About the RoleJoin our founding team at Known as an Operations Associate and play a pivotal role in executing an extraordinary consumer launch in 2025. Collaborating closely with our Head of Operations, you will steer go-to-market strategies, foster partnerships, support recruitment efforts, and ensure our operations run seamlessly.This is a unique opportunity to join a well-funded startup ($10M seed funding from one of San Francisco's leading consumer VCs), create a groundbreaking category in AI-driven dating, and take on significant responsibilities right from the start. You will thrive in a fast-paced environment, learn rapidly, and help define how Known enters the market.What You’ll DoSupport GTM Strategy - orchestrate launch plans, timelines, and cross-functional execution.Drive Partnerships - identify, engage, and maintain relationships with venues, creators, and brand partners.Coordinate Marketing Efforts - collaborate on campaigns, events, and content operations with the growth team.Recruiting Support - assist in building candidate pipelines, enhancing candidate experiences, and ensuring hiring timelines are met.Financial Operations - manage expenses, track payments, and help maintain financial health.Work Directly With Founders - contribute to daily strategic decisions across product, growth, and operations.Operational Excellence - develop processes that enhance efficiency, intelligence, and continuous improvement.

About the RoleJoin the innovative team at Known as an Infrastructure and Platform Engineer, where you will take the lead in managing and enhancing our core infrastructure and platform systems. Your work will be crucial in powering AI-driven matching, voice, and scheduling functionalities. You will be responsible for everything from cloud infrastructure and data orchestration to performance monitoring and model deployment support, designing and scaling systems that ensure Known operates swiftly, reliably, and securely.In this pivotal role, you will collaborate closely with the founding team, comprising experts in AI/ML, product development, and design, to establish Known’s technical foundation. You will play a key role in shaping our architecture, engineering culture, and best practices right from the start. This position is perfect for a practical builder who thrives in early-stage environments and is passionate about taking projects from concept to production.

Role OverviewManage the social media calendar - consistently provide a stream of innovative and culturally relevant ideas for platforms like TikTok, Instagram, and others.Identify and develop trends - propose timely content concepts that our founders can seamlessly create (think clips, memes, street interviews, voiceovers, duets, etc.).Direct tone and timing - determine optimal times and methods for our presence on social feeds to ensure authenticity and relevance.Create founder-centric content - elevate our founders as influential and trustworthy voices at the convergence of dating, technology, and cultural trends.Who We’re Looking ForOnline Trendsetter - you recognize emerging trends before they become mainstream and understand the mechanics behind viral content.Engaging Storyteller - you craft compelling narratives, storyboards, and scripts that enhance user engagement.Brand Strategist - you have experience developing social media strategies and content for consumer or lifestyle brands.Inquisitive & Opinionated - you thrive at the intersection of internet culture, technology, and dating.Why Join Us?Flexible part-time position (approximately 10–20 hours per week) with competitive compensation.Direct interaction with the founders - your contributions will shape the brand's voice seen by a vast audience.Creative autonomy - your ideas will guide how Known presents itself online.An opportunity to be part of an exciting consumer startup in the vibrant city of San Francisco.

About NomadicMLNomadicML is at the forefront of transforming video data into actionable insights. We harness the power of machine intelligence to unlock the potential of over 5 trillion miles driven annually in America. Our vision-language models (VLMs) are revolutionizing how industries leverage video content, enabling advancements in self-driving technology, robotics, and industrial automation.Founded by Mustafa Bal and Varun Krishnan, who previously collaborated at Harvard University, our team boasts experience from leading firms such as Snowflake, Lyft, Microsoft, Amazon, and IBM Research. With a passion for innovation, we deliver mission-critical AI systems that drive tangible impact.About the RoleWe are seeking a Frontend Engineer who thrives in a fast-paced environment and excels at turning visionary designs into user-friendly, production-ready interfaces. You will collaborate closely with our founding designer and backend/ML teams to innovate and implement new product features, ensuring that our applications are visually appealing, intuitive, and function seamlessly.The ideal candidate will be results-driven, adept with modern AI-powered development tools, and eager to experiment and iterate. If you have a passion for transforming abstract concepts into exquisite, functional software, we want to hear from you.

