Infrastructure Tech Lead at Lightfield | San Francisco

About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates information from your email, calendar, and meetings. It captures every interaction, transforming it into organized context—managing accounts, tasks, follow-ups, and insights—so that nothing is overlooked.We are redefining CRM from the ground up. Rather than forcing teams into rigid frameworks, Lightfield adapts to the real working styles of companies, automating processes and revealing insights that drive growth. Our vision is to build the CRM platform that we always wanted: fast, intelligent, and genuinely supportive.Supported by prominent investors like Greylock, Lightspeed, and Coatue, our team previously developed Tome, a generative AI presentation tool that has gained over 25 million users. Before Tome, many of us were part of the teams behind Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleLightfield is on the lookout for a proactive Infrastructure Tech Lead to help scale our platform during a period of rapid growth and increasing customer demand. Following our successful exit from private beta, we have witnessed strong adoption from hundreds of businesses joining weekly, including larger teams leveraging our product for mission-critical operations.As we scale our customer base and data volumes surpass initial expectations, our infrastructure is entering a new phase. This role will be pivotal in ensuring that our platform remains fast, reliable, and resilient as Lightfield advances into larger enterprise applications.This is not a position focused on building a team immediately; rather, it offers a high-impact chance for an experienced infrastructure engineer to dive in, tackle core scaling challenges, and help shape the foundational architecture of our system.Your ResponsibilitiesEnhance the reliability and performance of Lightfield's infrastructure as we accelerate customer growth.Lead initiatives to minimize database latency and optimize Postgres performance for high-volume workloads.Elevate operational maturity across the stack, focusing on observability, incident response, and production readiness.Develop scalable systems and infrastructure methodologies to accommodate larger clients and growing usage.Collaborate closely with product and engineering leadership to prioritize critical infrastructure tasks at every growth stage.Contribute to defining the long-term infrastructure roadmap, with the opportunity to influence future team structure and technical direction.

About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates your email, calendar, and meetings into an organized platform. It captures every interaction and transforms it into actionable insights, tasks, accounts, and follow-ups, ensuring that nothing is overlooked.We are revolutionizing the CRM landscape from the ground up. Rather than imposing rigid structures on teams, Lightfield adapts to how businesses naturally operate, automating processes and highlighting insights that foster growth. We are crafting the CRM platform of our dreams: fast, intelligent, and genuinely beneficial.Supported by esteemed investors like Greylock, Lightspeed, and Coatue, our team has a rich history of building impactful products, including Tome, a generative AI presentation tool embraced by over 25 million users. Our collective experience spans companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are in search of a skilled, innovative, and adaptable engineer excited to take on the challenge of designing, developing, and scaling the foundational infrastructure and systems that power Lightfield's AI-enhanced CRM.At Lightfield, engineers take full ownership of projects from ideation to execution, collaborating across various functions and pushing the boundaries of what is achievable in applied AI and data systems. You will play a pivotal role in crafting and constructing the data models and infrastructure that support a next-generation CRM, ensuring optimal performance, scalability, and resilience.What You'll DoDevelop and sustain full-stack systems, ensuring reliability, scalability, and robust performance.Architect and enhance the data infrastructure and backend services that drive Lightfield's AI-powered CRM.Design and refine data models to facilitate CRM workflows, customer interactions, and AI-derived insights.Create observability and metrics frameworks to promote seamless operations, proactive issue detection, and ongoing enhancements.Guide colleagues, engage in code reviews, and contribute to shaping the engineering culture and best practices.Play a key role in cultivating a top-tier engineering team through recruitment, mentorship, and knowledge exchange.Who You ArePossess 3+ years of software development experience, with a solid foundation in infrastructure, data modeling, and backend systems.Demonstrate extensive experience in designing scalable, high-performance systems.

About LightfieldLightfield is an innovative AI-driven CRM that intuitively organizes your communications from email, calendars, and meetings. It captures every interaction, transforming them into structured contexts: accounts, tasks, follow-ups, and insights, ensuring nothing is overlooked.Our mission is to revolutionize CRM by focusing on the natural workflows of teams rather than imposing rigid structures. Lightfield learns from actual business practices, automating processes and surfacing insights that fuel growth. We are developing the CRM platform we've always envisioned: rapid, intelligent, and genuinely supportive.Supported by prestigious investors such as Greylock, Lightspeed, and Coatue, our team boasts a rich history of innovation, having previously created Tome, a generative AI presentation tool embraced by over 25 million users. Many of us have also contributed to major platforms including Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleAt Lightfield, we aim to become the most valuable and impactful company in go-to-market technology. To achieve this, we are recruiting a distinguished go-to-market team to establish our leadership in the CRM space, starting by collaborating with pioneering early-stage companies.We seek a Community Lead who will energize the early-stage founder ecosystem around Lightfield, fostering a vibrant network both online and in-person, centered at our San Francisco headquarters. This role will report directly to our Head of Go-To-Market.What You'll DoBuild and Lead the Lightfield Founder Community. Identify, invite, and nurture relationships with exceptional early-stage founders who are passionate about go-to-market strategies, emphasizing the development of deep, authentic connections.Execute Engaging In-Person Events. Design and implement events that founders genuinely want to join, including gatherings at our San Francisco HQ and activations at third-party trade shows.Create Sustainable Community Programs. Develop structured initiatives such as founder circles, GTM clinics, or “launching your first outbound strategy” cohorts, refining them based on what produces tangible results for participants.Enhance and Manage Our Founder Slack Community. Transform Slack into a thriving peer network where founders exchange go-to-market inquiries, successes, and best practices. Foster discussions, facilitate introductions, and highlight impactful conversations.Transform Conversations into Valuable Content. Capture insights from events and Slack interactions, converting them into engaging content (articles, videos, templates) that illustrate how top founders navigate modern go-to-market strategies.

Join our dynamic team at Lightfield as a Staff Engineer specializing in Backend Systems. We are looking for a passionate engineer who thrives in a fast-paced environment and is eager to innovate and contribute to the design and implementation of our backend architecture. You will collaborate closely with cross-functional teams to deliver high-quality solutions that enhance our products and services.

About LightfieldLightfield is an innovative, AI-powered CRM that seamlessly integrates with your email, calendar, and meetings. It captures every interaction and transforms it into organized context, including accounts, tasks, follow-ups, and valuable insights, ensuring that nothing is overlooked.We are fundamentally reimagining CRM by focusing on the actual workflows of teams rather than imposing rigid systems. Lightfield learns from real-world usage, automating processes and surfacing insights that drive business growth. We’re creating the CRM platform we’ve always envisioned: fast, intelligent, and genuinely supportive.Supported by notable investors such as Greylock, Lightspeed, and Coatue, our team has a rich background, having previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Many of us have experience with leading companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleAs a key member of Lightfield's AI/ML team, you will play a vital role in crafting the core experiences of our product, developing cutting-edge applications that delight our customers.Currently, our focus is on building a powerful, domain-specific AI that surpasses generic LLMs.We thrive on the challenge of creating groundbreaking AI products for professionals engaged in serious work, and we are eager to expand our AI/ML team to meet these ambitious goals.What You'll DoDevelop and deliver exceptional, unique AI experiences that sales teams will be excited to use.Collaborate with founders and executives to shape Lightfield's AI/ML strategy.Identify user needs suitable for AI/ML solutions, articulate challenges, and work closely with product leaders to devise solutions.Prototype innovative, LLM-powered experiences and guide their development into reliable product features.Contribute to building a world-class AI/ML engineering team through recruitment and mentorship.Who You ArePossess a BS or MS degree in Computer Science, Artificial Intelligence, or Applied Mathematics.Have over 5 years of experience in developing AI/ML products, particularly in Natural Language Processing (NLP).Demonstrate a solid understanding of deep learning AI/ML frameworks and cloud services.Bring hands-on experience in ML Operations (ML Ops).Bonus PointsExperience leading AI/ML product initiatives...

