Forward Deployed Engineer, Notable
$160-185k
+ Offers Equity
3 days a week in office (San Mateo, CA)
AI platform for healthcare operations
Be an early applicant
AI platform for healthcare operations
201-500 employees
Be an early applicant
$160-185k
+ Offers Equity
3 days a week in office (San Mateo, CA)
201-500 employees
Company mission
To improve the lives of patients, staff, and clinicians - to improve healthcare for humanity.
Role
Who you are
- Our ideal candidate is technically curious, an excellent communicator, and deeply committed to customer success
- They thrive in collaborative environments working seamlessly with both technical and non-technical partners and are comfortable operating in a fast-moving setting with evolving goals and continuous user feedback
- You Thrive on Technical Challenges: You are a builder who enjoys pushing the boundaries of AI innovation and are comfortable digging deep into areas you are unfamiliar with to make it happen
- You Obsess Over Outcomes: You demonstrate strong product intuition, understanding that the goal is not just software delivery, but tangible ROI and improved outcomes for patients and providers
- You Bridge the Gap: You enjoy operating at the intersection of technical execution and strategic vision, inspiring innovation in the partners and leaders you build with
- You have an Entrepreneurial Mindset: You look at yourself as an owner who likes to build and solve challenges others have yet to master, thriving in an autonomous, high-performance environment
- 5+ years of experience in Forward Deployed, Solutions, or Implementation Engineering roles with significant client-facing responsibility
- Proficiency in TypeScript/Node.js for backend development and scripting. Experience with APIs (REST, gRPC), event-driven architectures, and cloud infrastructure (AWS/GCP/Azure)
- Practical experience building with LLMs, including prompting, RAG, vector databases, and evaluation frameworks
- Familiarity with healthcare data standards (HL7, FHIR, C-CDA) and workflows (Revenue Cycle, Access) is preferred
- Ability to communicate technical concepts to a variety of audiences, from technical/IT teams to operational executives
- This role offers a blend of in-office collaboration and travel. You’ll spend about 50% of your time meeting with customers and teams on-site, and we ask that you join us in the office three days a week to stay connected and work closely with your teammates
What the job involves
- As a Forward Deployed Engineer, you will partner directly with customers to understand their biggest challenges and rapidly design, implement, and integrate technical solutions that drive real impact
- This role blends problem-solving, creativity, and hands-on engineering as you help deploy products and workflows in live environments
- You’ll gain unique exposure to critical industries and institutions across the country and play a key role in shaping how they operate and innovate
- Technical Solution Design & Architecture: Leverage engineering expertise to design scalable AI workflows for clinical and operational use cases
- You will produce professional-grade systems and data-flow diagrams to define interfaces, failure modes, and integration points with EHRs and legacy systems
- Build & Deploy AI Agents: You will get hands-on to configure and deploy Large Language Model (LLM) powered workflows
- This involves applying advanced prompting strategies, building agentic workflows, and tuning vector stores for quality, latency, and cost
- Security & Compliance Assurance: Perform technical validation of AI algorithm outputs and ensure strict adherence to HIPAA/SOC 2 controls
- You will establish guardrails (audit trails, least-privilege access) to ensure safe clinical deployment
- Execute & Operationalize: Independently manage technical implementation plans, defining scope and setting expectations with customers
- You will drive "scrappy-but-safe" prototypes into production and facilitate the transition to steady-state ownership alongside Customer Success teams
- Stakeholder Engagement: Serve as the technical voice in customer meetings, translating complex platform capabilities into clear value propositions for executives and non-technical stakeholders
- Drive Product Improvement: Provide input to internal cross-functional teams on platform gaps, identifying which capabilities are harder to deploy and helping to widen the competitive advantage
Our take
Healthcare systems today are under huge pressure, with staff stretched thin, and repetitive administrative tasks like scheduling, authorization, and referrals soaking up precious time and resources. Notable addresses this challenge by offering an AI-powered automation platform built specifically for healthcare operations. At its core, the platform helps healthcare organisations automate routine workflows with digital "AI Agents" that work in and out of electronic health records, reducing costs, complexity, and manual burden.
Its AI Agents use natural language and deep integrations (EHR, payer portals, etc.) to handle workflows that traditionally require a lot of back-and-forth between staff and patients. For example, its authorization solution can automatically check whether prior authorizations are needed, submit requests, and update the EHR - cutting out much of the manual legwork.
As skilled administrative staff become harder to come by but the need for medical care only icnreases, the demand ofr Notable's product is set to grow. With its scalable platform, low-code "Flow Builder", and strong security, Notable is sure to continue shaping the future of healthcare operations, improving both efficiency and patient experience for years to come.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
47% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Nov 2021
$100m
SERIES B
Sep 2018
$13.5m
SERIES A
Total funding: $119.2m
Company HQ
Downtown, San Mateo, CA
Leadership
Adam Ting
(Co-Founder & CPO)Adam is a Stanford graduate who prior to Notable, worked as Head of Design at Blend.
Justin White
(Co-Founder & CTO)Justin has a PhD in physics from Stanford. Prior to Notable, Justin was the VP of Engineering at Blend.
Pranay Kapadia
(Co-Founder & CEO)Prior to Notable, Pranay worked for Microsoft and Intuit. They were also the VP Product Management at Blend.
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