About depthfirstAt depthfirst, we recognize that software is the cornerstone of contemporary society, yet it is continuously threatened by vulnerabilities that undermine its integrity, security, and resilience. Our mission is to fortify the world's software.We are pioneering intelligence solutions to identify and address critical software vulnerabilities. Our focus lies in training and scaling security AI agents to uncover zero-day vulnerabilities across extensive customer codebases and widely-used open-source software.Our founding team boasts extensive expertise in data, infrastructure, security, and AI, featuring leaders from renowned organizations such as DeepMind, Databricks, Square, and Faire.About This RoleWe are in search of a Forward Deployed Engineer to engage directly with our clients, deploying and operationalizing depthfirst's security AI agents within their environments. In this role, you will serve as the technical conduit between our product offerings and enterprise security infrastructure, ensuring our AI effectively identifies vulnerabilities at scale.You will collaborate closely with clients to understand their unique security challenges, develop custom integrations on top of depthfirst's platform, and work alongside our product team to refine and generalize solutions. This position merges hands-on engineering work with in-depth customer collaboration, allowing you to influence both customer experiences with depthfirst and the evolution of our product.What You'll Be DoingIntegrate depthfirst's security AI agents into production environments for enterprise clientsEstablish strong relationships with security teams, becoming a trusted advisorTranslate client challenges into practical solutions: develop custom integrations, data pipelines, and workflows that connect depthfirst with existing security toolsAct as a liaison between customers and the product team—identify deployment patterns and collaborate to enhance platform capabilitiesEffectively communicate with a range of stakeholders, from security engineers to Chief Information Security Officers (CISOs)Manage the complete technical delivery process, from scoping and implementation to optimizationTravel to client sites as necessary to ensure successful project outcomes

About depthfirst depthfirst builds software to strengthen the foundations of modern technology. The team focuses on protecting software from vulnerabilities that threaten its reliability and security. The mission: make software safer everywhere it runs. depthfirst develops intelligent tools that find and fix critical software vulnerabilities. The company trains and scales security AI agents to uncover zero-day issues in large customer codebases and widely used open source projects. The founding team brings experience from DeepMind, Databricks, Square, and Faire, with deep backgrounds in data, infrastructure, security, and large language models. depthfirst welcomes technical professionals interested in working where AI, Security, and Infrastructure meet. Role Overview: Security Product Engineer This San Francisco-based role centers on working directly with enterprise customers to implement depthfirst's security AI agents in their environments. The Security Product Engineer acts as the technical point of contact, ensuring the AI tools detect vulnerabilities at scale within real-world systems. The position blends hands-on engineering with regular customer interaction. Security Product Engineers learn about each customer's security landscape, design custom integrations using depthfirst's platform, and partner with the product team to turn successful solutions into product features. The work shapes both how customers use depthfirst and how the product evolves. What You Will Do Work with enterprise customers to deploy depthfirst's security AI agents in production. Build strong relationships with security teams, acting as a trusted advisor who understands their needs. Translate customer challenges into practical solutions, including custom integrations, data pipelines, and workflows connecting depthfirst with existing security tools. Identify common patterns across deployments and collaborate with the product team to develop platform-wide capabilities. Communicate effectively with stakeholders at all levels, from security engineers to CISOs. Own the technical delivery process, from initial scoping through implementation and ongoing optimization. Travel to customer sites when needed to support successful deployments.

