Top Tech Jobs & Startup Jobs

Supports company leadership by tracking infrastructure and construction spending, managing vendor invoices and cost reporting, building people analytics dashboards, coordinating cross-functional initiatives, automating internal business processes, and preparing executive presentations. The role requires strong financial and business analytics, spreadsheet, project management, and executive communication skills, with frequent collaboration across recruiting, onboarding, operations, leadership, investors, and external stakeholders.

Leads client relationships and delivery of revenue-driving data projects, coordinates multidisciplinary technical experts, collaborates on research, and drives cross-company initiatives. Supports broader operational work in an early, broad-scope role requiring technical experience, initiative, deadline management, and strong execution. The position is full-time and primarily on-site in San Francisco.

Build and maintain production AI agents, data pipelines, backend services, and supporting infrastructure. Develop tools to run, evaluate, and monitor AI agents; deploy large language model applications; and collaborate with product and security teams on AI-driven features. The role also involves tracking advances in language models and agent techniques and applying improvements to the product.

Lead product management for AI features in a consumer-facing software platform, guiding products from discovery through launch and iteration. Define success metrics, shape personalization and prompting strategies, collaborate with engineering and design, refine AI models, and lead ambiguous 0-to-1 initiatives. The role requires hands-on AI product experience, rapid prototyping skills, customer-facing product management experience, startup experience, and demonstrated career progression.

Own and build the backend and infrastructure platform for a high-volume, data-intensive system. Design real-time ingestion services, scalable data models, query layers, and database performance improvements. Set infrastructure priorities and the technical roadmap while partnering with product engineers and leadership. The role requires strong backend engineering, systems architecture, database, and scaling expertise, with on-site work five days per week in New York.

Own machine learning for physical robots, including data pipeline development, dataset validation, model fine-tuning, training workflows, hardware calibration, and deployment of learned control policies. Improve data and training standards, ensure reliable performance on real robotic systems, and evaluate emerging robot-learning research. The role requires hands-on robotics and applied machine learning engineering experience, with opportunities to support government-related projects.

Own the B2B growth marketing strategy across target-account definition, lead qualification, demand generation, conversion funnels, nurture programs, and sales handoff. Run paid media, organic search, content, events, email, retargeting, and outbound support. Track pipeline and cost per lead by channel, optimize budgets, and collaborate with sales on lead standards, quality feedback, and sales enablement.

Design and build mechanical hardware for automated systems, from concept through prototyping, testing, production, and field deployment. Responsibilities include designing gripping tools and integrated machine systems, building test rigs, conducting hands-on testing, managing supplier production transitions, and installing hardware in live facilities.

Lead enterprise software deployments from discovery and workflow mapping through launch and ongoing account health. Serve as the senior contact for multiple high-value accounts, translate operational processes into technical configurations with engineering partners, manage timelines and stakeholders, and help develop a repeatable deployment playbook. The role requires approximately 30% travel to customer sites, on-site work five days weekly, and availability for a high-intensity 60–65-hour workweek.

Hands-on senior security engineer responsible for building secure libraries, templates, guardrails, and developer tooling. Reviews architecture and code for authentication, authorization, and data exposure risks; conducts threat modeling; strengthens secrets, logging, and auditability; integrates security checks into CI/CD; supports vulnerability remediation, secure development practices, and incident reviews.