Senior Product Designer at Pano AI | San Francisco

Pano AISan Francisco, California

Hybrid Full-time $89K/yr - $89K/yr

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Experience Level

Senior

Qualifications

QualificationsProven experience in product design with a strong portfolio demonstrating innovative design solutions. Expertise in UX/UI design principles and methodologies. Proficiency in design tools such as Sketch, Adobe Creative Suite, and Figma. Strong understanding of user-centered design processes and methodologies. Ability to collaborate effectively with cross-functional teams, including engineering and product management. Excellent communication skills, capable of articulating design concepts and rationale clearly. Experience with prototyping and user testing to validate design decisions. A passion for addressing real-world challenges, particularly in the field of environmental technology.

About the job

Help Build Tools That Detect Wildfires Early

About Pano AI

Pano AI develops technology to help fire professionals spot and respond to wildfires faster. Headquartered in San Francisco, the team now includes more than 150 people working in a hybrid-remote model. The company’s platform combines advanced hardware, software, and artificial intelligence, all accessible through a web-based interface. Fire authorities use Pano’s network of 360-degree, ultra-high-definition cameras, along with satellite and other data sources, to monitor specific geographic areas and receive real-time intelligence about emerging threats.

The Challenge

Wildfires are growing more intense and unpredictable as climate change drives drier conditions and stronger winds. Most fires are still detected by bystanders and reported through 911, which can mean hours of delay before first responders are dispatched. Pano AI aims to give fire authorities a faster, more reliable way to detect and confirm new ignitions, so small incidents are stopped before they become disasters.

Recognition

Named one of the TIME 100 Most Influential Companies of 2025
Selected by MIT Technology Review as a top 15 climate tech company to watch in 2024
Recognized by Fast Company as a Top 10 most innovative company in AI of 2023
Featured in the Wall Street Journal and Bloomberg

Pano AI continues to grow as a leader in early wildfire detection and intelligence, supporting first responders with timely information and better coordination.

About Pano AI

Pano AI is an innovative leader in the field of wildfire detection and intelligence. Our mission is to empower fire professionals with the necessary tools and real-time data to respond to wildfires effectively and safely. With a strong focus on leveraging advanced technologies, we are dedicated to making a significant impact in the fight against the growing wildfire crisis.

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David AI

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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.

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Full-time|On-site|San Francisco

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Data Product Operations Lead at David AI | San Francisco

David AI

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Feb 26, 2025

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Senior Software Engineer, Platform

David AI

Full-time|On-site|San Francisco

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Aegis AI

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Lightfield

Full-time|On-site|HQ: San Francisco

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Backend Product Engineer at Resiquant AI | San Francisco

Amari AI

Full-time|On-site|San Francisco

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.

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AI Product Engineer at Rhythms | San Francisco

Rhythms

Full-time|On-site|San Francisco

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AI Product Engineer at Speak | San Francisco

Speak

Full-time|On-site|San Francisco

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.

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Forward Deployed Engineer at Simple AI | San Francisco

Simple AI

Full-time|On-site|San Francisco

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Oct 8, 2025

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Software Engineer, Product at Bretton AI | San Francisco

Bretton AI

Full-time|On-site|San Francisco, CA

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Jan 22, 2026

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Founding Product Manager at Liquid AI | San Francisco