About LightfieldLightfield is a cutting-edge AI-driven CRM that seamlessly integrates with your email, calendar, and meetings. Our platform captures every interaction, transforming it into organized context—encompassing accounts, tasks, follow-ups, and insights—ensuring no detail is overlooked.We are redefining CRM by focusing on fundamental principles. Rather than imposing rigid systems, Lightfield adapts to the natural workflows of companies, automating processes and revealing insights that propel growth. We're crafting the CRM platform we've always desired: swift, intelligent, and truly beneficial.Our team, backed by prominent investors such as Greylock, Lightspeed, and Coatue, has previously created Tome, a generative AI presentation tool utilized by over 25 million users. Many of us have also contributed to renowned products at Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are seeking a highly motivated and innovative engineer who is passionate about harnessing LLMs to create exceptional product experiences. Join us at the forefront of AI product innovation, where you will develop industry-leading solutions to address critical customer challenges.As an engineer at Lightfield, you will take ownership of projects from conception to execution, collaborating with cross-functional teams throughout the process. You will also help shape our company's product and technical vision, learning from each project as we continue to expand.What You Will DoPartner with product leaders to pinpoint customer challenges, define requirements, and implement LLM-powered solutions.Utilize LLMs as reasoning engines to develop domain-specific AI assistants.Craft and refine prompts, employing techniques such as few-shot learning and chain-of-thought.Design and optimize end-to-end RAG pipelines and agent architectures to effectively utilize both public and proprietary data.Enhance the overall quality of AI agents (e.g. relevance, fidelity, latency) through empirical evaluation and iterative improvements.Create and improve systems and tools that facilitate high-velocity experimentation (e.g. LLM-powered automated evaluation) and personalized product experiences.Stay updated with the latest AI research and integrate cutting-edge techniques into our work.Contribute to defining technical direction and best practices for AI application development at Lightfield.Play a role in building a world-class engineering culture.

About LightfieldLightfield is a revolutionary AI-native CRM that seamlessly integrates with your email, calendar, and meetings. It meticulously captures every interaction, transforming it into well-organized context, including accounts, tasks, follow-ups, and insights, ensuring that no detail is overlooked.We are redefining the CRM landscape from the ground up. Rather than compelling teams to adhere to inflexible systems, Lightfield intelligently adapts to how companies operate, automating processes and surfacing insights that foster growth. We are crafting the CRM platform we've always envisioned: fast, intelligent, and genuinely beneficial.Supported by esteemed investors such as Greylock, Lightspeed, and Coatue, our team previously developed Tome, a generative AI presentation tool utilized by over 25 million people. Before Tome, many of us contributed to the success of Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe have successfully launched a product that founders adore, with nearly 2,000 companies registering since our debut in November. We are now poised to establish our first direct sales strategy. With strong product-led growth in self-service, we need an individual who can transform that momentum into significant $20K+ contracts with Series A/B startups.This position is foundational. You will not inherit an established playbook or team, but you will be presented with genuine demand. We have a growing number of multi-seat accounts, engaged teams, and high-intent signals ready to be harnessed. The pipeline is established; we require someone capable of converting it. You will leverage our product-led growth data to identify high-potential accounts, complementing it with targeted outreach to VC-backed startups, managing the complete sales cycle from initial meetings through to closing.You will report directly to the Head of GTM. Initially, you will oversee the entire sales process—crafting discussion points, developing pilot frameworks, and finalizing deals. As we scale into larger markets, you will play a key role in shaping the future of our sales organization.What You'll DoManage the complete sales cycle. Conduct discovery, demonstrations, pilot programs, and close deals ranging from $20K to $50K with 30-day cycles. Your clients will include VP Sales, RevOps leaders, and technical founder-CEOs at startups with 20–250 employees.Enhance our existing pipeline and build upon it. We have numerous active accounts with team adoption, multi-seat usage, and indications of CRM migration. You will enrich and prioritize this existing base while layering targeted outreach to Series A/B portfolios to achieve 3–4x pipeline coverage.Develop the sales playbook. Create pilot templates, mutual action plans, and collateral that will serve as the foundation for the team that follows.

