JavaScript Jobs
223 open roles mentioning JavaScript
Senior Customer Engineer - San Francisco
Cloudflare
Cloudflare is seeking a Senior Customer Engineer to act as a trusted advisor and drive technical go-to-market strategy. In this role, you will own the technical relationship with enterprise clients from discovery through adoption and expansion. You will operate as a quota-carrying technologist, leveraging AI-augmented workflows to focus on high-value architectural design and delivering measurable business outcomes. This position is ideal for builders who are curious, proactive, and eager to use AI as a partner in solving complex problems to advance the Internet.
Senior Customer Engineer, Shenzhen
Cloudflare
As a Customer Engineer at Cloudflare, you will be a trusted advisor driving our technical go-to-market strategy. You will own the technical relationship with customers from initial discovery through long-term adoption and expansion. Operating as a quota-carrying technologist within the GTM organization, you will leverage AI-augmented workflows to automate administrative tasks, allowing you to focus on high-value architectural design and delivering measurable business outcomes across the entire customer journey. This role is crucial in evolving how we partner with customers as their architectural complexity scales.
Senior Customer Engineer, Singapore
Cloudflare
Cloudflare is seeking a Senior Customer Engineer to act as a trusted technical advisor and architect for enterprise clients. This role drives the technical go-to-market strategy, guiding customers from pre-sales validation through onboarding, deployment, and lifecycle expansion. You will be a quota-carrying technologist, leveraging AI-augmented workflows to focus on high-value architectural design and measurable business outcomes across the entire customer journey. The ideal candidate is a builder who uses AI-native curiosity to solve problems and improve the Internet.
$20k - $50k
Senior/Staff Product Engineer
runway
We are seeking a curious and thoughtful Product Engineer to join our team and help build cutting-edge AI-powered video creation and collaboration tools. This role involves working in a fast-paced, high-ownership environment within a highly collaborative engineering team. You will tackle a wide variety of exciting challenges, including developing new interfaces for AI content creation, building LLM-powered features and conversational experiences, and deploying cutting-edge computer vision and generative models to production. Our mission is to build AI that simulates the world by merging art and science, believing that world models are the frontier of progress in artificial intelligence.
Applied AI Architect, Education
OpenAI
As an Applied AI Architect for Education, you will be the senior technical owner for a named portfolio of education customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business,” shaping each institution’s AI strategy and guiding its journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable institutional impact. You will own the technical account plan across ChatGPT Edu, the OpenAI API, Codex, and other agentic AI solutions, translating institutional priorities into a focused portfolio of use cases, an actionable adoption roadmap, and a clear path to durable value and growth. You will work across academic, research, administrative, and operational contexts, helping customers determine where AI can responsibly improve teaching and learning, accelerate research, strengthen student and faculty services, and make institutional operations more effective. You will account for the realities of education environments, including shared governance, complex stakeholder networks, academic calendars, accessibility, data privacy, responsible-AI expectations, and the need to build confidence among communities with differing levels of AI readiness.
Applied AI Engineer, Cyber, Government
OpenAI
We are seeking a hands-on Applied AI Engineer with deep cybersecurity experience and a product mindset to help government and national security customers apply frontier AI to critical cyber missions. You will bring practical expertise in areas such as red teaming, vulnerability research, reverse engineering, threat hunting, and similar fields, ideally developed through work with the defense and intelligence sector. Working directly with cyber operators, security researchers, and engineering teams, you’ll identify high-value applications, write code, build and evaluate AI-powered tools and agentic workflows, and move solutions from prototype into secure operational use. You’ll design architectures using OpenAI models, APIs, and existing security tooling, grounded in customers’ mission requirements and operational constraints. You will collaborate closely with Sales, Solutions Engineering, Applied Research, Product, and Security teams to deliver measurable improvements in cyber capabilities and translate customer experience into better models and products.
AI Acceleration Engineer
decagon
Decagon is seeking an AI Acceleration Engineer to build and enhance the systems that power the company's operations. This is a hands-on technical role focused on making AI a practical tool for every team. You will extend existing platforms, automate manual processes in areas like billing and collections, and replace spreadsheet-based workflows with robust systems. A key part of this role involves "AI-pillaring" the company by providing teams with the necessary AI infrastructure, skills, and agents to automate their own work. You will own your projects end-to-end, from initial requirements to ongoing maintenance, working directly with the stakeholders whose processes you are improving. The ideal candidate is a strong generalist with a knack for engineering away manual processes and a deep understanding of system design.
