Braun Board

Enterprise Sales Manager, Americas

Monte Carlo · Remote · US

Base
Not disclosed
OTE
$360K–$400K
Posted
8d ago

Still open · checked 1h agoon Monte Carlo's careers page

What Monte Carlo sells

Watches AI agents so teams can trust them

A company that runs AI agents often can't tell when they make a mistake, because the agents work out of sight. This product keeps watch over the data and decisions the agents use. When something goes wrong, the team can see what happened and fix it, so they can trust the agents with real work.

In plain English, from their own job posts. Something wrong? Tell us

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The Braun Read

Worth a look

Solid on the basics. Use the first call to fill in the gaps.

Pay
OTE is listed. Ask what the base is.
Transparency
Shares 1 of 5: quota, attainment, deal size, territory, sales cycle.
Pipeline
A mix of self-sourced pipeline and inbound or SDR help.
Time on market
Open 7 days.
Company hiring
Ramping up: posted 5 sales roles in the last 30 days.

Red flags

None spotted.

Green flags

  • Publishes OTE. It tells you the on-target earnings up front. Most postings don't.

Based only on what the posting says. Flags are a starting point for your first call, not a final judgment.

Questions to ask on the first call

Built from what this posting leaves out. How they answer tells you as much as what they say.

  1. 1.

    What percentage of fully ramped reps hit quota last year?

    OTE is what you could earn. This is how likely you are to earn it.

  2. 2.

    What's the base, and how is the rest paid out?

    OTE without a base doesn't tell you what you can count on.

  3. 3.

    What's the annual quota, and how was it set?

    A quota built from real data is a target. Otherwise it's a hope.

  4. 4.

    How long is ramp, and what's the quota during it?

    Full quota on day one means you start behind.

  5. 5.

    What's a typical deal size and sales cycle?

    Together they tell you how many deals it takes to hit your number.

  6. 6.

    Why is this role open? Did someone leave, or is it new?

    New headcount is growth. A replacement means someone left. Ask why.

When the offer comes

Save these for later. They land better once they've said yes to you.

  1. 1.

    Can I see the full comp plan in writing, including clawbacks and accelerators?

    What's in writing is what gets paid. Read it before you sign.

  2. 2.

    Can I see the actual comp distribution for the team last year, not just the OTE?

    The spread shows what most reps really take home. OTE is just the target.

  3. 3.

    I'd be walking away from earned commission to join. Is there room for a sign-on bonus to help cover that?

    Leaving money behind is a fair reason to ask. The worst answer is no.

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The role

Lead a 4-to-6-rep enterprise new-logo team selling agent observability software to companies with 1,000–7,500 employees. Coach outbound prospecting, multi-threading, and MEDDPICC; remote, Americas.

Enterprise · New Logo

Selling motion

New Logo

Who you're selling to

Buyer:
Data and AI teamsIn their words: “Monte Carlo empowers data and AI teams to ship trusted AI at scale”
Company size:
Enterprise

Pipeline expectations

A mix of self-sourced pipeline and inbound / SDR support.

Compensation

$360K–$400K OTE

What is not disclosed

This posting doesn't tell you:

  • Base salary
  • Quota size
  • Quota attainment
  • Average deal size
  • Sales cycle length

The questions above cover the big ones.

Full posting
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 https://montecarlo.ai THE ROLE We're hiring an Enterprise Sales Manager to lead our Enterprise Americas team — selling into companies with 1,000 to 7,500 employees. As enterprises move AI agents into production, these deals are getting bigger and more cross-functional. We need a leader who can build a repeatable new-logo engine and coach reps to win multi-threaded, executive-level deals. WHAT YOU'LL DO - Lead the Enterprise Americas team's forecast, pipeline coverage, and new-logo bookings as it grows from 4 to 6 reps. - Build a consistent outbound culture: inspect pipeline creation weekly, coach messaging, and set the standard for how the team prospects into enterprise accounts. - Coach reps inside live deals on discovery, multi-threading, executive access, and deal navigation — on the calls, not just in the forecast review. - Run disciplined deal inspection and qualification (MEDDPICC, value selling) and teach it so it sticks. - Recruit 1–2 AEs from your own network, and make every rep on the team measurably better. - Partner with SEs, SDRs, marketing, and CS to shape the enterprise motion as it scales. WHAT WE'RE LOOKING FOR - Hunter turned leader. You were a top new-logo AE, got promoted into first-line management, and have 2–5 years leading enterprise sellers. You still know how to run a deal and you want the next leadership step. - Playbook pedigree. You were trained inside a disciplined, KPI-driven enterprise SaaS org — and can teach MEDDPICC, Command of the Message, or value-based discovery. - Pipeline discipline + builder instinct. You've created a pipeline from scratch rather than inheriting a mature patch, and you're comfortable building a process where none exists. - Talent magnet. You've hired strong reps, developed them, and have people who'd follow you. - Competitive, low ego, coachable. High standards, hands in the work, takes feedback well. Data, infra, or AI experience is a plus, not a requirement. THIS IS NOT FOR YOU IF - You want to stay an individual contributor — this is a full-time leadership seat. - You'd rather lead from the forecast call than from inside the deal. - You need a fully built playbook handed to you. #LI-REMOTE #BI-REMOTE WHY MONTE CARLO - We created the data observability category, and we're doing it again with agent trust https://montecarlo.ai/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 https://www.montecarlodata.com/blog-2025-databricks-data-governance-partner-of-the-year/?utm_source=chatgpt.com We were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter. See our G2 reviews here! https://www.g2.com/reports/grid-report-for-data-observability-spring-2025.embed?featured=monte-carlo&secure%5Bgated_consumer%5D=7d02ec0a-326a-40fa-8a44-fab49f67c5f1&secure%5Btoken%5D=6b3c29d18ea50ae0005295b5c63994f97c01cae81bbd3f9ea6abff73c40fde51&utm_campaign=gate-2063400 Monte Carlo Named to G2's Best Software Products of 2026 https://www.montecarlodata.com/blog-monte-carlo-g2-best-software-product-of-2026/ Monte Carlo was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025! https://www.dbta.com/Editorial/Trends-and-Applications/Trend-Setting-Products-in-Data-and-Information-Management-for-2025-167115.aspx We are super proud to be named the 2026 Best Place to Work by Built In! https://builtin.com/awards/us/2026/best-places-to-work Beware of Imposter Recruiters and Job Scams - All official communication from our recruiting team will come from an @montecarlodata.com http://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 recruiting@montecarlodata.com before sharing any personal information.
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