At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading 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, LinkedIn, 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!
You will join the Predictive Intelligence engineering team within Anaplan, building the backend services that power the Syrup platform and Anaplan’s forecasting and predictive solutions. The team owns the production services behind forecasting, scoring, and data processing, along with the pipelines and infrastructure that bring ML and AI capabilities to enterprise customers. As a backend engineer, you will build and maintain core services across this stack, writing clean, well-tested Python while growing your craft alongside experienced engineers. This role reports to the Director of Engineering for Predictive Intelligence and works closely with backend engineers, data scientists, and platform partners.
Your Impact
- Build and maintain backend services, APIs, and data processing components across the Predictive Intelligence stack.
- Contribute to the forecasting, scoring, and data processing services that deliver predictive insights, with attention to performance, reliability, and code quality.
- Write clean, well-tested, maintainable Python and follow established engineering best practices.
- Work with data scientists and ML engineers to integrate models into production services and support the pipelines around them.
- Participate in code reviews and design discussions, and incorporate feedback to grow as an engineer.
- Take part in on-call rotations as you ramp, and help monitor, diagnose, and resolve issues across services and pipelines.
- Collaborate across the team to deliver well-scoped features end to end.
Your Qualifications
- Proven commercial professional software engineering experience building backend services.
- Solid proficiency in Python, with experience writing well-structured, tested production code.
- Experience with relational databases and SQL (e.g., Postgres); familiarity with data warehousing technologies such as Snowflake is a plus.
- Exposure to containerized services and at least one major cloud (AWS, GCP, or Azure).
- Basic understanding of how ML and AI systems run in production and the data pipelines that support them.
- Familiarity with version control (Git) and collaborative development practices.
- Demonstrated ability to take ownership of well-scoped systems and deliver against requirements with some ambiguity.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Preferred Skills
- Experience with data orchestration tools (e.g., Prefect, Airflow, dbt).
- Familiarity with MLOps tooling such as MLflow, or experience supporting ML workloads in production.
- Exposure to LLM or agentic application patterns and AI service integration.
- Experience operating services on Kubernetes.
- Background in forecasting, demand planning, or retail/supply chain domains.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to [email protected] before taking any further action in relation to the correspondence.
Anaplan London, England Office
338 Euston Road, Floor 15, London, United Kingdom, NW1 3BT
