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.

The MongoDB R&D Engineering Technical Program Management team leads strategic R&D programs that unite teams to tackle the most complex challenges, advancing our company’s goals in order to deliver great products that our customers love.

Atlas Search is a multi-cloud service that allows users to execute complex full text and vector search queries using the MongoDB Query Language, enabling our users to focus on relevance and data retrieval instead of the machinery needed to search data at scale. The Atlas Search teams are building the cloud-based distributed systems software responsible for the core components of search and the lifecycle of search indexes.

As a Staff Technical Program Manager, you will own the successful delivery of complex, cross-functional engineering efforts for Atlas Search. You will partner closely with key Engineering, Product, and Product Design stakeholders to develop and execute against our overall product vision and business objectives, uncover solutions to technical challenges, and provide data-driven insights that power strategic decision-making.

This position is based out of our San Francisco office, with the possibility of working from another MongoDB office or remotely for the right candidate.

The right candidate for this role will be:

Experienced with 10+ years of working in an engineering organization leading complex cross-functional technical programs
Experienced with 5+ years of Software development background, preferably with large scale distributed systems and Cloud services
Able to partner with technical stakeholders in methodically breaking down engineering challenges to deliver against abstract goals
Able to participate in technical design discussions and summarize trade-offs, outcomes, and next steps
Skilled at communicating across a diverse set of engineers and stakeholders
Hyper-organized and capable of coordinating across multiple independent work streams and organizations
A role model for effective execution practices, driven by an attuned sense of priority and urgency
Able to leverage their experience in program delivery to influence improvements to our tools, operations, architecture
Trained in working with project tracking software (e.g. Jira, Rally, MS Project)
Familiar with MongoDB or a comparable technology
Interested in business automation work such as scripting in Python, Google Apps Script and Slack

Position Expectations:

Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery
Recognize patterns in a sea of information and take action accordingly
Design, maintain, and improve the processes and tools that power program delivery
Build strategic partnerships with Product and Engineering stakeholders
Expand knowledge into new domains as called upon
Act as a mentor to junior TPMs and lead by example
Embody MongoDB's core values and leadership principles

Success Measures:

In 3 months you will be ramped on the Atlas Search product and engineering roadmap
In 6 months you will own and drive critical initiatives across the Search portfolio
In 12 months you will be leading multiple high impact efforts and integrating improvements to frameworks for managing critical programs at 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.

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—$226,000 USD

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