Join the Lightfield TeamAt Lightfield, we are revolutionizing the CRM landscape with our AI-native platform that seamlessly integrates your email, calendar, and meetings. Our innovative solution captures every interaction, transforming it into organized insights—accounts, tasks, follow-ups, and much more—ensuring nothing falls through the cracks.We are committed to reimagining CRM from the ground up. Rather than imposing rigid systems, Lightfield adapts to the actual workflows of companies, automating processes and providing actionable insights that catalyze growth. We are creating the CRM solution we envisioned: fast, intelligent, and genuinely beneficial.Supported by esteemed investors like Greylock, Lightspeed, and Coatue, our team is composed of veterans from Tome, a generative AI presentation tool used by over 25 million people, as well as industry giants like Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.Your RoleAs a pivotal member of Lightfield's AI/ML team, you will spearhead the development of experiences that sit at the heart of our product, crafting applications that truly impress our customers.The current focus is on constructing a robust, domain-specific AI that excels beyond generic large language models (LLMs). We are excited by the challenge of innovating new AI products that empower professionals in their endeavors, and we are eager to expand our AI/ML team to meet this ambition.Key ResponsibilitiesLead the creation of machine learning product development infrastructure, emphasizing scalability and innovation in collaboration and versioning, particularly for LLM training and prompting.Develop and sustain a platform utilized by various teams working on ML products, guaranteeing its scalability, efficiency, and user-friendliness.Work closely with internal teams to integrate ML solutions and establish best practices for software engineering in an AI-focused development environment.Contribute to building a top-tier AI/ML engineering team by recruiting and mentoring new talent.Tackle and resolve complex technological challenges in software engineering at scale, particularly related to AI systems.Who You AreYou possess a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field.You have over 6 years of experience in software engineering, with a specialization in ML infrastructure.You demonstrate a robust understanding of deep learning frameworks and cloud services.

About LightfieldLightfield is a groundbreaking AI-powered CRM that dynamically organizes your email, calendar, and meeting interactions. By capturing every engagement, it transforms them into actionable insights: accounts, tasks, follow-ups, and critical context, ensuring that nothing is overlooked.We are revolutionizing CRM from the ground up. Rather than constraining teams with inflexible systems, Lightfield evolves through understanding how businesses truly operate, automating processes, and revealing insights that foster growth. We are dedicated to creating the CRM platform of our dreams: quick, smart, and genuinely supportive.Backed by renowned investors including Greylock, Lightspeed, and Coatue, our team has a rich history of innovation, having previously developed Tome, a generative AI presentation tool that serves over 25 million users. Our diverse backgrounds include experience with Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are in search of a talented, imaginative, and adaptable Full Stack Engineer who is excited about the opportunity to create scalable, high-performance features and systems that provide exceptional AI product experiences.At Lightfield, our engineers take on projects from concept to realization, collaborating interdepartmentally to push the boundaries of applied AI systems development. You will partner with a skilled team to deliver industry-leading solutions and help shape the future of Lightfield's product and technical vision.Your ResponsibilitiesWork closely with product leaders to identify customer challenges, define requirements, and execute solutions.Develop and manage full-stack product features and systems from end to end, ensuring reliability, scalability, and performance.Create observability metrics to facilitate seamless operations, proactive issue resolution, and ongoing enhancements.Guide and mentor team members, engage in code reviews, and contribute to cultivating our engineering culture and practices.Play a role in building a world-class engineering team through recruitment, mentorship, and knowledge sharing.Your QualificationsA minimum of 3 years of software development experience, with a solid foundation in both front-end and back-end technologies.Proven experience in building scalable, high-performance systems capable of managing complex customer workflows and extensive data processing.A keen interest in Large Language Models (LLMs) and their applications in real-world scenarios.