Liquid AI

Full-time|On-site|San Francisco

About Liquid AIBorn from the innovative environment of MIT CSAIL, Liquid AI develops cutting-edge general-purpose AI systems that operate seamlessly across various deployment environments—from data center accelerators to on-device hardware. Our solutions prioritize low latency, minimal memory consumption, privacy, and reliability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are eager to welcome exceptional talent to our dynamic team.The OpportunityJoin us in establishing the product function that will transform Liquid AI's technological advancements into scalable, repeatable solutions for enterprise clients. As a key member of our Product team, you will work closely with technical leaders to define, package, and launch AI solutions that meet market needs. This role requires daily collaboration with ML engineers, GTM leaders, and enterprise customers to understand the value of our technology and effectively deliver it. This position offers significant ownership, allowing you to treat your solution area like your own startup within our organization.What We're Looking ForWe are seeking an individual who embodies the following qualities:Customer Obsession: Prioritizes understanding customer needs through direct feedback rather than assumptions.Self-Direction: Takes initiative to dive deep into problems without prompting, and is comfortable navigating uncertainty to propose effective solutions.Technical Fluency: Engages confidently with ML engineers and researchers, understanding the complexities of deploying AI systems in real-world applications.Founder Mentality: Treats their solution area as a startup, owning outcomes across various functions, from technical architecture to go-to-market strategies.The WorkOversee one or more go-to-market ready solutions from inception to scalable customer deployment.Analyze customer interactions to extract insights and identify productization opportunities.Collaborate with ML and inference teams to develop tools that streamline implementation.Define Ideal Customer Profiles (ICPs), pricing strategies, and packaging for scalable solutions.Partner with GTM teams to enhance outbound sales efforts around productized offerings.

Apr 9, 2026

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Innovative AI Product Engineer at teameigen | San Francisco

teameigen

Full-time|On-site|San Francisco

teameigen is developing new ways for people to connect, placing AI at the center of its products. The company is based in San Francisco and supported by leaders such as Peter Fenton (Benchmark), David Singleton (former CTO of Stripe), and Gustav Söderström (CEO of Spotify). The team values technical expertise, creativity, and a strong interest in pushing the boundaries of AI. Role overview This Innovative AI Product Engineer position focuses on designing and building frameworks for next-generation consumer AI applications. The work involves both research and hands-on development, with an emphasis on emotional intelligence and relational reasoning in artificial intelligence. The role covers the entire product experience, from context engineering and agent harnesses to memory systems and tooling, always with a strong focus on user experience. What you will do Design and implement foundational frameworks for consumer AI products. Research and develop systems that enhance emotional intelligence and relational reasoning in AI. Take ownership of the product experience, working across the stack and focusing on context engineering, agent harnesses, memory systems, and supporting tools. Who thrives here Enjoys solving complex and ambiguous product challenges independently. Brings strong intuition, product sense, and sound judgment to decisions. Imagines and shapes product experiences, turning concepts into working solutions. Comfortable working across the full technology stack. Continually learns, especially in areas like psychology or sociology. Works with a founder’s mindset, paying close attention to details and outcomes. Communicates clearly and confidently, while remaining open and humble. Familiar with Claude code and Codex tokens. Skilled in Typescript, Python, and building agentic systems. This San Francisco-based role offers the chance to collaborate closely with experienced leaders and peers who are dedicated to building meaningful AI products.

Apr 23, 2026

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Forward Deployed Product Manager at Fractional AI | San Francisco

Fractional AI

Full-time|On-site|San Francisco Office

Join Fractional AI as a Forward Deployed Product ManagerAt Fractional AI, we specialize in developing personalized Generative AI software that revolutionizes business operations. Collaborating with notable clients like Zapier, Airbyte, and Change.org, we create impactful AI applications tailored to meet their unique needs.As organizations strive to bridge the divide between theoretical AI and its practical applications, we facilitate this transition with our exceptional engineering capabilities and comprehensive AI solutions. Explore our case studies to see how we make a difference.We are a profitable, rapidly growing company dedicated to tackling the most challenging problems in applied AI.About the RoleAs a Forward Deployed Product Manager, you will engage with clients who present ambitious goals—such as enhancing content moderation efficiency, improving customer service, unlocking new integrations, and automating complex workflows. Your mission will be to transform these objectives into tangible AI-driven solutions that deliver real-world results, guiding the process from initial discussions to deployment and measurable business impact.This role encompasses several key functions:Client Engagement: Acting as the primary liaison between Fractional AI and our clients.Product Strategy: Defining product development priorities and rationales.Project Management: Overseeing the execution of projects from start to finish.Operational Flexibility: Taking initiative to address any gaps that arise during the product lifecycle.Your Responsibilities:Manage Customer Relationships:Serve as the strategic partner for clients, maintaining regular communication.Participate in initial discussions, facilitate discovery sessions, gather feedback, and ensure alignment on project objectives.Establish trustworthy connections with stakeholders at all levels, setting realistic expectations and transparently discussing trade-offs.Define Product Vision:Determine product features, refine project scope, and prioritize the most impactful use cases.Translate complex business challenges into clear, actionable project plans.

