Find your next AI-scored role.

Backend engineer at Hightouch building control plane infrastructure for enterprise customer onboarding and deployment management. Focus on access control, change management, and data warehouse optimization for a composable CDP platform.

Software engineer at Hightouch building high-throughput streaming systems that ingest and process billions of behavioral events for an agentic marketing platform. Focus on infrastructure, real-time computation, and scaling to millions of messages per second.

Backend engineer at Hightouch building Customer Studio, a no-code data activation platform. Focus on data warehouse performance, real-time audience syncing, and analytics infrastructure for marketing teams.

Staff ML Engineer at Airbnb building machine learning models and infrastructure for host personalization products. Focus on end-to-end ML pipelines, model serving, and cross-functional collaboration with data science and product teams.

Engineering Manager at Vanta leading a team building the Vanta Agent product, an AI-first platform for automating audit readiness work. Manage 7+ engineers shipping LLM-backed features with human-in-the-loop controls for security compliance.

Staff Data Scientist at Reddit's Safety Insights team, defining metrics and measurement strategies for user safety. Leads causal analyses, designs ML models for abuse detection, and guides product development across the Safety organization.

Senior Delivery Solutions Architect at Databricks responsible for post-sale technical strategy and execution across the Databricks Data Intelligence Platform. Leads complex customer onboarding, use-case adoption, and technical program delivery for enterprise accounts.

Principal Technical Program Manager at Reddit leading company-wide AI-assisted engineering workflows and developer productivity programs. Drives strategy, alignment, and adoption of AI-native development practices across infrastructure, security, and product teams.

Ads AI Analytics Lead II at Instacart building production agents for advertising analytics. Design data models, RAG workflows, and agentic systems to optimize ROAS, pacing, and partner outcomes across the Ads platform.

Senior Solutions Architect at Databricks supporting AI-native customers. Guides enterprise data engineering and ML teams through platform architecture, proof-of-concepts, and cloud integrations using Spark, Delta Lake, and MLflow.

AI Transformation Owner at GitLab responsible for identifying and implementing AI solutions across a business function. Role combines strategy, hands-on agent building with no-code/low-code tools, and change management to drive organizational adoption of AI workflows.

Delivery Solutions Architect at Databricks guiding enterprise customers through post-sale technical adoption of the Data Intelligence Platform. Hybrid technical and commercial role managing complex use cases, stakeholder relationships, and cross-functional delivery across data and AI workloads.

Delivery Solutions Architect at Databricks guiding enterprise customers through post-sale technical adoption of the Data Intelligence Platform. Hybrid technical and commercial role managing complex use cases, stakeholder relationships, and cross-functional delivery across data and AI workloads.

Software Engineer at Cursor building AI-powered Voice of the Customer infrastructure. Develop systems to synthesize customer feedback at scale, triage bugs with agentic pipelines, and provide real-time product quality visibility to engineering and product teams.

Analyst II at Affirm building fraud analytics and risk decisioning strategies. Develops scalable frameworks for fraud ML models, owns end-to-end analytics workflows, and partners with Product and Engineering on fraud prevention features.

Forward Deployed Engineer at Kong helping enterprise customers implement API and AI gateway solutions. Hands-on role building automation, migration tooling, and production infrastructure for Kong's platform across cloud environments.

Analyst II at Affirm building forecasting models and analytics infrastructure for customer servicing operations. Role centers on time-series forecasting, headcount planning, and AI-assisted analytics across contact channels and geographies.

Director of Safety ML at Reddit leading machine learning systems for content moderation and abuse detection. Oversees a team of applied scientists and engineers building transformer-based models and fine-tuned LLMs for real-time harm prevention at scale.

VP of Product Security at GitLab leading the product security organization across DevSecOps platforms. Responsible for secure product design, architecture, and delivery with focus on AI-powered features and infrastructure security.

Staff Fullstack Software Engineer at Dropbox owning application performance across web, iOS, Android, and desktop. Drives measurable performance improvements, builds measurement systems, and leads AI-assisted engineering workflows across the Core org.

Staff Fullstack Software Engineer at Dropbox owning application performance across web, iOS, Android, and desktop. Drives measurable performance improvements, builds measurement systems, and leads AI-assisted engineering workflows across the Core org.

Resident Solutions Architect at Databricks delivering big data and AI projects for enterprise customers. Designs and implements Databricks-based solutions, including data engineering, architecture consulting, and cloud platform integration across GCP, AWS, and Azure.

Senior Staff ML Systems Engineer at Reddit building high-performance, low-latency serving pipelines and candidate retrieval systems for the Reddit Home Feed. Focus on distributed systems architecture, real-time data pipelines, and personalization infrastructure serving millions of users.

Backend Software Engineer (L2) on Twilio Segment CDP team building scalable APIs for a customer data platform handling 12 trillion API calls annually. Focus on distributed systems, data pipelines, and developer experience.

Senior Staff ML Engineer at Affirm designing and scaling large-scale machine learning systems for financial services. Focus on distributed ML infrastructure, neural networks, and technical leadership across the ML organization.