Software Engineer at leverdemo-8 | San Francisco

Join us at Lever, a leading innovator in hiring software, as a Software Engineer in our vibrant San Francisco office. This role is an opportunity to become part of a dedicated team committed to enhancing talent acquisition through cutting-edge technology.At Lever, we pride ourselves on our culture of collaboration and continuous improvement. We are seeking p…

As a Biomedical Engineer (Regional Clinical Specialist) at Brainlab, you will play a pivotal role in enhancing surgical outcomes. Your responsibilities will include providing on-site consulting and expert guidance to surgeons and Operating Room (OR) staff, ensuring optimal utilization of Brainlab products during procedures. You will manage the installation base, including basic integrations with third-party systems, while analyzing and addressing product issues through Salesforce. Your engineering acumen will be vital in recommending product enhancements to improve quality. Additionally, you will support complex cases and go-live launches, drive customer engagement through unique workflows, and serve as the escalation point for clinical issues.In this role, you will educate and train physicians and hospital personnel on Image Guided Surgery (IGS) products and services, developing and conducting in-house training programs. As the primary liaison for our customers, you will assess satisfaction levels and provide recommendations to enhance their experience. Collaboration with the Application Consultant, Area Account Manager, and Marketing Manager will be essential to drive revenue through sales of parts, upgrades, and contract renewals. You will also represent Brainlab at meetings and trade shows, showcasing our innovative IGS products and services.Stay updated on the latest developments in Brainlab and competitive IGS offerings through continuous training and personal research. Work closely with the Regional Support Manager to contribute valuable insights during team meetings and maintain thorough documentation in Salesforce. You will also be expected to attend annual Continuing Education sessions to maintain product certification competency.

About CartesiaAt Cartesia, we are on a mission to create the next generation of artificial intelligence—smart, interactive systems that function seamlessly in any environment. Currently, the most advanced models struggle to process and analyze extensive streams of audio, video, and text over extended periods—1 billion text tokens, 10 billion audio tokens, and 1 trillion video tokens—especially when integrated directly on devices.We are at the forefront of developing the model architectures that will enable this innovation. Our founding team, which originated from the Stanford AI Lab, is responsible for the creation of State Space Models (SSMs), a groundbreaking approach for training efficient, large-scale foundational models. Our team merges deep technical knowledge in model development and systems engineering with a product engineering group focused on design, allowing us to create and deliver pioneering models and user experiences.Supported by top-tier investors such as Index Ventures, Lightspeed Venture Partners, and others, along with guidance from industry-leading advisors and over 90 angel investors, we are well-equipped to reshape the landscape of AI.About the RoleWe are seeking a skilled Software Engineer to join our team and help propel our vision of real-time, multimodal intelligence.Your ImpactDevelop and implement a low-latency, scalable, and dependable model inference and serving framework for our innovative SSM foundational models.Collaborate with our research and product engineering teams to translate cutting-edge research into extraordinary products.Establish robust, high-quality data processing and evaluation infrastructure for training foundational models.Enjoy significant autonomy in shaping our product direction and influencing how advanced AI technologies are utilized across various devices and applications.What You BringGiven the complexity of the challenges we tackle, we prioritize strong engineering capabilities at Cartesia.Proficient engineering skills with the ability to navigate intricate codebases and monorepos.A keen eye for detail, ensuring the production of clean, maintainable code.Adaptability to new technologies and quick proficiency with our tech stack, which includes Go and Python for backend development and Next.js for frontend.Experience in building large-scale distributed systems that require high performance, reliability, and observability.

