Acclinate Inc. Director of Engineering Remote · Full time

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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.

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, BigQuery, 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, HubSpot, 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.

AI-native development

• 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 instructions, decision records, and plans that help AI agents produce correct code the first time.
• Review agent output with the rigor you'd give a junior engineer's PR.
• Help the team improve how it uses AI through better workflows, shared practices, and internal tooling.

What you bring

Leadership and engineering experience

We're open to several profiles:

• 8+ years of engineering leadership, with a recent and proven shift to AI-native ways of working.
• 5+ years in AI-native engineering teams, with deep fluency in how they operate.
• 3–5 years, if you have clearly outpaced peers with more experience through speed and shipping.

In every case, you have led engineers directly and are comfortable reporting to a product and commercial leader rather than a technical one.

Technical depth

• 5+ years building production systems, including at least one you took from early design to customers using it.
• Data engineering and AI: data pipelines, data security, and LLM APIs or modern AI tooling in production.
• Cloud infrastructure: strong cloud experience, GCP preferred, including Cloud Run, BigQuery, Pub/Sub, Vertex AI, and CI/CD practices.
• Full stack: backend architecture, data infrastructure, APIs, integrations, and front-end work. Ruby on Rails and a typed client framework preferred; strong Rails plus React and a willingness to learn Flutter also works.
• Data-model-first thinking: you design tables and APIs before screens, and can explain the tradeoffs.
• Healthcare or regulated-data experience (HIPAA, SOC 2, audit trails) is a strong plus.

AI tooling fluency

• Daily use of AI coding agents on real codebases, with a clear view of where they fail.
• A concrete approach to structuring a repo so an agent produces correct code, and to checking its work before merging.

Communication

• Plain, direct writing. Most coordination is asynchronous: PR descriptions, decision records, Slack updates, and memos a non-engineer can follow.
• You can explain technical risk and tradeoffs in business terms to a non-technical manager and to customers.
• Comfort with a small team, a real customer base, and ambiguity. Shipping is expected.

Salary and Benefits

Compensation depends on experience and includes base salary, equity, and a comprehensive benefits package. At Acclinate, we offer a competitive benefits package, including health, dental, and vision insurance with 50% of premiums covered by the company. We also provide a generous Paid Time Off (PTO) policy alongside dedicated paid sick leave.