AI Deployment Engineer - San Francisco, CA

🚀 About WRITERAt WRITER, we empower the world's leading enterprises to harness the power of AI in their operations. Our mission is to enhance human capabilities through advanced superintelligence, demonstrating the potential of reliable AI to bridge the gap between IT and business teams for comprehensive enterprise transformation. With our cutting-edge end-…

About Our TeamAt OpenAI, our AI Deployment Manager team collaborates with visionary organizations to transform innovative AI technologies into impactful solutions. We excel in facilitating technical enablement and adoption, guiding clients on effectively integrating OpenAI’s products into their workflows, teams, and processes.Our initiatives encompass structured workshops, technical enablement sessions, and adoption programs designed to transition customers from initial interactions to confident and scalable usage. We collaborate closely with Sales, AI Success Engineers, Solutions Engineering, and Product teams to ensure our clients are not only empowered but also positioned for long-term success as our platform continues to evolve.Our clientele ranges from rapidly-growing digital enterprises to the largest global corporations, government agencies, and educational institutions. Each engagement represents a chance to maximize the benefits of AI in the way individuals work, create, and innovate. This role is pivotal in achieving that goal.About the RoleThe AI Deployment Manager is a specialized post-sales enablement role, focused on delivering transformative enablement and adoption services across OpenAI’s diverse product offerings. This position is responsible for crafting and executing technical enablement experiences that uphold a repeatable adoption framework—fostering sustained engagement, broadening usage, and delivering measurable business outcomes across OpenAI’s product suite, including ChatGPT Enterprise, Codex, Agents, and our API. This entails assisting customers in understanding and effectively applying deployment harnesses, evaluation layers, and operational controls essential for reliable utilization.This position combines strong technical fluency, instructional design expertise, and customer advisory skills. You will facilitate live trainings, workshops, and adoption interventions for diverse audiences ranging from technical builders to executive leaders, guiding customers on not only the capabilities of OpenAI’s products but also on practical usage in real-world applications.Success in this role is measured by enhancing customer confidence, increasing product adoption, supporting successful launches of new features, and assisting clients in translating technical functionalities into tangible business results.This position is located at our San Francisco headquarters, operating under a hybrid work model of three days in the office per week, and we offer relocation assistance for new team members.In this role, you will:Oversee the technical enablement of OpenAI products, including ChatGPT Enterprise, Codex, Agents, and API capabilities, defining effective enablement patterns to support adoption...

About BroccoliAt Broccoli, we are revolutionizing the $500 billion home services market by developing the ultimate AI operating system. Our cutting-edge technology enhances various trades, including HVAC, roofing, and plumbing, by maximizing revenue, elevating customer experiences, and streamlining internal operations. Our approach begins with a thorough understanding of how these businesses operate, allowing us to craft high-value AI workflows that address their most significant operational challenges.With backing from prominent venture capitalists, we recently secured a $25 million Series A funding round and are rapidly expanding. We collaborate with several of the nation’s largest private equity-backed home services platforms, anticipating a fivefold increase in our workforce by 2026. This presents a unique opportunity to join us early and play a pivotal role in transforming an entire industry through AI.The RoleWe are on the lookout for our inaugural AI Deployment Strategist to spearhead the implementation and scaling of Broccoli’s solutions with our most critical customers, establishing this function from the ground up.This role is crucial, sitting at the nexus of customer partnerships, operations, analytics, and product strategy. You will engage directly with executive teams from major home services platforms to deploy Broccoli, assess business impact, and pinpoint opportunities for broader AI integration within their operations.As the first person in this role, you will also be instrumental in defining our AI deployment strategy for enterprise clients. You will create frameworks, reporting systems, and playbooks that will serve as the backbone of a scaled deployment organization.The insights garnered from your close customer interactions will not only influence the future direction of the Broccoli platform but also foster long-term customer growth and expansion. Occasional travel to customer locations will be required to support deployments and strengthen executive relationships.This position is particularly appealing to candidates from top consulting firms, offering a chance to leverage your strategic and transformation skills in a dynamic AI environment where you will take full ownership of outcomes.

