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!
- Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Time Series Forecasting models to solve complex enterprise business and planning challenges.
- Generative AI Architecture: Architect GenAI solutions, focusing on fine-tuning proprietary and open-source Large Language Models (LLMs) via Transformer architectures for specialized enterprise data tasks.
- Next-Gen Interfaces: Design and integrate Conversational AI and autonomous Agentic AI workflows to create intuitive experiences that can independently execute complex planning tasks.
- Production & Scale: Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems.
- Technical Leadership: Serve as a core subject matter expert, mentoring cross-functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning.
- Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains.
- Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks.
- Experience fine-tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain-specific enterprise applications.
- Taken responsibility for models from concept to production, utilizing strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments.
- High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines.
- Strong hands-on experience in traditional Machine Learning and deep learning techniques, specifically including Time Series Forecasting algorithms.
- Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field.
- Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment.
- Background in forecasting, planning, or analytics applications
- Familiarity with Anaplan or similar enterprise planning platforms
- Experience with A/B testing and experimentation frameworks for AI features
- Contributions to open-source ML projects or research publications
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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.
Skills Required
- Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains
- Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns
- Experience with autonomous agent frameworks and designing agentic AI workflows
- Experience fine-tuning LLMs (e.g., LoRA, QLoRA, RLHF) for domain-specific enterprise applications
- Proven track record taking models from concept to production using strong MLOps and LLMOps practices
- High proficiency in Python and modern software development practices (testing, code reviews, CI/CD)
- Strong hands-on experience in traditional ML and deep learning techniques, including Time Series Forecasting algorithms
- Background in Computer Science, AI, Statistics, Data Science, or related quantitative field
- Experience with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, deployment
- Background in forecasting, planning, or analytics applications; familiarity with Anaplan or similar enterprise planning platforms
- Experience with A/B testing and experimentation frameworks for AI features
- Contributions to open-source ML projects or research publications
Anaplan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anaplan and has not been reviewed or approved by Anaplan.
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Strong & Reliable Incentives — Earnings potential in sales is considered good or fair, with on‑target earnings achievable when plans are met. This indicates variable pay can meaningfully boost total compensation when targets are hit.
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Healthcare Strength — Medical, dental, and vision coverage are described as strong, complemented by mental‑health resources and EAP support. Company‑wide paid wellbeing days reinforce the health and wellness focus.
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Parental & Family Support — Equitable parental and caregiver leave are highlighted alongside fertility and adoption support. Family‑forming programs such as Carrot are part of the offering.
Anaplan Insights
What We Do
Anaplan is building a future where connected leaders and teams are able to constantly adapt, transform and reinvent their businesses. We make it possible to share actionable insights, empower and unleash creativity, and drive innovation. With Anaplan, finance and operational leaders across the organization can model complex scenarios, forecast continuously with added intelligence, and make agile decisions with confidence.
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