About DepthFirst AIAt DepthFirst, we are committed to reinforcing the backbone of modern civilization: software. However, vulnerabilities pose significant risks to its integrity, security, and resilience. Our mission is to innovate solutions to enhance software security.We are pioneering intelligence technologies designed to detect and remediate critical software vulnerabilities. Our focus is on training and scaling security AI agents capable of identifying zero-day vulnerabilities across extensive customer codebases and widely-used open source software.With a founding team comprising experts from leading organizations like DeepMind, Databricks, Square, and Faire, we seek talented individuals eager to work at the confluence of AI, Security, and Infrastructure.About This Role:We are in search of an accomplished Security Researcher to contribute to the development and training of AI agents specialized in vulnerability discovery and exploitation.Your role will involve creating technology that can uncover vulnerabilities at scale, akin to discovering the next Log4J, and facilitating the identification and remediation of vulnerabilities in both customer and open source codebases.We are seeking dynamic security researchers with a keen intuition for identifying, analyzing, and investigating application vulnerabilities. Collaborating with AI researchers and engineers, you will explore novel attack vectors and assist in the advancement of sophisticated detection and defense mechanisms. Your contributions will be vital in reshaping security practices for organizations worldwide.You Will Be Excited About This Role Because You Will:Develop technologies capable of identifying novel vulnerabilities at scale in both proprietary and open source codebases.Design techniques aimed at minimizing false positives through automated exploitation, proof of concept generation, and context inference.Engage closely with engineers to comprehend limitations and innovate methodologies to enhance our systems.Publish internal technical reports and contribute to security advisories as necessary.Work on a product that addresses critical security issues, already proving valuable to customers by helping them rectify significant vulnerabilities within days of implementation.

At ConductorOne, we are pioneering the future of identity security with our AI-native platform designed to safeguard every identity—be it human, non-human, or AI. Our robust automation capabilities, platform-level AI, and ready-to-use connectors provide centralized access visibility, enforce meticulous control measures, and streamline user access reviews across all applications. Trusted by industry leaders such as DigitalOcean, Instacart, Ramp, and Zscaler, our solution is user-friendly, rapidly deployable, and highly effective.As a Forward Deployed Engineer, you will work closely with customers and our internal product teams to develop integrations, automation, and customized workflows that enhance the reliability and security of identity infrastructure. Your time will be split between engaging with customers (both remotely and onsite), product engineering, and resolving customer challenges—delivering production-safe software, executing connector deployments, and transforming customer requirements into scalable product features.You'll serve as the crucial technical link connecting product, engineering, and our clients: designing and implementing connectors, automating identity workflows, and advising customers on best practices for identity controls. Expect a dynamic role—one week you might be crafting a connector for a legacy HR system, the next collaborating on product enhancements, and the following week developing tailored workflows on the ConductorOne platform.

About DepthFirst AIAt DepthFirst AI, we recognize that software underpins modern civilization, yet its vulnerabilities pose significant risks to integrity and security. Our mission is to enhance software security through innovative solutions.We are developing cutting-edge intelligence to identify and remediate critical software vulnerabilities, leveraging AI agents to discover zero-day vulnerabilities across extensive customer codebases and popular open-source software.Our founding team comprises industry leaders from DeepMind, Databricks, Square, and Faire, bringing unparalleled expertise in security and large language models (LLMs). We seek talented technical professionals eager to explore the intersection of AI, security, and infrastructure.Role Overview:We are looking for a skilled Research Engineer to contribute to the development and training of AI agents focused on vulnerability discovery and exploitation.Your work will be pivotal in creating technology capable of detecting vulnerabilities, akin to Log4J, at scale, ensuring the security of customer and open-source codebases.Ideal candidates will possess a strong engineering intuition, experience in model evaluation and benchmarks, with reinforcement learning experience being an added advantage. Your contributions will be instrumental in shaping a product that aims to revolutionize security practices for companies.Why You Will Love This Role:Develop Cutting-Edge AI pipelines tailored for the detection and exploitation of complex software vulnerabilities.Design and Maintain evaluation benchmarks that genuinely reflect the challenges faced by our users.Craft effective training methodologies and reinforcement learning environments for security coding agents.Be Part of a Solution to critical security challenges, with feedback from our valued customers revealing the immediate impact of our product.

