Top AI & Machine Learning Jobs

Design and deploy reinforcement learning use cases and end-to-end ML pipelines, transforming customer data into production models. Provide technical guidance to customers, extend platform capabilities, partner with product on RL algorithms, and shape BrazeAI strategy and roadmap.

Embed with non-revenue teams to discover high-leverage workflows, build and ship AI agents/automations on shared infrastructure, coach teams to self-sufficiency, productize durable solutions, and scale reproducible playbooks across the company.

Lead AI Decisioning for Braze Japan, supporting sales as a technical SME and driving post-sale adoption. Deliver demos, discovery workshops, AI education, data integrations (Snowflake/Databricks/BigQuery), experimentation design, technical troubleshooting, and strategic business reviews to optimize AI-driven marketing outcomes.

Embed with functional teams to discover high-value workflows, build and ship AI agents and automations on shared infrastructure, coach teams to self-sufficiency, monitor adoption and quality, productize durable agents into the platform, and document reusable playbooks to scale transformation across the company.

Lead design and delivery of enterprise integrations, automation, and AI-enabled workflows across SaaS platforms. Architect scalable APIs, conversational IT/self-service experiences, and agentic LLM workflows while partnering with Security, Infrastructure, and Product to ensure governance, reliability, and operational excellence.

Lead design and delivery of enterprise automation, integrations, and AI-driven workflows. Architect scalable integrations across SaaS platforms, build conversational self-service and agentic experiences, enable AI/LLM-based automation, and partner with security, infrastructure, and product teams to ensure resilient, maintainable enterprise platform solutions.

Lead AI content-operations product work: embed with content teams, identify automation opportunities, build prototypes and ship AI-powered CMS tools (metadata, conversion, review, assistants), partner with engineering and Sanity platform, and drive adoption across marketing and learning teams.

The role involves collaborating with customers on data integration, enhancing product architecture, and improving reinforcement learning algorithms while ensuring long-term client success.

Embed with business functions to discover high‑value workflows, build and ship AI agents and automations on shared infrastructure, coach teams to self-sufficiency, productize reusable patterns, and rotate to scale AI-driven process transformation across the company.

Design, build, and operate AI agents and decision-support systems embedded in GTM workflows. Conduct stakeholder research, prioritize problems, ship and iterate on agent outputs, monitor adoption and quality, and scale reusable solutions across sales and customer-success motions while staying closely embedded with field teams.