Developer Relations Leader

Zyphra - Pioneering Artificial Intelligence SolutionsLocated in the heart of San Francisco, California, Zyphra is a cutting-edge artificial intelligence company dedicated to developing innovative solutions that transform industries.About the Role:As the Developer Relations Lead, you will take charge of nurturing and expanding the developer community surrounding Zyphra's open-source models and our AI agent, Maia. You will serve as the primary ambassador of Zyphra to the global developer ecosystem, enhancing our presence on platforms like GitHub, Discord, and X, as well as at key industry events. This role requires a blend of technical expertise and community engagement; you will be the trusted figure that developers look to for guidance and collaboration.With an emerging community already forming around our models, your mission is to identify, accelerate, and organize this community, establishing it as one of the most vibrant open-source AI communities in the industry. You will play a pivotal role on our Go-To-Market (GTM) team, collaborating closely with our research, engineering, and product teams to align our developer initiatives with our overall business strategy.Your Responsibilities Will Include:Leading the development and growth of Zyphra’s developer community across all public channels, including Discord, GitHub, and Hugging Face, while enhancing our brand visibility on X, LinkedIn, and other technical platforms.Representing Zyphra at major AI conferences, developer summits, open-source events, academic forums, and community meetups, where you will speak, demo, and forge relationships that broaden our influence and credibility.Tracking and driving GitHub adoption metrics across our open-source repositories, focusing on stars, forks, issues, pull requests, and active contributor engagement to measure community health.Serving as the primary conduit for feedback between our developer community and the research and product teams, synthesizing insights on developer experiences and obstacles to identify opportunities for enhanced adoption.Creating and implementing a community growth strategy that transforms each model release into sustained developer engagement through launch activities, contributor programs, ambassador networks, and structured onboarding for newcomers.Promoting API consumption and model utilization, ensuring developers understand the unique capabilities of Zyphra’s models and agent, and how to onboard effectively.Generating and curating essential technical content for the community, such as integration guides, benchmark comparisons, use-case demos, and deployment walkthroughs.

Zyphra is a cutting-edge artificial intelligence company located in the vibrant city of San Francisco, California, dedicated to pushing the boundaries of AI technology.The Role:As our Principal Solutions Architect, you will establish yourself as the foremost technical authority during all partner and customer interactions involving Zyphra’s extensive AI model portfolio and innovative AI agents. Your role will involve articulating the technical advantages and unique features of Zyphra’s offerings, guiding partners and customers from the initial assessment phase through a seamless integration process, and representing our research initiatives. This is not a mere support role; you will drive the entire technical go-to-market (GTM) strategy, crafting compelling narratives, nurturing strategic partnerships, and facilitating successful commercial outcomes.Moreover, you will play a pivotal role in providing valuable insights from partners and customers that will inform Zyphra’s research and product development roadmap. Ideal candidates will possess a research mindset, communicate with the clarity of an industry expert, and have the credibility to engage effectively with both technical and executive-level discussions.Your Responsibilities Include:Acting as the primary technical advisor to strategic partners and customers across Zyphra’s full AI model portfolio, which includes language, vision, audio, brain-computer interfaces, and agentic systems from the initial discovery phase through deployment and expansion.Crafting and delivering engaging technical narratives, demonstrations, and evaluation frameworks that highlight the distinctions of each Zyphra model to diverse audiences, including research teams, engineers, executives, and business decision-makers.Leading technical discovery discussions with partners and customers to thoroughly understand their needs, use cases, and integration prerequisites, and converting those insights into actionable plans.Spearheading the development of strategic partnerships and customer conversion, managing the technical relationship throughout the entire commercial lifecycle.Aggregating partner and customer insights into emerging use cases, identifying unmet needs, deployment trends, and competitive signals, and delivering constructive feedback that directly impacts Zyphra’s research and product focus.Creating and maintaining a repository of reusable technical resources, including model evaluation frameworks, fine-tuning guides, deployment architectures, API integration playbooks, and use-case demonstrations to expedite the adoption of Zyphra’s models by partners and customers.Representing Zyphra at industry conferences, technical workshops, academic forums, and partner events to enhance our credibility and thought leadership in the AI sector.