Founding Software Engineer - TruTecAbout TruTecTruTec is an AI-driven construction takeoff platform that is transforming a $17 billion industry. We streamline the tedious manual tasks of site measurement and material estimation, reducing hours or days of work into mere seconds. By utilizing satellite imagery, drone photography, and uploaded plans, we furnish contractors with immediate, bid-ready reports and invoicing tools.Currently in the pre-seed phase, TruTec is experiencing rapid growth with new customers joining us daily. To sustain this momentum and enhance our product offerings, we are seeking a Founding Software Engineer to join our innovative team.The RoleAs a Founding Engineer, you will significantly influence TruTec’s future direction. Your role will extend beyond simply writing code; you'll be instrumental in constructing the foundational elements of a product designed to automate the function of a construction estimator.Key Responsibilities:Ship Independently: Take full ownership of features from ideation through to deployment.Performance Optimization: Enhance the platform's speed and responsiveness.Cross-Platform Delivery: Ensure a lightweight, highly functional experience on Windows devices.Scale the Product: Assist in expanding our capabilities to stay competitive and meet the demands of our rapidly growing customer base.Who You AreBuilder Mentality: You have a proven history of shipping products, whether through impactful internships or your own independent ventures.Technical Excellence: You likely hail from a top-tier undergraduate program.Autonomous: You thrive in environments with minimal oversight and can navigate the uncertainties of an early-stage startup.Execution-Focused: You are motivated by the desire to act swiftly and bridge labor gaps through intelligent engineering.Why Join Us?Become part of a pre-seed startup at its inception.Engage in cutting-edge AI methods that yield the most reliable predictions in the industry.

Senior Product Engineer (Full-Stack)About embedding-vcOpenArt, a pioneering platform at embedding-vc, utilizes AI to revolutionize storytelling and visual creation, serving millions across the globe. We are on a mission to develop the future of creative tools enhanced by advanced AI technology, enabling users to craft videos, visuals, characters, and narratives with unprecedented speed and ease.Why Choose to Work with Us?Join a small, dynamic team where senior engineers take full ownership of significant systems from start to finish.Experience rapid deployment at scale — your contributions will impact millions.Be part of a founder-led engineering culture that values deep involvement in product and architectural decisions.Engage with an AI-native product that is at the forefront of transforming advanced models into tangible user experiences.Thrive in a low-process, high-trust environment where your judgment, clarity, and speed are paramount.Your RoleWe are seeking a Senior Product Engineer (Full-Stack) to take charge of intricate, user-facing systems from conception to execution. This multifaceted role requires proficiency across frontend UX, backend systems, APIs, and data models, allowing you to balance product speed, scalability, and long-term sustainability effectively.You will collaborate closely with the founders to design, construct, and refine core AI-driven workflows, acting both as a strong technical leader and a thoughtful product strategist.Your ContributionsGuide product features from initial concept and UX design through to backend integration and successful deployment.Architect scalable backend systems, APIs, asynchronous pipelines, and AI inference workflows.Lead system design initiatives with a focus on performance, reliability, and scalability.Create clean, scalable data models across both SQL and NoSQL databases.Develop seamless frontend experiences utilizing React / Next.js.Make informed technical trade-offs and communicate them effectively.Work closely with Product, Design, and Go-to-Market teams.Mentor fellow engineers and elevate the overall engineering standards.Shape architecture, tooling, and engineering best practices.Desired QualificationsEssential SkillsProven full-stack experience with a track record of shipping scalable production systems.Capacity to independently design and deliver complete features.Demonstrated ability to make pragmatic design decisions that balance speed and quality.Excellent communication and collaboration skills to work effectively with diverse teams.Strong problem-solving abilities and a passion for innovation in engineering.

