Full-Stack Software Engineer at Superhuman | San Francisco

Full Stack Software Engineer (Various Levels)Join our client, a pioneering organization dedicated to developing the most advanced non-invasive technology for interfacing with the human brain. They are focused on creating an innovative ultrasound-based platform that can stimulate and image brain activity with unmatched resolution and depth, unlocking new avenues in neurological treatment, research, and human health.By integrating state-of-the-art hardware, real-time software systems, and applied neuroscience into a cohesive product stack, they aim to deliver scalable solutions that enhance lives on a global scale. We are currently seeking a Full Stack Software Engineer to contribute significantly to the development of software systems that bridge complex hardware, real-time data, and user interaction.

Join Condor Software as a Full-Stack Platform EngineerAt Condor, we are revolutionizing the financial infrastructure that supports clinical development. With billions invested annually in discovering and developing new therapies, we strive to connect clinical operations and finance into a cohesive system. By integrating real-time financial intelligence, we empower R&D and finance leaders with the tools they need to make informed, high-stakes decisions.We are an AI-driven, pharma-native infrastructure provider, scaling industry standards in collaboration with top-tier partners. Our platform facilitates prediction, control, and execution in the most complex R&D environments worldwide.The Importance of Your RoleHaving established ourselves as a trusted partner for enterprise teams, we are now focused on the challenging task of scaling our platform to meet increasing demands. As a rapidly growing company, backed by prominent investors like Felicis and 645 Ventures, this is a unique opportunity to contribute to the foundational infrastructure that will redefine how therapies reach patients.Your ResponsibilitiesAs a Full-Stack Platform Engineer, you will be pivotal in building and scaling the core platform that supports the financial intelligence infrastructure relied upon by leading biopharma companies. This role encompasses critical engineering tasks at the intersection of backend systems, cloud infrastructure, and intelligent automation, with a strong emphasis on reliability and scalability.Your primary focus will be on backend architecture, where you'll design and implement services that drive complex financial and operational workflows. You'll be instrumental in shaping data flow, workflow orchestration, and enabling emerging AI-driven capabilities. This role goes beyond simple integration; you'll be crafting robust primitives that support other teams as our product and customer base expand.Working as a core member of a cross-functional product team, you will closely collaborate with product managers, designers, quality engineers, and data specialists to transition features from concept to production. While backend expertise is crucial, you will also engage across the stack to ensure the platform's capabilities are effectively leveraged.

About HappyRobotHappyRobot is pioneering the AI-native operating system for the real economy—an innovative platform that seamlessly integrates intelligence with actionable outcomes. By harnessing real-time insights, specialized AI agents, and a coordinating intelligence, we empower enterprises to manage intricate, mission-critical operations with genuine autonomy.Our AI OS continuously accumulates knowledge, optimizes processes at every level, and adapts over time. We're initially focusing on supply chain and large-scale industrial operations, where resilience, speed, and ongoing enhancement are paramount—liberating humans to concentrate on strategic thinking, creativity, and other high-value pursuits.Discover more about our vision in our Manifesto. HappyRobot has successfully secured $62M in funding to date, including a recent $44M Series B round in September 2025. Our esteemed investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10, who share our commitment to transforming enterprise operations. We are channeling this investment into assembling a world-class team—individuals with unwavering determination, exceptional problem-solving abilities, and a passion for pushing boundaries in a dynamic, high-pressure environment. If this resonates with you, we invite you to join us at HappyRobot.About The RoleAt HappyRobot, Full Stack Engineers take charge of significant components of the product and infrastructure from start to finish.We are seeking creators who thrive in uncertain environments, have a profound appreciation for their craft, and desire authentic ownership over their creations.

