1299 Developer Advocate jobs in New York,NY

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Account Executive, Business Team Sales -Brooklyn/Queens

T-Mobile

New York, NY 10036

OnsiteUrgently HiringChildcare 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

SmartExplore AI is experimental.

Culinary Agents

Restaurant Manager

L'Amico

New York, NY 10001

Recommended

Service & Engagement Team Leader

Target Stores

Bronx, NY 10467

Flexible Schedule

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Food Service Manager

ARAMARK

New Rochelle, NY 10804

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Loan Sales Specialist

OneMain Financial

Little Falls, NJ 07424

~ 32 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High School Diploma or GED

SmartExplore AI is experimental.

Recommended

DiversityJobs

Manager, Software Project Management (New York, NY - US)

Energy Solutions

New York, NY 10279

Recommended

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Principal Engineer - Python API Development

Fidelity Investments

Belleville, NJ 07109

~ 27 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

SmartExplore AI is experimental.

Recommended

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Customer Care Advocate (Remote)

Serur Organization

New York, NY

Remote

Customer Service Rep Work From Home
Benefits Representative
Remote work

SmartExplore AI is experimental.

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Life Safety Service Sales Executive, Electronic

Johnson Controls

New York, NY 10261

OnsiteHealth InsurancePaid Time Off

Highly Self-motivated and success driven
High energy level with a focus toward customers and a strong desire to succeed.
High degree of self-discipline.
Strong written and oral communication.
Good organizational skills, attention to detail, excellent communications skills and ability to persuade and close sales required.
Ability to obtain appropriate licenses required by national, state and local codes.
Strong knowledge of the fire alarm industry

SmartExplore AI is experimental.

New, Posted 1 day ago

ResumeLibrary

Retail Store Manager

Spectrum

South Richmond Hill, NY 11419

~ 24 min Onsite

Experience: 3-5 years of sales and customer service experience
Working inside a retail store environment
High level of comfort with personal technology
Technical skills: Intermediate knowledge of software programs, including Excel, Word, and PowerPoint.
Abilities: Lift up to 35 lbs. and stand for prolonged periods of time.
Schedule: Travel and flexibility to support store hours as business needs dictate.
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

SmartExplore AI is experimental.