Austin; Chicago; New York City; Palo Alto; San FranciscoNot specifiedSenior
Salary not listed
AWS
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Austin; Chicago; New York City; Palo Alto; San Francisco
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ABOUT THE ROLE
MongoDB is looking for a technical people-first, and execution-obsessed leader to lead the Recruiting Operations team. As the operational backbone of Talent Acquisition, the RecOps team establishes and maintains the foundational infrastructure that makes scalable, high-velocity hiring possible.
As a Senior Manager of Recruiting Operations, you are the visionary leader responsible for partnering with key stakeholders to build these crucial operational frameworks. You will drive the overarching vision, strategy, and execution across three core areas: process optimization and operational rigor, RecTech modernization and tooling strategy, and predictive talent intelligence and trusted data architecture. By establishing this infrastructure, you will empower TA to consistently find, interview, and achieve the best possible hiring outcomes for the organization. This leadership role demands an exceptional individual with strong technical aptitude, deep data and insights experience, and a proven track record of workflow redesign.
You will empower your team to continuously refine the systems, tools, and processes used to support recruiting and hiring teams, ultimately ensuring a scalable and successful hiring environment.
WHAT YOU'LL DO
Lead the RecOps Team: Drive the vision and strategy for the CoreOps team, aligning your roadmap with overall Talent Acquisition (TA) and business goals. You will take full ownership of the three core sub-pillars, taking an innovative and bold approach to identifying and executing large-scale transformation initiatives
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Own the TA Tooling Roadmap & RecTech Modernization: In partnership with HR Tech, establish and oversee the TA technology stack and vendor relationships. You will actively manage the TA tooling roadmap with our Recruiting Product Manager, leading the discovery, implementation, onboarding, offboarding, and systematic, data-focused evaluation of tools. This includes hands-on experimentation with automations and co-leading our AI strategy
Champion Predictive Talent Intelligence: Partner with People Analytics to advance the use of recruiting analytics and define key metrics of success. While you will oversee long-term data integrity and self-service reporting, you must also be highly hands-on—using Google Sheets and advanced formulas to manipulate data, generate actionable insights, and provide ad-hoc reporting
Optimize Processes & Workflows: Redesign core recruiting processes to improve operational rigor across the hiring lifecycle. You will act as a strategic thought partner, working closely with cross-functional People Team partners to ensure that your redesigned workflows operate seamlessly in line with other broader People processes and systems
Drive Governance & Compliance: Own TA Policy, Governance, and Compliance as a horizontal pillar across all initiatives and in alignment with our broader security, legal and people teams. You will define and oversee official guidelines, standards, and oversight (e.g., Global Recruiting Policy, Approval Hierarchies, Data Privacy) to guarantee control and adherence to all laws (e.g., EEO/OFCCP)
Act as a subject matter expert and strategic thought partner, utilizing deep knowledge of the internal and external hiring landscape to lead and drive key operational projects with cross-functional teams. This ensures solutions adapt to evolving business needs
Provide guidance and mentorship to your team, acting as an exceptional leader who plays an active role in guiding and upleveling individuals. You will foster the professional development of a relatively junior team while ensuring deliverables are aligned with the overarching TA strategy
WHAT YOU'LL BRING
Proven Leadership Experience: 5+ years of experience with a proven history of leading and executing complex recruiting operations initiatives, complemented by 3+ years of people management and excellent coaching and development skills
Technical Aptitude & Tooling Expertise: Deep expertise with core recruiting technologies (e.g., Greenhouse, Gem, Metaview). You have a demonstrated track record of managing a TA tooling roadmap, evaluating tool ROI systematically, sunsetting redundant platforms, and successfully experimenting with automations and AI in recruiting workflows
Workflow Redesign & People Team Alignment: Proven operational rigor and strategic planning aptitude. You are highly experienced at redesigning complex processes and collaborating deeply with People Team partners to ensure seamless system, policy, and process alignment
Hands-On Data Fluency: You don't just rely on BI tools like Tableau; you are highly proficient in Google Sheets and comfortable using formulas to independently pull, interpret, and communicate data for ad-hoc reporting and root-cause diagnostics
Independent & Autonomous Execution: You are an independent, results-driven leader who operates autonomously. You take full ownership of your team's execution, deliverables, and outcomes across all high-priority initiatives
Compliance Familiarity: Familiarity with TA Policy, Governance, and Compliance, with a focus on monitoring and addressing the evolving state of global laws and regulations
Strong Relationship Building: You have a track record of successfully partnering and influencing cross-functional partners, stakeholders, and varying levels of leadership. You are a strong relationship builder who enjoys communicating and collaborating effectively across a wide range of functional teams and audiences
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: $115,000—$198,000 USD
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati