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Role OverviewIn your role as a Senior Software Engineer at Wispr, you will be pivotal in developing a groundbreaking, habit-forming voice interface capable of scaling to a billion users. Your responsibilities will include prototyping and designing innovative features for our voice interface, creating infrastructure to achieve sub-500ms LLM inference for millions of global requests, and enhancing the personalization of our speech models and LLMs. Desired QualificationsExperience in startup or founding environments. Proficiency in TypeScript, React, and Python. Strong user-centered design intuition and aesthetic sense. Meticulous attention to detail and a strong desire to learn. Clarity of thought and strong problem-solving skills. Creativity with a commitment to engineering excellence and rapid code development.
About the job
About Wispr Flow
Wispr Flow is revolutionizing the way we interact with technology, making it as seamless as conversing with a close friend.
As the leading voice dictation platform, Wispr Flow is now preferred by users over traditional keyboards, thanks to its exceptional understanding and contextual awareness. Whether on desktop or phone, our platform delivers personalized experiences that adapt to your unique needs.
Looking ahead to 2026, we aim to expand beyond dictation to develop native actions — a framework that not only understands you but operates reliably across various tasks.
Our diverse team of AI researchers, designers, growth specialists, and engineers is committed to reimagining human-computer interaction from the ground up. We prioritize high-agency collaborators who communicate transparently, deeply engage with our users, and focus on the finer details. We foster an environment of spirited discussions, truth-seeking, and meaningful impact.
With a remarkable revenue growth of 150% each quarter over the past year and $81 million raised from top-tier venture capital firms and well-known angel investors, Wispr Flow is poised for continued success.
About Wispr Flow
Wispr Flow is at the forefront of transforming technology interactions, making them user-friendly and intuitive. With a focus on voice dictation and future capabilities, we are committed to innovation and user engagement.
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Search for Infrastructure Software Engineer At Flow Engineering San Francisco
About Wispr FlowWispr Flow is revolutionizing the way we interact with technology, making it as seamless as conversing with a close friend.As the leading voice dictation platform, Wispr Flow is now preferred by users over traditional keyboards, thanks to its exceptional understanding and contextual awareness. Whether on desktop or phone, our platform delivers personalized experiences that adapt to your unique needs.Looking ahead to 2026, we aim to expand beyond dictation to develop native actions — a framework that not only understands you but operates reliably across various tasks.Our diverse team of AI researchers, designers, growth specialists, and engineers is committed to reimagining human-computer interaction from the ground up. We prioritize high-agency collaborators who communicate transparently, deeply engage with our users, and focus on the finer details. We foster an environment of spirited discussions, truth-seeking, and meaningful impact.With a remarkable revenue growth of 150% each quarter over the past year and $81 million raised from top-tier venture capital firms and well-known angel investors, Wispr Flow is poised for continued success.
About Flow EngineeringAt Flow Engineering, we are pioneering an AI-native requirements platform that empowers cutting-edge engineering teams to collaborate seamlessly with AI agents. Our mission is to facilitate the design, validation, and evolution of complex systems with unmatched speed and precision. Following our successful Series A funding, we are on an exciting trajectory to scale our product from thousands to hundreds of thousands of users, all while upholding the highest standards of reliability and performance.About the RoleWe are seeking a passionate Infrastructure Software Engineer to join our dynamic team. In this role, you will be instrumental in constructing and expanding the core platform that underpins Flow. You will manage services and infrastructure that empower "agentic systems engineers" and product teams to leverage Flow in their daily tasks.You will become a key member of a small, senior team that prioritizes speed, ownership, and solid engineering principles—delivering version 1 products swiftly, learning, and iterating effectively.Your ResponsibilitiesDesign, develop, and maintain backend services and platform primitives that facilitate complex engineering workflows and large-scale collaboration.Enhance Flow’s capacity from thousands to hundreds of thousands of users, focusing on performance, reliability, observability, and security across the entire stack.Take ownership of CI/CD pipelines, testing infrastructure, and internal tools to enable rapid and safe product releases.Collaborate with frontend and AI engineers to establish robust APIs, data models, and integration points that are easy to adapt and evolve.Contribute to architectural decisions and the technical roadmap as our product and customer base expands.Your ProfileA minimum of 3 years of software engineering experience in building and maintaining production systems within a cloud environment (e.g., AWS or GCP).Deep understanding of systems design, distributed systems, and best practices for reliability, observability, and security.Proficiency with containerization and infrastructure-as-code tools (e.g., Docker, Terraform, etc.).Ability to take ownership of projects end-to-end in a fast-paced environment and make pragmatic decisions amidst ambiguity.A collaborative mindset with low ego, eager to work closely with product, design, and customer-facing teams.Our Technology StackUtilization of TypeScript, Node.js, and React for application development, with a strong emphasis on type safety.Employing Postgres and various managed cloud services for data persistence and messaging.
About Flow EngineeringFlow Engineering is an innovative platform harnessing the power of AI to transform how modern engineering teams manage requirements. Our AI-native solution empowers hardware teams to collaborate seamlessly with intelligent agents, facilitating the design, validation, and evolution of complex systems at unprecedented speed and precision.About the RoleWe are on the lookout for experienced senior software engineers with a passion for AI to develop advanced capabilities that enhance the way teams create, review, and oversee requirements. In this role, you will engage with agentic systems and domain engineer workflows, positioning AI at the core of team decision-making processes regarding their systems.This position uniquely integrates AI, product development, and full-stack engineering, allowing you to transform ideas from initial prototypes into stable, observable features deployed in production environments.What You’ll DoDesign and implement AI-driven features, such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions tailored for systems and domain engineers.Create agentic workflows that empower systems engineers and domain engineers to explore designs, simulate changes, and validate requirements effectively.Assess and integrate language models and associated tools, focusing on optimizing reliability, latency, cost, and debuggability within production settings.Develop and sustain the necessary infrastructure, including data pipelines, evaluation harnesses, prompt and model management, observability, and safety protocols.Engage across the entire technology stack—from backend integrations and APIs to user interface components—to deliver comprehensive AI features beyond mere model endpoints.Collaborate with product teams and customers to identify high-value workflows, conduct experiments, and iterate rapidly based on real-world usage insights.About YouA minimum of 3 years’ experience in applied machine learning, large language models, or related fields, with a proven history of delivering ML/LLM-powered features to production.At least 5 years of experience in software development, involving the design, testing, and operation of scalable services in a cloud-based environment.Practical experience with contemporary LLM providers and tools (e.g., OpenAI, Anthropic, Hugging Face, vector stores, and retrieval-augmented generation patterns).Familiarity with prompt design, retrieval-augmented systems, evaluation methodologies, and safety/guardrail strategies.Strong analytical skills to evaluate trade-offs between various models, architectures, and deployment patterns, enabling informed decision-making.A collaborative spirit and effective communication skills to work alongside cross-functional teams.
Join the Team at Wispr FlowAt Wispr Flow, we're revolutionizing the way you interact with technology, making it as effortless as conversing with a close friend.Our voice dictation platform has become the go-to choice for users, surpassing traditional keyboard interactions due to its unparalleled accuracy and context awareness. Whether on a desktop or mobile device, we ensure seamless communication.Looking forward to 2026, we aim to expand our capabilities beyond dictation, focusing on creating a sophisticated framework for native actions that reliably understands user intent.Our diverse team, comprised of AI researchers, designers, growth specialists, and engineers, is dedicated to redefining human-computer interaction. We seek high-agency individuals who value open communication, prioritize user experience, and pay meticulous attention to detail. Our culture thrives on constructive debate, truth-seeking, and making a tangible impact.Having achieved a remarkable growth of over 150% in revenue for the last four consecutive quarters and securing $81M in funding from top-tier venture capitalists, we are poised for continued success. As we gain momentum, the demand from our customers increases, prompting the expansion of our customer support team.
