Deployment Engineer

Join Netic, the leading AI revenue engine powering essential services that form the backbone of the American economy.With $43 million in backing from Founders Fund, Greylock, Hanabi, and Dylan Field, who led our Series B, we have enabled our clients to secure hundreds of thousands of jobs across service sectors in North America. Companies are now operating e…

Join OSARO as a Deployment Engineer and play a critical role in bringing our innovative automation solutions to our customers. At OSARO, we blend cutting-edge software with advanced machine learning to enhance the capabilities of industrial robots, enabling them to perform a diverse range of tasks in modern factories and warehouses. Our solutions empower robots with the autonomy necessary for complex pick-and-place operations while seamlessly integrating with our clients' sophisticated software systems.In this position, you will be a key advocate for our customers, deeply understanding both OSARO's technology and the specific needs of our clients. Your responsibilities will encompass every stage of the customer journey—from designing tailored solutions to planning and executing successful implementations, including remote and on-site deployment support. You will work closely with our engineering teams, gaining insights into hardware, deep learning, computer vision, motion planning, and robotic control to troubleshoot and resolve any technical challenges that arise.We seek individuals who are passionate about their work, take ownership of their projects, and thrive in a challenging environment. You should be a team player who values direct communication and follows through on commitments.

About UsSpecter is pioneering a software-defined control plane for the physical world. Our mission is to safeguard American businesses by providing them with comprehensive visibility over their physical assets.We are building an innovative hardware-software ecosystem based on advanced multi-modal wireless mesh sensing technology, which will reduce the cost and time of deploying sensors by a factor of ten. Our platform aims to serve as the perception engine for a company's physical footprint, facilitating real-time visibility and autonomous management of operations.Founded by passionate visionaries from backgrounds in Anduril, Tesla, Uber, and the U.S. Special Forces, we are a small but rapidly growing team focused on empowering our partners in the evolving landscape of physical AI and robotics.The RoleWe are on the lookout for resilient and adaptable Deployment Operations Engineers who can seamlessly blend hands-on installation with technical troubleshooting. Your role will be critical in ensuring our systems are installed correctly, powered up on the first attempt, and maintain operational integrity—whether that involves running conduit, aligning antennas, commissioning radios, or documenting installations for regulatory compliance.This position is ideal for those who thrive in outdoor environments, excel under pressure, and are committed to delivering durable and high-quality work. If you have experience in the military, trades, or other high-stakes environments and want to apply that mindset to the forefront of technology, this is the place for you.

At Meter, we strive to revolutionize the way networks are deployed, ensuring they are built for optimal performance and scalability. As a Network Deployment Engineer, you will play a vital role in transforming customer requirements into robust wired and wireless network solutions using our proprietary tools. You will spearhead all technical choices throughout the design and deployment process while assisting our clients during the network activation and validation stages. Your technical expertise will be crucial in enhancing deployment efficiency and ensuring customer satisfaction, allowing Meter to meet the increasing demand for dependable internet infrastructure.Your contributions will include:Crafting high-performance networks: Utilize Meter’s specialized toolkit to design both wired and wireless networks that are both resilient and efficient.Driving key technical decisions: Oversee technical aspects of network design and deployment until successful network launch and validation.Facilitating network activation: Provide troubleshooting and support for essential devices and network features during the activation process to guarantee a seamless customer experience.Assisting with on-site installations: Travel to complex customer locations as necessary to offer installation and validation support, ensuring successful deployments.Collaborating across teams: Work alongside Deployment Project Managers, Sales Engineers, and Product Engineering teams to innovate the next generation of Meter’s deployment and networking solutions.Why Choose Meter?The internet powers our world—every email, purchase, and video call relies on effective network communication. Yet, traditional networks remain outdated, fragile, and challenging to set up within enterprise environments.Meter was founded to create superior networks. Our journey began with designing and building our own enterprise hardware, user-friendly software, and streamlined operations to achieve outstanding customer outcomes. Today, we deploy these networks on a large scale, supporting prominent organizations such as Bridgewater, Lyft, and Reddit to keep their teams connected and productive across numerous locations.Our vision at Meter is straightforward: we anticipate a future where internet usage will only increase. We are confident that our comprehensive networking stack will empower businesses to operate as seamlessly and reliably as modern utilities.

Role overview The Partner AI Deployment Engineer at OpenAI focuses on delivering AI solutions built on Amazon Web Services (AWS). The position involves close collaboration with partners to bring OpenAI technologies into their products and workflows. This role is based in San Francisco. What you will do Deploy AI solutions using AWS infrastructure Work with partners to integrate OpenAI technologies into their systems Troubleshoot technical challenges and support successful implementation

Join Rockstar, a pioneering company dedicated to revolutionizing enterprise accounting by leveraging powerful integrations, intuitive design, and AI-driven automation. Our platform consolidates processes into a user-friendly interface, allowing accounting teams to focus on strategic, high-value tasks while reducing resource consumption.Our team comprises elite engineers and finance professionals from prestigious firms like Robinhood, Bolt, EY, Facebook, Twitter, Netflix, Amazon, Google, and Airbnb. With extensive industry experience, we are reshaping the way businesses handle their financial management.Backed by prominent Silicon Valley investors, we have successfully raised the largest seed round in our category, enabling us to launch a fully operational product and onboard several major clients.As an AI Deployment Engineer, you will:Collaborate with account executives to navigate complex deal cycles involving multiple stakeholders.Oversee and execute technical proof-of-concept (POC) processes.Optimize prompts and models to ensure optimal AI performance for our clients.Develop custom modules to facilitate successful client launches.Create and present tailored demonstrations based on customer business needs.Draft a comprehensive implementation scoping document for each customer.Integrate with various transaction systems, including revenue, billing, and accounts payable.Engage in customer-facing activities, including technical discovery calls.Collaborate with product and engineering teams to fulfill customer requests and advocate for their needs.Troubleshoot, debug, and enhance software to maintain reliable and robust performance in production environments.Provide ongoing technical support and maintenance for deployed solutions.Your qualifications include:Minimum of 2 years of experience in forward deployment engineering, sales engineering, implementation engineering, or solution engineering.Bachelor’s degree in any engineering discipline; computer science preferred but not mandatory.Excellent verbal and written communication skills, with the ability to effectively interface with customers.Self-motivated and proactive mindset.Capability to thrive in a high-pressure, fast-paced startup culture.Proficiency in programming languages such as Golang, Typescript, and Python.Adept at identifying customer needs and delivering innovative solutions.Experience collaborating with Account Executives on technical sales processes for Enterprise customers.

About Our TeamJoin the Codex Deployment Engineering team at OpenAI, where we empower organizations to seamlessly integrate advanced coding tools throughout their software development lifecycle. We are more than technical partners; we are collaborators who accelerate the planning, building, and delivery of software for a diverse range of clients, from innovative startups to established global enterprises.About the RoleWe are on the lookout for a technically proficient and creatively inclined AI Deployment Engineer who is not just a user of AI coding tools but is passionate about enhancing developer productivity. In this role, you will work closely with engineering leaders and hands-on developers to create, validate, and expand advanced AI workflows. You will often leverage Codex to develop prototypes, demos, integrations, and automations that our customers will utilize.This multifaceted position blends technical architecture, product strategy, and customer engagement. Collaborating with Sales, Solutions Engineering, Product Management, Applied Engineering, and the broader Codex team, you will advocate for customer needs, influence product direction, and facilitate the successful deployment of intelligent coding systems across some of the most impactful companies worldwide.Key Responsibilities:Act as the primary technical expert on OpenAI Codex for a select group of clients, working closely with their engineering teams to enhance coding workflows.Collaborate with customers to design and implement AI-powered development workflows, from rapid prototyping to scalable production.Create high-quality demos, reference implementations, and workflow automations using Codex in your development process.Facilitate large-scale workshops, in-depth technical sessions, and hands-on training that empower engineering teams to adopt AI coding tools effectively and safely.Contribute technical content such as examples, guides, patterns, and best practices to the OpenAI Cookbook, helping the broader developer community enhance their use of Codex.Gather valuable insights from actual customer deployments and translate them into actionable product proposals and feedback for internal teams.Influence customer strategies and decision-making by illustrating how AI coding tools enhance their software development lifecycle (SDLC), technical roadmap, and organizational goals.

Join Crusoe as a Staff Network Deployment Engineer in our Lab division. In this pivotal role, you will spearhead the deployment and optimization of our cutting-edge networking technologies. Your expertise will be crucial in ensuring that our systems are robust, efficient, and ready to meet the demands of our innovative projects.

Join Anthropic as a Software Engineer on our Launch Engineering team, where your focus will be on designing and building cutting-edge deployment infrastructure for inference code. You will ensure our AI models, at scale, are continuously and seamlessly deployed to production. This role is pivotal in optimizing resource management while maximizing deployment efficiency. Your expertise will be essential in navigating complex deployment challenges, validating systems, and ensuring minimal disruption to our user services. If you thrive in tackling ambitious problems at the intersection of automation and resource management, this position offers the opportunity to make a significant impact.

About Reducto Reducto helps AI teams process complex, real-world enterprise data with high accuracy. Most enterprise information lives in unstructured formats like PDFs and spreadsheets. Our vision models read these documents as effectively as a person, supporting product development, model training, and process automation at scale. Reducto has seen rapid growth, revenue has increased 8x year-over-year. We work with a range of customers, from leading AI teams such as Harvey, Vanta, and Scale, to major corporations including FAANG companies and top trading firms. With over $100 million raised from investors like A16z, Benchmark, and First Round Capital, we are expanding our team in San Francisco. Role Overview: Infrastructure Engineer for Customer Deployments This role focuses on deploying Reducto’s platform into customer environments, which can include Virtual Private Clouds (VPCs) and on-premises bare metal. Each deployment brings its own set of hardware, networking, security, and reliability requirements. The engineer in this position works directly with customer teams to ensure successful, secure, and reliable deployments. Rather than building internal platforms, this role is about hands-on implementation and direct collaboration with enterprise customers’ infrastructure, security, and platform teams. The work bridges Reducto’s technology with customer systems, requiring both technical depth and strong communication skills. Main Responsibilities Plan, configure, test, and implement end-to-end deployments of Reducto in customer environments. Work closely with enterprise IT, security, and platform teams to understand their infrastructure and security policies, and design deployment strategies that fit their needs. Develop a deep understanding of the hardware supporting Reducto’s in-house machine learning models to ensure deployments run smoothly on customer systems. Build monitoring, telemetry, and phone-home solutions that provide visibility into customer-managed deployments while maintaining security standards. Troubleshoot and resolve infrastructure issues specific to each customer, such as Kubernetes configuration problems or cloud IAM challenges, to reduce downtime. Lead incident response for customer deployments, maintaining high operational standards. Document best practices and create reusable patterns for future deployments. Location This position is based at Reducto’s San Francisco office.

Join Our Innovative TeamAt OpenAI, our AI Deployment Engineering team is dedicated to the safe and impactful integration of Generative AI applications for developers and enterprises alike. Acting as trusted advisors and thought leaders, we collaborate closely with our customers to curate an effective portfolio of GenAI use cases tailored to their industries, propelling these solutions into production through expert technical guidance. As the head of our Solutions Architects within the Digital Native segment, you will empower technology and software firms to revolutionize their operations through advanced solutions, including customer service enhancements, automated content generation, and pioneering applications utilizing our most cutting-edge models.Your RoleWe are on the lookout for a visionary leader who will spearhead the technical success of our key technology and software clients across the Americas. In this pivotal position, you will oversee the entire implementation process, ensuring a smooth platform integration. As the voice of our clients, you will synchronize technical teams to provide a cohesive and outstanding experience throughout the customer journey. Your success will be gauged by the deployment of live applications, heightened API engagement, and compelling customer narratives that highlight the transformative power of our technology.This position is based in our San Francisco office, embracing a hybrid work model with three in-office days per week, and we offer relocation support for new hires.Key ResponsibilitiesDevelop and execute the strategy and operational framework of the AI Deployment Engineering team, ensuring alignment with organizational goals and the dynamic needs of our clients.Lead, nurture, and inspire a high-performing team of Solutions Architects to achieve remarkable customer outcomes, evidenced by production applications and increased API utilization.Act as the technical champion for our clients, translating their requirements into actionable insights for Research and Applied Product/Engineering roadmaps.Serve as the primary technical escalation resource during development phases, building trust and maintaining open lines of communication with executive stakeholders.Position yourself as an industry thought leader, advocating for the responsible and innovative use of our technology across various sectors.Ideal Candidate ProfilePossess 8+ years of experience in a technical, customer-facing role, particularly with C-level technical and business executives.Demonstrated leadership in managing complex projects and cross-functional teams.Exceptional communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.Strong analytical and problem-solving skills, coupled with a passion for innovative technology.

Join Cloudflare as an Infrastructure Deployment Engineer Intern and gain hands-on experience in the dynamic world of cloud infrastructure. In this role, you will work closely with our engineering team to assist in the deployment and management of robust cloud solutions, ensuring high availability and performance.Your contributions will directly impact our operations and client satisfaction as you explore the intricacies of cloud technologies and operational efficiencies.

Join Cloudflare as a Software Engineer specializing in resiliency and scalable deployments. In this role, you will work alongside a dynamic team to enhance our cloud infrastructure, ensuring it remains robust and scalable to meet the demands of our global customer base. You will have the opportunity to innovate and implement solutions that improve service reliability and performance.

About Our TeamThe AI Deployment Engineering (ADE) team at OpenAI is dedicated to ensuring the safe and effective deployment of Generative AI applications for both developers and enterprises. As trusted advisors and technical collaborators, we guide our clients in crafting and executing their AI adoption strategies following the sales process. Our mission is to build a robust portfolio of GenAI use cases tailored to various industries, driving initiatives from prototype stages to full production through hands-on technical support and partnership.As a Partner AI Deployment Engineer, you will assist systems integrators and their most pivotal clients in transforming their business landscapes through innovative solutions, including customer service automation, content generation, and cutting-edge applications utilizing our latest models.About the RoleWe seek a motivated solutions leader with a product-oriented mindset to take on the role of the first Partner AI Deployment Engineer. You will spearhead the technical engagement with our systems integrators (covering GSIs, RSIs, and boutique SIs) and ensure their clients derive substantial business value from GenAI. Your role will involve helping partners identify valuable use cases and providing technical guidance during the implementation of AI solutions. Your contributions will expedite partners' ability to unlock distribution and adoption, ensuring they achieve exceptional results for our shared clients while upholding high-quality standards. You will work closely with Sales, Solutions Engineering, Applied Research, and Product teams, reporting to the Head of Solutions Architecture.This opportunity is based in San Francisco, CA, and follows a hybrid work model, requiring three days in the office per week, with relocation assistance available for new hires.Key Responsibilities:Act as a technical lead and thought partner for GSIs, RSIs, and boutique SIs, collaborating to ideate and develop innovative applications on our API for their clients.Engage with senior stakeholders from SIs and clients to identify optimal GenAI applications relevant to their industries and create a comprehensive backlog to support their AI initiatives.Directly intervene to expedite customer time-to-value by developing hands-on prototypes or delivering impactful strategic insights.Cultivate and maintain relationships with SI and customer stakeholders to ensure the successful deployment and scalability of applications.Standardize solution packages and architectural patterns to streamline deployment timelines for customers.

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.

Join Cloudflare as a Software Engineer focusing on Workers Deployment and Configuration. In this role, you will be an integral part of our engineering team, working to enhance our deployment processes and improve configuration management for our serverless platform. You will collaborate with cross-functional teams to deliver high-quality software solutions that meet the needs of our clients.

Forward Deployment EngineerAs a Forward Deployment Engineer at Firecrawl, you'll engage directly with our clients to implement Firecrawl in diverse real-world scenarios, facilitating integrations and transforming customer requirements into scalable solutions and enhancements to our product. This role is deeply hands-on and customer-oriented—perfect for those who thrive on addressing intricate challenges in real-time and delivering effective, practical solutions swiftly.Salary Range: $150,000–$250,000/year (This range applies to U.S.-based employees; compensation for those outside the U.S. is adjusted according to local cost of living. For more details, visit our compensation page.)Equity Range: Up to 0.10%Location: San Francisco, CA (Hybrid) OR RemoteJob Type: Full-Time (SF) OR Contract (Remote)Experience: 3+ years or equivalent experience in shipped systems.Visa Requirements: U.S. Citizenship/Visa required for SF; Not applicable for Remote roles.