Founding Platform & Reliability Engineer About OpenArtOpenArt is a revolutionary AI-driven storytelling and visual creation platform utilized by millions around the globe. Our mission is to build the next generation of creative tools powered by advanced AI technology, allowing users to generate videos, visuals, characters, and narratives with speed and creativity never seen before. We envision a future where creativity is inherently AI-native, and we are at the forefront of this transformation. Why Join OpenArt?Be part of a small, dynamic team where senior engineers are responsible for significant systems, not just fragments.Contribute to large-scale projects, with your work impacting millions of users swiftly.Benefit from a founder-led engineering culture where both founders are technical and actively engaged in product and architectural decisions.Work on an AI-native product, crafting how state-of-the-art AI models translate into tangible user experiences.Experience high ownership with minimal bureaucracy, emphasizing judgment, clarity, and speed.Join us during a period of significant growth, with a 7-10X revenue increase over the past two years, and play a pivotal role in scaling the company to new heights. About the RoleWe are seeking a Founding Platform & Reliability Engineer to take charge of the design, scalability, and reliability of our entire infrastructure stack, from high-level architectural choices to hands-on implementation, observability, and cost management.This role is not suited for traditional operators or narrow DevOps specialists. You should be adept at navigating cloud infrastructure, distributed systems, backend services, and developer tools, making practical decisions that optimize product velocity, system reliability, and cost efficiency, particularly in a fast-paced AI-centric landscape.You will collaborate closely with the founders and product engineers to design and refine the platform that powers OpenArt, influencing key decisions like serverless versus containerized architecture, multi-provider AI reliability, and scaling systems for millions of users, while serving as a force multiplier for the entire engineering team. What You’ll DoEstablish and operationalize SLOs/SLIs across essential user journeys (generation, editing, payments/credits, uploads, etc.), utilizing them to guide prioritization (including error budgets).Lead the design and implementation of robust infrastructure solutions that effectively support OpenArt's rapid growth and evolving needs.

About HyperspellHyperspell is revolutionizing the Memory & Context Layer for AI Agents.AI agents are brilliant yet lack context.While AI agents excel in standardized testing, they struggle with real-world applications. Today's cutting-edge agents lack the contextual understanding that humans naturally acquire through diverse interactions. This context evolves with their tasks.Hyperspell empowers AI agents with contextual awareness by integrating with users' workspace data, creating a tailored memory and context layer.Our ValuesWe are committed to shaping the future through bold innovations. Our goal is to establish ourselves as the indispensable context layer for organizations, enabling all their AI agents to connect seamlessly. We embark on this journey not because it is easy, but because it is significant.We prioritize care — for our customers, their success, the future of AI, and most importantly, for one another. As we build the frontier of AI, we strive to be one of the most technologically advanced yet profoundly human companies in history — a place where we can enjoy shaping the future together.Our InvestorsOur vision is supported by esteemed investors such as Y Combinator, Afore Capital, Scribble Ventures, and Pioneer Fund. Our angel investors include leading figures from OpenAI, Anthropic, xAI, and DeepMind, alongside respected founders from Silicon Valley like Siqi Chen (Runway) and Julian Weisser (On Deck).Our FoundersFounded in 2024 by Conor Brennan-Burke and Manu Ebert, Hyperspell is driven by experienced leaders. Conor previously spearheaded growth at Checkr, overseeing a $30 million API product portfolio and earning the title of 'the most helpful founder in YC'.Manu brings over 15 years of expertise in machine learning and AI, having successfully sold two companies and led high-growth engineering teams at Airbnb. Interestingly, he acquired his first .ai domain in 2014, needing to send a fax to the domain authority in Anguilla to do so.About the RoleAs our founding platform engineer, your mission will be to construct the infrastructure that makes Hyperspell feel magical — swift, dependable, and effortlessly scalable. You will be responsible for the foundation upon which our entire product is built, ensuring that when customers entrust us with their data, we uphold their trust.

