Teamworks

• Own AI products like "Ask Teamworks" (AI-copilot) and our ecosystem of workflow-embedded AI native agents end to end, unifying the UX across our all-encompassing product suite, taking it from beta to a mature, ecosystem-wide surface • Own the platform and foundational AI work — the shared infrastructure and standards other product teams build their own AI-native features on top of • Push AI roadmap beyond the co-pilot experience into deep, agentic workflows that surface recommendations and take action across the ecosystem • Define the standards for how Teamworks ships AI product, from evaluation methodology to grounding and citation behavior, and help other PMs adopt them • Own the metrics that prove it's working, including query success rate, time-to-answer, daily active usage, and NPS, and turn what you learn into the next quarter's roadmap

• Own US and global benefits administration end to end • Serve as the primary point of contact for employee benefits questions • Manage leave for US and global employees • Lead the annual open enrollment process • Partner with Finance and payroll to scale proper use of our HRIS

• Become deeply knowledgeable about the Teamworks product suite • Own a queue of support tickets across AMS, Nutrition, and Strength & Conditioning, triaging and resolving issues based on severity and business impact. • Gain an understanding of our customers' challenges and needs in order to troubleshoot and solve complex problems in a prompt and friendly manner. • Fulfill technical requests including workflow configuration, dashboard and visualization building, third-party integration setup, data uploads, template creation, workflow customization, and general troubleshooting. • Communicate clearly and responsively with customers, owning all correspondence from initial contact through resolution. • Handle sensitive information, including athlete health data, and enforce data security measures to protect all information. • Coordinate with internal stakeholders across Product and Engineering to surface bugs and customer feedback, providing thorough documentation when escalating, and ensuring products are improving and customer needs are being met. • Contribute to internal process improvements that keep team KPIs healthy as the business scales. • Participate in a rotating schedule for weekend coverage during high-stakes customer projects.

• Own the planning and execution of multi-channel demand generation campaigns across EMEA • Generate pipeline opportunities for the Sales team through compelling content • Lead the organisation and delivery of owned and third-party events • Support the go-to-market team in expanding into new markets • Create detailed marketing briefs and manage campaign execution

Role Description I'm looking for a Platform Engineer II to support day-to-day operations of our AWS GovCloud infrastructure and help us drive meaningful improvements to observability and stability as we grow. This is a collaborative, hands-on role. - Own day-to-day operations and maintenance of our AWS GovCloud environment, including EKS cluster management, EC2, RDS/Aurora, ElastiCache, S3, and IAM. - Manage deployments of new features and fixes across commercial and GovCloud environments, coordinating with application teams through structured intake and ad hoc request processes. - Build and maintain reusable Terraform modules, Helm charts, and CI/CD pipeline templates (GitLab CI) that enforce organizational standards for scalability, compliance, and observability. - Diagnose cross-cutting infrastructure issues — networking misconfigurations, IAM permission boundaries, Kubernetes scheduling failures — evaluating blast radius and downstream impact before proposing solutions. - Partner with application teams to translate platform changes and new standards into clear, actionable guidance that reduces friction across the organization. - Drive improvements to environment observability and stability using Datadog, and participate in on-call rotation with full production ownership. Qualifications - 3+ years of experience in platform, infrastructure, or DevOps engineering. - Strong proficiency in Linux administration in production environments, including RHEL-based system management. - Proven hands-on experience with Kubernetes (EKS preferred), Terraform, and CI/CD pipelines using GitLab CI or comparable tooling. - Experience deploying and managing infrastructure in AWS. - Strong cross-functional communication skills, with the ability to translate platform changes into clear guidance for application teams. Requirements - Experience working in AWS GovCloud, FedRAMP, or IL4-regulated environments (even better). - Background in defense contracting or government environments (even better). - Experience with configuration management and automation tooling (Ansible, AWX, and Packer) (even better). - Familiarity with Python or shell scripting for operational tooling, or experience with Datadog or a comparable observability platform (even better). Benefits This role is not eligible for sponsorship at this time. Company Description We're the Operating System for Sports™, powering 6,500+ organizations worldwide, from collegiate programs to every major pro league. Founded in 2006, we've evolved from a messaging tool for college football into the leading sports tech platform, with 500+ global teammates building the future of sports tech. - Our solutions span Personnel, Coaching, Performance, Operations, and Intelligence. - Helping teams recruit smarter, train better, stay compliant, and win. Teamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email talent@teamworks.com .

