Top Tech Jobs & Startup Jobs

Design, implement, and operate scalable ML Runtime microservices and developer tooling. Build infrastructure-as-code, CI/CD pipelines, container orchestration, monitoring, and automation on public cloud. Collaborate with ML teams, provide on-call support, and drive platform reliability and developer self-service.

Design and build core, scalable platform capabilities for AI-powered developer experiences. Own API/SDK design, implement reliable production services, collaborate across teams, mentor engineers, participate in architecture decisions, and produce technical documentation.

Lead strategy, planning, and operational execution for Legal, Compliance & Corporate Affairs (LCCA). Define annual strategy and OKRs, optimize operating rhythms, manage budgets and vendor/legal spend, support cross-company alignment, and grow a small finance and program management team. Drive continuous improvement, culture, development programs, and adoption of AI to elevate LCCA performance.

As a Senior/Principal Machine Learning Engineer, you'll design and build core ML systems for Workday's AI agents, collaborating with cross-functional teams on models and deployment for real-world applications.

Lead design and delivery of high-throughput, low-latency APIs and backend services. Define API standards (REST, GraphQL, OpenAPI), drive performance, observability, scalability, and resiliency. Coach engineers, participate in design reviews and incident response, and build frameworks to simplify API development for product teams.

Set architectural direction for ITSM/ESM, DevOps, and Platform AI; design scalable, secure ServiceNow and cloud-native platform solutions; embed LLM/AI automations; define DevSecOps and SDLC standards; lead design reviews, mentor engineers, and guide cross-functional technology decisions.

Operate, monitor, and maintain Workday
s Core Platform to ensure high availability and security. Automate infrastructure and CI/CD pipelines, improve observability and incident response, troubleshoot platform issues, document systems, and collaborate with engineering teams. Support federal contracts requiring U.S. citizenship and potential security clearance; may require onsite presence in the DC/MD/VA area.

Lead architecture and design of scalable, resilient microservices and distributed systems. Drive cross-team technical strategy, observability, automation, AI-assisted engineering integration, and cloud cost optimization (AWS/GCP). Mentor senior engineers, reduce technical debt, and deliver phased plans for high-impact platform capabilities and operational excellence.

Manage a portfolio of Sana Learn customers to drive adoption, engagement, and measurable business outcomes. Define success plans and KPIs, monitor health, mitigate risks, lead executive reviews, identify expansion opportunities, and translate customer insights into scalable AI-native playbooks and adoption strategies. Partner cross-functionally to embed guidance and support renewals and long-term growth.

Drive net-new enterprise sales by managing complex, long sales cycles; orchestrate internal teams; build executive relationships; develop territory strategy; provide product feedback and maintain accurate pipeline and forecasts.