As a Tech Lead Manager for Applications and Infrastructure at gleanwork, you will spearhead the development and management of innovative software applications. Your leadership will be pivotal in guiding a team of talented engineers, ensuring that our software solutions are robust, scalable, and user-friendly. You will also be responsible for architecting infrastructure that enhances our applications' performance and security.

In a world buzzing about artificial intelligence, there's a stark reality: while ChatGPT can engage in conversation, it can’t perform real-world tasks such as sending emails, booking flights, or ordering lunch.This limitation exists because AI is constrained within a chat interface, unable to take tangible actions. At ArcadeAI, we aim to transform this paradigm.We're not just another AI firm; we're constructing the foundational infrastructure that will empower every future AI application.Join the RevolutionAI applications require dynamic tools—specialized functions that enable AI models to execute real-world actions. Without these tools, AI can merely converse; with them, it becomes capable of accomplishing tasks. We are developing a comprehensive tools catalog and a tool-calling platform designed to unlock the full potential of AI. Imagine something akin to Zapier for AI Actions or Auth0 for AI—it's a vision that’s expansive and transformative.Why This Opportunity is UnmissableFounder-Market Fit: Our CEO has previously built Stormpath (acquired by Okta), where he created the industry’s first Authentication API for developers. His experience in navigating this landscape equips him for even greater success in a market that is tenfold larger today. Our CTO, who spearheaded the vector database team at Redis and has launched over 100 LLM applications, brings unmatched expertise to the table.Dream Team: We've gathered a stellar team of experts in authentication, integrations, distributed systems, and AI from industry leaders like Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, Disney, and HPE, all of whom have successfully built and launched multiple developer platforms.Perfect Timing: We are positioned at a crucial juncture in AI adoption. The primary challenge is not the development of better models but rather linking AI to real-world actions. That’s our mission.Massive Market: We are laying the groundwork for critical infrastructure in what is poised to be the most significant technological shift of our generation. Every AI application will rely on what we are building.Backed by Top Investors: Our investors have supported companies like Databricks, Clickhouse, MongoDB, and Firebase. They recognize the monumental potential we are pursuing.The Challenge AheadThe mandate for Growth is clear but challenging: cultivate advocates for Arcade—builders who not only remain engaged but also champion Arcade’s use within their organizations. Our primary focus is on enhancing the initial stages of a developer’s journey: accelerating their transition from signup to creating valuable applications.Arcade's product is powerful; developers who reach real usage become enthusiastic advocates.

The RoleAs the Frontend Tech Lead Manager at ComfyUI, you will play a pivotal role in shaping our user interface while leading a talented team of frontend engineers. Your responsibilities will encompass owning the architecture and development of our core UI, ensuring that ComfyUI’s interfaces are efficient, reliable, and user-centric. While you will maintain a technically hands-on approach where beneficial, your primary focus will be on architectural design, technical direction, and team leadership. In essence, you will be instrumental in defining the future of ComfyUI’s frontend experience, guiding everything from the prototyping of innovative ideas to the delivery of polished releases.What You’ll DoLead Frontend Architecture: Spearhead the design and development of ComfyUI’s core frontend systems from inception. Establish a long-term vision for how our interface is structured and evolves.Technical Leadership: Actively contribute to crucial technical and product decisions within the leadership and engineering teams. Facilitate architectural discussions and ensure cohesive alignment across the stack.Mentorship & Team Growth: Mentor and manage frontend engineers, cultivating a high-performance team and a robust engineering culture. Participate in recruitment, hiring, and onboarding processes for new members.Establish Best Practices: Develop and enforce best practices for frontend code quality, testing, performance, and maintainability. Oversee the evolution and enhancement of our CI/CD and automated testing processes to ensure our frontend remains resilient as we scale.Cross-Functional Collaboration: Collaborate extensively with Product, Design, Backend, and AI/ML teams to refine the end-to-end user experience. Transform complex requirements into elegant interfaces and link the frontend to our generative AI pipelines.Project Planning & Execution: Manage project execution through timeline setting, task prioritization, and ensuring timely delivery of frontend milestones while balancing immediate goals with long-term technical health.Prototyping & Iteration: Rapidly develop and iterate on UI features to explore new concepts, validate user flows, and deliver a refined end-user experience. Transition product ideas into functional prototypes and enhance them into production-ready features.Stay Current: Stay abreast of the latest frontend technologies and trends. Assess new tools, libraries, or methodologies (such as advancements in Vue.js, TypeScript, Vite/Nx, or UI frameworks) to keep ComfyUI’s frontend modern and scalable.Quality & Optimization: Identify and resolve frontend performance issues and optimize the user experience.

