Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Experience Level
Senior
Qualifications
Proven experience in AI/ML deployment and architecture. Strong understanding of cloud technologies and infrastructure. Ability to collaborate with cross-functional teams and communicate complex technical concepts clearly. Experience with programming languages such as Python, Java, or similar. Knowledge of data engineering and data pipeline design. Excellent problem-solving skills and a proactive approach to challenges.
About the job
Join Intercom as a Senior AI Deployment Architect, where you will play a pivotal role in designing and implementing AI solutions that revolutionize customer communication. You will work alongside a talented team of engineers and data scientists to build state-of-the-art AI models and systems. Your expertise will be essential in deploying scalable AI applications that enhance user experiences across various platforms.
About Intercom
Intercom is a leading customer messaging platform that helps businesses connect with their customers more effectively. We are at the forefront of innovation, leveraging advanced technologies to deliver exceptional user experiences. Our diverse and inclusive culture fosters creativity and collaboration, making Intercom a great place to work.
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 struct…
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-to-end platform, renowned companies such as Mars, Marriott, Uber, and Vanguard are successfully building and deploying AI agents utilizing their proprietary data, powered by our state-of-the-art enterprise-grade LLMs. As a company valued at $1.9 billion and supported by top-tier investors like Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is swiftly establishing itself as the frontrunner in enterprise generative AI.Founded in 2020 and with additional offices in New York City, Austin, Chicago, and London, our team is ambitious and agile. We are on the lookout for innovative, dedicated individuals to join us in shaping the future of work through AI. About the RoleAs an AI Deployment Engineer at WRITER, you will play a pivotal role in our mission to enhance human capacity through superintelligence. This position is not just technical; it's influential, as you will collaborate closely with our enterprise clients. Your insights will be vital in identifying their unique challenges and designing AI-driven solutions that leverage our robust platform and enterprise-grade LLMs. You will convert complex requirements into impactful applications, championing user adoption and driving substantial business outcomes. Your innovative mindset and enthusiasm for deploying cutting-edge AI technologies will directly influence the evolution of work for some of the largest corporations globally.This role is crucial for our clients' success and the ongoing development of our products. Join our dynamic team to explore the frontiers of generative AI and contribute significantly to WRITER's objectives.This is a hybrid position based out of our San Francisco, Chicago, Austin, and New York City offices.
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.
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.
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.
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 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 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.
Saris AI develops advanced AI automation for the banking sector, with teams in San Francisco, Montreal, and Toronto. The company addresses large-scale automation challenges, focusing on long-context reasoning, integrating with legacy systems, and meeting strict compliance needs. Saris AI’s AI agents are already active in production, supporting real customer workflows as the business expands. Role overview The San Francisco engineering team is seeking an Engineering Manager. This leader will guide engineers through shifting priorities and frequent ambiguity. The position involves building and leading teams, managing projects from concept to launch, and ensuring the delivery of reliable software that powers AI-driven products. What you will do Build and lead engineering teams focused on automation and AI Oversee software projects from initial idea through production launch Adapt to changing requirements and priorities as the company grows Address the technical challenges unique to deploying software in AI systems Requirements Proven experience building and leading engineering teams History of delivering software projects from start to finish Comfort working in environments where priorities and requirements shift quickly Understanding of the complexities involved in AI-driven software deployment Location This role is based in San Francisco.
At OpenAI, we are committed to ensuring that the advancements in artificial general intelligence (AGI) benefit humanity as a whole. To achieve this goal, we are laying the technical groundwork that enables enterprises to transition from initial experiments to real-world, production-level applications of our platform and coding solutions.The Lead Technical AI Deployment Manager plays a pivotal role in this mission. You will be responsible for shaping how OpenAI’s extensive technical knowledge is shared with developers and engineering groups — transforming our approach from high-touch, limited delivery to a scalable and consistent technical training model that drives significant customer results.This role involves architecting and expanding OpenAI’s technical adoption strategies for developers. The Technical AI Deployment Manager will convert OpenAI's platform capabilities into actionable, high-quality technical training that empowers clients to design, build, and deploy effective systems. This position operates at the crossroads of technical expertise, education, and scalability.You will lead by example — initially providing impactful technical training yourself — and subsequently develop a team, set standards, and establish an operational framework that facilitates this work on a global scale.This is a foundational leadership position with substantial visibility and a well-defined path for growth as you demonstrate your impact.
