438 Agent Logement jobs in New York,NY

Must be 18 years of age and legally authorized to work in the United States
Must be able to sit, stand, and type for prolonged periods
Valid Driver's License
Basic computer skills (typing, data entry)
This position requires regular, on-site presence and cannot be performed remotely

SmartExplore AI is experimental.

New, Posted 1 day ago

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Vice President, Cross-Functional Client Coverage and Business Development

BNY

New York, NY 10007

Head of Technology, Intelligence Ventures

Spectrum Careers

New York, NY 10025

Sr Software Engineer - AI and Observability

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$148,700-$199,400/yr

New, Posted 23 hours ago

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Tax Professional - TurboTax Store

Intuit

Brooklyn, NY 11225

~ 26 min OnsiteBilingual Preferred

Possess active, unrestricted credentials: EA (Enrolled Agent), CPA (Certified Public Accountant), or Practicing Attorney with strong tax preparation experience and extensive knowledge of tax laws
Have an active Preparer Tax Identification Number (PTIN) as required by law to file taxes
Must possess or be able to obtain any related State licenses, certificates, permits, or bonds
Minimum of 3 years of paid experience filing 50 or more federal and state individual 1040 tax returns per tax season using professional tax preparation software
Familiarity with Circular 230
Must be comfortable working onsite at a TurboTax retail or flagship location, Sunday through Saturday, for a minimum of 20 hours per week

SmartExplore AI is experimental.

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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

SmartExplore AI is experimental.

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