About Cogent SecurityCogent Security is at the forefront of cybersecurity innovation, leveraging Applied AI to develop next-generation AI agents. In an era where cyber attacks evolve rapidly, our AI Taskforce analyzes vast amounts of enterprise data to proactively address vulnerabilities and prevent critical breaches.We combine pioneering research with practical execution, ensuring that our innovative solutions meet real-world challenges. Our Cogent Research division acts as our dedicated AI lab, driving the development of advanced security workflows.Since our emergence from stealth mode, we have rapidly grown, collaborating with Fortune 500 companies to secure complex production environments globally.Supported by Greylock, we have gathered a team of top talent from renowned institutions and leading organizations in the AI and cybersecurity sectors.About the RoleAs an Agent Engineer at Cogent Security, you will be pivotal in designing, building, and deploying critical AI agents tailored for complex client environments. Your role is highly cross-functional, involving direct collaboration with customers to understand their unique needs, adapting our platform accordingly, and iterating on scalable solutions to handle millions of real-world security events.You will manage projects from inception to deployment, including data onboarding and integrating feedback into our core agent platform. Your contributions will shape how AI agents detect threats, triage incidents, and automate security workflows for some of the most sophisticated organizations worldwide.This position is ideal for engineers who excel in dynamic environments, enjoy tackling complex technical challenges, and wish to see the tangible impact of their work.

About Cogent SecurityCogent Security is an innovative Applied AI Lab pioneering the future of AI agents in the realm of cybersecurity. In a world where cyber threats evolve at unprecedented speeds, our 'AI Taskforce' analyzes vast amounts of enterprise data to proactively address vulnerabilities and avert critical breaches.We remain at the forefront of technology by merging cutting-edge research with practical applications. Our dedicated Cogent Research team fuels our mission, ensuring we develop truly effective security workflows powered by AI.Since our inception, Cogent has rapidly grown, collaborating with Fortune 500 companies to safeguard the most intricate production environments globally.Supported by Greylock, our team comprises some of the brightest minds in applied AI, including experts from:Renowned universities such as Stanford, Berkeley, Penn, Duke, Carnegie Mellon, and Waterloo.High-growth unicorn companies like Scale AI, Databricks, Stripe, Tesla, and Coinbase.Leading cybersecurity specialists from Wiz, Abnormal AI, and Zscaler.Prestigious research institutions including DeepMind and SAIL.About the RoleAs we embark on building a suite of backend services and integrations with our design partners, we seek passionate and skilled Backend Engineers at both Senior and Staff levels, eager to thrive in the Applied AI domain.ResponsibilitiesDesign and implement critical backend subsystems and integration platformsComprehend business objectives and customer requirements to engineer backend subsystems that align with our technology strategies.Adapt systems to meet evolving needs of design partners and clients.Incorporate non-functional requirements such as compliance and security into system design.Establish scalable infrastructure foundationsPrepare for future growth in customer base, headcount, and data management by collaborating with your team to enhance infrastructure.

About Cogent SecurityCogent Security is pioneering the future of cybersecurity through Applied AI, creating advanced AI agents designed to combat rapidly evolving cyber threats. Our AI Taskforce analyzes vast datasets to neutralize potential breaches before they impact our clients.Our commitment to innovation combines cutting-edge research with practical application, ensuring our solutions are at the forefront of technology. In addition to our product development, Cogent Research acts as our applied AI laboratory, supplying the expertise required to create highly effective security workflows.Since our launch from stealth mode, Cogent has seen remarkable growth, collaborating with Fortune 500 companies to secure some of the most intricate production environments globally.Backed by Greylock, our team consists of exceptional talents from leading universities such as Stanford, Berkeley, and Carnegie Mellon, as well as high-growth companies like Scale AI and Tesla, and cybersecurity experts from stalwarts like Wiz and DeepMind.

About Cogent SecurityCogent Security is at the forefront of innovation in cybersecurity, operating as an Applied AI Lab dedicated to developing next-generation AI agents. In an era where cyber threats evolve rapidly, our "AI Taskforce" analyzes vast amounts of enterprise data to proactively address vulnerabilities and prevent significant breaches.Blending cutting-edge research with practical implementation, our team works diligently to transform theoretical concepts into actionable security solutions. Our applied AI lab, Cogent Research, provides essential research capabilities that enable the realization of autonomous security workflows.Since our emergence from stealth mode, Cogent has seen impressive growth, collaborating with Fortune 500 companies to enhance security in some of the world’s most complex environments.Supported by Greylock, we have assembled a team of top-tier talent from influential universities and leading companies in the tech and cybersecurity sectors.

