Director of AI and Emerging Technology

The Position

The Director of AI and Emerging Technology will lead Sequencing.com’s AI and emerging tech function, sitting at the intersection of Product and Engineering, and partnering closely with Bioinformatics, Design, and Growth to build AI-powered capabilities that advance our mission to transform DNA from static data into an interactive source of lifelong health intelligence for individuals and families. This leader will be responsible for defining the AI and emerging technology strategy, setting the technical vision, and establishing the processes, standards, and operating rhythm that ensure AI is deeply and effectively embedded across our products.

This role will own outcomes for AI and emerging technology across our genomics platform and native apps, including improving user engagement, quality, and time-to-insight, while driving clear, measurable impact on company growth and AI-driven revenue in a fast-moving health tech environment. It combines strategy, hands-on technical leadership, and executive communication, and you will work directly with cross-functional partners to translate AI opportunities into shipped, high-impact capabilities that consistently raise the bar for genomic intelligence and customer experience.

The Impact

* Define and own the company-wide AI and emerging technology strategy, aligned with product and business goals for AI + genomics.

* Build and maintain AI strategy docs, technical roadmaps, and a bioinformatics AI roadmap that translate vision into clear initiatives, milestones, and metrics.

* Design and lead an AI agent framework and automation infrastructure (agent swarms/societies) to power genomic interpretation, personalization, and operational automation.

* Partner with Product, Engineering, and Bioinformatics to ship AI/ML features across web and native apps, from prototype to scaled production.

* Drive AI feature adoption, continuously improving model accuracy, quality, and time-to-insight for genomic AI use cases.

* Collaborate with Mobile Engineering to make native app development smoother, improve app quality, and ensure successful submission and performance in app stores.

* Work closely with Growth and Product to design experiments that increase AI-driven user engagement, retention, and revenue.

* Establish and track core AI metrics: AI feature adoption rate, model accuracy and quality, time-to-insight for genomic AI, AI-driven revenue impact, and team velocity/innovation output.

* Build, lead, and mentor a high-performing AI/ML and emerging tech team, including AI/ML engineers and bioinformatics scientists.

* Ensure structured alignment and communication with the CEO, Bioinformatics, Engineering, Product, Design, and Growth leaders.

Dominant and Recessive Traits

* 8+ years total experience in AI/ML, with significant time in product-led environments (health tech, genomics, or related).

* Proven track record building and scaling AI products end-to-end, AI research + product integration and team building.

* Experience designing and leading AI agent frameworks and automation infrastructure (including multi-agent swarms or societies) that power intelligent decisioning, personalization, and operational automation across production systems.

* Comfortable working with bioinformatics scientists, genomic data, and domain constraints.

* Product Management experience including roadmapping, prioritization, metrics, user-centric thinking and product delivery.

* Ability to go deep with architects and engineers on system design, infrastructure, and MLOps.

* Familiarity with native app development and shipping to app stores; knows how to collaborate with mobile teams to improve quality and velocity.

* Experience team building, coaching, cross-functional influence, and clear communication with both technical and non-technical stakeholders