Engineer Manager, Platform

ABOUT KNOWTEX

Knowtex is building the future of voice AI operating systems for clinicians, transforming how healthcare documentation happens at the point of care. We are experiencing rapid growth across both commercial health systems and federal healthcare, with our ambient documentation platform scaling to thousands of clinicians across hundreds of specialties.

We are at an inflection point where advances in speech, language models, and clinical AI can fundamentally change how clinicians interact with technology, giving them more time to focus on what matters most: their patients.

POSITION OVERVIEW

We are hiring an Engineering Manager, Platform to lead the team responsible for the backend systems, infrastructure, and shared technical foundations that power Knowtex.

This is a highly hands-on engineering leadership role. We are looking for someone who has successfully managed engineers before but still wants to design systems, write production code, review architecture, debug difficult problems, and directly contribute to critical projects.

The Platform team owns core backend services, cloud infrastructure, reliability, scalability, data systems, and shared engineering capabilities used across Knowtex's products. The team also currently owns several applied ML engineering initiatives and works closely with our growing ML organization.

You will report directly to the Head of Engineering and own both the technical direction and day-to-day execution of the Platform team.

This is not a pure people-management role. You should be comfortable moving between managing engineers, setting technical direction, and personally jumping into the highest-priority engineering problems.

KEY RESPONSIBILITIES

ENGINEERING LEADERSHIP

- Lead, manage, and develop a team of platform and backend engineers

- Own execution and delivery across Platform projects

- Set clear priorities, break down ambiguous projects, and ensure projects move from design through production

- Run effective technical planning, design reviews, and engineering reviews

- Coach senior and junior engineers and help raise the technical bar across the team

- Partner closely with the Head of Engineering on platform strategy, architecture, hiring, and organizational priorities

- Identify execution risks early and take ownership of resolving them

HANDS-ON ENGINEERING

- Design and build production backend and platform systems alongside the team

- Take direct ownership of technically difficult or high-priority projects when needed

- Review architecture, code, infrastructure changes, and technical designs

- Debug complex production and distributed-system issues

- Make pragmatic architectural decisions that balance speed, reliability, scalability, and maintainability

- Establish patterns and technical standards that other engineers can build on

PLATFORM & INFRASTRUCTURE

- Own the reliability, scalability, and performance of Knowtex's backend platform

- Design systems capable of supporting rapidly growing clinical workloads

- Improve observability, monitoring, alerting, and incident response

- Own cloud infrastructure and help improve security, cost efficiency, and operational resilience

- Build shared services and infrastructure that allow product engineers to move faster

- Drive improvements to developer experience, deployment workflows, testing, and engineering productivity

- Identify and eliminate technical bottlenecks before they become scaling problems

AI & DATA INFRASTRUCTURE

- Partner closely with ML engineers and researchers to productionize new AI capabilities

- Build infrastructure for model inference, evaluation, experimentation, and data processing

- Support applied ML initiatives that currently live within the Platform organization

- Help establish scalable technical foundations for Knowtex's growing ML organization

- Design systems that balance AI quality with latency, reliability, scalability, and cost

REQUIRED QUALIFICATIONS

- 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 ac