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Founding Backend Engineer Ai Focus Atrix

New York,NY

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722 Founding Backend Engineer Ai Focus Atrix jobs in New York,NY

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AI Engineer

Capital One

New York, NY 10001

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Head of AI Data Science, Intelligence Ventures

Spectrum Careers

New York, NY 10025

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Freelance Legal Content Specialist

Uber AI-Solutions

New York, NY 10001

Remote

  • JD or LLM from an accredited institution
SmartExplore AI is experimental.
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Senior Vice President, Product Design Lead, Platform

BNY

New York, NY 10261

$102,000-$246,000/yr
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Freelance Legal Content Specialist

Uber AI-Solutions

Chinatown, NY 10013

Remote

  • JD or LLM from an accredited institution
SmartExplore AI is experimental.
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Enterprise Sales Engineer II, Spectrum Business

Spectrum

New York, NY 10010

Onsite

  • High school diploma or equivalent from an accredited organization (GED)
  • Read, write, speak and understand English
  • Work closely with sales executives and proven knowledge of the sales cycle
  • Knowledge of Metro Ethernet technologies (EPL, EVPL, ELAN), LANs, WANs, email, DNS, TCP/IP, firewalls, VPNs and data security methods
  • Sales skills in presentation and proposal design
  • Understanding of networking technologies: TCP/IP, IP VPN, MPLS, VPLS, Ethernet, VoIP, SONET, DWDM
  • Familiarity with networking fundamentals: routers, switches, LAN, MAN, WAN, DS3, OC-x, CSU/DSU and CPE
  • Consultative approach with strong knowledge of converged multimedia applications
  • Experience with voice networking including VoIP, signaling protocols, PBX, and routing protocols: BGP, ISIS, OSPF, RIP and emerging technologies
  • Understanding of business drivers, industry trends and regulatory shifts in targeted vertical markets
  • Proficiency with MS Visio, Word, Excel, PowerPoint and MS Project
  • Valid driver's license, satisfactory driving record and auto insurance coverage
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
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New, Posted 1 day ago
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Software Engineer II - Manifest Delivery

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$120,300-$161,300/yr
New, Posted 14 hours ago
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ResumeLibrary
Sales Enablement Lead

NetApp

New York, NY 10001

HybridHealth InsurancePaid Time OffRetirement Benefit

  • 12+ years of experience in Sales Enablement, Technical Sales Enablement, or a field‑facing role (Sales or Solution Engineering experience strongly valued)
  • Deep understanding of B2B enterprise sales motions, complex technical solution selling, and value‑based selling
  • Proven experience designing and delivering large‑scale, role‑based enablement programs
  • Strong understanding of how Sellers and Partners collaborate to win complex deals
  • Demonstrated ability to apply modern AI tools to sales and technical enablement (e.g., AI‑assisted content creation, in‑the‑flow coaching, role‑based learning, deal and account intelligence) to improve enablement effectiveness and field execution—without owning AI platforms or governance)
  • Ability to influence without authority and lead through cross‑functional collaboration
  • Excellent communication skills, executive presence, and comfort working with senior leaders
SmartExplore AI is experimental.
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Sr Software Engineer

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$148,700-$199,400/yr

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