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MongoDB

Recruiting Intelligence Program Manager

Reposted 15 Days Ago
Easy Apply
Remote or Hybrid
2 Locations
62K-121K Annually
Senior level
Easy Apply
Remote or Hybrid
2 Locations
62K-121K Annually
Senior level
The Workforce Operations Manager will align finance and recruiting through predictive modeling, data analysis, and process optimization, influencing senior leadership on hiring goals.
The summary above was generated by AI

This is a high-impact, strategic role designed for a professional to bridge the gap between Finance, Recruiting, and Business Operations. As the Recruiting Intelligence Program Manager, you will serve as the primary advisor to the Director of Recruiting Operations on the feasibility, health and execution of our global hiring plan. 

You will move the organization from reactive headcount tracking to a Recruiting Intelligence model. You will serve as the primary advisor to the Director of Recruiting Operations on the health of the recruiting funnel, ensuring our hiring velocity is optimized and our recruiters are allocated to the highest-impact roles.

This role requires a blend of recruiting and data analysis acumen, operational auditing and the ability to influence senior leadership through data-driven storytelling. You will help to ensure that hiring goals are backed by a realistic operational plan.

Key Responsibilities and Focus Areas

Recruiting Intelligence & Process Optimization

Strategic Reconciliations: Develop and own foundational recruiting forecast and capacity models. You will serve as the operational point of contact to FP&A analysts to ensure that hiring forecasts are aligned with Recruiting’s operational reality.

Capacity Governance: Establish and maintain the standards for recruiting bandwidth based on role complexity. You will advise the RLT on when to "throttle" hiring or reallocate headcount based on real-time recruiter bandwidth and pipeline health.

Root Cause Analysis: Conduct deep-dive audits into the recruiting lifecycle. You will identify specific friction points; such as late-stage requirement changes, interviewer misalignment or funnel drop-offs and quantify their impact on total hiring velocity.

Productivity Modeling: Analyze activation dates and historical time-to-fill data to provide high-accuracy projections for start dates, enabling Finance to more accurately develop forecasts and resource allocation.

Operational Advisory: Act as an internal consultant on hiring efficiency and resource allocation. When data indicates a decline in productivity, you will diagnose the cause and propose specific structural or process improvements to restore velocity. You will lead the feasibility review for strategic hiring initiatives to advise the RLT on resource requirements.

Executive Alignment & Change Management

Stakeholder Management: Participate in regular meetings with FP&A, HRBPs and Recruiting Leadership. By helping the Director of Recruiting Operations drive cross-functional workstreams, you will help ensure alignment on the hiring plan and allow Recruiting Leadership to focus on execution.

Strategic Influence: Use data to drive accountability across the business. You will be responsible for advising the Director of Recruiting Operations on hiring behaviors and roadblocks, ensuring they understand the downstream effects of talent decisions.

Required Qualifications
  • 8+ years of professional experience, including working in a highly analytical and consultative role (e.g., Talent Intelligence, Recruiting Operations, FP&A, or Workforce Strategy)
  • Advanced Data Modeling: Expert-level proficiency in Excel or Google Sheets. You must be able to build complex, multi-scenario models and translate technical findings into clear executive summaries
  • Consultative Expertise: Demonstrated ability to influence senior stakeholders by presenting data-backed recommendations and driving strategic pivots
  • Operational Literacy: A strong understanding of talent acquisition, workforce planning and headcount management. Experience in a high-growth corporate environment is essential
Preferred Qualifications
  • Familiarity with the full recruiting lifecycle and talent acquisition systems (e.g., Greenhouse, Workday)
  • Experience professionalizing an existing operational framework from an initial prototype to a global standard
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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 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: 1273405919

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:
$62,000$121,000 USD

MongoDB Austin, Texas, USA Office

3711 S MoPac Expy, Austin, TX, United States, 78735

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