596 Full Stack Web Developer Python Aws jobs in New York,NY

Ability to lift up to 35 pounds, safely climb ladders, wear personal protective and ESD gear correctly, and stand and walk throughout the facility for extended periods without loss or reduction of productivity.
CompTIA A+ or equivalent experience.
CompTIA Server+ or equivalent experience.
Windows OS experience.

SmartExplore AI is experimental.

New, Posted just now

ResumeLibrary

Store General Manager

Petco

Brooklyn, NY 11238

~ 26 min OnsiteFlexible ScheduleBilingual PreferredHealth InsurancePaid Time OffRetirement Benefit

3+ years of management experience (retail leadership preferred)
Education
High school diploma or GED preferred
Completion of Petco leadership development programs may be required for internal candidates
This role is primarily performed in a Pet Care Center retail environment
The General Manager is expected to be regularly present on the sales floor, leading by example and engaging with partners, customers, and pets
Majority of work is conducted indoors; however, occasional duties may require leaving the Pet Care Center for tasks such as bank deposits, merchandise transport, or community events
The role requires frequent standing and walking, as well as bending, kneeling, reaching, and lifting
Ability to safely lift and move merchandise, supplies, or animals weighing up to 50 pounds
Must be able to work in proximity to animals, including exposure to animal dander, odors, noises, and cleaning chemicals
Flexible availability to support Pet Care Center operating hours, including evenings, weekends, and holidays
This is a full-time position. Eligibility for full-time status is based on average hours worked, as defined by company policy and applicable law
A limited amount of travel may be required for training, meetings, or community engagement

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

SmartExplore AI is experimental.