Find your next AI-scored role.

Strategic Account Executive 3 at Twilio managing growth and mid-market communications platform customers. Responsible for protecting and expanding revenue across assigned accounts through consultative sales cycles and cross-functional partnerships.

Senior Channel Partner Manager at Ramp building franchise partnerships for a fintech platform. Role involves sourcing and signing franchise partners, driving referral revenue, and scaling go-to-market strategy across a rapidly growing channel.

Senior fullstack engineer at Coinbase building AI-native consumer products. Focus on designing services that convert natural-language goals into compliant Coinbase workflows, with emphasis on risk/compliance guardrails and cross-functional collaboration.

Head of Finance Systems & Automation at Scale AI, responsible for ERP strategy, financial data architecture, and AI-powered workflow automation. Will lead a finance systems team and partner with CFO and accounting leadership on platform reliability and process optimization.

Engineering Manager II leading Pinterest's Cache Infra team, which operates 100+ production clusters serving 450M QPS. Responsible for building reliable, performant caching systems at massive scale and modernizing the cache tech stack.

Senior software engineer at Anduril Industries building the core simulation platform for military autonomy and mission planning. Focus on C++20 framework architecture, real-time performance, and plugin systems for multi-domain entity simulation.

Senior Software Engineer at Anduril Industries building the core task execution framework for autonomous vehicles in the Lattice Autonomy stack. Focus on distributed systems, fault-tolerant command and control, and third-party integrations for defense applications.

Test and Evaluation Manager at Anduril Industries leading a team of test engineers for the Altius UAS platform. Oversees system-level development testing, hardware/software validation, and flight test operations for autonomous defense systems.

Finance Analytics Engineer at Together AI building the data layer for Finance from scratch. Own dbt models, Airflow pipelines, and Hex dashboards supporting FP&A, Strategic Finance, and Accounting teams.

Senior Software Engineer at Datadog building distributed systems that ingest and process billions of events per second. Focus on fault-tolerant, scalable platforms using Go, Java, Rust, and C++ in multi-tenant environments.

Senior Program Manager for Information Security at Airbnb leading operational initiatives, planning, and efficiency improvements within the InfoSec organization. Collaborates with senior leaders to scale security business operations and support company growth.

Staff Data Scientist, Causal Inference at Airbnb building data-driven frameworks for marketplace optimization. Focus on causal inference modeling, experimentation design, and pricing/ranking strategies across guest and host products.

Technical Support Engineer at Cursor, the AI-powered code editor. Role involves debugging user issues, building internal automations, and partnering with product/engineering to scale support operations.

Senior Staff Software Engineer at Crusoe leading cloud infrastructure and Kubernetes orchestration. Focus on designing scalable, resilient systems for AI compute, mentoring teams, and setting technical direction across distributed systems and infrastructure-as-code.

Senior Software Engineer at Airbnb building cloud networking infrastructure. Designs and operates production network systems including load balancers, service mesh, and cross-region connectivity for global scale.

System Software Engineer at Cerebras building embedded and platform software for the Wafer Scale Engine AI processor. Focus on microcontroller firmware, Linux BSP, system monitoring, and cluster orchestration integration.

Staff Software Engineer building observability platforms at Cerebras Systems, a company making AI inference chips. Focus on designing telemetry pipelines, monitoring infrastructure, and developer tooling for high-scale distributed systems.

Staff Software Engineer at Cerebras Systems building the cloud platform for AI inference. Focus on distributed systems, multi-region architecture, reliability, and latency optimization for high-QPS inference workloads.

Staff Site Reliability Engineer at Cerebras Systems building self-service platforms and automation for AI inference infrastructure. Focus on GitOps-driven CD, observability, and reliability practices for wafer-scale compute clusters serving frontier AI labs.

Staff LLVM compiler engineer at Cerebras Systems designing and implementing low-level compiler components (backend, assembler, linker) for the company's wafer-scale AI chip architecture. Focus on code generation optimization, LLVM mid-end/backend passes, and single-core performance targeting.

Staff Inference ML Runtime Engineer at Cerebras Systems building high-throughput, low-latency inference serving infrastructure for generative AI models on custom wafer-scale hardware. Focus on ML features, multimodal support, performance optimization, and scalable distributed runtime APIs.

Staff full-stack technical lead at Cerebras Systems building the Developer Console for AI inference workloads. Owns critical platform systems including billing, usage tracking, and observability across frontend (Next.js, TypeScript) and backend (GraphQL, Postgres, Redis).

Staff Compiler Engineer at Cerebras Systems designing and implementing features in CSL, a Zig-like language for programming wafer-scale AI chips. Focus on frontend language design, MLIR/LLVM IR lowering, and compiler optimization for next-generation AI hardware.

Sr. Staff/Principal software security engineer at Cerebras Systems securing large-scale AI inference infrastructure. Design and implement security controls across APIs, control planes, distributed systems, and runtime environments for high-performance ML workloads.

Software engineer at Cerebras Systems building kernel reliability and debugging tools for AI compute clusters. Focus on failure analysis, root-cause investigation, and improving reliability of training and inference systems at scale.