• Orchestrate the full product delivery lifecycle for cross-functional teams • Establish delivery timelines and proactively manage team performance • Forecast resource needs and manage capacity planning • Serve as the central communication hub and provide updates to stakeholders • Employ forecasting and risk management strategies • Define and standardize processes to foster continuous improvement

Role Description As a TPM for SRE, you will partner with SRE leaders and engineers to scale the platform that underpins all of MongoDB’s cloud products. You will drive program execution, strengthen production reliability practices, and coordinate cross-functional efforts across US and EMEA teams. Success in this role means smoother launches, clearer roadmaps, stronger reliability metrics and an SRE organization that's better-equipped to deliver predictability at scale. This role can be based remotely on the East Coast. What You'll Do - Drive Program Planning & Execution: Define program scope, milestones, and success criteria with SRE engineers and leaders. Manage dependencies across platform teams, keep work clearly tracked in Jira, and deliver on time. - Strengthen Production Reliability: Lead change management and launch readiness programs. Partner with SREs and product teams to define and operationalize SLOs/SLIs, and use incident data, metrics, and capacity signals to drive prioritization and continuous improvement. - Lead Cross-Functional Coordination: Align SRE with Security, Compliance, Cloud platform, and other engineering teams. Coordinate cross-team incident response, ensure clear follow-through, and build trust as the go-to driver of complex, multi-team efforts. - Build Scalable Systems & Processes: Design lightweight frameworks and communication patterns that help SRE deliver reliably at scale. Work yourself out of the "hero" role by leaving teams better-equipped to execute independently. Qualifications - 8+ years in technical program management, engineering management, or a comparable technical role partnering with software engineering teams. - Proven track record leading large-scale, cross-team platform initiatives through ambiguity and change. - Strong knowledge of production change management, software development lifecycle, and reliability metrics (SLOs, SLIs). - Skilled at shaping roadmaps and managing dependencies. - Able to query and interpret metrics, logs, or other data sources to inform decisions and communicate risk. - Excellent communicator—clear, concise, and calm—across engineers, cross-functional partners, and executives. - Low-ego, highly collaborative, and motivated by ownership of hard problems end to end. Requirements - Hands-on or close-partner experience with Kubernetes, cloud networking, or observability stacks (metrics, logs, tracing, alerting). - Prior experience working with or alongside SRE teams. - Background in large-scale cloud infrastructure or platform engineering. - Familiarity with MongoDB Atlas or other modern cloud database platforms. Benefits - Equity participation. - 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. - Health benefits offerings. Company Description 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.

• You'll be responsible for a specific area: games, features, or platform work. • From the first conversation about a requirement through to production - you're on the hook for the whole thing. • This isn't a meeting-facilitation job. It's about making sure engineering teams have a clear path to delivery and nothing is getting in their way. • You set the timeline, track it, and communicate changes before people start asking questions. • If there's a blocker, you've already seen it. If a release isn't ready, you say so - clearly and early. • You'll look at how work flows through your area and fix what's broken. • You'll design something that actually works, iterate on it, and make it better over time. • Quality is yours too. Not QA's problem alone, not the tech lead's problem. • You own release readiness: is it tested, is it documented, does anyone know the operational risk. • you'll work closely with product, engineering, QA, and client-facing teams, keep them aligned, and report directly to the VP of Delivery.

• Steward the end-to-end planning, execution, and delivery of the dataset development program • Act as the primary liaison between ML engineers, GIS engineers, technical artists, product stakeholders, and external vendors • Manage vendor relationships, including onboarding and quality assurance • Collaborate with ML and data teams to define annotation guidelines, quality metrics, and validation protocols • Ensure that annotation platforms and data pipelines are scalable, secure, and efficient • Ensure data collection and annotation practices adhere to privacy and ethical standards • Ensure that institutional knowledge exists in written form