Founding Product Manager at Liquid AI | 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.

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.

About Liquid AIFounded as a spinoff of MIT CSAIL, Liquid AI specializes in developing versatile AI systems designed for optimized performance across various deployment platforms, from data center accelerators to on-device hardware. Our commitment to low latency, minimal memory consumption, privacy, and reliability sets us apart. We collaborate with enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we seek remarkable talent to join our journey.The OpportunityAs we establish our solutions architecture function from the ground up, you will play a pivotal role as one of our inaugural Solutions Architects. Collaborating closely with the Head of Solutions Architecture and the go-to-market organization, you will manage customer engagements from inception to completion.Our models are specifically engineered for environments constrained by memory, latency, and power, encompassing edge devices, mobile applications, embedded systems, and on-premises infrastructure where traditional models cannot operate. You will engage with this boundary daily.Our clientele ranges from AI-native startups to established enterprises venturing into AI for the first time. Your mission is to bridge the gap between our models' capabilities and customers' expectations, delivering on that promise from technical validation through to go-live.

Liquid AI, a spin-off from MIT's CSAIL, develops AI systems designed to run efficiently on standard CPUs. The team emphasizes low latency, minimal memory consumption, and strong reliability. Liquid AI works with major players in consumer electronics, automotive, life sciences, and financial services, and is expanding its team as the company grows. Role overview The Executive Assistant supports the C-suite and executive leadership at Liquid AI's San Francisco office. This position serves as a central point for keeping leaders aligned and informed across Go-To-Market, Product, and Engineering. The Executive Assistant ensures smooth information flow between meetings, decisions, and teams, and also coordinates events and partner visits at the office. What makes a strong candidate Information hub: Tracks project status, decisions, and commitments across different functions. Responds to inquiries directly or knows how to find accurate answers. Proactive planning: Reviews upcoming meetings, identifies preparation gaps, flags conflicts, and ensures materials are ready ahead of time. Clear communication: Liaises with external partners, delivers concise updates to technical leaders, and manages follow-ups across teams. Adaptability: Navigates shifting priorities, changing schedules, and new workstreams with resilience and flexibility. Key responsibilities Serves as the operational backbone for senior leaders by tracking action items, maintaining continuity between meetings, and keeping details organized. Manages complex and dynamic calendars, evaluates meeting requests, aligns schedules with strategic priorities, and protects time for high-impact work. Maintains visibility into cross-functional workstreams, providing leadership with relevant context without requiring them to seek updates. Oversees logistics and preparation for partner and customer visits, ensuring a welcoming and effective experience at the San Francisco office.

About Liquid LabsAt Liquid AI, research has always been at the forefront of our mission. Liquid Labs serves as a dedicated internal research accelerator, facilitating groundbreaking advancements in the development of intelligent, personalized, and adaptive machines.Our roots extend back to MIT CSAIL, where pioneering work on Liquid Neural Networks established a new category of efficient sequence-processing architectures. This research laid the groundwork for our Liquid Foundation Models (LFMs), which are scalable, multimodal models designed for real-world applications in resource-constrained settings.In Liquid Labs, we continue this legacy by advancing the realm of efficient, adaptive intelligence through both fundamental research and practical engineering efforts.We collaborate closely with Liquid’s core foundation model and systems teams to turn theoretical concepts into deployable capabilities, setting the stage for a new era of powerful and efficient intelligent systems.About The Role:As a Research Engineer at Liquid Labs, you will be part of a dynamic, high-impact team pushing the boundaries of adaptive intelligence. You will be responsible for designing and implementing innovative architectures, training methodologies, and inference strategies to expand the potential of efficient AI.Your work will blend research and engineering, as you translate scientific concepts into functional systems, publish findings that advance the field, and deploy solutions that redefine what is achievable.While we prefer candidates from San Francisco and Boston, we welcome applications from other locations within the United States.

