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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.
Reflection AI is at the forefront of AI technology, dedicated to innovating and enhancing digital security solutions. We foster a dynamic and inclusive work culture that encourages creativity and collaboration. Our commitment to personal and professional growth makes us a great place to advance your career.
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Reflection AI
Our MissionAt Reflection AI, our mission is to develop open superintelligence that is accessible to everyone.We are creating advanced open weight models tailored for individuals, agents, enterprises, and even nations. Our talented team comprises AI researchers and industry veterans from renowned organizations such as DeepMind, OpenAI, Google Brain, Meta, Cha…
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.
Cogent Security
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 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.
Catalog
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.
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 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.
TierZero builds tools that help engineering teams deliver and manage code efficiently. The platform enables quicker incident response, clearer operational visibility, and shared knowledge among engineers. Backed by $7 million from investors like Accel and SV Angel, TierZero supports clients such as Discord, Drata, and Framer as they strengthen infrastructure for AI-driven work. This in-person role is based at TierZero's San Francisco headquarters, with a hybrid schedule requiring three days onsite each week. As a founding member of the technical staff, work directly with the CEO, CTO, and customers to influence the direction of TierZero’s core products and systems. The position calls for flexibility as priorities shift and close collaboration across the company. What you will do Design and develop AI systems that handle large volumes of unstructured data. Build full-stack product features, informed by direct feedback from users. Enhance the product so agents are intelligent, reliable, and easy for engineers to use. Create systems to automatically evaluate outputs from large language models and improve agentic reasoning through self-play and feedback. Construct machine learning pipelines, including data ingestion, feature creation, embedding stores, retrieval-augmented generation (RAG) pipelines, vector search, and graph databases. Experiment with open-source and emerging large language models to compare different approaches. Develop scalable infrastructure for long-running, multi-step agents, including memory, state management, and asynchronous workflows. Requirements Interest in working with large language models, managed cloud platforms, cloud infrastructure, and observability tools. At least 5 years of professional experience or significant open-source contributions. Comfort with shifting priorities and tackling new technical problems. Strong product focus and commitment to customer outcomes. Openness to learning from a team with a track record of delivering over $10 billion in value. Ability to work onsite in San Francisco three days per week. Bonus: Experience in a startup setting and familiarity with startup dynamics.
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.
Join Us If You:Are eager to learn from a group of experienced engineers who have successfully delivered over $10 billion in value.Prefer to work in our San Francisco office three days a week.Excel in navigating uncertainty.Possess a product-oriented mindset with a strong emphasis on customer satisfaction.Are passionate about working with Large Language Models (LLMs), Multi-Cloud Platforms (MCPs), Cloud Infrastructure, and Observability tools.Bring at least five years of professional or open-source experience.Bonus: Have previous experience in a startup environment and understand the dynamics involved.About TierZeroAt TierZero, we are redefining how engineering teams leverage AI to enhance the speed and efficiency of code deployment. While AI accelerates the development cycle, the actual process of productionizing code remains a challenge. Our platform empowers agile engineering teams to manage code in production effectively, ensuring quicker incident response times, comprehensive operational visibility, and shared knowledge among all team members.Backed by $7 million in funding from leading investors like Accel and SV Angel, TierZero is trusted by industry leaders such as Discord, Drata, and Framer to operate their high-scale systems and create the foundational layer for AI-driven engineering teams.The RoleAs a founding member of our team, you will play a crucial role in conceptualizing and developing our core product and systems from the ground up. Collaborating closely with the CEO, CTO, and our valued customers, you will be engaged in a variety of dynamic projects, including:Designing and implementing intelligent AI systems capable of analyzing extensive unstructured data.Delivering full-stack features informed by direct user feedback.Enhancing the product experience to ensure agents are not only intelligent but also user-friendly and reliable for engineers.Creating systems that autonomously assess LLM outputs, enhancing agent reasoning through iterative self-play and feedback mechanisms.Developing machine learning pipelines encompassing data ingestion, feature generation, embedding stores, retrieval-augmented generation (RAG) pipelines, vector search infrastructure, and graph databases.Investigating and prototyping with open-source and cutting-edge LLMs to assess their capabilities and trade-offs.Establishing scalable infrastructure to support long-running, multi-step agents, addressing aspects like memory management, state handling, and asynchronous workflows.
Join our dynamic team at Adyen as a Technical Staff Member in San Francisco! We are seeking innovative minds passionate about technology and problem-solving. In this role, you will collaborate with cross-functional teams to craft solutions that enhance our services and improve customer experiences.
