Senior / Principal ML Engineer at Merge Labs | San Francisco

Merge Labs is a pioneering research laboratory dedicated to uniting biological intelligence with artificial intelligence, aiming to enhance human potential, autonomy, and overall experience. We are innovating groundbreaking methods for brain-computer interfaces that facilitate high-bandwidth interactions with the brain, seamlessly integrate advanced AI, and …

Merge Labs stands at the forefront of research, dedicated to integrating biological and artificial intelligence to enhance human capabilities, autonomy, and experiences. Our innovative approach focuses on developing groundbreaking brain-computer interfaces that operate at high bandwidth, seamlessly integrate with advanced AI technologies, and ensure safety and accessibility for all users.About Our TeamOur Core Software team at Merge is instrumental in constructing the software infrastructure that will empower the next wave of neuroscience. We are tasked with designing, implementing, and maintaining systems that transform experimental data into actionable insights—reliably, reproducibly, and on a large scale. Our audience includes biologists, clinicians, neuroscientists, and machine learning researchers. Our objective is clear: to create secure and efficient systems that accelerate scientific progress. As trusted partners in science, we uphold the highest software integrity standards, establish data collection and analysis interfaces, and democratize scientific data access across our organization.Position OverviewIn the role of Senior Application Engineer, you will be a pivotal member of our team, responsible for defining and developing the core application utilized by scientists, clinicians, and collaborators to interact with our specialized multi-modal hardware product. Collaborating closely with our hardware team, you will explore the possibilities, design intuitive user interfaces for clinicians, and craft efficient tools for our research scientists. This position, which reports to the Head of Software, is highly collaborative, engaging with data engineers to leverage our cutting-edge data platform and offer low-code and no-code solutions for complex laboratory workflows. You will cater to a diverse user base—from hardware engineers needing flexible, high-performance APIs to external research partners requiring user-friendly interfaces with built-in safeguards. A meticulous approach and a commitment to ethical software development are essential, as every user interaction must exemplify the highest standards of scientific practice.Key ResponsibilitiesDevelop software solutions enabling scientists to create tailored 3+1D treatment plans that combine functional ultrasound imaging with targeted ultrasound neuromodulation.Integrate ultrasound, microscopy, gantry, and other automation APIs into a cohesive application for executing both unique experiments and high-throughput screening.Collaborate with cross-functional teams to ensure alignment of technical solutions with user needs and safety standards.

At Merge Labs, we are at the forefront of research, dedicated to merging biological and artificial intelligence to enhance human potential, agency, and experience. Our innovative journey focuses on pioneering brain-computer interfaces that communicate with the brain at high bandwidth, integrating cutting-edge AI technologies while ensuring safety and accessibility for all users.About Our TeamThe Merge team is committed to addressing the most ambitious challenges in molecular engineering, synthetic biology, and neuroscience. Our Research Platform Team is tasked with constructing the experimental capabilities essential for swiftly and rigorously tackling these issues. We create instruments and pipelines that expedite molecular assembly, protein expression, mammalian cell culture, advanced microscopy, and sequencing, along with some unique custom methods. Collaboration with various program teams is key to establishing and optimizing these capabilities, automating processes where beneficial, and integrating with our data science and machine learning frameworks. Our innovative approaches are designed to significantly enhance throughput and drive continuous advancement.Role OverviewAs an Automation Engineer, you will play a critical role in developing automation pipelines to accelerate our key research initiatives. This position will utilize your existing technical and scientific knowledge while challenging you to quickly adapt to new scientific fields and develop additional experimental capabilities. You will work closely with program leads, project scientists, data scientists, and engineers to collaboratively design, implement, and scale research pipelines. This position requires independent work and may involve recruiting additional team members to support various projects.Key Responsibilities:Collaborate with program leads and project scientists to identify automation requirements and strategies.Leverage biological contexts and experimental insights to inform automation strategies and execution.Design, acquire, construct, program, and validate instrumentation and software, providing training to project teams.Ensure the quality, reliability, and integrity of data produced by automated pipelines, including establishing and integrating QC checkpoints.Work with data science and machine learning engineers to integrate metadata tracking, computational design, and analysis into experimental workflows.Collaborate with electrical, mechanical, and software engineers to streamline automation processes.