About Liquid AIFounded as a spin-off from MIT CSAIL, Liquid AI specializes in creating versatile AI systems designed for optimal performance across various deployment platforms, including data center accelerators and on-device hardware. Our technology emphasizes low latency, minimal memory consumption, privacy, and dependability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are on the lookout for exceptional talent to join our team.The OpportunityThe Data team at Liquid AI drives the development of our Liquid Foundation Models, focusing on pre-training, vision, audio, and emerging modalities. With the stagnation of public data sources, the effectiveness of our models increasingly relies on specially curated datasets. We are seeking engineers with a machine learning mindset who can efficiently gather, filter, and synthesize high-quality data at scale.At Liquid AI, we regard data as a research challenge rather than an infrastructural issue. Our engineers conduct experiments, design ablations, and assess how data-related decisions impact model quality. We will align you with a team where you can experience rapid growth and make a significant impact, be it in pre-training, post-training reinforcement learning, vision-language, audio, or multimodal applications.While we prefer candidates in San Francisco and Boston, we are open to considering other locations.What We're Looking ForWe are in search of a candidate who:Thinks like a researcher and executes like an engineer: You should be able to formulate hypotheses, conduct experiments, and evaluate results. Our engineers produce research-level code while our researchers implement production systems.Learns quickly and adapts: You will be working in rapidly evolving modalities, so the ability to quickly grasp new domains and thrive in ambiguity is essential.Prioritizes data quality: We hold data quality in high regard; tasks such as filtering, deduplication, augmentation, and evaluation are key responsibilities, not afterthoughts.Solves problems autonomously: Data engineers operate within training groups (pre-training and multimodal). While collaboration is crucial, we expect ownership and self-direction.The WorkDevelop and maintain data processing, filtering, and selection pipelines at scale.Establish pipelines for pretraining, midtraining, supervised fine-tuning, and preference optimization datasets.Design synthetic data generation systems utilizing large language models (LLMs), structured prompting, and domain-specific generative techniques.

About Liquid AIFounded as a spin-off from MIT CSAIL, Liquid AI specializes in the development of versatile artificial intelligence systems optimized for performance across various deployment environments, ranging from data center accelerators to on-device hardware. Our focus on low latency, minimal memory consumption, privacy, and reliability allows us to partner effectively with enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are eager to welcome talented individuals who can contribute to our mission.The OpportunityThis unique position places you at the forefront of advanced foundation models and their practical applications. You will oversee post-training projects from start to finish for some of the world’s leading enterprises, while also playing a vital role in the ongoing development of Liquid’s core models.In this role, you will not have to choose between impactful customer work and foundational development; instead, you will enjoy deep involvement in both. You will have significant influence over how models are adapted, assessed, and deployed, directly contributing to the enhancement of Liquid’s post-training capabilities.If you are passionate about data integrity, evaluation processes, and ensuring that models perform effectively in real-world scenarios, this is your chance to redefine the standards of applied AI at a foundation-model company.What We're Looking ForWe seek an individual who:Takes ownership: You will lead post-training initiatives from customer requirements to delivery and evaluation.Thinks end-to-end: You will connect the dots across data generation, training, alignment, and evaluation as a cohesive system.Is pragmatic: You prioritize model quality and customer satisfaction over theoretical publications.Communicates clearly: You can interpret customer needs and effectively communicate with internal technical teams, providing constructive feedback when necessary.The WorkServe as the technical lead for post-training engagements with enterprise clients.Translate client requirements into actionable post-training specifications and workflows.Design and implement data generation, filtering, and quality assessment methodologies.Conduct supervised fine-tuning, preference alignment, and reinforcement learning processes.Create task-specific evaluations, analyze outcomes, and integrate insights back into core post-training workflows.

Join the Innovative Team at Liquid AIFounded as a spin-off from MIT’s CSAIL, Liquid AI is at the forefront of developing cutting-edge AI systems that operate seamlessly across various platforms, including data center accelerators and on-device hardware. Our technology is designed to ensure low latency, efficient memory usage, privacy, and reliability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services as we rapidly scale our operations. We are seeking talented individuals who are passionate about technology and innovation.Your Role in Our TeamAs a GPU Performance Engineer, your expertise will be critical in enhancing our models and workflows beyond the capabilities of standard frameworks. You will be responsible for designing and deploying custom CUDA kernels, conducting hardware-level profiling, and transforming research concepts into production code that yields tangible improvements in our pipelines (training, post-training, and inference). Our dynamic team values initiative and ownership, and we are looking for a candidate who thrives on tackling complex challenges related to memory hierarchies, tensor cores, and profiling outputs.While San Francisco and Boston are preferred, we welcome applications from other locations.

