Senior Manager, Revenue Operations

Posted:
7/24/2024, 9:12:27 AM

Location(s):
Pleasanton, California, United States ⋅ California, United States

Experience Level(s):
Senior

Field(s):
Operations & Logistics ⋅ Sales & Account Management

Workplace Type:
On-site

At Tekion, we're building the only cloud-native platform that is transforming the automotive retail industry, leapfrogging it into the future and providing unparalleled customer experience. We're creating seamlessly integrated, elegant, and intuitive solutions built with cutting edge technology and powered by Big Data, Machine Learning (ML)/ AI and Internet of Things (Connected vehicle to connected devices). We’re harnessing passion, entrepreneurial spirit, deep industry expertise and the latest technologies to create something very special. We're inventing new technology along the way to overcome barriers and solve big problems, all while having a blast doing it!

 

*Please note this role is based full time, on-site based at our Pleasanton, CA office 5 days/week

 

Job Description

The Senior Manager, Revenue Operations will be responsible for leading a global team of Revenue Operations (Billing and Cash Application) and Collections leaders, overseeing operational excellence and driving efficiency into the Contract to Cash life cycle for revenue.

Key Responsibilities

  • Drive operational excellence through cross-functional collaboration with Sales, Program Management Teams, Sales Operations, and Customer Success
  • Implement a metrics-driven management approach to daily operations.
  • Manage a global Revenue Operations team, responsible for conducting daily operations of multiple revenue channels.
  • Serve as the Business Owner of our ERP modules (SuiteBilling and ARM) in NetSuite as interfaces with upstream processes from Lead to Contract and Fulfillment.
  • Partner with Deal Desk and Pricing Committee to escalate and drive decision on non-standard deals.
  • Partner with Technical Accountant to assess revenue recognition impact and execute based on conclusion reached.
  • Identify processes for automation.
  • Drive quality into the organization through constant inspection, verification, and reconciliation.
  • Support FP&A in the development of forecasting revenue and reporting. 
  • Effectively lead change management across teams through documented governance
  • Be a trusted advisor across the business.
  • Oversee maintenance of key documentation including but not limited to Operations playbooks, policies, system requirements, process Flows, 
  • Monitor industry trends and best practices to ensure our systems (e.g.NetSuite, salesforce.com) solutions are current with industry standard methodologies and new technology implementations

Skills and Experience

  • Minimum of 3 years of experience leading a Revenue Operations Team, and overall 7+ years prior Revenue Operations in a high-volume environment (Billing, Collections and Revenue Recognition) or related field at a preferred SAAS company
  • Industry knowledge of best practices
  • Exceptional communication skills
  • Results-oriented and demonstrated ability to identify root causes of problems, generate and evaluate creative solutions, implement fact-based resolutions optimally to drive productivity
  • Ability to conduct sophisticated and creative analysis, yet translate those results to easily digestible messages and action-based insights
  • Excellent presentation, communication and relationship building skills
  • Highly organized with excellent attention to detail
  • Capable of working in a fast-paced environment and prioritizing multiple work assignments simultaneously
  • Experience with tools/systems such as Salesforce, NetSuite, Excel, Solution7 and FloQast (a plus)

Perks and Benefits

  • Competitive compensation and generous stock options   
  • 100% employer-paid top-of-the-line medical, dental and vision coverage  
  • Great benefits including unlimited PTO, parental leave and free snacks and beverages  
  • The opportunity to work with some of the brightest minds from Silicon Valley’s most dominant and successful companies   
  • Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper    
  • Work on the latest and coolest technologies – everything is home-grown and built ground-up   
  • A dynamic work environment with a strong sense of community and collaboration   
  • The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy   
  • Exciting opportunities for career growth and development   

The salary range for this position is $155,800 - $210,800.  The salary range describes the minimum to maximum base salary range for this position across applicable US locations. This position is also eligible for a bonus whereby total compensation may exceed base salary depending on individual performance. The actual compensation offered may vary from the posted hiring range based on geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.Your recruiter can share more about the specific salary range during the hiring process.  In addition to the compensation listed, this position is eligible for equity compensation.

#LI-Onsite

Current Tekion Employees – Please apply via Greenhouse Internal Job Board

Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

For California residents you can review Tekion's California Privacy Policy here.

Tekion

Website: http://www.tekion.com/

Headquarter Location: Pleasanton, California, United States

Employee Count: 1001-5000

Year Founded: 2016

IPO Status: Private

Last Funding Type: Series D

Industries: Artificial Intelligence (AI) ⋅ Automotive ⋅ Big Data ⋅ Machine Learning ⋅ Management Information Systems ⋅ Software