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

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

Contribute to a Safer World.At TRM Labs, we specialize in blockchain analytics and AI solutions tailored for law enforcement, national security agencies, financial institutions, and cryptocurrency businesses. Our mission is to empower organizations to detect, investigate, and mitigate crypto-related fraud and financial crime. Our advanced blockchain intelligence and AI platforms provide comprehensive tools for tracing the flow of funds, identifying illicit activities, building strong cases, and creating a cohesive operational picture of potential threats. Trusted by prominent agencies and businesses globally, TRM is dedicated to fostering a safer, more secure world for everyone.As an AI Research Engineer, you will be a vital member of our AI Engineering team, which is dedicated to refining model selection, fine-tuning, and evaluation strategies for large-scale AI systems. In this senior individual contributor role, you will spearhead technical initiatives aimed at enhancing model performance and orchestration, thereby directly influencing the competitiveness of our AI Engineering platform.Your Impact:Design, develop, and take ownership of a production-grade evaluation system that leads to measurable advancements in model accuracy and latency.Lead experimentation processes, fine-tuning efforts, and feedback-driven evaluation loops to continuously optimize models.Enhance the orchestration of AI/ML systems to guarantee scalable, resilient, and high-impact deployments.Raise technical standards through engineering excellence, mentorship, and leadership as a senior individual contributor.Qualifications We Seek:Proven advanced programming skills in Python and SQL, complemented by strong system design abilities.Extensive experience in deploying machine learning/deep learning models in production environments (experience with LLM/GenAI is highly preferred).Solid understanding of experimentation frameworks, evaluation metrics, and ML Ops best practices.Demonstrated capability to manage critical systems end-to-end while effectively collaborating with cross-functional teams.About Our Team:Our AI Engineering team fosters a collaborative and interdependent environment, promoting an inclusive culture where connections go beyond professional interactions. We value diverse perspectives and are looking for individuals who are results-oriented and personable, possessing strong communication, leadership, and teamwork skills, combined with a positive, solutions-focused attitude.As a globally distributed team, members may observe varied time zones, allowing for flexible collaboration.

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

At Judgment Labs, we are revolutionizing the monitoring of agent behavior through our innovative infrastructure for Agent Behavior Monitoring (ABM). Unlike traditional observability metrics focused solely on logging exceptions and latency, our approach identifies behavioral anomalies including instruction drifts and context retrieval losses within scaled production environments.Numerous teams developing autonomous agents depend on Judgment Labs to gain insights into their systems' performance after deployment. Rather than merely reacting to incidents, they can cluster patterns across conversations and workflows, correlate regressions with specific interaction types, and accurately identify where reliability falters in their operational contexts.We are proud to announce that we have raised over $30 million in two funding rounds over the last five months. Our esteemed investors include Lightspeed, SV Angel, Valor Equity Partners, Nova Global, and notable individuals like Chris Manning and Michael Ovitz.The Role:We seek passionate Research Engineers to help us develop AI systems that utilize agent interaction data to enhance our understanding of agent behavior, facilitate large-scale evaluations, and drive improvements through iterative learning and feedback.Your research will have a tangible impact. You will engage directly with real-world agent data, implement cutting-edge methodologies in production, and witness your contributions being deployed in real-time. By enhancing the measurability and debuggability of agent behavior, your work will empower teams across finance, legal, operations, and other critical domains. You will lead projects from inception to completion, enjoying substantial autonomy while collaborating closely with our team to create self-improving agent systems.What You'll Do:Develop systems that aggregate, index, and analyze extensive agent interaction data to derive valuable evaluation metrics.Create agent-based systems for the analysis and evaluation of complex, long-term behaviors.Design and execute post-training and optimization workflows aimed at enhancing agent performance.Build internal tools and infrastructure that promote rapid experimentation, analysis, and training.What We're Looking For:You should resonate with at least one of the following:A strong focus on data quality, evaluation, and benchmarking, with a hands-on approach to working with complex datasets.Experience in developing agent systems and applying them in real-world or production environments.A robust background in machine learning or related fields, with an eagerness to advance agent technology.

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

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

Join our dynamic team at unto-labs as a Product Engineer where you will be at the forefront of innovation. In this role, you will design, develop, and enhance our cutting-edge products while collaborating with cross-functional teams. Your contributions will directly impact the product lifecycle, from conceptualization to deployment.