About UsAt Salient, we are at the forefront of developing the AI infrastructure that will revolutionize financial operations, beginning with the automation of intricate and challenging workflows in loan servicing.Supported by prominent investors including a16z and Y Combinator, we have successfully raised $65 million in Series A funding.Achieving 8-figure ARR within less than two years, we are currently serving over 20% of the auto lending industry, managing millions of real customer calls and transactions each day.Our solutions are fully operational with major financial institutions, moving beyond mere proofs of concept.Excitingly, we are expanding into new segments of financial services!Our team thrives in an in-person office culture located in San Francisco, CA.We pride ourselves on being fully integrated with our clients, owning the entire tech stack, and rapidly advancing to implement modern AI in regulated sectors where precision, reliability, and performance are paramount.About the RoleWe are seeking a dedicated Staff Infrastructure Engineer who will architect and oversee the systems that enable Salient to scale effectively. In this influential individual contributor role, you will focus on infrastructure engineering, shaping how we build, deploy, and manage the infrastructure that handles millions of daily financial transactions and customer interactions. You will establish the technical direction for reliability, scalability, and developer velocity across the stack, ensuring that our platform is prepared for future developments.Why Join Us?We are among the fastest-growing companies in the Voice AI sector, having quadrupled our revenue last year and now managing close to one million calls daily.You will enjoy significant ownership of your work and contribute to our growth journey, both in business and engineering.As an AI-native organization, we continuously stay ahead in AI tools and engineering best practices, and you will have a direct hand in propelling this forward.Our culture is straightforward and results-driven, focused on building a successful and highly profitable business.Key ResponsibilitiesLead architectural decisions and technical evaluations for infrastructure-critical projects.Design, implement, and manage the cloud infrastructure (AWS/GCP) that powers Salient—covering everything from compute and networking to storage and observability.

Join reteam as an Infrastructure Engineer and play a crucial role in developing high-impact systems. This position offers the opportunity to work on innovative projects that shape the future of technology.

About LightfieldAt Lightfield, we are pioneering the future of CRM with our AI-native platform that seamlessly integrates with your email, calendar, and meetings. Our innovative solution captures every interaction, transforming it into structured context, including accounts, tasks, follow-ups, and insights, ensuring that nothing is overlooked.We are fundamentally reimagining CRM by employing a flexible approach that adapts to how teams operate, rather than imposing rigid systems. Lightfield continuously learns, automates processes, and surfaces valuable insights that fuel growth. We are dedicated to creating a CRM platform that is not only fast and intelligent but also genuinely helpful.Our team is backed by prestigious investors like Greylock, Lightspeed, and Coatue, and has a rich history in building successful products, including Tome, a generative AI presentation tool utilized by over 25 million users. Our collective experience spans notable companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleJoin our dynamic AI/ML team at Lightfield, where we are developing the core experiences of our product through cutting-edge applications that amaze our customers. We are currently focused on creating a robust, domain-specific AI that surpasses conventional LLMs.We thrive on the challenge of crafting innovative AI solutions for professionals engaged in significant work, and we're eager to expand our AI/ML team to rise to this challenge.Your ResponsibilitiesDesign and deliver extraordinary AI experiences that empower sales teams.Collaborate closely with founders and executives to shape Lightfield's AI/ML strategy.Lead the training of new models utilizing both historical and synthetic training data.Develop and prototype innovative LLM-driven experiences, transforming them into robust product features.Contribute to building a top-tier AI/ML engineering team through recruitment and mentorship.Your Profile5+ years of industry experience in Natural Language Processing (NLP) with a strong portfolio of model training.Solid understanding of deep learning AI/ML frameworks and cloud services.Hands-on experience in ML Operations (ML Ops).Deep expertise in NLP and model training, particularly with Large Language Models (LLMs).Demonstrated ability to adapt open-source generative models for specific applications, with a comprehensive understanding of their architecture.

