Montecarlodata
Sr. Sales Engineer (Forward Deployed Engineer - Pre Sales)
Remote, Americas. Posted a month ago
The role
You will own the technical win inside strategic US accounts by running end-to-end technical sales cycles. You will design proofs of value, build technical champions, and help customers understand how to observe and improve agentic stacks.
What you will do
- Run technical sales cycles end to end.
- Own discovery, solution design, demos, POV execution, and technical close.
- Partner with Account Executives on commercial strategy.
- Sell into the agentic stack including Databricks and Snowflake.
- Design proofs of value with agreed success criteria.
- Build technical champions through briefings, workshops, and architecture reviews.
- Understand customer data and AI architecture deeply.
Required qualifications
- Hands-on experience with enterprise AI and agent deployments.
- Fluency in AI observability concepts including traces, spans, evaluations, and instrumentation.
- 3+ years in pre-sales, solutions engineering, or strategic technical account management within B2B AI-first companies and SaaS organizations.
- Experience in enterprise accounts navigating procurement, infosec reviews, and multi-stakeholder buying committees.
- Domain background in data, observability, agent trust, or agent-first products.
- Ability to whiteboard agent architecture and discuss ROI with executives.
- Self-directed and accountable.
Nice to have
- Modern data stack experience: Snowflake, Databricks, dbt, Airflow, BigQuery, or similar.
- Data observability or data quality experience.
- Experience growing existing enterprise accounts.
- Familiarity with MEDDPICC, Command of the Message, or similar sales qualification and value frameworks.
- Experience selling into enterprises across multiple countries and regulatory environments.
- Hands-on prototyping during a sales cycle.
Benefits
- Competitive compensation
- equity
- remote-first environment
About the company
Monte Carlo is the agent trust platform that autonomously observes, fixes, and continuously improves agents and the data that powers them. More than 400 enterprises rely on Monte Carlo.