About Atomic SemiAtomic Semi is pioneering the development of a compact, high-speed semiconductor fabrication facility.Utilizing current technology and a few strategic simplifications, we are set to construct the tools ourselves to enable rapid iteration and enhancement.Our goal is to assemble a small, elite team of hands-on engineers across various disciplines—mechanical, electrical, hardware, computer, and process engineering—to take ownership of the entire technology stack from atoms to architecture. We are optimistic about the future and committed to pushing the boundaries of what technology can achieve.We believe that smaller, faster, and self-built solutions are the key to advancement.Equipped with state-of-the-art 3D printers, a diverse range of microscopes, e-beam writers, and general fabrication tools, we have the capability to invent anything that might be missing along our journey.Atomic was founded by Sam Zeloof, known for his garage chip-making, and Jim Keller, a seasoned leader in the semiconductor industry for over 40 years.About the RoleAs a Mechanical Engineer at Atomic Semi, your primary responsibilities will include designing, refining, and constructing specialized equipment for semiconductor fabrication.We seek hands-on engineers to tackle diverse challenges, from heavy design tasks to integrating mechanical, optical, and electronic components, as well as automating production processes. Our philosophy is to build and test solutions rapidly—in days or weeks, not months—with a focus on practical solutions that address real production needs.We are hiring across multiple experience levels for various specialized teams:The Positioning Team: This team is dedicated to systems-level engineering, designing, prototyping, and building semiconductor fabrication equipment and subsystems related to lithography, motion, and metrology.The Vacuum Team: This team handles the design, prototyping, validation, and scaling of core semiconductor fabrication equipment, including tool families such as Anneal, Deposition, Etch, and Supporting Infrastructure, with objectives ranging from fundamental design to automation readiness.

AeroVect is seeking a highly skilled Senior Planning Engineer to contribute to the design of cutting-edge planner systems for autonomous driving in structured, low-speed environments.In this pivotal role, you will take ownership of, enhance, and scale a critical planning module within our fast-paced, innovative startup. Drawing on your expertise in developing production-grade planners, you will elevate the AeroVect Driver to adeptly manage a variety of driving scenarios, establishing a benchmark for vehicle autonomy in airport operational design.Your responsibilities will encompass leading the system design and executing key enhancements to the existing AeroVect planner, which includes the global mission planner, behavior planner, and motion planner.As a generalist engineer, you will be integral to the core autonomy team, focusing on system requirements and validating autonomous driving capabilities across multiple areas of the autonomy stack. Your key tasks will involve designing, implementing, testing, and documenting robotic systems and features in C/C++ across both desktop and embedded platforms.This is an exciting opportunity for a technically adept and hands-on team leader to help forge a market-defining enterprise product that merges autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. You will work closely with our co-founders and the autonomy engineering team.Key ResponsibilitiesDefine, implement, and take ownership of practical enhancements to the core planner module, focusing on achieving milestones, expanding the team, and collaborating with internal and external partners. Expect to dedicate 80% of your time to hands-on development while leading the planning module roadmap, managing schedules, eliminating obstacles, and mentoring the team to achieve ambitious goals.Lead a team of engineers in deploying all components essential for reliable autonomous driving in airside environments, including vehicle corridors and aprons.Design, implement, test, and support all facets of ground vehicle autonomy, which includes planning, prediction, perception, localization, controls, and infrastructure subsystems.Qualify all subsystems using objective metrics, with a strong emphasis on functional safety and adherence to systems engineering best practices.Collaborate with vehicle engineering teams to develop an integrated system, encompassing sensor and compute selection and integration.Stay informed about the latest advancements in the field.

Join Our Team as an iOS EngineerAt Speak, we are on a mission to transform language learning for everyone.Language learning can significantly enhance lives by connecting individuals to new cultures, career opportunities, and communities. With over two billion people globally striving to learn a language, the traditional approach of one-on-one tutoring remains challenging to access at scale and has seen little innovation in recent years. Speak aims to change this by developing a human-level, AI-driven tutor that fits in your pocket—a conversation-first platform that empowers learners to engage in dialogue, receive real-time feedback, and progress through meticulously crafted lessons. Our goal is to provide a complete journey from novice to confident speaker in multiple languages.Launched in South Korea in 2019, Speak has quickly established itself as the leading language learning app, now catering to learners across various markets and offering support for over 15 languages. As a premier AI company, we have secured over $150 million in venture funding from notable investors, including OpenAI, Accel, Founders Fund, and Khosla Ventures. Our diverse team is spread across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.About the RoleAs a Mobile iOS Engineer on Speak’s engineering team, you'll play a pivotal role in enhancing our content delivery, conducting A/B testing on monetization features, and facilitating the launch of new markets and languages. You'll work closely with backend engineers, as well as our Product and Design partners, and be responsible for deploying product features to millions of users.Your ResponsibilitiesEnhance the “freemium” experience to boost user conversions.Assist in the launch of new markets and languages.Implement various paywall tests, including pricing strategies, design modifications, delayed paywalls, and special offers.Refine our speech-to-text capabilities.Enhance our audio and video streaming functionalities.Your Qualifications3+ years of experience in mobile engineering, ideally within a dynamic startup environment.Proficiency in Swift, with a solid grasp of mobile architectures such as MVC and MVVM.Bonus: Experience with SwiftUI and mobile streaming technologies.

