Acclinate Inc. Head Of Engineeing 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.

We are looking for a hands-on player-coach to own our engineering function and continue scaling AVA into an enterprise-grade platform. As a hands-on player-coach, you will lead and grow the engineering team while shipping code directly. You prioritize impact over flawless code, collaborating on customer calls to shape and deliver working software from minimal specs without waiting for extensive documentation. Balancing rapid innovation with strict healthcare compliance, you will establish a clear boundary between development speed and rigorous production releases. 

What You Will Own 

Architecture & Systems

• Own the architecture and the full-stack systems that handle complex proprietary data, analytics pipelines, and LLM-powered features.
• Maintain and modernize our core technology stack, including GCP-native infrastructure (Cloud Run, BigQuery, Pub/Sub, Vertex AI), containerization, CI/CD, and Ruby on Rails.
• Lead in exploring the potential of a new stack to migrate and modernize the frontend/backend.
• Own integrations across our data and business ecosystem, including Metabase, HubSpot, and other systems that connect 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's report. See the whole chain, know where it breaks, and design so the break is visible before a customer sees it.

Data Confidence & Traceability

• Be confident in the data. The platform pulls from several external platforms, runs predictive scoring models, and reports back. You need to know where every number comes from, trace a wrong metric to its source, and fix the pipeline when an upstream platform changes.
• You can write the SQL that answers a customer's question and stand behind the number. You've built or run integrations that pull from third-party APIs, normalized messy external data into your own models, and kept reporting correct when the upstream changed.

Quality & Delivery Standards

• Own quality and delivery: small PRs, tests that prove the behavior, migrations that do not break a deploy, structured logs and traces so production tells us what happened.
• Maintain strong security and compliance standards, including data security, audit trails, HIPAA compliance, and SOC 2 readiness, without introducing unnecessary development friction.
• Modernize engineering processes through streamlined code reviews, automated testing, and production monitoring so teams can ship quickly and confidently.

Product & Customer Partnership

• Carry product judgment into code. Join customer and partner calls when the work calls for it. Turn a thin spec into working software without waiting for a document that describes how buttons behave. Push back when the ask will not hold up in production.
• Serve as a strategic partner to Product, Community, Marketing, Customer Success, and Commercial teams to align engineering output with business objectives - and challenge assumptions when you see a better path.

Team Building & Mentorship

• Manage, mentor, and work alongside the existing engineering team, fostering a culture of fast iteration and technical excellence.
• Build and scale the team intentionally - hiring engineers who excel in rapid prototyping, system architecture, and disciplined delivery.
• Help onboard. As the team grows, you bring new engineers into the codebase and the customer context.

AI-Native Development

• Work AI-native. Drive Claude Code, Cursor, or the equivalent for most of your output. You treat AI tools as collaborators, not crutches. You know when to prompt, when to code by hand, and how to critically evaluate AI-generated output.
• Write the repo instructions, decision records, and plans that make AI agents produce correct code the first time. Structure the codebase and documentation so an AI agent can succeed.
• Review agent output with the same rigor you would give a junior engineer's PR.
• Actively help the team improve how it leverages AI, whether by refining workflows, sharing best practices, or identifying opportunities to build internal tooling.

What You Bring

Core Leadership & Engineering Capability - We're open to:

• Someone with 8+ years of traditional engineering leadership who has recently pivoted to Claude-native thinking (proven by shipping)
• Someone with 5+ years who has already worked in AI-native shops and knows this world cold
• Someone early-to-mid career (3–5 years) who is so clearly exceptional at moving fast and shipping that they've outpaced peers with more time

Technical Depth

• 5+ years building production systems, with at least one system you took from early design to customers using it.
• Data Engineering & AI: Experience with data pipelines, data security, and integrating modern AI tooling or LLM APIs into production applications.
• Cloud Infrastructure: Strong cloud experience (GCP strongly preferred). Working knowledge of Cloud Run, BigQuery, Pub/Sub, Vertex AI, and CI/CD best practices.
• Full-stack capability: Operate across backend architecture, data infrastructure, APIs, integrations, and front-end experiences. Ruby on Rails and a typed client framework preferred; strong Rails plus React with a willingness to learn Flutter also works.
• Data-model-first thinking: You design the tables and the API before the screen, and you can explain the tradeoffs.

AI Tooling Fluency

• Daily use of AI coding agents on real codebases, and a clear view of where they fail.
• You can describe how you structure a repo so an agent produces correct code, and what you check before you merge its work.
• You use AI to accelerate development, explore unfamiliar codebases, and improve productivity while maintaining high standards for code quality, testing, and ownership.

Communication & Async-First Mindset

• Plain, direct written communication. Most of your coordination is asynchronous. You write PR descriptions, decision records, Slack updates, and strategy memos that a non-engineer can follow.
• Comfort with a small team and a real customer base. Ambiguity is normal. Shipping is expected.
• Systems thinking: You reason about the whole system—data in, jobs, storage, API, client, and the person reading the result. You design for failure modes, not the happy path.

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.