Strategic Account Executive, AMER

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US onlyExperience not statedPublished 6 October 2026Looks fresh

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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
Experience not stated
Where you can live
US only
Skills and tools
salesforce, hubspot, forecasting, quota, troubleshooting
Job type
Full-time

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Job details

Where you can work
United States
Employment type
Full-time
Advertised pay
Not stated by the employer
Experience
Experience not stated
Employer publication date
6 October 2026
First recorded by Psst
12 October 2026
Last checked at the source
11 November 2026

About the job

About Monte Carlo

Monte Carlo is the agent trust platform that autonomously observes, fixes, and continuously improves agents and the data that powers them — so enterprises can scale trust at the speed of AI. Bayes, our AI teammate, does the work: detecting, triaging, troubleshooting, and fixing issues in AI agents and the data powering them. The result is self-improving agents that get better with every fix instead of drifting. More than 400 enterprises, including Amazon, PepsiCo, CNN, Nasdaq, and JetBlue, rely on Monte Carlo. Learn more at montecarlo.ai [link for members]

THE ROLE

Monte Carlo's Strategic sales team owns our Global 2000 business: landing new logos and expanding within accounts like Pepsi, Fox, General Mills, and Amgen. We're hiring Strategic Account Executives in California and on the East Coast (New York/Boston) to hunt new logos and run full-cycle enterprise deals across a 50–60-account territory, shape the upmarket playbook, and turn wins into repeatable market share. This team is set to quadruple, and you'll help define what that growth looks like.

WHAT YOU'LL DO

  • Prioritize a 50–60-account territory and build a self-sustaining pipeline with your SDR through outbound, ABM, partner co-sell, and AI tools, holding 3–4x quota coverage
  • Get to economic buyers (CTOs, CDOs, VPs of Data/AI) early, develop champions who sell for you internally, and multi-thread every deal
  • Lead discovery, co-build Business Value Assessments with Sales Engineering, and present the business case to the executives who sign
  • Close six- and seven-figure, multi-year deals through procurement, security review, and legal
  • Write account plans that turn a first land into a multi-department footprint
  • Feed competitive intel and deal learnings back to Sales Leadership, Product, and Marketing to sharpen the playbook

WHAT WE'RE LOOKING FOR

Enterprise hunting track record. You've consistently won larger enterprise deals with new logos through complex, multi-year enterprise sales cycles, and hit or beaten quota by building your own pipeline rather than expanding an inherited book.

Data ecosystem background. You've sold in the data ecosystem, observability, or infrastructure. You can talk pipelines, observability, and AI readiness with technical buyers without relying entirely on your SE.

Value selling and executive presence. You find the customer's real pain, develop champions, and build the business case. You use MEDDPICC to qualify deals, not as a substitute for a selling strategy. You have business conversations with C-level buyers about risk, reliability, and outcomes.

Builder mindset. You've succeeded in startup or scale-up environments without a mature playbook. You can create urgency around problems that don't have a budget line yet, and you take coaching fast without needing hand-holding.

Consumption model fluency (plus). You have experience with usage-based pricing, or a real interest in how forecasting works when deal size flexes with adoption.

THIS IS NOT FOR YOU IF

  • You need a mature playbook and steady inbound to hit your number
  • Your track record is mainly expanding existing accounts rather than hunting new logos
  • You're uncomfortable going deep with technical buyers alongside business stakeholders
  • You prefer transactional cycles over 3–6 month, multi-stakeholder enterprise deals

#LI-REMOTE

#BI-REMOTE

WHY MONTE CARLO

  • We created the data observability category, and we're doing it again with agent trust [link for members] — 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 [link for members]

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

Monte Carlo Named to G2's Best Software Products of 2026 [link for members]

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

We are super proud to be named the 2026 Best Place to Work by Built In! [link for members]

Beware of Imposter Recruiters and Job Scams

  • All official communication from our recruiting team will come from an [link for members] [link for members] 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: [link for members]

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 [link for members] before sharing any personal information.

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