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Software Growth Engineer

New York,NY

652 Software Growth Engineer jobs in New York,NY

New, Posted 15 hours ago
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Sr. Project Engineer

MasTec Industrial

New York, NY 10261

$130,000-$160,000/yr
Urgently Hiring
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Senior Software Engineer - Build Tooling Infrastructure

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$141,900-$190,300/yr
New, Posted 22 hours ago
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AI Platform Engineer

MassMutual

New York, NY 10012

New, Posted 1 day ago
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Tax Preparer – In-Store

Intuit

Brooklyn, NY 11238

~ 26 min OnsiteUrgently HiringBilingual Preferred

  • Active, unrestricted credentials: EA (Enrolled Agent), CPA (Certified Public Accountant), or Practicing Attorney
  • Active Preparer Tax Identification Number (PTIN)
  • 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
  • Must reside within the United States
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New, Posted 1 day ago
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Engineer

Capital One

New York, NY 10001

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Water / Wastewater Design Engineer

Boomi Environmental LLC

New York, NY 10018

$85,000-$125,000/yr
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Transportation Engineer

HARDESTY & HANOVER

New York, NY 10001

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Senior AWS Redshift Data Engineer (Contract | 1099)

BrainTrust

New York, NY 10001

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Lead Machine Learning Engineer

Disney Entertainment Television Careers

New York, NY 10025

$179,700-$225,000/yr
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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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