About depthfirst depthfirst builds software security solutions to protect the integrity and resilience of critical systems. The team focuses on tackling vulnerabilities that threaten modern software, aiming to safeguard codebases across industries. Using AI-driven security agents, depthfirst uncovers zero-day vulnerabilities in both customer applications and widely used open-source projects. The company’s founders bring experience from DeepMind, Databricks, Square, and Faire, blending backgrounds in data, infrastructure, security, and AI. depthfirst welcomes thoughtful, driven people interested in working where AI, security, and infrastructure intersect. Role Overview: Channel Partnerships Lead This in-office position is based in San Francisco. The Channel Partnerships Lead will report directly to the CRO and work closely with Sales, Revenue Operations, and Marketing. The role centers on building and expanding a strong partner network as depthfirst grows. depthfirst has already gained traction with key cybersecurity value-added resellers (VARs). The next step is to strengthen these relationships and grow a partner ecosystem that drives meaningful business pipeline. The Channel Partnerships Lead will evaluate new channel opportunities, including managed security service providers (MSSPs), hyperscaler marketplaces, global systems integrators (GSIs), and potential product integration partners. This position suits someone entrepreneurial who enjoys building relationships, driving revenue through partnerships, and shaping a partner program from the ground up. Compensation rewards partner-driven pipeline and closed-won deals. What You Will Do Identify, recruit, and onboard strategic partners such as VARs, MSSPs, hyperscaler marketplace partners, and GSIs. Build and nurture strong partner relationships, enabling partners to position and sell the depthfirst platform. Drive pipeline and revenue through partnerships, collaborating with account executives on co-selling and deal execution. Develop partner enablement programs, including training, certifications, and go-to-market strategies.

About Opal Security:At Opal, we are at the forefront of modern identity governance designed for the AI era. Our intelligent access management solutions empower enterprises to innovate rapidly while maintaining robust security. Our mission is to provide clarity, control, and confidence in navigating complex enterprise environments, enabling teams to govern access without hindering innovation.About the Role:Identity management is undergoing a significant transformation. As companies deploy agents and create service accounts, many find their IAM systems struggling to keep pace. We are pioneering AI-native security solutions that adjust to this dynamic landscape, earning the trust of industry leaders like Databricks and Figma.In this role, you will serve as the technical liaison between Opal and our clientele. You'll engage with prospects and customers during pivotal phases such as sales cycles, implementations, and expansions, building solutions that ensure their success. This may involve prototyping custom integrations, architecting deployments, debugging environments, or developing code that integrates into our product. You will manage the technical relationship, allowing you to innovate, challenge norms, and foster trust through your expertise.Join us in a collaborative and enjoyable team environment where we are eager to welcome new teammates who will contribute to and grow with us.

About DepthFirst AIAt DepthFirst, we recognize that software serves as the backbone of modern civilization, yet its vulnerabilities pose significant risks to integrity, security, and resilience. Our mission is to address these security challenges head-on.We are pioneering the development of intelligent systems that autonomously identify and remediate critical software vulnerabilities. Our focus lies in training and scaling AI agents to uncover zero-day vulnerabilities across extensive customer codebases and widely-used open-source software.Our esteemed founding team brings a wealth of experience in security and large language models, featuring technical leaders from industry giants such as DeepMind, Databricks, Square, and Faire. We are in search of talented individuals eager to explore the intersection of AI, security, and infrastructure.About the Role:We are on the lookout for a seasoned Backend Engineer who will spearhead the creation of the world's first AI-native platform dedicated to autonomously identifying and resolving software vulnerabilities in code. You will be integral to developing the infrastructure that drives our security AI agents, tackling challenges related to large-scale code execution, complex agent orchestration, evaluation benchmarks, and training pipelines. We prioritize engineering excellence and secure designs capable of scaling for thousands of enterprise-level users. Your contributions will be pivotal in redefining how businesses approach security.What Excites You About This Role:Technical Leadership: Mentor team members, establish technical direction, and set best practices for backend engineering at DepthFirst.Architect and Scale: Develop complex coding agent pipelines that efficiently scan and execute large codebases to identify intricate vulnerabilities.Benchmark Development: Build, maintain, and refine evaluation benchmarks for AI agents that mirror real-world user challenges.Ownership: Take charge of our product, influencing its architecture, performance, and long-term success.Impactful Work: Participate in a project that addresses critical security issues. Our initial customers have already seen significant value in resolving vulnerabilities shortly after adopting our solution.

Join Our MissionAt Vitalize, we are dedicated to revolutionizing hospital operations by creating a future that is safe, autonomous, equitable, and cost-effective.Currently, many hospitals still rely on outdated methods like spreadsheets and manual processes for critical functions such as staffing and capacity management. This leads to inefficiencies, staff burnout, and negative patient outcomes.Vitalize offers an innovative operating system designed specifically for healthcare teams. Our platform provides real-time decision support to clinical leaders, streamlining workflows and optimizing labor costs while maximizing patient capacity across healthcare systems.Our team consists of talented individuals from prestigious institutions like Stanford and Cambridge, including former math champions and serial entrepreneurs. We are already operational in over 20 hospitals, generating significant revenue, and backed by esteemed investors. Having tripled our revenue in the last three months, we are poised for rapid growth. This is your opportunity to contribute to foundational healthcare infrastructure at a pivotal time.Role OverviewWe are seeking a Forward Deployed Engineer to be at the forefront of Vitalize’s most significant and intricate enterprise projects.This position is tailored for engineer operators eager for substantial responsibilities, direct customer interaction, and immediate technical ownership. You will work closely with large, multi-million dollar health system clients, gaining unique insights at the intersection of engineering, enterprise software, and healthcare operations.Your role will involve spending significant time on-site to understand hospital operations, assess our product's performance under stress, and identify areas for improvement. You will implement solutions, inform product development, and contribute to Vitalize's expansion among enterprise clients.This is a high-impact position with significant visibility. You will become one of the key individuals familiar with our customers' needs and operations.What You’ll DoEngage with Enterprise Clients (Approximately 50% travel)Travel frequently to customer locations, collaborating with health system partners during deployments and crucial phases.Establish trust with clinical leaders, including Chief Nursing Officers and executive stakeholders, by thoroughly grasping their workflows and limitations.Facilitate and Resolve DeploymentsWork closely with Deployment Strategists to ensure seamless transitions and effective adoption of our solutions.Quickly troubleshoot issues, identify root causes, and assist customers in overcoming obstacles.

About Flow EngineeringFlow Engineering is at the forefront of revolutionizing how humanity constructs its most intricate machines. Our platform is the premier tool for complex systems engineering, embraced by pioneering teams in sectors such as aerospace, defense, automotive, aviation, and robotics. If a company is aiming for the Moon, developing fusion energy, or planning the first interplanetary settlement, they are likely utilizing Flow Engineering to achieve those ambitious goals.We are proudly backed by Sequoia Capital, with notable angel investors including Patrick and John Collison (Stripe), David Helgason (Unity), and Kyle Parrish (Figma).About the RoleAs one of our pioneering Forward Deployed Engineers, you will operate at the crucial intersection of sales, engineering, and customer engagement. Your role involves comprehending how advanced hardware teams operate, guiding deployments, and facilitating adoption, ensuring that our customers are equipped with the insights and tools necessary to attain significant results.This position is perfect for individuals who have a background in hardware engineering and have a passion for collaborating with customers to solve complex challenges. You will empower leading hardware companies to transform their operational methodologies.What You’ll DoOwn the Technical Win: You will play a vital role in the sales process, driving custom demos and managing trial/POC execution, which is critical for securing new business for Flow Engineering.Understand and Map Customer Workflows: Collaborate with clients to gain a comprehensive understanding of their workflow, address pain points, and prioritize solutions tailored to their needs.Conduct Technical Enablement Sessions: Identify and showcase how Flow can enhance the customer’s development process through workshops, training, and collaborative solution sessions.Shape Our Roadmap: Act as the liaison between our customers and the engineering team to develop innovative solutions. Your insights will be essential in crafting the future roadmap of our product.Establish the GTM Foundation: Assist in developing and defining Flow’s activation strategies for key customers. You will contribute to the design of our technical GTM playbook, implementation guides, and training materials for future team members.About YouSolid Software Engineering Fundamentals: Proficient in designing, testing, and operating services at scale within a cloud environment.Excellent Communication Skills: Ability to convey technical concepts effectively to both technical and non-technical audiences.Customer-Centric Focus: Passionate about collaborating with customers and driven to solve their challenges.Proactive Problem-Solving: Ability to anticipate and address customer needs before they arise.

Forward Deployed Engineer – LanceDBLocation: San Francisco Bay Area (In-Person / Hybrid)Team: EngineeringJob Type: Full-TimeAbout LanceDBAt LanceDB, we are pioneering the future of data management with our open-source, cloud-native vector database and multimodal AI lakehouse. Our platform is designed using a high-performance columnar format, empowering developers and businesses to create scalable, real-time search and analytics applications that integrate vectors, structured data, and AI workflows seamlessly. With options for both embedded and managed deployment models, alongside rich SDKs in Rust, Python, and other programming languages, LanceDB is expertly crafted to enhance state-of-the-art retrieval, feature engineering, and large-scale AI systems.Role OverviewJoin our dynamic Engineering team as a Forward Deployed Engineer (FDE). In this pivotal role, you will bridge the gap between deep systems engineering and direct customer engagement. You will collaborate closely with our strategic clients in the Bay Area to architect, deploy, and optimize LanceDB in high-demand production settings.This is a highly technical, product-facing role. You will not only solve customer challenges but also contribute production-quality code and valuable insights back to LanceDB’s core product lines. Your practical experience in deploying LanceDB alongside modern data infrastructures will play a crucial role in shaping our product architecture, APIs, and overall performance.What You’ll DoLead on-site and remote technical deployments of LanceDB with enterprise clients, focusing on architecture design, performance tuning, and operational stability.Develop and maintain production-grade code in Rust and Python for customer integrations and internal tools.Contribute code upstream to LanceDB’s core repositories, including bug fixes, feature enhancements, and architectural adjustments based on client needs.Gather and relay structured product feedback from customer interactions to product and engineering teams, shaping future roadmaps and designs.Integrate LanceDB into existing data and AI infrastructure stacks like Spark and Ray.Troubleshoot and resolve complex challenges related to distributed systems and cloud environments.

About HappyRobotHappyRobot is revolutionizing the real economy with its AI-native operating system. Our innovative platform integrates real-time data, specialized AI workers, and orchestrating intelligence to empower enterprises in managing complex and mission-critical operations with unparalleled autonomy.Our AI operating system continually accumulates knowledge, optimizes processes, and evolves over time. We are initially focusing on supply chain and industrial-scale operations, where resilience, speed, and continuous improvement are paramount—allowing humans to dedicate their efforts towards strategy, creativity, and high-value activities.With $62 million raised to date, including a recent $44 million Series B funding round in September 2025 and backing from renowned investors such as Y Combinator (YC), Andreessen Horowitz (a16z), and Base10, we are committed to assembling a world-class team. We seek individuals with unyielding drive, exceptional problem-solving skills, and a passion for pushing boundaries in a dynamic and fast-paced environment. If this aligns with your aspirations, HappyRobot is the place for you.Role OverviewWe are on the lookout for a talented and adaptable Forward Deployed Engineer to join our dynamic team. In this pivotal role, you will leverage your technical expertise and outstanding communication abilities to work directly with customers, helping them derive maximum value from the HappyRobot AI platform. Your responsibilities will include customer onboarding, implementation, and ongoing support, along with contributions to product development and innovation.At HappyRobot, we maintain a culture of collaboration, devoid of rigid hierarchies. We build, we execute, we take ownership, and we are deeply invested in our customers' success.

About SpeakeasyAt Speakeasy, we aspire to unleash the full potential of APIs, enabling developers to innovate rapidly. Our mission is to assist companies in Building, Testing, and Distributing top-tier APIs. With our comprehensive suite of OpenAPI-native tools, API producers have access to a robust toolkit for designing superior APIs, ensuring governance of API artifacts, and delivering seamless integrations across various ecosystems via production-ready SDKs, AI agent-compatible MCP servers, Terraform Providers, and AI-enhanced API documentation.Our clientele includes renowned tech leaders and Fortune 100 companies such as Mistral AI, Vercel, Gusto, Docusign, and Verizon. By partnering with Speakeasy, these organizations significantly reduce integration time, unlock new revenue streams, and alleviate workloads for their engineering teams.About the RoleAs a Forward Deployed Engineer, you will be pivotal in our customer engagements, taking charge of the hands-on, technical deployment of Speakeasy at key accounts. You will work independently to ensure successful implementations and act as a crucial technical partner for our clients. Your role will involve iterating on our core product and collaborating closely with customers to drive and implement enhancements that align with their objectives.About YouYou possess significant backend/API engineering experience, ideally spanning 6-8 years, and are eager to delve into the technical intricacies of our customers’ APIs and SDKs, leading comprehensive technical deployments with clients and partners.You've previously served as a founding engineer, solutions engineer, or technical founder.You exhibit exceptional customer empathy, adept at connecting customer goals with Speakeasy's offerings.You demonstrate a strong sense of ownership and autonomy, rapidly acquiring new knowledge and identifying areas for impactful contributions, driving successful outcomes with clients.You can gracefully manage multiple customer relationships and navigate potentially competing priorities.You leverage insights from customer interactions to influence product roadmaps and documentation, fostering continuous improvement in customer experience.What You Should Know About UsOur team operates across PST and GMT time zones, which presents both advantages and challenges. We strive for asynchronous processes and you will play a key role in enhancing these systems.We are a close-knit team of around 40 individuals, fostering a collaborative and supportive environment while emphasizing high ownership and accountability.

Chalk builds a platform designed to simplify and accelerate machine learning applications. The company combines the speed of Rust with approachable tools, helping developers tackle issues like complexity, latency, and scalability in ML workflows. Businesses use Chalk to support use cases such as fraud detection, identity verification, and clean energy optimization. The company recently raised $50 million in Series A funding, led by Felicis. More details can be found in this Reuters article. Role overview This Forward Deployed Engineer role is based in San Francisco and requires full-time, in-person presence (five days a week). As an early team member, you will work closely with clients and Chalk’s machine learning teams to deliver tailored technical solutions and improve the company’s infrastructure. Projects span industries like healthcare, finance, and recommendation systems, with applications including cancer detection, fraud prevention, and product recommendations. What you will do Design and implement Chalk’s technology solutions for customers, learning the platform’s infrastructure and optimizing integrations. Work closely with Engineering and Sales teams to deliver projects. Act as the main technical contact for clients during both pre-sales and post-sales, supporting onboarding and ongoing needs. Advise clients as their requirements change and new product features become available. Contribute to hiring by participating in Engineering team interviews. Requirements Technical background in software development or machine learning model development. Minimum of 2 years of experience in backend software engineering. Proficiency in Python and SQL. Strong teamwork and collaboration skills. This position is not hybrid. While Chalk offers flexibility for unavoidable conflicts, the expectation is a full-time, in-office schedule.

Human Delta serves as the AI adoption catalyst for American enterprises, enabled by leading venture capital firms such as Susa Ventures, Wischoff Ventures, Afore Capital, and the Kleiner Perkins Scout Fund, alongside esteemed angels from renowned research institutions and financial entities. Our talented engineering team is dedicated to creating an operational framework that ensures enterprise AI is reliable, secure, and scalable.The Role:As a pivotal member of Human Delta, you will contribute to our mission of facilitating AI adoption in large enterprises. Our platform is utilized by a diverse range of users, from technical teams to operational leaders, who depend on our solutions to gain insights into their systems, understand process dynamics, and observe AI behavior in practical scenarios.In this role, you will operate at the confluence of engineering, product development, and operations. Your responsibilities will include converting complex real-world challenges into actionable technical strategies, making impactful architectural choices within established constraints, and working closely with founders and clients to tailor our platform to the rigorous demands of environments where precision and dependability are paramount.We pride ourselves on our agility and maintain a high standard for clarity, accuracy, and code maintainability.About the Role:Join as an early engineer with significant equity opportunitiesThis is a full-time position located in San Francisco, CAEnjoy flexible working hoursReceive comprehensive health, vision, and dental coverage, with 100% of the premium coveredCollaborate closely with founders and early adoptersThrive in a high-ownership culture with rapid development cyclesWhat Makes You a Good Fit:Proficient in navigating the technology stack, from APIs and data layers to user interfaces and client-facing toolsExcellent communication skills and a confident approach to engaging directly with enterprise clientsAbility to distill complex, ambiguous problems into clear and effective solutionsStrong intuition for product design, user experience, and system architectureBonus Points:Familiarity with large language models (LLMs), retrieval systems, knowledge bases, or search technologiesExperience with enterprise software platforms (CRMs, ticketing systems, content management systems)Previous experience handling large or complex datasetsA solid understanding of AI technologies and their practical applications

About GigaGiga has recently secured $61 million in Series A funding and already boasts several customers, including DoorDash. We're pioneering the future of customer experience with real-time AI agents capable of understanding emotions, resolving issues instantly, and scaling across the world's largest enterprises.This is an exciting time for Giga as we embark on ambitious goals to become the leading AI platform for enterprise automation, driven by our advanced voice superintelligence. Great engineering talent is crucial to help us realize this vision.Our engineers have the autonomy to make significant impacts on millions of lives daily, and this role provides a unique opportunity to join a company with visionary founders, proven commercial success, and a clear trajectory towards becoming a generational brand.To learn more about us, check out:Voice AI startup Giga raises $61M Series ADoorDash and Giga PartnershipIf this opportunity resonates with you, we encourage you to apply!Role OverviewWe are on the lookout for a Forward Deployed Engineer to join our teams in San Francisco and New York. In this role, you will be the technical liaison between Giga and our clients, responsible for building and deploying sophisticated AI solutions tailored to customer needs.Your Responsibilities:End-to-End Customer Engagement: Conduct discovery calls and demos, develop and maintain exceptional AI agents, participate in customer interactions, and serve as the primary point of contact in a dynamic environment.Agent Development Lifecycle Ownership: Rapidly build and prototype solutions, establish CI/CD pipelines, monitor real-time usage, iterate towards objectives, debug live issues, communicate with clients, and document best practices to enhance efficiency in future projects.Feedback Integration with Product & Platform: Identify unmet needs, prototype new features, directly contribute to the codebase, and collaborate with core teams to enhance our platform for all customers.Qualifications:Technical Proficiency: Strong understanding of React, Python, API integrations, and tool calls.Interpersonal Skills: Excellent communication and relationship-building capabilities for effective client interactions.

Join Vooma as a Forward Deployed EngineerIn the rapidly evolving landscape of enterprise software, we are witnessing a transformative shift from traditional "systems of record" to innovative "systems of automation." At Vooma, our goal is to harness the power of AI to revolutionize the logistics sector, particularly focusing on the $800+ billion trucking industry in the United States.Vooma is dedicated to developing an advanced AI orchestration platform that will empower freight brokers and trucking companies to enhance their operations, allowing them to secure more business and execute freight seamlessly. Our AI agents are designed to automate critical workflows across various communication channels, including voice, email, and text.Backed by leading investors such as Index Ventures, Craft Ventures, and Y-Combinator, we are positioned to lead the charge in transforming logistics through automation.Your RoleAs a Forward Deployed Engineer on our founding team, you will play a pivotal role in bridging the gap between our cutting-edge AI technology and the operational systems within the freight industry. Your responsibilities will include collaborating with enterprise clients to design, develop, and implement tailored integrations that bring our AI solutions into their daily operations.If you are known for your ability to tackle challenges and drive progress regardless of the circumstances, you will thrive in this role. You will enjoy engaging with customers, solving intricate technical problems, and witnessing the immediate impact of your work on multi-billion dollar businesses.Key ResponsibilitiesConduct discovery sessions with freight brokers, carriers, and IT teams to identify pain points, data sources, and success metrics.Design comprehensive solutions by mapping data flows, selecting appropriate models, and developing integration architectures compatible with existing TMS/ERP systems.Rapidly build and deploy high-quality code (Python/TypeScript), set up APIs, webhooks, and ETL pipelines to connect Vooma agents to client systems.Iterate quickly by releasing incremental updates, validating performance in production, and refining features based on user feedback.