About Tacit Tacit is an early-stage deep tech startup based in San Francisco, focused on hardware that changes how people interact with computers. Backed by General Catalyst, Khosla Ventures, and Greylock Partners, the team brings experience from Stanford, BrainGate, Oculus, and Tesla. The company is committed to solving complex engineering problems to deliver new products that push the boundaries of human-computer interaction. Role Overview The Full-Stack Software Engineer will help turn ambitious ideas into real products, working across Tacit's software stack. This role involves taking features from initial concept through to deployment and shaping user experiences that support the company’s mission. What You Will Do Develop the internal product stack to improve workflows and prototypes across devices and companion clients. Build and expand internal applications for demos and data collection, supporting idea testing and user experience validation. Prototype new features for human-computer interaction, iterate with test users, and refine until the experience feels seamless. Design and run product experiments, including A/B tests and feedback loops, to quickly gather insights and guide product direction. Streamline data collection and participant experiences, including setup flows, session reliability, metadata capture, monitoring, and labeling. Develop demo features that showcase real-time sensing and inference in engaging, reliable ways. Find and implement integrations that improve team workflows and efficiency. Create and improve automated testing and release systems, such as CI/CD pipelines, smoke tests, and regression checks, to support frequent updates. Work closely with machine learning, hardware, and industrial design teams to define requirements, deliver results, troubleshoot, optimize, and ensure reliability. Qualifications Strong skills in Python (FastAPI, Pydantic; experience with pandas or numpy) and modern TypeScript/React. Experience building production backends (APIs, data models, reliability, observability) and delivering features for end users. History of shipping multiple products from start to finish.

At Siftstack, we are revolutionizing the development, testing, and operation of modern machines. Our innovative platform empowers engineers with real-time observability over high-frequency telemetry, effectively eliminating bottlenecks and facilitating faster, more dependable development.Founded by a team of experts from SpaceX, Google, and Palantir, Siftstack was inspired by our experience with pioneering projects like Dragon, Falcon, Starlink, and Starship. Our mission-critical infrastructure is designed for precision and scalability, meeting the highest demands of reliability in engineering.As an early-stage engineer at Siftstack, you will not only write code, but you will also play a pivotal role in defining our architecture, shaping our product, and cultivating a culture focused on addressing real engineering challenges. If you thrive on tackling complex technical problems and want to build foundational systems that support intricate machines, we'd love to hear from you.

Machine Learning EngineerJoin our client, a pioneering company dedicated to developing state-of-the-art non-invasive technology for brain interfacing. They are at the forefront of creating an innovative ultrasound-based platform that not only stimulates but also images brain activity with unmatched precision and depth, paving the way for groundbreaking advancements in neurological treatments and health research.This integrated approach combines cutting-edge hardware, sophisticated real-time software systems, and applied neuroscience to produce scalable solutions that can enhance lives on a global scale.We are looking for a skilled Machine Learning Engineer to play a crucial role in designing and implementing the essential algorithms that will facilitate precise imaging and targeting of brain activity through ultrasound systems.

About StackAIStackAI is a revolutionary no-code AI workflow platform that enables businesses to construct, implement, and expand AI-driven workflows without requiring extensive machine learning expertise. With a growing user base and increasing enterprise adoption, our goal is to democratize access to large language models (LLMs), empowering every business operator—beyond just developers. Supported by Y Combinator and top-tier investors, we are laying the groundwork for the AI-driven future of work.The RoleAs a Senior Full Stack Engineer, you will be instrumental in defining the product and technical architecture at StackAI. Your responsibilities will span the entire technology stack, from crafting scalable backend systems to creating stunning and user-friendly frontend interfaces, and incorporating advanced AI models into our platform. This role offers significant impact, as you will work closely with the founding team, take charge of essential product features, and shape the engineering culture of a rapidly evolving startup.We seek exceptional 10X engineers—innovative builders who can consistently deliver results in a dynamic environment, remain inquisitive, and excel in diverse roles.ResponsibilitiesIn this role, you will:Build and own the entire platform, from backend services and APIs to frontend interfaces.Create robust, scalable backend systems utilizing Python and FastAPI (or similar), with optimized databases (SQL/NoSQL).Design and maintain high-quality user interfaces using React, Next.js, TypeScript, and Tailwind CSS, ensuring polished, intuitive, and responsive user experiences.Integrate new AI models and features into our products for seamless performance and enhanced value.Manage StackAI’s landing and product pages to establish benchmarks for clarity, design, and quality.Collaborate across the stack to connect backend services with frontend applications seamlessly.Engage with design, product, and customers to refine product direction and prioritize user needs.Stay at the forefront of full-stack technologies, promoting best practices and innovative solutions.Assist with customer support as needed; every team member contributes to user satisfaction.

