Top Tech Jobs & Startup Jobs

Lead development of scalable AI platforms and production machine learning services. Design agentic AI capabilities including tool calling, multi-agent systems, planning, reasoning, and human-in-the-loop workflows. Build Python services and Kubernetes-based ML infrastructure, multi-tenant runtimes, data pipelines, and cloud deployments. Apply MLOps, automation, observability, CI/CD, testing, and distributed-systems practices while collaborating with engineers, researchers, and cross-functional teams.

Lead the design, development, scaling, and operation of Workday’s AI model-serving platform. Build distributed systems for traditional machine learning models and large language models, optimize Kubernetes and GPU infrastructure, improve reliability and observability, troubleshoot production issues, maintain CI pipelines, review code, write technical documentation, and mentor engineers while driving architectural decisions.

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.

Perform threat hunting, offensive security exercises, and vulnerability assessments; test detection coverage and gap analysis; develop and refine alerting logic; build adaptive and AI-assisted detection and response capabilities; collaborate across security and business teams to analyze intelligence and improve defenses.

Lead complex customer implementation projects from post-sale through successful delivery. Own delivery strategy, adapt methodologies, manage simultaneous global deployments, facilitate stakeholder alignment, and drive strategic talent and recruiting systems transformations. The role requires project management expertise with HCM, talent, or recruiting implementations; experience with enterprise applications such as Workday, Oracle, SAP, or PeopleSoft; strong communication and facilitation skills; and fluency in English plus German or French.

Manage a portfolio of 20–25 higher education institutions, driving renewals, adoption, executive engagement, and expansion across HCM, Financials, and Student solutions. Serve as a strategic customer advocate, resolve escalated issues, develop customized success plans, monitor telemetry and feature usage, and collaborate with Sales, Services, Product, and account teams. The role requires deep higher education and functional platform expertise, strong executive communication, and travel of up to 30%.

Owns recurring revenue, bookings, and topline KPI reporting for senior leadership. Builds dashboards, financial models, forecasts, scenario plans, and long-range projections. Analyzes revenue trends, variances, risks, and opportunities, translating findings into recommendations and management presentations. Partners with FP&A, Finance, Product, and cross-functional stakeholders while improving reporting and modeling processes.

Lead professional services business development for Workday platform in the Medium Enterprise segment. Partner with account teams to craft deployment strategies, build proposals and project plans, position Workday SaaS value, negotiate services agreements, manage pipeline and forecasts, cultivate partner relationships, and support customer onboarding and training. Drive services-led subscription sales and ensure successful project delivery.

Provide short-form consulting to post-go-live Workday customers: research questions, troubleshoot configuration, deliver demonstrations and presentations, conduct tenant reviews, provide one-on-one adoption guidance, and maintain Workday product knowledge and certifications to drive feature adoption and optimization.

Design and build high-performance backend services and APIs to deploy LLM-based products at scale. Bridge AI research and production, ensure latency, reliability, observability, perform LLM evaluations, and uphold engineering standards for distributed systems.