1638 roles across 160 companies — filter by region or category.
Showing 50 of 992 matching positions (1–50)
Clear filtersSqueeze latency and cost out of the serving stack behind a consumer answer engine handling very high query volume.
Build multi-step agents that browse, reason over sources and complete tasks on behalf of users.
Own the indexing and retrieval pipelines that keep the answer engine fresh across the open web.
Ship experiments across onboarding, sharing and subscription flows to move activation and retention.
Sell Perplexity Enterprise to mid-market teams, running discovery through to close.
Own paid, lifecycle and partnership channels driving qualified pipeline for the enterprise product.
Build the query and storage layer of the lakehouse platform, working across Spark, Delta Lake and cloud object storage.
Join a platform team building distributed data systems, with structured mentoring through your first year.
Build model training, serving and governance features that let enterprises run their own AI workloads on their own data.
Design lakehouse architectures with enterprise customers and prove them out in technical evaluations.
Own governance, lineage and access control across data and AI assets for large regulated customers.
Document pipelines, SQL warehousing and workflow orchestration for practitioners across cloud providers.
Train, evaluate and release open models, and maintain the libraries the community builds on.
Scale the model and dataset hub that serves petabytes of artefacts to millions of developers.
Write tutorials, notebooks and talks that help practitioners ship open models in production.
Help enterprise teams debug fine-tuning, inference endpoints and deployment issues.
Improve the text-to-speech and voice conversion models behind dubbing, narration and conversational agents.
Build the streaming and batch audio APIs that power real-time voice products at scale.
Detect and prevent voice cloning misuse, running the review workflows behind the safety programme.
Build the AI agent that scaffolds, edits and deploys full applications from a natural-language brief.
Run the container and sandbox fleet that gives every user an instant, isolated development environment.
Design an IDE that stays approachable for first-time programmers without frustrating professionals.
Build code completion and chat experiences shipped to millions of developers across editors and the web.
Keep a CI/CD fleet running billions of workflow minutes reliable, fast and cost-efficient.
Own code scanning, secret scanning and dependency review across the developer platform.
Resolve complex platform, migration and performance issues for large enterprise installations.
Own reference and task documentation for APIs, Actions and enterprise administration.
Build the payroll calculation engine that has to be exactly right across dozens of tax jurisdictions.
Run monthly payroll cycles across European entities and resolve discrepancies with local providers.
Advise on cross-border employment law and keep contract templates current as regulations change.
Own a portfolio of companies employing people internationally, from onboarding through renewal.
Build the scheduler and runner infrastructure that executes millions of CI jobs a day.
Keep a high-throughput build platform available and predictable across multiple cloud regions.
Debug pipeline configuration, caching and performance problems alongside customer engineering teams.
Work on the Python and MongoDB services behind calling, email sync and reporting for sales teams.
Design workflows that let a small sales team move through a day of calls and follow-ups without friction.
Sell a CRM to small sales teams, running the same motion the product itself is built for.
Work on the highest-traffic checkout path in commerce, where every millisecond shows up in conversion.
Model merchant lifecycles and turn the findings into product and pricing decisions.
Build the access, gateway and browser isolation controls enterprises use to retire their VPNs.
Make builds and deployments faster for millions of frontend projects across the platform.
Diagnose query performance, replication and connection issues for teams running Postgres in production.
Design data models and cluster topologies with enterprise customers moving workloads to Atlas.
Build ingestion and query systems handling trillions of log events with predictable cost.
Operate the managed cloud platform running Terraform, Vault and Consul for enterprise customers.
Review designs, triage reports and harden a DevSecOps platform that is itself a high-value target.
Build the pipelines behind product analytics for services used by a very large share of the web.
Maintain and optimise the Ubuntu kernel across cloud, desktop and embedded hardware.
Work on the log aggregation system in Go, focused on query performance at multi-tenant scale.
Build semantic and hybrid search features on top of the Elastic Stack for enterprise customers.
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