About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates with your email, calendar, and meetings. Our platform captures every interaction and organizes it into valuable insights, accounts, tasks, and follow-ups, ensuring that no detail is overlooked.We are revolutionizing CRM by focusing on the actual workflows of organizations. Rather than forcing teams to adhere to rigid systems, Lightfield intelligently learns and adapts, automating processes and providing actionable insights that fuel growth. We are building the CRM solution we always wanted: rapid, intelligent, and genuinely supportive.Our team is backed by prominent investors including Greylock, Lightspeed, and Coatue, and has a proven track record, having previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Our members have extensive experience, having contributed to projects at Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are seeking a dynamic, creative, and adaptable engineer who is passionate about crafting scalable, high-performance features and systems that offer cutting-edge AI product experiences.At Lightfield, engineers play a crucial role in project ownership from conception to execution, working collaboratively across various functions and pushing the boundaries of what is achievable in applied AI system development. You will partner with a talented team to provide industry-leading solutions while contributing to both the product and technical vision of Lightfield.Your ResponsibilitiesWork closely with product leaders to identify customer challenges, define requirements, and implement effective solutions.Design and maintain full-stack product features and systems from inception to deployment, ensuring they are reliable, scalable, and performant.Create observability tools and metrics that facilitate smooth operations, proactive issue detection, and ongoing improvement.Provide mentorship to team members, engage in code reviews, and help cultivate a strong engineering culture and best practices.Contribute to the development of an exceptional engineering team through recruitment, mentorship, and knowledge sharing.Your ProfileYou are enthusiastic about Large Language Models (LLMs) and eager to build systems that harness their capabilities.You are quick to adapt to a tech stack featuring TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.You possess solid software engineering fundamentals and are ready to tackle challenging problems.

At Composio, we are at the forefront of creating a seamless communication infrastructure that empowers agents to interact with essential work tools such as GitHub, Gmail, Notion, Salesforce, and more. Our dedicated team of engineers tackles challenges ranging from contextual understanding to search functionality, ensuring we build the most effective bridge between your agents and their tools.Recently, we secured a $25M Series A funding from Lightspeed, along with support from notable investors such as Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of HubSpot), and Gokul Rajaram. This year, we tripled our Annual Recurring Revenue (ARR), with clients ranging from fellow YC alumni to companies like Wabi, Glean, Zoom, and many others.We are always on the lookout for exceptional talent, regardless of the job board listings. If you believe you are a remarkable fit for our team, describe your dream job and outline what makes you exceptional. If we see a potential match, we will reach out!

