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Manage revenue accounting operations for a high-growth SaaS company, including month-end close, revenue recognition, reconciliations, contract reviews, ASC 606 compliance, audits, forecasting support, revenue analytics, and control maintenance. The role also provides oversight to Revenue Analysts and partners cross-functionally with OTC, FP&A, and other teams on complex revenue initiatives and projects.

Own the growth marketing strategy and experimentation roadmap for a self-serve developer journey, emphasizing monetization, engagement, conversion, retention, and expansion. Lead experiment prioritization, campaign quality, KPI analysis, and cross-functional alignment with Product, Analytics, Data Science, Customer Success, Product Marketing, and Developer Relations. Coach growth marketers, provide hands-on feedback, identify emerging growth opportunities, and communicate performance and recommendations to senior leadership.

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.

Leads lifecycle and growth marketing programs for developer-focused B2B SaaS users, driving platform adoption, retention, expansion, and revenue. Develops personalized campaigns across email, in-product, and web; manages onboarding, activation, and re-engagement initiatives; runs experiments and A/B tests; analyzes customer, product, and market data; monitors KPIs; and partners cross-functionally with Product, Analytics, Data Science, Customer Success, Product Marketing, and Developer Relations.

Senior Director responsible for leading growth-focused product management at MongoDB. The role is associated with MongoDB Atlas, a globally distributed, multi-cloud data platform available across AWS, Google Cloud, and Microsoft Azure. Specific day-to-day responsibilities and qualifications were not included in the provided description.

Lead the long-term vision and strategy for MongoDB Search infrastructure. Partner with engineering, SRE, and solutions architecture teams to translate distributed-systems tradeoffs into customer value, improve observability and operational reliability, define SLOs, and guide major search capabilities from concept through general availability. Drive customer discovery and strategic investments supporting scalable vector, hybrid, and AI-native applications.

Lead MongoDB’s UK pre-sales Solutions Architecture team by recruiting, retaining, and developing talent; partnering with enterprise sales teams; qualifying technical opportunities; supporting customer solution development; strengthening sales practices; and building customer relationships that drive growth. The role is hybrid in or around London and requires travel up to 25%.

Own a strategic customer portfolio as a senior advisor and primary point of contact. Drive adoption, growth, retention, and technical outcomes through account planning, executive business reviews, issue resolution, customer feedback, and cross-functional collaboration. Forecast churn and growth, document interactions in Gainsight and Salesforce, improve Customer Success processes, enable teammates, support hiring, and partner with Sales, Professional Services, Product, and Engineering.

Lead pre-sales architecture engagements for MongoDB, designing scalable cloud and on-premises systems, advising customers, conducting technical discovery, demonstrations, proofs of value, presentations, sizing, and documentation. Partner with sales teams on account strategy, generate demand, build customer champions, and support successful deployments. Mentor solutions consulting colleagues while staying current on MongoDB, cloud, distributed systems, DevOps, Kubernetes, and AI architectures.

Coordinate and schedule phone, video, and onsite interviews; manage candidate communications and experience; use Greenhouse to move candidates through the process; arrange travel/accommodations; greet and support onsite interviews; assist with requisition, offer letters, background checks, and ad-hoc recruiting projects.