About Flow EngineeringFlow Engineering is at the forefront of revolutionizing how humanity constructs its most intricate machines. Our platform is the premier tool for complex systems engineering, embraced by pioneering teams in sectors such as aerospace, defense, automotive, aviation, and robotics. If a company is aiming for the Moon, developing fusion energy, or planning the first interplanetary settlement, they are likely utilizing Flow Engineering to achieve those ambitious goals.We are proudly backed by Sequoia Capital, with notable angel investors including Patrick and John Collison (Stripe), David Helgason (Unity), and Kyle Parrish (Figma).About the RoleAs one of our pioneering Forward Deployed Engineers, you will operate at the crucial intersection of sales, engineering, and customer engagement. Your role involves comprehending how advanced hardware teams operate, guiding deployments, and facilitating adoption, ensuring that our customers are equipped with the insights and tools necessary to attain significant results.This position is perfect for individuals who have a background in hardware engineering and have a passion for collaborating with customers to solve complex challenges. You will empower leading hardware companies to transform their operational methodologies.What You’ll DoOwn the Technical Win: You will play a vital role in the sales process, driving custom demos and managing trial/POC execution, which is critical for securing new business for Flow Engineering.Understand and Map Customer Workflows: Collaborate with clients to gain a comprehensive understanding of their workflow, address pain points, and prioritize solutions tailored to their needs.Conduct Technical Enablement Sessions: Identify and showcase how Flow can enhance the customer’s development process through workshops, training, and collaborative solution sessions.Shape Our Roadmap: Act as the liaison between our customers and the engineering team to develop innovative solutions. Your insights will be essential in crafting the future roadmap of our product.Establish the GTM Foundation: Assist in developing and defining Flow’s activation strategies for key customers. You will contribute to the design of our technical GTM playbook, implementation guides, and training materials for future team members.About YouSolid Software Engineering Fundamentals: Proficient in designing, testing, and operating services at scale within a cloud environment.Excellent Communication Skills: Ability to convey technical concepts effectively to both technical and non-technical audiences.Customer-Centric Focus: Passionate about collaborating with customers and driven to solve their challenges.Proactive Problem-Solving: Ability to anticipate and address customer needs before they arise.
At Greptile, we are on a mission to develop intelligent agents that autonomously verify code modifications. Our current focus involves utilizing AI to analyze pull requests on GitHub, effectively identifying bugs and enforcing coding standards. With our technology, we review nearly 1 billion lines of code each month for over 3,000 companies.Challenges We Are Excited To TackleDeveloping agents that can learn coding standards through experience, similar to how new hires adapt.Determining customer-specific preferences for pull request feedback using sample-efficient reinforcement learning to enhance signal-to-noise ratios.Implementing automated deployments of feature branches and leveraging agents to stress-test the application for bug detection.Our Growth TrajectoryServing over 7,000 customers.Successfully raised $30 million from prominent investors including Benchmark, Y Combinator, Paul Graham, and Initialized.Our TeamWe have curated a highly skilled team that has successfully scaled vital functions at leading companies such as Stripe, Google, Figma, and others.Key ResponsibilitiesDesign and implement resilient infrastructure to accommodate Greptile's expanding user base.Collaborate with our largest enterprise clients to facilitate the deployment of Greptile within their environments.Streamline the on-premise deployment process to support smaller clients with minimal hands-on intervention.
About NumeralNumeral is revolutionizing the automation framework for online commerce, beginning with the often tedious task of sales tax compliance. We take care of everything from registration to remittance, providing an exceptional service that allows e-commerce businesses to concentrate on their core mission: expanding their products, customer base, and teams.As one of the rapidly growing companies from Y Combinator’s Winter 2023 cohort, we are backed by prestigious investors such as Benchmark Capital. Our team boasts extensive experience from the pioneering days at Stripe, Airbnb, Notion, and other leading firms, and we are poised to bring that same level of expertise, speed, and ambition to an industry ripe for transformation.Numeral may be small, but our impact is significant. Our growth is already approaching unmanageable levels, meaning each new hire will play a crucial role in shaping our company’s future. If you’re eager to join as an early team member and desire the kind of ownership that can define your career, we would love to connect with you.MissionOperating an online business today often requires juggling numerous responsibilities, many of which are not why founders launched their ventures. Our mission is to alleviate the administrative and accounting pressures that divert businesses from their passions.We have already assisted hundreds of merchants in sidestepping the headache of establishing large finance teams solely to manage tax compliance. Looking ahead, we aim to broaden our positive impact by developing the automation layer that enables online businesses to remain agile, compliant, and prepared for the future.About the RoleWe are seeking a foundational Software Engineer (Infrastructure) who excels at tackling complex distributed systems challenges at scale. In this role, you will design and implement core infrastructure, enhance service reliability and observability, and guarantee the platform’s scalability as we accommodate growing transaction volumes and integrations.This is a pivotal role with high leverage: your contributions will shape the architecture and technical direction of our infrastructure platform, directly influencing our customers’ experience and the trajectory of the company.ResponsibilitiesDesign and develop highly scalable, secure, and reliable infrastructure to support critical APIs, services, and data pipelines.Lead infrastructure architecture decisions focusing on performance, observability, and fault tolerance.
