Strategic Sales Engineering Manager, Monte Carlo
West/Central US
More information about location
Data observability platform
Open for applications
Data observability platform
201-500 employees
Open for applications
More information about location
201-500 employees
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
- 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
- Sales engineering experience in data sector required
- Strategic account experience - Global 2000, companies with more than 10,000 employees, working long sales cycles
- Experience working in startup environments is strongly preferred
- Experience working with consumption-based models
- 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
- This role is fully remote and needs to be located on the East Coast/EST, who will report to our Head of Field Engineering
- We are looking for a dynamic and results-oriented front-line Strategic Sales Engineering Manager - West/Central US to join our team
- As a Strategic Sales Engineering Manager, 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
- 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 is an interesting challenge for Monte Carlo, and it met it in 2024 with product enhancements that include new GenAI capabilities for its platform.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
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 HQ
Dolores Heights, San Francisco, CA
Leadership
Barr Moses
(CEO)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.
Lior Gavish
(CTO)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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