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.

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Sr. Radar Systems Engineer

Lockheed Martin

Edison, NJ 08817

New, Posted 1 hour ago

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CAD Engineer

UVEye

Teaneck, NJ 07666

~ 20 min Onsite

3+ years of experience using CAD software in a professional environment
Strong ability to visualize and design in three dimensions
Experience working within CRM systems (Salesforce, Zendesk, or similar)
Strong written and verbal communication and collaboration skills
Ability to work both independently and as part of a team
Comfortable managing complex projects and seeing them through to completion
Ability to sit for extended periods while working with design software
Ability to meet project timelines and deliver high-quality designs with urgency
Comfortable working in a fast-paced, evolving startup environment
Ability to incorporate feedback quickly and iterate on designs efficiently
Commitment to continuous learning and professional development
Associate's degree (2-year) in Engineering, Drafting, or a related field preferred
Bachelor's degree or relevant technical certifications a plus

SmartExplore AI is experimental.

New, Posted 22 hours ago