• Define the technical architecture and platform standards for our lakehouse on AWS: distributed cloud architecture, schema conventions, multi-tenant isolation, and integration design • Lead design and delivery of the production pipelines that consolidate performance and product data, and own data modeling for complex entities (time-series, hierarchical, multi-source) so the models serve products, analytics, and ML • Introduce just enough data governance, ownership, and stewardship to raise our data maturity, and lay the catalog and semantic-layer foundation that analytics, ML, and AI agents can reason over • Author and maintain the Data Platform playbook (reusable patterns, ADRs, runbooks, Terraform modules) with data quality and reliability built in, so product teams can self-serve new datasets and integrations • Lead delivery end to end, from requirements and planning through coordinating workstreams and translating status to senior leadership and non-technical partners • Mentor engineers across levels, raise the bar through design review and on-call ownership, and be the engineering voice shaping the platform roadmap

• Own the development and deployment of advanced CV models — object detection, multi-object tracking, camera calibration, and semantic segmentation — for player tracking across multiple sports • Build and scale high-performance pipelines for video and image data ingestion, processing, and analysis that hold up under the demands of professional and collegiate programs • Contribute across the full CV/ML lifecycle, from data gathering, model development and training through production deployment, monitoring, and iterative refinement • Drive R&D initiatives including 3D body pose tracking, real-time analysis systems, and integration with LLM/NLP research — with real latitude to explore within the scope of each project • Collaborate closely with Software Engineering, Product, and Data Ops to ensure your work is understood, integrated, and used correctly downstream

• Build and maintain production data pipelines that move performance and product data into the lakehouse with documented schemas, tests, and observability • Contribute to platform code and Terraform-based infrastructure under the guidance of senior engineers, applying standard patterns and best practices • Partner with product engineering and domain SMEs to design schema conventions and integrate new data sources cleanly • Take ownership of components you build, including rotating on-call coverage, responding within SLOs, and contributing runbooks and post-incident learnings • Anticipate where pipelines can break, build in graceful failure handling, and raise reliability for the components you own

• Own the design, implementation, and operation of production data pipelines that consolidate performance data and product telemetry into our lakehouse • Lead architecture and infrastructure decisions for our lakehouse platform on AWS, including IaC in Terraform, schema design, and multi-tenant isolation patterns • Drive data modeling for complex entities like time-series performance data, hierarchical org structures, and multi-source athlete profiles • Build and document the reusable patterns, runbooks, and Terraform modules that let other product teams self-serve new datasets and integrations • Raise the bar on platform reliability through observability, on-call rotation ownership, and post-incident learning that reduces toil and cost over time • Partner with product and engineering teams to evaluate and evolve the platform's technology stack as the business scales into new environments • Participate in our on-call rotation

• Own feature delivery across Compliance, Recruiting, and Camps, breaking complex work into small, shippable increments and seeing them through from design to production • Design and build internal APIs and data access layers for performant, reliable cross-product data consumption, including the API versioning and service layer work needed to decompose the monolith into a Citadel-style architecture • Diagnose and resolve critical performance issues in the data import pipeline through measurement, testing, and targeted fixes • Provide mentorship and technical direction to junior engineers as a natural part of how you work, not as a side responsibility • Drive code quality through MR reviews, testing practices, and AI-assisted development methods • Participate in on-call rotation and incident response