Staff AI Engineer at SpotOn | San Francisco

Join David AI as a Staff Product EngineerAt David AI, we are pioneering the field of audio data research, applying a rigorous R&D methodology to create robust datasets that empower AI models. Our vision is to integrate AI seamlessly into daily life, with audio serving as the key medium. As the demand for high-quality training data grows, we position ourselves as the solution.Founded in 2024 by a team of seasoned engineers from Scale AI, we quickly garnered the trust of leading FAANG companies and AI labs. Our recent $50M Series B funding round was led by prestigious investors including Meritech and NVIDIA, underscoring our potential in the audio AI landscape.We pride ourselves on our dynamic, collaborative, and ambitious team, and we are on the lookout for exceptional talent in research, engineering, product, and operations to help us redefine audio AI.About Our Engineering TeamOur engineering team is at the forefront of innovation, building the infrastructure, platforms, and models that convert raw audio into valuable data for top-tier AI labs and enterprises. We are a close-knit group of product engineers, infrastructure experts, and machine learning specialists who are dedicated to establishing the first-ever audio data research organization.We operate with agility, taking ownership of our projects from inception to deployment, delivering production-ready solutions on a daily basis. Our engineers design real-time pipelines that manage vast amounts of speech data while deploying advanced generative audio models.Your RoleAs a Staff Product Engineer, you will spearhead our Product Engineering team, developing state-of-the-art products that enable our clients to harness audio data effectively for model training. You will collaborate with researchers to continually refine our data collection methodologies.Your ResponsibilitiesLead the development of full-stack features, rapidly iterating to deliver daily innovations to our users.Construct scalable systems that process terabytes of audio data and extract actionable insights.Deploy and assess LLM- and DSP-based solutions to enhance customer understanding of their data.Facilitate research iterations and deployment interfaces for data collection in collaboration with researchers and operations.

About David AIDavid AI is pioneering the audio data research landscape, applying a rigorous R&D approach to dataset development akin to the methodologies used in AI labs for model creation. Our goal is to integrate AI seamlessly into real-world applications, with audio serving as the perfect entry point due to its inherent versatility and human connection. As the audio AI field progresses, the demand for high-quality training data becomes critical, and that's where David AI excels.Founded in 2024 by a team of experienced engineers and operators from Scale AI, David AI has quickly gained traction, serving prominent clients among FAANG companies and AI research labs. Recently, we secured a $50M Series B funding round from esteemed investors including Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, and First Round Capital.Our team embodies intelligence, humility, ambition, and a close-knit ethos. We are on the lookout for exceptional talent in research, engineering, product, and operations to join us in advancing the frontiers of audio AI.About Our Engineering TeamAt David AI, our engineering team is responsible for constructing the pipelines, platforms, and models that convert raw audio into valuable data for top AI labs and enterprises. We pride ourselves on our collaborative environment, comprising product engineers, infrastructure specialists, and machine learning experts dedicated to leading the charge in audio data research.We operate at a fast pace, taking ownership of our projects from conception through to production. Our team develops real-time processing pipelines capable of managing terabytes of audio data daily while deploying innovative generative audio models.About This RoleAs a Product Engineer at David AI, you will design and implement state-of-the-art tools that enable our users to leverage audio data effectively for training their AI models. You will collaborate closely with researchers to continuously refine our data collection methodologies.Your ResponsibilitiesDeliver full-stack features that will be utilized by thousands of users on a daily basis.Develop scalable systems that create essential data processing pipelines, extracting actionable insights from terabytes of audio data each day.Construct, deploy, and assess LLM and DSP-based solutions to enhance our clients' comprehension of intricate features within our datasets.Rapidly iterate on research hypotheses by collaborating with researchers and the operations team to deploy enhancements efficiently.

David AI builds high-quality audio datasets for AI technologies, working with clients that include major FAANG companies and leading AI labs. Founded in 2024 by former Scale AI engineers and operators, the company recently secured $50 million in Series B funding led by Meritech and NVIDIA. The team values sharp thinking, humility, and ambition, and is expanding across several functions. The Executive Assistant will join the Office of the CEO in San Francisco, working closely with CEO Tomer and supporting the company’s ongoing growth. This position involves direct collaboration with customers, internal teams, and investors, offering a front-row seat to high-level business decisions and daily operations. What you will do Organize and execute team events, offsites, and in-office gatherings. Manage communications for the CEO, determining when to escalate issues or address them independently. Support ad hoc projects spanning recruiting, legal, finance, and business operations. Oversee complex calendar management, prioritization, and scheduling for both internal and external stakeholders. Plan and coordinate travel logistics for team members and prospective candidates. Manage daily office operations, including vendor relationships and supply management. Role overview This role focuses on keeping office operations running smoothly while supporting the CEO and internal teams. Expect involvement in cross-functional projects and a variety of tasks that help maintain organized, efficient processes as David AI scales.

