Enterprise Account Executive AMER

Posted Yesterday
Hiring Remotely in United States
Remote
Senior level
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Monte Carlo is the agent trust platform that monitors, troubleshoots, and improves production AI systems.
The Role
Own a US enterprise sales territory focused on landing net-new logos among companies with 1,000–10,000 employees. Build outbound pipeline, run full-cycle deals, lead MEDDPICC-based discovery, collaborate with Solutions Architects on technical evaluations, and engage data and AI executives. The role also contributes customer insights to Product and Marketing, develops segment strategy and sales collateral, and helps build the growing enterprise sales team.
Summary Generated by Built In

About Monte Carlo

Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. 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. Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale. Learn more at montecarlo.ai

The Role

We're growing our US Enterprise sales team, which covers companies with 1,000–10,000 employees. You'll own a territory end-to-end. You build the pipeline, run the cycle, and close net-new logos on large, semi-complex deals, selling Agent Trust to data and AI leaders under pressure to make their agents work in production.

What You'll Do
  • Build and own a US Enterprise territory: map and prioritize accounts, and generate at least half your pipeline through your own outbound.

  • Run full-cycle deals from first meeting to signature, landing net-new logos across 1,000–10,000-employee companies.

  • Lead discovery and qualification with MEDDPICC or Command of the Message, multi-threading from practitioners up to CDOs, CTOs, and CIOs.

  • Partner with your Solutions Architect on technical evaluations and POCs, and with Support, Pro Serv, and Product Marketing to land and expand accounts.

  • Bring the voice of the customer back to Product and Marketing: what buyers need from Agent Trust, and where deals win or stall.

  • Help build the segment: target-account strategy, sales process, collateral, and interviewing future teammates.

What We're Looking For
  • Enterprise hunting record. 4–5+ years in software sales, with 3+ in a quota-carrying role and consistent attainment on net-new logos. You can point to the deals and the numbers.

  • Self-built pipeline. You've built a territory from scratch and sourced most of your own pipeline without relying on inbound.

  • Discovery and deal control. MEDDICC, MEDDPICC, or Command of the Message is how you actually run deals. You create urgency and close on time.

  • Technical fluency. You pick up complex technical topics fast and hold your own with data engineers and platform leads. Experience in the data, infrastructure, or AI tooling space (Snowflake, Databricks, Collibra, and similar) is a plus.

  • Team player and builder. You treat your SA as a real partner, work well across teams, and want a hand in shaping how this segment scales.

This Is Not For You If
  • Most of your number came from expansion or inbound. This role is about winning new logos.

  • You need a finished playbook and a pre-built territory handed to you.

  • You'd rather pass every technical conversation to your SE.

  • You haven't carried and hit an enterprise quota in the last few years.

#LI-REMOTE

#BI-REMOTE

Why Monte Carlo
  • We created the data observability category, and we're doing it again with agent trust — you'll build where the market is forming, not where it's settled

  • Series D, $236M raised, backed by Accel, Redpoint, Notable Capital, ICONIQ Growth, and Salesforce Ventures

  • Customers include HubSpot, Fox, Nasdaq, Toast, and Mercado Libre — your work ships to enterprises with real stakes

  • Snowflake Partner of the Year and a verified connector in Anthropic's Claude AI directory

  • Remote-first by design since day one, and recognized as a Best Workplace for it

  • Competitive compensation, equity, and a remote-first environment.

Come As You Are

Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. 

Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are proud to be recognized for our world-class employee experience:

Monte Carlo Named 2025 Databricks Data Governance Partner of the Year

We were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter. See our G2 reviews here!

Monte Carlo Named to G2's Best Software Products of 2026

Monte Carlo was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025!

We are super proud to be named the 2026 Best Place to Work by Built In!

Beware of Imposter Recruiters and Job Scams

  • All official communication from our recruiting team will come from an @montecarlodata.com email address.

  • We will never ask candidates to provide sensitive personal information (such as bank details, social security numbers, or payment) at any stage of the recruitment process.

  • We will never request payment for equipment, training, or application processing.

  • Our open positions are always listed on our official careers page: https://jobs.ashbyhq.com/montecarlodata.

If you are contacted by someone claiming to represent Monte Carlo but you’re unsure of their legitimacy, please reach out to us directly at [email protected] before sharing any personal information.

Skills Required

  • 4–5+ years of software sales experience
  • 3+ years in a quota-carrying sales role
  • Consistent attainment on net-new logos
  • Experience building a territory from scratch and sourcing most pipeline through outbound prospecting
  • Experience running enterprise deals using MEDDICC, MEDDPICC, or Command of the Message
  • Ability to lead discovery, create urgency, control deals, and close on time
  • Technical fluency with complex data, infrastructure, or AI topics
  • Ability to engage data engineers, platform leads, and senior technology executives
  • Experience in data, infrastructure, or AI tooling, such as Snowflake, Databricks, or Collibra
  • Ability to collaborate effectively with Solutions Architects and cross-functional teams
  • Willingness to help develop sales processes, account strategies, collateral, and interview future teammates

What the Team is Saying

Monte Carlo Compensation & Benefits Highlights

  • Leave & Time Off Breadth — Paid time off is presented as unlimited, with additional references to paid holidays and sick days. Feedback suggests this breadth of time off supports work-life balance.
  • Parental & Family Support — Parental leave is listed at 12 weeks, and some profiles cite expanded durations for birthing and non-birthing parents alongside fertility benefits. These signals point to meaningful family support for different parent types.
  • Healthcare Strength — Health coverage is described as comprehensive across medical, dental, and vision, often paired with mental-health resources and FSA/HSA options. Feedback suggests these offerings form a solid core of the overall benefits package.

Monte Carlo Insights

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The Company
HQ: San Francisco, CA
135 Employees
Year Founded: 2019

What We Do

Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. 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. Founded 2019. Backed by leading investors. Trusted by 400+ enterprises including Amazon, PepsiCo, CNN, Nasdaq, and JetBlue.

Why Work With Us

A Built In 2026 Best Place to Work, Inc. Best Workplace 2024, and Newsweek Most Loved Workplace. We're remote-first, solving one of the biggest problems in the AI era: trust. We build fast, ship bold, and have a great time doing it. Come help the world adopt trusted AI.

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Monte Carlo Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Remote-first, local-second. We hire the best person for the role wherever they are, default to async, and cover coworking for everyone. Dedicated offices in eight cities for anyone who wants an in-person day. None of them required.

Typical time on-site: Not Specified
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