Dec 9, 2025

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General Manager of Data Operations

David AI

Full-time|On-site|San Francisco

About David AIDavid AI is pioneering the field of audio data research, applying rigorous R&D principles to create datasets akin to those utilized by AI laboratories. Our mission is to seamlessly integrate AI into everyday life, leveraging the unique advantages of audio as a medium. As the demand for high-quality training data surges, especially in the evolving landscape of audio AI, David AI is positioned at the forefront of this transformation.Founded in 2024 by a talented group of former Scale AI engineers, we have quickly gained traction, securing partnerships with major FAANG companies and leading AI research labs. Recently, we successfully completed a $50M Series B funding round, attracting investments from esteemed firms like Meritech, NVIDIA, and First Round Capital.Our team embodies sharp intellect, humility, ambition, and a close-knit culture. We invite exceptional minds in research, engineering, product, and operations to join us in our quest to advance the boundaries of audio AI.About our Data Operations TeamThe Data Operations team is the powerhouse behind David AI's Data Factory, dedicated to converting raw audio into premium training datasets for top AI labs. Our focus is on rapidly developing new data pipelines and executing them on a grand scale.This entails initiating from a model capability we aim to unlock, experimenting with diverse data shapes and collection methods, and validating these approaches with researchers. Once a method proves effective, we industrialize it, creating pipelines that process audio data with unwavering reliability, quality, and efficiency. We are relentless operators who excel in dynamic environments, equally adept at prototyping innovative workflows as we are at managing extensive production systems.Your Role as General Manager of Data OperationsIn the role of General Manager, you will oversee a pivotal function within David AI. You will be responsible for a significant segment of our Data Factory, which serves as the engine for generating high-quality, scalable data. Your leadership will guide the team in constructing and expanding pipelines, transitioning from initial experiments that unlock new model capabilities to large-scale industrialization that ensures reliable and efficient data processing.

Jun 13, 2025

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Product Marketing Manager at Liquid AI | San Francisco

Liquid AI

Full-time|On-site|San Francisco

Liquid AI, a company spun out of MIT CSAIL, develops general-purpose AI systems designed for efficiency, privacy, and reliability across a wide range of platforms. The team partners with enterprises in fields such as consumer electronics, automotive, life sciences, and financial services. As Liquid AI expands, the company is seeking new team members to help shape the direction of AI technology. Role overview This Product Marketing Manager position is the first of its kind at Liquid AI and reports directly to the VP of Marketing in San Francisco. The role bridges product development, communications, and go-to-market planning. The Product Marketing Manager will play a key part in ensuring Liquid AI’s innovations reach the right audiences and will help establish the foundation for future marketing initiatives. Success in this position requires a strategic mindset, the ability to understand complex technical products, and an understanding of both enterprise clients and technical users. Adaptability and a willingness to build new processes from the ground up are important for this role. What matters at Liquid AI Builder: Uses modern AI tools (including Claude Code) for content creation, campaign management, and prototyping. Able to create demos or proofs-of-concept for launches and sales, and guide others in these areas. Translator: Communicates complex technical details in clear, credible ways for the market. Knows when to consult engineering for more information before a launch and balances immediate needs with long-term planning. Operator: Establishes repeatable systems such as kickoffs, briefs, and retrospectives, rather than focusing only on one-off projects. Cross-functional collaborator: Works effectively with product, go-to-market, communications, and sales teams to drive campaigns across multiple channels. Networker: Brings recommendations for tools, contractors, and agencies to help scale marketing and communications. Comfortable working with AI tools and freelancers. Main responsibilities Lead competitive analysis and market research to refine Liquid AI’s positioning and identify new growth opportunities. Collaborate with cross-functional teams to develop and execute product marketing strategies.