About MiddeskMiddesk simplifies collaboration for businesses by transforming identity verification processes. Since our inception in 2018, we have replaced outdated, manual methods with an efficient platform that provides seamless access to comprehensive and current data. Our services enable companies across various sectors to confidently verify business identities, accelerate customer onboarding, and mitigate risks throughout the customer lifecycle.As a proud Y Combinator graduate, Middesk is supported by notable investors such as Sequoia Capital and Accel Partners. We have recently been featured on Forbes’ Fintech 50 List and recognized as a leader in business verification by the digital identity strategy firm, Liminal.About the Middesk Engineering Team:At Middesk, we prioritize delivering value to our customers through a concept we call 'Velocity'. This term embodies our commitment to achieving meaningful outcomes rather than merely focusing on code delivery speed. We believe that exceptional products arise from a blend of technical expertise and a profound understanding of our customers’ needs. Our engineering team is composed of humble, self-driven individuals who are dedicated to addressing even the most complex challenges faced by our clients. At Middesk Engineering, our mission is to put customers first.Your Role:We are seeking a talented Infrastructure Engineer to join our DevSecOps team. Your mission will be to empower engineering teams by providing secure, cost-effective, and scalable platform capabilities that enhance software delivery, improve developer experience, and ensure compliance with industry standards. You will be responsible for developing the tools and infrastructure necessary to scale our development and production systems. Your contributions will directly impact the entire Software Development Lifecycle and overall developer experience (DevEx). The systems you will support include Kubernetes, cloud infrastructure, observability, and local development environments.Our work environment is hybrid, requiring a presence in our San Francisco or New York City offices for 2 days each week. Candidates must reside within a reasonable commuting distance as we value in-person collaboration while also supporting flexible work arrangements.Key Responsibilities:Architect, build, and scale cloud infrastructure and orchestration systems (e.g., Kubernetes, Terraform, CI/CD).Take ownership of and enhance developer experience (DevEx) tools and workflows, spanning from local development to deployment.Develop observability systems that offer insights into performance, reliability, and usage metrics.

Think Different. Build the Future. Our MissionDevelop everyday AGI. Trustworthy, consumer-grade agents that redefine human–AI collaboration for millions. Software should proactively assist users, enhancing daily productivity and creativity.Why Join AGI, Inc.We are a pioneering team of elite founders and AI researchers with backgrounds from Stanford, OpenAI, and DeepMind. We are at the forefront of mobile and computer-use agents, focusing on bringing these groundbreaking capabilities to consumers on a large scale.With years of dedicated agent research, our AI is built around trustworthiness and reliability as foundational principles, rather than as afterthoughts.Backed by top-tier investors who have fueled the first generation of AI trailblazers, we are now on a mission to create the next: everyday AGI. (Watch the demo)If you envision possibilities where others see limitations, we invite you to read on.About the RoleAs one of the initial engineers, you will play a crucial role in shaping our core product and transforming how individuals incorporate AI companions into their daily workflows.Expect to:Innovate from scratch. Conceptualize on the whiteboard in the morning and have a demo ready by evening.Take ownership of the entire stack. Work across backend, frontend, model orchestration, and observability to minimize friction between ideas and final product delivery.Connect research with user satisfaction. Collaborate with scientists to translate breakthroughs into refined consumer experiences, pushing them to production within days, not months.Set the standard. Establish engineering, design, and reliability benchmarks that future team members will adhere to.Transform markets. Your features will not be confined to a sandbox; they will redefine how everyday individuals engage with and trust AI.You will lead projects from conceptualization to production deployment, iterating swiftly and placing genuine user feedback at the core of product decisions.Key ResponsibilitiesDevelop comprehensive experiences: Design, code, and implement end-to-end solutions that enhance user interaction with AI.

