AeroLeads people directory · profile
Nathan Murthy Email & Phone Number
Head of Engineering
at
Verse, Inc.
2 work emails found
@teslamotors.com
3 phones found area 510 and 888
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Who is Nathan Murthy? Overview
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Quick answer
Nathan Murthy is listed as Head of Engineering at Verse, Inc., based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at teslamotors.com, phone signal with area code 510, 888, and a matched LinkedIn profile for Nathan Murthy.
Nathan Murthy previously worked as Principal Software Engineer at Verse, Inc. and Staff Software Engineer at Stripe. Nathan Murthy holds Bachelor'S Degree, Applied Mathematics, Interdisciplinary Studies from University Of California, Berkeley.
Company email context
Email format at Verse, Inc.
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{first_initial}{last}@teslamotors.com
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AeroLeads found 2 current-domain work email signals for Nathan Murthy. Compare company email patterns before reaching out.
Profile bio
About Nathan Murthy
I write things. I do things.
Listed skills include Python, Java, Algorithms, Distributed Systems, and 17 others.
Current workplace
Nathan Murthy's current company
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14 roles
Nathan Murthy work experience
A career timeline built from the work history available for this profile.
Head Of Engineering
CurrentServing as tech lead manager with a super sharp and passionate team of engineers building renewable energy procurement and valuation software powered with generative AI and ML at the core of our product and developer experience. We use TypeScript, React, Next.js for our frontend; and Go, Python, Postgres, Snowflake, and Google Cloud for our backend.
May 2023 - Present
Principal Software Engineer
Joined a seed stage startup as a founding technical lead, building software tools for renewable energy procurement and portfolio management
Mar 2023 - May 2023
Staff Software Engineer
Did some pretty cool things at scale with Spark, Scala, Ruby, and Python to build financial reporting tools aggregating billions of transactions each year that empowered tens of millions of small business merchants and creatives all over the world with insights into their payment activity.
Jan 2021 - Feb 2023
Staff Software Engineer
Worked in Core Automation Services (the team formerly known as Factory Software Infrastructure Engineering) helping with Model S/X self tests and safety critical recording for Model 3/Y on the oompa loompa assembly line, the deepest concentric circle of the elon ego factory (see Canto XXXIV of Dante's Inferno).
Jun 2018 - Dec 2020
Staff Software Engineer
Built, designed, architected, and maintained service-oriented applications for distributed energy storage technologies and cross-functional data analytics platforms to support Autobidder (algorithmic AI/ML trading software) for the largest energy storage asset in the world and other virtual power plant concepts.
Sep 2017 - Jun 2018
Staff Software Engineer
Lot's of organizational refactoring during this time that came with a small promotion.
Feb 2017 - Sep 2017
Senior Software Engineer
Served as tech lead manager. Created recruitment, hiring, and retention program for Distributed Controls Team of nearly a half dozen individually contributing software engineers. Focused on distributed energy management systems with Grid Services / GridX group in partnership with California utilities PG&E, SDG&E, and SCE.
Feb 2016 - Feb 2017
Software Engineer
Building test beds and model-predictive control software for battery+solar systems in residential and commercial settings as tech lead for the Grid Systems Integration team
May 2014 - Feb 2016
Software Engineer
Developed intelligent software for monitoring and controlling distributed solar and storage resources. Acquired by Tesla in November 2016.
May 2014 - Nov 2016
Analytics Engineer
Worked at a small startup developing analytics tools, test frameworks, and distributed control systems for an integrated energy management solution with Hitachi, Mitsubishi, Japan's Ministry of Economy, Trade, and Industry, and other electric utility business partners through the OpenADR Alliance.
Apr 2013 - May 2014
Software Engineer
Research and development in Smart Energy with the Cloud-based Solutions Innovation Group (CSIG) at Fujitsu Laboratories of America in Silicon Valley.
Jan 2012 - Mar 2013
Research Intern
Sep 2011 - Jan 2012
R&D Engineer
Banatao Institute At Citris
I worked with an interdisciplinary research team investigating automated demand response (AutoDR) applications in commercial buildings.
Sep 2010 - Sep 2011
2 education records
Nathan Murthy education
Bachelor'S Degree, Applied Mathematics, Interdisciplinary Studies
University Of California, Berkeley
Diploma
Lawrence E. Elkins High School
FAQ
Frequently asked questions about Nathan Murthy
Quick answers generated from the profile data available on this page.
What company does Nathan Murthy work for?
Nathan Murthy works for Verse, Inc..
What is Nathan Murthy's role at Verse, Inc.?
Nathan Murthy is listed as Head of Engineering at Verse, Inc..
What is Nathan Murthy's email address?
AeroLeads has found 2 work email signals at @teslamotors.com for Nathan Murthy at Verse, Inc..
What is Nathan Murthy's phone number?
AeroLeads has found 3 phone signal(s) with area code 510, 888 for Nathan Murthy at Verse, Inc..
Where is Nathan Murthy based?
Nathan Murthy is based in San Francisco Bay Area, United States while working with Verse, Inc..
What companies has Nathan Murthy worked for?
Nathan Murthy has worked for Verse, Inc., Stripe, Tesla, Solarcity, and Wireless Glue Networks, Inc..
How can I contact Nathan Murthy?
You can use AeroLeads to view verified contact signals for Nathan Murthy at Verse, Inc., including work email, phone, and LinkedIn data when available.
What schools did Nathan Murthy attend?
Nathan Murthy holds Bachelor'S Degree, Applied Mathematics, Interdisciplinary Studies from University Of California, Berkeley.
What skills is Nathan Murthy known for?
Nathan Murthy is listed with skills including Python, Java, Algorithms, Distributed Systems, Matlab, Mysql, Software Development, and Machine Learning.
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