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SuperDial - FDE

Published · Updated

$125,000–$160,000annualizedSan Francisco, CA

A customer-facing Forward Deployed Engineer will build Python backend infrastructure and integrate AI workflows for an AI-first revenue cycle management platform.

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View posting at openreqstaffing

At a glance

Posted base pay

$125K–$160KBelow the median

The work

Builds what the customer runs

Balance

  1. Mostly building
  2. Mixed
  3. Mostly pre-sales or support

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations (not covered)
Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Technical lead

What they ask for

Experience

  • 2+ yearsbackend engineering experience

Background

  • Software engineering

Tools

  • Python
  • FastAPI
  • LLMs
  • AI agents
  • Docker
  • PostgreSQL
  • CI/CD

Less common in FDE jobs

  • Individual contributor or manager: Technical lead47%

Share of US FDE postings that state each fact.

The job description from openreqstaffing

Posted by openreqstaffing on

We’re looking for a Forward Deployed Engineer with strong Python experience and a product mindset. You’ll work closely with our customers to design and build the core infrastructure that powers our AI-first RCM platform. You’ll have a front-row seat to user feedback and help shape not just the tech, but the product itself.

About the Role:

  • Design and implement backend services and APIs using Python (FastAPI or similar)
  • Work directly with customers to understand needs, gather feedback, and build solutions
  • Integrate LLMs and AI agents into operational workflows
  • Own system design decisions related to performance, reliability, and scale
  • Lead technical projects from architecture through deployment
  • Collaborate cross-functionally with Product, AI, and Ops teams
  • Help shape engineering best practices, mentoring junior developers as we grow

About You:

  • 2+ years of backend engineering experience, with deep Python expertise
  • Strong background in building and scaling APIs, services, and distributed systems
  • Proven ability to work closely with end users and translate feedback into product improvements
  • Experience with modern infrastructure (Docker, cloud platforms, CI/CD)
  • Familiarity with databases (PostgreSQL preferred) and async programming
  • Bonus: experience in AI, LLMs, or healthcare tech (especially RCM)
  • Bonus: startup or 0→1 experience

Why Join SuperDial

  • High ownership: your work will directly impact our customers and business
  • Deep customer connection: work closely with real users to ship fast and iterate
  • Mission-driven team: solving real, painful problems in US healthcare
  • Competitive compensation, early equity, and full benefits

Who we are:

SuperDial is transforming AI in healthcare by building scalable, AI-powered solutions that optimize revenue cycle management. Join us and help shape the future of AI in healthcare!

The base salary for this role ranges from $125,000 to 160,000, depending on experience, skill set, and fit. We also offer equity and benefits as part of our total compensation package. Final offers may vary based on experience and qualifications - we’re always open to exceptional talent.

Compensation

The base pay range for this role is $130,000 – $160,000 per year.

View posting at openreqstaffing

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Pay and conditions

Posted pay
$125,000–$160,000Annualized in US dollars
Pay details

The base salary for this role ranges from $125,000 to 160,000, depending on experience, skill set, and fit. We also offer equity and benefits as part of our total compensation package. Final offers may vary based on experience and qualifications - we’re always open to exceptional talent. The base pay range for this role is $130,000 – $160,000 per year.

Location
San Francisco, CA
Employment type
Full-time
Experience requirements
  • 2+ years: backend engineering experience (required)