Forward Deployed Engineering

Saasventurecapital

Jersey City (NJ)

Hybrid

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Health care plan

401(k) retirement plan

Generous paid time off

Hybrid work: NY area in-office 3-4d, 1

Job summary

Dyania Health is hiring a Forward Deployed Engineer to serve as the technical face of Synapsis AI during deployments within healthcare systems. You will translate client needs into data models, integrations, and ETL pipelines, working closely with Clinical Innovations and Engineering to ensure reliable operation within hospital firewalls.

You will collaborate with the Clinical Innovations team to implement clinical projects, optimize data workflows, and support production reporting.

Qualifications

Bachelor’s degree in Engineering, Computer Science, or a related technical field.
+5 years of experience as a software engineer using Python or similar coding languages.
+2 years of technical experience that includes customer-facing work.
Experience with SQL (MSSQL, Postgres) and NoSQL (MongoDB) data stores, including schema design and query tuning.
Experience with containerization (Docker), production services, and CI/CD pipelines.
Hands-on experience with event-driven or workflow-based architectures.
Experience analyzing systems and providing operational enhancements.
Experience communicating risks or failures and capacity to adjust quickly.
Experience leading technical sessions with customers for requirements gathering or debugging.
Clear written and verbal communication skills with stakeholders.
Adaptability and comfort with rapid scaling in fast-moving environments.
Ambiguity tolerance and ability to grow in startup-like settings.
Preferred: healthcare data systems experience and generative AI automation familiarity.

Responsibilities

Serve as the primary technical liaison to the client during deployment and onboarding.
Coordinate deployment timelines with release and reliability engineering teams.
Guide clients through cybersecurity reviews and technical evaluations.

Skills

Python

Customer-facing experience

SQL & NoSQL

Docker

Event-driven architecture

Systems analysis

Risk communication

Technical presentations

Communication

Adaptability

Ambiguity tolerance

Generative AI tooling

Cross-functional collaboration

Startup experience

Medical terminology / EMR data

Education

Bachelor’s degree in Engineering or Computer Science

Master’s/PhD in AI, Engineering or CS

Tools

Docker

Job description

About Dyania Health

Dyania Health exists to make sure no patient misses out on care they need simply because the evidence was buried in their medical records. A person's health story is scattered across years of visits, notes, and test results — and today, finding the patients who need an intervention means clinicians reading charts by hand, one of the most time-consuming processes in medicine. We built Synapsis AI™, our dual-patented clinical reasoning system, to read that full story the way a physician would.

The impact is real and measured: what takes a clinician 30 minutes to 2 hours takes Synapsis AI under half a second, and in peer-reviewed studies at Cleveland Clinic it was more accurate than physician reviewers. Health systems use it first to find patients who need care now, and also to connect patients with clinical trials and accelerate medical research — all while patient data stays securely inside the hospital's own walls.

We're a Series B company scaling across major healthcare system and pharma partners, with a team unlike most startups: one-third clinicians and one-fourth published AI researchers, working side by side. The science is validated. The partners are signed and continuing to sign. What we're building now is the company — and that's where you come in.

The Role

We're hiring a Forward Deployed Engineer, who will report to our VP of Forward Engineering. Together, you'll be the technical face of Dyania inside every client we deploy Synapsis AI into, owning the relationship from deployment through ongoing operation. As we scale, that technical interface will run through the Forward Deployed Engineering team. This is a hybrid role: part client-facing technical liaison, part builder, translating what health systems need on the ground into the engineering work -data models, integrations, pipelines, and workflows- that makes Synapsis AI run reliably inside the healthcare system’s firewalls.

As an Individual Contributor in this role, you'll thrive in a fast-changing, innovation-driven environment and partner hand-in-hand with our Clinical Innovations team composed of MDs, PharmDs, and PhDs. They define the clinical components of our solution; you own the technical side.

