At a Glance
- Tasks: Build and scale partner ecosystems across EMEA, driving strategic relationships and co-marketing initiatives.
- Company: Monte Carlo, a leading data observability platform empowering AI teams.
- Benefits: Inclusive culture, recognition for employee experience, and opportunities for growth.
- Other info: Dynamic environment with a focus on diversity and inclusion.
- Why this job: Join a fast-growing company and make a real impact in the AI transformation space.
- Qualifications: Experience in building partner ecosystems and strong relationship management skills.
The predicted salary is between 70000 - 85000 £ per year.
About Monte Carlo Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems.
As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human-guided agents to fully autonomous operations.
Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale.
Learn more at montecarlodata. com.
The EMEA Partner Manager will be responsible for building, accelerating, and scaling Monte Carlo’s partner ecosystem across the region at a pivotal stage of our global growth.
This role will serve as the in-region lead for cultivating strategic relationships with cloud providers, system integrators, and data consulting partners, enabling them to successfully position, sell, and deliver Monte Carlo’s Data Observability platform.
As the connective tissue between Monte Carlo’s field teams and the broader ecosystem, the Partner Manager will drive partner-sourced pipeline, expand co-sell motions with Snowflake, Databricks, AWS, SI’s, data catalog partners, and strengthen our presence in key EMEA markets.
- What You’ll Do
- Recruit, enable, and manage high-impact partners aligned to the 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
- You’re a Fit If You
- Bring a strong track record of building and scaling partner ecosystems, and turning alliances into measurable revenue impact
- Bring solid experience working with cloud platforms, system integrators, or data consultancies across EMEA
- Understand regional market dynamics and know how to tailor ecosystem GTM motions for local relevance and effectiveness
- Are skilled at developing and managing executive-level relationships with cloud and SI partner teams
- Know how to recruit, onboard, and enable partners to drive both partner-sourced and partner-influenced pipeline
- Have designed and executed joint GTM plays with Snowflake, Databricks, AWS, and the broader analytics ecosystem
- Have a proven history of running field events, co-marketing programs, and campaigns that generate a strong pipeline
- Are energized by fast-growing markets such as cloud data modernization, and view data observability as essential for customer trust and AI readiness
- Are motivated by scaling—whether processes, partner impact, or Monte Carlo’s presence across EMEA—through a high-leverage ecosystem motion
- You Stand Out If You
- Thrive in fast-moving, scrappy environments and can turn ambiguity into action
- Work highly independently, taking ownership and driving outcomes with minimal guidance
- Excel at coordinating cross-functional and partner teams, influencing without authority
- Bring a builder’s mindset, creating scalable partner processes, programs, and GTM motions
- Combine strategic thinking with hands-on execution, moving seamlessly between planning and doing
- Stay curious about the data and AI ecosystem and translate market insights into impactful partner plays
Come As You Are Equality is a core tenet of Monte Carlo's culture.
We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.
Monte Carlo is an equal-opportunity employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
We are proud to be recognized for our world-class employee experience
- Monte Carlo Named 2025 Databricks Data Governance Partner of the Year
- We were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter.
• See our G2 reviews here!
- Monte Carlo Named to G2's Best Software Products of 2026
- Monte Carlo was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025!
- We are super proud to be named the 2026 Best Place to Work by Built In!
- #J-18808-Ljbffr
Partner Manager, EMEA employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Partner Manager, EMEA
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Doist!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Partner Manager, EMEA
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Doist, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Doist
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Doist’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.