Why Choose Alex?At Alex, one of the most promising startups emerging from our Y Combinator batch, we are making significant strides in the hiring landscape. We have secured strong funding, are generating revenue, and have ample runway to fuel our growth.Our innovative AI-driven recruitment tool revolutionizes the job interview process, enabling companies to obtain critical hiring insights more swiftly and effectively than ever. Our clients are enthusiastic about our product, and we are just beginning our journey.Who We Are?We are a team of individuals who:Thrive on tackling complex engineering challengesAdapt quickly and are committed to achieving resultsDedicate ourselves to hard workAct with urgencyValue in-person collaboration in our San Francisco office, five days a weekTechnologies We UtilizeWe prefer candidates with experience in:JavaScript (Typescript, React, Node, Next)PythonCloud and DevOps tools (Azure, Kubernetes, Docker)System ArchitectureYour ResponsibilitiesAt Alex, we operate similarly to a marketplace, providing unique interview experiences for candidates and a robust data analysis platform for employers. As a hands-on engineer, you will develop both consumer-facing applications and enterprise-grade software, with ample opportunities for professional growth. Potential consumer software challenges include:How can we reduce average interviewer response latency to 200ms?How can we refine our models to minimize hallucinations and help Alex pass the Turing test?How will our system architecture evolve as we scale to accommodate thousands of users concurrently?You will also address enterprise-related software challenges such as:How do we integrate with our clients' internal hiring systems?What is the optimal way to visually present interview results swiftly?How can Alex facilitate end-to-end coordination of the hiring process?And a myriad of feature requests awaiting your expertise!

About Numeral:Numeral is revolutionizing the tax landscape for digital businesses, helping them navigate the complexities of regulations across 47 states and over 50 countries. Our mission is to lift this burden so that teams can concentrate on their primary objectives.As the largest and fastest-growing AI-driven tax solution, Numeral was established in 2023 and has successfully raised over $57 million from notable investors such as Benchmark, Mayfield, and Y-Combinator. We proudly serve more than 2,500 paying customers and have consistently tripled our revenue year over year since our inception.While our main hiring hubs are in San Francisco and New York, we do offer remote opportunities based on specific circumstances.About the Role:We are in search of a foundational Full-Stack Engineer who thrives in dynamic environments, enjoys constructing intricate distributed systems, and is eager to establish core architecture within a rapidly expanding early-stage startup. You will spearhead the design and implementation of APIs, services, and infrastructure that form the backbone of our platform. Additionally, you will collaborate with leadership to drive engineering strategy, product execution, and cultural development.Your Responsibilities:Design and develop scalable and secure backend services and APIs from the ground up.Make architectural choices that prioritize speed, data integrity, and long-term sustainability.Work closely with product, design, and data teams to create efficient systems that enhance crucial customer workflows.Take ownership of infrastructure, observability, and performance for the services you create.Contribute to the establishment of engineering best practices, code quality, and a robust backend culture.What You Bring:Over 7 years of experience in developing backend systems in high-growth settings.Proficiency in backend technologies such as Node.js, PostgreSQL, Redis, and cloud services (AWS preferred).Experience in designing resilient APIs and distributed systems at scale.A strong product sensibility with the ability to balance performance, flexibility, and speed.A startup mindset: comfortable with ambiguity and eager for swift growth.Intensity & Ownership: This role goes beyond a standard 9-5 — we are rapidly scaling and face exciting opportunities ahead.Customer Obsession: A genuine commitment to enhancing user experience and resolving their challenges.

Join us as we create a revolutionary gamified developer platform that enables thousands of developers to engage in thrilling software engineering challenges that explore the limits of LLMs.As a Full Stack Software Engineer, you will integrate into a dynamic, enthusiastic team focused on tackling complex technical issues, crafting captivating gamification experiences, and establishing robust systems that facilitate collaboration among developers worldwide.Key ResponsibilitiesDevelop and sustain comprehensive features across both frontend and backend systems.Design scalable, high-performance backend services and user-friendly, responsive frontend interfaces to enable real-time coding competitions and engaging user experiences.Work closely with product managers, designers, and engineers throughout the stack to swiftly deliver impactful features.Lead technical discussions, influence architectural decisions, and identify areas for enhancement across the entire technology stack.Establish engineering best practices that include code quality, testing protocols, observability, and thorough documentation.QualificationsMinimum of 3 years of experience developing scalable, high-performance full stack applications in production settings.Proficient in creating frontends with React, TypeScript, and Tailwind CSS.Experience in designing secure and efficient APIs and backend services using Go.Familiar with cloud infrastructure and services (AWS) and Docker.Possess a proactive approach, comfortable with rapid iteration based on user feedback.Preferred QualificationsExperience with Infrastructure as Code (IaaC) using Terraform and CI/CD pipelines.Background in designing secure code execution environments and implementing sandboxing techniques.Interest in or experience with gamification, competitive programming, or developer-centric platforms.