What you will own

Client technical requirements

Serve as the primary technical liaison to the client throughout deployment, owning the technical aspects of the onboarding process end to end in direct partnership with our Clinical Innovations Group and Business Development teams.
Prepare deployment timelines and coordinate release schedules alongside our release and reliability engineering teams.
Collaborate on cybersecurity reviews and other technical evaluations of Synapsis AI, guiding clients to sign-off.

Client growth and platform feedback-loop

Capture technical requirements from clients and drive the development of the engineering features needed to ensure Synapsis AI efficient and reliable processing.
Own the data mapping and integration work needed both during deployment and as new use cases emerge at client sites.

Implementation

Analyze and validate the various data environments and data sources Synapsis AI needs to integrate to.
Lead database mapping efforts, SQL logic definition, and prioritization of sources of truth across complex medical data pipelines.
Build and fine tune ETL pipelines that feed Synapsis AI the information needed to process clinical projects
Partner closely with our Clinical Innovations team, who shape the clinical instructions Synapsis AI runs on, to implement clinical projects.
Support the Clinical Innovations and Business Development teams on reporting needs to ensure Synapsis AI accuracy and reliability in production.

Stand-up and operational activities

Build pipelines that automate manual tasks across deployment and the day-to-day operation of Synapsis AI.
Monitor system activity and service health in partnership with our engineering team and client-side engineering team, proposing enhancements as issues or opportunities surface.
Develop, request, or enhance the workflows that support the day-to-day operation of Synapsis AI at each site.
Together with the VP Forward Engineering and in coordination with our Clinical Innovations team, own the technical communication with the client at an operational level while capturing client- and project-specific needs, translating them into clear, actionable requirements for Engineering, Product, or other internal teams at Dyania.

Required Qualifications

Bachelor’s degree in Engineering, Computer Science, or a related technical field.
+5 years of experience as a software engineer using Python or similar coding languages.
+2 years of technical experience that includes customer-facing work.
Experience working with both SQL (e.g. MSSQL, Postgres) and NoSQL (MongoDB) data stores, including schema design, query-level performance tuning, and data mapping.
Experience with containerization (Docker), building and operating services in production, and CI/CD pipelines.
Hands-on experience with event-driven or workflow-based architectures (i.e.: queue/worker systems, pub/sub, durable workflow engines, or similar orchestrations of distributed, retriable jobs).
Experience analyzing systems and providing operational enhancements.
Experience communicating risks or failures and capacity to adjust quickly and fix where needed.
Experience leading technical sessions with customers for requirements gathering, technical presentations, and/or debugging sessions.
Clear written and verbal communication skills with external and internal stakeholders.
Proven capability to operate in fast-moving, high-expectation, founder-led environments.
Comfortable with ambiguity and rapid scaling.

Preferred Qualifications

Master’s or PhD degree in AI, Engineering, Computer Science, or a related technical field.
Experience as a Software Engineer on data-intensive systems in healthcare, bioinformatics, or a similarly regulated domain.
Experience automating processes using generative-AI tools.
Experience leading or partnering closely within cross-functional, multidisciplinary teams.
Experience working in a startup-environment, building products from 0 -> 1 and taking systems from conception to launch.
Strong understanding of medical terminology, EMR data structures, clinical logic, and research methodology.

Who is a Dyanian?

Leads with empathy for our patients, teammates, partners, and clients
Has an insatiable curiosity for learning new concepts and intellectual growth
Has self-awareness in knowing what they know and what they don't know
Maintains humility in recognizing that perfection does not exist, welcoming growth that comes from being wrong
Has a magnetic attraction towards cross-disciplinary teams with diversity of thought, perspective, skill set, working style, knowledge, and interests who have a passion for solving challenging problems
Maintains a flexible and adaptive attitude towards solving problems

Visa sponsorship

At Dyania Health, we sponsor visas on a case-by-case basis.

Travel Requirements

25% - 30%