Zyphra is a cutting-edge artificial intelligence firm located in the vibrant city of San Francisco, California.The Role:In the position of GTM Engineer, you will play a pivotal role within Zyphra's Go-To-Market (GTM) team, tasked with the design, deployment, and ongoing enhancement of AI-driven systems that fuel our market strategy. This is not your typical sales, sales operations, or revenue operations position. You will leverage your extensive GTM domain knowledge and hands-on expertise with modern AI technologies to create infrastructure that delivers sustainable commercial advantages.Ideal candidates will have extensive experience in GTM activities, including outbound strategy, customer segmentation, messaging, and business development, along with a proven track record of developing practical applications using AI tools. You possess the insight to identify areas of manual labor and the skills to automate them effectively.Your Responsibilities Will Include:Creating and implementing comprehensive AI-powered GTM workflows that encompass prospecting, outreach, enrichment, qualification, and pipeline management.Developing and maintaining the GTM technology stack, utilizing tools such as Clay, n8n, HubSpot, and custom integrations, while architecting the systems that interconnect them.Crafting and refining customer segmentation models, Ideal Customer Profile (ICP) scoring frameworks, and signal-based targeting systems with the aid of enrichment data and AI.Rapidly prototyping new GTM initiatives, conducting structured experiments with actual pipeline data, and scaling successful strategies.Employing Claude Code, Cursor, and other AI coding tools to develop custom automations, scripts, and lightweight applications designed to enhance GTM efficiency.Collaborating with sales, marketing, and business development teams to transform business requirements into automated processes while measuring the subsequent revenue impact.Exploring new opportunities for AI applications within GTM functions, staying at the forefront of advancements and experimenting with innovations before they become mainstream.Establishing communication processes, messaging frameworks, outreach sequences, and content systems that can be personalized at scale through AI.Qualifications We Seek:A minimum of 3–5 years of direct experience in B2B go-to-market roles, including business development, sales operations, growth, or revenue operations, with hands-on familiarity in customer segmentation, targeting, outbound strategy, and pipeline development.In-depth, practical experience with a variety of AI tools and technologies.Strong analytical skills with the ability to interpret data and make data-driven decisions.

Zyphra is a cutting-edge artificial intelligence company located in the heart of San Francisco, California.About the Position:As our Lead Frontend Engineer - Agentic Interfaces, you will spearhead the design and development of the user-facing elements of our agentic systems. Your expertise will shape the way users engage with AI technology across various platforms, including desktop applications and web browsers. You will collaborate closely with engineers, machine learning researchers, and backend teams to create user experiences that are not only functional but also intuitively accessible.Your Responsibilities Include:Crafting and developing user interfaces for both browser and desktop applicationsCreating and maintaining comprehensive component libraries and styling systemsAnalyzing user interactions and refining user flows based on feedback and usage dataPrototyping and implementing UI features in conjunction with machine learning and backend teamsSimplifying the complexities of AI products to ensure they are accessible and empowering for a diverse user baseQualifications:Proficient in frontend technologies, with a strong command of HTML, CSS, and JavaScript/TypeScriptHands-on experience with modern frameworks, particularly ReactA keen eye for UI detail and usability, maintaining a user-centric approachAbility to rapidly prototype and iterate designs using tools like FigmaExperience in designing responsive, accessible, and high-performance user interfacesStrong understanding of human-computer interaction principles, accessibility, and visual designExcellent communication and collaboration skills to work effectively with engineers, designers, and researchersPreferred Qualifications:Experience in designing or developing browser extensions or desktop applications (e.g., Electron, Tauri)Familiarity with mobile platforms and responsive design is a plusPrior involvement in products featuring complex workflows, automation, or agentic behaviorsInterest or experience in backend development, APIs, or AI systems

