Sales Engineer [NYC]

About Concurrence

At Concurrence, we're building the clinical AI infrastructure that health systems, life sciences companies, payors, and government agencies run their patient-facing care on. Our agents work across the whole patient journey: pre-visit intake, care navigation, post-visit care plans, and ongoing monitoring. Our mission is to make excellent care accessible to every patient, not rationed by the limits of clinician time.

This hasn’t been solved because the underlying record was never built for it. EHRs were designed for billing, not for systems that learn. So instead of layering another point solution on top, we’re rebuilding the medical record as a timeline of clinical events and running agents on top of it that improve with every patient interaction. Unlike single-purpose chatbots or scribes, Concurrence is the platform our customers use to build their own agents. That means our work has to hold up across specialties, workflows, and regulatory environments and not just one narrow use case.

Our agents have supported more than 10 million patient encounters and are on track to grow tenfold this year. Our work is validated through partnerships with leading academic medical institutions. We’re fresh off our Series A, backed by Tier 1 VCs such as Madrona, General Catalyst, and Optum Ventures.

We’re a small team of around 35 people, working in person in New York City and San Francisco. We care deeply about craft, clinical rigor, and the speed at which good ideas reach patients. If you want your work to be measured in outcomes rather than releases, we’d like to hear from you.

About this role

As a Sales Engineer at Concurrence, you'll own the technical side of a deal from first conversation through signature. You'll work alongside the account executive with CIOs, chief medical officers, and their teams, establish what their environment supports, and build the demo that proves it. It's a hands-on role: our sales engineers write code, and the job is to show a prospect what's possible, not only what already exists.

The role exists so our Applied AI Engineers can stay focused on production deployments. You own the pre-sales technical surface: scoping what we can do, building proof-of-concept agents, running technical discovery, and making the product feel real before anything is signed.

You'll often be the only technical person in the room, so the role suits someone who can carry that without support. The standard we work to is that a demo should hold up as a product rather than a services engagement.

We're building the team around two complementary strengths, and we'd rather someone be excellent at one than adequate at both. The first is building: you'd rather prototype five ideas in a week than polish one for a month, and you're happy being the first person to try the platform in a clinical domain we haven't touched. The second is domain depth: understanding how health systems operate, who signs, and who blocks. Over time we want coverage across the ecosystems our customers run on, including Epic, Cerner, Salesforce, and on-premise deployments.

What you'll do

Build rapid POCs and demo environments tailored to specific prospect workflows and clinical use cases

Partner with account executives during technical discovery to scope what's possible and shape deal architecture

Design and deliver live technical demonstrations that translate prospect pain points into working agent experiences

Prototype experimental agent configurations that explore new use cases and push the boundaries of what our platform can do

Run technical deep dives with prospect clinical, IT, and operations teams to understand integration requirements and workflow constraints, including EHRs and payor systems we haven't worked with before

Create reusable demo assets and POC templates that accelerate future sales cycles

Write the reference architectures, pricing and sizing models, and persona maps our cloud and data partners need to put us in front of their field teams

Translate technical objections into solutions during the sales process, including security, compliance, and integration feasibility

Collaborate with Applied AI Engineers to hand off won deals cleanly, documenting POC learnings and customer expectations

Feed insights from the field back to product and engineering: what prospects are asking for, what patterns emerge, and where the platform should go next

Stay current on AI and LLM developments and competitor capabilities

What we're looking for

Experience in sales engineering, solutions engineering, or a technical pre-sales role at a SaaS or AI company, with deals you can point to and describe your own technical contribution on

Strong hands-on coding ability. You can build a working prototype, not just talk about one, and you're proficient in Python

Experience with LLMs, prompt engineering, and building on AI platforms

A hacker mentality: you're fast, scrappy, and energized by building things from scratch under time pressure

Genuine excitement for AI innovation and exploring experimental use cases. You follow the space obsessively

Ability to run a room, presenting to technical and executive audiences, handling objections live, and thinking on your feet

Strong discovery skills: you ask the right questions to uncover real problems, not just stated requirements

Experience working deals alongside account executives, and an understanding of sales cycles and buyer psychology

Clear technical communication. You can explain complex systems to non-technical stakeholders without dumbing it down

Comfort with ambiguity: prospects don't hand you clean requirements, and you thrive in that environment

You're low ego, direct, and hold yourself to a high bar

You can work on site in New York City

Nice to have

Experience in healthcare technology or another regulated industry

Background as a software engineer who moved into a customer-facing role, or the reverse

Deep knowledge of one ecosystem we sell into (Epic, Cerner, Salesforce, on-premise health systems), including how those organizations buy

Familiarity with healthcare workflows, clinical terminology, and interoperability standards such as FHIR

Understanding of healthcare compliance requirements such as HIPAA and SOC 2

Experience building demo environments or sandbox platforms

Experience with voice agents, and the latency and quality tradeoffs in speech to text and text to speech

Experience building cloud partner motions, such as AWS or GCP marketplace listings and joint reference architectures

A track record of directly influencing deal outcomes through technical work

Benefits (available to Full-Time Employees)

Health & Wellness

Comprehensive health, dental, and vision insurance

Daily catered lunch and dinner

Mental health support and wellness coaching

Flexible wellness stipend for fitness, therapy, or personal growth

Growth & Development

Annual learning budget for courses, books, or conferences

Conference attendance budget for professional development

Annual team offsite

Academic collaboration opportunities

Unlimited PTO

Our Core Values

Patients Win, We Win

If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it.

High Standards, High Care

We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them.

Thoughtful Urgency

We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and c