About AirwallexAirwallex is a revolutionary unified payments and financial platform designed for global enterprises. Leveraging our unique blend of proprietary technology and software, we empower over 200,000 businesses globally, including industry leaders like Brex, Rippling, Navan, Qantas, and SHEIN, providing them with comprehensive solutions for managing business accounts, payments, spend management, treasury functions, and embedded finance at a global scale.Founded in Melbourne, we boast a diverse team of over 2,000 innovative professionals across 26 offices worldwide. With a valuation of US$8 billion and support from prominent investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, and Salesforce Ventures, Airwallex is at the forefront of developing the future of global financial platforms. Join us to embark on the most ambitious journey of your career.

ABOUT BASETENAt Baseten, we empower leading AI companies such as Cursor, Notion, and Abridge by delivering mission-critical inference capabilities. Our innovative platform integrates applied AI research, versatile infrastructure, and intuitive developer tools, enabling organizations at the forefront of AI to deploy cutting-edge models seamlessly. With our recent $300M Series E funding from top investors like BOND and Greylock, we are rapidly expanding. Join us to create the ultimate platform for engineers to launch AI products effectively.THE ROLEWe are seeking a passionate and customer-focused software engineer to join our team. You will take ownership of features, including multi-node training and serverless reinforcement learning (RL), guiding them from concept to MVP and beyond. Your responsibilities will span the entire technology stack, from API and UI design to infrastructure architecture. By diving deep into model fine-tuning, you will gain valuable insights into user workflows. Collaborating closely with research engineers, you will apply advanced training techniques to develop solutions that address real user challenges. If you are eager to explore the intricacies of AI training, we want to hear from you!THE PRODUCTDiscover what we have accomplished so far:Comprehensive Product OverviewTraining Documentation OverviewThe Journey of Our Training ProductOur Research EndeavorsEXAMPLE INITIATIVESCheckpointing Pipeline: Our automated checkpointing feature ensures that model versions created during training are securely backed up to the cloud, allowing users to easily deploy checkpoints with minimal friction.

About Our TeamThe GTM (Go-To-Market) Innovation team is a dynamic and innovative group dedicated to transforming customer engagement through cutting-edge applications of our technology. As a vital internal incubator, we enhance the effectiveness of Sales, Technical Success, Enablement, and Revenue Operations by deploying our technology on a large scale. Our mission is to enrich real-world interactions by reshaping customer conversations, learning from each exchange, and discovering new ways to demonstrate the value of our technology.About the RoleWe are seeking talented backend software engineers with a product-oriented mindset to join our GTM Innovation team. In this role, you will play a crucial part in helping OpenAI engage with the world at scale. You will collaborate closely with go-to-market teams to understand their workflows, identify opportunities for improvement, and develop innovative solutions utilizing OpenAI’s API platform.Your agility in moving from prototype to production will be essential, as your contributions will directly influence how customers interact with our technology in real-world settings. This role is perfect for engineers looking to engage directly with users, take ownership of end-to-end outcomes, and pioneer new categories of enterprise software.Key Responsibilities:Develop impactful applications and tools that drive OpenAI’s go-to-market initiatives.Oversee the entire product lifecycle for GTM: prototype, iterate, deploy, and maintain.Collaborate closely with Sales, Technical Success, and Revenue Operations to identify user needs and create tailored solutions.Utilize OpenAI’s models in innovative ways to address real-world customer and internal workflow challenges.Convert insights gained from user interactions into actionable feedback for our Applied and Research teams to guide product development.Qualifications:A minimum of 4 years of experience as a software/ML/product engineer working on user-facing systems.Experience as a founder or early engineer at a startup who has built a product from the ground up is highly desirable.Proficiency in Python or JavaScript and a strong capability in building full-stack applications.Experience building or prototyping LLM-powered workflows using the OpenAI API (or similar technologies).Demonstrated initiative, quick decision-making, and a profound sense of ownership.A passion for collaborating closely with end users to deliver exceptional solutions.

