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Hightouch

Revenue Operations Lead (Manager or Director)

Job Posted 10 Days Ago Posted 10 Days Ago
Remote
3 Locations
Senior level
Remote
3 Locations
Senior level
As a Revenue Operations Lead, you'll enhance performance, analyze sales data, manage territory insights, and collaborate on compensation with sales and finance teams.
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About Hightouch

Hightouch’s mission is to empower everyone to take action on their data.  We’ve pioneered the Composable Customer Data Platform (CDP), which helps companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Traditionally, acting on data has required engineering time and bandwidth, and left most business users stuck with charts and reports that are unable to take automated action on their data. With Hightouch, every business user, without writing any code, can activate data to streamline critical processes, improve marketing performance, and scale operations.

Our team operates with a focus on making a meaningful impact for our customers. We believe in approaching challenges with a first-principles thinking mindset, moving quickly and embracing our value of efficient execution, and treating each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

Hundreds of companies use Hightouch, including PetSmart, Warner Music Group, Spotify, Ramp, Retool, Plaid, and L’Oreal. We’re based in San Francisco and are remote-friendly. Hightouch is backed by leading investors such as Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

The Role 

We’re hiring a seasoned Revenue Operations professional to enhance the performance of our high-powered go-to-market organization. Hightouch has grown from 10 to 40+ account executives in less than two years, and we’re seeking someone who has the wisdom and insight to help us direct our talented team to the areas of most opportunity. 

This role reports into the VP of Finance & Data and will manage a Revenue Operations team member. While we anticipate the RevOps team at Hightouch will continue to grow as we scale, we want to find someone who leads from the front and is excited to be hands-on-keyboard. 

What You'll Do 

  • Work closely with sales leadership and the executive team to advise on how we can best achieve our growth goals 
  • Surface up areas of concern and opportunity based on your analysis of our pipeline generation efforts and opportunity/sales funnel
  • Own territory management, providing sales leadership and executives with insights as to the success of new hires, when a territory should be split, and market signals 
  • Deliver clear and reliable forecasting that helps us make forward-thinking hiring and financial decisions 
  • Collaborate with sales leadership and the finance team to design motivating and thoughtful compensation plans

Who You Are 

  • You have extensive experience working in high-growth startups with 50+ account executives. Bonus points if you’re worked at a company that serves the Enterprise segment (>5K employees at customer companies) 
  • You have a demonstrated history of helping sales leaders “see around corners” via analytics and improving operations 
  • You’ve driven behavioral and cultural change via the systematic use of compensation/incentives, data visibility/accountability, and enablement 
  • You work fluidly across teams ranging from marketing to support to finance to executives 
  • You’re excited to bring your best practices from your prior experiences to bear, but also want to deeply learn the nuances of Hightouch’s product and sales process 


The salary range for this position is $200,000 to $240,000 per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

#LI-DNI 

Top Skills

Compensation Plans
Data Analysis
Forecasting

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