Jobs at Anaplan

Lead Agile execution and Scrum ceremonies across Anaplan development streams. Manage Jira intake, triage, backlogs, workflows, dashboards, releases, dependencies, and delivery metrics. Support project planning, risk management, executive reporting, process documentation, SOPs, and technical runbooks in Confluence. Coordinate internal enablement programs, webinars, workshops, hackathons, communications, and participant tracking while partnering with business, product, architecture, and engineering stakeholders.

Manage APAC finance planning, reporting, P&L processes, and strategic analysis for go-to-market functions. Deliver actionable insights on revenue drivers, resource allocation, and expenses using financial data and Anaplan’s platform. Promote AI adoption for predictive analytics, workflow automation, and financial reporting. Partner with Sales Operations, Accounting, senior leadership, and cross-functional teams in a high-growth SaaS environment.

Operate and maintain Kubernetes clusters and in-cluster services for a SaaS platform: perform upgrades/patching, troubleshoot production incidents, remediate security issues, support developer requests, automate tasks, and build observability dashboards and alerts to improve MTTD/MTTR.

Lead end-to-end enterprise Anaplan implementations across the UKI market. Responsibilities include project governance, scoping, budgeting, forecasting, billing, risk and resource management, stakeholder engagement, executive communication, escalation handling, project recovery, Agile delivery, consensus building, and portfolio reporting. The role serves as a strategic customer advisor while coordinating internal teams and external partners to deliver successful, scalable solutions.

Conduct inbound and outbound prospecting across phone, email, social, digital, and events. Develop account-level outreach strategies, qualify prospects, understand customer challenges and platform use cases, create sales meetings and pipeline, track performance metrics, and collaborate with sales and marketing teams. The role targets Fortune 2000 stakeholders, including C-level decision-makers, and requires high-volume calling and Salesforce proficiency.

Lead a six-person Platform Engineering team responsible for GitOps deployment pipelines, Argo CD, feature flagging, developer tooling, non-production environments, orchestration, and self-healing systems. Coach engineers, manage delivery and on-call operations, establish environment governance, collaborate cross-functionally, and define platform strategy. Build automation for test data, user identities, environment provisioning, service hydration, rollback, and local development workflows.

Lead a DevOps team responsible for building, scaling, securing, and optimizing ML and GenAI infrastructure. Define cloud infrastructure roadmaps, automate provisioning, architect MLOps and LLMOps pipelines, deploy LLMs to production, and manage AI infrastructure budgets through FinOps practices. Implement resource-efficiency measures, observability, incident response, data governance, and security controls while collaborating with Data Science and Engineering leaders.

Lead design and production of ML/Deep Learning and time-series forecasting models, architect and fine-tune LLM/GenAI solutions, build conversational and agentic interfaces, transition prototypes to scalable production, and provide technical leadership and mentorship across cross-functional teams.

Lead AMER Customer Success strategy and operations by improving post-sales productivity, forecasting, pipeline visibility, data integrity, and customer health insights. Partner with senior leadership to scale operating models, identify risks, build proactive action systems, optimize CRM and CS processes, and drive cross-functional initiatives across Sales, Product, Analytics, Technology, and Enablement. Serve as a strategic advisor and change agent for revenue growth, retention, and expansion.

Lead AMER Customer Success operations and future-state operating models for a B2B SaaS organization. Drive post-sales productivity, forecast accuracy, pipeline visibility, churn and expansion performance, customer health scoring, and operational data integrity. Build proactive diagnostic and early-warning systems, optimize processes and platforms, provide executive-level insights, and lead complex cross-functional initiatives spanning Sales, Product, Analytics, Technology, and Enablement.

Own sales forecasting and pipeline reporting on the Anaplan platform. Partner with Field Operations and cross-functional teams to deliver actionable reporting for forecasting, pipeline management, account planning, territory oversight, strategic initiatives, and performance tracking. Ensure data accuracy across systems, translate business requirements into technical reporting solutions, coordinate priorities across teams, and communicate reporting changes to stakeholders.

Lead the architecture and deployment of scalable data platforms, real-time and batch pipelines, AI infrastructure data systems, APIs, data lakes, warehouses, streaming architectures, and data quality frameworks. Optimize distributed processing and queries, establish governance, model enterprise data semantics, evaluate modern data technologies, and mentor engineering teams while collaborating across analytics, product, and platform groups.

Own sales forecasting and pipeline reporting on the Anaplan platform. Partner with Field Operations and cross-functional teams to deliver reporting for forecasting, pipeline management, account planning, territories, strategic initiatives, and performance tracking. Ensure data accuracy across systems, translate business requirements into technical reporting solutions, coordinate priorities across teams, and communicate reporting changes to stakeholders.

Drive enterprise sales growth for Anaplan across Denmark and the Nordic region. Identify business-process challenges, position Anaplan’s scenario-planning platform, manage opportunities from prospecting through close, and sell to senior executives and C-suite stakeholders. Build new-logo accounts, expand existing customers through cross-selling and upselling, forecast accurately, and collaborate with sales development, marketing, solution consulting, and customer success teams.

Sell Anaplan's connected planning platform into large enterprises across the Nordics. Hunt new logos, grow accounts, present to C-suite, manage opportunities end-to-end, apply value-based selling, forecast revenue, and coordinate cross-functional teams including SDRs, Solution Consultants, Marketing, and Customer Success.

Design, implement and maintain disaster recovery and capacity planning for the platform. Build tooling, monitor KPIs, forecast resources, assess impact of changes, manage risks, run DR tests, and collaborate with engineering and service teams to ensure platform availability and scalability.

Build and maintain Power BI dashboards and predictive forecasting models that transform cloud and on‑prem infrastructure metrics into actionable capacity-planning insights. Query and blend data from billing, monitoring tools and APIs, forecast resource demand, monitor KPIs, identify risks, and produce executive reports to guide optimization and cloud spend.

Drive execution of Revenue Performance Management applications: define product vision and roadmap, gather and synthesize high-level requirements, align stakeholders, enable go-to-market plans, monitor post-launch performance, and incorporate customer feedback to improve GTM planning solutions.

Own and develop Anaplan’s Threat Intelligence function, including strategy, lifecycle, tooling, integrations, threat hunting, incident response support, intelligence research, detection content, and executive briefings. Build automated workflows across SIEM, SOAR, and EDR/XDR platforms; develop hunt methodologies and detections aligned with MITRE ATT&CK; and communicate actionable findings to technical and CISO-level stakeholders.

The Customer Success Business Partner will drive customer returns on Anaplan's platform, managing relationships, ensuring adoption, expansion, and fulfilling strategic business needs through AI capabilities.