Location: San Francisco, CA (Hybrid: 4 days onsite/week). Relocation assistance available.About Our Team:At OpenAI, we are at the forefront of technology, creating foundational platform software that ensures our consumer products are reliable, secure, and high-performing. Our team collaborates across various system layers, working closely with engineering partners to deliver exceptional capabilities from initial concept to final launch.Role Overview:We are looking for a passionate Systems Software Engineer to lead the design, implementation, and debugging of critical platform components and the pipelines that build and update system images. Your focus will span across operating system layers, emphasizing performance optimization, security enhancements, and in-depth system debugging to deliver production-grade systems that exceed expectations.Key Responsibilities:Design and develop robust system-level components and services within both kernel and user spaces.Configure and maintain essential OS platform services (init, services, networking, security policies) and related tools.Build and manage image and update pipelines, ensuring their reliability, reproducibility, and rollback safety.Instrument system performance through profiling and tracing; enhance CPU, memory, I/O, and energy efficiency.Oversee platform observability and reliability, including logging, crash capture, watchdogs, and diagnostics.Collaborate with cross-functional teams to define interfaces and deliver comprehensive end-to-end features.Establish and promote strong engineering practices such as code reviews, continuous integration, reproducible builds, and effective release management.Work alongside external vendors to support builds and deployments.You Will Excel in This Role If You:Have successfully launched production systems software on modern operating systems.Possess proficiency in C/C++ and a scripting language, with a strong understanding of OS internals including concurrency, memory management, filesystems, networking, and power management.Demonstrate exceptional systems debugging skills utilizing debuggers, tracers, profilers, and logs across kernel/user-space boundaries.Comprehend the configuration of platform services and interfaces, effectively translating requirements into stable, well-documented APIs.Are knowledgeable about user-space foundations including service management, IPC, networking, packaging, and automation.Have experience collaborating with external partners to deliver high-quality software solutions.

About Our TeamJoin OpenAI’s innovative Hardware team, where we are redefining the landscape of silicon and system-level solutions tailored to the specific demands of cutting-edge AI workloads. Our mission is to design the next generation of AI-native silicon, collaborating closely with software and research teams to co-create hardware that seamlessly integrates with advanced AI models. Beyond developing production-grade silicon for OpenAI’s supercomputing infrastructure, we also craft bespoke design tools and methodologies that drive innovation and optimize hardware specifically for AI applications.About the RoleWe are seeking a passionate Junior RTL Engineer to contribute to the design and implementation of critical compute, memory, and interconnect components for our custom AI accelerator. You will engage closely with architecture, verification, physical design, and machine learning engineers to translate complex AI workloads into efficient hardware architectures. This hands-on role offers substantial ownership over the design definition, modeling, and implementation processes.This position is based in San Francisco, CA, utilizing a hybrid work model with three days in the office each week. Relocation assistance is available for new hires.Key ResponsibilitiesDevelop clean, production-quality microarchitecture and RTL for major accelerator subsystems.Engage in architectural studies, including performance modeling and feasibility assessments.Collaborate with software, simulator, and compiler teams to ensure effective hardware/software co-design and workload optimization.Work with design verification and physical design teams to ensure functional correctness, timing closure, and adherence to area/power specifications.Create and review performance and functional models to validate design intent.Participate in design reviews, documentation processes, and provide support throughout the silicon lifecycle.Ideal Candidate ProfileGraduate-level research or industry experience in computer architecture, AI/ML hardware-software co-design, encompassing workload analysis, dataflow mapping, or accelerator algorithm optimization.Proficient in writing production-quality RTL in Verilog/SystemVerilog, with a proven track record of delivering complex blocks to tape-out.Experience in developing hardware design models or architectural simulators, particularly in AI/ML or high-performance computing domains.Familiarity with industry-standard design tools and methodologies (lint, CDC/RDC, synthesis, STA).Strong analytical and problem-solving skills with a collaborative mindset.

