Head of Engineering, Platform

Sully.ai

• $130K — $180K *
US-AnywhereRemote in United States
Enterprise Technology
Less than 5 years of experience
2 months ago
Job Overview by Ladders

Qualifications

  • Experience building and shipping products from the ground up in a pivotal role (founder/co-founder, founding engineer).
  • Proven leadership abilities that enhance team performance beyond just management.
  • Ability to thrive in fast-paced, early-stage startup environments (e.g., Y Combinator, seed-stage).
  • Comfortable operating in ambiguity to transform vague direction into actionable technical plans and deliverables.
  • Skilled at identifying when to optimize and when to prioritize speed in development.
  • Active involvement in coding; this role requires a player-coach mindset.

Responsibilities

  • Drive end-to-end engineering from architecture to delivery and reliability.
  • Achieve significant performance enhancements, targeting over 50% reductions in latency for AI workflows.
  • Implement systems for observability, metrics, and model selection that are scalable.
  • Facilitate engineering rituals like standups and backlog management to ensure team efficiency.
  • Convert product goals into clear, actionable plans and timelines, keeping teams on track.
  • Establish and maintain continuous quality pipelines ensuring output accuracy and reliability.
  • Maintain high engineering standards across coding, reviews, and operational practices.

Benefits

  • Join a mission-driven company aimed at transforming the $800B+ healthcare market.
  • Collaborate with a team comprised mostly of ex-founders.
  • Work in an environment that values speed, autonomy, and ownership.
  • Address unique challenges at the intersection of AI and medicine.
  • Contribute to solutions that help doctors and improve patient care.
Full Job Description
About the Role
  • We're hiring a Head of Engineering, Platform to own and scale the Platform domain with full technical and execution ownership for its surface area.
Key Responsibilities
  • End-to-end engineering execution: architecture 12 roadmap 12 delivery 12 reliability.
  • Step-function performance improvements - targeting 50%+ latency cuts across AI workflows.
  • Observability, metrics, and model-selection systems that hold up at scale.
  • Engineering rituals that keep teams shipping: standups, backlog ownership (Linear), cross-functional coordination.
  • Translating product goals into clear plans, timelines, and unblocked teams.
  • Continuous quality pipelines: accuracy, completeness, reliability of every output.
  • Engineering bar across the stack: code quality, reviews, on-call, operational rigor.
Hard Requirements
  • You've built something from zero and shipped it: founder, founding engineer, or first technical hire at a company that actually mattered to you.
  • You've led people (even a small team) and made them better, not just managed them.
  • You thrive in high-intensity, early-stage environments, YC, seed-stage, zero-to-one - where speed and judgment are the whole game.
  • Ambiguity is your operating system. Incomplete direction 12 clear technical plan 12 shipped product. No heavy process needed.
  • You default to leverage and simplicity: durable solutions, sharp instinct for when to optimize vs. when to ship.
  • You still write code. This is a player-coach role, not a meetings role.
Key Results (First 90 Days)
  • Take full ownership of the Platform engineering domain.
  • Ensure end-to-end observability and alerting for core workflows.
  • Define the domain's key performance, reliability, and quality metrics.
  • Identify and ship at least one high-impact improvement.
  • Establish execution cadence, priorities, and quality standards.

* Ladders Estimates

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