Join a pioneering team of former Google engineers who have developed ground-breaking defensive technologies, such as Safe Browsing and reCAPTCHA. We are on a mission to confront an urgent challenge: combating the rising tide of adversarial AI attacks that threaten organizations globally.Operating in stealth mode, we are targeting a lucrative $5B+ market that is primed for innovation. Conventional detection methodologies are proving inadequate against the speed and sophistication of AI-driven assaults. Current adversaries are leveraging AI to engineer tailored, high-evasion attacks, leaving traditional systems vulnerable.Your Role:You will design a network of AI agents that are rapid, cost-effective, and precise, collaborating to identify and neutralize emerging threats. Your work will dive deep into real-time threat data, continuously evolving your agents in a fast-paced environment. These agents will function under an orchestration layer that fosters quick adaptation and learning.The Excitement of the ChallengeRapidly Evolving Models: The landscape changes daily; solutions that worked yesterday may be outdated today.Intelligent Adversaries: We are engaged in a real-time arms race against cunning, AI-enhanced attackers crafting sophisticated payloads.No Existing Playbook: We are forging new detection paradigms as swiftly as threats evolve. This high-stakes work places you in the heart of the action from day one.If you thrive on solving challenging problems with rapid feedback, this is your opportunity.Why We Are Positioned to SucceedExpansive Market: The market is vast at $5B and expanding quickly, while established players struggle to adapt.Proven Track Record: Our team has previously developed the foundational technology for Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our time at Google.Experienced Team: This is our third endeavor in creating a category-defining security enterprise, and we know how to scale our technology and our organization effectively.Deeply Integrated AI and Security: We embed AI from the outset rather than layering it on top.Top Talent: We hire only the highest achievers; many on our team were in the top 1% of engineers at Google. If you excelled in your previous role, you will fit right in.Agility: We prioritize speed and efficiency in everything we do.

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.

Role OverviewAs the AI Deployment Manager (ADM) - Pilots, you will play a pivotal role in facilitating enterprise AI pilots that are structured and time-sensitive. This customer-facing position is dedicated to guiding our clients through the evaluation of OpenAI’s innovative products in real-world settings. Your mission is to identify impactful use cases that yield actionable insights directly linked to business value.In this role, you will spearhead pilot engagements aimed at enhancing activation, encouraging sustained usage, and measuring the overall impact across platforms such as ChatGPT Enterprise and Codex. You will collaborate closely with customer stakeholders to establish success metrics, mentor users from initial testing to full implementation, and convert pilot results into strategic recommendations for potential expansion or purchase.Success in this role requires sound judgment, the capability to navigate ambiguity, and a steadfast focus on aligning technical functionalities with business objectives. You will engage regularly with both executive stakeholders and operational teams, customizing your strategies to meet customers' unique needs and drive progress.Key Responsibilities:Lead the conceptualization and implementation of enterprise AI pilots, encompassing scoping, cohort identification, and success metrics that inform commercial decisions.Identify and focus on a targeted selection of high-impact use cases that can provide significant insights within a 30–45 day pilot timeframe.Enhance activation and ongoing engagement among pilot cohorts through tailored support, Q&A sessions, and hands-on coaching.Continuously assess pilot performance and make real-time adjustments to address engagement challenges, use case effectiveness, or stakeholder alignment.Convert pilot findings into clear, executive-level recommendations regarding the potential for customer expansion.Navigate through customer limitations, including security protocols and data accessibility, while maintaining pilot progress.Work closely with Account Directors, Solutions Engineers, and customer stakeholders to align on project scope, risks, and future actions.Document insights from pilots and create repeatable playbooks that enhance qualification, execution, and successful outcomes.Ideal Candidate Profile:Possess 8+ years of experience in enterprise consulting, customer success, program management, solutions engineering, or a related customer-focused role, interfacing with executive and senior-level clients.

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.