Join our dynamic team at gumloop as a Full Stack Software Engineer, where you will play a pivotal role in shaping our product and impact.In this role, you will:Develop and launch comprehensive features from design through to deployment and management in a production environment.Rapidly iterate based on user feedback, ensuring swift enhancements and same-day releases.Collaborate closely with our founders daily to maintain clear priorities and eliminate obstacles.Create sleek user interfaces alongside robust backend systems that can handle increasing traffic.

About ChalkChalk is at the forefront of developing a cutting-edge data platform that revolutionizes machine learning applications. We are committed to dismantling the traditional barriers of complexity, latency, and scalability that have limited ML capabilities. By merging high-performance Rust technology with user-friendly tools, we empower developers and organizations alike. Our platform is trusted by leading companies to combat fraudulent credit card transactions, validate identities, and optimize clean energy utilization. Recently, we secured a $50 million Series A funding round, spearheaded by Felicis.About the RoleWe are actively seeking passionate Full Stack Software Engineers to join our dynamic team. This is a unique opportunity to contribute significantly as an early employee within a rapidly growing startup. You will have the autonomy to tackle complex engineering challenges while taking full ownership of your work.Our ideal candidates are versatile engineers who excel at addressing business challenges across all layers of the software stack. At Chalk, we prioritize building robust data processing systems that perform efficiently at scale, all while focusing on an exceptional developer experience.We require engineers capable of crafting outstanding user experiences across both CLI and web interfaces, alongside a strong understanding of a codebase enriched with concepts from compilers, query planners, and distributed systems.Our team works in the office five days a week, with flexibility for unavoidable conflicts. Please note, this is not a hybrid position.What You Will DoCollaborate directly with Chalk’s co-founders to bring our first iteration to production.Develop applications using TypeScript, Python, Go, and React.Contribute to a codebase that incorporates advanced ideas from various fields.

Join Binti as a Senior Full Stack Software Engineer and play a crucial role in developing innovative software solutions that enhance our mission to streamline the adoption process. You will be responsible for designing, developing, and maintaining our web applications, ensuring optimal performance and user experience.In this position, you will collaborate with cross-functional teams, participate in all phases of the software development lifecycle, and mentor junior developers. If you are passionate about building scalable applications and are eager to solve complex problems, we want to hear from you!

About AnonAnon is revolutionizing the way enterprises can deploy authenticated AI agents to enhance their crucial data workflows.We are tackling one of the most significant challenges in enterprise automation: extracting and transforming data that is hindered by authentication barriers. Our innovative platform empowers AI agents to securely connect with any web-based system, extract unstructured data, and present it through state-of-the-art APIs.Since our inception in 2023, we have partnered with industry leaders to convert lengthy manual processes into streamlined automated workflows that can be completed in mere minutes. With $14M raised from notable investors such as Union Square Ventures, Forerunner Ventures, Okta Ventures, and Abstract Ventures, we are on a path of rapid growth.Our vision is clear: we believe every business system should be accessible to AI agents. If you are passionate about developing infrastructure that will support the next wave of AI applications, we invite you to join our dynamic team of 12 in San Francisco.www.anon.com/careersAbout the RoleAs a Full Stack Engineer at Anon, you will play a pivotal role in creating both the user interfaces and the underlying infrastructure that drive our authenticated AI agents for enterprise workflows. Your responsibilities will include developing React-based dashboards for agent monitoring, crafting embeddable authentication components, and constructing the APIs and data pipelines that convert unstructured web data into accurate and reliable outputs. This is a chance to take ownership of features from inception to deployment while engaging at the intersection of AI and enterprise software.Key ResponsibilitiesCore Platform DevelopmentCreate robust AI agents capable of navigating web interfaces, managing dynamic content, and extracting data from systems lacking APIs.Develop front-end interfaces for agent creation, monitoring dashboards, and real-time execution visualization.Take full ownership of features from database to UI, encompassing API design and user experience.Design embeddable JavaScript components and authentication modals to facilitate customer integrations.Build and maintain scalable APIs, data pipelines, and authentication workflows across various platforms.Develop integrations with third-party services and ensure comprehensive test suites are maintained.Collaborate & LearnPartner with senior engineers to gain insights into system architecture and best practices.Engage in code reviews and share knowledge with your peers, fostering a culture of continuous improvement.