At Tanagram, we are on a mission to revolutionize agentic coding by transforming the way engineering lessons are harvested from codebases, code reviews, incident post-mortems, and Slack communications. Our innovative approach provides real-time guardrails that identify and rectify risky coding patterns, empowering teams to accelerate their shipping process while minimizing potential pitfalls.We are assembling a small, diverse group of outstanding engineers who are passionate about the future of agentic coding. Our ideal candidates are detail-oriented, possess a high level of agency, and are adept at identifying critical problems to solve, building exceptional products, and continuously iterating towards superior solutions.In this role, you will engage with our entire technology stack, from our Typescript + React frontend to our Python/Go backend and LLM infrastructure. You should possess a keen intuition for selecting the right tools and configuring them to achieve optimal user results.You are proactive and prefer to take immediate action rather than postponing tasks. You communicate your intentions clearly and follow through promptly.We operate in a hybrid work environment, primarily based in San Francisco (Mission Bay) and NYC, but we welcome strong remote candidates. For more insight into our work culture, refer to our guidelines.

About KernelKernel is a cutting-edge developer platform that offers Lightning-Fast Browsers-as-a-Service tailored for browser automation and web agent creation. Our API and MCP server enable developers to seamlessly launch browsers in the cloud without the hassle of infrastructure management.Our serverless browser platform takes care of the complex tasks: autoscaling reliable browser infrastructure, ensuring observability, and managing the intricate details of web interactions, allowing developers to concentrate on their agent functionalities rather than the underlying processes. Kernel brings AI to life, making it practical and powerful, empowering developers to deploy agents that can effectively engage with the digital landscape.We are trusted by teams at Cash App, Rye, and numerous others for diverse applications like in-depth research, QA automation, and real-time web analysis. We have successfully secured $22M in funding from notable investors including Accel, YCombinator, Vercel, Paul Graham, Solomon Hykes (Docker), David Cramer (Sentry), Charlie Marsh (Astral), among others.With just one line of code, you can deploy any web agent to our cloud. The rest is in your hands. If you're passionate about developing critical infrastructure for the next generation of AI applications, we would love to connect.

Slash Financial develops business banking infrastructure tailored for real operational demands. Since its founding in 2021, the company has processed over $10 billion in annual business transactions across several industries. With $100M in Series C funding from investors including Ribbit Capital, Khosla Ventures, Goodwater Capital, NEA, and Y Combinator, Slash continues to grow its product offerings and market presence. The San Francisco headquarters fosters a collaborative, in-person work environment. Role overview The Senior Infrastructure/Platform Engineer will take a hands-on role in scaling and strengthening the core platform behind Slash’s banking products. This position involves designing, building, and maintaining infrastructure to support rapid company growth and high transaction volumes. The work spans AWS cloud operations, Terraform, Kubernetes, and related systems. This engineer will help shape infrastructure strategy and make key decisions on performance, observability, security, and deployment. What you will do Lead the development of next-generation database, real-time workflow, and container orchestration infrastructure. Scale and enhance the Kubernetes (EKS) platform, CockroachDB clusters, Kafka (MSK), Temporal workflows, and ElastiCache Redis. Collaborate with engineering teams to establish and scale best practices using AWS ALB, WAF, Route 53, OpenSearch, S3, and Vercel. Create and maintain abstractions in Terraform and Pulumi to streamline architecture and assist product teams. Improve the speed and reliability of CI/CD pipelines. Tackle complex scaling, performance, and low-latency challenges within a monolithic architecture. Location This role is based in the San Francisco office and supports an in-person work culture.

