Strategic Sales Engineering Manager, Monte Carlo

East/Central

Salary not provided
Expert level
Remote in US

More information about location

Monte Carlo

Data observability platform

Job no longer available

Monte Carlo

Data observability platform

201-500 employees

B2BEnterpriseBig dataSaaSData Integration

Job no longer available

Salary not provided
Expert level
Remote in US

More information about location

201-500 employees

B2BEnterpriseBig dataSaaSData Integration

Company mission

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

Role

Who you are

  • 3+ years of recent experience directly managing a team of enterprise sales engineers in a fast-paced, matrixed environment
  • Sales engineering experience in data required
  • 10+ years of full-cycle, B2B sales engineering experience in complex software sales; a successful track record of winning new business at the enterprise and strategic level
  • Experience working in startup environments is strongly preferred
  • Excellent communication skills; the ideal candidate will be a natural storyteller who can articulate complex ideas and easily engage varied audiences
  • Ability to work autonomously while also collaborating with multi-disciplined teams

What the job involves

  • Monte Carlo is growing its Sales Engineering team to accelerate our rapid growth
  • As a Sales Engineering Leader, you will play a pivotal role in driving our sales efforts across all of our customer segments and expanding our footprint with the largest data teams in the world
  • You will lead a team of high-performing sales engineering professionals, shape our POV strategy, and foster relationships with key customers
  • Will report to our Head of Field Engineering
  • Evangelizing a category with enormous potential. You’ll be an early member of the go-to-market team that’s changing the data industry
  • Hire and develop a team of high-performing sales engineers
  • Regularly report on team and individual results through inspection and forecasting
  • Identify and make recommendations for improvement in the areas of process, efficiency, and productivity
  • Create POV and expansion playbooks to land net new deals and expand within the customer base
  • Build tight partnerships with sales leadership further to define a successful and repeatable sales and expansion process
  • Understand the challenges facing the team and clear the way to allow for success

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

Insights

Led by a woman
Top investors

Few 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

Founders

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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