Job Opportunities API

About Manifold Manifold is the AI platform for life sciences, accelerating life-changing medicines to patients. Our products speed up workflows in areas from target identification and clinical development to market access and precision medicine in the clinic, while maintaining the governance life sciences requires. Global companies and premier research institutions use Manifold to operate faster and more effectively. Backed by leading investors including Reach Capital, TQ Ventures, Calibrate Ventures, SilverArc Capital, and Industry Ventures, Manifold serves tens of thousands of users across hundreds of organizations globally. About the role Manifold is hiring a Forward Deployed Engineer (FDEs) to work at the intersection of AI, data infrastructure, and life sciences. In this high-impact role, you will embed directly with leading research institutions, biopharma companies, and life sciences organizations to drive adoption, implementation, and expansion of Manifold's AI platform. As an FDE, you’ll work closely with both Product and GTM teams, combining technical expertise with customer-facing skills to build innovative solutions that accelerate complex scientific workflows. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Manifold at the highest level in customer environments. Working at the intersection of AI and life sciences, you'll not only play a key role in Manifold's success but also help our customers bring life-changing medicines to patients faster. What You’ll Do Embed directly with Manifold customers to understand their research environments and workflows Support Terra.bio and its user migration to the Manifold platform, serving as a technical bridge between existing Terra workflows and Manifold's new infrastructure Scope and architect end-to-end solutions leveraging Manifold's AI platform to solve customers’ most pressing problems Drive rapid time-to-value by ensuring fast onboarding, successful pilots, and clear paths to platform adoption Develop and deliver technical artifacts purpose-built for customers: Data pipelines, agent configuration, process automation, and domain-specific tooling Troubleshoot complex issues across infrastructure, data, and application layers Identify repeatable patterns, playbooks, and tooling that accelerate future deployments Collaborate with the core platform team to inform product roadmaps Stay current regarding AI industry advancements and life sciences infrastructure What You’ll Bring A full-stack generalist with 5+ years of experience in a technical customer-facing role who thrives in ambiguity and is energized by working directly with life science researchers Comfort navigating complex technical environments, including cloud infrastructure, data warehouses, APIs, and diverse data formats common in life sciences and healthcare Hands-on experience building and deploying data pipelines, custom integrations, and AI-powered applications, ideally in complex enterprise or research environments Able to collaborate with diverse stakeholders, from bench scientists to C-suite executives High agency with a bias towards speed, pragmatism, and ownership; You've built AI into how you work. You're curious about new tools, resourceful in applying them, and have concrete examples of how AI changed your output. A genuine interest in life sciences, oncology, and healthcare; You've done your homework on what it means to accelerate life sciences research and you can articulate why that mission matters to you. Hands-on Java, JavaScript, Scala, Python, SQL, Snowflake, dbt, and Airflow experience Experience with cloud environments (AWS, GCP) and infrastructure-as-code patterns; Experience working in regulated data environments Bachelor's or Master's degree in Computer Science, Engineering, or related technical field Willing to travel to customer sites as needed (estimated 20%) What Sets You Apart