About the RoleAs a pivotal technical founder, you will be responsible for crafting the entire product interface of Known. This includes developing an engaging mobile application, establishing backend systems for seamless matching and communication, and implementing API integrations that simplify the dating experience. You will create features that combine stunning user interfaces, intelligent data workflows, and third-party services to deliver a truly enchanting consumer experience.You will collaborate closely with the founding team, which includes experts in AI/ML, product development, and design, to transform innovative product concepts into functional code. This high-ownership position allows you to design systems, make significant technical choices, and directly influence how millions of users interact with Known.ResponsibilitiesDevelop and launch mobile applications using React Native that are fast, enjoyable, and user-friendly, covering everything from onboarding processes to real-time messaging and match exploration.Create and uphold backend services utilizing Node.js/TypeScript, including RESTful APIs, WebSocket connections for real-time chatting, and WebRTC integrations for audio and video functionalities.Integrate third-party solutions such as OpenAI/Anthropic LLMs, Apple/Google Pay, reservation systems, and SMS/push notifications to provide seamless, automated interactions.Collaborate with AI/ML engineers to present model outputs—like compatibility scores, tailored recommendations, and conversational agents—through intuitive user interfaces and efficient APIs.Manage infrastructure and deployments on contemporary cloud platforms, ensuring reliability, security, and scalability as the user base expands.Implement analytics and monitoring to evaluate user engagement, conversion pathways, and overall product health in real-time.Requirements3–5 years of experience in building production-level fullstack or mobile applications, preferably within consumer products or startup environments.Proficient in TypeScript, React, React Native, and Node.js.Demonstrated experience in designing and optimizing RESTful APIs with a focus on performance, security, and maintainability.Solid understanding of Postgres—comfortable with data modeling, query optimization, indexing, and database performance.Familiarity with cloud platforms (AWS, GCP, Vercel) for hosting and deployment.

About the RoleJoin us as a pivotal technical founder at Known, where you will be responsible for developing the back-end systems and infrastructure that drive our innovative platform. Your expertise will shape the APIs that cater to millions of requests, establish real-time communication frameworks for voice and text interactions, and create data architectures that facilitate intelligent matching on a large scale. You will design robust, high-performance systems primed for growth alongside our expanding user base.In collaboration with our founding team, including specialists in AI/ML, full-stack development, product management, and design, you will architect back-end services that effectively manage complex workflows. This includes streaming LLM responses, processing payments, handling batch matching jobs, and enabling real-time chat functionalities, all while ensuring simplicity and enhancing developer efficiency. This is a high-responsibility position where your decisions will lay the groundwork for the future scalability of Known.ResponsibilitiesDesign and develop scalable back-end services using Node.js/TypeScript, including RESTful APIs, background job processing, and data pipelines for real-time and batch operations.Architect and enhance database systems with Postgres, focusing on schema design, query optimization, indexing strategies, and data integrity at scale.Build real-time communication infrastructures utilizing WebSockets for chat and WebRTC for audio/video, ensuring minimal latency and maximum reliability.Integrate and oversee third-party services (such as OpenAI/Anthropic LLMs, Google/Apple Pay, reservation platforms, and notification services) with effective error handling and monitoring.Collaborate with AI/ML engineers to construct APIs and data pipelines that support model predictions, manage training data collection, and facilitate experimentation workflows.Take charge of infrastructure, deployment, and observability — develop CI/CD pipelines, implement monitoring and alerting systems, optimize cloud expenses, and guarantee system reliability as user traffic increases.Design for performance and scalability — implement caching strategies, optimize API response times, and architect systems capable of accommodating significant growth without necessitating rewrites.Requirements4–6 years of experience in building production back-end systems, preferably for consumer products, high-traffic applications, or startups.Strong proficiency in TypeScript and Node.js, with a thorough understanding of asynchronous programming techniques.

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.

