Senior Frontend Software Engineer | Product Engineering - San Francisco

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.

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.

Contribute to a Safer World.At TRM Labs, we specialize in cutting-edge blockchain analytics and AI solutions designed to assist law enforcement, national security agencies, financial institutions, and cryptocurrency businesses in identifying, investigating, and preventing crypto-related fraud and financial crimes. Our advanced blockchain intelligence and AI platforms provide essential tools for tracing the flow of funds, detecting illicit activities, building comprehensive cases, and mapping out potential threats. Trusted by top agencies and corporations worldwide, TRM Labs empowers a more secure and reliable environment for everyone.Join our AI Engineering Team, dedicated to pioneering next-generation AI applications with a focus on Large Language Models (LLMs) and agentic systems. We strive to develop high-performance infrastructure, robust pipelines, and operational tools that facilitate the rapid, safe, and scalable deployment of AI systems.Our work involves managing petabyte-scale data pipelines, delivering models with millisecond latency, and ensuring the observability and governance required for production-ready AI. We actively evaluate and integrate state-of-the-art tools in the LLM and agent domains—ranging from open-source stacks to vector databases and orchestration tools—to enhance TRM's innovation capabilities.Your Impact:Design and implement a robust agentic framework that supports tool usage, context retrieval, memory, and planning.Create intelligent, modular agents that automate investigative responsibilities and enhance analyst decision-making.Expand and optimize our LLM infrastructure (e.g., OpenAI, Anthropic, local models), including prompt engineering, RAG, and evaluation cycles.Develop safe, observable, and auditable agent behaviors to ensure reliability in sensitive environments.Assess performance based on metrics like reasoning, latency, success rate, and hallucination, iterating improvements based on user feedback and telemetry data.Foster a culture of ownership, rapid experimentation, and ethical AI practices.Qualifications:Solid engineering background with significant experience in backend or systems development (Python preferred).Practical experience in building LLMs, agents, and tooling frameworks (LangChain, semantic caches, vector databases, etc.).Proficient with AI operational tooling and frameworks, ensuring effective deployment and management.

Join Us in Building a Safer WorldAt TRM Labs, we are at the forefront of blockchain analytics and AI solutions. Our mission is to empower law enforcement, national security agencies, financial institutions, and cryptocurrency companies to detect, investigate, and combat cryptocurrency-related fraud and financial crimes. Our advanced blockchain intelligence and AI platforms provide capabilities to trace funds, identify illicit activities, build solid cases, and construct a comprehensive picture of emerging threats. Trusted globally, TRM is dedicated to fostering a safer and more secure world.The AI Engineering Team is focused on developing next-generation AI applications, emphasizing Large Language Models (LLMs) and agentic systems. We aim to create resilient pipelines, high-performance infrastructures, and operational tools that allow for the swift, safe, and scalable deployment of AI systems.We handle petabyte-scale data pipelines, serve models with millisecond response times, and ensure the observability and governance necessary to make AI production-ready. Our team is committed to evaluating and integrating cutting-edge tools within the LLM and agent space, including open-source stacks, vector databases, evaluation frameworks, and orchestration tools that accelerate TRM's innovation.Your Impact:Design and implement a robust agentic framework that facilitates tool utilization, context retrieval, memory, and planning.Create intelligent, modular agents to automate investigative tasks and enhance analyst decision-making.Extend and scale our LLM infrastructure (e.g., OpenAI, Anthropic, local models), focusing on prompt engineering, retrieval-augmented generation, and evaluation loops.Develop safe, observable, and auditable agent behaviors to ensure reliability in sensitive environments.Assess performance across metrics such as reasoning, latency, success rate, and hallucination, iterating based on user feedback and telemetry.Foster a culture of ownership, rapid experimentation, and ethical AI deployment.