About Liquid AIOriginating from MIT CSAIL, Liquid AI specializes in creating versatile AI systems that operate efficiently across various platforms, from data center accelerators to on-device hardware, focusing on low latency, minimal memory consumption, privacy, and dependability. Our collaborations extend across industries including consumer electronics, automotive, life sciences, and financial services. As we undergo rapid expansion, we are on the lookout for outstanding individuals to join our journey.The OpportunityThe Vision-Language Models (VLM) team is dedicated to developing cutting-edge vision-language models that function seamlessly on devices, adhering to stringent latency and memory requirements without compromising quality. Having already launched four premier models, we are excited about what lies ahead.This team is responsible for the complete VLM pipeline, encompassing research on novel architectures, training algorithms, data curation, evaluation, and deployment. You will be part of a dedicated, hands-on team that directly engages with models and works closely with our pretraining, post-training, and infrastructure teams. Your success will be gauged by the performance of the models we deliver.

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.

Overview: Join Listen Labs as our Founding Product Manager, where you will take ownership of essential product components that enhance the user experience from start to finish. You will be instrumental in defining how teams formulate inquiries, how AI conducts and manages research, and how insights are transformed into actionable, decision-ready outputs. Working in a dynamic 0 to 1 environment, you will collaborate closely with engineering, design, research, and go-to-market teams to bring a visionary product to life that scales effectively.This role is perfect for an individual with a strong sense of ownership, eager to create a foundational product at the crossroads of artificial intelligence, customer research, and pragmatic decision-making.About Listen Labs: Listen Labs is an innovative AI-powered research platform designed to help teams gather insights from customer interviews in a fraction of the time it typically takes. Our platform enables users to analyze conversations, identify key themes, and make informed product decisions swiftly.Why Join Us:Exceptional Team: Our team comprises seasoned entrepreneurs with previous AI exits, and talented professionals from renowned companies such as Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and other Sequoia-backed startups.Rapid Growth: As a 40-member team funded by Sequoia, we have surged from $0 to a $14M run-rate in less than a year. We prioritize speed, craftsmanship, and collaboration with driven individuals.Strong Market Presence: We are experiencing swift expansion across various sectors, with notable enterprise clients including Google, Microsoft, Nestlé, and Procter & Gamble.Outstanding Performance: Our differentiated product boasts an industry-leading win rate, showcasing our competitive edge.Market Validation: We consistently secure clients across all segments, achieving significant contracts that foster rapid growth.Viral Product: Our interviews reach tens of thousands, driving product-led growth and attracting daily inquiries from Fortune 500 companies.

About TierZero TierZero helps engineering teams operate more effectively in the AI era. The platform supports teams managing code in production, aiming to close the gap between human decision-making and machine capabilities. TierZero improves incident response, increases operational visibility, and encourages sharing of knowledge within teams. With $7M in funding from investors including Accel and SV Angel, TierZero works with companies like Discord, Drata, and Framer to optimize their large-scale systems. Role Overview: Founding Product Designer This San Francisco-based role is the first product design hire at TierZero. The designer will work closely with the CEO, CTO, and engineering teams, and will be in direct contact with customers to gather insights and feedback. The position blends design with system thinking, with a focus on building trust and supporting better operator decisions. What You Will Do Design core workflows and dashboards for AI agents handling incidents and production issues. Translate complex system behaviors into clear, dependable user experiences. Develop safety guardrails and interaction patterns that make automation predictable and reversible. Work closely with engineers to shape product decisions and defaults, going beyond visual design. Create high-density, high-signal interfaces for engineers working under pressure. Define how people interact, supervise, and collaborate with AI agents. Build interaction models for extended, multi-step agent workflows. Iterate quickly based on customer feedback from real incidents and on-call scenarios. Contribute to many areas of the company, including product direction, sales presentations, and office culture. Why Join TierZero? Work with a seasoned team, including a CEO with multiple startups behind them and a CTO with deep AI engineering experience. Join a company that values input and creativity, where every team member shapes the work environment.

