Director/Sr. Director, Discoverability

Death is our only foe. Immortals was founded by Bryan Johnson and Kate Tolo to build a new standard for human health and longevity. We’re building Autonomous Health: a system that uses measurement, scientific evidence, and personalization to help people understand their bodies and make better decisions about their health.

What began with Bryan becoming the most measured person in history is becoming a platform for everyone. Immortals brings together biomarkers, longevity medicine, nutrition, prescriptions, wearables, and personalized protocols in one place, turning health data into clear, actionable decisions. We’re a small, ambitious team building what we believe will become the new operating system for human health.

We move quickly, think from first principles, care deeply about the quality of our work, and hold ourselves to an unusually high standard. Our mission is simple: help billions of people live healthier lives for longer, and ultimately, Don’t Die. We're seeking a Senior Director of Discoverability to own how Bryan Johnson and Blueprint are found, cited, and represented across LLMs, search, and AI systems.

LLMs and AI Overviews already know who Bryan is. This role is designed to win citation credit that’s currently being given to 3rd parties, while also building the roadmap for a major domain migration. This is an infrastructure and authority role, not a traditional SEO role. The right person thinks in citation networks — understanding how someone could own a search query like 'biological age reversal' in every AI system based on what's been cited and indexed over time, not on what ranks today.

You will own discoverability end-to-end: technical infrastructure, content authority, LLM citation strategy, Wikipedia and Wikidata presence, and domain migration architecture. You will manage a lean specialist team of contractors and vendors executing against a clear 30-day plan.

Requirements

Own the full domain migration strategy — design and sign off on the redirect and canonical architecture before any content is built on URLs that will need to move Deploy llms.txt, robots.txt, and Schema.org structured data across all web properties to establish direct LLM citation infrastructure Build same. As schema linking Blueprint and other Bryan Johnson brands as the same entity.

Seed LLM authority for new brands now — own the 'Immortalism,' 'Warriors and Caretakers,' and 'Don't Die' semantic spaces in training data before the brand launches Manage the YouTube transcript pipeline (1,012 videos, 390M views) — convert to indexed HTML at 50 pages/week with brand-agnostic URL structure Oversee Wikipedia strategy — Don't Die philosophy article submission and Bryan Johnson biographical article updates via disclosed COI editor Manage Wikidata entity migration — add new brands as a founded-by relationship and create linked entity before the domain migration Brief and manage all specialist contractors and vendors: technical SEO engineer, content writer, transcript pipeline engineer, schema vendor, LLM tracking vendor, Wikipedia consultancy, PR agency Run the weekly LLM citation tracking protocol Manage and grow the discoverability team over time as Blueprint scales Basic Qualifications: 10+ years of experience in SEO, growth, or digital media Bachelor's Degree in Marketing, Advertising, or other related field Has personally managed a major domain migration in the GEO era — knows how 301s, canonical tags, same.

As schema, and Wikidata migrations work in practice, not just theory Has shipped an llms.txt and tracked LLM citation pattern changes as a result Strong understanding of how LLMs are trained and how citation authority accrues Experience managing cross-functional teams of contractors, freelancers, and vendors simultaneously Experience with AI search visibility platforms (Profound, Otterly.

AI, or equivalent) Comfortable operating in a fast-paced environment with high standards and minimal bureaucracy Preferred Skills: Background in health, science, or longevity media — understands how citations work in scientific contexts, not just SEO contexts Experience with programmatic content at scale — has managed a 500+ page pipeline without triggering a Google thin-content review Familiar with the Wikipedia COI disclosure process and Wikidata editing Has worked with Schema App or similar managed schema deployment services Strong familiarity with scientific or clinical data and the ability to assess what makes a claim LLM-citable vs.

not Benefits Salary Range: $175-260k + equity + benefits