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# Thomas Lopez

**Headline:** Revenue Operations Manager
**Profession:** Revenue Operations Manager
**Location:** Jacksonville, FL, USA

## About

Thomas Lopez is the Revenue Operations Manager at Harness, with more than seven years of Revenue Operations leadership experience across sales operations, customer success, sales development, and go\-to\-market systems\. Thomas is strongest at building and operationalizing automation that improves account qualification, sales efficiency, attribution visibility, and adoption across sales and marketing teams\. His technical toolkit includes Python and JavaScript automation, Salesforce administration, CPQ, Clay tables and agents, and ownership of the full GTM stack\. At Orum, Thomas held Sales Operations Manager, Sales Operations Program Manager, and Customer Success Manager roles\. He built an automated research and scoring system using Clay, agents, and Python scoring models that reduced the sales cycle from 45 to 35 days and increased initial\-meeting show rates by 5%\. Thomas also automated attribution tracking that identified an underperforming marketing agency and contributed to separating from that vendor\. He builds trust in automated systems by validating results against manually checked data samples and documenting the work thoroughly\. Thomas is interested in a player\-coach role leading a small team of one to two people, building initial automations while guiding how sales and marketing use them\.

## Highlights

- Revenue Operations Manager at Harness\.
- More than seven years of Revenue Operations leadership experience\.
- Held Sales Operations Manager, Sales Operations Program Manager, and Customer Success Manager roles at Orum\.
- Built an automated research and account\-scoring system that reduced the sales cycle from 45 days to 35 days\.
- Increased initial\-meeting show rates by 5% through automated research and scoring\.
- Automated sales research and scoring with Clay tables, agents, and Python scoring models\.
- Uses Python to build account\-qualification scoring models\.
- Automated attribution tracking that identified marketing\-agency underperformance and led to separation from the vendor\.
- Technical experience includes Python and JavaScript automation, Salesforce administration, CPQ, and full GTM\-stack ownership\.
- Validates automated\-system outputs against manually checked data samples and documents the work thoroughly\.
- Previously served as Sales Development & Customer Success Manager at Enduvo\.
- Previously served as Sales Development Manager at Buffalo Intelligent Technology Systems\.
- Previously served as Sales Development Representative at Alleyoop\.
- Earned a bachelor’s degree in Political Science & Government from Canisius College in Buffalo, New York\.

## Experience

- **Revenue Operations Manager at Harness** (2025\-01\-01–present)
- **Sales Operations Manager at Orum** (2024\-01\-01–2025\-01\-01)
- **Sales Operations Program Manager at Orum** (2022\-01\-01–2024\-01\-01)
- **Customer Success Manager at Orum** (2021\-01\-01–2022\-01\-01)
- **Sales Development & Customer Success Manager at Enduvo** (2020\-01\-01–2021\-01\-01)
- **Sales Development Manager at Buffalo Intelligent Technology Systems** (2019\-01\-01–2020\-01\-01)
- **Sales Development Representative at Alleyoop** (2019\-01\-01–2019\-01\-01)

## Education

- Bachelor's Degree, Political Science & Government — Canisius College, Buffalo, NY (2017\-01\-01)

## FAQ

### What does Thomas do?

Thomas is the Revenue Operations Manager at Harness\. He has more than seven years of Revenue Operations leadership experience and works across sales operations, automation, customer success, and go\-to\-market systems\.

### What are Thomas’s core Revenue Operations strengths?

Thomas’s strengths include Python and JavaScript automation, Salesforce administration, CPQ, account scoring, attribution tracking, and full GTM\-stack ownership\. He builds systems intended to improve both operational efficiency and sales\-and\-marketing adoption\.

### What did Thomas accomplish with automated ICP research and account scoring?

Thomas built an automated account\-research and scoring system using Clay tables, agents, and Python scoring models\. The system reduced the sales cycle from 45 days to 35 days and increased initial\-meeting show rates by 5%\.

### How does Thomas use Python in Revenue Operations?

Thomas codes in Python to build scoring models for account qualification\. He used Python models alongside Clay tables and agents to automate sales research and scoring\.

### What did Thomas accomplish with attribution automation?

Thomas automated attribution tracking that revealed underperformance by a marketing agency\. The insight led to separating from that vendor\.

### How does Thomas build trust in automated systems?

Thomas validates automated\-system results against manually checked data samples and provides thorough documentation\. This approach is designed to build trust in the quality and use of the automation\.

### What roles did Thomas hold at Orum?

Before joining Harness, Thomas worked at Orum as Sales Operations Manager, Sales Operations Program Manager, and Customer Success Manager\.

### What experience does Thomas have before Orum?

Thomas previously served as Sales Development & Customer Success Manager at Enduvo, Sales Development Manager at Buffalo Intelligent Technology Systems, and Sales Development Representative at Alleyoop\.

### What is Thomas’s educational background?

Thomas earned a bachelor’s degree in Political Science & Government from Canisius College in Buffalo, New York\.

### What type of role does Thomas want next?

Thomas wants to lead a small team of one to two people in his next role\. He prefers a player\-coach position in which he builds the first versions of automations and helps determine how sales and marketing should use them\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/thomas\-lopez

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