Why This Job is Featured on The SaaS Jobs
Forward Deployed Engineering roles sit at a key junction in modern SaaS: turning a product into a working, repeatable deployment inside real customer environments. In this case, the software is delivered into health systems with strict security and infrastructure constraints, which makes implementation discipline and operational reliability central rather than peripheral. The Series B stage also signals that deployments are becoming a primary scaling motion, not one-off projects.
For a SaaS career, this kind of position builds durable platform instincts. It develops fluency in integrations, data mapping, and production operations, alongside the stakeholder management needed to translate on-the-ground requirements into engineering work. The combination of SQL and NoSQL, containerized services, CI/CD, and workflow-based architectures maps closely to how many SaaS companies operationalize data-intensive products as they expand across customers.
This role tends to suit engineers who like owning outcomes end to end, including ambiguous edge cases that surface only after software meets a customer’s systems. It is also a strong match for professionals who want regular customer contact without leaving hands-on engineering, and who are comfortable collaborating with domain experts to turn complex requirements into maintainable technical workflows.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
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%
- Competitive Salary
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Generous Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Training & Professional Development Support
- Hybrid work: 3-4 days in the office (NY area), 1 day remote