About Cogent SecurityCogent Security is an innovative Applied AI Lab dedicated to developing the next generation of AI agents for cybersecurity. As cyber threats evolve, so do our defenses. Our 'AI Taskforce' analyzes vast amounts of enterprise data to proactively address potential breaches before they can escalate.To maintain our edge, we integrate pioneering research with practical implementation. In addition to our core product initiatives, Cogent Research acts as our applied AI laboratory, fueling our ability to create truly intelligent security workflows.Since our launch, Cogent has rapidly expanded, collaborating with Fortune 500 companies to secure some of the world's most intricate production environments.Supported by Greylock, we've assembled a team of exceptional talent in applied AI, including individuals from:Renowned universities such as Stanford, Berkeley, Penn, Duke, Carnegie Mellon, and WaterlooHigh-growth companies including Scale AI, Databricks, Stripe, Tesla, and CoinbaseLeading cybersecurity experts from Wiz, Abnormal AI, and ZscalerPrestigious research institutions like DeepMind and SAILAbout the RoleIn the role of Senior Frontend Engineer, you will take ownership of the frontend platform and user experience, empowering customers to visualize, understand, and act upon complex security data with assurance.This position is classified as Staff+ level; you will have previously operated as a Staff, Senior Staff, or Principal Frontend Engineer and will be eager to define the technical pathway for a new platform. Your responsibilities will include designing frontend infrastructure, developing 'golden' component libraries, and enhancing the platform’s AI capabilities, all while delivering customer-facing features.You will balance in-depth architectural design with hands-on development, ensuring our frontend stack is both sophisticated and robust as we scale. Over time, you will play a key role in mentoring junior frontend engineers, laying the groundwork for a strong team based on the foundations you establish.

About Cogent SecurityCogent Security is dedicated to thwarting breaches and combating cybercrime through cutting-edge innovations in generative AI systems. We are pioneering the world's first AI cyber taskforce, which comprises AI agents capable of human-like reasoning and execution of cybersecurity tasks, autonomously safeguarding organizations against emerging threats. Our technology is currently being utilized by some of the globe's most prestigious institutions, including public companies, elite universities, and Fortune 500 corporations across various sectors.Founded by a dynamic team of former engineering and product leaders, Cogent brings together decades of expertise in cybersecurity and technology. Our initial team operates entirely in-person from San Francisco and New York, consisting of top-tier software engineering and machine learning talent from renowned companies such as Abnormal Security, Coinbase, Microsoft, Tesla, and Stripe. To fuel our ambitious growth trajectory, we have successfully secured significant Seed funding from leading investors and angels in the fields of AI, cybersecurity, and enterprise software.As we pursue our mission, we continually strive to achieve the following core values:Ambition for Excellence: We set high standards and consistently measure our progress against them.Customer Centricity: We are deeply committed to understanding our customers' challenges and innovating to provide optimal solutions.Intellectual Honesty: We welcome difficult conversations and actively seek to uncover the truth.Intentionality: We exercise sound judgment and are mindful of our decisions.Extreme Ownership: We take responsibility for our work and never use the phrase “not my problem.”Velocity / Bias for Action: We prioritize action and do not procrastinate on tasks that can be accomplished today.As we expand our founding team, we seek talented and driven individuals eager to make impactful contributions in the Applied AI domain!

About tierzero tierzero helps engineering teams build and deploy code with greater speed and operational clarity in an AI-driven world. The company focuses on improving incident response, operational visibility, and knowledge sharing for engineers. Backed by $7 million in funding from investors like Accel and SV Angel, tierzero supports large-scale systems for clients such as Discord, Drata, and Framer. Role Overview: Founding Member of Technical Staff This role is based at tierzero's San Francisco headquarters. In-person work is required three days a week. As a founding member of the technical team, you will help design and build core products and systems from the ground up. Collaboration is central: expect to work closely with the CEO, CTO, and customers. Projects span a wide range of technical challenges and product areas. What You Will Do Design and implement intelligent AI systems that process and reason over large volumes of unstructured data. Develop full-stack features, incorporating direct feedback from users. Improve the product experience so intelligent agents are practical and reliable for engineers. Create systems that automatically evaluate LLM outputs and refine agent reasoning using self-play and feedback loops. Build machine learning pipelines covering data ingestion, feature generation, embedding stores, RAG pipelines, vector search, and graph databases. Prototype and experiment with open-source and advanced LLMs to weigh different approaches. Set up scalable infrastructure for long-running, multi-step agents, including memory management, state handling, and asynchronous workflows. What We Look For At least 5 years of professional or open-source experience in a relevant technical field. Comfort working in a setting that changes and evolves quickly. Strong product focus and an understanding of customer needs. Interest in LLMs, MCPs, cloud infrastructure, and observability tools. Ability to learn from and collaborate with engineers who have delivered over $10 billion in value. Commitment to working onsite in San Francisco three days per week. Startup experience is a plus.