About David AIDavid AI is a pioneering audio data research company that applies a rigorous R&D framework to data development, akin to that of leading AI labs. Our mission is to seamlessly integrate AI into everyday life, recognizing that audio serves as a natural interface. As the demand for advanced audio AI grows, the need for high-quality training data becomes critical—this is where David AI excels.Founded in 2024 by a talented team of former Scale AI engineers and operators, we have rapidly secured partnerships with major FAANG companies and AI laboratories. Recently, we raised $50M in Series B funding from prestigious investors like Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital, and others.Our team is composed of sharp, humble, and ambitious individuals who collaborate closely. We are eager to welcome the brightest minds in research, engineering, product, and operations to join us in advancing the frontiers of audio AI.About our Data Operations TeamThe Data Operations team is the powerhouse behind David AI's Data Factory, converting raw audio into exceptional training datasets for top AI labs. Our goal is to develop and manage new data pipelines on a grand scale.This entails starting with a model capability we aim to unlock, experimenting with various data shapes and collection strategies, and validating these approaches with researchers. Once we identify a successful method, we industrialize it by creating reliable, efficient, and high-quality audio processing pipelines. Our team thrives in ambiguous environments, adept at both prototyping innovative workflows and managing extensive production systems.About This RoleAs the Data Product Operations Lead, you will be instrumental in propelling the Data Factory at David AI. Your responsibilities will include designing and scaling pipelines that transform raw audio into valuable datasets for leading AI labs. You will take full ownership of data products from initial prototypes to large-scale implementations, actively building workflows, validating them with researchers, and ensuring their reliability at production levels.In This Role, You WillOversee the complete success of a data pipeline, from initial experiments to scaling up production systems that produce high-quality audio data in significant volumes.Design and operate pipelines that maintain reliability, quality, and efficiency while processing an extensive volume of audio data.

Join Our Innovative Team at David AIDavid AI is pioneering the audio data research landscape. We adopt a rigorous R&D methodology for developing datasets that parallels the standards upheld by leading AI laboratories. Our vision is to seamlessly integrate AI into everyday experiences, with audio serving as the perfect conduit. The evolution of audio AI is rapidly unfolding, yet the availability of high-quality training data remains a critical challenge. This is where David AI steps in.Founded in 2024 by a talented group of former engineers and operators from Scale AI, we have quickly become a trusted partner to numerous FAANG companies and AI research labs. Recently, we secured $50 million in a Series B funding round with notable investors, including Meritech, NVIDIA, and Alt Capital.Our culture is built on sharp intellect, humility, ambition, and a close-knit community. We invite exceptional minds in research, engineering, product development, and operations to join us as we advance the field of audio AI.Research Team OverviewAt David AI, we are convinced that superior model capabilities stem from high-quality, differentiated data. Our research team is dedicated to conducting ambitious, long-term studies into audio technology while collaborating with both internal and external partners to implement cutting-edge research insights into practical applications.Your Role as a Founding Audio AI Research EngineerIn this position, you will establish the research framework that influences how premier AI labs develop their audio models. You will have access to a top-tier team of human AI trainers, robust computing resources, and the autonomy to shape your research agenda.Key ResponsibilitiesCreate and implement comprehensive evaluation frameworks for assessing audio AI capabilities in areas such as speech, emotion detection, conversational dynamics, and acoustic patterns.Investigate and prototype innovative methodologies for audio quality assessment, automated labeling, and optimizing data collection processes.Design focused data collection pipelines aimed at capturing novel, high-value audio capabilities.Develop automated systems for ongoing classifier enhancement and prompt engineering evaluation.Assess cutting-edge models and formulate actionable research strategies.Publish your findings in prestigious conferences.

