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Jon Natkins

Jon Natkins

Product-minded technical sales leader, experienced in highly-complex IT solution sales across multiple stages, ranging from pre-product to hypergrowth

Oakland, CA
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Joined May 2026
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Summary

Jon Natkins is a product-minded technical leader with extensive experience in the data and analytics space. His career spans software engineering, field engineering, solutions architecture, and product management roles at companies like Cloudera, WibiData, StreamSets, Corelight, and dbt Labs. He focuses on building technical go-to-market strategies and helping businesses leverage data effectively. medium+3
He is an active contributor to thought leadership in his domain, authoring articles on topics such as big data solutions, real-time recommendation systems, open-source strategies, and data infrastructure. His writings demonstrate a deep understanding of data technologies and their business implications. medium+4
Jon also demonstrates an interest in the financial aspects of startups and personal finance for tech workers, having written several articles on topics like venture funding, stock options, and retirement accounts. This indicates a broader understanding of the tech industry beyond pure technical roles. medium+3
Beyond his operational roles, Jon is an angel investor and advisor, supporting emerging companies in the technology space, including Daytona.io and Mastra. This highlights his commitment to fostering innovation and his ability to identify promising ventures. daytona+1

Work

Education

Writing

The reconciliation bill and the tech worker

September 30, 2021
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Why early exercise matters more in today’s venture funding climate

September 15, 2021
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Who’s really using dbt?

August 18, 2021

Discusses dbt and whether Analytics Engineering is different from Data Engineering.

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Should a non-founder buy startup stock with an IRA?

July 14, 2021
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My (career) investment thesis on dbt Labs

July 7, 2021
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Peter Thiel and his billion dollar Roth tax shelter

July 1, 2021
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Deciding where to park a stash of cash

June 9, 2021
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Edge cases when starting around a funding round: the 100K ISO limit

May 19, 2021
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How not to get burned by rising strike prices in today’s startup job markets

May 13, 2021
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When does open-source make sense?

May 5, 2021
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Getting the most out of your NIDS

March 7, 2021

Discusses how to effectively use Network Intrusion Detection Systems.

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Building a Real-time, Personalized Recommendation System with Kiji

December 26, 2013

Explains how to use the Kiji framework to build real-time recommendation systems leveraging HBase, Avro, Map-Reduce, and Scalding.

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Blueprint for a Big Data Solution

October 31, 2012

Explains how to piece together tools in the Hadoop ecosystem (Flume, HDFS, Oozie, Hive) to design an end-to-end data pipeline for analyzing Twitter data.

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