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 Lambda, a pioneer in AI cloud infrastructure, where we empower countless customers ranging from AI researchers to large enterprises and hyperscalers. Our mission is to democratize access to superintelligence, making compute as essential as electricity. If you're passionate about revolutionizing the AI cloud landscape, we invite you to be part of our journey.*Note: This position mandates in-office presence at our San Jose or San Francisco locations for four days a week; our designated remote workday is Tuesday.Our Operations team is integral to delivering a seamless AI Infrastructure-as-a-Service (AI-IaaS) experience. This team is responsible for sourcing infrastructure and components, overseeing daily data center operations to ensure optimal performance, and facilitating cross-company coordination through product management to align operational capabilities with strategic objectives. By managing the entire lifecycle from procurement to deployment, our Operations team guarantees that our AI-driven infrastructure is robust, scalable, and aligned with our business priorities.Key ResponsibilitiesOversee large-scale GPU cluster deployments across data center colocation sites nationwide.Collaborate closely with Data Center engineering and operations to ensure the accurate deployment of infrastructure requirements.Advance multiple concurrent projects, evaluating risks and monitoring progress.Proactively manage dependencies and foresee/resolve execution challenges.Engage with a diverse range of cross-functional stakeholders, including Product, Engineering, and Operations, to ensure effective project execution and adherence to SLAs.Communicate progress and status updates with internal stakeholders and customer groups across various locations and time zones.Interact with stakeholders at all levels to resolve technical and scheduling issues.Cultivate strong partnerships across Lambda while leveraging your credibility and technical expertise to foster process improvements and efficiencies.Contribute to the development and expansion of new business opportunities.
About David AIDavid AI is a pioneering audio data research firm dedicated to transforming how artificial intelligence utilizes audio data. Our R&D-driven methodology allows us to create high-quality datasets that rival the best AI models in the industry. We aim to integrate AI into everyday life, leveraging audio as a vital component due to its versatility and accessibility. As we advance in audio AI, we recognize that the demand for superior training data is paramount, and this is where David AI excels.Founded in 2024 by a team of experienced professionals from Scale AI, we have quickly gained the trust of major clients, including leading FAANG companies and AI labs. Our recent funding round raised $50M from top-tier investors such as Meritech, NVIDIA, and Amplify Partners, underscoring our rapid growth and potential.Our team embodies sharp intellect, humility, and ambition. We invite talented individuals in research, engineering, product, and operations to join our journey in advancing audio AI.About Our Forward Deployed TeamOur Forward Deployed team collaborates closely with clients on their most essential projects, transforming complexity into clarity and strategy into actionable steps. By embedding ourselves within customer organizations and maintaining deep connections with our product, research, and engineering teams, we ensure that each interaction generates significant value and contributes to the ongoing evolution of David AI.Your RoleWe are seeking a Deployment Strategist to act as a trusted advisor for our clients on their key audio AI initiatives. In this role, you will shape strategic directions and provide guidance on audio training approaches. Collaborating closely with senior stakeholders, you will identify opportunities, set priorities, and design solutions that ensure David AI consistently delivers exceptional results.Key ResponsibilitiesLead the customer journey: Oversee the process from ideation to launch.Build strong relationships: Cultivate consultative partnerships across various business units and levels within client organizations.Translate objectives: Collaborate with research and engineering teams to develop actionable strategies that drive long-term success.Identify opportunities: Discover new avenues within accounts where David AI's insights can create added value.