About David AIDavid AI is pioneering the field of audio data research, applying rigorous R&D methodologies to create high-quality datasets essential for advancing AI technologies. Our mission is to seamlessly integrate AI into everyday life, leveraging the versatility and accessibility of audio as a medium. With the rapid evolution in audio AI and the increasing demand for effective use cases, we recognize that high-quality training data remains a critical challenge. This is where David AI steps in.Founded in 2024 by a team of former Scale AI engineers and industry operators, we have quickly established a strong client base consisting of major FAANG companies and AI research labs. Recently, we secured a $50 million Series B funding round from top-tier investors including Meritech, NVIDIA, and Amplify Partners, among others.Our team is composed of driven, humble, and collaborative individuals. We are on the lookout for exceptional minds in research, engineering, product development, and operations to join us in pushing the boundaries of audio AI.About Our Engineering TeamAt David AI, our engineers are responsible for constructing the pipelines, platforms, and models that convert raw audio into valuable data insights for leading AI labs and enterprises. We pride ourselves on our tight-knit team of product engineers, infrastructure specialists, and machine learning professionals dedicated to building the world's first audio data research company.We thrive in a fast-paced environment, taking ownership of our work and deploying solutions to production on a daily basis. Our team designs real-time pipelines capable of processing terabytes of audio data and implements state-of-the-art generative audio models.Role OverviewAs a Senior Software Engineer, Platform at David AI, you will collaborate across various product surfaces to architect clean APIs, develop scalable services, and ensure our systems maintain optimal performance while handling petabytes of audio data.Key ResponsibilitiesDesign, build, and maintain production-grade backend services that drive functionality from data collection to customer-facing insights.Take ownership of the architecture and performance of distributed systems that process, transform, and serve audio data at scale.Define and refine internal APIs and service boundaries to accommodate an expanding array of machine learning and product features.Develop resilient, observable, and easily debuggable systems with strong performance characteristics.

fractional-ai is looking for a Senior or Staff Software Engineer to join the San Francisco office. This position centers on building advanced AI solutions with a team that values both technical depth and collaboration. Role overview This role focuses on designing and developing AI-driven systems. The work involves solving technical challenges and contributing to projects that push the boundaries of what AI can achieve. Collaboration with other engineers and stakeholders is a key part of daily responsibilities. Who will thrive Experienced engineers with a strong background in software development Those who enjoy working on complex technical problems Individuals who value teamwork and open communication Location This position is based in the San Francisco office.

Role Overview Airwallex is hiring a Staff AI Engineer in San Francisco. This role focuses on building and improving AI-driven solutions for financial operations. Airwallex’s platform supports more than 200,000 businesses worldwide, among them names like Brex and Qantas, by automating and simplifying financial workflows. About Airwallex Founded on a global vision, Airwallex operates from 26 offices and employs over 2,000 people. The company is valued at $8 billion and has the backing of investors such as Visa and Sequoia. Airwallex’s team is known for its diversity and energy, working together to advance the future of payments and finance.

Join Saris AI as a Staff Backend Software Engineer, where you will play a pivotal role in developing innovative solutions that harness the power of artificial intelligence. In this dynamic position, you will collaborate with cross-functional teams, design scalable systems, and contribute to the overall architecture of our backend solutions.

Join a pioneering team of former Google engineers who have developed ground-breaking defensive technologies, such as Safe Browsing and reCAPTCHA. We are on a mission to confront an urgent challenge: combating the rising tide of adversarial AI attacks that threaten organizations globally.Operating in stealth mode, we are targeting a lucrative $5B+ market that is primed for innovation. Conventional detection methodologies are proving inadequate against the speed and sophistication of AI-driven assaults. Current adversaries are leveraging AI to engineer tailored, high-evasion attacks, leaving traditional systems vulnerable.Your Role:You will design a network of AI agents that are rapid, cost-effective, and precise, collaborating to identify and neutralize emerging threats. Your work will dive deep into real-time threat data, continuously evolving your agents in a fast-paced environment. These agents will function under an orchestration layer that fosters quick adaptation and learning.The Excitement of the ChallengeRapidly Evolving Models: The landscape changes daily; solutions that worked yesterday may be outdated today.Intelligent Adversaries: We are engaged in a real-time arms race against cunning, AI-enhanced attackers crafting sophisticated payloads.No Existing Playbook: We are forging new detection paradigms as swiftly as threats evolve. This high-stakes work places you in the heart of the action from day one.If you thrive on solving challenging problems with rapid feedback, this is your opportunity.Why We Are Positioned to SucceedExpansive Market: The market is vast at $5B and expanding quickly, while established players struggle to adapt.Proven Track Record: Our team has previously developed the foundational technology for Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our time at Google.Experienced Team: This is our third endeavor in creating a category-defining security enterprise, and we know how to scale our technology and our organization effectively.Deeply Integrated AI and Security: We embed AI from the outset rather than layering it on top.Top Talent: We hire only the highest achievers; many on our team were in the top 1% of engineers at Google. If you excelled in your previous role, you will fit right in.Agility: We prioritize speed and efficiency in everything we do.

