Office Hours with Tomasz Tunguz

Office Hours welcomed Bill Binch, former CRO at Pendo, EVP Worldwide Sales at Marketo & operating partner at Battery to share his views on building world-class sales organizations.

Bill & I exchanged emails about Deliberately Underselling as Sales Strategy. I asked him to share his views on land & expand team structure & quotas. But we covered much more. Here are three highlights from the session.

First, Deliberately Underselling means optimizing the sales process for Net Dollar Retention (NDR). Logo-based quotas focus the team on speed to close. Sometimes, these plans have a minimum contract value plus a bounty.

Another structure establishes land account executives & expand account executives. The company’s leadership should calculate sales efficiency on the combined OTE (on-target earnings) to quota ratio of these teams.

A land AE with a $300k OTE might have a $600k quota. Her land AE counterpart might also have a $300k OTE with a $2.8m quota. If they attain plan, the combined OTE/quota ratio is 0.176. Most startups operate between 0.15-0.25.

This land & expand team construct recognizes the difference in difficulty between landing & expanding accounts; also, the potential difference in ideal AE for each role. Last, the plan compensates those responsible for growing accounts with a quota - in line with Frank Slootman’s philosophy.

Second, Bill offered a bold prediction. Top startups will record 200-300% NDR as PLG becomes a dominant go-to-market strategy. Today, best-in-class tops out at 170% or so. We agree there!

Third, Bill revealed his Mojo Metric, his north-star metric. The Mojo Metric reports the net change in pipeline daily. Here’s how to calculate yours:

Mojo = new pipeline + new_pipeline_expanded + deals_pulled_forward deals_killed - deals_shrunk - deals_pushed

Each day’s Mojo reveals how much incremental pipeline the team has generated & informs the sales leader early on about this quarter’s health.

There’s much more in the session including handling commissions on multi-year deals (TCV vs ACV), criteria for evaluating ramping account executives that echoes insights from the Vista sales playbook, optimal ratios for team construction, how sales has changed in 30 years & how it changes after Covid, amongst other topics.

01:26 Journey to Snowflake

02:32 Snowflake and AI

06:43 Choosing your model

07:44 Snowflake & OS

09:43 Innovations to reduce training data size

10:59 From large to small models

13:14 Snowflake and agentic systems

15:50 AI & data security

17:17 Access control layer

18:14 Embedded applications

19:55 Data sharing

21:37 Snowflake training & inference

23:12 Data reshaping

24:40 Structured versus unstructured model inputs

25:24 Models providing the mean v. exceptions

27:19 Vector databases

30:33 Summary

01:43 Tabular Acquisition by Databricks

05:57 BI's Third Form

09:12 Future of BI

12:50 Data Quality in the World of LLMs

18:48 Building Resilient Data Pipelines & ETL

21:01 Evolving Role of BI Analysts

23:18 Data and Decision-Making

28:05 Conclusion

0:00 Office Hours - Evan Cheng

01:28 From Meta to Mysten

04:54 Why Develop a New Language, Move

11:15 Developer Response to Move

13:21 Zero Knowledge (ZK) Proof of Login

19:00 Kiosk

24:34 On Chain Storage Limitations

29:01 DAGs & Web3

30:01 Mysten Labs Ecosystem & SUI

34:03 SUI Token Launch

38:30 Closing

01:55 Big Data is Dead

06:41 Ease of Use

08:54 Hybrid Architecture

10:30 Audience Question: LLMs for Onboarding?

12:55 Hybrid Architecture Enables New Software Design

16:58 DuckDB & ETL

19:24 Duck Puns

22:07 Duck Community

24:32 Summary