About SupabaseSupabase is an innovative development platform centered around Postgres, crafted by developers for developers. We offer an all-encompassing backend solution that includes Database, Authentication, Storage, Edge Functions, Realtime capabilities, and Vector Search. Our services are seamlessly integrated and designed to foster growth.About the RoleWe are seeking an enthusiastic Developer Relations Engineer to join our dynamic team in San Francisco. This individual will play a crucial role in helping developers discover, learn, and build with Supabase. You will create impactful content, develop real-world projects, and represent Supabase in various communities and events. If you have a passion for coding and teaching others, this is the perfect opportunity for you.Why This Role MattersSupabase is rapidly expanding, with over 350,000 developers and more than 1,000 open-source contributors actively participating in our thriving ecosystem. Our user base includes builders, startup founders, weekend enthusiasts, and engineers scaling their applications to millions of users. Developer Relations is our way of connecting with them through engaging content, community involvement, and collaborative coding.We are building a community of communities that welcomes developers from diverse backgrounds, including those new to open source contributions. As a Developer Relations Engineer, you will serve as a vital link between Supabase and the broader developer ecosystem, guiding individuals from their initial engagement to deeper involvement and connection.What You'll DoCreate Engaging Content - Produce captivating technical content, particularly video tutorials, to facilitate quick learning of Supabase.Build Demonstrations and Tutorials - Develop real-world applications using Supabase alongside tools like Next.js, React, and Stripe, and write guides that are accessible for others to follow and adapt.Represent Supabase - Engage with the developer community by speaking at meetups, live streaming builds, and being a reliable voice for the platform.Support and Foster Community Growth - Acknowledge contributors, address inquiries, showcase impressive projects, and relay developer feedback to our team.Collaborate Across Departments - Work in tandem with engineering, product, and growth teams to enhance launch strategies, prioritize content, and streamline the user experience.You Might Be a Fit If:You have experience building full-stack applications and a desire to share your expertise.You thrive on connecting with developers and are eager to help them succeed.

Location: San Francisco Transforming Security for Developers.At Aikido, we believe that security should enhance the development process, not hinder it. Traditional security tools have become outdated, creating interruptions and bottlenecks for teams. Our mission is to revolutionize this space by offering developer-centric security products that mitigate real risks while allowing developers to focus on shipping high-quality software. We are committed to what truly matters and automate the rest.Founded in 2022 by experienced entrepreneurs, Aikido has secured $85 million in funding and is well on its way to becoming a unicorn. Our vision is to create self-securing software. Join our exceptional team, take ownership of your work, and help us push the boundaries of what’s possible in developer security.We are on the lookout for a passionate Developer Relations Manager (DevRel) who is deeply engaged in the developer community and well-connected within the ecosystem.

Join Zyphra as a Research Engineer specializing in AI Performance and Kernel Optimization. In this role, you will work at the forefront of AI technologies, developing and optimizing kernel solutions that enhance the performance of our systems. You will collaborate with cross-functional teams, leveraging your expertise to drive innovation and efficiency.

CoreWeave is The Essential Cloud for AI™. Designed by pioneers for pioneers, we provide a robust platform of technology, tools, and teams that empower innovators to develop and scale AI solutions with confidence. Trusted by leading AI laboratories, startups, and global enterprises, CoreWeave merges exceptional infrastructure performance with profound technical expertise to hasten breakthroughs and convert computational power into tangible capabilities. Established in 2017, CoreWeave became a publicly traded entity (Nasdaq: CRWV) in March 2025. Explore more at www.coreweave.com.About Marimo: At Marimo, our mission is to create the world's premier open-source programming environment for data, along with a world-class, scalable, and high-performance cloud-hosted version. Marimo is a revolutionary take on the Python notebook—it feels like a next-gen reactive notebook, yet it is stored as pure Python, allowing version control with Git, deployment as a data application, execution as a script, and reuse as a module. Initially incubated with scientists at Stanford, Marimo is now utilized by top companies, research labs, and universities globally, with millions of downloads and over 17,000 stars on our GitHub repository.At Marimo, we believe that the tools we use influence our thoughts—better tools foster better minds. If you are enthusiastic about developer tools, excel in ambiguous situations, enjoy tackling challenging engineering issues at scale, and are eager to engage in groundbreaking projects, you will thrive with us.

