Find your next AI-scored role.

Senior AI Engineer at Datadog building LLM and agent-based features for Application Performance Monitoring. Focus on designing AI workflows for debugging, optimization recommendations, and intelligent monitoring at scale.

Senior AI Engineer at Datadog building LLM-based agents for developer productivity. Focus on prompts, evals, agent tools, and productionizing AI systems integrated with Datadog products.

Product Manager II for Datadog's Model Lab, a new experiment tracking platform for ML/AI teams. Define product vision, validate market, and drive execution for a 0→1 offering integrating with Datadog's observability platform.

Product Manager II for Identity Security at Datadog, building cloud identity and access security capabilities within Cloud Security Management. Focus on identity inventory, posture rules, and permissions analysis for multi-cloud environments.

Manager II, Engineering leading multiple teams in Datadog's Applied AI group. Oversees AI-powered features, ML models, agents, and conversational AI systems across the observability platform. Drives technical vision, team development, and production AI at scale.

Manager II, Engineering at Datadog leading AI platform teams building training, serving, and storage infrastructure. Manages ~20 people across 2-3 teams, defines technical roadmap, and partners with applied AI and product engineering teams.

Engineering manager at Datadog leading a 4-8 person team building OrgStore, a Postgres-based data storage platform. Responsible for team mentorship, technical roadmap, and infrastructure reliability.

Manager I, Engineering at Datadog leading a small data engineering team building the Core Analytics Data Access Platform. Role balances team leadership with hands-on coding on scalable data pipelines, ETL/ELT workflows, and platform services for AI and analytics teams.

Manager I, Engineering at Datadog leading a CodeGen team building AI systems for code understanding, generation, and automated changes. Oversees production systems for model serving, evaluation, and PR automation integrated with observability.

Engineering Manager at Datadog leading a Code Coverage team building AI-powered developer tooling. Role involves team leadership, hands-on architecture work, and partnering with product to evolve the platform using LLMs and production signals.

Engineering manager at Datadog leading the Training & Serving team within the AI Platform organization. Responsible for building distributed training and inference infrastructure, managing 10+ engineers, and defining technical roadmap for large-scale AI systems.

Manager I, Engineering leading a team building natural language query and conversational AI systems at Datadog. Oversees LLM-powered interfaces, evaluation frameworks, and agentic architectures for the observability platform.

Research Scientist at Datadog AI Research building foundation models and trained agents for cloud observability. Focus on multimodal world models, reinforcement learning, and autonomous SRE agents using distributed training infrastructure.

Senior Staff ML Engineer at Reddit leading user understanding and personalization systems. Design and build large-scale user models, embeddings, and LLM-based representations powering feeds, search, notifications, and ads across 126M daily active users.

Senior Solutions Architect at Databricks helping telecommunications customers design and adopt the Data Intelligence Platform. Requires Python/Java/Scala coding experience, cloud platform expertise, and ability to influence C-level stakeholders on data analytics architecture.

Research Engineer at Anthropic building RL training infrastructure and tooling. Focus on removing bottlenecks in the RL stack, improving researcher velocity, and ensuring reliability of large-scale training runs.

Research Engineer at Anthropic building RL training infrastructure and tooling. Focus on removing bottlenecks in the RL stack, improving researcher velocity, and ensuring reliability of large-scale training runs.

Data Scientist at Figma's Core Data team building experimentation platforms, analytics infrastructure, and ML-based analytical systems. Focus on causal inference, statistical modeling, and AI-powered feature measurement for product teams.

Clinician Scientist at Abridge building AI-powered clinical documentation tools. Combines clinical expertise with AI model development, prompt engineering, and validation to improve healthcare workflows and patient care.

Software Engineer at Replit stewarding developer experience, tooling, and codebases. Focus on build systems, code quality automation, and partnering with the AI team to improve the Agent's output and default stack.

Staff Solutions Engineer at Kong helping enterprises architect API and AI connectivity platforms. Role combines technical advisory, customer POC support, and thought leadership on API management and agentic AI governance.

Senior Manager, Machine Learning at Twilio leading a team building fraud detection and risk prediction systems. Oversees ML model development, data pipelines, and platform reliability for communications safety across messaging, voice, and email channels.

Software engineer at Figma building code-to-design translation infrastructure and LLM-powered code generation systems. Focus on AI integration, performance optimization, and platform scalability for design-to-code workflows.

Engineering Manager at Webflow leading the Developer Productivity team. Responsible for developer experience across CI/CD, build systems, and internal tooling, with explicit focus on integrating AI agents into developer workflows.

Solutions Architect at Databricks designing scalable data architectures for enterprise customers. Combines technical depth in big data, data warehousing, and ML with customer-facing pre-sales consulting to drive platform adoption.