About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates your email, calendar, and meetings into an organized platform. It captures every interaction and transforms it into actionable insights, tasks, accounts, and follow-ups, ensuring that nothing is overlooked.We are revolutionizing the CRM landscape from the ground up. Rather than imposing rigid structures on teams, Lightfield adapts to how businesses naturally operate, automating processes and highlighting insights that foster growth. We are crafting the CRM platform of our dreams: fast, intelligent, and genuinely beneficial.Supported by esteemed investors like Greylock, Lightspeed, and Coatue, our team has a rich history of building impactful products, including Tome, a generative AI presentation tool embraced by over 25 million users. Our collective experience spans companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are in search of a skilled, innovative, and adaptable engineer excited to take on the challenge of designing, developing, and scaling the foundational infrastructure and systems that power Lightfield's AI-enhanced CRM.At Lightfield, engineers take full ownership of projects from ideation to execution, collaborating across various functions and pushing the boundaries of what is achievable in applied AI and data systems. You will play a pivotal role in crafting and constructing the data models and infrastructure that support a next-generation CRM, ensuring optimal performance, scalability, and resilience.What You'll DoDevelop and sustain full-stack systems, ensuring reliability, scalability, and robust performance.Architect and enhance the data infrastructure and backend services that drive Lightfield's AI-powered CRM.Design and refine data models to facilitate CRM workflows, customer interactions, and AI-derived insights.Create observability and metrics frameworks to promote seamless operations, proactive issue detection, and ongoing enhancements.Guide colleagues, engage in code reviews, and contribute to shaping the engineering culture and best practices.Play a key role in cultivating a top-tier engineering team through recruitment, mentorship, and knowledge exchange.Who You ArePossess 3+ years of software development experience, with a solid foundation in infrastructure, data modeling, and backend systems.Demonstrate extensive experience in designing scalable, high-performance systems.
Wispr Flow creates voice dictation technology that aims to make digital interactions feel as natural as a conversation with a friend. The platform supports both desktop and mobile, focusing on high accuracy and context-aware responses. Looking ahead, the team plans to expand beyond dictation by 2026, building native actions that let the system understand and respond to user needs more intelligently. The Wispr Flow team includes AI researchers, designers, and engineers who prioritize user-centric solutions and open communication. The culture values individuals who show initiative, give and receive direct feedback, and pay close attention to detail. Spirited debate and a drive to make a real impact are part of daily work. The company has achieved 150% revenue growth over the past year and has raised $81 million from leading venture capital firms and notable angel investors. Role overview The Product Lead will guide projects such as ICP tailoring and the development of new voice-to-action interfaces. This role blends strategic product development, rapid experimentation, and hands-on execution. The Product Lead will work closely with a cross-functional team to help define the next phase of the Wispr Flow platform. This position is suited for someone comfortable with ambiguity, who takes strong ownership, and finds energy in the challenges of consumer product development in the AI space. Location San Francisco
About Flow EngineeringAt Flow Engineering, we are revolutionizing the complexities of hardware design with our AI-native requirements platform. Our innovative approach combines elite engineering talent with AI capabilities, enabling teams to design, iterate, and deliver projects more efficiently than ever before.Role OverviewWe are seeking a Senior Frontend Software Engineer who will be pivotal in shaping core user experiences within our platform. You will leverage AI-driven workflows to create a seamless, intuitive user interface that simplifies complex systems engineering concepts. Collaborating closely with design, product, infrastructure, and AI engineering teams, you will ensure that our product remains user-friendly and efficient.Your ResponsibilitiesLead the development of substantial user-facing features in Flow v3, including interactive views for requirements, collaboration processes, and AI-enhanced workflows.Create high-quality, accessible user interfaces utilizing a contemporary frontend framework and component system.Incorporate AI functionalities into the product in ways that are intuitive, interpretable, and beneficial for engineers.Collaborate with design and product teams to rapidly iterate on interaction patterns, prototypes, and new workflows.Contribute to defining frontend architecture, design systems, and performance enhancements as the application and user base grow.About YouYou possess over 5 years of experience in developing rich, data-intensive web applications using modern frontend frameworks.You have robust experience with React (or a similar framework) and TypeScript, including component design, state management, and testing methodologies.You adopt a product-oriented mindset, considering user journeys and edge cases beyond just individual screens.You are comfortable collaborating closely with design and product teams, providing and receiving feedback throughout the iteration process.You are open to occasionally working across the stack (e.g., refining APIs, integrating features) to deliver complete functionalities.Our Technology StackOur primary frontend stack includes React and TypeScript.We utilize Tailwind or a similar utility-first or component-driven styling approach.Integration with backend APIs and AI services is a critical aspect of our platform.
