[Remote] Partner Manager, EMEA at Monte Carlo Data

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data AI, SaaSIndustries

Requirements

Strong track record of building and scaling partner ecosystems, turning alliances into measurable revenue impact
Solid experience working with cloud platforms, system integrators, or data consultancies across EMEA
Understanding of regional market dynamics and ability to tailor ecosystem GTM motions for local relevance and effectiveness
Skilled at developing and managing executive-level relationships with cloud and SI partner teams
Experience recruiting, onboarding, and enabling partners to drive partner-sourced and partner-influenced pipeline
Proven history of designing and executing joint GTM plays with Snowflake, Databricks, AWS, and the broader analytics ecosystem
Experience running field events, co-marketing programs, and campaigns that generate strong pipeline
Energized by fast-growing markets such as cloud data modernization, viewing data observability as essential for customer trust and AI readiness
Motivated by scaling processes, partner impact, or presence across EMEA through high-leverage ecosystem motion
Thrive in fast-moving, scrappy environments, turning ambiguity into action (stand out)
Work highly independently, taking ownership and driving outcomes with minimal guidance (stand out)
Excel at coordinating cross-functional and partner teams, influencing without authority (stand out)
Builder’s mindset, creating scalable partner processes, programs, and GTM motions (stand out)
Combine strategic thinking with hands-on execution, moving seamlessly between planning and doing (stand out)
Stay curious about the data and AI ecosystem and translate market insights into impactful partner plays (stand out)

Responsibilities

Recruit, enable, and manage high-impact partners aligned to EMEA revenue goals
Build joint go-to-market plays with cloud and analytics ecosystems
Generate and accelerate partner-sourced and influenced opportunities
Execute co-marketing programs and field events with ecosystem partners
Drive executive relationships across cloud and SI alliance teams
Cultivate strategic relationships with cloud providers, system integrators, and data consulting partners
Enable partners to successfully position, sell, and deliver Monte Carlo’s Data Observability platform
Drive partner-sourced pipeline and expand co-sell motions with Snowflake, Databricks, AWS, SIs, data catalog partners
Strengthen presence in key EMEA markets

Skills

Key technologies and capabilities for this role

Partner ManagementGo-to-Market StrategyEcosystem BuildingCo-SellCo-MarketingPipeline GenerationExecutive RelationshipsSnowflakeDatabricksAWSCloud ProvidersSystem IntegratorsData Observability

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What experience is required for the Partner Manager role?

Candidates need a strong track record of building and scaling partner ecosystems with measurable revenue impact, experience working with cloud platforms, system integrators, or data consultancies across EMEA, and skills in developing executive-level relationships and joint GTM plays with partners like Snowflake, Databricks, and AWS.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the Partner Manager role involve in terms of company culture or environment?

This is a highly strategic, outward-facing role in a fast-growing company focused on data observability, involving building partner ecosystems, influencing cross-functional stakeholders, and scaling processes at a pivotal stage of global growth.

What makes a strong candidate for this Partner Manager position?

A strong candidate has proven experience turning alliances into revenue, understands EMEA market dynamics, excels at executive relationship management, and is energized by scaling partner impact in cloud data modernization and data observability.

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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