[Remote] Senior Analyst Relations Manager at Monte Carlo Data

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data Observability, AI, TechnologyIndustries

Requirements

5+ years of experience in Analyst Relations, with at least 3 years focused on enterprise developer tools or data infrastructure
Proven success leading Gartner evaluation cycles with measurable improvements in positioning
Strong executive presence with the ability to lead analyst conversations and influence senior stakeholders
Excellent narrative development, storytelling, and technical-to-business translation skills
Experience partnering cross-functionally with product, engineering, sales, and marketing leaders
Ability to manage complex, multi-workstream programs with a high attention to detail and clarity

Responsibilities

Develop and own the global analyst relations strategy, ensuring consistent, compelling positioning across major analyst firms
Lead high-impact analyst evaluations, managing end-to-end submissions, evidence packages, customer references, and analyst briefings
Build and nurture trusted relationships with influential analysts, maintaining an always-on cadence of briefings, inquiries, strategy updates, and roadmap discussions
Partner with product, product marketing, and executive leadership to align analyst narratives with our technical differentiation, market category, and long-term product vision
Drive competitive and category insight programs, synthesizing analyst research to provide actionable recommendations for product strategy, competitive positioning, and GTM alignment
Ensure internal readiness for analyst engagements, developing briefing materials, messaging frameworks, customer story packages, and spokesperson preparation
Collaborate closely with PR, content, and demand gen teams to amplify analyst mentions, reports, rankings, and key insights across campaigns, web, and GTM motions
Monitor industry shifts in data quality, data observability, data governance, and AI observability, proactively identifying opportunities for Monte Carlo to influence category evolution
Report on AR impact, developing executive dashboards, insights summaries, and recommendations that guide company strategy

Skills

Key technologies and capabilities for this role

Analyst RelationsGartnerForresterIDCGigaOm451 ResearchResearch StrategyAnalyst BriefingsCustomer ReferencesExecutive RelationshipsProduct Marketing

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is remote.

What experience is required for this role?

Candidates need 5+ years of experience in Analyst Relations, with at least 3 years focused on enterprise developer tools or data infrastructure, and proven success leading Gartner evaluation cycles.

What is the salary or compensation for this position?

This information is not specified in the job description.

What are the main responsibilities of the Senior Analyst Relations Manager?

The role involves developing and owning the global analyst relations strategy, leading analyst evaluations, building relationships with analysts, partnering with product and marketing teams, and reporting on AR impact.

What kind of company is Monte Carlo?

Monte Carlo is a leading data and AI observability platform, named a CBInsights AI100 company and described by Forbes as the 'New Relic for data', supporting prestigious companies and backed by top investors.

Monte Carlo Data

Provides end-to-end data observability solutions

About Monte Carlo Data

Monte Carlo Data helps businesses ensure the reliability of their data through end-to-end data observability, allowing real-time monitoring of data freshness, volume, schema, and quality. Their platform includes tools for incident detection and resolution, which assist analysts in addressing data quality issues efficiently. By integrating with communication tools like Slack and JIRA, it fits seamlessly into existing data management processes. The goal is to help businesses avoid the costs associated with bad data, making it suitable for data-dependent companies across various industries.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$229.6MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

201-500Employees

Benefits

Remote Work Options

Risks

Increased competition from Cribl and BigEye may impact market share.

Technical challenges in integrating with vector databases could affect performance.

New Chief Revenue Officer may lead to strategic shifts disrupting operations.

Differentiation

Monte Carlo offers end-to-end data observability for real-time data monitoring.

The platform integrates with tools like Slack, Teams, and JIRA for seamless communication.

Monte Carlo's root cause analysis speeds up data quality incident resolution.

Upsides

Growing demand for data observability tools boosts Monte Carlo's market potential.

Integration with vector databases opens new opportunities in AI model development.

Real-time data monitoring solutions are increasingly sought after by businesses.

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