About Simple AIAt Simple AI, we are pioneering cutting-edge voice AI solutions tailored for enterprises. Our lifelike voice agents empower renowned companies such as DoorDash, xAI, and Omaha Steaks in managing diverse phone operations ranging from customer support to order intake and lead qualification. As we experience rapid revenue growth, we seek a couple of founding software engineers to help us meet current customer demands while developing innovative systems for the future. Our team is passionate about harnessing AI to transform the world, and we operate from our San Francisco office five days a week.Simple AI is proudly supported by top-tier investors and industry leaders, including Y Combinator, Massive Tech Ventures, and prominent figures like Michael Seibel (co-founder of Twitch), Jared Friedman (Scribd), Alexandr Wang (Scale AI), Matt Van Horn (June Oven and Lyft), Suhail Doshi (Mixpanel), JJ Fliegelman (WayUp), and Scott Wu (Cognition).Meet the FoundersThe founders, Catheryn Li and Zach Kamran, previously led software teams at Y Combinator, where they launched numerous products for YC founders, including the co-founder matching site. Cat brings experience from Instagram and Facebook and holds degrees in mathematics and computer science from MIT. Zach studied computer science and statistics at the University of Chicago and led software initiatives at PEAK6.What We ProvideCompetitive salary with significant equity opportunitiesEmployee-friendly equity termsOffice located in San FranciscoComprehensive health, dental, and vision insuranceComplimentary lunch and dinner at the officeFree Uber rides home after 8:30 PMRegular team events and offsite activitiesYour Qualifications4+ years of relevant software engineering experience.Exceptional problem-solving skills and a passion for tackling technical challenges.A customer-centric mindset coupled with strong communication skills and a keen interest in product design and prioritization.Self-motivated with the ability to work independently.A genuine enthusiasm for continual learning and keeping abreast of the latest advancements in AI.

Join Thorin as a Founding Product Manager!As a pioneering member of our team, you will play a pivotal role in shaping the future of applied AI solutions that redefine productivity in modern organizations.At Thorin, we leverage cutting-edge AI technology to create proactive agents that continuously monitor and optimize workflows across platforms like Slack, email, and meetings, ensuring that no task falls through the cracks.Our approach goes beyond traditional AI tools; we build real-time digital twins of organizational processes, enabling seamless automation and actionable insights over extended timeframes.With the visionary guidance of Joe Lonsdale and the backing of 8VC, Thorin is set to become a cornerstone of AI-driven productivity.

Join Shiplight AI as a Founding Engineer, AIAre you ready to be at the forefront of the AI revolution and make a significant impact?Do you believe in enhancing productivity exponentially through innovative solutions?At Shiplight AI, we are on a mission to redefine enterprise-scale automation through intelligent agents. We envision a future where organizations leverage AI systems capable of understanding context, taking meaningful actions, and seamlessly collaborating with humans — transforming workplace dynamics.Our initial goal is to revolutionize software quality assurance. We are developing cutting-edge agentic QA systems that integrate deeply within the software development lifecycle, empowering every product manager, developer, and tester with their own AI QA engineer for real-time validation of their work.You will be part of a small, dedicated founding team led by industry experts, focusing on the intersection of AI agents, systems engineering, and enhancing real-world developer productivity.

About MultiplyAIMultiplyAI is an innovative and rapidly growing AI startup empowering B2B companies to maximize the effectiveness of their paid advertising and reach their ideal customers. Unlike traditional ad campaigns that lose impact over time, we create self-optimizing growth ads that leverage artificial intelligence and expert insights to enhance performance continuously.Currently, we are a team of 13 talented individuals, and you could be our 14th member.Role OverviewAs the inaugural designer at MultiplyAI, you will play a pivotal role in shaping three essential areas of our company:1) Crafting brand designs for the advertisements we create for our clients, managing contractors and our AI design system to deliver exceptional results.2) Steering the product strategy for our AI tools that generate creative content for customer ads.3) Designing products and features that enhance user experience.You will define the aesthetic and functional aspects of modern B2B marketing tools, influencing everything from product UX to visual branding. Your insights will be invaluable in driving our brand identity and overall vision.This position is full-time and requires you to be present at our headquarters in San Francisco. We are dedicated to building a generational company and if you are seeking an extraordinary adventure, this could be your opportunity.

