At Atrix our journey began with a simple belief:
Breakthrough medicines and technologies change lives and the people making them deserve better tools.

We often celebrate the final moment: a patient receiving a life-saving therapy or a groundbreaking treatment becoming standard of care.
But behind that moment is a complex coordinated effort that begins years earlier.

Pharmaceutical and med device companies shoulder this responsibility every day:

• Advancing science from lab to clinic

• Navigating regulatory and access barriers

• Ensuring safe evidence-based adoption in the real world

Theyre not just bringing products to market; theyre shaping the future of care.

Yet these organizations are often held back by outdated workflows and siloed data unable to fully harness the knowledge that already exists across their teams.

Atrix was built to change that.

We exist to support the mission of those who dedicate their lives to creating and delivering innovations that impact global health.

The Role Description

As a Forward Deployed Engineer you will sit at the intersection of engineering implementation and customer value. Youll partner directly with enterprise pharma and biotech teams to turn complex scientific workflows into reliable AI-powered systems that accelerate evidence generation medical strategy commercial insights and patient impact.

You will become the technical owner of several key customer accounts embedding deeply into their workflows translating their needs into structured requirements configuring Atrixs AI-native platform and ensuring accuracy trust and real-world reliability.

This is one of the most impactful roles at Atrix.

Youll see your work used daily by medical clinical and commercial teams making high-stakes decisions.

Youll work closely with our Engineering Team and CEO and collaborate as a peer to product design and GTM leadership. As one of our earliest FDEs youll help define technical architecture influence product strategy and set the tone for future engineering hires.

This is an hybrid role based in NYC (ability to be in office is required) with flexibility for remote work on some days as needed.

Responsibilities

This role is perfect for someone who is customer-obsessed technically fluent and thrives in fast-moving startup environments. If you love the challenge of translating AI workflows into intuitive product experiences in a high-stakes industry we want to talk to you.

Customer Engineering & Implementation

• Configure Atrix templates pipelines and AI workflows to match complex scientific and medical processes

• Set up and validate customer-approved data sources

• Ensure accuracy reliability and trust in AI-generated outputs

• Drive the full implementation lifecycle: onboarding configuration validation go-live iteration

• Lead weekly customer calls and serve as the primary technical point of contact

Rapid Prototyping & Product Co-Creation

• Build quick prototypes and workflow experiments for GTM initiatives

• Translate customer needs into clear product requirements

• Triage bugs uncover feature gaps and partner with engineering to implement fixes or enhancements

• Shape product roadmap with insights drawn from real-world usage

Quality Guardrails & Accuracy

• Own business-sense QA and accuracy validation for customer deployments

• Identify risk propose guardrails and define scalable validation processes

• Enable AI evals to ensure high trust and quality of all workflows

• Create internal SOPs for deployment QA template configuration and customer onboarding

Account Ownership & Expansion

• Own 35 enterprise accounts end-to-end within 6 months

• Identify patterns across accounts and surface scalable templates or product opportunities

• Become a trusted technical advisor to medical clinical and commercial stakeholders

Must haves

• 25 years in forward deployed engineering software engineering solutions engineering technical consulting ML implementation data engineering or adjacent roles

• CS degree is required if non-software engineering role held in past.

• Strong Python experience; comfortable doing light FE work in React/TS

• Ability to write evals and optimize Ai-driven workflows.

• Ability to translate complex technical ideas to a smart non-technical scientific audience

• Experience working with LLMs prompt engineering or AI-native tools (e.g. Claude code Cursor)

• Obsession with accuracy reliability and the details that matter in high-stakes workflows

• Thrives in customer-facing environments and enjoys owning outcomes not just tasks

• Startup experience strongly preferred

Nice to haves

• Background in life sciences healthcare or real-world data

• Data science experience

• Work experience at healthcare AI startups or technical consulting firms

• Experience deploying AI in regulated or enterprise settings

Why Join Atrix as an FDE

Mission-Driven Impact
Your work will help life sciences teams deliver the right treatment to the right patientfaster. Real-world clinical outcomes start with better tools and youll be building them.

Customer-Centric & High-Stakes
You wont be building in a vacuum. Youll work directly with top-10 pharma companies to understand how AI can transform medical workflowsthis is high-impact high-visibility work.

End-to-End Ownership
Own major parts of the stack shape technical architecture and influence product direction from day one.

Early Stage High Growth
Were small and moving fast. Youll help shape both the technology and the culture as we scale.

Tech Meets Trust
Design AI-native workflows that scientific and medical teams trust and depend on daily.

Clear Growth Path
Opportunity to grow into a Lead Frontend or Fullstack Tech Lead role as we expand the engineering team.

What we offer

Health & wellness support Stipend medical (vision dental health) insurance coverage
Unlimited PTO Recharge when you need to

Communication Test (est. time 510 min)

Instead of a traditional cover letter and resume wed like you to complete a short task to show how you work:

Step 1

Use an AI tool (ChatGPT Claude Gemini etc.) to generate 35 short fake customer interaction notes.
These should look like quick snippets from a customer support chat (e.g. a frustrated user a neutral inquiry a positive message).

Step 2

Using the same AI tool create:

1. A simple checklist-style sentiment rubric

This should include:

• The sentiment categories you choose (e.g. Positive Neutral Negative).

• Short definitions for each category.

• 12 criteria the evaluator/model should look for.

2. A short description (12 paragraphs) explaining:

• How you used the AI tool.

• What prompts you wrote.

• Any challenges you encountered (e.g. model over-explaining unclear sentiment boundaries).

Step 3

Send us your:

• Customer interaction notes

• Sentiment rubric (checklist)

• LLM usage notes

These can be in a Google Doc Word Doc or PDF.