Apr 24, 2026

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Senior Product Designer at Pano AI | San Francisco

Pano AI

Full-time|$89K/yr - $89K/yr|Hybrid|San Francisco, California

Help Build Tools That Detect Wildfires Early About Pano AI Pano AI develops technology to help fire professionals spot and respond to wildfires faster. Headquartered in San Francisco, the team now includes more than 150 people working in a hybrid-remote model. The company’s platform combines advanced hardware, software, and artificial intelligence, all accessible through a web-based interface. Fire authorities use Pano’s network of 360-degree, ultra-high-definition cameras, along with satellite and other data sources, to monitor specific geographic areas and receive real-time intelligence about emerging threats. The Challenge Wildfires are growing more intense and unpredictable as climate change drives drier conditions and stronger winds. Most fires are still detected by bystanders and reported through 911, which can mean hours of delay before first responders are dispatched. Pano AI aims to give fire authorities a faster, more reliable way to detect and confirm new ignitions, so small incidents are stopped before they become disasters. Recognition Named one of the TIME 100 Most Influential Companies of 2025 Selected by MIT Technology Review as a top 15 climate tech company to watch in 2024 Recognized by Fast Company as a Top 10 most innovative company in AI of 2023 Featured in the Wall Street Journal and Bloomberg Pano AI continues to grow as a leader in early wildfire detection and intelligence, supporting first responders with timely information and better coordination.

Apr 16, 2026

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Software Engineer at fractional-ai | San Francisco

fractional-ai

Full-time|On-site|San Francisco Office

fractional-ai is hiring a Software Engineer to join the team onsite in San Francisco. This role centers on building and improving technology that advances artificial intelligence. Role overview As a Software Engineer, you will work closely with others to develop and support projects that drive the company’s AI initiatives forward. The work involves collaborating with colleagues and contributing technical solutions in a team setting. What you will do Develop software for AI-driven projects Collaborate with team members in the San Francisco office Contribute ideas and technical expertise to ongoing initiatives Requirements Interest in technology and artificial intelligence Ability to work onsite in San Francisco Strong motivation to learn and contribute to team projects

Apr 28, 2026

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Founding Engineer at Effective AI | San Francisco

Effective AI

Full-time|On-site|San Francisco

Role OverviewLocation: San Francisco, CA Work Model: In-officeAbout Effective AIAt Effective AI, we are pioneering the future of work, focusing on sophisticated AI solutions for complex knowledge tasks rather than simple, repetitive functions. Our goal is to develop advanced AI Teammates that excel in intricate workflows and collaborate seamlessly with human professionals. Our initial challenge is to revolutionize the trillion-dollar U.S. Property & Casualty insurance sector, an area rich in data and complexity, ideal for our innovative approach.We have successfully secured $10 million in seed funding from prominent investors including Lightspeed Ventures and Valor Equity Partners.Our passionate team operates out of San Francisco, where we value in-person collaboration to address these pressing challenges.Your ResponsibilitiesAs a Founding Software Engineer, you will be an integral member of our founding team, significantly influencing the design and development of our core product from inception. You will confront critical challenges in agentic AI, crafting Teammates capable of managing essential insurance functions such as underwriting and claims processing.Specifically, you will:Facilitate long-term task completion by creating the foundational architecture for AI agents to plan and execute multi-step processes reliably over prolonged interactions.Develop advanced reasoning functionalities, enabling agents to make informed decisions based on ambiguous or incomplete information, akin to human experts.Create intelligent, tool-utilizing agents capable of selecting and employing a variety of external tools—APIs, databases, web searches, and Excel-based pricing algorithms—to gather information and take decisive actions.Design adaptive and learning systems, equipping our AI Teammates to learn from feedback and adjust to evolving conditions such as regulatory changes or market dynamics.Your ProfileWe seek an innovative and driven builder excited to tackle substantial challenges.You possess a solid foundation in computer science and remarkable problem-solving capabilities, evidenced by impactful projects or previous experience.Your genuine enthusiasm for AI fuels your passion for tackling complex issues.

Aug 19, 2025

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