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

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

Overview: We’re expanding our Insight Strategist team and are seeking a Senior Research Manager to empower our clients to realize the full potential of Listen Labs. In this pivotal role, you will collaborate directly with product, research, and marketing leaders at some of the most innovative organizations globally, transforming data into actionable business insights.About Listen Labs: Listen Labs offers an AI-driven research platform that enables teams to extract valuable insights from customer interviews in mere hours. Our platform aids in analyzing conversations, identifying key themes, and facilitating quicker, more informed product decisions.Why Join Us?Exceptional Team: Our founding team consists of serial entrepreneurs with a proven track record in AI, as well as talent from renowned companies such as Jane Street, Twitter, Stripe, Affirm, Bain, and Goldman Sachs, among others.Rapid Growth: As a 40-member team backed by Sequoia, we achieved a remarkable $14M run-rate within our first year, emphasizing our commitment to excellence and ownership.Strong Market Traction: We are experiencing swift growth with significant enterprise wins at industry giants like Google, Microsoft, Nestlé, and P&G.Performance Excellence: Our unique product offering has led to an industry-leading win rate.Market Validation: We consistently secure clients across various segments, often resulting in six-figure contracts that lead to rapid expansions.Viral Insights: Our interviews reach tens of thousands of viewers, promoting product-led growth and attracting interest from Fortune 500 companies.Your Responsibilities:Establish trusted relationships with product, research, and insights leaders, assisting them in integrating customer feedback with their business strategies.Lead onboarding and training initiatives to ensure clients swiftly grasp and utilize the platform.Analyze qualitative and quantitative data, identify patterns, and produce insightful briefs, dashboards, and presentations that drive strategic decisions.Act as a strategic partner, proactively identifying opportunities to enhance usage, expand to new teams, and refine metrics for customer success.Collaborate with internal teams (Product, Engineering, Sales) to advocate for the customer perspective and enhance platform features.

Join Pylon Labs and Shape the Future of B2B Post Sales!At Pylon, we are revolutionizing B2B post-sales support with an all-inclusive platform that leverages conversational data and advanced intelligence, empowering our clients to manage their operations seamlessly in real-time.Supported by leading investors including a16z, BCV, General Catalyst, and Y Combinator, we proudly serve over 1,000 companies such as Linear, Cognition (creators of Devin), and Modal Labs, who trust us to streamline their support and customer success workflows. We are also honored to be featured on the Enterprise Tech 30 List.This role is fully in-person; remote or hybrid options are not available. Your RoleEngage directly with customers while developing bespoke solutions.We seek a former Software Engineer who appreciates the power of automation—complete a task once and automate it, never to revisit it.Facilitate the migration of new customers from their legacy support systems to Pylon.Lead customer migration meetings within your first week.Serve as the primary 'problem-solver' for customers as they transition to Pylon, guiding them through the reconstruction of their processes and data.Become a product expert and assist customers in identifying the most suitable solutions, even when they may not initially understand their needs.Participate in pre-sales calls, showcasing your expertise in potential solutions.Develop proficiency not only in Pylon but also in the systems we are migrating from (e.g., Zendesk, Intercom).Manage multiple customer migrations simultaneously, ensuring timely completion.Continuously refine and enhance the migration process.RequirementsMust be located in or willing to relocate to San Francisco and eager to work on-site.Highly organized and quick to adapt; you’ll be managing multiple migrations concurrently.Detail-oriented with a strong capacity to learn rapidly; you will need to master various tools promptly.A passion for product innovation and the ability to suggest enhancements.Our BenefitsWe offer a vibrant work culture with numerous perks to enhance your experience.

Join Our Team at Pylon Labs!At Pylon, we are on a mission to redefine the B2B post-sales landscape. Our innovative all-in-one platform leverages conversational data and advanced intelligence to empower our clients to manage their operations seamlessly and in real-time.Pylon is proudly backed by top-tier investors including a16z, BCV, General Catalyst, and Y Combinator.Today, over 1000 companies, including notable names like Linear, Cognition (the team behind Devin), Modal Labs, and Incident.io, rely on Pylon for their support and customer success workflows. We are also honored to be featured on the Enterprise Tech 30 List.Our product encompasses a vast problem space, presenting numerous opportunities for impactful contributions. We are eager to bring on board several exceptionally skilled software engineers across various tech stacks.Are You the Right Fit?You prefer coding over meetings and are committed to delivering high-quality work.You possess strong engineering fundamentals, write efficient code, and understand your strengths and areas for growth.You thrive on autonomy and take ownership of your projects.You are located in San Francisco or are willing to relocate, and you value in-person collaboration to foster a vibrant company culture.Familiarity with React, Golang, GraphQL, and AWS is a plus.You will be joining a highly skilled technical team with senior engineers from respected organizations such as Samsara, Affinity, and Airbnb.Perks of Joining Pylon Comprehensive medical, dental, and vision coverage for employees. 401(k) retirement plan with company match. Commuter benefits to ease your travel. Generous parental leave. 14 company holidays and unlimited paid time off. Annual offsite retreats. Free lunch, dinner, and snacks at the office to fuel your day. Fitness stipend to support your well-being.About Pylon LabsFunding: Series B led by a16z and BCV, with a total of $51M raised.Founders: [Details about the founders].

