or apply directly on Anaplan's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 13 days Anaplan's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Anaplan's roles list one
- Ghost-job risk at Anaplan
- high 81 stale, 12 reposted of 142 open
- Hiring momentum
- 254 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Anaplan's own greenhouse board since 2026-08-03. Full hiring picture for Anaplan.
About this role
As a Senior ML Engineer at Anaplan, you will be part of the Predictive Intelligence engineering team, focusing on building backend services for the ML Engine that powers forecasting solutions. Your role involves designing scalable predictive services, implementing MLOps capabilities, collaborating with data scientists to productionize models, and ensuring the operational health of production services. Additionally, you will lead design and code reviews, mentor junior engineers, and drive improvements across the platform.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Anaplan as an employer.
What you need
- 6+ years of professional software engineering experience building production backend services
- Strong proficiency in Python, with a track record of writing performant, well-tested production code
- Hands-on experience operating containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure)
- Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres
- Experience designing, deploying, and operating ML models in production, including familiarity with MLOps tooling such as MLflow
- Demonstrated ability to work autonomously, take ownership of meaningful systems, and deliver against ambiguous requirements
Nice to have
- Experience with gradient-boosted tree models, neural networks, and optimization solvers in production
- Familiarity with data orchestration tools (e.g., Prefect, Airflow, dbt) and modern data lake architectures
- Experience working closely with data scientists to operationalize research code
- Multi-cloud experience across AWS, GCP, and Azure
- Background in forecasting, demand planning, or retail/supply chain domains
Worth weighing
- No salary listed
- Role involves on-call responsibilities which may impact work-life balance
- Focus on operational excellence may require a strong commitment to production service health
Summarised from Anaplan's posting. Read the full original.
Listed by Anaplan on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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