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Sr. Sales Engineer (Forward Deployed Engineer - Pre Sales)

Monte CarloRemote, AmericasField Engineering
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Salary
$240K - $270K USD
Job type
Full-time
Work mode
Remote
Posted
29 Sept 2026
Status
Open · checked 7d ago

About this role

Role Overview

Monte Carlo is hiring a Senior Sales Engineer (Forward Deployed Engineer - Pre Sales) for a remote position covering the Americas. This role suits an experienced technical professional with a background in B2B AI-first pre-sales who wants to drive the technical success of strategic enterprise accounts.

Key Responsibilities

Execute end-to-end technical sales cycles, managing discovery, custom solution design, live demos, and technical closures for major US enterprises.
Guide customers through the agentic stack, demonstrating how to observe, trust, and scale AI systems deployed across modern platforms.
Design and lead proofs of value (POVs) with defined success criteria to eliminate technical roadblocks and accelerate commercial deals.
Identify and cultivate technical champions within strategic accounts to secure long-term advocacy and platform expansion.
Collaborate closely with Account Executives to align commercial strategies and deliver deep architectural insights during client reviews.

Requirements

Three or more years of hands-on experience in pre-sales, solutions engineering, or strategic technical account management within B2B SaaS and AI-first companies.
Practical background working with enterprise AI, agent deployments, or related observability and data domains.
Comprehensive understanding of AI observability concepts, including traces, spans, evaluations, and instrumentation.
Strong business and technical acumen, with the ability to whiteboard complex architectures for engineers while presenting ROI to executives.
Proven capability to independently navigate complex procurement cycles, infosec reviews, and multi-stakeholder buying committees.

Nice to Have

Familiarity with modern data stack technologies like Snowflake, Databricks, dbt, Airflow, or BigQuery.
Experience with OpenTelemetry or exposure to enterprise AI platforms such as Snowflake Cortex and Databricks Genie.
Background in expanding existing enterprise accounts through land-and-expand or upsell motions.
Knowledge of formal sales methodologies and qualification frameworks such as MEDDPICC or Command of the Message.

Skills and Tools

Airflow
Snowflake
dbt
AI Observability
OpenTelemetry
Enterprise Pre-Sales

Salary and Benefits

Annual salary range of $240,000 to $270,000 USD
Equity compensation
Fully remote work environment

About the Company

Founded in 2019, Monte Carlo is an agent trust platform that unifies data and agent observability to help enterprises monitor, troubleshoot, and scale production AI systems. Backed by leading investors such as Accel, Redpoint, and Salesforce Ventures, the company empowers data and AI teams to deliver reliable automation. Monte Carlo operates as a remote-first organization and serves prominent global customers including HubSpot, Nasdaq, Fox, and Toast.

How to Apply

To apply for this position, please visit the official Monte Carlo careers page and submit your application online.

Skills and tech stack

Questions candidates ask

Is this position fully remote?

Yes, this role is remote-first by design and can be performed from anywhere within the Americas.

What is the salary range for the Senior Sales Engineer role?

The annual salary range for this position is between $240,000 and $270,000 USD, alongside equity.

How many years of experience are required?

Candidates must have at least 3 years of experience in pre-sales, solutions engineering, or strategic technical account management within B2B AI-first and SaaS organizations.

What technologies and tools are helpful to know?

Familiarity with modern data stack tools like Snowflake, dbt, and Airflow, as well as AI observability concepts and OpenTelemetry, is highly valued.

What does Monte Carlo do as a company?

Monte Carlo provides an agent trust platform that unifies data and agent observability, helping enterprises monitor, troubleshoot, and improve production AI systems.

Ready to apply?

The application is on the official Monte Carlo careers page.

Apply on company site