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Knowtex is building voice AI operating systems for clinicians, transforming healthcare documentation at the point of care. The company is experiencing rapid growth across commercial health systems and federal healthcare, scaling its ambient documentation platform to thousands of clinicians across hundreds of specialties.
You will lead the Platform team as Engineering Manager, reporting directly to the Head of Engineering. This is a highly hands-on role combining people management with direct technical contribution. The Platform team owns core backend services, cloud infrastructure, reliability, scalability, data systems, and shared engineering capabilities. The team also manages applied ML engineering initiatives and works closely with the growing ML organization.
Key responsibilities include leading and developing a team of platform and backend engineers; owning execution and delivery of Platform projects; setting priorities and breaking down ambiguous work; running technical planning and design reviews; coaching engineers and raising technical standards; and partnering with the Head of Engineering on strategy and hiring.
You will design and build production backend systems alongside the team, take direct ownership of technically difficult or high-priority projects, review architecture and code, debug complex distributed-system issues, and establish technical patterns and standards. You own the reliability, scalability, and performance of Knowtex's backend platform, designing systems for rapidly growing clinical workloads, improving observability and monitoring, owning cloud infrastructure, and building shared services that enable product engineers to move faster.
You will partner closely with ML engineers to productionize AI capabilities, build infrastructure for model inference and experimentation, support applied ML initiatives, and design systems balancing AI quality with latency, reliability, scalability, and cost.
The work model is hybrid: Monday, Tuesday, Wednesday in-office in San Francisco.
REQUIREMENTS:
- 7+ years of professional software engineering experience
- Previous experience directly managing a software engineering team
- Strong hands-on backend engineering experience and willingness to continue writing production code
- Deep experience designing and operating distributed backend systems
- Strong system design and software architecture skills
- Experience building production systems on AWS or another major cloud platform
- Experience owning production systems with meaningful scale, reliability, and availability requirements
- Strong understanding of databases, APIs, asynchronous systems, queues, caching, and distributed architectures
- Experience with infrastructure, observability, deployment systems, and production operations
- Demonstrated ability to lead complex technical projects from ambiguity through production
- Ability to effectively manage both senior and junior engineers
- Strong communication skills and ability to work across engineering, product, ML, and business teams
PREFERRED QUALIFICATIONS:
- Experience managing a Platform, Infrastructure, Backend, or Developer Infrastructure team
- Staff-level or equivalent technical experience prior to or alongside engineering management
- Experience with Python and modern backend frameworks
- Experience with AWS services (Lambda, ECS/EKS, SQS, RDS, DynamoDB, S3, CloudWatch)
- Experience operating event-driven or asynchronous distributed systems
- Experience building systems with strict latency and reliability requirements
- Experience with containers, infrastructure-as-code, and modern CI/CD systems
- Experience building data infrastructure or large-scale processing pipelines
- Experience supporting ML systems, model inference, LLM applications, or AI infrastructure
- Experience in healthcare technology or regulated environments
- Experience with HIPAA-compliant systems and healthcare data
- Experience in fast-moving startup environments where engineering leaders remain deeply involved in execution
