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Manager Of Solutions Architecture

New York,NY

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643 Manager Of Solutions Architecture jobs in New York,NY

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Comprehensive Solutions Account Executive

Trane Technologies

Long Island City, NY 11101

~ 10 min OnsiteHealth Insurance

  • A bachelor of science degree or 4-8 years of demonstrated executive selling experience is preferred
  • 5+ years experience of executive sales experience, preferably within the Healthcare market with a track record of achieving and exceeding sales targets
  • Must be accustomed to and have documented success in financial sales with long, complex, and multi-tiered sales cycles in both public and/or private sectors
  • Ability to engage multiple stakeholders, influencers, and key decision makers
  • Has expertise in the financial, legal, and technical aspects of deal structuring with multiple buying influences within a client
  • Outstanding communication skills – able to educate clients about Trane's Design Build & Energy Services offerings, persuasively articulating costs, savings, investment opportunities, and long-term options for infrastructure renewal and decarbonization
  • DL NUMBER - Driver License, Valid and in State with no major or frequent traffic violations included, but not limited to: DUI, Hit & Run, License Suspension, Reckless/Careless Driving or multiple smaller infractions or preventable collisions in the previous 3 years. within 1 Year Required
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New, Posted 19 hours ago
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HVAC Solutions Advisor (Residential)

A. J. Perri Plumbing, Heating, Cooling

Lake Hiawatha, NJ 07034

$100,000-$200,000/yr
~ 46 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Prior residential in-home sales experience
  • Valid driver's license with clean driving record
  • Ability to enter attics, crawlspaces, and work evenings/weekends as needed
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Senior Vice President, Fund/Client Accounting Manager

BNY

New York, NY 10261

$102,000-$225,000/yr
New, Posted 1 hour ago
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Senior Solutions Architect - Cyber Resiliency

NetApp

New York, NY 10001

HybridHealth InsurancePaid Time OffRetirement Benefit

  • Reside in New York, New Jersey, Pennsylvania, or Massachusetts
  • Frequent travel within these locations
  • 5+ years in a Solutions Architect, Solutions Engineer, or similar pre-sales technical role focused on data protection, security, or storage infrastructure, datacenter technologies
  • Data Protection (Primary Focus) – Deep hands-on experience with enterprise data protection platforms: Commvault, Veeam, Veritas, Cohesity, and/or Rubrik
  • Strong understanding of backup and recovery architectures, disaster recovery planning, replication, and data lifecycle management
  • Experience designing and positioning data protection solutions in complex enterprise storage environments
  • Familiarity with NetApp ONTAP, E-Series, or similar enterprise storage platforms is a strong plus
  • Security – Working knowledge of data security principles including encryption, access controls, ransomware protection, and zero trust frameworks
  • Industry certifications such as CISSP, CISM, or CompTIA Security+ are highly valued
  • Ability to advise customers on securing storage environments and aligning to compliance and regulatory requirements
  • General Qualifications – 5+ years in a Solutions Architect, Solutions Engineer, or similar pre-sales technical role focused on data protection, security, or storage infrastructure, datacenter technologies
  • Experience in an overlay or specialist SE model, supporting multiple account teams across a region
  • Strong presentation and communication skills with the ability to engage both technical practitioners and executive stakeholders
  • Proven ability to identify whitespace opportunities within accounts and drive proactive engagement
  • Self-starter who thrives in a fast-paced, high-volume environment with many concurrent opportunities
  • Willingness to travel within the Northeast region as needed
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Installer

ABC Imaging

Carlstadt, NJ 07072

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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

  • Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
  • Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
  • Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
  • Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
  • Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
  • Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
  • Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
  • Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
  • Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
  • Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
  • Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
  • In-office position preferably based in New York City
  • Travel as required for partner engagements, executive meetings, and industry events
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Account Executive, Business Team Sales - Long Island, Queens, Brooklyn

T-Mobile

New York, NY 10036

OnsiteChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • High School Diploma/GED (Required)
  • 1+ years verifiable new customer acquisition sales experience, preferably within a commissioned environment. (Preferred)
  • Outside B2B sales experience. (Preferred)
  • Task Management Ability to work well in a dynamic, fast changing environment that requires a high degree of multi-tasking. (Required)
  • Customer Service Demonstrated experience delivering superior customer service and attention to detail. (Required)
  • Communication Excellent interpersonal, written, and oral communication skills. (Required)
  • Negotiation Effective negotiating and closing skills, including communication, emotional intelligence, and problem-solving. (Required)
  • At least 18 years of age
  • Legally authorized to work in the United States
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Retail Sales Print Supervisor (New York, NY)

Staples

New York, NY 10060

OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • Able to work a flexible schedule based on the store's needs
  • Experience directing a team and/or supervising others while managing many priorities
  • Basic computer skills to open, save and send electronic files, email, and use Microsoft Word (or similar programs)
  • Attention to detail and keen eye for noticing quality issues
  • Experience overcoming objection and engaging with customers to understand their needs
  • Ability to collaborate and work cooperatively in a high paced and sometimes stressful environment
  • Manage conflict in a reasonable, nonconfrontational and cooperative manner
  • Ability to act with honesty and integrity regarding customer and business information
  • Ability to lift/move materials in the 10-50 pound range, climb ladders, stand and walk continuously
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New, Posted 1 day ago
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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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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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