Top Tech Jobs & Startup Jobs

Own end-to-end partner analytics: build SQL/Python models, automate reporting pipelines, design Looker/Metabase dashboards, leverage Google Sheets and AI tools to produce executive insights, improve partner performance, and enable data-driven decisions across Channel Partners.

As a Staff Fullstack Software Engineer, lead technical strategy, system evolution, operational excellence, and mentor teams while promoting wellbeing at work.

As a Senior AI Platform Engineer, you'll maintain and evolve ML infrastructure for scalable AI applications, drive MLOps best practices, and collaborate effectively across teams to standardize engineering excellence.

Manage and grow a portfolio of channel partners in São Paulo: recruit, onboard, train, and support partners to drive revenue. Monitor partner performance, implement improvements, liaise with internal teams, and identify market trends to optimize indirect sales and expand market reach.

Provide commercial legal support across European jurisdictions: draft, review, and negotiate commercial agreements; advise business stakeholders; optimize contract processes and templates; implement Legal Tech (AI/CLM) solutions; develop SOPs and training; ensure regulatory and data protection compliance while enabling business strategy.

Drive partner acquisition by prospecting, qualifying, and closing businesses for Wellhub’s wellness platform. Execute high-volume outbound outreach (50+ cold calls/day), manage full sales cycle, deliver presentations, negotiate agreements, maintain CRM accuracy, hit quotas, and collaborate cross-functionally while supporting company wellbeing values.

Own and evolve cloud-native MLOps infrastructure (Kubeflow, Feast, Spark on K8s), build developer-focused tooling and APIs, standardize ML CI/CD and observability, drive LLMOps lifecycle practices, and collaborate with Infrastructure and Data teams to integrate ML artifacts into governance and data catalog frameworks.

Design, build, and operate AI-powered backend services and APIs for production LLM features. Ensure reliability, low latency, cost efficiency, observability, and event-driven architectures; review designs and help move experiments to production.