채용
Benefits & Perks
•Professional development budget
•401(k) matching
•Team events and activities
•Competitive salary and equity package
•Generous paid time off and holidays
•Comprehensive health, dental, and vision insurance
•Learning
•Equity
•Healthcare
Required Skills
Python
PostgreSQL
React
The role of Senior Employee Learning Manager has a critical role to play in the next phase of MongoDB's growth. You will help identify critical skills of the future, design innovative learning experiences and ensure that our employees are continuously developing the capabilities they need to succeed in a fast-changing environment. You will design, build, and scale learning programs that will enable all employees to live our values, serve our customers, and ultimately strengthen culture and accelerate performance. This role is part of the Culture, Talent, and Development (CTD) leadership team. As a team, we are responsible for culture and talent building programs, including leadership development, employee learning, talent management, engagement, listening, and inclusion.
We are looking to speak to candidates who are based in Austin for our hybrid working model.
Job Responsibilities include but are not limited to:
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End-to-end ownership of learning projects to further the company’s culture and people objectives, e.g., increase effectiveness of employee onboarding through a comprehensive strategy, including training, tooling, and measurement
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Identify and implement opportunities for AI-assisted solutions and AI agents to scale learning solutions
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Own the management and optimization of our Learning Management System (LMS) to facilitate scalable and impactful asynchronous learning experiences
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Develop, implement, and continuously improve personalized learning pathways and content to meet diverse learner needs while ensuring alignment with organizational goals and initiatives
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Collaborate with Business Leaders and HRBPs to deliver solutions to accelerate employee growth and development
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Create scalable solutions (including learning experiences, playbooks, tools, comms cascades, etc.) to equip employees with the knowledge, skills, and mindsets to fulfill our Leadership Commitment, e.g., creating a learning journey for employees to strengthen their demonstration of our Leadership Principles
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Partner closely with Culture, Talent & Development team colleagues to embed our Leadership Commitment across the employee lifecycle, e.g., partnering with Talent Management to align our career progression framework and talent processes to fulfil the Leadership Commitment
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Foster operational excellence across our learning programs to optimize efficiency, scalability and impact, while ensuring we are maximizing organizational benefit through participation and learner outcomes
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Refine our learning measurement strategy to evaluate and measure the effectiveness and engagement of learning programs, using insights to continually evolve and iterate on solutions
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Manage relationships with stakeholders across all levels, ensuring that the project team and stakeholders have an adequate understanding of ownership, timelines, resource needs, risks, constraints, and dependencies
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Ensure alignment of deliverables, project priorities and resources with business objectives and other People Team initiatives
Required Qualifications:
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7+ years of professional experience
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5+ years of experience leading cross-functional HR projects
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3+ years of experience in designing and delivering adult learning experiences
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Demonstrated ability to drive impact on business objectives
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Experience in managing learning programs on LMS/LXP (Docebo preferred)
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Experience customizing strategies and deliverables to meet the needs of individual business units, including right sizing to meet business needs
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Strong consulting skills (e.g., communication, influencing, facilitation and stakeholder management skills)
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Demonstrated ability to measure & analyze learning outcomes
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Strong track record of delivering highly impactful solutions in fast-paced, high-growth environment
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Excellence in written communication and project documentation
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Excellence in communicating and presenting, especially with executive audiences
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Strategic mindset balanced with a willingness to be hands on
Preferred qualifications:
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Prior experience as an HR Business Partnering
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Experience leveraging AI-supported platforms to scale and optimize training initiatives
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 nearly 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: 4263321183
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:$76,000—$149,000 USD
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About MongoDB

MongoDB
PublicMongoDB, Inc. is an American software company that develops and provides commercial support for the source-available database engine MongoDB, a database for unstructured data.
5,000+
Employees
New York
Headquarters
$24.0B
Valuation
Reviews
3.7
2 reviews
Work Life Balance
3.0
Compensation
2.0
Culture
3.0
Career
2.5
Management
3.5
25%
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Pros
Practical experience with Node.js and MongoDB
Learning NoSQL database management
Web scraping experience
Cons
Poor application performance (5+ second response times)
Difficult job market with low interview rates
Unpaid internship opportunities
Salary Ranges
0 data points
Junior/L3
L3
L4
L5
L6
Senior/L5
Staff/L6
Director
Junior/L3 · Associate Product Manager
0 reports
$137,500
total / year
Base
-
Stock
-
Bonus
-
$116,875
$158,125
Interview Experience
10 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 80%
Negative 20%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview
4
Final Round/Onsite
5
Offer Decision
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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