At Merge Labs, we are pioneering research at the intersection of biological and artificial intelligence, aiming to enhance human potential, autonomy, and experience. Our innovative approach focuses on developing cutting-edge brain-computer interfaces that communicate with the brain at high bandwidth, seamlessly integrate with advanced AI, and are designed to be safe and accessible for everyone.About Our TeamThe Lab Operations team serves as the essential operational foundation of Merge Labs, overseeing the complete lifecycle of our R&D environment—from the conceptualization and construction of our physical infrastructure to its large-scale operation. Our responsibilities encompass Equipment Management, Safety, Lab Facilities, Procurement, and Logistics, ensuring that the laboratory operates without a hitch. We view our operations role as a driving force, with a mission to establish a top-tier Lab Operations System that not only empowers our scientists and engineers but also accelerates their progress through optimal integrated systems and operational excellence.Key Responsibilities:Manage daily lab operations by executing essential tasks that keep the lab organized and functional—overseeing bench organization, glassware management, reagent and media inventory, and maintaining the meticulous upkeep necessary for a high-performing wet lab.Ensure accurate lab systems by logging equipment into asset databases, completing maintenance tracking sheets, and conducting inventory counts while adhering to our scheduled protocols to reflect real-time operations.Implement the equipment management strategy, which includes tagging new assets, updating the database, and scheduling preventive maintenance to maintain the accuracy of our operational records. This includes hands-on work such as running instrument calibrations, executing scheduled freezer defrost cycles, and routine equipment maintenance to keep the lab operational.Support the lab's supply chain by placing orders, receiving and logging shipments, restocking workstations and cold storage, and proactively identifying low inventory levels before they impact operations.Uphold a safe working environment by conducting daily facility checks—such as walkthroughs and hazard assessments—to ensure compliance with safety protocols.

Merge is at the forefront of providing cutting-edge agentic tools and customer-facing integrations tailored for advanced LLMs, Fortune 500 companies, and B2B SaaS solutions. Our platform features two primary offerings: Merge Unified, which allows businesses to seamlessly incorporate hundreds of integrations through a single API, and Merge Agent Handler, designed to grant AI agents secure access to a plethora of third-party tools. Our enterprise-grade platform encompasses the full integration lifecycle, from authentication and security to continuous monitoring and maintenance. Trusted by thousands of companies, Merge accelerates product development, removes sales obstacles, mitigates customer churn, and conserves engineering resources, enabling teams to concentrate on their core products. Who are we looking for?We are seeking both backend and full-stack engineers to join our two engineering teams located in San Francisco. Our Foundations team develops Merge's infrastructure to achieve unprecedented levels of scalability, performance, and reliability. Simultaneously, our Automation team leverages Applied AI and large language models (LLMs) to create innovative, externally-facing products and enhance internal efficiencies through automation, intelligent tooling, and AI-native user experiences. We are hiring for mid- to staff-level positions, with evaluations based on relevant experience and interview performance. What you will do:Engage in roadmapping and architectural discussionsWrite high-quality, production-ready, maintainable, and readable codeLead substantial projects from initial conception to productionProvide support and unblock your team consisting of engineers, designers, product managers, and business operators