About Our TeamAt OpenAI, our AI Deployment Engineering team is dedicated to facilitating the safe, seamless deployment of cutting-edge Generative AI applications for developers and enterprises. We pride ourselves on being trusted advisors and strategic partners for our clients, helping to curate a robust backlog of GenAI use cases tailored to their industry needs and guiding them through the production process with exceptional technical expertise. Our clientele is diverse, ranging from innovative startups to established global corporations.About the RoleWe are on the lookout for a highly skilled, business-savvy AI Deployment Engineer who is passionate about shaping the future of advanced AI in collaboration with our dynamic startup customers. You will engage with some of the most groundbreaking AI startups globally, guiding them through the stages of ideation, development, delivery, and scaling, thereby enhancing and maximizing the value of their projects on our platform. This position offers the chance to work on pioneering use cases leveraging our API, serving as a vital link in aggregating and conveying high-quality product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, reporting directly to the Startups AI Deployment Lead.This role is based in our San Francisco headquarters, operating under a hybrid model that requires 3 days in the office each week, with relocation assistance provided for new hires.Your Responsibilities:Collaborate intimately with strategic startup clients, serving as their technical advisor to innovate applications on our API and swiftly transition from ideation to scalable solutions.Offer proactive insights to enhance business impact and expedite application development.Engage in experimentation and prototyping with customers, showcasing practical applications.Contribute to open-source initiatives, disseminating knowledge, codifying best practices, and developing valuable resources.Aggregate and relay insightful feedback to the Product and Research teams.Cultivate relationships within the startup ecosystem, acting as a technical ally to both individual clients and the broader community.You Will Excel in This Role If You:Possess 5+ years of experience as a software engineer, ML engineer, or in a related role, preferably within a startup environment; experience as a founder or founding engineer is a plus.

About Vapi:At Vapi, we are pioneering the transition to voice as humanity's primary interface.We offer the most customizable platform for deploying voice agents in the industry.With rapid growth, we have attracted over 600,000 developers in just two years, adding 2,000+ daily.Engage with Vapi now!Why This Role Matters:As we expand our enterprise presence, strong post-sales leadership is essential for enhancing customer retention, growth, and long-term value.Managing enterprise deployments involves intricate, cross-functional collaboration, requiring a dedicated leader to ensure successful execution and outcomes.This position will help shape and optimize our post-sales engagement model, significantly influencing our Net Revenue Retention metrics.Your Responsibilities:First 30 Days:Manage a portfolio of enterprise accounts and cultivate trusted relationships with key stakeholders.Gain in-depth knowledge of each customer's deployment architecture, use cases, and criteria for success.Evaluate current health metrics, renewal timelines, usage patterns, and engagement frequency.Coordinate with FDE, CSE, Sales, and Product teams on ongoing projects and deployment priorities.Next 60 Days:Establish a regular schedule for account syncs based on account tiers.Implement proactive health monitoring through usage data analysis, stakeholder engagement, and sentiment tracking.Start identifying renewal risks and opportunities for expansion within your portfolio.Conduct structured Quarterly Business Reviews (QBRs) for Tier 1 and Tier 2 accounts with executive-level reporting.After 90 Days:Initiate renewal discussions starting 120 days prior to expiration and collaborate with Account Executives on commercial strategies.Reveal qualified expansion opportunities bolstered by usage data and deployment success metrics.Enforce service tier boundaries to maintain the integrity of our offerings.

About Our TeamThe Technical Success team at OpenAI is pivotal in ensuring the seamless and secure deployment of ChatGPT and OpenAI API applications for both developers and enterprises. Acting as trusted advisors, we empower our customers to maximize the value derived from our innovative models and products.Within this team, the AI Deployment Engineering group is dedicated to supporting high-impact and strategic partners. We engage collaboratively to overcome technical challenges, provide in-depth expertise, and co-create groundbreaking ecosystem experiences that showcase the enhanced benefits of partnering with OpenAI.About the RoleWe are seeking an AI Deployment Engineer to play a crucial role in shaping the future of OpenAI’s partner ecosystem within the ChatGPT domain across various applications and commerce. As the primary technical resource for our strategic partners, you will lead solution design efforts and co-develop innovative experiences that fully leverage our platform's capabilities.You will provide expert technical guidance while collaborating with our Partnerships, Product, Engineering, and Go-To-Market teams, reporting directly to the Technical Success department.This position is based in our San Francisco or New York City office, utilizing a hybrid work model of three days in-office each week, with relocation assistance available for new hires.Key Responsibilities:Deliver outstanding partner experiences by providing technical expertise, scoping use cases, and aiding in the development of applications within ChatGPT and commerce checkout processes alongside technical stakeholders and strategic partners.Collaborate with our Partnerships team to design and support ecosystem integrations, ensuring technical feasibility and impactful launches.Advise partners on best practices for utilizing the OpenAI API and ChatGPT to develop secure, scalable, and unique experiences.Act as the initial point of contact for inquiries related to design, security, compliance, and architecture, escalating complex requirements to internal experts when necessary.Develop and sustain documentation, implementation guides, and FAQs addressing common partner requirements and technical hurdles.Collect partner feedback to represent the ecosystem's voice within internal teams, influencing product roadmaps and future partner initiatives.