About DecagonDecagon stands at the forefront of conversational AI, empowering brands to offer unparalleled customer experiences. Our cutting-edge technology facilitates industry-leading enterprises such as Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that foster personalized, engaging interactions across voice, chat, email, SMS, and more.We envision a future where customer experiences evolve beyond traditional support tickets and hold music, paving the way for quicker resolutions, richer conversations, and deeper relationships. Our vision is supported by top-tier investors including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, among others.At Decagon, we thrive in an in-office environment that emphasizes a shared commitment to excellence and speed. Our core values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — guide our work and foster our growth as a cohesive team.About the TeamThe Talent team at Decagon collaborates directly with leadership to sculpt organizational design, define excellence, and recruit the individuals who will drive our future. We are pioneers in Gen AI, continuously redefining the operations of Talent teams by moving swiftly, tackling complex challenges, and playing a crucial role in building a premier organization.About the RoleAs Decagon rapidly expands, we seek exceptional Recruiters to propel our growth. In the role of Senior Go-To-Market Recruiter, you will have the autonomy to work closely with company leaders and establish world-class teams. This position is ideal for a proactive builder, eager to make a significant impact.Key ResponsibilitiesCollaborate with company leaders and Co-Founders to scale our Go-To-Market teams.Employ innovative strategies to attract and secure top-tier talent.Design and streamline interview processes for optimal speed and efficiency.Embrace a unified team approach to achieve ambitious hiring targets.Qualifications8+ years of comprehensive experience in a full-cycle recruiting capacity.A proven track record of building and scaling high-performing talent teams in competitive markets.

At Crusoe, we're on a mission to revolutionize the way energy and intelligence coexist. Our vision is to develop a robust infrastructure that empowers individuals to innovate ambitiously with AI, all while embracing principles of sustainability and efficiency.Join us at the forefront of the AI revolution, where you'll leverage sustainable technology to drive groundbreaking advancements, make a significant impact, and collaborate with a team that's pioneering responsible cloud infrastructure.About the RoleThe Crusoe Cloud Network Deployment Engineering team seeks a dynamic and experienced professional to enhance our Network Engineering efforts. This team is integral to designing, constructing, and managing the global edge, backbone, and data center networks for High-Performance Compute (HPC) Clusters utilizing GPUs. The ideal candidate will be self-motivated, technically adept, and passionate about working with cutting-edge environmental technologies. Exceptional analytical and communication skills, along with a collaborative spirit, are essential.As a Network Engineer, you will play a pivotal role in expanding the Global Crusoe Network, focusing on deploying new data centers, Points of Presence (PoPs), and backbone infrastructure. This position offers a unique opportunity to gain valuable experience in large-scale network engineering involving edge, backbone, and HPC-based data center networking.This position is on-site in San Francisco, CA, or Sunnyvale, CA, and requires in-office presence.Key Responsibilities:Deploy, construct, and optimize the global Crusoe Energy Cloud network, including edge, backbone, data center, and public cloud connectivity.Collaborate with cross-functional teams, including Software Infrastructure and Product, to foster innovation and advancement within the Crusoe Energy Cloud network.Engage with external vendors and ISPs to evaluate and confirm device and carrier selection.Participate in a 24/7 On-call Support for the Crusoe Network.What You Bring:A minimum of 10 years of experience in building and operating network solutions at scale within a production environment.Deep understanding of network protocols such as TCP/IP, QoS, BGP, OSPF/IS-IS, EVPN, VXLAN, and MPLS technologies.

At NerdWallet, we strive to illuminate every financial decision in life, and this mission thrives on our extraordinary team of Nerds. We are committed to nurturing an inclusive, flexible, and transparent culture that empowers you to grow, take calculated risks, and express your authentic self (cape optional). Whether you prefer to work remotely or from our office, we support your best working environment. Your well-being, professional development, and impact are our priorities because when one Nerd excels, we all benefit.As a Senior Staff Software Engineer, you will be pivotal in architecting, developing, and upkeeping intricate software systems while providing invaluable technical leadership to your team. Your main focus will be to design scalable and efficient solutions that fulfill both functional and non-functional requirements such as performance, security, and maintainability.You will write high-quality, scalable, and efficient code, ensuring our software aligns with business and technical specifications. Your role also encompasses reviewing and refining existing code, conducting comprehensive testing, and troubleshooting complex challenges to enhance system performance and reliability. Additionally, you will mentor junior developers, cultivating a continuous learning environment and promoting best practices in coding, architecture, and software development methodologies. Collaboration with cross-functional teams, including product managers, designers, and quality assurance professionals, will be essential to ensure that our technical solutions align with business goals. Strong communication, problem-solving skills, and the ability to work autonomously while leading projects are crucial for your success in this role.This position reports to the Senior Manager of Engineering.Projects you may be involved in include:Enhancing and developing new insurance flows through our marketing funnels utilizing A/B testing, micro-optimizations, and ordering changes for auto, home, life, Medicare, and travel insurance.Designing and implementing secure, scalable backend integrations with partner and third-party platforms to boost conversions and user engagement.Leading the development of high-impact insurance user experiences, including organic SEO pages that drive significant traffic and user flows across various insurance products (auto, home, life, Medicare, U65 health, travel, and pet).Instrumenting our systems within our Observability platform, Datadog.