$180k - $220k
AI Agent Security Architect
Replit
Replit is seeking an AI Agent Security Architect to serve as the primary technical authority for the security blueprint of Replit's autonomous and AI agents. This role involves designing, implementing, and maintaining runtime defense systems, guardrail frameworks, and sandboxing architectures for AI agents that execute code and interact with tools on the platform. The ideal candidate will lead high-impact AI security initiatives, bridging the gap between unpredictable AI behavior and robust cybersecurity controls for both technical and executive audiences.
Applied AI Architect, Government
OpenAI
As an AI Architect, you will be the senior technical owner for a named portfolio of customers within the public sector, serving as the primary technical counterpart to their leadership teams. Your role involves shaping each customer's AI strategy and guiding their journey from initial discovery and solution evaluation through deployment, adoption, and ultimately, measurable mission impact. You will own the technical account plan across various OpenAI offerings, translating mission priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value. While the Account Director leads the overall account strategy and relationship, you will spearhead the technical strategy, customer journey, and path to production impact, remaining accountable for technical outcomes and coordinating specialists as needed.
GTM Engineer Manager - Seller Efficiency
Clay
Clay is seeking a Manager, GTM Engineering - Seller Efficiency to build and lead a team dedicated to making our sales operations faster, smarter, and more effective. This role involves managing a team of GTM Engineers while remaining hands-on with complex technical challenges, setting strategic direction, and ensuring all automations measurably enhance sales processes. You will collaborate closely with the Head of Sales to transform intricate business problems into sophisticated technical solutions and foster the development of engineers who approach challenges as builders rather than order-takers.
Software Engineer, Safety Engineering
OpenAI
About the Team The Safety Systems org is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Safety Engineering team builds the platforms and tools that make OpenAI’s models safe to use in the real world. We partner closely with researchers, product teams, and policy to turn safety ideas into reliable, scalable systems: measuring risk, enforcing safeguards, and continuously improving how models behave in production. Our work sits at the intersection of product engineering, data, and AI, and directly shapes how millions of people experience OpenAI’s technology. About the Role We’re looking for a self-starter engineer who loves building products in an iterative, fast-moving environment—especially internal tools that unlock real-world impact. In this role, you’ll build full-stack tooling for our Safety Systems teams that directly improves the safety and reliability of OpenAI’s models, including in sensitive areas like mental health and other vulnerable-user protections. Your work will increase the team’s velocity in identifying and fixing safety issues and help tighten the feedback loop between policy, data, and the model training cycle. In this role, you will: - Own the end-to-end development of internal tools that help improve the safety of OpenAI’s models (with a focus on areas like mental health and other vulnerable-user protections) - Partner closely with Safety Systems researchers, engineers, and model policy creators to understand workflows, pain points, and requirements—and translate them into durable product solutions - Build full-stack experiences to support core model policy workflows, such as labeling and inspecting data, analyzing and reviewing failure cases, and surfacing insights for iteration - Optimize internal applications for usability, speed, and scale to increase team velocity and reduce time-to-fix for safety issues - Transform successful AI assisted safety workflows into external facing safety products, that empowers developers to build safer AI, uplift the industry standard for AI safety, and prepare the world for more capable AGI. You might thrive in this role if you: - Have 5+ years of relevant engineering experience at tech and product-driven companies - Are proficient with JavaScript, React, and other web technologies - Are proficient with at least one backend language (we use Python) - Have experience with relational databases like Postgres/MySQL - Have an interest in AI/ML (direct experience not required) - Are excited to partner closely with researchers and policy writers to ship tools that directly improve the safety of OpenAI’s models About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Applied AI Architect
OpenAI
As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed.
Director, Finance Systems - Revenue Systems Engineering
Anthropic
Anthropic is seeking an experienced Revenue Systems Engineering Director to lead the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as the company scales globally. This role will serve as the technical lead for revenue systems within the ERP ecosystem, focusing on automating revenue recognition processes and integrating billing, sales, and financial systems. The ideal candidate will drive innovation, including the integration of AI for revenue operations, while ensuring system reliability and adherence to best practices.
