Celonis
Senior Applied Value Engineer - High Tech Consulting
Redwood City, US, California · Senior · Full-time
Sponsorship not specified$200k-$235kDetected 16 days ago
PythonSQLAWSGCPAzureCloud PlatformsAPI DevelopmentMachine LearningTensorFlowPyTorchscikit-learnData EngineeringLLMsRAGAgentic AILLMOpsMLOpsAI OrchestrationStatisticsAccessibilitySupply ChainResearchMentoring
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 100% were for a worker who already held the job.
Files H-1B transfers
1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- As Senior Applied Value Engineer, you are a strategic pioneer leading the charge in solving complex, business-critical problems for our customers.
- You will architect and prototype state-of-the-art AI and technical solutions on the Celonis platform, demonstrate their business impact to C-suite Executives, and ensure successful implementation, adoption, and value realization.
- Act as the foremost Celonis product and domain positioning expert.
Responsibilities
- Working with our most strategic global accounts, you will diagnose their strategy and key operational challenges to discover and build tailored, domain-specific use cases.
- You will lead technical discovery to architect, prototype, and build bespoke, state-of-the-art AI solutions targeting nuanced operational pain points.
Requirements
- Domain & Industry Expertise: Comprehensive knowledge of core operational workflows and industry landscapes (e.g., supply chain, finance).
- Strong presentation skills to both internal and external stakeholders (including executives), whether white boarding sessions or formal readouts and demos. Flawless English with exceptional executive presence.
Nice to have
- Degree: Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.
Compensation
- The base salary range below is for the role in the specified location, based on a Full Time Schedule.
- Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.
Benefits
- Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off).
- Math & Operations Research: Practical, expert-level application of linear/nonlinear optimization, rigorous statistical analysis, reinforcement learning, and advanced predictive forecasting.
Company info
- Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand - turning AI's operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
- Get familiar with the Celonis Process Intelligence Platform by watching this video.
- Celonis Inclusion Statement:
- At Celonis, we believe our people make us who we are and that "The Best Team Wins". We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
- Any information you submit to Celonis as part of your application will be processed in accordance with Celonis' Accessibility and Candidate Notices
- Use of Artificial Intelligence Tools
- We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions.
- Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes.
- The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand - turning AI's operational blind spots into operational clarity.
- Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes.
- Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
- At Celonis, we believe our people make us who we are and that "The Best Team Wins".
- We know that the best teams are made up of people who bring different perspectives to the table.
- And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
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This listing is sourced directly from Celonis's careers page and normalized into a canonical job model.