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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New, Posted just now

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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

SmartExplore AI is experimental.