Zyphra is a pioneering artificial intelligence firm located in the vibrant city of San Francisco, California.About the Role:We are seeking a passionate Research Scientist to join our dynamic Agency and Reasoning Team at Zyphra. In this role, you will conduct cutting-edge research in reinforcement learning, post-training methodologies, and human preference learning. Your innovative ideas will be instrumental in shaping our next-generation language models, enabling their application on a large scale.What We Desire:A strong sense of research intuition and tasteCapability to navigate a research project from initial concept to execution and documentationProficiency in implementation and prototypingA quick thinker who can rapidly transform ideas into experimental frameworksAbility to collaborate effectively in a fast-paced research environmentAn insatiable curiosity and enthusiasm for the study of intelligence.Qualifications:Proven experience and skill in reinforcement learning, particularly in the context of language model reasoning or classical RL tasksFamiliarity with language-model-supervised fine-tuning and preference-learning techniques, such as DPO and simPO.Experience with methods for context-length extensionStrong intuitive understanding of model behaviors, with the ability to refine them through iterative fine-tuningInterest in engaging deeply with data and dedicating time to data engineering and synthetic data generationA postgraduate degree in a scientific discipline (Computer Science, Electrical Engineering, Mathematics, Physics)Published research in reputable machine learning venuesExpertise in PyTorch and PythonEagerness and aptitude for rapidly acquiring new knowledge and implementing innovative conceptsExceptional communication and teamwork abilities, capable of contributing to both research and large-scale engineering effortsWhy Join Zyphra?We champion creative and unconventional ideas and are prepared to invest significantly in innovative concepts.Our culture fosters collaboration, curiosity, and intellectual growth.

Zyphra is a cutting-edge artificial intelligence firm headquartered in the vibrant city of San Francisco, California.Position Overview:As a Research Scientist specializing in Model Architectures, you will play a pivotal role in Zyphra’s AI Architecture Research Team. Your responsibilities will include the design and thorough evaluation of innovative model architectures and training methodologies aimed at enhancing essential modeling capabilities (e.g., loss per flop or loss per parameter) and tackling core limitations inherent in current models. You will collaborate closely with our pre-training team to ensure that your findings are seamlessly integrated into our next-generation models.Qualifications:A strong research acumen and intuition.Proven ability to navigate research projects from initial conception to execution and final write-up.Exceptional implementation and prototyping skills, with the capability to swiftly transform ideas into experimental outcomes.A collaborative spirit and the ability to thrive in a fast-paced research environment.A deep curiosity and enthusiasm for understanding intelligence.Requirements:Experience with long-term memory, RAG/retrieval systems, dynamic/adaptive computation, and alternative credit assignment strategies.Knowledge of reinforcement learning, control theory, and signal processing techniques.A passion for exploring and critically evaluating unconventional ideas, with the ability to maintain a unique perspective.Familiarity with modern training pipelines and the hardware necessities for designing efficient architectures compatible with GPU hardware.Strong understanding of experimental methodologies for conducting rigorous ablations and hypothesis testing.High proficiency in PyTorch and Python programming.Ability to quickly assimilate into large pre-existing codebases and contribute effectively.Prior publication of machine learning research in reputable venues.Postgraduate degree in a scientific discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Physics).Why Join Zyphra?We emphasize a structured research methodology that systematically addresses ambitious challenges in AI.

Zyphra is a pioneering artificial intelligence company located in the heart of San Francisco, California, dedicated to pushing the boundaries of technology.The Role:As a Fullstack Engineer, you will play an essential role in advancing Zyphra’s Agentic Systems and Interaction initiatives. You will be at the cutting edge of developing a state-of-the-art desktop and browser-based agent capable of autonomously navigating the web, interacting with file systems, and accomplishing intricate user tasks. Your work will encompass frontend interfaces, secure sandbox environments, large-scale document search and retrieval, and integration of language and vision models. We welcome all candidates to apply, even if they don't meet every requirement.You’ll work across:Designing and implementing diverse agentic system architectures that facilitate interaction with browsers, operating systems, enterprise file systems, and collaboration tools.Creating search and retrieval pipelines for large-scale structured and unstructured data.Developing backend layers for Retrieval-Augmented Generation (RAG) systems and other information context management systems essential for agent operations.Integrating large language models (LLMs), vision models, reinforcement learning, and scaffolding frameworks to enable autonomous, multi-step decision-making.Engineering secure virtualized runtimes and backend services for the execution of agents.Most importantly, your passion for building production-grade software is what we value.We appreciate velocity and curiosity, especially in dynamic and ambiguous settings.Requirements:Strong proficiency in Python with extensive experience in building and debugging complex end-to-end applications.Background in SaaS environments, production workloads, web interfaces, databases, search engines, and queuing systems.Experience in developing browser extensions or automation tools with detailed control over browser interactions (mouse, tabs, DOM).Familiarity with LLMs, prompting techniques, and orchestration frameworks for multi-step reasoning.Capability to work across the entire stack, from web interfaces to control planes and data infrastructure, including queuing systems, databases, and search indexes.Experience in designing or working with secure and virtualized execution environments.A proactive mindset and a strong desire to innovate are essential.

