Jobs at Dynatrace

Secures enterprise business applications and integrations, including NetSuite and SAP SuccessFactors. Reviews configurations, access models, APIs, data flows, IAM, logging, and cloud controls; performs risk assessments, threat modeling, and audit support; aligns controls with FedRAMP, ISO 27001, SOC 2, and SOX requirements. Partners with application owners, cloud teams, IT, security, and business stakeholders to implement least privilege, secure configurations, compensating controls, and remediation plans.

Owns the ServiceNow platform architecture, engineering standards, governance, integration patterns, and technical roadmap. Reviews and approves designs, directs implementation partners, and leads complex solutions across ITSM, CMDB/CSDM, HRSD, Employee Center Pro, asset management, and IntegrationHub. Oversees platform upgrades, AI capabilities, Discovery, and Dynatrace integrations while translating business needs into scalable solutions. Mentors the platform team and guides long-term enterprise service management strategy.

Lead the end-to-end architecture and delivery of enterprise Anaplan planning solutions. Partner with Marketing Operations and cross-functional teams to gather requirements, build multidimensional models, integrate systems, ensure data integrity, and align solutions with business objectives. Serve as an Anaplan subject matter expert, guide stakeholders and delivery teams, apply platform best practices, and support continued expansion into additional business functions.

Perform end-to-end revenue recognition and close activities for subscription, services, and usage revenue. Execute contract reviews, fair value allocations, journal entries, reconciliations, and quarterly/annual ASC 606 assessments. Support automation and process-improvement projects, collaborate with global accounting and sales/renewals/order management teams, and assist external auditors with revenue testing and disclosures.

Represent Bluebox publicly within the developer community by building demos, writing technical content, hosting livestreams and workshops, speaking at events, and fostering community engagement. Gather developer feedback, identify onboarding and documentation friction, influence the product roadmap, collaborate with influencers, and drive sign-ups and product usage. The role independently owns developer advocacy strategy and delivery for a new product and brand.

Own developer acquisition for Bluebox.ai by testing and scaling paid channels such as newsletters, Reddit, search, YouTube, podcasts, and community sponsorships. Manage paid media, attribution, funnel analytics, campaign reporting, and content distribution. Optimize for sign-ups, meaningful usage, and activation while experimenting with SEO, AI-SEO, and LLM optimization. Operate independently in a startup-like environment, documenting results and reallocating budget based on data.

Define and lead enterprise data governance: create standards, operating model, and AI-ready data practices. Partner with data product managers, platform engineering, security, legal and privacy to enable self-service, metadata, lineage, quality, access controls, and compliance while building governance councils and driving adoption.

Lead design and implementation of enterprise data governance: define standards, operating model and AI-ready data criteria; partner with data product managers, engineering, security, legal and privacy to operationalize metadata, lineage, access controls, quality monitoring, and self-service for analytics and AI.

Owns Finance data products end to end, including roadmap, reliability, adoption, data quality, governance, metrics, reporting requirements, and auditability. Partners with Finance, FP&A, Accounting, Procurement, and analytics engineering teams to define requirements, shape data architecture, guide delivery, and improve data maturity. Requires strong product ownership, stakeholder influence, data modeling, BI, governance, and Finance domain knowledge.

Owns Finance data products end to end, including roadmap, reliability, adoption, data quality, governance, and maturity. Partners with Finance, FP&A, Accounting, Procurement, and analytics engineering teams to define requirements, data models, metrics, reporting, auditable data flows, and priorities. Leads projects, influences technical design, drives stakeholder alignment, and promotes data discoverability and literacy. The role requires 7+ years of experience and strong product ownership, data management, finance, governance, and business-technical communication skills.

Owns a portfolio of customer-domain data products across Customer Success, Support, Product, and Sales. Leads data maturity projects, shapes roadmaps, defines metrics and data requirements, guides data mart architecture, and partners with analytics engineering teams. Drives data quality, governance, privacy, discoverability, adoption, and stakeholder alignment while translating business problems into buildable solutions. Requires strong product ownership, technical-business communication, data modeling, BI, governance, and customer or GTM domain expertise.

Own and grow Dynatrace's AI-native partner ecosystem for app builders and AI SaaS. Build executive relationships, execute co-sell motions, drive partner-influenced pipeline and revenue, run joint GTM campaigns, support events and enablement, and collaborate with Product on AI observability integrations and roadmap.

Lead revenue accounting for a public SaaS company, owning ASC 606/340 compliance, monthly and quarterly close, commissions accounting, SOX controls, audits, and quote-to-cash partnerships. Drive policy, process, system improvements (NetSuite, Salesforce, revenue automation), technical accounting analyses, and manage a high-performing team while advising cross-functional stakeholders on complex contract and revenue matters.

Design and deploy production AI assistants, copilots, agents, RAG systems, and workflow automation using enterprise data. Build AI backend services, APIs, microservices, and AWS serverless workflows; integrate enterprise platforms; implement observability, responsible AI, human-in-the-loop controls, and traceability. Partner with Data, IT, and business teams to improve operational processes and decision-making while managing production incidents, model rollbacks, performance, accuracy, and cost.