About LightfieldLightfield is a cutting-edge AI-driven CRM that seamlessly integrates with your email, calendar, and meetings. Our platform captures every interaction, transforming it into organized context—encompassing accounts, tasks, follow-ups, and insights—ensuring no detail is overlooked.We are redefining CRM by focusing on fundamental principles. Rather than imposing rigid systems, Lightfield adapts to the natural workflows of companies, automating processes and revealing insights that propel growth. We're crafting the CRM platform we've always desired: swift, intelligent, and truly beneficial.Our team, backed by prominent investors such as Greylock, Lightspeed, and Coatue, has previously created Tome, a generative AI presentation tool utilized by over 25 million users. Many of us have also contributed to renowned products at Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are seeking a highly motivated and innovative engineer who is passionate about harnessing LLMs to create exceptional product experiences. Join us at the forefront of AI product innovation, where you will develop industry-leading solutions to address critical customer challenges.As an engineer at Lightfield, you will take ownership of projects from conception to execution, collaborating with cross-functional teams throughout the process. You will also help shape our company's product and technical vision, learning from each project as we continue to expand.What You Will DoPartner with product leaders to pinpoint customer challenges, define requirements, and implement LLM-powered solutions.Utilize LLMs as reasoning engines to develop domain-specific AI assistants.Craft and refine prompts, employing techniques such as few-shot learning and chain-of-thought.Design and optimize end-to-end RAG pipelines and agent architectures to effectively utilize both public and proprietary data.Enhance the overall quality of AI agents (e.g. relevance, fidelity, latency) through empirical evaluation and iterative improvements.Create and improve systems and tools that facilitate high-velocity experimentation (e.g. LLM-powered automated evaluation) and personalized product experiences.Stay updated with the latest AI research and integrate cutting-edge techniques into our work.Contribute to defining technical direction and best practices for AI application development at Lightfield.Play a role in building a world-class engineering culture.

About Us:At ResiQuant, we are dedicated to addressing a critical challenge in disaster resilience: the availability of accurate, standardized, and dynamic property data. As climate change and natural disasters such as earthquakes, hurricanes, and wildfires increasingly affect our world, informed risk decisions are often made with incomplete or erroneous data.Our mission is to equip insurers, financial institutions, and asset managers with AI-driven systems that integrate structural engineering knowledge. These systems help to bridge crucial data gaps, providing precise, actionable insights into buildings for improved decision-making.Founded by Stanford PhDs, we are devoted to utilizing state-of-the-art AI technologies to safeguard communities and businesses against the impacts of disasters. At ResiQuant, we envision a future where every organization has access to premier property risk intelligence, fostering resilience and protecting what matters most.The RoleIn this position, you will design and manage the backend systems that drive AI-powered property risk intelligence at enterprise scale. You will be responsible for creating APIs, data pipelines, and model-integrated services that provide reliable, real-time insights trusted by insurers for billion-dollar underwriting decisions. As an integral member of our early team, you will collaborate closely with the founders to establish the technical foundation of the platform and ensure that cutting-edge AI is applied safely and effectively within the insurance sector.What You’ll DoTake ownership of backend features from design through to deployment.Design scalable services and integrations tailored for Fortune 500 insurers.Construct pipelines to ingest, validate, and transform extensive property datasets.Develop and enhance AI-assisted backend functionalities (API design, retrieval-backed features, monitoring).Ensure observability, reliability, and performance across all systems.Work collaboratively with founders, engineers, and customers to rapidly iterate on impactful features.Who You Are0–5 years of engineering experience (1–3 years preferred). Outstanding new graduates are encouraged to apply.Bachelor’s degree in Computer Science or a related field.Proficient in Python, databases, and cloud platforms (AWS/GCP).Experience in delivering AI-assisted or data-intensive services (e.g., model APIs, retrieval pipelines).Strong understanding of backend engineering principles and practices.