About FeatherlessFeatherless.ai is revolutionizing the landscape of AI with our cutting-edge open-model inference platform, designed to empower a new generation of AI innovators, startups, and enterprises.Supported by esteemed partners such as Airbus Ventures, 500 Global, Kickstart Ventures, HF0 Residency, Panache Ventures, and Oakseed Ventures, our talented team of researchers and engineers is dedicated to making AI accessible and reliable for everyone.We pride ourselves on providing unparalleled GPU utilization in AI infrastructure, seamlessly supporting a wide array of open models to simplify advanced AI usage. Our cloud platform offers instant access to over 12,000 open-source models and showcases our latest innovations in efficient, scalable model optimization.About the RoleWe are seeking a passionate Developer Relations Lead to advocate for the builders and startups shaping the future of open AI.In this role, you will foster and expand the Featherless ecosystem—supporting model creators and early-stage founders in deploying, scaling, and monetizing their innovative ideas on our platform. You will act as both an advocate and architect: developing demos, designing integrations, organizing events, and amplifying the voices within our developer community.This position requires a blend of technical expertise, storytelling ability, and real-world community engagement. You will represent Featherless in San Francisco and online, connecting with AI builders, creators, and founders who share our vision for open, accessible intelligence.What You’ll DoEmpower developers: Assist model creators and AI startups in deploying and scaling their projects on Featherless.Grow the ecosystem: Expand our West Coast network of builders, researchers, and early-stage founders.Build and share: Create examples, demos, and case studies that showcase real model deployments.Host and speak: Represent Featherless at hackathons, community events, and developer showcases.Create technical content: Produce posts, tutorials, and updates that highlight the capabilities of open models.Collect feedback: Act as the bridge between developers and our internal teams to enhance our offerings.

As the Communications Lead at Anthropic, you will play a pivotal role in shaping and sharing our narrative with external stakeholders. You will oversee our communication strategies, ensuring that our messaging aligns with our mission and values. The ideal candidate will possess a strong background in communications, with a proven ability to engage diverse audiences through impactful storytelling and strategic outreach. Join us in our mission to build safe AI systems and contribute to positive societal outcomes.

Zyphra is a pioneering artificial intelligence company located in Palo Alto, California, committed to revolutionizing the way humans interact with technology.About the Position:As a Machine Learning Engineer at Zyphra, you will play a vital role in advancing our Agentic Systems and Interaction initiatives. You will lead the development of a cutting-edge desktop and browser-based agent designed to autonomously navigate the web, manage filesystem interactions, and execute intricate user tasks. Your responsibilities will encompass frontend interface development, secure sandbox environments, large-scale document search and retrieval, and the integration of language and vision models.Your Contributions Will Include:Crafting and implementing an advanced agentic system capable of seamless interactions with browsers, operating systems, and enterprise filesystems.Developing robust search and retrieval pipelines for expansive structured and unstructured datasets.Integrating large language models (LLMs), vision models, reinforcement learning, and scaffolding frameworks to facilitate autonomous, multi-step decision-making.Engineering secure virtualized runtimes and backend services for agent execution.Demonstrating a strong commitment to building production-grade ML systems that redefine the capabilities of software agents.Embracing velocity and curiosity, particularly in dynamic and ambiguous settings.Qualifications:Expertise in Python and proficiency in building and debugging complex machine learning applications.Hands-on experience with desktop operating systems (Windows and macOS), including APIs for screen reading, file manipulation, and accessibility frameworks.Proven track record in developing browser extensions or automation tools with precise control over browser functionalities (mouse interactions, tabs, DOM manipulation).Solid understanding of large language models (LLMs), prompting strategies, and orchestration frameworks for multi-step reasoning.Capability to navigate the entire ML stack, from model integration to serving infrastructure.Experience in designing or working with secure and virtualized execution environments.Exceptional communication and collaboration skills across product, research, and engineering teams.Preferred Qualifications:Experience in building or integrating retrieval systems.

