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Leads and grows a full-stack engineering team building GM’s commercial eCommerce platform. Owns the technical roadmap, architecture, system design, code reviews, incident resolution, and end-to-end software delivery across catalog, billing, payments, and monetization services. Partners with Product, Design, Business, and Sales stakeholders while ensuring fault tolerance, financial data integrity, compliance, operational excellence, and production reliability.

Leads CAE and finite element structural analyses for complete vehicle structures, including body, chassis, interior, glass, bumpers, modules, and closures. Develops analysis capabilities, creates FEA plans, interprets results, recommends mass- and cost-efficient design solutions, coordinates internal and supplier resources, supports validation, and contributes to new vehicle development programs.

Manage semiconductor suppliers, purchasing, negotiations, performance improvement, supply continuity, risk mitigation, and commercial execution. Build supplier dashboards and reports using Excel, Power BI, and GM systems. Partner with engineering, manufacturing, and purchasing teams to resolve supply issues, improve resiliency, track commitments, and deliver executive-ready updates.

Leads NBCUniversal’s privacy product portfolio end to end, defining strategy, roadmap, and execution across enterprise privacy capabilities. Translates global regulations and internal standards into scalable products such as consent, preference, and consumer rights management solutions. Partners with engineering, legal, security, data, and operations teams; integrates SaaS platforms; manages stakeholders, vendors, risks, and delivery milestones; and ensures compliant, technically sound product outcomes.

Leads NBCUniversal’s enterprise privacy product portfolio, owning strategy, roadmap, and execution. Translates privacy regulations and internal standards into scalable capabilities such as consent, preference, and consumer rights management. Partners with engineering, legal, security, data, and operations teams to deliver compliant products, integrate SaaS platforms, manage stakeholders, and execute complex initiatives across a large organization.

Lead the design, development, deployment, and optimization of AI/ML solutions tailored to enterprise customers. Build integrations using Python, JavaScript, APIs, and microservices; oversee production monitoring and evaluation; address AI risk, privacy, and compliance; influence product direction; and mentor engineers while aligning technical solutions with business goals.

Build and maintain core infrastructure for developing, training, evaluating, deploying, and operating machine learning models and pipelines for Atlassian’s GenAI products. Solve complex software infrastructure and architecture challenges, lead engineers through technical projects from design to launch, and collaborate with internal teams and customers. The role involves large-scale distributed systems, data processing, cloud platforms, CI/CD, and machine learning lifecycle support.

Lead the design, development, deployment, and continuous improvement of AI/ML solutions for enterprise customers. Build integrations using Python or JavaScript, APIs, microservices, and enterprise systems; analyze data; automate workflows; manage AI risk, privacy, and compliance; mentor engineers; and align technical solutions with business objectives.

Leads the company’s embodied AI strategy and a 45+ person organization spanning real-time controls, reinforcement learning, dexterous manipulation, VLA models, and autonomous planning. Owns technical architecture, data collection, model development, evaluation, safety, deployment readiness, and customer outcomes. Partners with executives on product strategy, recruits top research and engineering talent, and unifies learned and classical control systems into reliable humanoid robot capabilities for commercial use.

Own full-cycle recruiting for 8–12 concurrent North America sales searches, focusing on SDR and Associate Account Executive hiring. Partner with senior sales leaders to develop hiring strategies, build talent pipelines, manage recruiting-funnel data, improve process conversion, lead interviews and debriefs, and deliver a high-touch candidate experience. The role requires consultative stakeholder partnership, creative sourcing, strong organization, and judgment in evaluating sales and AI talent.

Build and scale data products supporting analytics, engineering services, and AI/ML models. Responsibilities include optimizing queries and data pipelines, developing data models and governance processes, administering ETL/ELT and reverse ETL orchestration, and creating documentation and training. The role also involves mentoring, interviewing, and hiring data engineers while helping define the organization’s data engineering strategy.

Manages commercial strategy initiatives, including lottery RFPs, business development proposals, financial modeling, market and consumer analysis, KPI dashboards, and executive reporting. Develops business cases, pricing and ROI analyses, competitive intelligence, and strategic recommendations to support growth, market expansion, product launches, and partnership evaluations. Coordinates cross-functional stakeholders and communicates insights to senior leadership, the Board, and corporate development teams.

Develop and deploy computer vision models and pipeline components for commercial and government GEOINT data. Responsibilities include imagery standardization, data engineering, experimentation, deep learning, synthetic and generative AI applications, pipeline evaluation, cloud and containerized deployment, and briefing technical results to internal teams and customers.

Designs, administers, optimizes, and supports mission-critical PostgreSQL environments. Responsibilities include performance tuning, indexing, partitioning, high availability, replication, backup and disaster recovery, monitoring, capacity planning, and automation. The role supports Linux-based, cloud-enabled, containerized, and secure government data platforms while collaborating with software, data engineering, DevSecOps, and systems teams.

Owns end-user consumer marketing across email, direct mail, lifecycle, and other engagement channels. Responsibilities include campaign strategy and execution, onboarding and retention programs, product launches, audience segmentation, performance reporting, testing, optimization, and cross-functional collaboration with Product, Growth, Client Success, and white-label partners.

Manages daily office and facilities operations, including upkeep, reception, supplies, kitchen programs, vendor coordination, budgets, inspections, repairs, conference rooms, events, safety procedures, and employee onboarding support. Supervises facilities staff and vendors, tracks inventory and expenses, maintains office standards, and serves as the local escalation point for operational issues. The role is fully onsite in New York, begins at 7 a.m., and requires a hands-on approach.