Jobs at adaption

Manage and grow a technical developer community across Discord, forums, and other channels. Coordinate meetups, hackathons, office hours, livestreams, and ambassador initiatives. Build relationships with developers and researchers, identify community contributions, gather product feedback, and collaborate with technical and marketing teams. The role also involves improving community operations and helping audiences discover and build with the company’s AI products.

Own Adaption’s growth engine across experimentation, funnel analytics, paid acquisition, SEO, AEO, lifecycle marketing, launches, social channels, sponsorships, and community-driven growth loops. Lead research and product launch adoption, optimize acquisition and activation, build scalable marketing systems, and translate performance data into weekly decisions. The role requires hands-on ownership, strong writing, creative experimentation, and the ability to operate quickly in an AI startup.

Own product and research launch marketing from technical positioning through distribution. Translate AI research, training runs, and benchmarks into blogs, explainers, social content, landing pages, documentation, sales collateral, and campaigns. Engage technical communities, coordinate cross-platform launches, and use analytics to optimize reach, engagement, traffic, and adoption. The role requires strong technical writing, product marketing judgment, rapid execution, and experience communicating AI, ML, or developer tools to developers and enterprise audiences.

Serve as the public voice of Adaption by creating technical content across social platforms, video, podcasts, livestreams, and conferences. Translate machine learning concepts, product experiments, benchmarks, and user stories into compelling narratives for technical audiences. Define the company voice, build relationships with creators and researchers, represent the company publicly, and relay ecosystem insights to product, research, and marketing teams.

Supports the founding team by removing operational friction, coordinating strategy and logistics, managing travel, and executing high-priority special projects. Builds processes and communication systems for a distributed team, rapidly switches between strategic and tactical work, and handles ambiguous initiatives from conception through completion. The role requires exceptional organization, adaptability, attention to detail, and willingness to manage urgent requests, irregular hours, and last-minute travel.

Own and optimize the inference stack for cost, throughput, latency, and reliability. Responsibilities include KV-cache management, batching, quantization, speculative decoding, long-context optimization, provider routing, serving-engine optimization, GPU and kernel tuning, and profiling systems. The role requires production expertise with modern inference engines, model serving, GPU performance, and systems programming.

Build and own a multi-tenant platform connecting enterprise customers and sovereign deployments to inference infrastructure. Responsibilities include authentication, tenant isolation, quotas, rate limiting, usage metering, entitlements, public inference APIs, SSO, access controls, audit logs, data residency, and security testing. The role requires strong Python and backend or platform engineering expertise, API design experience, and familiarity with billing, credits, reconciliation, regulated environments, and enterprise identity systems.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.