Join Us in Building a Safer World.At TRM Labs, we leverage blockchain analytics and artificial intelligence to empower law enforcement, national security agencies, financial institutions, and cryptocurrency companies in the fight against crypto-related fraud and financial crime. Our innovative platforms provide cutting-edge solutions for tracing fund flows, identifying illicit activities, and constructing comprehensive threat profiles. Trusted by leading agencies worldwide, TRM Labs is on a mission to create a more secure environment for all.As the Engineering Manager for our AI Product Engineering team, you'll redefine how users engage with software, stepping beyond the confines of traditional SaaS. You'll lead a diverse team of frontend, backend, and full-stack engineers to develop tools that empower crime fighters to counter the rise of AI-driven criminal activities. Your work will focus on creating workflows that are not only more autonomous and auditable but also exponentially more effective than existing tools.In this pivotal role, you'll combine technical expertise with people leadership, overseeing projects from conception to scalable production systems. Collaborating closely with teams across Product, Design, and AI, you'll transform vague concepts into intuitive and scalable product experiences.

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.

Join Us in Building a Safer World.At TRM Labs, we leverage blockchain analytics and AI solutions to empower law enforcement, national security agencies, financial institutions, and cryptocurrency businesses in their quest to detect, investigate, and thwart crypto-related fraud and financial crime. Our advanced platforms provide the intelligence needed to trace funds, identify illicit activities, build strong cases, and offer a comprehensive view of emerging threats. Trusted by top-tier agencies and businesses globally, TRM is committed to fostering a safer and more secure world for everyone.We are seeking a talented Senior Frontend Platform Engineer to become a pivotal part of our dynamic Frontend Engineering team. This small yet agile team is dedicated to developing the visualization and rendering systems that drive TRM’s investigative platform. Your work will enable users to navigate complex blockchain activities through interactive graph exploration, entity networks, and data-rich investigative interfaces. In this influential role, you will contribute to the core frontend platform and visualization infrastructure, facilitating analysts in exploring extensive relational datasets and identifying illicit activities on a large scale. As a key early team member, you will focus on high-performance rendering systems, graph visualization, and reusable frontend infrastructure that supports TRM’s investigative workflows.Your Impact:Design and implement the visualization platform that powers TRM’s investigative interfaces, including graph exploration and large-scale data visualization.Develop high-performance rendering systems utilizing technologies such as Canvas, WebGL, and GPU-accelerated rendering to visualize intricate datasets.Create reusable visualization libraries, SDKs, and platform primitives that empower teams across TRM to craft robust data exploration experiences.Engage in technical design discussions and code reviews to enhance architecture, performance, and maintainability.Deepen your understanding of crypto and blockchain investigation workflows to guide product design and platform capabilities.Shape the future of data exploration tools used by investigators and financial institutions worldwide.Qualifications:Proficient in JavaScript and TypeScript with a strong background in building large-scale frontend systems.Experience in developing data-dense web applications, such as analytics platforms and visualization tools.

Contribute to a Safer World.At TRM Labs, we leverage blockchain analytics and AI innovations to empower law enforcement, national security entities, financial institutions, and cryptocurrency enterprises in identifying, investigating, and thwarting crypto-related fraud and financial misconduct. Our advanced blockchain intelligence and AI solutions facilitate the tracing of fund sources and destinations, recognition of illicit activities, case-building, and the development of a comprehensive threat landscape. We are a trusted partner to prominent organizations globally, dedicated to fostering a safer and more secure environment for all.Our AI Engineering Team is focused on pioneering next-generation AI applications, with a particular emphasis on Large Language Models (LLMs) and agentic systems. Our goal is to create resilient pipelines, high-performance infrastructure, and operational tools that ensure AI systems can be deployed with speed, safety, and scalability.We handle petabyte-scale data pipelines, deliver models with millisecond-level latency, and ensure the observability and governance necessary for AI to be production-ready. Our team is actively engaged in assessing and integrating state-of-the-art tools in the LLM and agent ecosystem, including open-source frameworks, vector databases, evaluation methodologies, and orchestration tools that empower TRM to innovate more rapidly than market demands.Your Impact:Design and implement a robust agentic framework that facilitates tool usage, context retrieval, memory integration, and strategic planning.Develop intelligent, modular agents that automate investigative workflows and enhance analyst decision-making capabilities.Expand and optimize our LLM infrastructure (e.g., OpenAI, Anthropic, on-premise models), including prompt engineering, retrieval-augmented generation, and user feedback loops.Create safe, observable, and auditable agent behaviors, ensuring reliability in sensitive operational environments.Assess performance based on metrics such as reasoning efficacy, latency, success rates, and hallucination instances, iterating based on user insights and system telemetry.Foster a culture of ownership, rapid experimentation, and ethical AI deployment.What We Seek:Proven engineering expertise with extensive experience in backend or systems development (Python preferred).Practical experience in building with LLMs, agent systems, and tooling frameworks (LangChain, semantic caches, vector databases, etc.).Strong understanding of AI principles, particularly in relation to agentic systems and LLMs.