Join Clipbook in reshaping how leaders engage with the world!As the frontrunner in vertical AI for the $100 billion communications, public relations, and public affairs industries, we are on a remarkable journey.Founded in 2023, we've rapidly established ourselves as the largest AI company in this segment, backed by prominent investors like Mark Cuban, who co-led our seed funding round.Learn more about our achievements:Achieved our first million in ARR through bootstrapping and reached profitability before securing a $3.3 million seed round this year.Currently experiencing over 10% month-over-month growth, on track to triple our ARR this year.Partnering with over 200 clients, including the Boston Consulting Group, Weber Shandwick, the Gates Foundation, and various government agencies nationwide.Planning to raise our Series A in early 2026.Your Role:Architect & Build: Make key architectural decisions and implement solutions across the stack (NextJS, TypeScript, React, Python, Node, SQL/NoSQL). You will bring concepts to life, deploying solutions that delight our clients.Collaborate with Customers: Engage directly with users to understand their challenges, iterate swiftly, and provide impactful solutions.Address Diverse Engineering Challenges: Work spans AI, data engineering, and backend development, providing opportunities to tackle projects that align with your strengths. Examples include:AI/ML Integration: Implement LLMs and classical ML models for real-world applications with high uptime. Utilize cutting-edge generative AI tools and frameworks.Data Engineering: Develop pipelines and infrastructure for managing large, multi-modal datasets.Shape Clipbook’s Engineering Culture: As an early team member, you will set engineering standards, mentor future hires, and drive best practices in code quality, testing, and deployment while shaping the team’s culture.

About ShepherdAt Shepherd, we are pioneering a technology-driven approach to transforming commercial Property & Casualty insurance, specifically within high-hazard industries. Our objective is to streamline risk management for the builders and operators who are shaping the physical world, ensuring that progress is safeguarded from the initial concept phase through construction and into long-term operations.We are developing the most advanced and efficient commercial risk platform, where our underwriting expertise integrates seamlessly with data and automation to provide:Accelerated decision-making processesMore intelligent and precise pricing modelsEnhanced risk outcomesWith Shepherd, we are redefining the interplay between safety, speed, and quality, allowing these elements to work in synergy rather than at odds. Our aim is not merely to modernize insurance products, but to create the risk infrastructure necessary for the next generation of financial services, where technology, underwriting, and partnerships coalesce to support vital industries and the progress they enable.

Join Promise as a Full-Stack Software Engineer, where you will play a crucial role in developing innovative software solutions. In this dynamic position, you will collaborate with cross-functional teams to design, implement, and optimize full-stack applications. Your expertise will be vital in enhancing user experiences and driving technical excellence across our projects.

Join the Revolution in Enterprise AutomationAt Fluency, we are at the forefront of creating the autonomous Enterprise. We are searching for an exceptional full-stack software engineer to help us redefine the way enterprises operate and interact with data. Step into the future with us!Your role will involve tackling challenges that currently have no predefined solutions. You will handle terabytes of workflow data in real-time for our enterprise clients, developing systems that map relationships, contextualize, and analyze work patterns across entire organizations. Picture the human genome project, but for enterprise workflows!As a key team member, you will create innovative data structures and pipelines capable of processing billions of events daily. You will also contribute to groundbreaking research by authoring whitepapers on unprecedented methodologies. This is an opportunity to operate at the cutting edge of data science, where the existing playbook is still being written.With backing from top-tier VCs like Accel, we are poised for significant growth with enterprises across the globe.You will collaborate closely with our founders and engineering team to tackle unprecedented technical challenges: real-time data processing at massive scale, developing a universal taxonomy for work across diverse industries, and constructing systems that manage the most complex enterprise data environments on the planet.

At EndeavorAI, we are at the forefront of real-world enterprise AI technology.Our innovative software serves as the distribution layer for advanced AI models that aim to reshape the world.We believe that AI has the potential to revolutionize various sectors, including legal, healthcare, and finance. However, our primary focus is on developing AI solutions that enhance the physical infrastructure necessary for accelerating AI advancements.We target the building materials market, which currently faces challenges due to manual quoting, order entry, and pricing. These inefficiencies not only lead to lost revenue from missed quotes and incorrect pricing but also require significant manpower to manage. Our AI-driven solution addresses these issues effectively, resulting in a product that is gaining rapid traction in the market. Once we establish our dominance in this sector, we plan to expand to other industries.While laboratories focus on creating future AI models, we specialize in the last-mile delivery of these technologies. Our responsibility is to model complex environments, ensure reliable outcomes, and connect advanced models with outdated operational ecosystems.