About Our TeamJoin our dynamic Infrastructure organization at OpenAI, where we are actively seeking talented software engineers to bolster our efforts across several high-impact teams. With a variety of focus areas available—including Core Distributed Systems, Databases, Observability, and Cloud Infrastructure—you'll have the opportunity to work on projects that fascinate you. Our teams operate with a high level of autonomy and foster a deeply collaborative environment, all dedicated to enhancing safety, reliability, and operational velocity across the organization.About the RoleAs a Software Engineer focused on Infrastructure Reliability, you will play a pivotal role in scaling and fortifying the infrastructure that supports some of the world’s most widely utilized AI systems. Your work will ensure that our systems maintain high reliability, observability, performance, and security—enabling researchers to iterate rapidly and allowing products like ChatGPT and the OpenAI API to effectively serve millions of users.This hands-on, impactful role is perfect for engineers who enjoy ownership, excel at solving complex technical challenges across the entire stack, and wish to contribute to systems that facilitate cutting-edge research deployed on a global scale. You will significantly influence technical direction, enhance system resilience, and collaborate closely with infrastructure, product, and research teams to transform intricate infrastructure into dependable platforms.Key ResponsibilitiesDesign, construct, and maintain reliable, high-performance systems utilized across engineering.Identify and resolve performance bottlenecks and inefficiencies, ensuring our infrastructure scales appropriately.Investigate and troubleshoot complex issues thoroughly.Enhance automation to minimize manual tasks and improve internal developer tools.Participate in incident response, postmortem analysis, and the development of best practices surrounding system reliability and scalability.Ideal Candidate ProfilePossess a deep understanding of distributed systems principles, with a proven track record in developing and managing scalable, reliable systems.Demonstrate a strong focus on performance and optimization, with the ability to maximize efficiency in complex, globally distributed systems.Have experience managing orchestration systems such as Kubernetes at scale and creating abstractions over cloud platforms.Be comfortable working within Linux environments and possess strong problem-solving skills.
About Flow EngineeringFlow Engineering is pioneering the future of hardware systems development. Our mission is to transform how humanity designs and builds its most essential machines.Supported by Sequoia Capital and notable angel investors like Patrick & John Collison (Stripe), David Helgason (Unity), and Kyle Parrish (Figma), we are at the forefront of innovation.Flow is the leading requirements tool in complex systems engineering, utilized by advanced sectors such as space exploration, defense, automotive, and robotics. Our contributions will be pivotal as humanity ventures back to the Moon, harnesses fusion energy, or establishes the first interplanetary colony. Why Join Us?At Flow, we seek individuals who challenge the status quo, innovate fearlessly, and tackle complex problems, even if no specific role is currently available. If our mission resonates with you and you envision a way to contribute meaningfully, we would be eager to connect.You will have the opportunity to shape your own career journey within a dynamic, rapidly expanding environment. If there is a strong match, we will collaborate to define a role that aligns with your talents and our strategic needs.Please send us your resume along with a brief note highlighting your strengths and proudest achievements. Our ValuesSpeed is our Superpower: We believe that urgency in our work is essential. This discipline empowers us to achieve remarkable results.Own, Downscope, Ship, Iterate: We embrace rapid cycles of development, focusing on delivering a minimum viable product quickly and learning from user feedback. Success comes from our commitment to execution.Master the Fundamentals: Success stems from mastering the basics while prioritizing simplicity and clear communication.Disagree and Commit: We encourage robust discussions and quick decision-making to maintain our momentum.Enjoy the Journey: We believe in celebrating the growth and challenges we encounter along the way.