Zyphra is a cutting-edge artificial intelligence firm located in the heart of San Francisco, California.The Opportunity:As a Product Infrastructure Engineer specializing in Site Reliability, your primary focus will be on architecting and sustaining the frameworks that ensure Zyphra's infrastructure remains strong, observable, secure, and scalable. Your contributions will be pivotal in guaranteeing the dependability and reproducibility of machine learning workloads, managing deployment safety, and ensuring the long-term viability of our computational environments.Your Responsibilities:Enhancing and developing observability systems (monitoring, logging, alerting)Creating resilient build and deployment systems across both research and production settingsEstablishing secure release protocols with comprehensive audit trails and rollback capabilitiesCollaborating closely with ML engineers, DevOps, and infrastructure teams to optimize system reliability and performanceLeading incident response efforts, conducting root-cause analysis, and facilitating postmortems with a strong emphasis on learning and preventionThis position is perfect for individuals who are passionate about creating systems that empower other teams to be faster, safer, and more efficient.Qualifications:Proven experience in high-performance computing environments, such as machine learning clusters or GPU farmsStrong background in infrastructure as code tools (e.g., Ansible, Terraform)Familiarity with software release engineering tailored for ML/AI systems is advantageousExperience in designing reliable environments for experimental workloads and reproducible executionsUnderstanding of compliance and auditing standards related to deployment and system securityExperience with load testing, fault injection, and chaos engineering to strengthen systems under pressureA passion for developing tools that render infrastructure seamless and reliable for end usersPreferred Qualifications:Experience with infrastructure as code (e.g., Ansible, Terraform)Previous experience supporting ML/AI infrastructure, including GPU management and workload optimizationExposure to backend development for ML model serving (e.g., vLLM, Ray, SGLang)

Join our innovative team at Zyphra as a Research Engineer specializing in Brain-Computer Interface (BCI) Models. In this pivotal role, you will contribute to groundbreaking research and development initiatives in the field of neuroscience and artificial intelligence. Your expertise will help shape the future of communication between humans and machines, enhancing the quality of life for countless individuals.As a Research Engineer, you will be responsible for designing, implementing, and testing advanced BCI models, collaborating closely with a diverse team of scientists and engineers. Your work will play a crucial role in advancing our understanding of neural dynamics and their applications in technology.

Join Sapiom as a Lead Developer Relations professional, where you will enhance our engagement in developer communities, ensuring an outstanding experience for both human developers and AI coding agents utilizing our platform.Your Role and ResponsibilitiesCommunity Building & Awareness: Forge meaningful relationships within AI/ML and developer communities. Generate engaging content (tutorials, blog posts, videos, presentations) empowering developers to understand agentic commerce and effectively utilize Sapiom. Represent our brand at conferences, meetups, and online platforms.Developer Advocacy: Serve as the primary advocate for developers within the organization. Collaborate closely with product and engineering teams to identify pain points, enhance documentation, refine APIs, and ensure our SDK offers a delightful user experience. You'll be at the forefront of understanding developers' needs and vocalizing solutions.Demonstrations & Sandboxes: Create captivating demo agents and sandbox environments to illustrate the potential of Sapiom. These resources will not only serve marketing purposes but also assist developers in understanding patterns, testing integrations, and speeding up their development processes.Onboarding & Enablement: Guide developers from their initial engagement to production deployment. Develop onboarding processes, offer office hours, and provide resources that streamline their journey to value. Support partner developers in achieving success and transforming their achievements into case studies.Success Metrics (6 Months)Community Hub Establishment: Successfully established Sapiom in essential communities (AI agent builders, LLM application developers). Developers creating agentic applications recognize our brand and comprehend our offerings.Developer Advocacy: Our documentation, SDKs, and sandbox environments are recognized as top-tier. The duration from signup to the first successful transaction has significantly decreased. Developer NPS is robust. A community of developers actively promotes Sapiom, sharing their experiences and creations publicly.Agent-Ready Documentation: Conducted an audit and optimization of our documentation and SDKs for AI functionalities (e.g., clear LLM-readable schemas, comprehensive .mdx guides), leading to a measurable reduction in agent errors.Demo Library: Developed 3-5 demo agents that effectively highlight Sapiom's capabilities across diverse use cases. These demos are not merely promotional tools but essential resources for developer education.

