About Haven Headache & Migraine Center: Online migraine clinic

Haven http://havenheadache.com is building the future of migraine care for the 40 million Americans who suffer from this debilitating neurological condition. Backed by Precursor Ventures and 1843 Capital, we're transforming how migraine is treated through an innovative combination of telemedicine, AI-enabled monitoring, and personalized care plans. Our early results are exceptional - our initial patient cohort is seeing a 70% improvement rate with days impacted by headache reduced by half.

Our cash compensation amount for this role is targeted at $200,000-$250,000/yr for the San Francisco Bay Area. The posted range represents the typical compensation range for this role. To determine actual compensation we review the market rate of each candidate which can include a variety of factors including qualifications, experience, and location. Additional benefits including meaningful equity, are shared as part of the job posting.

The Opportunity:

As an early member of our engineering team focused on AI, you'll have an outsized impact on both our product and our roadmap. You'll work directly with our design, operations, engineering, and clinical teams to figure out where AI genuinely improves patient care, and then build it. We're tackling a $112B market opportunity where only 8% of patients currently receive adequate care, and AI is core to how we plan to close that gap.

Our Technology:

This is a largely greenfield AI opportunity. We have a custom, in-house care delivery platform (Elixir/Phoenix on AWS) that's generating real clinical and operational data, but the AI layer on top of it is mostly still to be built. You'll have meaningful latitude to shape what we build, what we buy, and how we evaluate it - across patient care optimization, clinical decision support, automated care routing, and the ideas we haven't had yet. Our philosophy emphasizes simplicity and pragmatism: we reach for the simplest tool that solves the problem, not the most impressive one.

You'll Help Us:

Your primary focus will be turning product ideas into shipped AI features. You'll incorporate product thinking along with applied ML to take ambiguous concepts from our clinical and operations teams, and figure out whether AI is the right tool for the job, deciding which AI approach fits, prototype it, and drive it through implementation alongside the broader engineering team.

We think about AI feature development in three phases: design and prototyping, implementation, and production hardening. You'll own the first two end-to-end and partner with the broader engineering team on the third.

Key responsibilities include:

- Translating product ideas into feasible and defined features, specs, and roadmap items, then implementing them.

- Selecting the right tool for each problem - deciding between RAG, fine-tuning, prompt engineering, agentic workflows, classical ML, reinforcement learning, or no-AI-at-all - and making build-vs-buy calls that weigh cost, latency, quality, and maintenance burden.

- Building the evaluation systems we need to know whether our AI features are actually working - and shipping custom models or prompts to production when off-the-shelf doesn't cut it.

Early startup employees often wear many hats, too many to list in a concise set of bullets. While the primary responsibilities are building out the platform, you may occasionally touch areas across the broader scope of the company goals.

What We're Looking For:

- 5+ years of experience building AI/ML-powered product features, with at least one shipped to production.

- Practical fluency across the modern AI stack - LLMs, embeddings, retrieval, evals, agents, fine-tuning - and the judgment to know which approach fits which problem. Experience taking custom models or non-trivial prompt systems from prototype to production matters more than depth in any single technique.

- Strong product intuition - you can sit in a room with clinical and design partners and turn a fuzzy idea into something concrete and buildable.

- Comfort with early-stage startup ambiguity, and a history of pushing outside your role to understand requirements or dig into the data to understand user behavior.

You’re likely a strong fit if you get things done, are a good communicator and have empathy https://amattn.com/p/empathy_again.html for yourself, our patients and all of your co-workers across the org. Other skills that are helpful but can be learned on the job include experience integrating with healthcare APIs, working with HIPAA-compliant systems, and the business of running a virtual telehealth clinic.

As an early employee, you'll have a significant opportunity for career growth as we scale. This role supports career track development in both individual contributor or management tracks.

Our Culture & Benefits: At Haven, we offer a unique opportunity to work directly with experienced founders who have built and scaled successful healthcare companies.