iFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their own individual fitness journey.
iFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their individual fitness journey.
We are currently seeking an ambitious pace-setter to join our team as a Tech Lead/Sr. Manager of Platform Engineering. You’ll be responsible for owning Cloud Ops & Infrastructure, Platform self-service and tooling, and drive AI innovation with technical direction and rapid prototyping. You’ll play a key role in designing, scaling, and operating the core platform infrastructure that powers the iFIT experience across our user base.
ROLE COMMITMENTS
- Own and drive technical roadmap across platform engineering, ensuring work is sequenced and aligned to leadership priorities
- Make the platform AI-native, investing heavily in modern AI-powered dev workflows
- Own cloud infrastructure at production scale. Write and maintain Terraform across our AWS footprint. Own the CI/CD template layer inherited by all service teams.
- Own IAM at scale - Maintain and extend roles, policies, and permission boundaries across hundreds of services. Automate enforcement, not just review.
- Eliminate toil through automation and self-service - Build the modules and tooling that allow teams to stand up services, manage deployments, and resolve issues without routing through a platform engineer.
- Set and uphold expectations for delivery, reliability, and team accountability
- Maintain platform health and delivery outcomes, including ownership of incident response and on-call management
- Ensure platform systems are reliable, scalable, and meeting business needs
ESSENTIAL DUTIES AND RESPONSIBILITIES
Strategy Execution & Planning
- Own platform roadmap and execution plans
- Lead planning cycles and ensure alignment across teams
- Balance new initiatives with operational stability and ongoing work
Organizational Leadership
- Own hiring, performance management, and team development
- Ensure clear ownership and accountability across platform domains
Execution & Delivery
- Track delivery against roadmap commitments
- Resolve blockers and manage cross-team dependencies
- Ensure consistent execution across teams
Cross-Functional Alignment
- Partner with AI, Product, Security, IT, and Finance stakeholders
- Communicate priorities, trade-offs, and progress clearly
Operational Oversight
- Ensure uptime, reliability, and incident management standards are met
- Drive consistency in operational practices across teams
- Own incident response and escalation when needed
Financial & Vendor Oversight
- Partner with Finance on cost visibility and budgeting
- Oversee vendor relationships and platform-related spend
EDUCATION and/or EXPERIENCE
Education and Basic Qualifications
- 5-7 years of experience in platform engineering, including DevOps, Infrastructure, Dev Tools etc in production environments
- Expertise with cloud infrastructure (AWS EKS, GCP GKE, or Azure AKS) and associated networking, storage, and IAM primitives
- Proficiency in at least one systems or backend language for operator development and infrastructure tooling
- Hands-on experience with infrastructure-as-code tools (Terraform) and Git workflows
- Ability to operate autonomously, make sound technical judgments, and drive projects from concept through production.
- (bonus) 2+ years experience managing teams
- Demonstrated experience on platform or infrastructure engineering teams at scale, including ownership of reliability, scalability, and delivery outcomes
- Ability to work effectively across cross-functional teams across Product and Engineering
- Experience developing and automating workflows with Claude Code, Codex etc
Preferred Qualifications
- Experience with cloud infrastructure platforms (AWS, GCP, or Azure), including cost management and vendor oversight.
- Familiarity with AI/ML platform engineering concepts and working closely with applied AI or data science teams.
- Background in data engineering or pipeline infrastructure at scale.
- Experience with mobile or IoT-connected platform ecosystems, particularly in consumer hardware or fitness/health tech environments.
- Working knowledge of security and compliance requirements within a platform context (e.g., SOC 2, GDPR, HIPAA, or similar).
- Experience in Agile or SAFe frameworks, including PI planning facilitation.
- Strong written and verbal communication skills, with the ability to translate technical trade-offs for executive and non-technical audiences.
- Demonstrated ability to build and maintain high-performing, accountable engineering organizations through hiring, development, and performance management.
List of states we can hire in: AK, AL, AR, AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, KY, LA, MA, MD, MI, MN, MO, MS, NC, NH, NJ, NV, NY, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VA, WA, WI, WY.
DISCLAIMER
Your employment at iFIT is "at-will". You and the company each have the right to terminate the employment relationship at any time for any cause or for no cause at all. Nothing but an express written contract signed by you and a Vice President of this Company can modify this "employment at will" arrangement.
"We do not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, ancestry, mental or physical disability, sexual orientation, gender identity, medical condition, genetic information, marital status, veteran status or any other characteristic protected by law."
iFIT does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, ancestry, mental or physical disability, sexual orientation, gender identity, medical condition, genetic information, marital status, veteran status or any other characteristic protected by law.