Full-time|$150K/yr - $300K/yr|On-site|San Francisco
About VibecodeAt Vibecode, we are revolutionizing the way software is created. Our innovative platform empowers anyone to articulate an idea and instantly transform it into a fully functional application—no coding skills required.We are tackling one of the most significant challenges in computing: aligning human intent with software execution. This endeavor necessitates groundbreaking advancements in AI reasoning, code generation, and user experience design.Our impressive seed funding comes from some of the top investors globally, including Alexis Ohanian (776), Arielle Zuckerberg, Cyan Banister (Long Journey), Ali Partovi, Suzanne Xie (Neo), and numerous esteemed angels from Google, Expo, OpenAI, and beyond.About the RoleAre you eager to be at the cutting edge of infrastructure design for a consumer product that will reach millions? If so, this opportunity is perfect for you.We seek an Infrastructure Engineer to develop the foundational systems that support millions of AI-generated applications. You will design a platform capable of securely hosting thousands of user-created applications concurrently while ensuring optimal performance and unwavering reliability.Your Responsibilities:Develop and implement secure sandbox environments for executing untrusted AI-generated code at scale.Create orchestration systems for stateless containers capable of launching over 10,000 applications simultaneously.Architect backend API services for real-time code generation, compilation, and deployment.Establish monitoring and observability systems for complex, multi-tenant application infrastructures.Design auto-scaling solutions to manage unpredictable traffic patterns from viral consumer applications.Build security-focused infrastructure that isolates user applications while preserving performance.This is not conventional infrastructure work. You will face unique challenges related to large-scale code execution, develop systems that are yet to be created, and establish infrastructure paradigms suited for the AI-native era.
About Flow EngineeringFlow Engineering is a pioneering AI-native requirements platform tailored for contemporary engineering organizations. Our innovative technology empowers hardware teams to engage collaboratively with AI agents, facilitating the design, validation, and evolution of complex systems with unparalleled speed and precision.About the RoleWe are on the lookout for skilled staff software engineers with a focus on AI who are passionate about developing AI-infused capabilities. Your work will enhance how teams draft, review, and manage requirements efficiently. You will be integral to workflows involving agentic systems engineers and domain engineers, effectively placing AI at the core of team interactions and decision-making processes.This position merges AI, product development, and full-stack engineering, enabling you to advance concepts from initial prototypes to robust, observable features in a production environment.Key ResponsibilitiesDesign and implement AI-enhanced functionalities such as assisted requirement drafting, consistency checks, impact assessments, and intelligent recommendations for systems and domain engineers.Create agentic workflows that empower systems engineers and domain engineers to explore designs, simulate modifications, and validate requirements effectively.Assess and incorporate language models and related tools, optimizing for reliability, latency, cost-effectiveness, and debuggability in production settings.Develop and sustain the complementary infrastructure, including data pipelines, evaluation frameworks, prompt and model management, observability, as well as safety measures and guardrails.Engage across the technology stack, from backend integrations and API development to user interface components, delivering comprehensive AI capabilities beyond mere model endpoints.Collaborate with product teams and clients to pinpoint high-impact workflows, conduct experiments, and iterate swiftly based on user feedback.QualificationsA minimum of 3 years of experience in applied machine learning, large language models (LLMs), or related domains, with a proven history of deploying ML/LLM-driven features in live environments.At least 8 years of experience in software development, including the design, testing, and operation of scalable services in a cloud-based infrastructure.Proficiency with contemporary LLM providers and tools (e.g., OpenAI, Anthropic, Hugging Face, vector databases, retrieval-augmented generation patterns).Familiarity with prompt crafting, retrieval-augmented systems, evaluation techniques, and safety protocols.Strong analytical skills to evaluate trade-offs among various models, architectures, and deployment strategies, enabling pragmatic decision-making.An openness to continuous learning and adapting to evolving technologies.