At Judgment Labs, we specialize in developing cutting-edge infrastructure for Agent Behavior Monitoring (ABM). Unlike conventional observability tools that merely track exceptions and latency, our ABM technology identifies behavioral anomalies, such as instruction drifts and context retrieval losses, in large-scale production settings.Our solutions are trusted by numerous teams working on autonomous agents to gain insights into system behavior post-deployment. Rather than simply reacting to incidents, our clients analyze patterns across conversations and workflows, correlate regressions with specific interaction types, and identify critical points of reliability failure. Recently, we secured over $30 million across two funding rounds from notable investors like Lightspeed, SV Angel, and Valor Equity Partners.The Role:We are seeking a Senior Data Infrastructure Engineer to architect and enhance the real-time data pipelines essential for robust agent behavior analysis at scale. This position plays a vital role in processing hundreds of thousands of traces per second, executing LLM-based scoring and clustering in near-real-time, and ensuring low-latency query performance, which allows teams to monitor agent behavior as it unfolds. Ideal candidates will have experience designing petabyte-scale data systems, optimizing OLAP database performance, and managing the full data lifecycle from ingestion to analytics.What You'll Do:Design and automate large-scale, high-performance streaming and batch data processing systems to support Judgment's behavioral analysis products.Collaborate closely with infrastructure and backend teams to enhance scalability, data governance, and operational efficiency.Promote best practices in software engineering for data infrastructure at scale.Uphold high standards for data quality and engineering: ensuring reliability, efficiency, documentation, testability, and maintainability.Craft data models for optimal storage and access, ensuring efficient data flows to meet critical product requirements.Enhance OLAP database performance through careful schema design, partitioning strategies, storage optimization, and access pattern analysis.

At Greptile, we are on a mission to develop intelligent agents that autonomously verify code modifications. Our current focus involves utilizing AI to analyze pull requests on GitHub, effectively identifying bugs and enforcing coding standards. With our technology, we review nearly 1 billion lines of code each month for over 3,000 companies.Challenges We Are Excited To TackleDeveloping agents that can learn coding standards through experience, similar to how new hires adapt.Determining customer-specific preferences for pull request feedback using sample-efficient reinforcement learning to enhance signal-to-noise ratios.Implementing automated deployments of feature branches and leveraging agents to stress-test the application for bug detection.Our Growth TrajectoryServing over 7,000 customers.Successfully raised $30 million from prominent investors including Benchmark, Y Combinator, Paul Graham, and Initialized.Our TeamWe have curated a highly skilled team that has successfully scaled vital functions at leading companies such as Stripe, Google, Figma, and others.Key ResponsibilitiesDesign and implement resilient infrastructure to accommodate Greptile's expanding user base.Collaborate with our largest enterprise clients to facilitate the deployment of Greptile within their environments.Streamline the on-premise deployment process to support smaller clients with minimal hands-on intervention.

Join Fellow as a Firmware EngineerAt Fellow, our mission is to empower coffee enthusiasts to brew exceptional coffee at home. We go beyond offering beautifully designed kettles and grinders; we are a brand immersed in innovation, community, and culture. We believe that great coffee is about the entire experience—the ritual and the connections made along the way.We are seeking a Firmware Engineer to lead the design, development, and maintenance of robust and scalable user interface (UI) and communication firmware for our Internet of Things (IoT) platform. This position is based in our San Francisco office, where you will collaborate with a talented team while being in-office four days a week.

About the RoleJoin us as a pivotal member of our frontend engineering team, where you will spearhead the development of exciting new features that enhance our user experience.Your Responsibilities:Design and develop the foundational frontend architecture for innovative products from inception to launch.Quickly prototype and refine features to test ideas and improve user interactions.Set and uphold best practices for code quality, testing, performance, and maintainability.Work in close collaboration with design, product, and backend teams to create a seamless user journey.Play an active role in crucial technical and product decisions as part of our founding engineering team.Guide and mentor upcoming engineers, helping to foster a high-performing frontend team culture.