Senior Growth Engineer, Monte Carlo
Backend, Python
$180-230k
+ Equity
Data observability platform
Job no longer available
Data observability platform
201-500 employees
Job no longer available
$180-230k
+ Equity
201-500 employees
Company mission
To accelerate the world’s adoption of data by reducing data downtime.
Role
Who you are
- You have 5+ years of experience delivering production-grade backend code, performing code reviews, and working on cloud, data, and web applications
- You have strong Python skills or mastery of similar backend technologies in a large, complex codebase
- You test your work (with automation) and follow traffic as customers use your features
- You tech-lead critical projects or initiatives within your team and organization
- You have experience in some of:
- Growth engineering: building software products that drive adoption and usage
- Data-driven applications
- Serverless applications, especially with AWS and Lambda
- The needs of data engineers and analytics teams, such as with Snowflake, Databricks, Airflow, dbt, or many similar tools (our customers)
- Observability - a love of software APMs, debugging tools, and uptime metrics
- Billing and payments - business applications
- You collaborate with your team in a remote-first environment
- You get your urgency from user feedback and product vision
- You're pragmatic and biased towards action; you're able to see the bigger picture and reason about prioritization and scope
What the job involves
- We are looking for a senior engineer to take significant ownership in growing usage of Monte Carlo's cloud application for Data Observability. The Growth Engineering team is focused on onboarding new users and customers so that they get the full value of MC in their organizations
- The role will involve end-to-end development: full production implementation, monitoring & tracking outcomes of experiments, and post-release operations
- You will be collaborating with a small team of seasoned engineers, and your work will greatly impact our product and customers
- Building production-grade backend services and APIs that support usage of our platform
- Helping formulate usability requirements and designs
- Owning major projects from inception to deployment, shipping at a rapid pace
- Architecting simple yet flexible solutions, and then scaling them as we grow
- Testing, and operating your code in production, with measurement of its impact on our customers
- Navigate with some ambiguity while solving problems and pursuing solutions to difficult challenges
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.
Share this job
View 7 more jobs at Monte Carlo