About AbacusAt Abacus, we are revolutionizing the operations of accounting firms through innovative AI agents that automate the monotonous and repetitive tasks currently faced by teams. Our cutting-edge core engine integrates advanced Optical Character Recognition (OCR) and Large Language Models (LLMs) to provide genuinely intelligent back-office automation solutions. We have already established partnerships with significant enterprise clients, generating substantial revenue, and are proudly supported by leading investors. Having achieved this milestone as a compact team of two, we are eager to expand our workforce. If you are passionate about shaping the future of AI-driven operations and are ready to take on impactful technical challenges from the outset, this is your opportunity.The RoleWe are seeking our inaugural Founding Engineer to take charge of and enhance the core machine learning engine that powers Abacus. Reporting directly to the co-founders, you will work on-site from our San Francisco office. This is a unique chance to join a rapidly growing company as an early engineer, endowed with significant autonomy and influence over both product and technical direction.In your first 3–6 months, you will:Enhance and scale our ML extraction engine utilizing LLMs and OCR technologies.Take ownership of backend architecture and infrastructure decisions.Develop and launch innovative features that broaden the scope of automated workflows.In the following year, you will play a pivotal role in establishing the foundation of our engineering organization as we scale, while remaining hands-on and focused on delivering impactful results.What You’ll DoLead the development of our machine learning-driven document extraction engine.Architect backend systems with an emphasis on performance and scalability.Create and deploy new automation features tailored for tax firms.Work closely with the founders to align on product and user requirements.Contribute to defining our engineering culture and establishing the technical roadmap.What We're Looking ForEssential Qualifications:1–5 years of experience, preferably in environments with high ownership or early-stage ventures.Proficient backend development skills, especially in Python.Demonstrated ability as a 0→1 builder, whether through side projects, startup experience, or both.Commitment to work from our SF office, five days a week.Willingness to complete a technical assessment as part of the application process.

Join us at Growl, the pioneering ad network tailored for consumer AI applications. In just 45 days since our inception, we've successfully expanded our publisher network to millions of users.About UsAs AI emerges as the predominant interface for internet users, integrating digital advertising into AI-driven experiences is becoming essential. Growl is at the forefront, aggregating resources across consumer AI applications to facilitate monetization through advertisements while enabling advertisers to connect with their target audiences more effectively.Supported by leading investment firms such as PearVC and Audacious Ventures, who have a track record of backing billion-dollar enterprises including DoorDash and WorkOS, we are also guided by advisors with extensive experience in mobile ad technology and consumer AI sectors. Our founder, Sahil Manocha, is a published researcher and has previously developed advertising infrastructure at Google.Our Progress We have already tackled the challenging cold start issue that ad networks face by successfully onboarding both advertisers and publishers. Our next steps involve enhancing our core infrastructure to deliver the most contextually relevant advertisements at optimal times.Your RoleAs a founding engineer, you will be instrumental in designing the ad delivery engine within AI applications and developing the supporting infrastructure. This position offers significant equity and a competitive salary ranging from $170K to $220K.What You Will BuildWe already handle millions of requests per minute, with expectations for dramatic growth in the coming months.Your projects will include:An ad decisioning pipeline that encompasses candidate retrieval, scoring, filtering, and final ranking, all under stringent latency service-level agreements (SLAs).A Publisher SDK for seamless integration that AI application developers can implement in just hours.A delivery infrastructure that includes pacing, frequency capping, budget management, and campaign throttling.An observability stack featuring real-time dashboards that track auction win rates, fill rates, revenue, and latency percentiles.

