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Forward Deployed Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Resonate AI
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Forward Deployed Engineer ($110k-$160k, 0.1% to 0.5%)

Forward Deployed Engineer ($110k-$160k, 0.1% to 0.5%) Founder, CEO @ Resonate AI | Ex-Houzz & Microsoft | Forbes Tech Council About Resonate AI

We're building superhuman conversational AI for healthcare. Our first AI product captures missed calls and books appointments with a higher success rate than human receptionists.

People love the product. We're growing rapidly and working with some of the biggest dental groups in the country. We have raised funding from great investors and are now hiring Forward Deployed Engineers to build cutting-edge generative AI experiences. You will work directly with the founder and customers to create, design, and deploy these AI agents.

The Role (Ideal for candidates in early part of their career)

As our Forward Deployed and Implementation Engineer, you'll be the critical link between our AI technology and real-world dental practice operations. You'll embed directly with multi-site DSO customers —building, deploying, and optimizing our AI voice and text agents in production environments.

This is a hybrid role between a solutions engineering role + software engineering + Product Management where you build features for many customers. You'll own the entire implementation lifecycle for customer deployment from integrating their systems like EHR (Electronic Health Record), understanding their unique scheduling flow and deploying custom AI agents. You will then write production code to automate as much part of your role as you can :)

What You'll Actually Do Customer Deployment & Integration
  • Prompt Engineering at its core along with tool and function calling.
  • Embed directly with dental practices and DSOs to understand their patient communication workflows, call handling processes, and revenue leakage points.
  • Build and deploy custom AI voice agents, appointment booking workflows, and multi-modal (voice + text) patient engagement systems.
  • Create Evaluations and simulations environments to see how our Agents perform before they go live.
Technical Problem Solving
  • Write production-grade code to build custom integrations when off-the-shelf solutions don't exist.
  • Debug complex multi-system issues spanning our AI platform, telephony infrastructure, PMS systems, and customer networks.
  • Design and implement evaluation frameworks to measure AI agent performance: call capture rates, booking conversion, revenue attribution.
  • Optimize prompt engineering and agent behavior based on actual call data and customer feedback.
Product Development Feedback Loop
  • Identify patterns across multiple customer deployments that should become core platform features.
  • Work directly with our engineering team to translate field requirements into product specs.
  • Prototype rapid solutions for customer needs, then collaborate to productize them for scale.
  • Contribute code to our core platform when customer learnings reveal generalizable improvements.
  • Maintain detailed documentation of integration patterns, customer workflows, and deployment best practices.
Customer Success & Growth
  • Own the long-term technical relationship with major customers (dental groups, DSOs).
  • Work with Customer Success to Conduct regular performance reviews with customers, demonstrating ROI through data.
  • Identify expansion opportunities based on customer workflows (e.g., extending from inbound calls to outbound).
What You Bring — Required Technical Skills
  • 1-4 years of software engineering experience
    , with demonstrated ability to write production-quality code.
  • Real‑world deployment experience
    : you've shipped code that runs in production customer environments, not just internal tools.
  • Comfort with ambiguity
    : ability to scope and execute projects where requirements emerge through customer discovery.
  • Systems thinking
    : understanding how multiple technical systems interact and where failure points occur.
Startup‑Specific Requirements
  • High agency and ownership mentality
    : you don't wait for perfect specs—you figure out what needs to be done and do it. You are going to be your own PM, Designer, Engineer or any other role that is needed.
  • Scrappiness over polish
    : you can build an 80% solution in 2 days rather than a 100% solution in 2 weeks.
  • Customer empathy
    : genuine interest…
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