Top Tech Jobs & Startup Jobs

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Lead marketing performance analytics across paid, earned, and owned channels; track full-funnel metrics to revenue; partner on strategic planning and targets; manage ad-hoc analytics and executive/Board reviews; optimize lead scoring and attribution with rigorous validation; design interactive dashboards; support closed-loop marketing reporting and customer journey optimization via omni-channel activation and A/B testing.

Own product vision, strategy, and execution for North. Set 6–18 month roadmap, drive activation/adoption/retention/expansion, run experiments and metrics, engage enterprise customers, partner with research and engineering to productize model capabilities, and build and lead a high-performing PM and documentation team while ensuring security and time-to-value for enterprise deployments.

Build and ship end-to-end features and agentic automations for North, Cohere's AI workspace for finance. Integrate financial data sources, enforce data isolation and RBAC, collaborate with Product/UX/ML/Sales, work with finance customers, ensure reliability/security/auditability, and iterate on platform capabilities using AI where appropriate.

Lead North's integrations strategy and execution: prioritize, ship, and drive adoption of connectors and ecosystem tooling. Partner with customers and engineering to convert integrations into reusable platform capabilities (auth, connector framework, data sync, permissions). Define developer/partner experience (APIs, SDKs, plugins) and instrument analytics to measure adoption, time-to-stand-up, and retention.

Build and maintain North's Agents & Automations platform: design and ship frontend and backend features, execution engine, integrations, debugging, observability, evaluation, and feedback systems to enable reliable AI-powered workflows.

The Staff Software Engineer will develop and deploy high-performance machine learning systems, optimizing large language models for production environments. Responsibilities include ensuring high availability and low latency for AI applications and working collaboratively across teams.

As a Senior HR Business Partner, you will support growth and enhance employee experience through talent strategy, organizational design, and critical HR projects while collaborating with tech leaders.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

The Site Reliability Engineer will develop, deploy, and operate AI infrastructure, focusing on high-performance and scalable machine learning systems using Kubernetes and cloud platforms.