Rhythms develops AI technologies that help organizations operate with greater autonomy. The founding team previously built Ally.io, acquired by Microsoft, and the company is supported by investors such as GreenOaks, Madrona, and Accel. Rhythms has earned recognition from GeekWire and is listed among the top AI innovators for 2025. Its platform is already used by Fortune 100 firms, healthcare systems, and logistics organizations worldwide. The core platform uses a multi-agent AI architecture to automate business processes, monitor progress across systems, identify risks early, and reduce manual work. Integrations with Slack, Teams, Jira, and Linear help keep operations connected and efficient. Role overview This AI Product Engineer role is based in San Francisco and offers broad responsibility across multi-agent systems, large language model (LLM) orchestration, and the customer-facing product. The work is hands-on, with daily feature releases to production, direct customer interaction, and rapid feedback cycles. The position involves identifying problems, designing and implementing solutions, and taking ownership of the results. What you will do Develop agent systems that autonomously manage business operations, including OKR execution, MBR/WBR cadences, and Auto-Pilot workflows, with a focus on enterprise reliability. Oversee features from discovery and design through implementation and measurement. Design multi-agent systems that balance performance and reliability, making informed decisions on models, orchestration, and evaluation methods. Create chat-native product experiences that blend strong product sense with thoughtful systems design. Advance the AI stack by using tools such as Claude Code and Cursor, shipping new AI features weekly, and adapting as models evolve. Requirements 2–5 years of experience building production software, with hands-on work involving LLMs, agents, or AI-native products beyond prototypes or demos. Strong Python skills and familiarity with React/Next.js, along with experience in distributed systems. Customer-focused approach, prioritizing user impact over technical architecture alone. Track record of delivering agent systems that perform reliably in production settings.

About Onos HealthAt Onos Health, we are on a mission to revolutionize healthcare by ensuring that every dollar spent is directed towards the highest quality of care. A staggering 30% of U.S. healthcare expenditure is squandered, primarily due to inefficient care and administrative inefficiencies stemming from the disconnect between providers and payers.We are tackling this problem head-on by constructing the largest AI-driven healthcare data platform. Our innovative models empower payers to make rapid and precise decisions regarding their patient populations. By directing members towards appropriate care, Onos is transforming healthcare funding, ensuring it drives quality outcomes while enhancing affordability.Having recently secured $6M in Seed funding from prestigious investors, Onos is currently collaborating with some of the largest health plans in the nation, successfully signing our first national plan shortly after our launch.Join us in defining a new category in healthcare and contribute to a brighter future for care delivery.

About the RoleJoin Saris-AI, an innovative applied AI startup based in San Francisco and Montreal, where we are revolutionizing the banking industry. Our mission is to address a $100 billion annual challenge, growing rapidly each quarter, as we explore the potential of advanced multi-turn AI systems.We focus on automation challenges that require extensive contextual reasoning, tool integration with existing systems, and adherence to compliance requirements—problems that lack straightforward solutions.Our successful deployment of real AI agents managing customer workflows has led to a burgeoning client base, and we are expanding quickly. We seek highly skilled technical professionals who aspire to make a significant impact from the outset.Core Engineering TeamWe are in search of a passionate Software Developer who excels in dynamic and ambiguous settings. You should have experience guiding products from the initial version to large-scale implementation, and a penchant for crafting sustainable, elegant systems.Your Key ResponsibilitiesConceive, develop, test, deploy, maintain, and enhance AI-driven software solutions tailored for the fintech sector.Manage project timelines effectively, prioritizing tasks to deliver exceptional features.Contribute to product and business strategies as a key player, influencing both technical frameworks and overarching goals.Encourage and uphold best practices, including code reviews and testing.Candidate ProfileProven experience in backend/fullstack engineering, particularly within SaaS projects with significant impact.Extensive knowledge of Python (Django, Flask, FastAPI), TypeScript (React), Docker, and cloud platforms (AWS/GCP).Solid track record in designing, constructing, and optimizing distributed systems.Strong foundation in both relational and non-relational databases (PostgreSQL, Redis).Expertise in API design (REST, GraphQL) and deployment practices.Preferred QualificationsExperience building intricate workflow orchestration systems.Familiarity with cloud infrastructure.Background in creating integrations or data pipelines.A passion for mentoring and developing team capabilities.