Cogent Security seeks a Technical Account Manager based in San Francisco, CA. The focus of this position is to develop and maintain strong relationships with clients, ensuring their technical needs are met with care and attention. Key responsibilities Serve as the primary point of contact for assigned clients, addressing technical questions and concerns as they arise. Guide new customers through the onboarding process, helping them become familiar with Cogent Security’s solutions. Provide ongoing support, troubleshooting, and tailored advice to meet each client’s unique requirements. Work to maintain customer satisfaction and foster long-term partnerships.

Join runlayer as a Member of the Technical Staff specializing in Security, where you will play a pivotal role in safeguarding our systems and data. You will collaborate with a talented team of engineers to design and implement security protocols, ensuring the integrity and confidentiality of our information. This is an exciting opportunity to work in a fast-paced environment that values innovation and continuous improvement.

Role overview As a Founding Member of Technical Staff at tierzero in San Francisco, this early hire will play a key role in shaping both the company’s technology and its products from day one. The position calls for hands-on work, building new solutions and collaborating with the team to set technical direction. What you will do Work directly with the founding team on core product development Help establish engineering practices and technical standards Take on projects designed to set new benchmarks in the industry Influence decisions that guide the company’s technology roadmap Location This role is based at tierzero’s headquarters in San Francisco.

TierZero seeks a Founding Member of Technical Staff to join the team in San Francisco. This in-person position requires working from the SF headquarters at least three days per week. Role overview This role centers on close collaboration with a group of engineers who have collectively delivered over $10 billion in value during their careers. Expect to work side by side with teammates, sharing ideas and building strong connections in the office. The environment often shifts, so adaptability and comfort with changing priorities are important. Key responsibilities Work directly with experienced engineers to design and build new products Prioritize customer needs and satisfaction in product decisions Develop solutions using large language models (LLMs), multi-cloud platforms (MCPs), cloud infrastructure, and observability tools Requirements Minimum 5 years of professional engineering experience or a strong record of open-source contributions Experience in startups and familiarity with their unique challenges is a plus Location This position is based in San Francisco. In-office presence is required three days each week for collaboration.

About tierzero tierzero builds tools that help engineering teams manage production code with stronger incident response, better operational visibility, and collaborative knowledge sharing. Companies like Discord, Drata, and Framer use tierzero to support their infrastructure in an AI-driven landscape. Backed by $7 million from investors including Accel and SV Angel, tierzero is growing quickly from its San Francisco headquarters. Role Overview: Founding Member of Technical Staff This is a hands-on role shaping tierzero’s core product and systems from the ground up. The founding technical team works closely with the CEO, CTO, and early customers to solve real engineering challenges. The position is based in San Francisco, with a hybrid schedule: three days each week in the office. What You’ll Do Design and build intelligent AI systems that process large volumes of unstructured data Deliver full-stack features informed by real-time user feedback Improve usability so AI agents are both effective and trustworthy for engineers Develop systems for automated evaluation of LLM outputs, including feedback loops and self-play Construct machine learning pipelines for data ingestion, feature generation, embedding storage, retrieval-augmented generation (RAG), vector search, and graph databases Prototype with open-source LLMs to understand their strengths and weaknesses Create scalable infrastructure for complex, multi-step agents, focusing on memory, state management, and asynchronous workflows Who We’re Looking For 5+ years of professional experience or significant open-source contributions Interest in LLMs, MCPs, cloud infrastructure, and observability tools Comfort working in changing, ambiguous situations Product-focused and customer-first mindset Experience learning from and collaborating with engineers from diverse backgrounds Bonus: Previous experience in a startup setting Work Location Hybrid schedule: three days per week in-person at the San Francisco HQ.

Technical Staff MemberAt humans&, we are dedicated to pioneering a human-centric approach to artificial intelligence. Our mission is to redefine AI by placing individuals and their interpersonal connections at the heart of our innovations.We invite talented researchers and engineers who have made significant contributions to the cutting-edge of AI to join our dynamic team. If you excel in your field and are driven to innovate, we want to hear from you!

