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What am I going to do?
Full Ownership: Drive infrastructure initiatives through their entire lifecycle, taking accountability from initial design to delivery and long-term operations.
Kubernetes Orchestration: Architect, implement, and maintain production-grade Kubernetes clusters, ensuring they remain scalable and resilient under high-scale demand.
Cloud Architecture: Design and manage robust AWS environments, including VPC, IAM, and EKS, to support a highly available platform architecture.
Infrastructure as Code: Utilize Terraform to build and evolve our environment, applying configuration management principles to all IaC workflows.
CI/CD Excellence: Support and improve our deployment pipelines using Jenkins and GitHub Actions to maintain a fast development velocity.
Observability: Implement comprehensive monitoring solutions with Prometheus and Grafana to ensure deep visibility into platform health.
Operational Resilience: Join the DevOps on-call rotation, taking responsibility for mitigating production issues and maintaining site reliability.
Tooling & Innovation: Continuously evaluate and adopt tools - security and otherwise - that raise the bar on engineering efficiency and security posture at our company.

Required DevOps Team Lead
Position Overview
We are looking for driven, curious people who like to learn whatever necessary to create new features, who want to make an impact and be a part of a high paced development team. Our stack consists of Python, React, Redux, React Native, GCP (GoogleCloud Platform) and more, but what matters most is attitude - if you love creating new features, care about building an excellent product that gives good service to people and you are willing to learn whatever necessary to do so, you belong with us.
Key Responsibilities
This is a hands-on leadership role - you'll split your time roughly 50/50 between people management and technical execution (writing code, owning architecture, being in the weeds).
Hire, manage, and grow a team of DevOps/SRE engineers, focusing on their performance, career development, and day-to-day support.
Lead the technical vision and roadmap for the Internal Developer Platform, working closely with engineering leadership to prioritize and sequence platform investments.
Drive architectural decisions for platform primitives - evaluate trade-offs and build consensus across engineering teams.
Build and maintain an Internal Developer Platform (IDP) -self-service workflows for provisioning, deploying, and operating services.
Mentor and grow platform engineers - pair programming, code reviews, and shaping engineering culture.
Own reliability standards: define SLOs, lead blameless postmortems, and drive systemic improvements.
Manage the Kubernetes (GKE) control plane and cluster-level primitives.
Own infrastructure-as-code standards (Terraform, Helm) and enforce GitOps practices across the org.
Build and maintain the observability platform - structured logging, metrics pipelines, alerting, and SLOs.,
Manage AI data infrastructure: pipelines and embedding stores as infrastructure services.

What am I going to do?
Make an impact: Drive outcomes across the company marketplace for clients and freelancers alike - but expect the specific area you own to shift. Where you focus is set by our strategic Bets, and those change as the Bets change.
Lead a multidisciplinary team: Collaborate with engineers, designers, and data scientists to drive product delivery and innovation.
Turn data into decisions: Define how we collect, validate, and use the signals that power the product - translating data into reliable inputs for better decision-making.
Drive the end-to-end user experience: Continuously improve the surfaces and flows that users rely on, from onboarding to ongoing engagement.
Develop and execute roadmaps: Create strategic product roadmaps and lead their execution, balancing short-term delivery with long-term platform thinking.
Collaborate across teams: Work with stakeholders across the organization to align on a shared direction and amplify impact.
How we actually work: our company's product org runs on strategic Bets - leadership sets a small number of company-wide Bets each half, derived directly from our OKRs, and most of our capacity flows there. Teams get assigned to whatever Bet most needs them next, not necessarily their "home" domain. That means the traditional model - a fixed squad with permanent mission and task ownership - doesn't really apply here. Scope, team composition, and priorities move as the Bets move, sometimes mid-cycle. You're joining a team and a mission-driven org, not a fixed job description, and the right person for this role reads that as the exciting part, not the risky part.

Shape the future of AI-powered clinical experiences.
At our company, were building industry-leading clinical AI that helps healthcare teams improve patient outcomes and optimize clinical operations. Our AI platform delivers the right insights at the right moment, embedded directly into clinical workflows.
Were looking for an exceptional Director of Product Design to lead our Product Design team and help define the next generation of AI-powered clinical experiences.
This is a player-coach leadership role. Youll lead and mentor a team of experienced Product Designers, while staying close to the work yourself. Youll help solve some of our most complex product and UX challenges to create products that clinicians trust, adopt, and love to use. Youll shape our design direction and raise the bar for product quality across our company.
What youll do:
Define and drive our companys Product Design vision, principles, and strategy.
Lead, coach, and develop a team of three senior Product Designers.
Develop a deep understanding of clinical workflows and translate complex real-world challenges into simple, intuitive product experiences.
Stay hands-on with high-impact and complex design challenges, from discovery through execution.
Build a strong research-driven design culture centered on deep customer and workflow understanding.
Shape AI-native experiences that fit naturally into clinicians daily workflows.
Partner closely with Product, Engineering, Clinical, and Executive leadership to influence product strategy and priorities.
Establish and evolve best practices for UX research, usability testing, design systems, and continuous product validation.
Raise the bar for craft, consistency, and product experience across the organization.

This is a role in our companys core AI group, which specializes in developing cutting-edge AI solutions in healthcare, enhancing medical imaging and diagnostics. As a Tech Leader in the AI Algorithm Engineering group, you will play a pivotal role in both managing end-to-end AI research and development efforts and hands-on involvement in key-initiatives. Your responsibility will include design, implementation, guidance and mentoring for team members, and representing the AI considerations in cross-team discussions. You will leverage your extensive experience to lead multiple AI projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
Responsibilities
Lead the design, development, and implementation of accurate and robust AI algorithms for medical data with a hands-on approach.
Collaborate with cross-functional teams, including data scientists, software engineers, product managers and clinical data experts, to ensure AI considerations have a profound impact on R&D and Product decisions across the projects.
Design and conduct research and experimentation to improve algorithm performance and accuracy.
Stay at the forefront of the latest advancements in AI and machine learning, particularly in the medical domain, and drive their adoption within the team.
Oversee multiple projects, ensuring successful execution, timely delivery and alignment with product and business objectives.
Provide strategic direction and technical mentoring to elevate the capabilities of the AI team.