About HappyRobotHappyRobot is pioneering the AI-native operating system for the real economy, seamlessly integrating intelligence with action. Our innovative platform combines real-time insights, specialized AI agents, and orchestrating intelligence to empower enterprises in managing complex, mission-critical operations autonomously.Our AI OS continually builds on knowledge, optimizes processes, and evolves with time. We are initially focusing on supply chain and industrial-scale operations, where resilience, speed, and ongoing improvement are paramount. This allows human teams to concentrate on strategy, creativity, and high-value tasks.Discover more about our vision in our Manifesto. HappyRobot has successfully raised $62M to date, including a $44M Series B round in September 2025. Our esteemed investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10, who share our commitment to transforming enterprise operations. We are channeling this investment into building a top-tier team of driven individuals with exceptional problem-solving capabilities, ready to excel in a dynamic, fast-paced environment. If this resonates with you, we invite you to join HappyRobot.Role OverviewAs a Deployment Strategist, your primary objective will be to bridge the gap between user needs, data insights, and product functionalities to enable our customers to realize their potential. You will engage deeply with customer operations, collaborate directly with end users and decision-makers, and influence how HappyRobot’s technology addresses their most pressing challenges.At HappyRobot, we foster a culture devoid of rigid hierarchies, operating instead as a cohesive team of builders dedicated to execution, innovation, ownership, and a sincere commitment to our customers’ successes.What You Will DoPartner with customers to gain insights into their workflows, objectives, and challenges—often working side by side with their teams.Collaborate with Forward Deployment Engineers to define, prototype, and implement solutions utilizing HappyRobot’s platform.Identify and analyze key datasets that influence customer decision-making, integrating them into robust, scalable data pipelines.Design and enhance user workflows that effectively address significant challenges and scale across teams and functions.Lead transformational projects by setting clear objectives and driving initiatives that foster operational efficiency.

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

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.

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 Fathom:At Fathom, we believe that relying on notes to capture insights from meetings is outdated and inefficient. Notes can be a burdensome task amidst a conversation, and even the best notes fail to convey the full experience of a discussion.Our mission is to eliminate the challenges of note-taking, and our users are thrilled with the solution we've developed: #1 Highest Satisfaction Product of 2024 on G2 #1 Rated on G2 with over 4,500 reviews and a perfect 5/5 rating #1 Product of the Day and #2 AI Product of the Year Most installed AI meeting assistant on both the Zoom and HubSpot marketplaces We are consistently achieving new usage and revenue records weeklyOur rapid growth means we are looking to expand our small but dedicated team.Role Overview:As an AI Engineer at Fathom, you will engage directly with Large Language Models (LLMs), developing and refining our innovative features. Your contributions will be crucial in providing actionable specifications that guide our engineering team toward impactful enhancements and pioneering functionalities.This position blends aspects of engineering, analytics, product management, and research. It is ideal for those already in an AI Engineering capacity or for software engineers or data scientists who have substantial experience in creating AI features.Please note, this position is available for candidates residing in the U.S. and requires being in-office in San Francisco three days a week.What You’ll Do:Collaborate with cross-functional teams to define and implement AI solutions.Prototype and iterate on features that enhance our product offerings.Analyze data and performance metrics to inform product decisions.

About the RoleJoin the Engineering Acceleration Delivery / Continuous Deployment team at OpenAI, where we develop and maintain systems designed to securely deploy OpenAI’s infrastructure and product code into production.Our team is responsible for the deployment platform, release pipelines, and safety mechanisms that empower engineers across OpenAI to make rapid changes while minimizing operational risks. Our goal is to streamline production deployments, enhancing speed, safety, and autonomy.This position is a unique opportunity to work at the convergence of developer productivity, distributed systems reliability, and large-scale infrastructure orchestration.In This Role, You WillArchitect and implement continuous deployment infrastructure that efficiently manages changes across multiple Kubernetes clusters and global regions.Create systems for progressive delivery, incorporating techniques like canary releases, staged rollouts, and automated rollback processes.Enhance engineering velocity by reducing friction within the release pipeline and automating operational workflows.Collaborate with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale.Refine and adopt deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns.Develop systems that automatically assess deployment health through metrics, logs, traces, and alerts to identify regressions and initiate safe rollbacks.Create systems that facilitate agent-assisted or fully autonomous deployment workflows using cutting-edge AI tools.Technologies you will work with include:Kubernetes for large-scale container orchestration and runtime infrastructurePython and FastAPI for internal servicesTerraform for infrastructure as codeGitOps-based deployment workflows (e.g., ArgoCD, Flux, or similar systems)Buildkite for CI orchestration