About the Role Reflection AI is hiring a Member of Technical Staff focused on Infrastructure Security in San Francisco. This position plays a key part in protecting the company’s infrastructure from security threats. What You Will Do Work with teams across the company to design, implement, and monitor security protocols and systems Help safeguard digital assets by maintaining the integrity and security of infrastructure

At Catalog, we are pioneering the commerce infrastructure for AI—creating the essential framework that enables digital agents to not only explore the web but also comprehend, analyze, and engage with products. Our innovations drive the future of AI-driven shopping experiences, fundamentally transforming how consumers discover and purchase items online.Role OverviewAs a Technical Staff Member, you will be instrumental in developing core systems, shaping our engineering culture, and transitioning our vision from prototype to a robust platform. This role requires full-stack expertise and a commitment to owning and resolving challenges from start to finish.Who You AreYou have experience creating beloved and trusted products from the ground up.You combine technical proficiency with a keen product sense and data-driven intuition.You are well-versed in AI technologies.You prioritize speed, write clean code, and ensure thorough instrumentation.You seek a high level of ownership within a small, talent-rich team based in San Francisco.Challenges You Will TackleDevelop and deploy agentic-search APIs that deliver structured and real-time product data in milliseconds.Build checkout systems enabling agents to conduct transactions with any merchant.Create an embeddings and retrieval layer that optimizes recall, precision, and cost efficiency.Establish a product graph and ranking pipeline that adapts based on actual user outcomes.Preferred QualificationsProven experience shipping data-centric products in a live environment.Experience with recommendation systems or information retrieval methodologies.Familiarity with API development, search indexing, and data pipeline construction.Our Work CultureWe operate with a small, high-trust, and highly motivated team, fostering an environment of in-person collaboration in North Beach, San Francisco. Our process involves debate, decision-making, and execution.If your profile aligns with our needs, we will contact you to arrange 2-3 brief technical interviews, followed by an onsite meeting in our office where you will collaborate on a small project, exchange ideas, and meet the team.

Overview: Join Listen Labs as we embark on an exciting journey to revolutionize decision-making for companies through cutting-edge AI technology. With a robust product roadmap planned for the next six months, we are expanding our engineering team. We are in search of a highly technical individual who thrives on solving complex problems and is eager to contribute to our mission. If you are passionate about innovation and want to be part of a team that includes several IOI medalists, we want to hear from you!About Listen Labs:Listen Labs is at the forefront of AI-powered research, enabling teams to extract valuable insights from customer interviews in a matter of hours rather than months. Our platform assists users in analyzing conversations, identifying key themes, and making informed product decisions swiftly.Why Join Us?Exceptional Team: Our founding team consists of seasoned entrepreneurs with a proven track record in AI, alongside top talents from renowned organizations such as Jane Street, Twitter, Stripe, and Goldman Sachs.Rapid Growth: Backed by Sequoia Capital, we have grown from zero to a $14M run-rate in under a year, with a dedicated team of 40.Impressive Clientele: We are witnessing significant traction across various sectors, securing enterprise clients like Google, Microsoft, and Nestlé.Product Excellence: Our differentiated product offers an industry-leading win rate, which is a testament to our commitment to quality.Market Success: Our customer base is expanding rapidly, with numerous six-figure contracts leading to further growth.Viral Impact: Our product's interviews reach tens of thousands of viewers, driving organic growth and interest from Fortune 500 companies.

ABOUT THE ROLE:As an AI Engineer at Varick, you will take charge of designing and optimizing the intelligence layer within our enterprise operations. This involves creating agent systems that efficiently handle thousands of transactions, make classification decisions, and learn from human interactions.This position is suited for engineers with extensive experience in LLMs, agent architectures, and evaluation systems. You have successfully developed agent workflows that operate in production, not merely in demo environments. Your expertise includes prompt engineering, retrieval, tool calling, multi-agent orchestration, and the evaluation frameworks necessary for deploying trustworthy AI systems in enterprise settings.WHAT YOU'LL DO:• Design and implement agent architectures that tackle complex enterprise workflows, focusing on multi-step reasoning, tool calling, and exception handling.• Develop and sustain evaluation systems that ensure agent quality, accuracy, safety, and groundedness.• Create robust prompt systems, retrieval pipelines, and context engineering strategies to ensure reliable agent performance.• Establish feedback loops that empower agents to learn from human corrections and enhance their functionality over time.• Optimize inference costs and latency for production workloads to ensure efficiency.• Define and uphold best practices for agent reliability, observability, and governance.• Stay updated with the latest models, frameworks, and research to ensure impactful deployments into production.WHAT WE'RE LOOKING FOR:• At least 3 years of software engineering experience, with a minimum of 1–2 years dedicated to LLM applications or AI systems in a production environment.• Practical experience in constructing agent workflows featuring tool calling, retrieval, and multi-step reasoning.• A profound understanding of prompt engineering, context engineering, and methods to elicit reliable behavior from LLMs.• Experience in developing evaluation systems to assess AI output quality.• Proficient in Python with a solid foundation in backend engineering principles.• You have delivered AI features to actual users and have navigated challenges such as hallucinations, edge cases, accuracy drops, and cost management.• Must be based in San Francisco.