At Merge Labs, we are at the forefront of scientific innovation, dedicated to harmonizing biological and artificial intelligence to enhance human potential and experiences. Our mission is to pioneer groundbreaking brain-computer interface technologies that communicate with the brain at unprecedented speeds, integrate seamlessly with advanced AI, and ensure safety and accessibility for all users.About Our Team:Our team is committed to transforming advanced brain-computer interface visions into tangible algorithms. By integrating knowledge from synthetic biology, neuroscience, device physics, signal processing, and machine learning, we create effective methodologies to connect human intelligence with artificial intelligence. Our work involves designing experiments, developing analytical frameworks, collecting data, training models, and optimizing performance to construct scalable Brain-AI systems. We prioritize urgency while maintaining a balance between creative exploration and engineering rigor, as we believe that enhancing human ability, agency, and experience is one of the most pressing challenges of our era.Role Overview:As the most senior data engineer on our team, you will take charge of the data pipelines that capture, process, and deliver the essential data driving Merge’s molecular optimization platform. Your role will include converting diverse laboratory outputs into structured, queryable datasets that enable scientific analysis and closed-loop machine learning. Collaborating closely with experimentalists, you will establish data standards and metadata conventions, and work alongside ML engineers to ensure results are integrated into production-grade systems.This position reports to the Head of Software and involves extensive cross-functional collaboration—spanning software engineering, data architecture, and scientific informatics. As part of the Core Software team, you will be supported by infrastructure specialists and will coordinate with the Application Development Lead to ensure comprehensive scientific and user input capture.Your Responsibilities Include:Developing and maintaining ingestion pipelines from laboratory instruments into centralized data storage.Designing schemas and capturing metadata standards for experimental data.Implementing post-processing pipelines to generate analysis-ready datasets for our scientific teams.Setting up monitoring, alerting, and structured logging for data pipelines to ensure optimal operation.

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.)

At Merge Labs, we are at the forefront of research, dedicated to merging biological and artificial intelligence to enhance human capabilities and experiences. Our innovative journey involves crafting revolutionary brain-computer interfaces that communicate with the brain at high bandwidth, integrate with cutting-edge AI technologies, and are designed to be safe and accessible to all.About Our Team:We are pioneering the next wave of brain-computer interfaces by leveraging breakthroughs in synthetic biology, neuroscience, AI, and non-invasive imaging. To propel this mission, we are assembling a multidisciplinary data science team that intersects computational modeling, neuroscience, and biomolecular engineering. This team collaborates closely with wet-lab scientists, automation engineers, and data engineers to develop machine learning frameworks that expedite molecule discovery and enhance device optimization.Role Overview:We are seeking a Senior/Principal ML Scientist to architect and scale de novo design frameworks that steer molecular engineering initiatives through iterative design-build-test-learn (DBTL) cycles. Initially, you will establish the company’s closed-loop optimization infrastructure, developing the data and modeling frameworks that link experiments to these machine learning systems. As the role progresses, you will play a vital role in transitioning these prototypes into operational pipelines that significantly boost experimental throughput and success in biomolecular and neuroengineering domains.Key Responsibilities:Develop scientific and engineering frameworks in partnership with data engineering and MLOps for de novo design and closed-loop optimization, encompassing data ingestion, ML modeling, and library architecture.Work alongside wet-lab scientists to establish feasible optimization goals and incorporate domain-specific priors and constraints.Prototype de novo design frameworks utilizing both internal and public datasets; evaluate and validate model efficacy.Integrate ML models with experimental data streams, facilitating accessibility for non-expert users.Expand ML frameworks to accommodate multi-objective or constrained optimization challenges.Stay abreast of advancements in de novo design research and prototype innovative algorithms to enhance the company’s discovery and development processes.

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.

