Level

MongoDB

Startup & Venture Ecosystem Lead

MongoDB is hiring a Startup & Venture Ecosystem Lead in Los Angeles, New York and Palo Alto, United States. It pays $101k-$198k a year and Level rates it ; you can apply on MongoDB.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level classes it as a lead role.
  • MongoDB has 382 other open roles on Level.

AI in this role

We're looking for a highly strategic, growth-oriented VC & Startup Ecosystem Marketing Lead to build our partnership and marketing motion with top VCs across the globe, with the objective of driving adoption of MongoDB and Voyage AI among the startups building today's most important AI products. This is a 0 → 1 role, where you'll write the playbook for how MongoDB for Startups works with VCs and own the results. The role is currently an individual contributor position that will work closely with the MongoDB for Startups, MongoDB Ventures, Revenue Marketing, Partner Marketing, and Customer Advocacy teams. 

Position Expectations

  • Build and run our VC partnership and marketing motion: Develop relationships with high-value VCs across tiers, and build the playbook for engaging their portfolios, including programs, executive engagement, and founder-focused programming. Create the tiering and intake methodology that decides which VCs we prioritize, and scale it globally
  • Own referral performance: Set goals and report on referrals of top-tier startups from VCs, from first referral through activation and consumption
  • Serve as MongoDB's primary liaison to VC partners: Represent MongoDB to VC partners across all regions, and support flagship executive moments where partnership credibility matters
  • Build and run VC-focused events: Plan and deliver events for VC partners and their portfolio founders, such as founder dinners, portfolio workshops, and partner summits, in our hub cities and alongside flagship ecosystem moments. Work with the events and regional teams on execution, and tie each event to referral and pipeline outcomes
  • Align execution across teams: Work with Program Operations, Startup & Venture Marketing (acquisition and content), and regional teams so strategy translates into execution

The right candidate for this role will be:

  • 8+ years in partner-facing marketing or program building across technology or cloud partners, startups, VCs, or accelerators
  • An existing network among VCs and/or top technology partners that you can put to work from day one
  • A record of building pipeline or funnel motions with measurable results
  • Experience building programs from scratch with a small team
  • Executive presence, with experience representing a company at flagship ecosystem events or in front of senior stakeholders
  • Experience driving initiatives from strategy to measurable pipeline outcomes across stakeholders who don't report to you
  • Ability to work independently with a globally distributed team

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 75% of the Fortune 100 and AI-native startups, 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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273405598

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:$101,000—$198,000 USD

How we rate this

Startup & Venture Ecosystem Lead at MongoDB rates 29 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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