Empowering Innovation in Software EngineeringAt TierZero, our mission is to revolutionize software engineering by enabling developers to focus on what they do best—building. Currently, engineers devote 50–70% of their time on operational tasks such as handling alerts, resolving incidents, answering queries, and monitoring deployments. We are developing cutting-edge AI agents designed to alleviate these burdens, thus unleashing creativity and accelerating development speed. The potential is enormous: a $1.5 trillion productivity market ripe for the taking.Why Join Us?Innovative Team: Our founding team comprises trailblazers in AI technology—seasoned engineers who played pivotal roles in shaping foundational systems at Facebook, Databricks, LangChain, and Brex. Our CEO boasts two successful ventures and previously managed cloud infrastructure for Pokémon GO, while our CTO was instrumental in Databricks’ AI model serving and agent initiatives that generated over $300 million in revenue.Transformative Clients: We collaborate with numerous enterprise engineering teams that have experienced significant improvements in reliability and productivity, many of whom eagerly serve as testimonials for our impact.Groundbreaking Product: We’ve developed a versatile agentic platform that integrates code, infrastructure, telemetry, and institutional knowledge. This holistic approach equips specialized AI agents for a variety of tasks, from incident analysis to engineering support. We take pride in offering the industry’s only 95% accuracy guarantee on agent outputs.Strong Financial Backing: Our endeavors are supported by esteemed investors such as Accel and SV Angel, early backers of prominent companies like Facebook, Atlassian, Slack, and Stripe.About Our SolutionsWhile modern AI tools have simplified coding, the engineering timeframe hasn’t accelerated correspondingly. This lag is primarily due to alerts, incidents, support requests, deployments, performance challenges, and the increasing operational complexity of contemporary systems. TierZero addresses these issues by implementing self-learning AI agents that autonomously manage operational workflows from start to finish, thereby reclaiming invaluable time for engineers and enhancing delivery efficiency.Incident Management: TierZero autonomously conducts impact assessments and root cause analyses utilizing existing telemetry, infrastructure, codebases, and documentation, proposing and executing code changes, rollbacks, and other remedial actions.Engineering Support: Beyond merely addressing common queries, TierZero delves deeper by investigating the root causes...

Join Our Team as a Senior Product Engineer at KatoAbout the PositionRole: Senior Product Engineer (Full-Time)Reports To: CTOLocation: San Francisco (4 days a week in-person)Company OverviewAt Kato, we recognize that lenders allocate over $24 billion annually to hire agents for tedious, manual servicing tasks. While many existing AI solutions attempt to automate these processes, they often overlook regulatory compliance, resulting in systems that cannot be trusted for critical workflows.Kato stands apart by prioritizing compliance as the cornerstone of our operations. Our innovative approach integrates a regulatory rules system with a powerful AI decision engine. This enables us to construct a fully compliant, AI-driven servicing platform that automates essential workflows across all channels, ensuring optimal recoveries. Our human teams can then concentrate on the nuanced decision-making tasks that require their expertise.We are proud to introduce a compliance-first Voice AI agent capable of managing both outbound and inbound loan servicing calls. Currently, we are in production with well-known fintech lending partners such as Bilt Rewards and Parafin.Founded by a team with extensive expertise in financial services and software development, Kato is led by:Pratik Risbud (CEO/Co-Founder): Former Investment Banker at Goldman Sachs and previously led Credit/Operations at Brex.David Zhu (CTO/Co-Founder): Former Software Engineer at Google and Engineering Manager at Brex.Backed by institutional investments from Pear VC and angel investors from leading tech firms such as Brex, Bridge, and Square, we are on the lookout for top talent to fuel our growth.About the RoleWe are in search of a highly motivated and impactful Senior Product Engineer who will collaborate directly with our clients to develop innovative products and enhancements. As our second engineering hire, you will have a unique opportunity to influence our technical landscape and future direction.

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.

About the RoleJoin us as a technical pioneer as we develop the machine learning and AI infrastructure that powers Known, an innovative dating platform that merges psychology, data analytics, and conversational AI. Your mission will be to create and deploy systems that deliver a truly magical experience—transforming how users find meaningful connections through personalized matching algorithms, adaptive recommendation systems, and engaging natural voice interactions.Collaborating closely with our founding team across product, platform, and design, you will play a crucial role in establishing the data and ML foundations that set Known apart from the competition. This hands-on position demands ownership of the research, prototyping, and production deployment processes.