About Flow EngineeringFlow Engineering is an innovative AI-driven requirements platform that simplifies complex engineering tasks, enhancing clarity, collaboration, and verifiability. We are transforming the landscape of hardware development by integrating elite engineering talent with AI agents, enabling rapid design, iteration, and deployment.Role OverviewWe are seeking a talented Staff Frontend Software Engineer to take charge of key user experiences within Flow. You will lead the creation of AI-enhanced workflows, ensuring they are seamlessly integrated into a user-friendly interface. Collaborating with design, product, infrastructure, and AI engineering teams, you will simplify complex systems engineering concepts to enhance usability.Key ResponsibilitiesTake ownership of significant user-facing components in Flow v3, including interactive requirements views, collaboration features, and AI-assisted workflows.Develop high-quality, accessible user interfaces using modern frontend frameworks and a component-based approach.Incorporate AI features into the platform in intuitive and beneficial ways for engineers.Collaborate with design and product teams to quickly iterate on interaction patterns, prototypes, and new workflows.Contribute to shaping frontend architecture, design systems, and performance enhancements as the application and user base grow.About YouOver 8 years of experience developing dynamic, data-intensive web applications with modern frontend frameworks.Proficient in React (or similar) and TypeScript, including component architecture, state management, and testing methodologies.A user-centric mindset: you consider user journeys, edge cases, and clarity over mere screen design.Able to work closely with design and product teams, providing and receiving constructive feedback throughout development cycles.Willing to occasionally engage with backend processes (e.g., API refinement, integration) to ensure comprehensive feature delivery.Our Technology StackReact and TypeScript as our core frontend technologies.Utilization of utility-first CSS frameworks like Tailwind for styling.
OVERVIEWThis position is based out of our San Francisco office.At Modern Treasury, we are revolutionizing the way money moves. Our team is developing innovative products that empower customers to transfer funds seamlessly across traditional banking systems and emerging technologies, including stablecoins. In this role, you will play a critical part in designing, deploying, and managing the infrastructure that enables this transformation.This is a hands-on devops position that offers significant ownership of our infrastructure architecture and platform automation.ABOUT THE ROLEAs a key player at the crossroads of infrastructure, platform engineering, and security, you will define the strategies for scaling and managing our infrastructure while guiding teams to adopt cohesive architectural patterns.You will take the lead in building infrastructure systems that support:Multi-rail money movementReal-time payment flowsLedger-backed transaction processingHigh-availability payment orchestrationThis role is a senior individual contributor position that significantly influences our Product, Platform, and Infrastructure teams.WHAT YOU’LL DOLead the architecture for AWS infrastructure, container orchestration, and CI/CD processes to support scalable payment systems.Standardize automation and infrastructure-as-code practices for provisioning, scaling, and operating high-volume ledger and transaction platforms.Minimize operational overhead through enhanced tooling, optimized workflows, and elevated engineering standards.Enhance performance, reliability, and observability across our real-time and rails-specific infrastructure.Define service ownership and operational models, ensuring alignment between platform and product teams on scalable rail architecture.Contribute to the infrastructure and security strategy for new payment rails, including FBO structures, stablecoin integrations, and compliance-focused features.WHAT YOU SHOULD HAVERequired8+ years of experience in DevOps or infrastructure engineering.
Full-time|$209K/yr - $283K/yr|On-site|San Francisco
About Candid HealthCandid Health is dedicated to transforming the healthcare landscape by addressing one of its most intricate and expensive challenges: the billing and revenue cycle management (RCM) process. The healthcare sector has been hampered by sluggish, inefficient workflows that squander precious resources, ultimately detracting from providers' ability to focus on patient care. Our innovative revenue cycle automation platform is set to revolutionize this domain with a smart, data-driven methodology that streamlines billing, enhances claims processing, and eradicates administrative inefficiencies.The OpportunityAs a Staff Engineer at Candid Health, you will have the opportunity to tackle our most challenging infrastructure issues, developing the essential frameworks needed for rapid scalability and to meet surging customer demand.In this position, you will take significant ownership of resolving technical bottlenecks related to scalability, performance, reliability, and observability across distributed systems. You will be empowered to make strategic decisions regarding build versus buy, guiding technical discussions and architecting solutions that enhance the reliability and performance of our core platform.Moreover, you will participate in leadership discussions, allowing you to advocate for your team, influence project prioritization on the roadmap, and stay informed about developments across the engineering organization.We seek an individual who has successfully led high-stakes, business-critical technical projects to swiftly scale an organization's infrastructure, significantly impacting business success. The ideal candidate will have experience in a startup environment where the product achieved maturity, yet the technology required rapid scaling to meet customer needs, and you were integral in facilitating that growth.