Developer Advocate
fireworks ai
Fireworks is seeking a Developer Advocate to be the voice of their specialized intelligence platform for developers. In this role, you will be responsible for making Fireworks the go-to platform for building, fine-tuning, and serving frontier open models in production. This position requires a dual focus: you must be a hands-on engineer who ships code and understands technical nuances, and a public technical communicator who can clearly articulate complex topics through writing, speaking, and community engagement. You will be at the forefront of a rapidly evolving field, consistently staying ahead of new model releases and making it look repeatable rather than heroic. As one of the first advocates on the team, you will help set the standards for content, launch responses, and team presence.
Forward Deployed Engineer (FDE), Legal-SF
OpenAI
OpenAI is seeking a Forward Deployed Engineer (FDE) to build and deploy AI systems specifically for legal work. In this role, you will embed deeply with customers, often senior legal practitioners, to identify key use cases, rapidly prototype solutions, and demonstrate measurable value. Your work will span from initial discovery and proof of concept to production adoption, translating customer needs and constraints into actionable product feedback. As successful deployments mature, you will codify these into repeatable patterns to scale across larger accounts and the broader legal market.
Manager, Applied AI Engineering (Codex)
OpenAI
We are seeking an experienced technical leader to join as Manager, Applied AI Engineering (Codex), leading a team of Applied AI Engineers responsible for driving successful Codex adoption across strategic customers. Your team will work hands-on with customer engineering organizations to design and build AI-enabled development workflows, solve complex implementation challenges, and establish scalable patterns for AI-powered software development. As a manager, you will shape how these technical engagements operate at scale — setting strategy, coaching engineers, determining where the team can have the greatest impact, and ensuring consistently strong execution across customers. You will serve as both a people leader and senior technical advisor, partnering closely with Sales, Product, Research, and Engineering to translate customer needs and real-world usage into better technical approaches, reusable patterns, and product insights.
AI Engineer, Enablement
Langchain
LangChain is seeking an AI Engineer, Enablement to set the technical foundation for how customers learn to build reliable agents with the LangChain ecosystem. This role involves teaching teams to work effectively with LangChain, LangGraph, Deep Agents, and LangSmith through instructor-led workshops, written content, and reference implementations. You will collaborate closely with the broader Go-To-Market organization to ensure customers have the skills and confidence to build independently. The ideal candidate has experience building real agent systems, understands their tradeoffs, and possesses a passion for teaching, whether through large workshops or one-on-one debugging sessions. You will also contribute to building internal agents and tools to enhance the Enablement team's efficiency.
$150k - $195k
Manager, Applied AI Engineering (Digital Natives)
OpenAI
OpenAI is seeking a Manager, Applied AI Engineering to lead the team responsible for the technical success of strategic technology and software customers in the Americas. This role involves leading a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. The manager will set the team's strategy and operating model, coach engineers, and act as a senior technical partner to customers and internal stakeholders. Success will be measured by meaningful production applications, sustained adoption, strong customer outcomes, and technical insights that can be applied broadly.
Cyber Operations Strategist, Critical Harm Operations
OpenAI
We are seeking a senior cybersecurity practitioner and operations strategist to enhance the quality, scalability, and technical rigor of our Cyber Operations. This role involves a blend of hands-on cyber judgment and systems-level operating design. You will tackle complex dual-use questions, refine standard operating procedures (SOPs), improve reviewer and vendor performance, and develop practical tools and automations. Success in this senior individual contributor role is measured by durable improvements in the operating model and the effectiveness of the reviewers who execute it. This position, based in Toronto, is currently remote and is expected to transition to an in-office arrangement.
Forward Deployed Engineer (FDE), Legal-NYC
OpenAI
OpenAI is seeking a Forward Deployed Engineer (FDE) to build and deploy AI systems specifically for the legal industry. In this role, you will work closely with customers, often senior legal practitioners, to identify key use cases, rapidly prototype solutions, and demonstrate measurable value. Your work will span from initial discovery and proof of concept to production adoption, and you will be responsible for translating customer needs and constraints into actionable product feedback. As successful deployments mature, you will develop repeatable patterns and tools that can be scaled across the legal market.