Monte Carlo Logo

Monte Carlo

Strategic Sales Development Representative

Reposted 2 Months Ago
In-Office or Remote
Hiring Remotely in New York, NY, USA
Junior
In-Office or Remote
Hiring Remotely in New York, NY, USA
Junior
Qualify inbound leads and outbound to strategic prospects, triage against ICP, build the inbound playbook with marketing, use AI tools to research and personalize outreach, prioritize pipeline, and convert high-quality prospects into opportunities.
The summary above was generated by AI

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.

 

About the role:

We're looking for a Strategic SDR who will help build a pipeline at Monte Carlo. You'll triage inbound leads against our ICP, outbound to our most strategic prospects, follow up fast, and convert high-quality prospects into opportunities for our sales team. This isn't just a lead-routing role — you'll help build the inbound playbook from scratch, working hand in hand with marketing to hit our pipeline goals.

AI is a core part of how you'll work. You'll use AI tools daily to research accounts, personalize outreach at scale, prioritize your queue, and move faster than a traditional SDR ever could. We want someone who sees AI as a multiplier, not a shortcut.

We're Excited About You Because

  • You bring 1+ years of experience in pipeline generation or a process-heavy role.

  • You've thrived in an early-stage or ambiguous environment where the playbook didn't exist yet.

  • You're comfortable with complex, consultative sales cycles, and you know how to ask the right questions before you ever pitch anything.

Cultural Characteristics

  • Ownership. You're intrinsically motivated to build something special. High accountability, bias for action, and you go find the answers when nobody has them.

  • Prioritization. You can structure a process and stay disciplined about what actually moves the needle.

  • Integrity.

  • Worthy of trust, honest about failures, acts in a way that makes us proud of the journey.

  • Customer orientation. You lead with deep empathy and a genuine focus on adding value, not just booking meetings.

  • Beat the odds. You set big goals and hold yourself to a high standard to overachieve them. You fail forward — own your mistakes and help the company learn from them.

  • Speed. You have an urgent need to get results and learnings as fast as possible.

  • AI forward

#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.

Monte Carlo New York, New York, USA Office

Monte Carlo New York Hub Office

27 E 28th St, Suite 1656, New York, NY, United States, 10016

Similar Jobs at Monte Carlo

2 Days Ago
Remote
US
140K-180K Annually
Senior level
140K-180K Annually
Senior level
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Own post-sale technical deployments for enterprise customers, configuring monitors, alerts, and integrations in Snowflake and Databricks environments. Write production Python, SQL, and API integrations, drive customer adoption and measurable value, expand usage across teams and use cases, and provide feedback to Product and Engineering. Help establish the forward-deployed engineering playbook while advising data engineering teams and executives.
Top Skills: AirflowDatabricksDbtFivetranLookerPythonRest ApisSnowflakeSQL
17 Days Ago
Remote
United States
Senior level
Senior level
Big Data • Cloud • Software • Generative AI • Big Data Analytics
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.
Top Skills: AICollibraData ObservabilityDatabricksSnowflake
25 Days Ago
Remote
United States
260K-300K Annually
Senior level
260K-300K Annually
Senior level
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Own and expand a portfolio of 15–25 enterprise accounts, generating approximately $1.2M in annual expansion quota. Prospect within existing customers, identify new departments and use cases, build executive relationships, run business and quarterly reviews, and close complex 6–12 month enterprise deals. Partner with sales engineers, customer success, and leadership while creating account plans, developing pipeline, and presenting Monte Carlo’s data and AI reliability platform to technical and executive buyers.
Top Skills: Ai InfrastructureAnthropic ClaudeData ObservabilitySnowflake

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account