Join Pylon Labs and Shape the Future of B2B Post Sales!At Pylon, we are on a mission to revolutionize B2B post-sales support with our all-in-one platform that leverages conversational data and advanced intelligence. Our goal is to empower our clients to manage their operations seamlessly in real-time.Backed by leading venture capital firms including a16z, BCV, General Catalyst, and Y Combinator, we proudly serve over 1,000 companies, such as Linear, Cognition (Windsurf), and Modal Labs, who rely on Pylon for their support and customer success workflows. Discover more about us on the Enterprise Tech 30 List.This position is fully in-person at our San Francisco office; we do not provide remote or hybrid work options.Your RoleYou will manage the complete migration process for our clients, which encompasses translating their existing workflows, enabling their teams, and assisting with the transfer of historical data.We believe in utilizing our products ourselves; thus, you will develop strong fluency in our platform. By the end of your first week, you will be fully equipped to guide both yourself and others in using Pylon effectively.As the primary expert on Pylon implementations, you will also gain in-depth knowledge of legacy support systems such as Zendesk and Intercom that we transition customers away from.You will be the first point of contact for customer inquiries related to our product, addressing questions ranging from simple how-tos to intricate edge cases.Handle multiple customer migrations simultaneously, ensuring successful outcomes; currently, we boast zero failed migrations, and we intend to maintain this record.QualificationsMust be located in or willing to relocate to San Francisco and enthusiastic about working on-site.Highly organized, diligent, and swift; you will manage over 20 migrations concurrently.Comfortable engaging with customers via chat and video regularly.A collaborative team player; our Solutions Engineering team is small yet impactful. We thrive on collective efforts, valuing the best ideas regardless of their origin.Detail-oriented with the capacity to learn rapidly; you will need to master various tools quickly.

Join Us in Building a Safer Financial Future.At TRM Labs, we leverage blockchain analytics and AI technologies to empower law enforcement, national security agencies, financial institutions, and cryptocurrency enterprises in their battle against crypto-related fraud and financial crime. Our robust blockchain intelligence and AI solutions are designed to trace funds, identify illicit activities, construct cases, and provide comprehensive threat assessments. Trusted by leading global organizations, TRM Labs is dedicated to fostering a safer and more secure world.As part of our Data Platform team, you will work alongside a talented group of data scientists, engineers, and product managers to create highly available and scalable data infrastructure essential for TRM's products and services. In the role of Engineering Manager, you will spearhead the development of mission-critical systems and data services that analyze blockchain transaction activities at an unprecedented petabyte scale, contributing to a safer financial ecosystem for millions.Your Impact:Lead and mentor a dynamic team of skilled engineers, fostering a culture of technical excellence and collaboration.Provide ongoing coaching and technical guidance to your team and the broader engineering department.Assume responsibility for the quality and timely delivery of your team’s projects, ensuring optimal performance and reliability of critical services.Drive initiatives based on defined goals and measurable outcomes, aligning with key performance indicators (KPIs).Promote best practices in design and usability, developing scalable solutions accompanied by thorough documentation and knowledge sharing.Address escalations from operations and collaborate with various teams to resolve production incidents effectively.Work closely with management and product teams to strategize, estimate, and prioritize roadmap objectives, while identifying upcoming opportunities and risks.Develop highly reliable data services that integrate seamlessly with numerous blockchain protocols.Create and manage ETL pipelines that process and transform petabytes of structured and unstructured data in real time.Design efficient data models for optimal storage and retrieval, ensuring sub-second latency for querying blockchain data.Oversee the deployment and monitoring of large database clusters, ensuring high performance and availability.Collaborate cross-functionally with data scientists and backend engineers to deliver exceptional solutions.

Join Pylon Labs and Shape the Future of B2B Post-Sales!At Pylon Labs, we are pioneering an all-in-one B2B post-sales support platform that leverages conversational data and advanced intelligence to empower our clients to operate seamlessly in real-time.Backed by renowned investors like a16z, BCV, General Catalyst, and Y Combinator, we proudly serve over 1000 companies, including industry leaders such as Linear, Cognition (creators of Devin), Modal Labs, and Incident.io. We are also featured on the prestigious Enterprise Tech 30 List.This position requires full-time, in-person commitment; we do not offer remote or hybrid arrangements.

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.