Merge stands at the forefront of technology, providing innovative agentic tools and seamless customer-facing integrations for leading frontier LLMs, Fortune 500 companies, and B2B SaaS enterprises. Our platform features two flagship products: Merge Unified, which enables businesses to effortlessly integrate hundreds of applications through a single API, and Merge Agent Handler, which equips AI agents with secure access to a multitude of third-party tools. Renowned for its enterprise-grade capabilities, Merge oversees the entire integration lifecycle—from authentication and security to monitoring and maintenance. Countless organizations rely on Merge to enhance product development, streamline sales efforts, reduce customer attrition, and conserve engineering resources, allowing them to concentrate on their core offerings. Who are we looking for?We are seeking a proactive Solutions Engineer who will take charge of all technical interactions with prospects during their evaluation and deployment of Merge’s solutions. This role involves creating proofs of concept, providing technical demonstrations, and collaborating with engineering and platform teams to prioritize feature enhancements and resolve issues. As a Solutions Engineer, you will engage in high-value projects that command significant visibility both internally and externally.What you will do:Serve as the primary technical point of contact for prospects as they evaluate and implement Merge through proofs of concept and technical workshops.Develop and nurture relationships to ensure an exceptional developer experience.Collaborate with engineering and platform teams to identify product improvement opportunities based on insights gathered from prospects.Lay the groundwork for the rapid expansion of a successful solutions engineering team!

About UsAt Lemurian Labs, we are dedicated to democratizing AI technology while prioritizing sustainability. Our mission is to create solutions that minimize environmental impact, ensuring that artificial intelligence serves humanity positively. We are committed to responsible innovation and the sustainable growth of AI.We are in the process of developing a state-of-the-art, portable compiler that empowers developers to 'build once, deploy anywhere.' This technology ensures seamless cross-platform integration, allowing for model training in the cloud and deployment at the edge, all while maximizing resource efficiency and scalability.If you are passionate about scaling AI sustainably and are eager to make AI development more powerful and accessible, we invite you to join our team at Lemurian Labs. Together, we can build a future that is innovative and responsible.The RoleWe are seeking a Senior ML Performance Engineer to take charge of designing and leading our Performance Testing Platform from inception. In this pivotal role, you will be recognized as the technical expert in measuring, validating, and enhancing the performance of large language models (including Llama 3.2 70B, DeepSeek, and others) prior to and following compiler optimization on cutting-edge GPU architectures.This is a critical position that will significantly impact our product quality and customer success. You will work at the intersection of Machine Learning systems, GPU architecture, and performance engineering, constructing the infrastructure that substantiates the value of our compiler.

Who We AreAt Twelve Labs, we are at the forefront of creating innovative multimodal foundation models capable of understanding videos as humans do. Our groundbreaking models have set new benchmarks in video-language modeling, enhancing our capabilities and fundamentally changing how we engage with and interpret diverse media formats.Backed by an impressive $107 million in Seed and Series A funding, our organization enjoys support from prestigious venture capital firms including NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, along with visionary leaders in AI such as Fei-Fei Li, Silvio Savarese, and Alexandr Wang. With our headquarters in San Francisco and a significant presence in Seoul, our global reach reflects our dedication to fostering innovation worldwide.We celebrate the individual journeys of our team members, recognizing that our diverse cultural, educational, and life experiences enable us to continuously challenge the status quo. We seek passionate individuals who resonate with our mission and are eager to create a meaningful impact as we expand the horizons of technology to reshape the world. Join us in our quest to revolutionize video comprehension and multimodal AI.About the RoleAs a Senior Backend Software Engineer at Twelve Labs, you will play a pivotal role in developing the server-side infrastructure that powers our new agentic application layer. You'll be an integral part of a small, high-impact team, taking ownership of the essential transition from prototype to a production-ready platform.Travel Requirements: Up to 25% travel to Los Angeles is expected.Candidates should be prepared to travel up to 10% annually for conferences, off-site meetings, and other business-related activities as required. This position may involve participating in on-site interviews and in-person onboarding processes.Your ResponsibilitiesBackend DevelopmentDesign and implement backend services for video processing workflows, including ingestion, transcoding, 4K export, metadata extraction, and timeline operations.Architect scalable and reliable systems to support enterprise-level video workloads using cloud-native infrastructure (AWS, GCP).Develop and optimize APIs that power real-time and asynchronous frontend workflows, focusing on streaming data delivery and long-running job orchestration.Ensure performance and reliability of distributed video processing pipelines, meeting low latency and high throughput requirements.

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.

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 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 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.

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