Head of Revenue Operations, Monte Carlo

Go-To-Market

Salary not provided
Salesforce
Expert level
Remote in US
Monte Carlo

Data observability platform

Be an early applicant

Monte Carlo

Data observability platform

201-500 employees

B2BEnterpriseBig dataSaaSData Integration

Be an early applicant

Salary not provided
Salesforce
Expert level
Remote in US

201-500 employees

B2BEnterpriseBig dataSaaSData Integration

Company mission

To accelerate the world’s adoption of data by reducing data downtime.

Role

Who you are

  • The ideal candidate will have over ten years of experience in revenue operations, deep expertise in marketing operations, sales operations, business intelligence, tools & systems, and enablement, and a proven track record of developing and executing successful GTM strategies
  • Additionally, this individual should have a proven track record of contributing to the growth of companies to $100M+ in revenue
  • 10+ years of experience in revenue operations, sales operations, or a related field, with a strong focus on go-to-market strategies
  • Proven track record of driving revenue growth and operational efficiency in a fast-paced environment
  • Strong analytical skills with the ability to interpret data and translate insights into actionable strategies
  • Excellent leadership and team management skills, focusing on collaboration and empowerment
  • Proficiency in CRM systems (e.g., Salesforce) and other relevant sales and marketing technologies
  • Exceptional communication and presentation skills, with the ability to influence stakeholders at all levels

What the job involves

  • Monte Carlo seeks an experienced and strategic Head of Revenue Operations to join our leadership team
  • This role is critical in optimizing and scaling our revenue operations processes, introducing new technologies, and driving efficiency across our go-to-market functions
  • This role can be located anywhere in the US and will report directly to the Chief Revenue Officer
  • Design and implement comprehensive revenue operations strategies that align with company goals and enhance the effectiveness of GTM teams
  • Collaborate closely with Sales, Marketing, Customer Success, and Product teams to ensure alignment and execution of revenue-generating initiatives
  • Identify process improvement and automation opportunities to streamline operations and increase efficiency across GTM functions
  • Evaluate and implement technology solutions that enhance revenue operations, ensuring that tools and systems are integrated and leveraged effectively
  • Drive the adoption and utilization of sales technology tools, such as CRM, sales automation, and reporting tools
  • Analyze sales pipeline data to identify opportunities for improvement in sales processes, pipeline management, and forecasting accuracy. Utilize data analytics to provide insights into revenue performance, identify trends, and inform strategic decisions. Develop and maintain KPIs to measure success
  • Oversee revenue forecasting and budgeting processes to ensure accurate projections and resource allocation
  • Manage the deal desk function, ensuring timely and accurate deal pricing, approval, and execution
  • Create and manage training programs, resources, and tools that empower the sales team to effectively engage prospects and close deals

Our take

Dozens of billion dollar companies have emerged with a shared focus on easing the burden on engineering teams constantly battling to guarantee reliability in their products. For example, New Relic revolutionized application observability. In the same way, Monte Carlo is tackling data observability.

The service pulls information from metadata log metrics to help teams understand their data health, and if something breaks the product will send proactive notifications. The product is an off-the-shelf SaaS offering that customers can integrate and customize over time.

The company has won some major clients including big tech companies like Affirm and Intuit, but also JetBlue, PepsiCo, CNN, The New York Times, Asics, Rivian and others from many sectors. Its goal is to help companies reduce data downtime and the time data engineers must spend on tedious data quality tasks.

'Data Observability’ became a point of furore in venture capital in 2022. For example, in the span of one week, just three companies raised more than $400 million between them. Staying at the forefront of this industry will be an interesting challenge for the company.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Led by a woman
Top investors

Some candidates hear
back within 2 weeks

32% employee growth in 12 months

Company

Funding (last 2 of 4 rounds)

May 2022

$135m

SERIES D

Aug 2021

$60m

SERIES C

Total funding: $236m

Company values

  • Customer impact: Our true north is making an impact on our customers with our team, our brand, our product. We work to ensure every interaction creates value and happiness
  • Measure in minutes: Time is our most important asset. We act with urgency, in a thoughtful and decisive manner
  • Ship and iterate: We have high expectations from ourselves. We accomplish through constant iteration and improvement. We respect and honor our imperfections
  • Beat the odds: If we haven’t failed, we didn’t try hard enough. We set ambitious goals and beat them. We pull each other to overachieve
  • Have fun: We stay positive, even when things are difficult. We win as a team, and we act in a way that makes us proud of the journey

Company HQ

Dolores Heights, San Francisco, CA

Leadership

Previously VP of Customer Success Operations for Gainsight. Originally trained as a Management Consultant with Bain & Company. Also attended Stanford where they studied Mathematics and Computer Science.

Previously SVP of Engineering for another tech startup, Barracuda. Also previously worked for PayPal and holds an MBA from Stanford University.

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