Some roles can’t be filled with a standard search. Talent Discovery is the part of MongoDB’s Talent Acquisition team that finds and builds relationships with the people we want to hire. As a Talent Sourcer on the Talent Discovery team, you’ll work on our hardest-to-fill, niche, and business-critical roles, and build talent pipelines for the roles we hire for again and again. This work is deep research and real conversations: you’ll dig into adjacent markets and unconventional talent pools, find people who aren’t looking, and earn their interest in MongoDB.

You’ll partner with recruiters and hiring managers to understand what a search really needs, build a targeted plan for finding it, and hand off strong, well-documented slates and pipelines as candidates move into formal interviews.

This role can be based out of our office or remotely in the United States.

In this role, you will

Own and drive the sourcing plan. Turn hiring needs into a clear search strategy, align stakeholders on the target profile, and lead the approach from there

Map talent markets. Use tools like Gem, SeekOut, LinkedIn Recruiter, GitHub, and X-ray search to research scarce talent pools and track talent movement, including competitors, adjacent markets, and emerging companies and geographies.

Reach out to candidates with intent. Write personal, informed outreach that reflects each person’s background and what would motivate them, not keyword matching.

Build long-term relationships. Engage and nurture passive candidates over time, so MongoDB is top of mind when the right role opens.

Qualify beyond the resume. Run conversations that surface what motivates each candidate, and keep them informed and interested as searches progress.

Hand off with full context. Present qualified slates and pipelines to recruiters and hiring managers, including each candidate’s background, motivations, fit, and history.

Share what you learn. Bring market insight back to the recruiting team, such as where talent is and what competitors are doing.

Keep the CRM/ATS clean. Keep search progress, pipeline health, and relationship history visible to the whole team.

You are someone who has

2 years of experience in sourcing, research, or recruiting, ideally including niche or hard-to-fill searches

Sharp research instincts and the confidence to take an unclear hiring need and shape it into a clear search strategy

A track record of engaging passive candidates and sustaining those relationships over time

Working knowledge of sourcing and market-intelligence tools (e.g., Gem, SeekOut, LinkedIn Recruiter, GitHub, X-ray search, or equivalents)

Experience using AI in sourcing and research, and good judgment about where it helps and where human judgment has to lead

Excellent written and verbal communication, and the ability to build trust with someone who isn’t looking for a job

Strong attention to data hygiene and follow-through

A collaborative mindset: you’ll work closely with recruiters and hiring managers, and you want to see your work turn into hires

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, 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: 4273617763

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: $48,000 — $94,000 USD