Monte Carlo

Monte Carlo

Senior Pre Sales Engineer - US

Remote, Americas · Senior

Sponsorship not specifiedDetected 1 day ago
SpringBigQuerySnowflakeDatabricksPlatform EngineeringAirflowdbtData EngineeringCybersecuritySalesAccount ManagementProcurementCommunicationPublic Speaking

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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • The largest enterprises in the US are deploying agents into production right now - and discovering that trust, reliability, and observability are the difference between a pilot and a platform.
  • We're looking for a sales engineer who has lived that reality and can help our strategic customers navigate it.

Responsibilities

  • Run technical sales cycles end to end. Own discovery, solution design, demos, POV execution, and technical close for opportunities within strategic US enterprises. Partner with Account Executives on commercial strategy
  • drive the technical win independently.
  • Drive POVs that convert. Design proofs of value with agreed success criteria, manage the evaluation, and deliver results that remove technical objections and accelerate the commercial close.
  • Build technical champions.
  • Identify and develop the advocates inside each account who will carry Monte Carlo into the next budget cycle, platform decision, or executive review.
  • Self-directed and accountable. A lean US team with high-value accounts. You prioritise your own time, know when to escalate, and know when to push back.
  • Own discovery, solution design, demos, POV execution, and technical close for opportunities within strategic US enterprises.
  • Partner with Account Executives on commercial strategy; drive the technical win independently.
  • As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human-guided agents to fully autonomous operations.
  • Run technical sales cycles end to end. Own discovery, solution design, demos, POV execution, and technical close for opportunities within strategic US enterprises. Partner with Account Executives on commercial strategy; drive the technical win independently.

Requirements

  • Hands-on experience with enterprise AI and agent deployments.
  • You know what it takes to get an agent from demo to production.
  • Experience with OpenTelemetry is highly prized, as is exposure to Databricks Genie, Snowflake Cortex, or similar enterprise AI platforms.
  • 5+ years in pre-sales, solutions engineering, or strategic technical account management within B2B AI-first companies and SaaS organisations - with meaningful experience in enterprise accounts.
  • You can whiteboard an agent architecture and hold a conversation with a VP of Data & AI about ROI and competitive positioning.

Nice to have

  • Experience growing existing enterprise accounts - expansion, upsell, or land-and-expand motions.
  • Familiarity with MEDDPICC, Command of the Message, or similar sales qualification and value frameworks.
  • Experience selling into US enterprises across multiple states and regulatory environments.
  • Technical win rate on POVs.
  • POVs you run should convert.
  • Technical execution against pipeline.
  • Every opportunity properly scoped, proven, and technically closed.
  • Still important - closed commitments should translate into growing consumption over time, and your technical work sets that trajectory.

Compensation

  • 70/30 base-to-variable split. Variable is weighted toward commit attainment — helping close opportunities is the priority — with a revenue growth component recognising the compounding impact of your technical work. You earn more when you help close.

Company info

  • Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale.
  • Our customers are deploying agents on Databricks, Snowflake, and their own platforms.
  • Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems.

This listing is sourced directly from Monte Carlo's careers page and normalized into a canonical job model.