About UsAt Hayden AI, we are dedicated to leveraging the capabilities of computer vision to revolutionize how transit systems and government agencies tackle pressing real-world issues.Our cutting-edge mobile perception system enhances bus lane enforcement, transportation optimization, and much more, empowering our clients to speed up transit, improve street safety, and work towards a sustainable future.About the RoleThe Infrastructure Engineering team plays a vital role in the success of Hayden AI products. We are responsible for the foundational infrastructure that links thousands of deployed devices to our extensive, multi-region cloud services and applications that utilize the data collected from these devices. If you consider yourself a force multiplier, you’ll thrive in our dynamic team!Key Responsibilities:Architect the Service Backbone: Lead the design and continuous improvement of our core services architecture, ensuring a robust, high-availability backbone for all cloud services and engineering teams.Drive Technical Roadmap: Define the long-term technical strategy and architectural vision for our cloud services, aligning with future business expansion and technological advancements.Strategic Decision Making: Lead pivotal architectural decisions, conduct in-depth code reviews, and assess technical trade-offs to maintain a sustainable and scalable service ecosystem.Scale Multi-Region Cloud: Design and oversee globally distributed, multi-region cloud deployments utilizing advanced Infrastructure as Code (IaC) for optimal scalability and performance.Automate Everything: Employ automation and modern orchestration tools to minimize manual tasks, enabling a self-service infrastructure model that allows developers to deploy code swiftly and safely.
Full-time|$126K/yr - $163K/yr|On-site|San Francisco, CA, OR Anywhere in the Continental U.S.
Clever is dedicated to bridging the gap in education by connecting every student globally to a vast array of learning opportunities. Our innovative identity platform supports 77% of U.S. schools and over 1 million K-12 students worldwide. As a trusted ally for educational institutions, we ensure secure and seamless access to digital learning resources, empowering students everywhere. Clever is proud to be a Kahoot! Company, headquartered in San Francisco, CA, with a far-reaching impact. Discover more about us at www.clever.com.The Infrastructure team at Clever is responsible for the engineering of our platform. This includes the development and enhancement of the internal developer platform utilized by our engineering teams to build, deploy, operate, and monitor Clever’s products. As a valued member of the Infrastructure team, you will be instrumental in creating self-service 'golden paths' and shared tools that enable teams to deliver and iterate on products swiftly and safely while ensuring adherence to reliability, security, and compliance standards. You will collaborate with engineering teams to identify pain points, enhance automation and workflows, and continuously elevate the developer experience and operational efficiency throughout the organization.
About Flow EngineeringFlow Engineering is revolutionizing the way modern engineering organizations manage their requirements through an AI-native platform. Our technology empowers hardware teams to collaborate seamlessly with AI agents, accelerating the design, validation, and evolution of complex systems with unparalleled speed and precision.Role OverviewWe are on the lookout for experienced Full Stack Software Engineers to join our dynamic team at Flow. In this role, you will create innovative AI-driven features that enhance how teams draft, review, and manage requirements. You will be instrumental in integrating AI into the workflows of systems and domain engineers, transforming the way teams conceptualize their projects.This position sits at the intersection of artificial intelligence, product development, and full-stack engineering, allowing you to take concepts from their initial prototype phase all the way to stable, observable features in a live production environment.Your ResponsibilitiesCreate and implement AI-enhanced functionalities, such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers.Develop agentic workflows that enable systems and domain engineers to explore designs, simulate modifications, and validate requirements effectively.Assess and incorporate language models and related tools, focusing on reliability, latency, cost-effectiveness, and debuggability in a production setting.Construct and maintain essential infrastructure, including data pipelines, evaluation tools, model management systems, and observability frameworks.Engage across the entire stack—from backend integrations and APIs to simple UI components—to deliver comprehensive AI features, rather than just model endpoints.Collaborate with product teams and customers to identify high-impact workflows, conduct experiments, and iterate quickly based on feedback and usage data.QualificationsA minimum of 5 years of experience in developing production software, including service design, testing, and operation at scale within cloud environments.Direct experience with modern large language model (LLM) providers and tools (e.g., OpenAI, Anthropic, Hugging Face, vector stores, RAG patterns).Understanding of prompt design, retrieval-augmented systems, evaluation methodologies, and safety/guardrail techniques.Ability to analyze trade-offs between various models, architectures, and deployment strategies to make informed decisions.Thrives in a fast-paced, high-ownership environment where experimentation and iteration are encouraged.Our Technology Stack (AI-focused)...
Feb 13, 2026
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