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MongoDB

Marketing Lead

MongoDB is hiring a Marketing Lead in London, United Kingdom. Level rates it ; you can apply on MongoDB.

Level's read on this job

  • Little AI ●○○○ is how Level rates this marketing role: aI is not part of the work.
  • Level classes it as a lead role.
  • MongoDB has 376 other open roles on Level.
  • Posted in the last few days.

AI in this role

We’re looking for a highly analytical, growth-oriented Lead, Startup & Ventures Marketing (Acquisition & Partnerships) - EMEA to drive qualified applications to MongoDB for Startups from the founders building today’s most important AI products across Europe, the Middle East, and Africa.

This role owns the top of the funnel for MongoDB for Startups in EMEA. You will build and run the partner, university, and paid-campaign channels that deliver qualified applications across the region’s startup hubs, in partnership with the global startup marketing team, Growth Marketing, and regional teams. You will be accountable for regional application volume and quality, and the role sits at the intersection of partnerships, community, and growth marketing. It suits someone who is equally comfortable analyzing funnel data and building relationships with accelerators, universities, and corporate partners.

This role can be based out of our London office or remotely in the EMEA region.

Position Expectations

  • Own EMEA application volume: Set regional goals for qualified applications to MongoDB for Startups, aligned to global targets, report on performance by channel and country, and continuously optimize toward the highest-volume, highest-quality mix
  • Drive paid and owned acquisition: Work cross-functionally with Growth Marketing and Acquisition to plan and execute paid campaigns and Atlas-user promotions in EMEA that convert into program applications, localized for priority markets and compliant with regional privacy requirements
  • Run accelerator and incubator partnerships: Launch and manage new programs, marketplace listings, bulk-deal administration, referral tracking, and co-marketing with accelerators and incubators across EMEA
  • Manage corporate partner programs: Build and run scalable referral programs with corporate partners in the region, including onboarding, tracking, and performance reporting
  • Own university relationships: Partner with Academia to build student-to-founder pipelines across EMEA, including hackathons, and own the "Experimentor" tier for students and hands-on builders
  • Build a university ambassador program: Design, launch, and scale an EMEA ambassador program that turns campus communities into a repeatable source of applications
  • Align execution across teams: Work with Program Operations, Lifecycle, Partner Marketing, and regional teams, including other regional startup marketing managers, so that volume driven at the top of the funnel translates into activation downstream

The right candidate for this role will be:

  • Have 5+ years in growth, acquisition, partner, or program marketing across technology, cloud, developer, or startup audiences
  • Have a record of owning funnel volume goals, with measurable results from paid campaigns and partner-driven channels
  • Have experience running partner programs (accelerators, incubators, corporate, or marketplace), including referral tracking and co-marketing
  • Have experience building programs from scratch with a small team, including community or ambassador programs
  • Possess familiarity with the EMEA startup ecosystem, ideally with relationships across accelerators, universities, VCs, and corporate partners
  • Be comfortable running experiments, interpreting funnel data, and shifting budget toward what works
  • Be able to work across EMEA markets and time zones, with fluent English and ideally another regional language
  • Be able to work independently with a globally distributed team
  • Be able to travel across EMEA for in-person events, hackathons, and partner meetings

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4273615181

How we rate this

Marketing Lead at MongoDB rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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