MongoDB Logo

MongoDB

Senior Product Manager, Client Libraries

Posted 50 Minutes Ago
Be an Early Applicant
Easy Apply
Remote or Hybrid
Hiring Remotely in United States
126K-248K Annually
Senior level
Easy Apply
Remote or Hybrid
Hiring Remotely in United States
126K-248K Annually
Senior level
Lead vision, strategy, roadmap, customer discovery, monetization, delivery, go-to-market, and post-launch health for MongoDB’s Client Libraries portfolio. Own high-impact product decisions across database drivers, SDKs, ODMs, and framework integrations. Influence cross-functional teams and senior stakeholders, manage enterprise customer relationships, identify technical and operational risks, develop business cases, support launches, and mentor junior product managers.
The summary above was generated by AI

The Senior Product Manager is a core Individual Contributor (IC) product role responsible for leading a complex, business-critical product area with significant dependencies, owning high-impact roadmap and product decisions over a multi-year horizon for the Client Libraries portfolio (MongoDB drivers across many programming languages, Object Document Mappers, and App Framework integrations) at MongoDB. You move beyond what data confirms to anticipate where customer needs and competitive dynamics are heading before the data makes it obvious, acting effectively even when signals are incomplete.

You serve as a go-to domain expert and mentor across Product, Engineering, Design, and Go-To-Market (GTM) teams, turning ambiguous opportunities into clear business cases and leading cross-functional execution for developer-facing SDKs, drivers, ODMs (e.g., Mongoose, Entity Framework Core, Hibernate, Django), and framework ecosystems (Drizzle, Feast).

This role can be in-office, flexible (hybrid), or remote in the United States.

Responsibilities
  • Vision & Strategy: Convert company and organizational strategy into a compelling vision and multi-year roadmap for the Client Libraries portfolio, making independent prioritization calls under incomplete information regarding major languages driving MongoDB Atlas growth, fast-growing ODMs, and strategic language communities
  • Anticipatory Customer Discovery: Maintain deep market and customer knowledge across a complex domain, reading subtle signals across developers, framework maintainers, and enterprise buyers to anticipate unstated customer needs and competitive dynamics (including how AI-native tooling is reshaping developer expectations)
  • Business Cases & Monetization: Turn ambiguous or untapped opportunities within or adjacent to your domain (such as new language drivers, framework integrations, or driver capabilities) into clear, actionable business cases, including packaging, adoption strategy, and revenue implications for MongoDB Atlas
  • Complex Delivery Execution: Keep delivery on track across complex product surfaces by spotting technical, enablement, and operational risks early across engineering teams, making high-stakes delivery decisions independently
  • Go-To-Market & Field Enablement: Drive go-to-market messaging strategy alongside Product Marketing; anticipate enablement or positioning gaps closely enough to drive cross-functional work—engaging with developer communities, hopping on sales calls, and publishing blog posts—before major launches or key deals
  • Strategic Product Health: Independently own and resolve complex post-launch customer escalations (e.g., connection handling, API ergonomics, performance, or compatibility issues), balancing maintenance investment against new development and treating product health issues as strategic risks
  • Communication & Executive Influence: Deliver difficult or incomplete messages directly across leadership levels with a clear point of view, using reasoned arguments and data to influence without authority, including explaining the rationale behind what you will and won't build
  • Customer Engagement: Manage high-stakes enterprise customer conversations independently, converting pain points into roadmap contributions and bringing in leadership only when trade-offs extend beyond your domain
  • Craft Mentorship: Mentor more junior PMs in developing roadmap judgment, customer intuition, and trade-off framing, helping them move from reporting facts to defending clear points of view
Qualifications
  • 5+ years of experience in product management, technical product delivery, or software engineering, with a track record of owning complex, business-critical product areas. Ideally with SDKs, developer tools, APIs, or client-facing libraries
  • Deep domain expertise in developer tools, client libraries, database drivers, ORMs/ODMs, or application framework integrations
  • Strong technical fluency in at least one major programming language, alongside real familiarity with how developers construct applications using drivers, ORMs, or ODMs
  • Demonstrated ability to make sound product and roadmap decisions under ambiguity using incomplete signals (support issues, usage telemetry, community sentiment)
  • Track record of building actionable business cases, including adoption modeling and financial justification for new product capabilities or ecosystem investments
  • Proven capability to spot delivery, technical, and operational risks early across complex cross-team dependencies
  • Strong cross-functional influence without direct reporting authority, with the confidence to deliver direct, transparent messages to senior stakeholders and pitch to business unit owners internally and externally
  • Excellent oral, written, and customer-facing presentation skills, with experience managing high-stakes enterprise customer and developer community conversations
Nice to Have
  • Direct experience building, maintaining, or driving product strategy for a database driver, ORM/ODM, or client library used by external developers
  • Familiarity with MongoDB specifically, or with how ODM/framework ecosystems (e.g., EF Core, Hibernate, Laravel, Django, Spring Data) relate to an underlying database's driver layer
  • Familiarity with how AI-native tooling (agent frameworks, AI SDKs embedded in traditional frameworks) is reshaping developer expectations of client libraries
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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, 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: 3273524320

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:
$126,000$248,000 USD

MongoDB Austin, Texas, USA Office

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

Similar Jobs at MongoDB

Yesterday
Easy Apply
Remote or Hybrid
2 Locations
Easy Apply
123K-242K Annually
Senior level
123K-242K Annually
Senior level
Big Data • Cloud • Software • Database
Provides technical consulting and customer implementation services across the application lifecycle, including architecture, development, deployment, testing, optimization, cloud migration, and MongoDB adoption. Delivers technical training, advises customers, collaborates with project and account teams, influences product direction, and communicates complex solutions and product roadmaps. The role requires frequent short customer-site trips of up to 15% of working time.
Top Skills: AWSC#GoGCPJavaJavaScriptLinuxAzureMicrosoft Sql ServerMongoDBNode.jsOraclePostgresPythonRubyWindows
Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
126K-248K Annually
Senior level
126K-248K Annually
Senior level
Big Data • Cloud • Software • Database
Build and optimize MongoDB’s SQL interface, including query engines, SQL-to-MQL translation, database connectors, and BI integrations. Develop backend systems that improve performance, scalability, reliability, and usability for large datasets and complex queries. Collaborate with product managers and customer experience teams, contribute to roadmap initiatives, resolve bugs, and lead major technical projects.
Top Skills: GoJavaJdbcMongoDBOdbcPower BIRustSQLTableau
5 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
92K-165K Annually
Senior level
92K-165K Annually
Senior level
Big Data • Cloud • Software • Database
Develop and execute lifecycle and growth marketing programs for B2B SaaS developers, driving platform adoption, retention, expansion, and revenue. Own campaigns across onboarding, activation, re-engagement, and monetization; optimize messaging, channels, and user journeys through experimentation and A/B testing. Partner with Product, Analytics, Data Science, Customer Success, Product Marketing, and Developer Relations. Analyze customers, markets, and KPIs to identify growth opportunities and deliver measurable programs.
Top Skills: AWSGCPAzureMongodb Atlas

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account