Sales Engineer [NYC]

Amigo; New York (NY); On-site; USD 110,000 - 190,000; Full time

Job summary

Concurrence is seeking a Sales Engineer to own the technical side of deals from first conversation through signature. You’ll work with CIOs and CMOs, determine environments, and build demos that prove capabilities. You’ll write code, deliver live demonstrations, and ensure a seamless handoff to delivery teams.

You’ll collaborate with AI engineers, craft proof-of-concept agents, and stay current on AI trends and competitor capabilities, driving adoption of our clinical AI platform.

Qualifications

• Experience in sales engineering or pre-sales at SaaS/AI company.
• Hands-on coding ability to build prototypes (Python).
• Experience with LLMs and prompt engineering.
• Hacker mentality: fast, scrappy, builds from scratch under time pressure.

Responsibilities

• Build rapid POCs and demo environments tailored to prospect workflows.
• Partner with account executives during technical discovery to scope what's possible.
• Design and deliver live technical demonstrations translating pain points into working agent experiences.
• Prototype experimental agent configurations exploring new use cases.
• Run technical deep dives with prospect teams to understand integration requirements and constraints.
• Create reusable demo assets and POC templates to accelerate cycles.
• Write reference architectures, pricing and sizing models for field teams.
• Translate technical objections into solutions including security and integration feasibility.
• Collaborate with Applied AI Engineers to hand off won deals and document learnings.
• Feed field insights back to product and engineering for platform direction.

Skills

Python

LLMs & prompt engineering

Sales engineering experience

SaaS/AI pre‑sales

Job description

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 that 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 tim