Senior Pre Sales Engineer - US

Monte Carlo
United States
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Stakeholder management","Problem-solving","Self-direction"]

Run technical sales cycles end to end for strategic US enterprise opportunities, owning discovery, solution design, demos, POV execution, and technical close. Help customers “sell into the agentic stack” by explaining how to observe, trust, and improve production AI systems. Design proofs of value with success criteria, build internal technical champions, and apply deep technical expertise to account plans and QBRs while partnering with Account Executives.

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FursaFursa
Monte Carlo
Monte Carlo
5 days ago

Senior Pre Sales Engineer - US

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Run technical sales cycles end to end for strategic US enterprise opportunities, owning discovery, solution design, demos, POV execution, and technical close. Help customers “sell into the agentic stack” by explaining how to observe, trust, and improve production AI systems. Design proofs of value with success criteria, build internal technical champions, and apply deep technical expertise to account plans and QBRs while partnering with Account Executives.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Run technical sales cycles end to end for opportunities within strategic US enterprises, including discovery, solution design, demos, POV execution, and technical close.
  • •Sell and explain how to observe, trust, and improve agentic systems, covering data pipelines, retrieved context, decisions, and outputs.
  • •Design and execute proofs of value with agreed success criteria to remove technical objections and accelerate commercial close.
  • •Identify and develop technical champions inside accounts via briefings, workshops, and architecture reviews that position the platform as infrastructure.
  • •Bring a technical point of view by understanding customer data and AI architecture, where agents run, how they’re instrumented, and where reliability breaks down for account planning and QBRs.

Key Requirements

  • •5+ years in pre-sales, solutions engineering, or strategic technical account management within B2B AI-first companies and SaaS organizations, with enterprise experience.
  • •Hands-on experience with enterprise AI and agent deployments, including understanding architecture, failure modes, and moving from demo to production.
  • •Fluency in AI observability concepts (traces, spans, evaluations, instrumentation), including experience with OpenTelemetry.
  • •Strong technical and business communication skills—able to whiteboard agent architectures and discuss ROI with senior stakeholders.
  • •Experience navigating procurement, infosec reviews, and multi-stakeholder buying committees across enterprise accounts.
Experience:B2BSaaSAI-firstEnterprise accounts
Skills:CommunicationStakeholder managementProblem-solvingSelf-direction
Tech Stack:OpenTelemetryDatabricksSnowflakeDatabricks GenieSnowflake CortexDbtAirflowBigQueryMEDDPICCCommand of the Message

Company Brief

Monte Carlo
Provides an end-to-end data and AI observability platform that detects, triages, and resolves data incidents to improve data reliability for enterprise analytics and ML systems.
Industry: Data Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2019
Glassdoor
Glassdoor: 4.5
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