Engineering Manager, AI Platform

Sequencing

5d • Remote

About The Position

Sequencing is building the interface between humanity and its DNA. Using clinical-grade whole genome sequencing, AI, and a rapidly expanding ecosystem of genomic applications, we help people better understand themselves, their health, and their future through their DNA. The human genome is one of the most valuable and underutilized resources in the world. Our mission is to transform the human genome into a lifelong source of personalized guidance and build the trusted home for every genome on Earth. As the world’s largest direct-to-consumer whole genome sequencing platform, Sequencing is helping define the future of AI-powered personalized health. We’re a profitable, venture-backed, fully remote company building category-defining products that help people better understand themselves through their DNA.

As Engineering Manager, AI Platform, you will lead the engineering team building the connected intelligence system behind Sequencing’s current and future AI-powered products. Reporting to the Senior Director, AI & Emerging Technologies, you will turn clear product direction into focused engineering execution across data, retrieval, memory, integrations, agent orchestration, evaluation, observability, and reliability. This is a technically engaged engineering leadership role. You will manage and develop engineers, help the team break ambiguous problems into shippable increments, and act as a credible technical partner without becoming a bottleneck or displacing engineering ownership. You should be comfortable moving quickly through prototype and MVP stages while building the guardrails required for a high-consequence health product.

Requirements

• 8+ years of software engineering experience, including 3+ years managing or leading high-performing engineering teams.
• At least 2 years of experience building production LLM, generative-AI, or agentic products.
• Designed or shipped systems involving tool use, orchestration, memory, retrieval, prompts or skills, evaluation loops, and human review.
• Technically credible across distributed systems, data pipelines, APIs, cloud infrastructure, and production reliability.
• Can engage deeply on system design and failure modes while empowering senior engineers to own architecture and implementation.
• Built strong engineering cultures grounded in ownership, growth mindset, direct feedback, and continuous improvement.
• Comfortable operating in the POC and MVP phase, learning through prototypes, and evolving systems toward production scale.
• Knows how to balance speed with guardrails, particularly when system outputs affect health decisions or other high-consequence outcomes.
• Communicates clearly across Engineering, Product, Bioinformatics, Design, and Customer Success.
• Based in the United States and comfortable operating autonomously in a fast-moving, fully remote environment.

Nice To Haves

• Healthcare, genomics, or another regulated and high-consequence domain.
• Consumer conversational products or longitudinal personalization.
• Evaluation infrastructure, prompt management, agent observability, or human-in-the-loop systems.
• Data platforms, developer platforms, or internal tooling.
• Leading remote teams across multiple disciplines and time zones.

Responsibilities

• Lead, coach, and develop the engineers responsible for Sequencing’s AI platform, creating clear ownership, tight feedback loops, and a high bar for technical quality.
• Translate approved product intent into sequenced engineering plans with clear owners, dependencies, risks, test criteria, and completion gates.
• Guide delivery across retrieval, memory, integrations, prompts and skills, agent orchestration, evaluation, observability, and supporting data systems.
• Partner with engineers and architecture owners on system design, technical tradeoffs, and boundaries between deterministic and probabilistic components.
• Build a rapid prototype-to-production loop that allows the team to learn quickly without compromising scientific accuracy, privacy, reliability, or maintainability.
• Establish evaluation as a release gate using deterministic validation, golden sets, LLM-as-judge methods, human annotation, scientific review, and clearly defined failure behavior.
• Improve prompt and configuration management, trace quality, latency, cost visibility, failure classification, and production observability.
• Create guardrails that enable engineers to move with autonomy, use AI-native development tools effectively, and take end-to-end ownership of their work.
• Partner closely with Product, Bioinformatics, Design, Customer Success, and other engineering teams to turn reusable platform capabilities into polished member and partner experiences.
• Help the platform mature from an early agentic system into reliable infrastructure that can support multiple products and surfaces across Sequencing.

Benefits

• Comprehensive medical, dental, and vision insurance coverage
• 401(k) with company matching
• Paid time off
• Paid volunteer time off
• Fully remote work with home office stipend
• Parental bonding leave
• Clinical-grade whole genome sequencing for you and your family, private and confidential

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed