Top Tech Jobs & Startup Jobs

Secures CI/CD pipelines, cloud infrastructure, software supply chains, and MLOps workflows. Builds controls for AI and LLM security, threat models AI systems, and develops internal AI agents for security automation. Partners with engineering teams on secure development practices, manages secrets and Kubernetes hardening, supports incident response, and reports on DevSecOps maturity and AI security posture.

Supports and improves injection molding processes by optimizing parameters, troubleshooting equipment and production issues, analyzing MES performance data, maintaining process documentation, supporting mold trials and product launches, training production staff, and coordinating with quality, maintenance, and production teams to improve efficiency, quality, and equipment stability.

Design, develop, and validate mechanical components and assemblies for automated matcha hardware. Create CAD models and drawings, perform tolerance, FEA, and DFM analyses, build prototypes, conduct testing, manage BOMs and design documentation, and collaborate with electrical, firmware, controls, and contract manufacturing teams.

Build production agentic applications that automate complex geoscience workflows. Responsibilities include designing multi-agent workflows, integrating tools and APIs, managing persistent state, implementing human-in-the-loop controls, enabling retrieval and evidence grounding, fine-tuning LLMs, evaluating and tracing agent performance, and delivering tested web services with CI/CD. The role also requires sound product judgment, collaboration with domain experts, and responsible use of AI coding agents.

Develop web applications and backend services using Microsoft technologies, Angular, C#, .NET, REST APIs, and SQL Server. Design maintainable architectures, write automated tests, participate in code reviews and Agile delivery, resolve production issues, document systems, clarify requirements, and mentor junior developers. The role also involves enforcing development standards, managing project work, and supporting Azure and DevOps-based solutions.

Repair and maintain complex injection molds in a tool room supporting production operations. Operate mills, lathes, grinders, welding equipment, electrical testing tools, and precision measuring instruments. Work independently to keep molds production-ready, perform precision craftsmanship, and support production demands on a 12-hour night shift with mandatory overtime and possible weekend work.

Supports client engagements through discovery, process mapping, analysis, and readouts. Also contributes to outbound, webinars, executive events, recruiting, marketing research, client coordination, and eventually sales calls. The role requires strong communication, analytical problem-solving, adaptability, AI fluency, client presence, ownership, urgency, and comfort working across functions in a fast-growing AI startup.

Leads technical diligence and investment strategy for emerging AI and machine learning technologies supporting Intelligence Community and Department of Defense partners. Identifies AI/ML investment areas, evaluates startups and mission applications, negotiates Statements of Work, oversees technology development efforts, assesses deliverables, and guides AI architecture and adoption strategies. Presents technical recommendations to technical and non-technical stakeholders while addressing AI security, production deployment, and long-term mission readiness.

Manages an incubation portfolio of merchant service providers, ISOs, payment facilitators, and strategic partners. Drives partner onboarding, activation, revenue growth, sales enablement, training, product adoption, and portfolio performance. Serves as a strategic relationship manager, coordinates cross-functional escalation resolution, conducts business reviews, analyzes CRM and performance data, and supports partner graduation into long-term portfolio management.

Own the architecture and research direction of AI models for earth observation and remote sensing data. Develop and evaluate novel approaches, define success metrics, scale experiments to petabyte-level training, integrate models with agent-based products, plan research roadmaps, and publish findings. The role requires strong AI research expertise, experience shipping AI systems, and comfort modeling non-language data such as images, time series, and sensor data.