Contribute to a Safer Future.TRM Labs is at the forefront of blockchain analytics and AI technology, empowering law enforcement, financial institutions, and cryptocurrency enterprises to identify and combat cryptocurrency-related fraud and financial crime. Our innovative blockchain intelligence and AI tools are designed to trace fund flows, pinpoint illicit activities, build comprehensive cases, and provide actionable insights into potential threats. Trusted by prominent agencies and organizations globally, TRM is committed to fostering a safer and more secure environment for everyone.Join our dynamic AI Engineering Team, dedicated to pioneering next-generation AI applications, with a particular emphasis on Large Language Models (LLMs) and agent-based systems. Our objective is to create efficient pipelines, high-caliber infrastructure, and operational tools that facilitate the rapid, safe, and scalable deployment of AI systems.We oversee petabyte-scale data pipelines, deliver models with millisecond latency, and ensure the observability and governance necessary to make AI production-ready. Our team actively evaluates and integrates cutting-edge technologies in the LLM and agent domains, utilizing open-source stacks, vector databases, evaluation frameworks, and orchestration tools that enhance TRM’s agility and innovation capacity.As a Senior or Staff AI Infrastructure Engineer, you will play a pivotal role in constructing and scaling the technical framework for AI and ML systems. Your responsibilities will include:Developing reusable CI/CD workflows for model training, evaluation, and deployment, integrating tools like Langfuse, GitHub Actions, and experiment tracking systems.Automating model versioning, approval workflows, and compliance checks across various environments.Building a modular and scalable AI infrastructure stack, encompassing vector databases, feature stores, model registries, and observability tools.Collaborating with engineering and data science teams to embed AI models and agents into real-time applications and workflows.Continuously assessing and integrating state-of-the-art AI tools (e.g., LangChain, LlamaIndex, vLLM, MLflow, BentoML).Driving AI reliability and governance, facilitating experimentation while ensuring compliance, security, and uptime.Enhancing the performance of AI and ML models.Ensuring data accuracy, consistency, and reliability for improved model training and inference.Deploying infrastructure to support both offline and online evaluations of LLMs and agents.