About SuperAnnotateSuperAnnotate empowers leading AI teams worldwide to develop responsible and advanced models driven by high-quality human data. As a rapidly growing Series B startup, we bridge the gap between cutting-edge AI innovation and the data that fuels it. Our global network of expert specialists, scalable managed operations, precise talent matching, and full project transparency guarantees exceptional data quality at scale. Trusted by industry leaders such as Databricks and ServiceNow, and backed by prominent investors like NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC, SuperAnnotate proudly holds the title of the highest-rated AI data company on G2 for multiple consecutive years, including 2025.Your Role and ImpactAs a Forward Deployed Engineer, you will be integral in executing complex coding projects that drive next-generation LLM and GenAI solutions for enterprise clients. This role transcends mere coding; you will design coding data roadmaps, leverage your technical acumen for large-scale initiatives, and oversee the operational delivery of projects involving over 100 global coder contractors. Your commitment to quality, speed, and innovation will directly influence how enterprise AI projects come to fruition at scale.This is a full-time hybrid position based in San Francisco.

About UsServal is a pioneering AI-driven automation platform revolutionizing the operational landscape for enterprises. We develop intelligent agents that comprehend complex real-world workflows and execute them seamlessly—transforming traditional manual processes and outdated legacy systems into adaptable, learning software solutions. Established in early 2024, Serval has quickly gained the trust of industry leaders such as General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada, automating high-volume and high-friction operational tasks across their organizations.At the heart of Serval lies a sophisticated agentic AI platform that translates natural language into production-ready workflows. Our agents not only respond to requests but also reason, take action across various systems, and enhance their capabilities over time. What initiated with operational use cases has rapidly expanded into a comprehensive AI automation layer applicable across IT, HR, Finance, Security, Legal, and Engineering.Our vision is to eradicate repetitive manual labor within enterprises, empowering teams through intelligent automation. In the long run, we aim to establish a universal AI operations layer—a network of agents that spans business functions and manages the workflows essential for the success of modern companies.Supported by top-tier investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others, and founded by product and engineering visionaries from Verkada.Position OverviewAs a Forward Deployed Engineer at Serval, you will play a key role in introducing cutting-edge IT automation to some of the most intricate enterprises globally. You will engage directly with customers to transform chaotic, high-stakes workflows into dependable AI-powered systems—delivering production code that significantly impacts both revenue and product trajectory. This role is ideal for passionate builders seeking genuine ownership, tangible stakes, and a clear connection between their contributions and the company's growth.You will operate at the crossroads of product development, engineering, and customer engagement—translating real-world complexities into scalable solutions and promoting the adoption of our AI automation platform.

fal is at the forefront of developing the most rapid and scalable infrastructure for AI inference. Our fal Serverless platform powers over 1,300 endpoints on the fal Marketplace, efficiently managing tens of millions of requests daily across various production workloads. Enterprises leverage fal Serverless to seamlessly deploy, operate, and scale custom AI models without the burden of infrastructure management. Our platform excels in autoscaling, observability, and operational efficiency, all handled through fal’s intuitive UI. Initially designed as internal infrastructure to support fal’s own scale, Serverless was publicly launched for enterprise clients in early 2025 and has since evolved into a core revenue-generating product experiencing rapid adoption. As one of the fastest-growing AI startups, fal has reached Series D funding with a valuation of $4.5 billion, all while maintaining a lean team of approximately 70 employees. Joining us means becoming an early member of a dynamic team where your contributions directly influence a foundational product.