About the TeamJoin the AI Deployment Engineering team at OpenAI, dedicated to the secure and efficient implementation of Generative AI applications for developers and enterprises. We serve as trusted advisors and innovative partners, crafting a comprehensive backlog of GenAI use cases tailored to industry needs, and guiding them to production with robust technical support. As the head of our AI Deployment Engineers in the Digital Native segment, you will empower technology and software companies to revolutionize their operations via solutions like customer service automation, content generation, and cutting-edge applications utilizing our most advanced models.About the RoleWe are in search of an accomplished leader to drive the technical success of our key technology and software clients across the Americas. In this strategic position, you will oversee the complete implementation process, guaranteeing smooth platform integration. Acting as the voice of our customers, you will coordinate technical teams to provide a unified, exceptional experience throughout the customer journey. Your performance will be evaluated based on the launch of live applications, increased API usage, and compelling customer success stories that highlight our technology's value.This position is based in our San Francisco office, operating on a hybrid work model of three days in-office per week, with relocation assistance available for new hires.Your Responsibilities Include:Develop and implement the strategy and operational framework for the AI Deployment Engineering team, ensuring alignment with corporate goals and customer needs.Lead, build, and mentor a team of high-achieving AI Deployment Engineers to achieve outstanding customer results, evidenced by production customer applications and enhanced API engagement.Act as the technical advocate for our clients, distilling their requirements to shape the Research and Applied Product/Engineering roadmaps.Serve as the primary technical escalation point during project development, fostering trust and ensuring direct communication with executive stakeholders.Establish yourself as an industry thought leader, promoting the safe and innovative utilization of our technology across diverse sectors.You Will Excel in This Role If You:Possess over 8 years of experience in a technical, customer-facing role, managing C-level technical and business relationships with complex global organizations.Demonstrate a strong foundation in AI technologies and their deployment in business contexts.Exhibit exceptional communication and leadership skills, with a proven ability to drive teams toward success.

Join Our Innovative Team at Simple AIAt Simple AI, we are transforming enterprise communications through cutting-edge voice AI agents. Our highly realistic agents empower leading companies such as DoorDash, xAI, and Omaha Steaks to efficiently manage a variety of phone operations, including customer support, order processing, and lead qualification.As we experience exponential growth and a surge in customer demand, we are seeking a few founding software engineers to help us navigate this exciting journey and develop systems for the future. Our passionate team operates from our vibrant San Francisco office five days a week, driven by a shared vision of leveraging AI to make a significant impact in the world.We are proud to be backed by esteemed investors and operators, including Y Combinator, Massive Tech Ventures, and industry leaders such as Michael Seibel (Twitch), Jared Friedman (Scribd), and more.

