adaption

Marketing

• Support the planning and execution of marketing campaigns across email, social, and web
• Help manage the content calendar and coordinate asset creation with internal and external collaborators
• Monitor and report on campaign performance, surfacing insights to the team
• Assist with event coordination, webinars, and conferences, socials, and activations
• Maintain marketing tools, CRM data hygiene, and campaign tracking
• Draft copy for social posts, newsletters, and other marketing materials
• Work cross-functionally with sales, product, and design to align messaging and timing

Marketing Coordinator – 6 Month Contract

Brand Designer

• Help shape how the world sees, understands, and connects with our technology
• Contribute to the visual language, product storytelling, and brand systems that define a new category.
• Collaborate with talented designers and engineers to do meaningful design work early in the company’s history

Junior Brand Designer, 3 Month Contract

Full-stack Engineer

• Product Ownership: build and ship full-stack features end-to-end, from backend systems and data models to polished user experiences.
• Iteration & Systems Thinking: own the full development lifecycle while designing pragmatic, scalable systems that balance speed with long-term maintainability.
• Founder Collaboration: work directly with the founders to make technical and product decisions that shape the company and its core product.

Full-Stack Product Engineer

Product Marketing

• Define our ICP (Ideal Customer Profile), design our outreach sequences, and build the initial sales assets (decks, demos, white papers).
• From cold outbound and technical discovery to procurement and closing.
• Distill complex prospect objections into actionable product requirements. You are the bridge between "what the market wants" and "what we build."
• Stand up the GTM stack (CRM, data enrichment, sequencing tools) with an eye toward automation and clean data from Day 1.

Founding GTM Lead, North America

Machine Learning Engineer

• Deliver Real-World Impact: Lead the development and deployment of efficient, adaptive ML systems in real production environments.
• Customer Collaboration: Act as a trusted technical advisor to strategic partners—turning complex needs into actionable solutions.
• Hands-on Impact: The ideal candidate will own implementation of data products at Adaption. This position requires creativity and technical execution in addressing novel challenges related to data, interaction, and evaluation.

Machine Learning Engineer – Applied ML

Research Scientist

• Innovation: innovate on our product to co-design algorithms that react real-time to product signal and feedback. Design new ways of giving feedback that drive better algorithms.
• Cross-Stack Optimization: Collaborate across software, hardware, and algorithmic domains to achieve system-wide efficiency gains
• Measure what matters: We believe strongly that the ultimate signal of value is whether we have real world impact. Our current algorithms are capable of interacting with the world which is why product matters so much.

Growth Marketing

• Build the Revenue Engine: Design repeatable systems that drive developer adoption and reliably convert usage into enterprise revenue. We value compounding systems over one-off campaigns.
• Own the Full Cycle: Do the unscalable work first. You will find, engage, and close early customers yourself to validate the motion before we automate or scale it.
• Run Fast Experiments: Launch and measure multiple tests each week across acquisition, activation, and monetization. Scale what works, cut what doesn’t—and do it at high velocity.
• Lead Technical GTM: Create high-signal resources for the modern AI stack and build the data infrastructure that tracks the user journey from first touch to enterprise expansion.

Head of Growth

Research Engineer

• Innovation: innovate on our product to co-design algorithms that react real-time to product signal and feedback. Design new ways of giving feedback that drive better algorithms.
• Cross-Stack Optimization: collaborate across software, hardware, and algorithmic domains to achieve system-wide efficiency gains
• Measure what matters: we believe strongly that the ultimate signal of value is whether we have real world impact. Our current algorithms are capable of interacting with the world which is why product matters so much.

Interface Research Engineer

Artificial Intelligence

• You’ll work directly with our founders to design and build the inference and optimization systems that power our core product.
• This role bridges research and production, combining deep exploration of inference techniques with hands-on ownership of scalable, high-performance serving infrastructure.
• You’ll own the full lifecycle of LLM inference—from experimentation and performance analysis to deployment and iteration in production—thriving in a zero-to-one environment and helping define the technical foundations of our inference stack.
• design and build our LLM inference stack from zero to one, exploring and implementing advanced techniques for low-latency, high-throughput serving of language and multimodal models.
• develop and optimize inference using modern frameworks (e.g., vLLM, SGLang, TensorRT-LLM), experimenting with batching strategies, KV-cache management, parallelism, and GPU utilization to push performance and cost efficiency.
• collaborate closely with founders and model developers to analyze bottlenecks across the stack, co-optimizing model execution, infrastructure, and deployment pipelines.

AI Systems Engineer – Inference Frameworks

Operations

• Establish our overall strategy for supporting developers, researchers and enterprises who want to have more control over their AI.
• Build and maintain Adaption's developer community spaces (Discord server, forums) from the ground up, answer questions, capture feedback, and turn it into actionable issues for the team
• Organize and lead meetups, hackathons, office hours, and live streams that introduce Adaption to new developer audiences
• Collaborate with developer groups, universities, accelerators, and open-source communities to co-host and amplify high-quality events
• Spotlight user projects and design partners (case studies, writeups, guest talks).
• Build automations and systems that make community operations scale - when you do something twice, you figure out how to do it better the third time
• Work closely with technical and marketing teams on cross-functional projects and feedback loops
• Stay connected with community members over time, keeping a mental map of who's doing interesting work, who should meet who, and what people are building