About Us:At Parafin, we are dedicated to empowering small businesses, which are the foundation of our economy. Traditional banking solutions often fall short in supporting these enterprises, and that's where we come in. We create technology that simplifies access to essential financial tools for small businesses through their existing sales platforms.We collaborate with notable partners such as DoorDash, Amazon, Worldpay, and Mindbody to provide fast, flexible funding options, spend management solutions, and savings tools to small business users via seamless integration. Parafin handles the complexities of capital markets, underwriting, servicing, compliance, and customer support for our partners.Our team consists of innovators from leading companies like Stripe, Square, Plaid, Coinbase, and Robinhood, all driven by a shared passion for developing tools that foster the success of small businesses. With backing from prominent venture capital firms including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital, Parafin is a Series C company that has raised over $194M in equity and $340M in debt facilities.Join us in creating a future where every small business has the financial resources they need.About the PositionWe are seeking an experienced security-focused engineer to enhance and scale Parafin's security measures across our cloud and platform environments. Our Security and Infrastructure team is responsible for the foundational systems that power all of Parafin—from compute and networking to identity management and compliance. You will play a crucial role in ensuring these systems are secure, reliable, and compliant.In this role, you will design and implement controls, tools, and processes that maintain the resilience and compliance of our infrastructure, all while enabling developers to operate swiftly and safely. You will collaborate closely with various engineering and compliance teams to bolster our approach to access management, application security, threat monitoring, and incident response.

At Composio, we are developing advanced infrastructure that enables agents to seamlessly interact with essential work tools such as GitHub, Gmail, Notion, Salesforce, and more. Our dedicated team of engineers is committed to tackling challenges ranging from contextual understanding to search functionalities, ensuring we provide an exceptional bridge between your agents and their tools.Having secured a $25M Series A funding from Lightspeed, alongside prominent angel investors like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of HubSpot), and Gokul Rajaram, we have experienced remarkable growth, tripling our ARR at the start of this year. Our clientele includes notable names from Y Combinator cohorts to Wabi, Glean, Zoom, and beyond.Your RoleEnhance the experience of teams utilizing our platform by refining our core APIs and SDK.Create intuitive interfaces for both frontend and SDK applications.Take ownership of product development from concept through to production.Collaborate closely with customers to cultivate their loyalty while enhancing the product.Craft clear and concise documentation.

About TierZero TierZero helps engineering teams use AI to build and ship code more efficiently. The platform targets the bottleneck of human speed in production, giving teams tools for faster incident response, better operational visibility, and shared knowledge. TierZero is backed by $7M in funding from investors including Accel and SV Angel. Companies like Discord, Drata, and Framer trust TierZero to strengthen their infrastructure for AI-driven engineering. Role Overview: Founding Member of Technical Staff This is an on-site role based at TierZero’s San Francisco headquarters, with three days a week in the office. As a founding member, direct collaboration with the CEO, CTO, and early customers shapes the direction of both product and systems. The work spans hands-on development and close engagement with users and leadership. What You Will Do Design and build intelligent AI systems to analyze large volumes of unstructured data. Deliver full-stack features based on real user feedback. Improve the product experience so AI agents are both reliable and easy for engineers to use. Develop systems that automatically evaluate LLM outputs and advance agentic reasoning using self-play and feedback loops. Create machine learning pipelines, including data ingestion, feature generation, embedding stores, retrieval-augmented generation (RAG), vector search, and graph databases. Prototype with open-source and new LLMs, comparing their strengths and weaknesses. Build scalable infrastructure for long-running, multi-step agents, with attention to memory, state, and asynchronous workflows. What We Look For Over five years of relevant professional or open-source experience. Comfort working in environments with uncertainty and evolving challenges. Strong product focus and a drive for customer satisfaction. Interest in large language models (LLMs), Model Control Planes (MCPs), cloud infrastructure, and observability tools. Previous startup experience is a plus. Location This position is based in San Francisco. Expect to work on-site three days per week at TierZero’s HQ.