
Artificial Intelligence • Enterprise • SaaS
Monte Carlo is a data observability company that provides a comprehensive platform to ensure reliable data and AI delivery. Their services include machine learning-enabled data anomaly detection, incident triaging, and root cause resolution to maintain high data quality. They offer data quality monitoring, testing, and cost optimization tools for cloud infrastructures, enabling companies to deploy and manage data with confidence. Monte Carlo is tailored for verticals such as financial services, healthcare, media, and technology, helping organizations to self-serve, maintain dashboard integrity, and launch reliable data products. Their solutions aim to eliminate data downtime and enhance operational efficiency across enterprise data landscapes.
51 - 200 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Yesterday

Artificial Intelligence • Enterprise • SaaS
Monte Carlo is a data observability company that provides a comprehensive platform to ensure reliable data and AI delivery. Their services include machine learning-enabled data anomaly detection, incident triaging, and root cause resolution to maintain high data quality. They offer data quality monitoring, testing, and cost optimization tools for cloud infrastructures, enabling companies to deploy and manage data with confidence. Monte Carlo is tailored for verticals such as financial services, healthcare, media, and technology, helping organizations to self-serve, maintain dashboard integrity, and launch reliable data products. Their solutions aim to eliminate data downtime and enhance operational efficiency across enterprise data landscapes.
51 - 200 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
• Partner with AEs, TAMs, and Sales Leaders to anchor opportunities in clear business value. • Lead discovery with executive stakeholders (C-suite, VP Data/Analytics/Engineering). • Build bespoke financial models quantifying benefits (e.g., incident reduction, productivity gains, risk mitigation, AI readiness). • Support high-stakes executive presentations and deal reviews with compelling, data-driven narratives. • Measure and communicate realized customer value (baseline analysis, KPI tracking, QBR content). • Create value frameworks for renewals and multi-year proposals. • Build templates, benchmarks, and self-serve tools to support value delivery at scale. • Coach GTM teams on value-selling and quantitative storytelling. • Develop reusable assets — ROI models, playbooks, vertical-specific value stories. • Collaborate with Marketing to develop case studies, webinars, and thought leadership content around business value. • Work with regional GTM leaders to prioritize value consulting support. • Surface insights to Product, Marketing, and Sales to influence messaging and roadmap. • Continuously refine and scale the value-selling motion across the company.
• 5+ years in management consulting, value consulting, sales strategy, or business transformation. • 4+ years in customer-facing, value/ROI-oriented roles at enterprise software or data/analytics companies. • Experience building financial models and influencing executive-level decisions. • Strong quantitative and modeling skills (Excel/Sheets, scenario analysis). • Ability to leverage AI tools for scaling value assets (e.g. GPT, Perplexity, Anthropic). • Excellent communication skills and executive-level storytelling. • High business acumen and a consultative, collaborative approach working across Sales, SE, CS, Product, and Marketing. • Comfort contributing in fast-moving, high-ownership environments; builder mentality to create frameworks and repeatable processes. • Passion for data reliability, cloud modernization, and AI readiness. • Nice to Have: Experience with data, analytics, ML/AI, or observability. • Familiarity with the modern data stack (Snowflake, Databricks, AWS, etc.). • MBA or advanced degree.
• Health insurance • Retirement plans • Paid time off • Flexible working arrangements • Professional development • Employee experience recognition
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