Job Overview
Location
San Francisco
Job Type
Full-time
Category
Sales
Date Posted
May 16, 2026
Full Job Description
đź“‹ Description
- • Drive consultative and solution-based sales strategies to generate pipeline, secure new logos, and expand existing accounts among Global 2000 enterprises within the West Coast region.
- • Lead end-to-end discovery processes to collect Business Value Assessment (BVA) inputs and co-own the development of BVA presentations with sales engineering teams.
- • Present BVA findings and business outcomes directly to CTOs, data leaders, and other C-suite executives to align Monte Carlo’s platform with enterprise AI reliability needs.
- • Build and maintain executive-level relationships with key decision-makers at target accounts including Fortune 500 companies such as Pepsi, Fox, General Mills, and Amgen.
- • Leverage account-based marketing (ABM) support to identify and prospect into target accounts focused on data and AI infrastructure.
- • Research, qualify, and generate new business opportunities to build and manage a robust, scalable sales funnel with clear stage progression and forecast accuracy.
- • Close six and seven-figure software cloud deals using consultative selling techniques, with a focus on complex technical products serving data engineering and AI teams.
- • Collaborate cross-functionally with sales engineering, marketing, product, and partnerships teams to align messaging, overcome objections, and accelerate deal velocity.
- • Act as a trusted advisor and thought leader in the data observability and AI reliability space, translating technical capabilities into measurable business outcomes for enterprise clients.
- • Utilize proven sales methodologies such as MEDDPICC and Challenger framework to structure deals, navigate complex buying committees, and overcome competitive displacement.
- • Operate in a fast-growing, high-ambiguity sales environment where processes are evolving, requiring agility, initiative, and the ability to self-organize.
- • Scale win patterns from key accounts across verticals to inform broader market expansion and contribute insights back to product and marketing teams.
- • Master Monte Carlo’s consumption-based pricing model and articulate its value proposition to customers transitioning from traditional licensing models.
- • Own the full sales cycle from initial outreach through contract negotiation and closure, ensuring seamless handoff to customer success for onboarding.
- • Maintain accurate CRM documentation and forecasting discipline to support company-wide revenue planning and operational visibility.
🎯 Requirements
- • 7+ years of SaaS sales experience with 5+ years in closed-won sales roles
- • Proven track record of closing six and seven-figure software cloud deals with Global 2000 companies
- • Experience selling complex, technical products to data engineering and AI teams
- • Demonstrated success in early-stage or highly ambiguous sales environments
- • Experience selling to C-suite executives with strong listening and consultation skills
- • Experience with target account selling, solution selling, and/or consultative sales techniques
🏖️ Benefits
- • Opportunity to join a fast-growing sales team poised to quadruple in the next few years
- • Work with enterprise clients such as Pepsi, Fox, General Mills, and Amgen
- • Recognized as #1 Data Observability Platform by G2 for four consecutive quarters
- • Named 2026 Best Place to Work by Built In
- • Equal opportunity employer with commitment to inclusive culture and diversity
- • Remote work flexibility with preference for West Coast US base
Skills & Technologies
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About Monte Carlo Data, Inc.
Monte Carlo Data, Inc. provides a data observability platform that monitors data pipelines, detects anomalies, and alerts teams to data quality issues across warehouses, lakes, and ETL systems. It automates lineage tracking, impact analysis, and root-cause investigation to reduce downtime and improve trust in analytics and machine-learning outputs. The company serves data engineers, analysts, and data scientists in finance, e-commerce, healthcare, and technology sectors, integrating with Snowflake, Databricks, BigQuery, Redshift, and Airflow to deliver real-time reliability metrics and governance controls.
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