About Flux Flux is building the world's first AI Hardware Engineer, aiming to make advanced hardware design accessible to more people. The company’s mission is to open up electronics creation and manufacturing for engineers everywhere. Role Overview: Developer Relations Lead This San Francisco-based role focuses on building and supporting Flux’s technical user community. Reporting directly to the COO, the Developer Relations Lead will drive engagement, education, and technical storytelling to help engineers succeed with Flux’s platform. Key Responsibilities Grow and support the Flux community: set community standards, moderate discussions, encourage participation, and build relationships with core users and VIP customers. Turn common questions into useful resources: improve documentation, develop tutorials, FAQs, reference guides, and practical examples. Manage the product education roadmap, including documentation, tutorials, and design examples. Lead a major documentation update (including Mintlify) and set up a process to keep materials accurate as products change. Create technical stories: write case studies, map customer workflows, and highlight how teams use Flux in practice. Build a structured feedback loop from users and the community into Product and Go-To-Market teams to address recurring issues. Support hardware advocates and creators by providing clear briefs and quality standards. This is a leadership role without direct reports at the outset. What We’re Looking For Proven experience in Developer Relations, technical community management, solutions engineering, or a similar field focused on technical users. Strong technical background, ideally with hands-on experience in PCB workflows. Excellent writing and content organization skills, especially for documentation and tutorials. Comfort in public-facing roles: leading community initiatives, interacting with customers, and representing Flux externally. Ability to build efficient systems from scratch, including tagging, measurement, content workflows, and feedback processes. High ownership, proactive approach, and good judgment in situations with ambiguity. Preferred Qualifications Background in technical content creation and community engagement. Familiarity with hardware design processes and tools. Strong analytical skills for interpreting community feedback and improving user experience. Location This role is based at Flux’s San Francisco office.

Zyphra is an innovative leader in artificial intelligence, located in the heart of San Francisco, California.Role Overview:As a Research Engineer specializing in Language Model Pre-Training, you will play a pivotal role in defining our language model strategy through comprehensive pretraining development. Your close collaboration with our pretraining team will ensure that your insights contribute to the advancement of our next-generation models.Key Responsibilities:Conduct large-scale training runs and implement model parallelization techniques.Optimize the performance of our pretraining stack.Oversee dataset collection, processing, and evaluation.Research architecture and methodologies, including optimizer ablations.Qualifications:Demonstrated engineering prowess in developing reliable and robust systems.A quick learner with a passion for implementing innovative ideas.Exceptional communication and collaboration skills, capable of working effectively on both research and engineering implementations at scale.Preferred Skills:Profound expertise in addressing machine learning challenges and training models.Experience training on large-scale (multi-node) GPU clusters.In-depth understanding of model training pipelines, including model/data parallelism and distributed optimizers.Strong methodology for conducting rigorous ablations and hypothesis testing.Familiarity with large-scale, high-performance data processing pipelines.High proficiency in PyTorch and Python programming.Ability to navigate and understand extensive pre-existing codebases swiftly.Published research in machine learning in reputable venues is an advantage.Postgraduate degree in a relevant scientific field (Computer Science, Electrical Engineering, Mathematics, Physics).Why Join Zyphra?We value a research methodology that emphasizes thoughtful, methodical progress towards ambitious objectives. Both deep research and engineering excellence are given equal importance.Join us in an environment that fosters innovation, collaboration, and professional growth.