Senior Account Executive, Key Accounts
Company shown to members 🔒 · Remote · US only
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First recorded by Psst: 16 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
- 5+ years required
- Where you can live
- US only
- Skills and tools
- salesforce, hubspot, renewals, quota, troubleshooting
- Job type
- Full-time
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Job details
- Where you can work
- United States
- Employment type
- Full-time
- Advertised pay
- $260K–300K/yr
- Experience
- 5+ years required
- Employer publication date
- 15 October 2026
- First recorded by Psst
- 16 October 2026
- Last checked at the source
- 10 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
We're hiring a Senior Account Executive, Key Accounts, to own a book of existing enterprise customers and grow it. Most of our customers start with one data team. Your job is to take Monte Carlo from that first team into new business units, new use cases, and new budget across the rest of the org. As enterprises put AI agents into production, data and AI reliability is becoming a board-level problem, and our customers are ready to expand. This is a senior AE seat, and we're looking for a hunter: you'll expand within our existing accounts, landing new teams, business units, and budget, not managing renewals.
WHAT YOU'LL DO
- Own a book of 10-15 of our most strategic logos (~$5M ARR) and carry a ~$1.2M annual quota, roughly six expansion deals at ~$325K each.
- Map each account's org chart and break into the teams, business units, and budgets we're not in yet.
- Build pipeline yourself: prospect inside your accounts, multi-thread from practitioner to exec sponsor, and turn a single champion into many.
- Run EBRs and QBRs that tie Monte Carlo to business outcomes, and build account plans that show where the next deal is and where the risk is.
- Drive 6–12 month enterprise cycles from first signal to close, working with SEs, CS, and sales leadership.
- Get on-site with customers and own the room.
WHAT WE'RE LOOKING FOR
Expansion hunter. 5+ years in a quota-carrying closing role with consistent attainment and sustained tenure. You've grown existing accounts by landing in new departments and business units, and you can walk us through specific deals where you found the new buyer and closed it. Renewals and CS-handed upsells don't count.
Data-space seller. You've sold data or infrastructure products to technical buyers. You can hold your own with technical data teams and turn reliability into a business case a CFO signs.
Pipeline creator. You go find pipeline instead of waiting for it. You're comfortable on the phone, relentless about multi-threading, and you see expansion paths where other reps see a renewal date.
Executive presence. Executives take your EBRs seriously. You build rigorous account plans, escalate early, and run complex multi-stakeholder deals with confidence.
THIS IS NOT FOR YOU IF
- You prefer managing accounts and renewals over hunting new business inside them.
- You haven't sold data or infrastructure products and aren't interested in learning a technical buyer.
- Your experience is mostly transactional or SMB, without multi-stakeholder enterprise cycles.
- You've changed companies every year and can't point to a sustained run in one seat.
#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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