3 months ago
Base Salary
$157k - $184k/yr
Responsibilities
- Understand life sciences clients’ AI strategies and supply chain challenges and translate them into AI use cases and Celonis solutions
- Lead technical discovery, capability demonstrations, pre-sales engagements, and post-sale implementation guidance
- Rapidly build prototypes during customer hackathons for planning, sourcing, manufacturing, and distribution challenges
- Enable agentic process transformation, including autonomous inventory rebalancing and intelligent shipment exception handling
- Architect and deliver secure, scalable LLM and agent systems using RAG, tools, and guardrails
- Execute end-to-end business-critical Proof-of-Value projects and ensure adoption and value realization
- Integrate solutions with enterprise ERPs, Quality Management Systems, and regulated operating frameworks
- Serve as an internal and external technical subject matter expert for life sciences supply chain processes
- Scale organizational knowledge of pharmaceutical manufacturing and logistics processes
Requirements
- At least 8 years of experience leading technical pre-sales and post-sales engagements in life sciences, pharmaceutical, or MedTech supply chains
- Deep knowledge of life sciences supply chain processes such as S&OP, Procure-to-Pay, Track & Trace, Cold Chain Management, and Quality Control/Batch Release
- Expertise in generative AI techniques including RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning
- Strong knowledge of Python and common ML libraries, including LangChain, pandas, pydantic, scikit-learn, and PyTorch
- Experience with data engineering tools and technologies for large, siloed supply chain datasets
- Strong presentation skills for supply chain executives, IT leaders, and other internal and external stakeholders
- Bachelor’s degree required
- Master’s degree in computer science, supply chain management, engineering, mathematics, or a related field, or equivalent work experience preferred
- Hands-on experience building agentic systems with LLM orchestration, RAG, function calling, prompt engineering, and safety evaluations in regulated environments preferred
- Familiarity with GS1 EPCIS, SAP APO/IBP, or Kinaxis preferred
- Experience with LangChain, LlamaIndex, or other open-source LLM ecosystem packages preferred
- Experience deploying and monitoring models at scale across AWS Bedrock, Azure AI, or GCP Vertex preferred
Benefits
- Restricted Stock Units (RSUs) and merit-based refresh grants for full-time employees
- 24 weeks of fully paid parental leave for primary carers and 12 weeks for supporting carers from the first day of employment
- Unlimited PTO in applicable regions and generous PTO globally
- Flexible hybrid work model balancing remote work and office collaboration
- Learning framework, mentorship programs, and access to a dedicated learning platform
- Subsidized Wellhub memberships, mental health counseling, and Wellness Weeks
- Paid time off for annual Impact Days volunteering
- Inclusion Think Tank and annual Inclusion Days
Tech Stack
Categories
Solutions Engineering
About Celonis
Celonis builds an enterprise SaaS platform for process mining and process intelligence that helps large organizations analyze, monitor, and improve business operations across systems like ERP and CRM. It sells subscriptions and solutions that surface process bottlenecks, recommend actions, and trigger automations. Founded in 2011, Celonis is privately held and headquartered in New York City and Munich, serving enterprises globally across industries.