Mandolin is developing AI-powered clinical and financial infrastructure for healthcare, aiming to accelerate the delivery of new treatments. The team partners with leading healthcare institutions across the United States and manages over $10 billion in drug spend. Backing comes from investors including Greylock, SV Angel, Maverick, SignalFire, and founders from Vercel, Decagon, and Yahoo. Role overview This San Francisco-based Technical Staff Member - Security position centers on building secure, reliable systems as Mandolin approaches a major public launch. With platform usage increasing, the company needs its infrastructure to meet enterprise standards for reliability and security while supporting efficient developer workflows. The role requires a DevSecOps leader to establish secure cloud operations and define security best practices as the organization grows, especially when handling sensitive healthcare data. What you will do Design Zero-Trust Infrastructure on Public Cloud: Architect resilient cloud environments using Pulumi. Apply Zero Trust Networking principles and enforce service-to-service authentication with mTLS. Set up autoscaling and high-availability networking for Kubernetes (GKE) and serverless workloads, balancing strong security with cost control. Lead Proactive Security and Threat Hunting: Go beyond standard scanning by implementing in-depth threat hunting across code repositories and CI/CD pipelines. Deploy and operationalize a SIEM to analyze data from cloud logs, Kubernetes audit trails, and application telemetry. Secure the SDLC and Developer Experience: Oversee the security toolchain from code commit through deployment. Integrate SAST, dependency scanning, and container image scanning (aligned with OWASP) into GitHub Workflows and ArgoCD rollouts, supporting rapid development without compromising security. Requirements This role is for an experienced security professional ready to take ownership of Mandolin’s cloud infrastructure and software delivery security. The focus is on building and maintaining secure systems, not just achieving compliance.
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.
tierzero is looking for a Founding Member of Technical Staff to help shape the direction of its technology from the ground up. This role is based at the company's San Francisco headquarters. Role overview As an early technical hire, you will work closely with engineers and product managers to build new products and features. The work centers on designing, coding, and delivering software solutions that address client needs and support tierzero's growth. Impact Contributions in this role will directly influence the company's future. The team values initiative and hands-on problem solving, giving each member a chance to make a visible difference in how the company evolves. Collaboration This position involves regular collaboration with a small, focused team. Input and ideas from every member help guide product direction and technical decisions.
Are you ready to take a leap into innovation?Join a team of expert engineers who have collectively contributed over $10 billion in value.Be present in our San Francisco office three days a week, collaborating closely with your peers.Flourish in a dynamic environment where adaptability is key.Adopt a product-driven and customer-centric mindset.Engage with cutting-edge technologies including LLMs, MCPs, Cloud Infrastructures, and Observability tools.Bring over five years of professional experience or open-source contributions to the table.Bonus points if you've previously thrived in a startup environment.About TierZeroAt TierZero, we are transforming the landscape of software engineering with AI. Our mission is to enhance the speed at which engineering teams build and deploy code, addressing the bottlenecks that slow down production. With $7 million raised from esteemed investors like Accel and SV Angel, our solutions are trusted by leading companies such as Discord, Drata, and Framer to optimize their high-scale systems and infrastructure for the AI-driven future.Your RoleAs a founding member, you will play a pivotal role in creating and developing our core products and systems. Collaborating closely with our CEO, CTO, and our valued customers, you will be engaged in a variety of tasks, including:Designing and implementing intelligent AI systems capable of reasoning over vast amounts of unstructured data.Deploying full-stack features based on direct user feedback.Enhancing the product experience to ensure that our AI agents are not only intelligent but also reliable and user-friendly for engineers.Building systems that automatically assess LLM outputs, enhancing reasoning through self-play and feedback loops.Developing machine learning pipelines for data ingestion, feature generation, embedding storage, RAG pipelines, vector search infrastructure, and graph databases.Experimenting with open-source and frontier LLMs to assess various trade-offs.Creating scalable infrastructure to support long-running, multi-step agents, including memory, state management, and asynchronous workflows.
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.
Twelve Labs
Join Our Innovative TeamAt Twelve Labs, we are at the forefront of technology, developing state-of-the-art multimodal foundation models that enable video comprehension akin to human understanding. Our groundbreaking models have set new benchmarks in video-language modeling, enhancing our capabilities and revolutionizing media interaction and analysis.With impressive backing of $107 million in Seed and Series A funding from prestigious venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, as well as renowned AI pioneers such as Fei-Fei Li and Alexandr Wang, our San Francisco headquarters serve as a hub for global innovation, complemented by a strong presence in APAC from Seoul.We cherish the unique journeys of our team members, believing that diverse cultural, educational, and life experiences fuel our collective creativity. We seek passionate individuals aligned with our mission to reshape technology. Join us in our quest to revolutionize video understanding and the realm of multimodal AI.Your RoleWe are on the lookout for a Staff Security Engineer to bolster our security team. Collaborating closely with our lead security engineer, you'll play a vital role in evolving and scaling our security initiatives. This generalist position offers a wide-ranging scope, encompassing application security, cloud infrastructure, CI/CD pipelines, and addressing AI/ML-specific vulnerabilities.This is not a SOC position; you won't be confined to an alert queue. Instead, you'll be actively engaged in identifying risks, enhancing controls to mitigate those risks, and working collaboratively with engineering and infrastructure teams to integrate security seamlessly into our development processes. As a dynamic AI company, we tackle security challenges that are often unprecedented—securing model weights, ML pipelines, and training infrastructure alongside more traditional domains.If you thrive on addressing emerging threats, enjoy deeply understanding systems, and aspire to make a meaningful impact at a cutting-edge video AI company, this role is tailored for you.Note: U.S. Citizenship is required due to access to systems governed by U.S. government security regulations.Location Requirements: We are currently considering candidates exclusively based in the Pacific Time Zone (PT).Candidates should be prepared to travel up to 10% annually for team meetings and events.
