Top Tech Jobs & Startup Jobs

Own SMB commercial sales from discovery through close, onboarding, and expansion. Build pipeline, lead consultative discovery, connect customer priorities to ChatGPT and the OpenAI API, and manage business, technical, and executive stakeholders. Maintain forecasts, achieve revenue and adoption targets, identify expansion opportunities, and collaborate with internal teams on complex commercial processes. Provide market insights and help develop scalable sales systems, processes, and playbooks.

Designs and executes comprehensive tests for AI hardware systems spanning components, boards, racks, and data centers. Develops test methodologies, debugs hardware, power, thermal, and high-speed interconnect issues, and analyzes performance data. Collaborates with design, manufacturing, firmware, vendors, and lab operations teams. Maintains test equipment and automates testing with Python, Bash, and test frameworks. Requires extensive data center hardware validation experience and expertise with high-speed interfaces and electrical and thermal instrumentation.

Build and deploy AI systems for legal customers, from workflow discovery and proof of concept through production adoption. Embed with law firms, develop full-stack solutions, guide customer adoption, contribute production code, and create reusable tools and deployment patterns. Translate customer needs into product feedback and collaborate with Research, Product, GTM, risk, compliance, and executive stakeholders. Deploy reliable LLM-powered systems with appropriate evaluation, guardrails, and operating standards.

Leads and develops a team of Applied AI Engineers driving Codex adoption for strategic customers. Oversees technical engagement strategy, AI-enabled development workflows, agentic systems, evaluations, architectures, and implementation challenges. Partners with Sales, Product, Research, and Engineering to translate customer needs into product insights and reusable technical patterns. Serves as a senior technical advisor, coaches engineers, establishes operating models and best practices, and champions safe, reliable AI adoption.

Lead the Solutions Architecture team, managing complex implementations of AI solutions, mentoring technical staff, and aligning customer needs with product roadmaps.

Build scalable data models, pipelines, metrics, dashboards, analytical tools, and self-service data products for Go-to-Market teams. Partner with stakeholders to solve ambiguous business problems, establish data strategies, operationalize trusted metrics, and communicate insights through persuasive narratives. Own data products from exploration through production and maintenance, balancing immediate needs with long-term scalability while applying strong analytics engineering practices and AI-assisted development tools.

Develop and maintain operating system foundations across kernels, userspace services, daemons, security mechanisms, performance and power systems, debugging tools, and application-facing APIs. Build secure, privacy-preserving, reliable platform software; diagnose kernel and userspace failures; support graphics, input, lifecycle, and update systems; and improve testing, observability, release readiness, and production hardening in collaboration with hardware, embedded, firmware, application, and product teams.

Build and deploy AI systems for legal customers, embedding with law firms to identify high-value use cases, prototype solutions, and drive production adoption. Own technical delivery from discovery through deployment, build full-stack systems, guide customer adoption, codify repeatable tools and patterns, and provide feedback to Product and Research. The role requires customer-facing engineering ownership in regulated environments, production-grade coding, LLM deployment, evaluation, guardrails, and cross-functional communication.

Owns the Business Marketing portfolio system and manages intake, prioritization, routing, staffing, capacity planning, and decision tracking. Evaluates requests, aligns work with business priorities, matches projects to internal teams or external resources, and creates tradeoffs when capacity is constrained. The role builds lightweight workflows, reporting, and AI-enabled systems to improve resource planning and portfolio visibility while communicating prioritization decisions across highly matrixed marketing teams.

Own joint go-to-market and co-marketing programs across strategic technology partners and ISVs. Develop ecosystem messaging, launches, campaigns, customer stories, events, enablement, and demand generation. Prioritize partner investments, coordinate cross-functional stakeholders, and measure pipeline, revenue, adoption, engagement, and partner health. This individual contributor role requires influencing internal and external teams, simplifying complex technical concepts, and operating effectively in ambiguous, fast-moving environments.