About the Role: Strala is on the lookout for exceptional operators to tackle one of the most challenging roles in AI-native services: enabling critical AI solutions for some of the world’s largest insurance companies. This role is pivotal, involving direct engagement with clients to ensure successful deployments of our technology. You will navigate complex environments, connecting our engineering efforts with the intricate realities faced by large insurers, ultimately delivering substantial ROI. If you possess a unique blend of technical expertise and leadership skills, capable of guiding high-stakes discussions with executives while also diving deep into data models to resolve issues, we want to hear from you.About Strala: At Strala, we are revolutionizing the claims process and enhancing loss ratios for the largest insurers globally. Our mission is to reshape the $280 billion foundation of the insurance industry using applied AI.In under a year, we’ve achieved multi-seven-figure ARR with approximately 50% month-over-month growth, all without dedicated growth personnel. We’ve successfully secured funding from top-tier investors, including early partners of OpenAI, Cognition, and Ramp. Our lean and powerful team comprises elite professionals, including top sales leaders, engineers from renowned companies like DRW, Optiver, AWS, and Palantir, AI researchers from prestigious institutions such as Oxford and Cambridge, and multiple ICPC and Olympiad winners.Key Responsibilities: Oversee multiple client deployments from post-sale design through to go-live and stabilization, serving as the primary contact for VP-level stakeholders.Collaborate with client teams on architecture, data models, workflow design, and source-of-record decisions.Transform complex client realities into structured plans, including milestones, ownership, risks, dependencies, and progress tracking. Communicate effectively with both client executives and internal engineering teams.Establish trust with senior stakeholders while engaging deeply with technical teams, earning credibility in both arenas.Coordinate daily with Strala's engineering and sales teams, translating client requirements into engineering priorities and incorporating deployment context into deal strategies.Partner with Sales on late-stage deals to refine project scope and identify opportunities for expansion.This position is based in San Francisco. We believe that in-person collaboration leads to better results.

About UsServal is an innovative AI-based automation platform revolutionizing enterprise operations. Our intelligent agents seamlessly interpret real-world workflows and execute them comprehensively, eliminating manual tasks and outdated systems with adaptable, learning software. Launched in early 2024, Serval has gained the trust of industry leaders such as General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada to optimize high-volume operational tasks.At the heart of Serval lies an agentic AI platform that transforms natural language into efficient, production-ready workflows. Our agents not only respond to inquiries but also reason, take decisive actions across various systems, and continuously enhance their functionality with ongoing use. What started with operational tasks has quickly evolved into a universal AI automation layer utilized across IT, HR, Finance, Security, Legal, and Engineering sectors.Our mission is to eradicate monotonous manual work within enterprises and empower teams through intelligent automation. In the long run, we aim to establish a universal AI operations framework— a system of agents that integrates seamlessly across business functions to drive organizational efficiency.Supported by prominent investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, among others, our founding team comprises seasoned product and engineering professionals from Verkada.The TeamThe Agent Deployment team is a dedicated technical unit responsible for the comprehensive execution of Serval's AI agent deployments. This organization features two tracks: Deployed Engineers, who serve as technical leads on strategic initiatives, overseeing the complete process from architecture to production; and Deployment Strategists, who manage the customer journey from implementation to adoption and growth. Both roles are technical, customer-centric, and fundamental in translating Serval's product capabilities into tangible business results.Role OverviewAs a Senior Deployment Strategist within Serval's Agent Deployment team, you will oversee the entire customer experience, from initial implementation through to ongoing adoption and expansion. You will be the primary point of contact for your clients, ensuring their success and coordinating with engineering and leadership for any escalations that arise. Deployment Strategists engage deeply with Serval's product ecosystem, crafting innovative workflows, configuring integrations, and independently resolving bugs and implementing product changes.This is a pioneering role within a team that is being established from the ground up. You should be someone who excels in a fast-paced environment, adept at swift execution across multiple projects and challenges.

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.

fractional-ai is hiring a Software Engineer to join the team onsite in San Francisco. This role centers on building and improving technology that advances artificial intelligence. Role overview As a Software Engineer, you will work closely with others to develop and support projects that drive the company’s AI initiatives forward. The work involves collaborating with colleagues and contributing technical solutions in a team setting. What you will do Develop software for AI-driven projects Collaborate with team members in the San Francisco office Contribute ideas and technical expertise to ongoing initiatives Requirements Interest in technology and artificial intelligence Ability to work onsite in San Francisco Strong motivation to learn and contribute to team projects

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 entirely AI-first thanks to Netic.Become a part of our dynamic team composed of relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard, as we integrate frontier AI into the physical economy, tackling complex challenges with immediate and significant impact.As a Deployment Engineer, you will bring Netic’s AI agents to life for clients in essential service industries. You will operate at the crossroads of software, AI, and operations, managing customer deployments and resolving intricate technical and business challenges to drive measurable business results.