Celonis

Celonis

Lead Applied Value Engineer - High Tech

New York, US, New York · Senior · Full-time

No sponsorship$196k-$230kDetected 16 days ago
PythonData StructuresSnowflakeDatabricksAWSGCPAzureCloud PlatformsMachine LearningPyTorchscikit-learnPandasData EngineeringLLMsRAGAgentic AIAI OrchestrationSalesforceForecastingSAPSupply ChainERPInventory ManagementCustomer Support

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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.

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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

  • We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works.
  • This enables our clients to industrialize AI and unlock real ROI at scale.
  • You will prototype these solutions, demonstrate their value to executives, and ensure successful implementation, adoption, and value realization to expand our footprint across the global retail and consumer ecosystem.

Responsibilities

  • Pre- and Post-Sales Execution: Drive the full customer lifecycle. Lead technical discovery and capability demonstrations during pre-sales, and remain deeply involved post-sale to guide implementation and ensure agreed value and adoption thresholds are met.
  • Hackathons & Prototyping: Leverage cutting-edge AI technologies to rapidly build creative prototypes during customer hackathons.
  • Deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails, integrating seamlessly with enterprise retail data, identity protocols, and consumer data privacy frameworks.
  • Domain & Industry Leadership: Serve as the primary technical subject matter expert for the High Tech sector. Scale deep domain expertise across the organization to deliver high-value solutions for global brands, mega-retailers, and distribution partners.
  • Omnichannel & DTC Transformation: Act as a technical advisor on the transition to seamless omnichannel and Direct-to-Consumer (DTC) execution. Optimize order-to-cash cycles, customer returns processing, dynamic pricing models, and loyalty program integrations.
  • Sustainable Supply Chain & Eco-Fulfillment: Drive technical strategy for sustainable retail operations.

Requirements

  • Domain Expertise: Deep understanding of the High Tech business processes.
  • In-depth experience in domains such as Inventory Management, Supply Chain, Trade Promotion, Category Management, or Loss Prevention, with the ability to translate strategic requirements into impactful solutions.
  • 8+ years leading end-to-end technical pre-sales and post-sales engagements within the High Tech space.
  • Domain Expertise:
  • Technical Proficiency:
  • Solid knowledge of Python and common ML libraries (LangChain, pandas, pydantic, sklearn, PyTorch), as well as data engineering tools relevant to handling large-scale POS, transactional, and inventory data.

Nice to have

  • Sponsorship is not available for this role.
  • Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
  • Master's Degree in computer science, business analytics, engineering, mathematics, or a related field (or equivalent work experience) preferred.

Skills

  • Nice to Have
  • LLM Ecosystem: Working knowledge of OSS packages like LangChain or LlamaIndex.
  • Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off).
  • $196,000 - $230,000 USD
  • What Celonis can offer you:
  • Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
  • <span style="text-decoratio
  • Celonis is the trusted platform to industrialize Enterprise AI.
  • Role Description

Compensation

  • The base salary range below is for the role in the specified location, based on a Full Time Schedule.

Benefits

  • AI Discovery & Solutioning: Understand customers' AI strategies and sector-specific challenges (e.g., demand forecasting, out-of-stock prevention, shelf placement, trade spend analytics).

Company info

  • Join our mission to make processes work for people, companies, and the planet.
  • Using our PI platform, we feed operational context to AI, bridging ERP, WMS, POS, and e-commerce platforms so it understands our customers' complex commercial realities.
  • Agentic Process Transformation: Shift customers from traditional, rule-based automation to autonomous AI agents empowered by Process Intelligence (e.g., autonomous inventory replenishment, intelligent deduction management), ensuring real ROI on AI deployments.

Visa & Work Authorization

  • Sponsorship is not available for this role.
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This listing is sourced directly from Celonis's careers page and normalized into a canonical job model.