Create a Safer World.TRM Labs specializes in blockchain analytics and artificial intelligence solutions designed to assist law enforcement, national security agencies, financial institutions, and cryptocurrency businesses in identifying, investigating, and combating crypto-related fraud and financial crime. Our blockchain intelligence and AI platforms offer innovative tools for tracing the origins and destinations of funds, detecting illicit activities, building comprehensive cases, and visualizing threats. Trusted by top agencies and organizations globally, TRM Labs is committed to fostering a safer, more secure world for everyone.As an AI Engineering Manager on the Product Engineering team, you will redefine how users engage with software by leveraging cutting-edge technologies, free from the constraints of conventional SaaS. You will lead a diverse team of frontend, backend, and full-stack engineers to develop tools that empower crime fighters to effectively address the escalating risks posed by AI-driven criminal activities. Your mission will involve delivering workflows that are more autonomous, auditable, and ten times more efficient than existing SaaS solutions.This position seamlessly blends leadership, technical expertise, and ownership of projects from inception to large-scale production systems. You will work closely with Product, Design, and AI-centric teams to transform vague concepts into user-friendly, scalable product experiences.This role is an ideal match for you if…You are an Engineering Manager who actively contributes by reviewing code, engaging in pull requests when necessary, and maintaining a deep understanding of the architecture.You have a passion for pioneering advancements in AI, experimenting with large language models (LLMs), agents, and tools like Claude Code, and you excel at coordinating multiple agents simultaneously.You thrive in dynamic environments and can turn ambiguities into actionable momentum without relying on detailed project specifications.Engaging with customers excites you, and you leverage those interactions to inform product development.You are dedicated to hiring and motivating exceptional engineers, recognizing that team quality is a critical product decision.You aspire to have genuine ownership over the process, from initial concepts to scalable systems and the culture that supports both.Your impact will include:Leading and nurturing a team of engineers across various disciplines, setting high standards for craftsmanship, delivery speed, and accountability.Taking full ownership of pivotal AI-driven product initiatives from conception through to execution, ensuring high-quality outcomes.

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.

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

About Absentia LabsAbsentia Labs is at the forefront of innovation, creating intelligent systems that integrate artificial intelligence, biology, chemistry, and large-scale engineering. Our mission is to convert intricate scientific data into machine intelligence that can reason, generalize, and foster discovery.We tackle the challenges of fragmented, noisy, and interconnected biomedical data, transforming it into a meaningful signal through robust data foundations and well-designed learning systems that are scalable across different modalities, tasks, and uncertainties. This position emphasizes the design and training of such systems.The RoleAs a Senior AI/ML Engineer, you will spearhead the architecture, training, and deployment of large-scale machine learning models that are central to Absentia Labs’ AI initiatives. Your role will bridge model architecture, training systems, and production infrastructure, granting you significant ownership of the technical direction.This position is tailored for engineers experienced in training large models in real-world production settings, who are adept at navigating scale and can analyze both learning dynamics and system constraints.What You’ll DoDesign, train, and evaluate large-scale models, including Large Language Models (LLMs), diffusion models, and Graph Neural Networks (GNNs).Own end-to-end training pipelines, from dataset interfaces and batching strategies to distributed training and checkpointing.Make informed decisions regarding model architecture, objective functions, optimization strategies, and scaling principles.Develop and enhance distributed training systems (data parallelism, model parallelism, sharding, mixed precision).Collaborate closely with data engineers to establish ML-ready datasets and streaming interfaces.Translate vague scientific or product requirements into solid ML solutions.Lead model assessment, ablation, and iteration with a focus on generalization, stability, and reproducibility.Contribute to architectural decisions concerning model serving, inference efficiency, and lifecycle management.Provide technical leadership through design reviews, mentorship, and cross-functional collaboration.Who You AreYou are a senior ML engineer with a holistic approach to models as systems. You comfortably navigate uncertainty, make informed trade-offs between compute, data, and performance, and take ownership of outcomes from research through to deployment.

