Own onboarding and deployment from day one post-close — getting customers live on Snowflake, Databricks, and adjacent stack components with the right monitors, alerts, and integrations configured for their environment.
Drive customers to consumption — you're accountable for ensuring they're actively using what they bought and realizing measurable value, not just technically deployed.
Write production-quality code where needed: custom integrations, API-based automations, SDK implementations, and data quality rule deployments tailored to the customer's actual pipelines.
Unblock customers fast — diagnosing deployment issues, resolving edge cases, and removing whatever stands between a signed contract and a fully operational Monte Carlo environment.
Build adoption depth beyond the initial champion — helping customers expand usage across teams, data assets, and use cases to drive long-term stickiness.
Become the technical advisor customers call before they escalate — shaping how they operationalize data observability and growing into a trusted extension of their data team.
Feed deployment and adoption signals back to Product and Engineering — you'll have the clearest view of what's working in production and where customers get stuck.
Help define what great post-sale technical execution looks like as an early FDE hire — you'll shape the playbook.
PythonSQLSnowflake+5 more
About Monte Carlo
Monte Carlo is pioneering the data observability category, ensuring that the data powering today's businesses and AI initiatives is accurate and reliable. As data and AI become critical for competitive advantage, the platform helps companies like Fox, Roche, Honeywell, and CreditKarma deliver trustworthy data at scale, resolving over 1,000 incidents daily and monitoring 10 million tables. They address "data downtime"—when data is missing, inaccurate, or unreliable—a significant challenge for 68% of data leaders who feel pressure to build GenAI but are not AI-ready.
How We Work
Monte Carlo champions a culture centered around impact, speed, and trust. Team members prioritize actions that drive tangible outcomes for clients and the company, embracing quick execution over perfection to deliver value efficiently. This focus fosters clarity, purpose, and accountability, building a strong sense of ownership. The company operates with a remote-first philosophy, offering flexible work schedules and an open-door policy, while also maintaining physical office locations for those who prefer in-person collaboration. Equality and inclusivity are core tenets, committed to building a global team with diverse backgrounds, perspectives, and experiences.
Engineering at Monte Carlo
Engineers at Monte Carlo tackle the complex challenges of building a cloud service, robust data pipelines, and an ML platform that ensures data reliability for hundreds of enterprise customers. This involves end-to-end development, from refining requirements to full production implementation, and architecting simple yet flexible solutions that scale with rapid growth. They work with modern data technologies, including SQL, cloud data warehouses, and orchestration tools, often leveraging Python and AWS. The focus is on preventing data downtime and building trust in data, contributing to a critical aspect of the modern data stack.
Why Join Us
Work at the forefront of the data and AI observability movement, preventing downtime for leading data teams.
Lead and grow high-impact teams in a culture valuing ownership, curiosity, and empathy.
Partner with data-forward organizations building the next generation of data products and insights.
Join a company recognized as a "Best Place to Work" by Built In in 2026 and a G2 #1 Data Observability Platform for eight consecutive quarters.
Experience significant professional growth in a fast-moving startup environment that prioritizes speed and impact.
Benefits & Perks
401(K) with company equity and performance bonuses.
Comprehensive health insurance including medical, dental, and vision.
Generous paid time off (PTO) and unlimited vacation policy.
Paid parental leave.
Customized professional development tracks and mentorship programs.