774 Technical Seo Manager jobs in New York,NY

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Technical Customer Support Engineer, Tier 2

UVEye

Teaneck, NJ 07666

~ 20 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

3+ years of experience in Tier II support, systems administration, or QA engineering
Bachelor's degree in Computer Science or a related field
Proficiency with Linux, Docker, and Kubernetes
Strong troubleshooting skills across hardware and software domains
Hands-on experience with hardware setup, installation, and calibration
Solid understanding of networking (TCP/IP, HTTP, DNS, DHCP)
Experience with cloud platforms like AWS, Azure, or GCP
Familiarity with networking equipment (switches, routers, firewalls, load balancers)
Comfortable using tools like Zendesk, JIRA, and Confluence
Able to work independently and manage multiple priorities under pressure
This role may involve on-site or field-based activities
The salary range listed is $75,000 - $90,000

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Fleet Maintenance and Technical Development Trainer

Interstate Waste Services

Teaneck, NJ 07666

$100,000/yr

~ 20 min Onsite

Required: High School Diploma with 7+ years of progressive maintenance or training experience.
Proficiency in Microsoft Office Suite and Learning Management Systems (LMS).
Ability to analyze data from TMT or comparable fleet software to measure training effectiveness.
Strong communication and presentation skills.
Knowledge of safety regulations, OSHA, and DOT standards.
Self-starter with organizational and follow-through abilities.

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Senior Product Manager II - Tax and Billing

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$155,700-$208,700/yr

New, Posted 8 hours ago

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Data Engineer (SQL, Programming, Healthcare)

MetroPlusHealth

New York, NY 10261

New, Posted just now

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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

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Senior Manager, Network Product Engineering & Operations

The Walt Disney Company (Corporate) Careers

New York, NY 10025

$197,400-$264,700/yr

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Sr. Manager, Machine Learning Engineering

Disney Entertainment Television Careers

New York, NY 10025

$217,300-$270,000/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

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