu Shekhar is VP of RevOps at Personio, a 1,500-person HR and payroll company that hit profitability for the first time this year. He funded his GTM engineering team by not backfilling two BDR seats, then kept going until half the BDR headcount was gone.
Every RevOps leader has been asked to do more with a flat budget. This episode is what happens when you spend it on builders instead.
What you’ll learn
Why he traded two BDR heads for GTM engineers, and how he got a CRO and CXOs to sign off on math that looks backwards on paper
How cutting 50% of BDR headcount moved BDR productivity up 40% and ARR per AE up 22%
Why he hires RevOps and analytical profiles into GTM engineering roles instead of BDRs with a year of AI literacy
The third option he adds to every build versus buy debate, and the total cost of ownership questions that get you there
How an account research agent took two hours a day down to 15 minutes, and the reachability score that tracks net retention
Episode Highlights
02:00 - The day he proposed cutting two BDR heads
04:45 - Twelve ways to get pipeline, not one
05:12 - Why Clay's version of the title confuses people
05:51 - Flipping the GTM engineer hiring profile
06:18 - OKRs instead of a quota model
08:00 - Half the BDRs, 40% more productivity
10:10 - The metric he uses for AE productivity
15:41 - Eighty percent of marketing leads through an agent
17:49 - Account grades, intent scores, and the flame metric
18:44 - Removing the human SDR without losing conversion
19:22 - The agent that flopped, and why
24:11 - When do you build your own CRM
28:45 - Post-sales, and reachability as a retention signal
30:25 - A live example of account management leaving money on the table
34:11 - Should the AE own the account after the close
38:13 - The future of the BDR role
Key Takeaways
1. Two BDR heads bought a build team
He proposed leaving two open BDR roles unfilled and funding go-to-market engineers instead. On unit cost the trade looks wrong: a BDR runs around 60K, a GTM engineer north of 120K. The bet was that builders compound and headcount does not.
2. Hire the analytical profile, not the junior seller
He staffs GTM engineering out of RevOps rather than promoting BDRs into it, because building for scale rewards knowing how data moves and what breaks downstream. Their targets sit in OKRs, set well above what the BDR seats carried.
3. The third option in build versus buy is do nothing yet
"I would like to add a third option in that build versus buy debate. The third option, which is do nothing yet."
The test is total cost of ownership: who maintains it, what it breaks, what it does to revenue rather than hours saved.
4. Agents earn back selling time, and that is the number to watch
Account research went from two hours a day to fifteen minutes of reading agent-written briefs. On the inbound side, 80% of marketing leads now route through a video agent and conversion held steady after the human step came out.
5. Post-sales is where the clearest wins are hiding
Customer reachability, the share of customer emails answered within 48 hours, tracked cleanly against net retention and NPS. A Slack agent now surfaces any email sitting unanswered for a day.
6. An agent shipped without enablement is an agent nobody uses
Their handover automation pulled context from Gong and the CRM and still flopped. They built it and threw it over the fence with no enablement and no early users inside the build. His closing bet on where RevOps leaders end up is in the episode.
If you're enjoying these episodes, reply and let me know what you'd love to learn more about: GTM engineering, account scoring, post-sales agents, build versus buy, anything.
Catch you next week,
Jared
P.S. Shantanu just launched Shandalf, a RevOps consulting and staffing agency for Europe. Also, always growing our RevGenius community; you can join here to follow along.
Upcoming events
Your Pipeline Runs on Something You Can’t Forecast
(Tuesday, 15th September | 11 AM EST | 8 AM PT)
Predictable revenue comes down to rep execution, the part no dashboard shows you.
David Ashe of Allego gets into how AI roleplays prep reps for the objections nobody scripts for, and how real-time call signals become coaching that lands while the deal's still alive.
Signal Rich, Action Poor: What AI-Native Revenue Teams Do After the Insight
(Thursday, 17th September | 12 PM EST | 9 AM PT)
Your CRM knows what happened and your intelligence layer knows why, but the work still lands on a person at 6pm on a Thursday. Leaders from Airspeed, Clay, HubSpot, and Apollo map the third layer that closes the gap, where a signal becomes a finished action without anyone relaying it. You'll leave knowing which layer of your own stack is doing the least work.
Can Your GTM Agents Prove They Stayed Inside the Job?
(Tuesday 22 September, 1 PM EST)
Agents that find demand, prepare the response, and turn what they learn into the next test, working inside the tools you already run. Alex McDonnell of Hyperagent shows the handoffs, the evidence trail, and where people stay in charge.
Revolt! 2026 (Digital Conference)
(14-15 October, 11 AM to 5 PM ET)
Two days, dozens of sessions, 9,000+ leaders.
Last year drew registrants from 3,400+ companies across 40+ countries.
Want to get your brand in front of 60,000+ revenue leaders?
Partner with us and put your name at the center of the conversation.
