881 Director System Software Android jobs in New York

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Director, Software Engineering

SAAB

East Syracuse, NY 13057

OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Software Engineering or related discipline.
18+ years of experience in a technical/engineering environment
At least 5+ years in a leadership role focused on engineering management and leading other people managers.
Proven success building, scaling, and leading a high-performing engineering function with preference for Aerospace and Defense experience.
Strong understanding of the product development lifecycle, software engineering principles, anti-tamper cybersecurity and functional execution in regulated industries.
Demonstrated experience contributing to and aligning engineering strategy and execution with broader business and programmatic goals.
Experience shaping organizational direction through technical leadership, innovation, and continuous improvement initiatives.
Ability to lead through ambiguity, anticipating change, mitigating risk, and making sound high impact decisions.
Demonstrated success in developing technical talent and managing team performance.
Deep expertise in software development, especially object-oriented design, UML, and embedded systems.
Proficient in C/C++, Java, and tools like VS Code, DOORS, Git, SVN, and PTC Integrity Modeler.
Experience with multiple development methodologies like Agile, Waterfall, and Spiral.
Willingness to travel up to 10% in support of program and business efforts.
Ability to obtain a Secret level clearance.
Must be a U.S. citizen.
Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information.
As a condition of employment, candidates will be required to pass a pre-employment drug screen.

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

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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