Join Pylon Labs: Pioneering B2B Post-Sales SolutionsAt Pylon, we are at the forefront of innovation, creating a comprehensive B2B post-sales support platform that harnesses conversational data and advanced intelligence. Our mission is to empower our clients to manage their operations seamlessly in real-time.With backing from renowned investors such as a16z, BCV, General Catalyst, and Y Combinator, we are proud to support over 1,000 companies, including Linear, Cognition (creators of Devin), Modal Labs, and Incident.io, in streamlining their customer success workflows with our platform. We are also honored to be featured on the Enterprise Tech 30 List.Your Role and ResponsibilitiesDevelop and integrate security features within the product such as audit logging, RBAC, SCIM, SAML, and more.Oversee security review processes, including SOC 2, ISO 27001, HIPAA compliance, and bug bounty programs.Act as the security expert in pre- and post-sales discussions.Facilitate rapid development while ensuring robust security measures are upheld.Lead projects from customer requests through design to deployment.Who You AreYou have experience in building or shipping security features.You have contributed to security and compliance initiatives in a startup or dynamic environment.You are adept at engaging with customers and clarifying technical decisions.You excel when given autonomy, taking ownership of projects, and managing your own tasks.You are located in San Francisco or are open to relocating, enjoy in-person collaboration, and are committed to fostering a positive workplace culture.You are proficient in technologies such as React, Golang, GraphQL, and AWS.You will be joining a skilled technical team of senior engineers from prestigious companies like Samsara, Affinity, and Airbnb.Perks of Working with Us Comprehensive medical, dental, and vision coverage for employees 401(k) retirement savings plan Commuter benefits Generous parental leave 14 company holidays plus unlimited PTO Annual team offsite

Join Us at Pylon as a Software Engineer - AI AgentsAt Pylon, we are revolutionizing the B2B post-sales landscape. Our comprehensive platform, driven by conversational data and advanced intelligence, empowers businesses to operate seamlessly in real-time.Supported by notable investors such as a16z, BCV, General Catalyst, and Y Combinator, we proudly serve over 1000 companies, including Linear, Cognition, Modal Labs, and Incident.io. Our inclusion in the Enterprise Tech 30 List shines a light on our impact.With a vast problem domain, we are eager to expand our team of talented software engineers to tackle the exciting challenges ahead. Your contributions will directly influence the development of our innovative solutions.Your RoleDevelop and implement the next generation of AI features at Pylon, swiftly adapting based on user feedback.Enhance the quality and efficiency of existing AI functionalities.Are You the Right Fit?If you prefer coding over meetings and value productivity, you might fit right in.Strong engineering fundamentals and efficient coding skills are essential.Autonomy excites you; you enjoy owning details and managing your projects.Located in San Francisco or willing to relocate? We value in-person collaboration as we cultivate a vibrant team culture.Our tech stack includes React, Golang, GraphQL, and AWS.Join a team of experienced engineers from prestigious companies like Samsara, Affinity, and Airbnb.What We Offer Comprehensive medical, dental, and vision coverage for employees 401(k) retirement plan Commuter benefits Parental leave 14 company holidays plus unlimited PTO Annual offsite retreats Meals and snacks provided at the office Fitness stipend

Merge Labs is an innovative research laboratory dedicated to harmonizing biological and artificial intelligence, aiming to enhance human capabilities, autonomy, and overall experience. Our focus is on pioneering groundbreaking brain-computer interface technologies that interact with the brain at high bandwidth, seamlessly integrate with advanced AI systems, and ensure safety and accessibility for all users.About the Team:Our Bio team is at the forefront of designing, constructing, and evaluating the biotechnological foundations necessary for next-generation brain-computer interfaces. We employ a multidisciplinary approach, merging molecular engineering, synthetic biology, neuroscience, and advanced techniques such as ultrasound to create less invasive, high-bandwidth connections with neurons. The Bio team focuses on developing core molecular technologies, validating their efficacy both in vitro and in vivo, and showcasing their advanced capabilities through animal models. We create bespoke experimental setups and workflows, collaborating closely with engineers and data scientists to tackle some of the most demanding challenges in biotechnology.About the Role:As a Research Associate, you will be part of a multidisciplinary team driving critical biological research at Merge Labs, with two distinct tracks:Science-Track RAs engage directly in active scientific programs, collaborating closely with scientists to design, implement, and refine experiments across various fields such as protein engineering, cell biology, synthetic biology, neuroscience, and translational biology. Your experimental work will directly influence experimental decisions, execution, and technical strategies. This track is specifically structured to identify and nurture high-potential early-career scientists, facilitating their progression towards independent scientific roles.Platform-Track RAs focus on developing and maintaining the essential experimental capabilities that support ambitious scientific endeavors at scale. You will collaborate with platform leaders to operate, enhance, and innovate foundational workflows. This track values precision, systems thinking, and profound technical expertise, allowing you to transform delicate or custom experiments into robust, high-quality pipelines that propel the entire organization forward. This track offers a gratifying, long-term career path for individuals who excel in supporting research.In this Role, You Will:Conduct experiments in one or more domains, including:Molecular biology (cloning, CRISPR, etc.)