W

Weave

Generative AI platform for life-science collaboration

Principal Engineer - Applications

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • 15+ years of software engineering experience with progressive technical leadership scope.
  • A track record of leading cross-team technical initiatives that delivered measurable business outcomes.
  • Demonstrated ability to influence without authority, build consensus across organizational boundaries, and translate technical tradeoffs into business terms.
  • Deep expertise in distributed systems architecture, including building and operating services that handle hundreds of millions of transactions and terabytes of data.
  • Proven experience with event streaming and messaging infrastructure such as Kafka, Google Pub/Sub, or similar, at significant scale.
  • Strong background in scalable relational data stores such as PostgreSQL at scale, Vitess, and Spanner, and NoSQL data stores such as Bigtable and Redis.
  • Operational experience with cloud-native infrastructure on GCP or AWS, including Kubernetes, infrastructure-as-code, and highly available system design.
  • A solid backend engineering foundation; Go is preferred, while Python, Java, or C# are acceptable.

Responsibilities

  • Own the multi-year technical vision for Payments, Scheduling, Forms, Business Experience, and RCM application platforms, ensuring architectural decisions support scale, reliability, and competitive advantage.
  • Drive architectural coherence across multiple teams by identifying and resolving cross-system dependencies and platform-level technical debt.
  • Lead technical due diligence for major initiatives, including build-versus-buy decisions, vendor evaluations, and platform migrations.
  • Identify and solve company-level technical problems that span organizational boundaries and are too complex, cross-cutting, or ambiguous for any single team to own.
  • Compile information across systems, teams, and projects to develop comprehensive solutions with extensive validation, rollback, and testing plans.
  • Forecast project costs in time, money, and opportunity cost, accounting for impacts across the business.
  • Monitor the industry landscape, anticipate developments in high-scale customer experience and transactional platforms, and help ensure the company stays ahead.
  • Assess strategic value and advocate for and lead initiatives that prepare the company for emerging challenges.
  • Shape company-wide standards for engineering excellence, observability, and reliability in distributed systems.
  • Mentor Staff and Senior Engineers across the fellowship to develop technical leaders.
  • Elevate architectural thinking across teams through design reviews, documentation standards, and hands-on guidance.
  • Build organizational capability that persists beyond individual contributions.
  • Work across the Applications Fellowship teams and partner with Engineering Managers, Staff Engineers, and cross-functional stakeholders to drive architectural coherence and strategic technical initiatives.

Desired Qualifications

  • Experience in compliance-heavy environments such as healthcare or fintech, navigating regulatory requirements in technical design.
  • Experience shaping AI/ML infrastructure or integrating AI capabilities into production systems.
  • External technical leadership through open-source contributions, conference speaking, or published technical writing.
  • Expertise in data platform architecture, including streaming pipelines, data lakes, warehouses, or distributed analytics.

About the Company

Weave

Generative AI platform for life-science collaboration

Weave.bio builds a collaboration-focused platform for life sciences by combining a generative AI system with a knowledge graph to connect researchers, data, and projects. The platform uses AI to generate insights and a knowledge graph to link datasets, projects, and people, with an incentive system that rewards contributors based on the value they create. It differentiates itself by pairing a collaboration workspace with a value-sharing model and by mapping connections across diverse life-science data sources, addressing traditional data silos. The goal is to speed biomedical research and development by enabling smoother collaboration, faster discovery, and closer-to-market impact for pharma, biotech, and academic science.

Company size
51-200
Company stage
Series A
Total funding
$31.6M
Headquarters
San Francisco, CA
Founded
2023

Recently Posted Jobs

Explore more opportunities at Weave

See more jobs