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Director of Engineering

Job in Philadelphia, Philadelphia County, Pennsylvania, 19113, USA
Listing for: Acclinate Inc.
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    Full Stack Developer, Software Engineer, Backend Developer
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Acclinate Inc. Director of Engineering Remote
· Full time

We are looking for a hands-on Director of Engineering to lead our engineering function and scale AVA, Acclinate's community intelligence platform, into an enterprise-grade product. You will report to our Head of Product & Marketing and lead and grow a small engineering team while shipping code yourself. You will work inside a unit that owns the path from customer and community need to product, launch, and growth.

Product decides what we build and why. You own how it gets built, whether it is ready for production, and whether the data behind it can be trusted. You prioritize impact over flawless code. You join customer calls, turn thin specs into working software, and keep a clear boundary between fast iteration and rigorous, compliant production releases.

About Acclinate Inc.

Acclinate is the catalyst for health equity. We use trust, technology, and community engagement to help the healthcare ecosystem connect with those they aim to serve. Our approach ensures innovation is inclusive, empowering communities to take actions for better health.

Description
What you will own
Architecture and systems
  • Own the architecture and full-stack systems behind complex proprietary data, analytics pipelines, and LLM-powered features.
  • Maintain and modernize our core stack: GCP-native infrastructure (Cloud Run, Big Query, Pub/Sub, Vertex AI), containers, CI/CD, and Ruby on Rails.
  • Evaluate a new stack to modernize the frontend and backend, and bring a migration recommendation to the Head of Product & Marketing.
  • Own integrations across our data and business systems, including Metabase, Hub Spot, and the tools connecting product, analytics, customer, and operational data.
  • Think in systems. Every feature touches an external platform, a background job, a database, an API contract, a client, and a customer report. Design so a break is visible before a customer sees it.
Data confidence and traceability
  • Know where every number comes from. The platform pulls from several external sources, runs predictive scoring models, and reports back to customers.
  • Trace a wrong metric to its source and fix the pipeline when an upstream platform changes.
  • Write the SQL that answers a customer's question, and stand behind the number.
Quality, security, and compliance
  • Set delivery standards: small PRs, tests that prove behavior, migrations that don't break a deploy, and structured logs and traces.
  • Build and maintain the technical controls for data security, audit trails, HIPAA, and SOC 2, working with our Director of Quality Assurance and Compliance, who owns the compliance program.
  • Modernize engineering processes through streamlined code review, automated testing, and production monitoring.
Partnership with Product and the business
  • Turn product priorities into a delivery plan, and be clear about what it will take.
  • Join customer and partner calls when the work calls for it. Turn a thin spec into working software without waiting for exhaustive documentation.
  • Push back when an ask won't hold up in production, and propose a better path. Your manager expects this.
  • Work with Community, Customer Success, and Commercial teams so engineering output supports how we sell, deliver, and support the product.
Team building and mentorship
  • Manage, mentor, and work alongside the engineering team, including engineers supporting AVA and NOWINCLUDED.
  • Build the team intentionally, hiring engineers who are strong at rapid prototyping, system design, and disciplined delivery.
  • Onboard new engineers into the codebase and the customer context.
  • Use Claude Code, Cursor, or an equivalent for most of your output. Know when to prompt, when to code by hand, and how to evaluate AI-generated work critically.
  • Write the repo…
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