Forward Deployed Engineer - Singapore

About the Role

Day-to-day, you will lead complex end-to-end deployments of frontier models in production alongside Openai's most strategic customers. Your primary focus will be on discovery, technical scoping, system design, build, and production rollout, working directly with customer engineering and domain teams. Success in this role is measured through production adoption, measurable workflow impact, and eval-driven feedback that informs product and model roadmaps.

You will work closely with various teams, including Product, Research, Partnerships, GRC, Security, and GTM, to ensure seamless collaboration and effective problem-solving. This role is based in Singapore, with a hybrid work model that includes 3 days in the office per week. Relocation assistance is available for new employees, and 50% travel is expected.

What You Will Do

• Own technical delivery across multiple deployments from the first prototype to stable production.
• Build full-stack systems that deliver customer value and sharpen how we learn from these deployments.
• Embed closely with customer teams to understand their needs and guide the adoption of what you build.
• Scope work, sequence delivery, and remove blockers early to ensure smooth project progression.
• Make trade-offs between scope, speed, and quality, adjusting plans as necessary to protect delivery timelines.
• Contribute directly to the code when progress or clarity depends on it, demonstrating a hands-on approach to problem-solving.
• Codify working patterns into tools, playbooks, or building blocks that others can use, promoting knowledge sharing and efficiency.
• Share field feedback that helps Research and Product understand where the models succeed and where they can improve, driving continuous improvement.
• Keep teams moving through clarity and follow-through, ensuring that all stakeholders are informed and aligned.

What We Are Looking For

• 5+ years of engineering or technical deployment experience that includes customer-facing work, demonstrating an ability to communicate complex technical concepts to non-technical stakeholders.
• Experience scoping and delivering complex systems in fast-moving or ambiguous environments, showing adaptability and problem-solving skills.
• Proficiency in writing and reviewing production-grade code across frontend and backend using Python, JavaScript, or comparable stacks, with a focus on quality and scalability.
• Experience building or deploying systems powered by LLMs or generative models, with an understanding of how model behavior affects product experience.
• Ability to simplify complexity and make fast, sound decisions under pressure, prioritizing delivery and customer satisfaction.
• Strong communication skills, with the ability to communicate clearly with engineers, product teams, and customer stakeholders, ensuring effective collaboration.
• Ability to spot risks early and adjust without slowing down, demonstrating a proactive approach to risk management.
• Calm and judgment under pressure, with the ability to model these behaviors for the team.

Nice to Have

• Experience with GTM and Adjust, or similar technologies, with a focus on leveraging these tools for efficient customer engagement and conversion.
• Knowledge of AI research and its applications, with an interest in contributing to the development of safe and beneficial AI systems.
• Familiarity with agile development methodologies, with experience working in iterative and adaptive environments.
• Certification in related technologies or methodologies, demonstrating a commitment to ongoing learning and professional development.

Benefits and Perks

• Competitive compensation package, with a focus on recognizing and rewarding individual and team performance.
• Opportunity to work with a leading AI research and deployment company, contributing to the development of cutting-edge technologies.
• Collaborative and dynamic work environment, with a focus on innovation and knowledge sharing.
• Flexible working hours and remote work options, with a hybrid model that includes 3 days in the office per week.
• Professional development opportunities, with access to training, mentorship, and career growth opportunities.

• Recognition and rewards for outstanding performance, with a focus on celebrating individual and team achievements.

• Develop a strong understanding of GTM and Adjust, as well as their applications in customer-facing deployments.
• Showcase your ability to communicate complex technical concepts to non-technical stakeholders, highlighting your experience in customer-facing roles.
• Prepare to discuss your experience with production-grade code and full-stack system development, emphasizing your hands-on approach to problem-solving.
• Be ready to provide examples of how you have simplified complexity and made sound decisions under pressure, demonstrating your ability to prioritize delivery and customer satisfaction.
• Research Openai's commitment to diversity and equal opportunity, and be prepared to discuss how you can contribute to this mission.
• Tailor your application materials to highlight your unique blend of technical expertise and customer-facing experience, showcasing your ability to drive complex deployments forward.