Find your next AI-scored role.

Product Manager II at Datadog leading the Code Security roadmap for AI-assisted and agentic coding workflows. Focus on software supply chain security, customer discovery, and launching new capabilities in a fast-growing product area.

Product Manager II for Cloud Detection & Response at Datadog, building unified threat detection and response capabilities within Cloud Security Management. Combines security telemetry with observability data to create workflows for security teams.

Manager II, Engineering leading multiple teams in Datadog's Applied AI group. Responsible for technical vision, team development, and shipping AI-powered features across the observability platform, including LLMs, agents, and conversational AI systems.

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

Manager I, Engineering at Datadog leading the Resource Graph team, which tracks customer infrastructure and supports security products. Oversees distributed systems, hiring, and cross-functional collaboration on a hybrid basis in Paris.

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

Engineering Manager at Datadog leading the OrgStore Blueprint team, a platform infrastructure group building and maintaining mission-critical data storage systems. Manages 4-8 engineers, drives technical roadmap, and contributes to code review and design decisions.

Manager I, Engineering at Datadog leading a CodeGen team building AI systems for code understanding, generation, and automated changes. Responsible for team leadership, production systems, evaluation pipelines, and shipping safe, auditable code-change features.

Engineering Manager at Datadog leading a Code Coverage team in Madrid. Role involves building AI-powered developer tooling, managing four engineers, and staying hands-on with architecture and on-call responsibilities.

Manager I, Engineering at Datadog leading the APM Retrieval team. Responsible for query path services powering traces/spans search and the APM MCP Toolset enabling agentic workflows with APM telemetry.

Manager I, Engineering at Datadog leading the Training & Serving team within the AI Platform organization. Responsible for managing 10+ engineers, defining technical roadmap for distributed training and inference infrastructure, and building team culture while remaining hands-on.

Manager I, Engineering at Datadog leading the Alerting Platform team. Oversees full-stack engineers building core monitoring and alerting systems, from UI to public API, with focus on reliability and incident response.

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

Manager I, Engineering at Datadog leading the Evaluation & Annotation team within the AI Platform organization. Responsible for team growth, technical roadmap, and building systems for AI model evaluation, human annotation tooling, and synthetic dataset generation.

Director of Product Management leading AI-driven product strategy and a team of PMs at Datadog. Responsible for AI observability and security product roadmaps, cross-functional collaboration, and customer-focused innovation.

AI Research Scientist at Datadog AI Research (DAIR) 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 Engineering Manager at Reddit leading the Unified Embeddings Platform team. Responsible for architecting foundational ML embeddings infrastructure, managing engineers, and enabling machine learning teams across the company.

Product Manager for AI Agents at Apollo.io, a $1.6B GTM platform. Own autonomous agent orchestration, progressive autonomy frameworks, and multi-channel delivery for sales reps. Prototype with Claude Code and Cursor; ship fast and measure impact.

Senior Systems Engineer at Cloudflare building core infrastructure for AI inference across a global edge network. Focus on distributed systems, model scheduling, and serverless inference platform optimization.

Engineering Manager at GitLab leading a 9-person team building the AI Workflow Catalog platform. Responsible for shipping AI agent orchestration features, managing distributed engineers, and driving technical execution on the Duo Agent Platform.

Research Economist at Anthropic building macroeconomic models of transformative AI. Develops scenario-based forecasting tools grounded in real-world AI usage data from the Anthropic Economic Index to analyze growth, labor markets, and income distribution.

TPU Kernel Engineer at Anthropic optimizing ML systems for training and inference. Focus on kernel design, low-level performance tuning, and providing feedback to researchers on model-performance tradeoffs.

Technical Program Manager for Inference Performance at Anthropic. Coordinates cross-functional initiatives across inference runtime and accelerator systems, managing model launches, infrastructure transitions, and performance optimization. Bridges research, engineering, product, and safety teams.

Technical Deployment Lead at Anthropic leading delivery of custom AI agent solutions for enterprise customers in regulated industries. Owns end-to-end engagements from scoping through production deployment, managing technical delivery, stakeholder relationships, and value measurement.

Support Operations Specialist at Anthropic building and optimizing Fin, an AI support agent. Role involves configuring conversation flows, integrations with Stripe and other systems, and automated workflows to enable the AI to resolve customer issues end-to-end.