Join Intercom as a Senior AI Deployment Architect, where you will play a pivotal role in designing and implementing AI solutions that revolutionize customer communication. You will work alongside a talented team of engineers and data scientists to build state-of-the-art AI models and systems. Your expertise will be essential in deploying scalable AI applications that enhance user experiences across various platforms.
Full-time|On-site|San Francisco, California, United States
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 Liquid AIBorn from the innovative environment of MIT CSAIL, Liquid AI develops cutting-edge general-purpose AI systems that operate seamlessly across various deployment environments—from data center accelerators to on-device hardware. Our solutions prioritize low latency, minimal memory consumption, privacy, and reliability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are eager to welcome exceptional talent to our dynamic team.The OpportunityJoin us in establishing the product function that will transform Liquid AI's technological advancements into scalable, repeatable solutions for enterprise clients. As a key member of our Product team, you will work closely with technical leaders to define, package, and launch AI solutions that meet market needs. This role requires daily collaboration with ML engineers, GTM leaders, and enterprise customers to understand the value of our technology and effectively deliver it. This position offers significant ownership, allowing you to treat your solution area like your own startup within our organization.What We're Looking ForWe are seeking an individual who embodies the following qualities:Customer Obsession: Prioritizes understanding customer needs through direct feedback rather than assumptions.Self-Direction: Takes initiative to dive deep into problems without prompting, and is comfortable navigating uncertainty to propose effective solutions.Technical Fluency: Engages confidently with ML engineers and researchers, understanding the complexities of deploying AI systems in real-world applications.Founder Mentality: Treats their solution area as a startup, owning outcomes across various functions, from technical architecture to go-to-market strategies.The WorkOversee one or more go-to-market ready solutions from inception to scalable customer deployment.Analyze customer interactions to extract insights and identify productization opportunities.Collaborate with ML and inference teams to develop tools that streamline implementation.Define Ideal Customer Profiles (ICPs), pricing strategies, and packaging for scalable solutions.Partner with GTM teams to enhance outbound sales efforts around productized offerings.
Join Fractional AI as a Forward Deployed Product ManagerAt Fractional AI, we specialize in developing personalized Generative AI software that revolutionizes business operations. Collaborating with notable clients like Zapier, Airbyte, and Change.org, we create impactful AI applications tailored to meet their unique needs.As organizations strive to bridge the divide between theoretical AI and its practical applications, we facilitate this transition with our exceptional engineering capabilities and comprehensive AI solutions. Explore our case studies to see how we make a difference.We are a profitable, rapidly growing company dedicated to tackling the most challenging problems in applied AI.About the RoleAs a Forward Deployed Product Manager, you will engage with clients who present ambitious goals—such as enhancing content moderation efficiency, improving customer service, unlocking new integrations, and automating complex workflows. Your mission will be to transform these objectives into tangible AI-driven solutions that deliver real-world results, guiding the process from initial discussions to deployment and measurable business impact.This role encompasses several key functions:Client Engagement: Acting as the primary liaison between Fractional AI and our clients.Product Strategy: Defining product development priorities and rationales.Project Management: Overseeing the execution of projects from start to finish.Operational Flexibility: Taking initiative to address any gaps that arise during the product lifecycle.Your Responsibilities:Manage Customer Relationships:Serve as the strategic partner for clients, maintaining regular communication.Participate in initial discussions, facilitate discovery sessions, gather feedback, and ensure alignment on project objectives.Establish trustworthy connections with stakeholders at all levels, setting realistic expectations and transparently discussing trade-offs.Define Product Vision:Determine product features, refine project scope, and prioritize the most impactful use cases.Translate complex business challenges into clear, actionable project plans.
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.
Sep 24, 2025
Sign in to browse more jobs
Create account — see all 12,060 results
Tailoring 0 resumes…
Tailoring 0 resumes…
We'll move completed jobs to Ready to Apply automatically.