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Maximo Java Application Developer

New York,NY

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2678 Maximo Java Application Developer jobs in New York,NY

New, Posted 5 hours ago
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IT Senior Software Developer - Full Stack (Python and JavaScript)

Guidehouse Careers

New York, NY 10025

New, Posted 1 day ago
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Junior frontend developer

Latech Apps

New York, NY 10025

Flexible Schedule
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Business Development Executive, Large Enterprise, Gartner for Finance

Gartner

New York, NY 10007

New, Posted 1 day ago
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Cyber Security Engineer

Chobani

New York, NY 10012

New, Posted 14 hours ago
Sales Engineer Development Associate (Farm Team)

AgHires

Waldwick, NJ 07463

$75,000-$85,000/yr
New, Posted 1 day ago
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Database Administrator (New York, NY - US)

Energy Solutions

New York, NY 10279

New, Posted 14 hours ago
Director, Inventory Development

The Trade Desk

New York, NY 10025

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Senior Sales Operations Analyst

Kenvue

Summit, NJ 07901

Hybrid~ 39 minPaid Time Off

  • Bachelor's degree or equivalent
  • A minimum of 2 years of experience in direct customer sales, business analytics or supply chain required
  • Ability to work effectively in a fast-paced, complex and changing matrix environment
  • Ability to develop persuasive presentations based on data-driven insights and facts to gain support for business strategies and initiatives
  • Ability to complete projects and follow processes to deliver results, including volume achievements
  • Ability to identify and assess risk and prioritize competing demands
  • Strong cross-functional communication, analytical and computer skills, including proficiency in Microsoft Office applications, database tools and web-based applications
  • Proven self-starter with the ability to work independently and drive results in ambiguous, fast-paced and minimally structured environments
  • Up to 15% domestic travel required
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New, Posted 1 day ago
DiversityJobs
GBS Marketing Business Development Executive, LE

Gartner

New York, NY 10007

New, Posted 1 day ago
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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

  • Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
  • Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
  • Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
  • Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
  • Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
  • Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
  • Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
  • Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
  • Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
  • Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
  • Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
  • Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
  • Engineering leadership and team-building experience, including managing senior technical staff — 7 years
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