Top Tech Jobs & Startup Jobs

Optimize visual AI model inference across architectures, algorithms, runtimes, GPU kernels, and distributed systems. Profile workloads, identify compute and memory bottlenecks, improve latency, throughput, memory efficiency, and GPU utilization, and develop benchmarking infrastructure. The role involves techniques such as quantization, sparsity, caching, compilation, attention optimization, custom CUDA or Triton kernels, and multi-GPU execution while collaborating closely with research scientists.

Administer and optimize Gainsight, Gong, and related Customer Experience systems. Build workflows, health scores, dashboards, integrations, and customer success programs supporting onboarding, renewals, and risk mitigation. Maintain data integrity, gather requirements, lead system enhancement projects, and collaborate with CX, Product, and RevOps teams. Provide training, documentation, stakeholder communication, and operational insights through KPIs and reporting.

Designs and delivers training programs for manufacturing and corporate employees, covering safety, quality, technical skills, leadership, and professional development. Partners with managers and subject matter experts to identify skill gaps, evaluates training effectiveness, coordinates external vendors, maintains LMS and certification records, and mentors other trainers. The role promotes safety and continuous learning across MPS facilities and requires up to 40% travel.

Manage LTX’s B2B events portfolio, including conferences, sponsorships, meetups, and networking programs. Evaluate event opportunities, maintain scoring and tiering models, manage budgets, contracts, vendors, creative production, logistics, and attendee coordination. Lead event execution from planning through post-event reporting while ensuring alignment with brand standards, sales goals, and business priorities.

Own strategic Revenue Operations across forecasting, funnel analytics, GTM planning, sales operations, deal desk, pricing, commissions, data governance, and AI transformation. The role establishes reliable forecasting and unified revenue data, leads annual planning and reforecasts, manages commission systems and pricing operations, and drives AI-enabled workflows. Reporting to the COO, the director leads a distributed team and influences Marketing, Sales, Customer Success, Finance, Data, Systems, and AI teams.

Supports private-market document processing, data-quality reconciliation, exception triage, workflow management, and offshore team coordination. Serves as a subject-matter expert on private-market data, analyzes trends, documents operational logic, identifies process improvements, and collaborates with Product, Data, and Engineering teams on roadmap and systemic fixes. Provides operational summaries and data-quality reports to support client-facing teams.

Manages technology enablement for internal teams and end users by building Intercom bot automations, maintaining CX platforms, creating knowledge and marketing content, producing videos, and implementing API integrations. Partners with Deployment, Support, Product, and cross-functional stakeholders to improve operational efficiency, document requirements, prioritize enhancements, maintain tools, and support acquisitions and global localization.

Apply machine learning and generative AI systems to extract clinically relevant information from oncology records. Validate AI-generated datasets, analyze model and dataset performance, define training and evaluation requirements, support data product development, and collaborate with clinicians, researchers, engineers, and international stakeholders to productionize and monitor models used in cancer research.

Processes annuity paperwork, monitors business inflow, maintains Salesforce records, communicates with carrier partners, financial advisors, sales staff, and clients, compiles operational reports, organizes information, follows up on outstanding tasks, and supports special projects. The role requires accuracy, compliance awareness, analytical ability, strong communication, and adaptability in a hybrid Chicago office environment.

Owns execution of a complex robotics product program spanning hardware, embedded and cloud software, AI models, apps, operations, quality, and certification. Translates product priorities into plans, coordinates multidisciplinary teams, manages risks and dependencies, drives release quality, and provides credible status and tradeoff visibility to senior leadership and the CEO.