Top Tech Jobs & Startup Jobs

Leads a global organization of 100+ employees and partners responsible for enterprise data platform strategy, architecture, engineering, modernization, reliability, governance, security, privacy, self-service adoption, and AI-enabled capabilities. Oversees platform roadmaps, cloud-native engineering, DevSecOps, production support, vendor partnerships, platform economics, talent development, and executive stakeholder engagement while ensuring regulatory compliance and 24/7 operational resilience.

Supports operations at a healthcare technology company focused on continuous contactless patient monitoring and AI-powered clinical insights. The role involves workflows containing sensitive patient and operational information, though specific responsibilities are not provided.

Supports B2B partner marketing programs for resellers, MSPs, and distributors. Responsibilities include launching campaigns, creating partner content, coordinating webinars and events, managing the partner portal and MDF program, promoting marketing tools, and tracking engagement, utilization, and campaign ROI. The role requires cross-functional collaboration, strong organization, communication, analytical skills, and occasional travel of up to 15%.

Reviews, drafts, and negotiates commercial contracts, including vendor, manufacturing, licensing, merchandising, and services agreements. Manages contract timelines, approvals, repositories, and data; conducts legal and regulatory research; supports internal training; identifies contract risks and process improvements; and coordinates cross-functional contracting initiatives while balancing legal, financial, operational, and compliance considerations.

Reviews life insurance applications for accuracy, completeness, and insurability; makes approvals, declinations, and plan-change decisions within authorization limits. Conducts applicant coverage research, monitors agent practices, identifies underwriting requirements, prepares agent correspondence, and documents case actions. Ensures decisions comply with applicable laws, regulations, contracts, and company compliance standards.

Develops and manages requirements and verification products for complex MILSATCOM space and ground systems supporting the U.S. Space Force. Responsibilities include requirements analysis, stakeholder coordination, configuration and change control support, contractor deliverable reviews, verification planning, technical documentation, and systems integration and test support. The role requires expertise in spacecraft subsystems, systems engineering tools, DoD programs, technical communication, and space acquisitions.

Own GPU fleet capacity operations across neocloud and bare-metal environments. Monitor contracted, provisioned, healthy, and utilized capacity; manage supplier health accountability, replacement SLAs, MTTR, RMA cycles, credits, and remediation. Build reporting and reconciliation processes, coordinate supplier maintenance, and align finance, infrastructure, legal, and security teams to maximize available compute.

Lead technical project success for enterprise AI infrastructure engagements. Collaborate with engineers, clients, and account leaders to capture requirements, decisions, dependencies, risks, and tradeoffs. Track constraints involving security, compliance, data sovereignty, procurement, and restricted environments. Maintain project visibility, align deliverables with business objectives, resolve issues, support implementation-to-operations handoffs, and identify expansion and renewal opportunities. Translate complex technical concepts for engineering, business, and executive stakeholders.

Develop, deploy, and monitor predictive models and algorithmic decision systems for automated sports pricing and market making. Prepare data, build backtesting and simulation tools, analyze model and trading performance, and improve quoting, pricing, exposure management, and execution quality. Create dashboards and diagnostics while collaborating with traders, quantitative engineers, product, and engineering teams. The role includes occasional evenings, weekends, and holidays aligned with major sporting events.

Set the technical direction for machine learning across underwriting, fraud, risk, and personalization. Own the ML platform and modeling roadmap, including feature stores, pipelines, serving, monitoring, governance, and experimentation. Lead high-impact credit and cash-advance models through deployment and iteration, establish model-risk standards, partner with business and compliance leaders, and mentor engineers. This is a hands-on staff role with company-wide technical influence.