Senior Manager, Software Engineering

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, Linked In, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.

Supported by operating principles of being strategy-led, values
-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

As part of the Platform & AI Enablement team under GPTO Engineering, you’ll report to the Sr. Director Engineering API. This team is accountable for shaping enterprise data architecture, enabling high-performance AI-driven workloads, and acting as a technical bridge between engineering and architecture.

• Build, mentor, and scale a high-performing engineering team based on actual demand and delivery needs
• Provide hands-on coaching and guidance to Principal Engineers and team members, fostering technical excellence and career growth
• Quickly establish trust with team members, peers, and stakeholders through authentic engagement and delivery
• Champion engineering culture that balances pragmatic delivery with sustainable practices

Delivery Excellence

• Drive fast-paced, continuous delivery practices—leading the transformation from monthly to daily release cycles
• Balance process rigor with delivery velocity; know when documentation adds value and when it creates friction
• Apply and evangelize proper use of DORA metrics to measure and improve team performance
• Ensure platform capabilities for data processing, AI, and developer acceleration ship reliably and on schedule
• Take ownership of delivery outcomes; work proactively with Product Management without waiting for perfect requirements

Technical Strategy & Collaboration

• Partner closely with architects to align implementation patterns with long-term technical direction
• Create clear, compelling strategy papers, roadmaps, and presentations for technical and executive audiences
• Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns
• Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services
• Contribute to technical planning, architecture decisions, and incident retrospectives

Platform & Product Mindset

• Apply product thinking to platform solutions, ensuring they meet real business and customer needs
• Champion innovation in performance, tooling, and platform capabilities
• Oversee design and delivery of full stack solutions spanning React, Java, and Python
• Facilitate cross-functional collaboration across engineering, product, and architecture

Leadership & Management

• Demonstrable experience in engineering as well as engineering management or technical leadership
• Proven track record managing teams through significant process transformations (e.g., monthly to daily releases)
• Experience managing both technical leads/Principal Engineers and individual contributors
• Demonstrated ability to scale teams thoughtfully based on demand, not politics

Technical Depth

• Strong software development background with hands-on experience in platform, infrastructure, or data-centric environments
• Deep expertise in event-driven architectures, streaming technologies (Apache Kafka, Flink, and/or Pulsar)
• Experience with production-ready AI/ML systems including prompt-based LLMs and model integration
• Proficiency across fullstack technologies (Java, Python, React) with ability to guide technical decisions
• Knowledge of…