Join Us at Pylon Labs: Shaping the Future of B2B Post SalesAt Pylon Labs, we are revolutionizing the B2B post-sales support landscape with our all-in-one platform that leverages conversational data and sophisticated intelligence. Our mission is to empower businesses to operate seamlessly and in real-time.We are proudly backed by top investors including a16z, BCV, General Catalyst, and Y Combinator, and currently support over 1000 companies, including Linear, Cognition (creators of Devin), Modal Labs, and Incident.io, in managing their support and customer success workflows.Recognized on the Enterprise Tech 30 List, our product covers a vast problem space, offering numerous opportunities for innovation and ownership. We are excited to welcome several talented software engineers to our dynamic team.Your Role: What You'll DoDevelop and enhance the infrastructure that drives Pylon's AI capabilities, including prompt execution and search infrastructure.Elevate the observability of LLMs through comprehensive AI evaluations, and prepare Pylon's AI for scalable growth.Enhance the quality and performance of our AI features.Are You the Right Fit?You prefer focusing on building and delivering code over excessive meetings.You possess solid engineering fundamentals, code efficiently, and are aware of your strengths and areas for growth.You excel in autonomous environments where you can manage your own projects and details.You are located in San Francisco or willing to relocate, enjoy in-person collaboration, and are committed to fostering a vibrant company culture.Familiarity with React, Golang, GraphQL, and AWS is a plus.Join a team of seasoned engineers from prestigious companies such as Samsara, Affinity, and Airbnb.Our Benefits Comprehensive medical, dental, and vision coverage for employees 401(k) retirement plan Commuter benefits Parental leave 14 company holidays plus unlimited PTO

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 Us in Building a Safer Financial System.At TRM Labs, we are at the forefront of blockchain analytics and AI technology, dedicated to empowering law enforcement, national security, financial institutions, and cryptocurrency businesses in the fight against crypto-related fraud and financial crime. Our advanced platforms leverage blockchain intelligence and AI to trace the flow of funds, identify illicit activities, build robust cases, and provide a comprehensive understanding of threats. Trusted globally, TRM Labs is committed to creating a safer and more secure environment for everyone.Our mission is to develop an innovative financial system that benefits billions around the globe. By integrating threat intelligence with machine learning, our next-generation platform enables institutions and governments to detect cryptocurrency fraud and financial crimes on an unmatched scale.As a Machine Learning Infrastructure Engineer at TRM Labs, you will collaborate with a talented team of data scientists, engineers, and product managers. Your role will involve designing and maintaining scalable GPU-powered infrastructure that supports our AI systems. You will work at the intersection of distributed systems, cloud infrastructure, and applied machine learning, laying the groundwork for high-throughput, production-level ML workloads.

About Resolve AIAt Resolve AI, we are redefining the role of software maintenance and production troubleshooting by creating a revolutionary, fully autonomous AI Production Engineer. Our technology is designed to diagnose and resolve intricate system issues from start to finish.Founded by industry leaders Spiros Xanthos and Mayank Agarwal, who are the masterminds behind OpenTelemetry and have previously spearheaded initiatives at Splunk Observability, our team boasts two successful exits to Splunk and VMware.Having successfully secured over $150M in funding from prestigious investors like Lightspeed, Greylock, and Unusual Ventures, alongside notable individuals such as Jeff Dean (Chief Scientist, Google DeepMind) and Fei-Fei Li (Professor, Stanford), we are well-positioned for growth.Joining Resolve AI now presents a unique opportunity to be part of an AI-driven company that is at the forefront of transforming engineering workflows.

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 Handshake Handshake connects over 20 million knowledge workers with 1,600 educational institutions and 1 million employers, including every Fortune 50 company. The platform supports career growth and upskilling by bridging students, educators, and employers. Handshake has seen rapid expansion, tripling its Annual Recurring Revenue (ARR) by 2025. Why Work at Handshake? Shape the future of careers in the AI economy at a global level. Collaborate with top AI labs, Fortune 500 companies, and leading educational institutions. Work alongside experienced professionals from organizations such as Scale AI, Meta, xAI, Notion, Coinbase, and Palantir. Contribute to a company with significant growth and revenue potential. Role Overview: AI Research Engineer Design and build advanced post-training systems in partnership with research scientists and domain experts. Develop and maintain infrastructure for large-scale model training and specialized data processing. Create frameworks to verify the quality and integrity of domain-specific datasets. Develop benchmarks for large language models to improve evaluation and capability assessments. Optimize software and hardware performance to accelerate post-training experiments and deployment. Work across teams to ensure thorough validation of model improvements. Location San Francisco, CA