MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
As a Product Manager on our IT Data team - comprising Data Pipeline Engineering, Data Platform Engineering, Data Architecture, and Data Governance & Discoverability - you will have the opportunity to work on data products that MongoDB employees use everyday to make decisions and accelerate product growth. Our teams own the Internal Data Platform that provides analytics and data science capabilities to the entire company, as well as the raw and transformed data assets that underpin it. Current data products include our data lake query engine, self-serve pipeline tooling, data catalog, data quality service, lifecycle management tool and more. As our surface area and user base continue to grow, you'll have the chance to take ownership of our Internal Data Platform portfolio and lead it to new heights.
We are looking to speak to candidates who are based in New York City, NY for our hybrid working model.
Responsibilities:
Product Strategy and Ownership: Drive the complete lifecycle of the product, from defining vision and strategy to roadmap creation and execution; Align product direction with business priorities, IT architecture, and stakeholder needs; Define the "art of the possible," balancing quick wins with long-term improvements, and advocate for strategic innovation in data products
Requirements Gathering and Use Case Definition: Partner closely with stakeholders, including analysts, engineers, and product managers, to collect and document detailed business requirements; Interview diverse personas to determine use cases, user stories, and actionable solutions, ensuring stakeholder pain points are accurately captured
Stakeholder Collaboration and Advocacy: Serve as the voice of the user, gathering feedback and championing their needs; Develop and maintain strong partnerships across business units, engineering teams, and executive leadership. Provide clarity and transparency to the business on product progress, prioritization decisions, and roadblocks
Agile Product Management: Lead and drive agile ceremonies, from backlog grooming to sprint planning and retrospectives; Collaborate closely with technical teams to ensure timely and high-quality product delivery; Balance addressing tech debt while driving innovation and new feature development in sprints
Enablement and Long-Term Discoverability: Build user-friendly documentation and guides to drive product adoption and longevity; Communicate complex concepts in a manner easily understood across multiple audiences, ensuring discoverability and literacy of data products
Performance and Market Analysis: Define measurable product outcomes and success metrics. Continuously analyze data signals to inform innovation, roadmap prioritization, and product delivery; Conduct market research to stay up-to-date with industry trends and guide strategic direction for products and the Internal Data Platform
Product Marketing & Adoption: Announce product features and datasets through effective product marketing strategies and evangelization efforts, driving adoption across MongoDB teams; Re-launch features as needed to invigorate usage and showcase core capabilities
Change Management: Partner with change management and training teams to promote adoption of features and capabilities; Communicate product changes effectively and track KPI metrics for success
Requirements:
Experience: 5+ years of experience in product management, preferably in data products, or equivalent work experience with a proven ability to define product scope and collaborate with technical teams to deliver impactful solutions
Strategic Thinking: Demonstrated ability to align product roadmaps with business priorities, operational needs, and technical feasibility. Skilled at making trade-off decisions between scope, resources, and timelines
Stakeholder Empathy: Strong stakeholder-focused mindset, with a track record of understanding pain points, building partnerships, and translating insights into actionable requirements and solutions
Technical Strength: Deep understanding of data engineering, analytics, and UX fundamentals. Experience working with analysts, data scientists, engineers, product managers, and operators, with the ability to step into their shoes and anticipate their needs
Agility in Execution: Proficient in leading agile teams and ceremonies, managing technical dependencies, and driving continuous improvement of product processes and user experiences
Effective Communication: Exceptional written and verbal communication skills, enabling collaboration across diverse company audiences, both technical and non-technical
Growth Mindset: Adaptable, eager to take on challenges beyond the defined scope, highly organized, and detail-oriented to ensure thorough execution and delivery
Outcome-focused Approach: Strong focus on measurable product outcomes and iterative improvement, with the ability to define and monitor success metrics
Educational Background: B.Sc. in Computer Science or a related field preferred, or equivalent work experience in technology and product domains
Nice to Have:
Data Analytics Expertise: Experience with BI, data engineering, or analytics tools; enjoys digging into data for insights, progress validation, and new opportunities
Market Awareness: Keeps up-to-date with market trends in databases, data science, and software development, influencing product strategies accordingly
User Enablement: Skilled in creating guides, documentation, and onboarding materials for stakeholders, driving long-term stakeholder productivity
Evangelization Passion: Demonstrates enthusiasm for promoting, re-launching, and driving adoption of products, datasets, and features
Metadata Management Knowledge: Understands the importance of metadata creation and documentation for long-term discoverability and literacy of data products
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 (https://www.mongodb.com/blog/channel/culture) , 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: 3263226175
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:
$136,000-$266,000 USD