tierzero seeks a Founding Member of Technical Staff to play a key role in building the company’s technology from the earliest stages. This position is based at the San Francisco headquarters and offers the chance to collaborate directly with founders and engineers. Role overview As an early team member, you will help design and develop new products and systems. The work involves close collaboration with others in the office, shaping both the technical direction and the culture of the engineering team. What you will do Develop core technology in partnership with founders and engineers Contribute ideas and code that guide the evolution of tierzero’s products Help define engineering standards and establish best practices Location This position is based onsite at the San Francisco HQ.
At Magic, we are on a mission to create safe AGI that propels humanity forward in tackling the world's most pressing challenges. We believe that the key to achieving safe AGI lies in automating research and code generation, allowing us to enhance models and ensure alignment more reliably than human capabilities alone. Our innovative approach integrates frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context, and advanced inference-time computing to realize this vision.About the Role:We are seeking a passionate individual to spearhead developer experience and data tooling within our pre-training data team. This role involves creating internal tools and infrastructure that enhance team productivity, including dashboards, command-line interfaces (CLIs), data exploration UIs, and the systems that interconnect them.Focusing on developer experience and tooling, we need someone who enjoys solving problems, deploying solutions quickly, and experimenting with new ideas.Potential Projects:Lead tooling initiatives across the architecture: develop systems, implement continuous integration, create CLI utilities, and design internal web interfaces.Design internal tools for dataset exploration, data labeling, quality assessment, and data inventory management.Enhance data infrastructure ergonomics—optimizing IO patterns in Ray/dataflow jobs, improving dataset tracking, and enhancing pipeline observability.Spot opportunities by engaging with the team, understanding their challenges, and proactively refining workflows.Elevate standards for code organization, packaging, and engineering best practices.What We Are Looking For:Preferred QualificationsSolid foundation in software engineering principles.Genuine interest in developer experience and best practices for code organization.Effective communicator, adept at collaborating with teammates to understand their requirements.Proactive mindset—identifies issues and implements solutions.Local to San Francisco (this role requires in-office attendance).Ideal Background (in order of importance)Open source contributor—experience with tools similar to Ruff, uv, or other developer-centric projects.Experience in build systems and CI—has developed or overseen build systems, CI pipelines, or developer tools on a large scale.Data pipeline experience—understanding of optimizing data workflows and data handling.
Listen Labs
Overview: Due to the increasing market demand and a robust six-month product roadmap, Listen Labs is expanding its engineering team. We seek a technically adept individual (our team includes three IOI medalists) who is eager to contribute to a product that is revolutionizing corporate decision-making. If you are passionate about solving intricate problems from start to finish, we invite you to connect with us.About Listen LabsListen Labs is an innovative AI-driven research platform that empowers teams to swiftly extract insights from customer interviews in hours rather than months. Our technology enables clients to analyze conversations, identify recurring themes, and expedite informed product decisions.Company Highlights:Exceptional Team: Composed of seasoned entrepreneurs (with prior AI exits), co-founders, and experts from leading firms such as Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and more, our team is built on a foundation of excellence.Rapid Growth: We are a dynamic team of 40, supported by Sequoia, achieving a remarkable growth trajectory from $0 to $14 million run-rate in less than a year. We prioritize speed, craftsmanship, and collaboration with individuals who embrace ownership.Impressive Traction: We have seen rapid growth across various sectors, securing enterprise clients such as Google, Microsoft, Nestlé, and P&G.Outstanding Performance: Our industry-leading win rate is a direct result of our uniquely differentiated product.Market Validation: We consistently attract customers across every segment, often landing six-figure deals that lead to quick expansions.Viral Product: Our interviews are shared with tens of thousands of viewers, driving product-led growth, organic expansion, and daily inquiries from Fortune 500 companies.Technical Challenges:Research Agent Development: Unlike traditional software purchases, hiring McKinsey involves gaining insights and execution expertise. We are building Listen Labs with that mindset — an AI agent that understands our platform and best research practices, assisting users in project setup, interview execution, and response analysis.Human Database Creation: A core value proposition is our capability to connect users with specific demographics. We are developing a database of millions of individuals, continually enhancing our understanding of user needs as they engage with Listen Labs.
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