About UsBraintrust is at the forefront of AI observability, seamlessly integrating evaluations and observability into a single workflow. Our platform empowers innovators by providing them with the critical insights needed to understand AI performance in production environments and the tools required to enhance it.Recognized by leading companies such as Notion, Stripe, Zapier, Vercel, and Ramp, Braintrust enables teams to compare AI models, test prompts, and detect regressions, transforming production data into superior AI with each iteration.Role OverviewWe are seeking a talented Cloud Infrastructure Engineer to join our team and contribute to the development of a robust and scalable infrastructure. You will provide developers with a premium platform to deploy code efficiently and confidently. Your role will involve leading initiatives across Terraform, Kubernetes, CI/CD, observability, and support, significantly impacting Braintrust's internal operations and the self-hosted experiences of our customers.This position is pivotal as you will manage our AWS environment while assisting customers in deploying our infrastructure on AWS, Azure, and GCP.Your ResponsibilitiesDevelop and maintain Terraform modules for both internal infrastructure and customer deployments.Engage directly with customers via Slack to assist with self-hosting and troubleshoot infrastructure challenges, creating tools to simplify their support process.Take ownership of our CI/CD pipeline, aiming to reduce build times, enhance failure visibility, and facilitate safer, quicker releases.Centralize and scale observability through logs, metrics, dashboards, and alerts.Collaborate with engineering teams to create and enhance a secure, developer-friendly infrastructure platform.Support multi-cloud deployment strategies, primarily in AWS, while also extending support for Azure and GCP for our enterprise clientele.Implement tools and automation to bolster deployment, rollback, and infrastructure reliability.Ideal Candidate ProfileA minimum of 5 years of experience in DevOps, SRE, or Infrastructure Engineering roles.In-depth knowledge of Terraform and experience with at least one major cloud provider, preferably AWS.Proficient in Kubernetes, with capabilities in deploying, debugging, and scaling real workloads.Strong programming skills in scripting languages like Python, Typescript, or Go.Experience in supporting production systems and managing incidents effectively.Comfortable working closely with customers in a support or deployment capacity.Bonus: Familiarity with monitoring and logging tools, as well as knowledge of security best practices.

About FluidstackAt Fluidstack, we are pioneering the infrastructure for advanced intelligence. Collaborating with leading AI laboratories, governmental bodies, and prominent enterprises such as Mistral, Poolside, Black Forest Labs, and Meta, we are committed to delivering computing capabilities at unparalleled speeds.We are driven by a sense of urgency to realize Artificial General Intelligence (AGI). Our team is highly dedicated to providing world-class infrastructure, prioritizing our customers' success as our own. We take immense pride in the systems we create and the trust we cultivate. If your motivation stems from purpose, a relentless pursuit of excellence, and a readiness to work diligently to accelerate the future of intelligence, we invite you to join us in shaping what lies ahead.About the RoleFluidstack is looking for a Director of Infrastructure who will be responsible for the hardware that supports some of the largest AI clusters globally. You will lead a multidisciplinary team of Networking Engineers, Compute Systems Engineers, Storage Engineers, and the ICT team, working closely with Procurement, Data Center Operations, Software Engineering, Site Reliability Engineering, Finance, Security, and Sales to ensure Fluidstack delivers and operates clusters more swiftly and reliably than any competitor.You have successfully deployed a GPU cluster with over 10,000 units using cutting-edge hardware. You possess the expertise to expedite deployment from months to weeks, having established the necessary tools, runbooks, and a culture that supports repeated success.

About BlacksmithAt Blacksmith, we revolutionize the way companies handle CI workloads. Our innovative products significantly enhance the speed and cost-effectiveness of GitHub Actions by leveraging our own global fleet of bare-metal machines, rather than relying on traditional cloud VMs.In just two years, we've achieved remarkable success, orchestrating tens of millions of Firecracker VMs monthly for over 1,200 companies and reaching an ARR of approximately $10M.Our infrastructure consists of thousands of bare-metal machines across various regions, efficiently scheduling over 30,000 vCPUs concurrently, while managing a petabyte-scale Ceph cluster in-house.Backed by $13.5M in funding from esteemed investors like Google Ventures, we pride ourselves on building a compact yet exceptional team.Our founding team boasts deep expertise in systems engineering and scalability, having previously developed search and ad infrastructure at Faire and managed large-scale distributed systems at Cockroach Labs.We are now expanding our CI infrastructure into a comprehensive platform, focusing on running agent sandboxes at scale and developing our own background coding agent.