914 roles across 160 companies — filter by region or category.
Showing 50 of 788 matching positions (51–100)
Clear filtersDesign and run the multi-region cloud footprint behind Amplitude's analytics platform, with cost and resilience both in view.
Sit with customers, build the integrations they need on Ashby's product suite, and feed the rough edges back to product.
Turn model capabilities into dependable product surfaces across Ashby's product suite, balancing latency, cost and quality.
Own infrastructure-as-code, networking and capacity planning for Atlassian's product suite.
Investigate intrusions and turn each one into durable detection coverage for Atlassian's product suite.
Run the large multi-team efforts behind Atlassian's product suite from kickoff through launch.
Build the pipelines, feature stores and monitoring that keep models behind Atlassian's product suite reproducible and observable.
Ship LLM-powered features into Automattic's open-source projects, from prompt and retrieval design through evaluation and rollout.
Partner with engineering teams on threat models and secure defaults throughout Automattic's open-source projects.
Own the modelling loop behind Automattic's open-source projects — features, training pipelines, offline evaluation and online experiments.
Design and run the multi-region cloud footprint behind Automattic's open-source projects, with cost and resilience both in view.
Build agentic workflows and tool-calling systems on top of BrowserStack's developer platform, and own their accuracy in production.
Build detections and response automation covering the infrastructure behind BrowserStack's developer platform.
Own the lakehouse and streaming infrastructure underneath BrowserStack's developer platform, with an eye on cost and freshness.
Own the modelling loop behind Buffer's product suite — features, training pipelines, offline evaluation and online experiments.
Own model deployment tooling so research work reaches Buffer's product suite without bespoke glue each time.
Own the design system and the polish layer across Cal.com's open-source projects.
Train, evaluate and serve models that power Cal.com's open-source projects at production scale.
Deliver working implementations of Canonical's open-source projects inside customer environments.
Design and run the multi-region cloud footprint behind Canonical's open-source projects, with cost and resilience both in view.
Partner with engineering teams on threat models and secure defaults throughout Canonical's open-source projects.
Build the ingestion, storage and query layers that every team uses to reason about Canonical's open-source projects.
Own the design system and the polish layer across Chainguard's security platform.
Ship LLM-powered features into Chainguard's security platform, from prompt and retrieval design through evaluation and rollout.
Review designs, harden services and fix classes of vulnerability across Chainguard's security platform.
Turn model capabilities into dependable product surfaces across CircleCI's developer platform, balancing latency, cost and quality.
Own Kubernetes, deployment tooling and paved-road abstractions underneath CircleCI's developer platform.
Investigate training, alignment and evaluation methods that make the models behind CircleCI's developer platform more useful.
Deliver working implementations of Clerk's developer platform inside customer environments.
Design and run large-scale training experiments, then turn the findings into production model releases.
Own the design system and the polish layer across ClickHouse's data platform.
Deliver working implementations of ClickHouse's data platform inside customer environments.
Optimise inference throughput and cost for the models running behind ClickHouse's data platform.
Prototype and ship interface work for Close's product suite, living between design and front-end code.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Close's product suite.
Own Kubernetes, deployment tooling and paved-road abstractions underneath Close's product suite.
Own the modelling loop behind Cohere's AI products — features, training pipelines, offline evaluation and online experiments.
Design and run large-scale training experiments, then turn the findings into production model releases.
Design and run the multi-region cloud footprint behind Cohere's AI products, with cost and resilience both in view.
Drive cross-team programmes across Cohere's AI products, keeping dependencies, risk and timelines visible.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Coinbase's financial platform.
Own infrastructure-as-code, networking and capacity planning for Coinbase's financial platform.
Own the lakehouse and streaming infrastructure underneath Coinbase's financial platform, with an eye on cost and freshness.
Define evaluation criteria, pricing and rollout strategy for AI features across Coinbase's financial platform.
Build the pipelines, feature stores and monitoring that keep models behind Confluent's data platform reproducible and observable.
Review designs, harden services and fix classes of vulnerability across Confluent's data platform.
Design and run large-scale training experiments, then turn the findings into production model releases.
Design and run the multi-region cloud footprint behind Confluent's data platform, with cost and resilience both in view.
Own infrastructure-as-code, networking and capacity planning for CrowdStrike's security platform.
Ship LLM-powered features into CrowdStrike's security platform, from prompt and retrieval design through evaluation and rollout.
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