Celonis

2 months ago

Lead Applied Value Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

As an Applied AI Engineer you work with strategic customers to translate AI objectives into Celonis-based solutions, prototyping with leading AI/ML partners, and delivering value through ROI-focused PoVs. You’ll lead discovery, build rapid prototypes in hackathons, and architect scalable, secure LLM/agent systems integrated with enterprise data, guiding projects to adoption and measurable business impact.

Location: Redwood City

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle.
•Hackathons & Prototyping: Think out of the box, have a can-do attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems.
•Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform.
•Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
•Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value & adoption thresholds are reached.

Pay and Benefits

Perks:RsusHealth InsurancePaid LeaveParental Leave401k

Key Requirements

•7+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
•Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
•Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
•Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
•Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.

Experience:7+ yearsEnterprise SaaSAIProcess miningPre-sales

Education:Bachelor's

Skills:PresentationCommunicationProblem-solvingCollaborationCreative thinking

Languages:English

Tech Stack:PythonLangChainPandasPydanticSklearnPyTorchRAGLLM orchestrationOpenAIDatabricksMicrosoftAzure AIGCP VertexAWS Bedrock

Company Brief

Celonis

Provides cloud-based process mining and execution management software that helps organizations visualize, analyze, and optimize business processes to improve efficiency, reduce costs, and accelerate operational transformation across enterprise systems.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 2011

Website LinkedIn

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Celonis

2 months ago

Lead Applied Value Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Redwood City

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle.
•Hackathons & Prototyping: Think out of the box, have a can-do attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems.
•Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform.
•Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
•Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value & adoption thresholds are reached.

Pay and Benefits

Perks:RsusHealth InsurancePaid LeaveParental Leave401k

Key Requirements

•7+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
•Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
•Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
•Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
•Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.

Experience:7+ yearsEnterprise SaaSAIProcess miningPre-sales

Education:Bachelor's

Skills:PresentationCommunicationProblem-solvingCollaborationCreative thinking

Languages:English

Tech Stack:PythonLangChainPandasPydanticSklearnPyTorchRAGLLM orchestrationOpenAIDatabricksMicrosoftAzure AIGCP VertexAWS Bedrock

Company Brief

Celonis

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 2011

Website LinkedIn