Top Tech Jobs & Startup Jobs

Manage day-to-day operations of a distribution center, lead and develop staff, meet financial and KPI targets, enforce safety and SOPs, oversee inventory and cycle counts, recruit and coach employees, collaborate with cross-functional partners, and drive continuous improvement.

Lead and operate the product launch system for a broad AI product portfolio. Manage launch calendars, plans of record, review workflows, cross-functional alignment, and launch-day execution. Build scalable processes, playbooks, enablement logistics, and retrospectives. When needed, contribute directly to product marketing deliverables and materials. Drive decisions across senior stakeholders and improve adoption of launch operations as a product.

Run and improve the end-to-end model launch operating system: own the launch calendar, plan of record, review workflows, and launch-day execution. Coordinate cross-functional stakeholders (research, legal, policy, communications, sales), develop scalable processes and playbooks, manage internal enablement resources, and perform retrospectives and communications to drive adoption and reliability across releases.

Lead and build a Growth Engineering team to drive user acquisition, activation, and retention. Define technical growth strategy, implement A/B testing and measurement systems, develop scalable experimentation and personalization infrastructure, and collaborate with product, marketing, and data science to prioritize growth opportunities. Recruit and coach engineers and cultivate an inclusive engineering culture.

Monitor, validate, and troubleshoot incoming/outgoing EDI file feeds; review load reports; work with vendors and internal teams to resolve issues; create test cases; update mappings and rules documentation; support EDI team and improve workflows.

Manage client retention and growth for complex healthcare accounts by delivering strategic risk solutions, supporting placements and renewals, preparing client materials, analyzing exposures, handling service transactions, and ensuring regulatory compliance and licensing.

The Operations Support Coordinator manages high-volume case management workflows, ensuring accuracy and coordination of documentation, communication with stakeholders, and adherence to deadlines.

Seasonal Operations Manager overseeing nightly event operations from build to strike. Supervise departments (parking, ticketing, retail, custodial, guest services, security), manage staffing, timecards, SOPs, vendor coordination, crowd control, safety protocols, and quality control to ensure efficient, safe, and high-quality guest experiences.

Lead and mentor engineering teams to design, develop, test, debug, document and deploy secure software solutions. Advocate DevSecOps and secure engineering practices, provide technical strategy, drive cross-team collaboration, manage project priorities and continuous improvement.

Provide customer-focused processing and servicing of financial contracts and plans, coordinate communication among clients, producers and internal teams, review and enter records, research and resolve errors, approve transactions, maintain reports, and support process improvements while meeting service level agreements and regulatory requirements.

Lead and improve administration of financial product services for a service center. Monitor team workflow and service standards, develop procedures and training, mentor staff, review and resolve complex cases and processing errors, conduct quality reviews, and support cross-team best practices and projects.

Develop datasets, models, and evaluation systems for content safety, product security, robustness, and ML fairness for multimodal LLMs. Research and implement bias detection/mitigation, define safety metrics, contribute MLOps automation and safety tooling, and collaborate with engineers, researchers, and data scientists to improve scalable model safety and inclusivity.

Design, build, and optimize GPU‑accelerated inference software and open‑source frameworks (vLLM, SGLang, FlashInfer). Improve performance and scale for LLMs and generative models across NVIDIA GPUs and edge SoCs using CUDA, CUTLASS, Triton, NCCL and profiling tools. Collaborate across teams to enable efficient model serving and deployment.

Develop and maintain Go programs for managing large datacenters using Kubernetes, supporting GPU management integration, and ensuring high-quality products through testing and documentation.

Provide high-volume administrative support to one or more executives in a fast-paced, confidential environment. Manage correspondence, prepare and proofread documents and presentations, run and distribute reports, maintain records, and use MS Office. Requires strong organization, communication, independence, multitasking, and customer service skills.

Designs, builds, and maintains Power BI reports, dashboards, and KPI scorecards. Gathers requirements, writes T-SQL and DAX queries, documents report logic, ensures data integrity, supports report performance, and liaises between business lines and IT. Coordinates peer review, provides user support, and contributes to data warehousing and analytics efforts.

Perform pre- and post-funding loan audits, documentation and system reviews to ensure completeness, accuracy, and regulatory compliance. Prepare financial reports and analyses to support lending decisions, maintain real estate and credit files, track exceptions, assist lending officers in clearing issues, and support internal/external examinations and credit governance meetings.

Design, deploy, monitor, and manage scalable Azure cloud infrastructure and applications using IaC and DevOps practices. Troubleshoot and perform root-cause analysis, implement disaster recovery and cost-management strategies, optimize performance and security, and mentor junior team members while supporting CI/CD pipelines and stakeholder requirements.

Lead full‑stack application development using .NET (Core/8), React/React‑Native and cloud (Azure/AWS). Own technical solutions, design and review architecture, build CI/CD pipelines, run scrum ceremonies, track performance metrics, triage customer issues, and deliver production‑grade microservices and user experiences.

Create and maintain master production schedules to meet customer service goals, optimize inventory, manage finished goods planning, monitor WIP/obsolete inventory, perform supply planning and data analysis, and collaborate cross-functionally to resolve planning and production issues.

Participate on product teams designing and supporting aerospace airframe and engine components. Create CAD models and drawings, support testing and production, develop test procedures/fixtures, troubleshoot test equipment, collaborate with manufacturing and suppliers, and ensure compliance with engineering standards and regulations.

Manage supplier relationships and contract performance to ensure part/order health, lead sourcing activities (selection, negotiation, contracting), resolve supplier issues, drive PO execution and reconciliation, and support procurement projects and policy delivery.

Design, build, and ship production-grade AI and data solutions including LLM-powered applications, ML models, and APIs. Consult on architecture, own features end-to-end, support production, run design-thinking workshops, and collaborate across teams to deliver cloud-based, scalable data and AI capabilities.

Own end-to-end QA for DriveWealth's digital assets products by designing and implementing automated API and event-driven test frameworks. Validate custodial integrations, blockchain settlement, Kafka message flows, and regulatory compliance. Integrate tests into CI/CD, support production incident triage, mentor junior QA, and maintain test reporting and environment configurations on AWS.

The Senior Data Analyst will manage data quality and governance for regulatory compliance, build data marts, and optimize data models for performance and scalability. This role includes supporting regulatory exams, establishing monitoring for data feeds, and translating regulatory requirements into data flows.

Lead the design, development, and implementation of low-latency brokerage systems, mentor engineering teams, and ensure high performance of trading applications.