Job description

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 Forward Deployed Engineers (FDEs) to work at the intersection of AI, data infrastructure, and life sciences. Our customers are working on life changing medicines that affect real patients, and the faster their data becomes usable, the faster the science moves. In this high-impact role, you will work directly with scientists and clinicians across biopharma, academic research, and health systems to put Manifold's platform to work with their data, from scoping through to production. As an FDE, you'll be the primary technical and scientific contact for your accounts. An Implementation Manager owns the customer relationship, and you own the technical and scientific work inside it. You'll work as one team for our customers alongside Implementation, Product, and Account Management. You'll field questions about the whole platform, including parts you didn't build, and you'll often be the only Manifold person on the call. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Manifold at the highest level in customer environments, which means earning our customer’s trust in the first conversation and owning the path to a successful outcome. What You'll Do Scope and architect end-to-end solutions on Manifold's platform, and recommend whether a problem needs configuration, a custom build, or a self-service path Configure and implement the platform for each customer, and build what it needs alongside: data pipelines, agent configuration, process automation, and domain-specific tooling Own delivery from onboarding and pilot through to production, working in the customer's environment with their data, and quickly drive the engagement from ambiguous problem to working in production Run discovery sessions, demos, and end-user training, and support adoption after go-live Troubleshoot complex issues across infrastructure, data, and application layers Identify repeatable patterns, playbooks, and tooling that accelerate future deployments, and help set the standard for what a great deployment looks like Work closely with Product and GTM teams, and feed what you learn from customers back into the product roadmap Raise the bar for the team: share what works, document what you learn, and help the next FDE start further ahead than you did What You'll Bring 5+ years of experience in a technical customer-facing role, or equivalent demonstrated impact, with deep expertise in at least one of the areas listed below (by "deep," we mean you've owned it in production) and working knowledge of several others Scientific or clinical fluency; you can hold a peer-level conversation with a researcher about their work A genuine interest in the science and in what our customers are trying to cure or understand. You care about the outcome, not just the technology. You've shipped Python and SQL into production, and can point to systems you built that are still running You've built AI into how you work. You use Claude Code, Cursor, or similar agentic tools, and have concrete examples of work you now take on that you couldn't before or would have handed off You execute with velocity and have shipped working solutions into complex, real-world environments quickly, and you can explain your decision making along the way Able to lead customer conversations on your own, with stakeholders from bench scientists to C-suite executives High agency with a bias towards speed, pragmatism, and ownership, and good judgment about when to build and when not to You raise the bar, make the people and systems around you better, and you leave behind patterns others adopt You're hungry to grow and have an appetite to learn something new on every engagement, and this part of your work is energizing for you Bachelor's degree or higher in a computational, engineering, life science, or clinical field, or equivalent experience Willing to travel to customer sites as needed, which is currently ~10% travel What Helps You Stand Out The more of these areas you can show experience in, the stronger your fit for the role: Life science and clinical research, including clinical data (bench, translational, or clinical research; EHR structures, trial and registry data, OMOP, ICD, SNOMED) Bioinformatics and genomics, such as analysis pipelines, genomic file formats, reference data Data engineering and modeling, inclusive of ingestion and orchestration with Airflow, dbt, Snowflake, and production ELT; schema design, data quality, validation Cloud infrastructure and software development covering areas like AWS, infrastructure as code, deploying into customer-controlled accounts; backend APIs, third-party integrations, large shared codebases; frontend in React or equivalent AI agents and evaluation inclusive of agent configuration, prompting, checking whether outputs are correct Regulated data environments such as HIPAA, IRB constraints, clinical data governance Why Manifold We are liberating the world's biomedical data. Models are no longer the rate-limiter for scientific progress. Access to high-quality data is. We are freeing it, securely, with the data owners and data generators. This is already working. Leading brands in every healthcare segment work with us, and we are backed by Reach Capital, Goldman Sachs, TQ Ventures, Calibrate Ventures, and others. We are small enough that you will own something that matters and see it change what a customer can do. We don’t have the brand of a frontier lab or the structure of a large company. If you are an ambitious Forward Deployed Engineer and that trade sounds right to you, please reach out to us! Salary Range The base salary range for this position is $165,000–$190,000 annually. Please note: Final offer amounts are determined by multiple factors, including prior experience and expertise, and may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K match or medical, dental or vision insurance).

Requirements

Must-haves

Scope and architect end-to-end solutions on Manifold's platform, and recommend whether a problem needs configuration, a custom build, or a self-service path
Configure and implement the platform for each customer, and build what it needs alongside: data pipelines, agent configuration, process automation, and domain-specific tooling
Own delivery from onboarding and pilot through to production, working in the customer's environment with their data, and quickly drive the engagement from ambiguous problem to working in production
Run discovery sessions, demos, and end-user training, and support adoption after go-live
Troubleshoot complex issues across infrastructure, data, and application layers
Identify repeatable patterns, playbooks, and tooling that accelerate future deployments, and help set the standard for what a great deployment looks like
Work closely with Product and GTM teams, and feed what you learn from customers back into the product roadmap
Raise the bar for the team: share what works, document what you learn, and help the next FDE start further ahead than you did
Scientific or clinical fluency; you can hold a peer-level conversation with a researcher about their work
A genuine interest in the science and in what our customers are trying to cure or understand. You care about the outcome, not just the technology.
You've shipped Python and SQL into production, and can point to systems you built that are still running
You've built AI into how you work. You use Claude Code, Cursor, or similar agentic tools, and have concrete examples of work you now take on that you couldn't before or would have handed off
You execute with velocity and have shipped working solutions into complex, real-world environments quickly, and you can explain your decision making along the way
Able to lead customer conversations on your own, with stakeholders from bench scientists to C-suite executives
High agency with a bias towards speed, pragmatism, and ownership, and good judgment about when to build and when not to
You raise the bar, make the people and systems around you better, and you leave behind patterns others adopt
You're hungry to grow and have an appetite to learn something new on every engagement, and this part of your work is energizing for you
Bachelor's degree or higher in a computational, engineering, life science, or clinical field, or equivalent experience
Willing to travel to customer sites as needed, which is currently ~10% travel
What Helps You Stand Out
The more of these areas you can show experience in, the stronger your fit for the role:
Life science and clinical research, including clinical data (bench, translational, or clinical research; EHR structures, trial and registry data, OMOP, ICD, SNOMED)
Bioinformatics and genomics, such as analysis pipelines, genomic file formats, reference data
Data engineering and modeling, inclusive of ingestion and orchestration with Airflow, dbt, Snowflake, and production ELT; schema design, data quality, validation

Nice-to-haves

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Application prep

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Keywords to mirror

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Platform: greenhouse
Effort: quick

Benefits

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Dental

Vision

401k