Company OverviewMultiply is an innovative, rapidly growing startup located in the heart of San Francisco, CA. We have developed Blue, an AI-driven marketing agent recognized as the premier performance marketer globally. Blue operates around the clock to create and enhance advertising campaigns that enable our clients to accelerate their growth.Currently, we are a dynamic team of 13, and you will be the 14th member.Our early adopters include prestigious technology firms in Silicon Valley, including several unicorns. With growing demand for our services, we are eager to expand our team and enhance our capabilities.Role OverviewAs our inaugural designer, you'll play a pivotal role in shaping the aesthetics and functionality of our modern B2B marketing tools—from user experience to brand identity. Your contributions will significantly influence our design vision and product trajectory.This is a full-time position based at our Multiply headquarters in San Francisco. We are committed to hard work and are building a generational company. If you're ready for an extraordinary journey, this opportunity is for you.

Founding Engineer – Baton AILocation: San Francisco, CA (In-Person)Experience Level: 3+ years (Full-Stack Engineering)About Baton AIBaton AI (getbaton.ai) is revolutionizing enterprise automation with a cutting-edge platform designed for seamless cross-application workflows. Our mission is to empower solutions engineering and implementation teams by automating customer onboarding and product setup, allowing them to deliver value at a faster pace and scale. This is just the beginning of our expansive vision for enterprise-wide, AI-driven automation.As a rapidly growing, VC-backed startup, we are seeking visionary builders who are eager to innovate, take initiative, and play a key role in shaping the future of AI automation.Your ResponsibilitiesLead Development of Core Systems – Architect and develop essential components of our full-stack web application, API infrastructure, and AI-enabled automation platform.Tackle Advanced Technical Challenges – Engage in complex tasks involving AI agents, prompt engineering, evaluation, monitoring, API integration, and browser automation.Influence Product Direction – Work closely with early adopters and the founding team to shape our technical roadmap and implement impactful features.Embrace Rapid Learning and Prototyping – Innovate, experiment, and deliver solutions swiftly in a high-trust, streamlined environment.Our Ideal Candidate3+ Years in Full-Stack Engineering – Strong proficiency in React and Typescript.Expertise in Modern Web Development – Familiarity with React/NextJS and Node.js. Knowledge of Python and Elixir/functional programming is advantageous.Experience with Rich-Text Editors – Previous work on features similar to those found in Notion or be eager to tackle this challenge.Interest in AI and Workflow Automation – A passion for developing AI/LLM-driven applications and automation tools.Product-Oriented Mindset – A commitment to clean code and exceptional user experience.Strong Problem-Solving Skills – Ability to navigate ambiguity and deliver results efficiently.Willingness to Work On-Site – Enthusiastic about collaborating in person in San Francisco.

Sentra seeks a Founding Product Designer based in San Francisco or the Bay Area. This position partners closely with company leadership to shape the vision for new products and guide design decisions from the ground up. What you will do Collaborate with leadership to define the direction and vision for Sentra’s products Design user experiences and interfaces starting from the earliest product stages Establish and uphold design standards that will influence the company’s future work Impact The work in this role will directly affect the trajectory of new products and set a foundation for design throughout Sentra.

Join Pensive as a Founding EngineerAt Pensive, we are on a mission to revolutionize learning through technology. Check our Notion doc to dive deeper into our vision, founders, and vibrant culture.Your RoleAs a pioneering full-stack engineer at Pensive, you will be at the forefront of the AI revolution, developing software that empowers college instructors and students to learn quickly and automate processes. You will play a crucial role in building:An AI-driven grading and tutoring platform designed to save time for instructors and enhance learning for millions of students.Automation solutions across various business functions, from data management to customer onboarding, pushing towards a fully autonomous operational model.What We Expect From YouA minimum of 1 year of experience in software development.Proficiency in Python and React/Typescript.A fast and efficient development style, utilizing AI tools while maintaining clean, well-tested, and non-AI-generated code.A strong ability to learn rapidly and adapt to fast-paced changes.Bonus QualificationsExperience as a founder or in a founding engineering role.A personal workflow for generating and reviewing AI-assisted code.Our Technology StackBackend: Python, FastAPI, PostgresFrontend: Typescript, React, TailwindCSS, Tanstack RouterInfrastructure: GCP, Cloud Run, FirebaseMobile Development: CapacitorInterview ProcessInitial Interview Chat: 15 minutesTake-Home Test: 8 hoursPaid Work Trial