About UsOur mission is to transform language learning.Language learning can profoundly impact lives by connecting individuals to new cultures, careers, and communities. With two billion people worldwide striving to learn a language, the most effective method (one-on-one tutoring) remains hard to access at scale and has not seen significant innovation in decades. Speak is pioneering a human-level, AI-driven tutor that fits in your pocket: a conversational-first platform that enables learners to speak, receive immediate feedback, and advance through thoughtfully crafted lessons. The outcome is a comprehensive journey from novice to proficient speaker across various languages.Since our launch in South Korea in 2019, Speak has ascended to the top of the language learning app market, catering to learners across numerous regions and supporting over 15 languages. Backed by more than $150 million in venture funding from notable investors like OpenAI, Accel, Founders Fund, and Khosla Ventures, we maintain a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.About This RoleIn the role of AI Product Engineer at Speak, you will be instrumental in shaping the future of language learning and establishing the most efficient path to fluency. Your key responsibility will be to develop cutting-edge product experiences powered by Language Learning Models (LLMs) and deliver these innovations to millions of users.Your work will encompass the entire stack and more, including model evaluation, prompt testing, and the development and enhancement of various product features such as conversational onboarding, lesson experiences, grammatical assessment, and personalized learning journeys.We constantly strive to expand the capabilities of LLMs to provide an extraordinary and unmatched language learning experience for users in over 30 countries worldwide.Your ResponsibilitiesDesigning and launching LLM-powered language learning products across the full stack, while improving the quality and efficacy of existing AI-driven features at Speak.Collaborating cross-functionally with Engineering teams, Applied ML, Product, Design, and Content.Enhancing our process for building LLM applications, including best practices for prompting, experimentation/evaluation, LLM operations, and performance measurement.Scaling current product features to serve a broader user base and additional languages.

Join the Okta FamilyAt Okta, we are redefining identity management for the digital world. Our mission is to empower everyone to securely access any technology, anywhere, on any device or application. With our versatile Okta Platform and Auth0 Platform, we provide unparalleled security and automation, making identity the cornerstone of business security and expansion.We value diverse perspectives and experiences; we seek lifelong learners who can contribute to our mission with their unique backgrounds. Be a part of our journey to build an identity-centric future.The Global AI Engineering TeamBecome part of a unified global AI engineering team that spans across the US and India. Engage in pioneering applied AI projects while laying the foundational elements that facilitate secure, scalable AI at an enterprise level. If your passion lies in creating AI that is smarter, faster, and perpetually secure, this is your chance to make a significant impact.The Staff Software Engineer OpportunityWe are looking for a Staff Software Engineer to join our global AI Engineering team, focused on building the future of secure, enterprise-grade AI Agents. You will be instrumental in designing and developing user-friendly experiences and comprehensive AI solutions that drive them. In this position, you will help shape the platforms and services that support Okta’s internal transformation, contributing to the infrastructure and applications that bring intelligent automation and GenAI to fruition.

Superhuman supports a hybrid work model in San Francisco, balancing focused solo work with collaborative sessions. This approach encourages trust, sparks new ideas, and strengthens the team. About Superhuman Superhuman builds an AI productivity platform designed to help people work at their best. The platform connects with over a million tools and websites, offering features such as Grammarly’s writing support, Coda’s collaborative spaces, and Go, an intelligent AI assistant. Since 2009, Superhuman has supported more than 40 million users, 50,000 organizations, and 3,000 educational institutions worldwide. Learn more at superhuman.com and review our company values. Role Overview: Staff Product Designer – Go Core The Staff Product Designer on the Core team shapes how users interact with Superhuman’s AI agents. This role guides the user journey from initial intent to final action, ensuring a seamless and effective experience across all Superhuman products. The position sets standards for interaction models and the quality of the Go experience, directly impacting how users engage with the platform each day. What You Will Do Design Ownership: Lead design for Go, focusing on how users express intent, collaborate with agents, and move through workflows across multiple platforms. User-Centric Approach: Use research and feedback to refine features and improve user satisfaction. Collaborative Development: Partner with engineers and product managers to bring your designs to life. Continuous Improvement: Keep up with industry trends and apply best practices to enhance the user experience. Location This role is based in San Francisco and follows a hybrid work model.

Join Oscar as a Staff Product Manager on our AI team! We are pioneering the health insurance space with a comprehensive technology platform focused on member-centric solutions. Founded in 2012, Oscar aims to redefine health insurance by embodying the role of a trusted family doctor. Our mission is to create a seamless experience for our members, leveraging technology to improve health outcomes. About the Role: As a Staff Product Manager, you will be a key individual contributor, tasked with spearheading intricate technical product initiatives that carry strategic significance throughout the organization. Your role will involve identifying and addressing critical business challenges through deep user understanding, keen product insight, and a solid grasp of Oscar’s operational framework. Collaborating closely with engineering, data, and design teams, you will lead complex projects and align with senior business leaders on objectives and results. You will also mentor peers and foster improvements in product practices, enhancing quality and impact across the board. This position will have a strong emphasis on AI research and development, working alongside a dedicated team of engineers and data scientists to prototype innovative concepts and workflows for Oscar. You will report directly to the Senior Director, AI.