Own full-stack features end-to-end, from technical design and implementation to deployment and production monitoring. Collaborate with product and design teams to build scalable software for athlete health and performance management.
Teamworks
10 Remote Job Openings at Teamworks
Define the technical architecture and platform standards for a modern AWS lakehouse to support cross-product analytics, ML, and AI. Lead the design and delivery of production pipelines while mentoring engineers and establishing data governance standards.
Develop and deploy advanced computer vision models for player tracking and performance analytics across multiple sports. Build high-performance data pipelines and drive R&D initiatives including 3D pose tracking and LLM integration.
Build and maintain production data pipelines to move performance and product data into a lakehouse with documented schemas and observability. Collaborate with product engineering to design schema conventions and manage infrastructure using Terraform.
Lead the delivery of features for Compliance, Recruiting, and Camps while decomposing a monolithic codebase into a service-oriented architecture. Design internal APIs and data access layers while providing technical mentorship to junior engineers.
(Senior) Product Success Manager, Performance (Pro & Enterprise)
Teamworks
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Full Time
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a month ago
Teamworks
Manage a portfolio of professional and enterprise sports accounts, overseeing implementation and adoption of performance products. Act as the voice of the customer to inform the product roadmap while ensuring clients derive actionable insights from their data.
Design, build, and ship production-grade GenAI features and reusable platform components for the Hub product. Own the end-to-end lifecycle of AI features from system design and LLM integration to deployment and monitoring.
The role involves building and transforming proprietary tracking and pose data into actionable metrics and models for elite sports organizations. You will develop event-probability and athleticism models while supporting client-facing work to answer specific analytical questions.
The Controller will own the end-to-end monthly close process and lead all accounting workstreams related to M&A activity. Additionally, they will manage multi-entity consolidations, strengthen internal controls, and develop the accounting team to support company growth.
The Product Scientist will manage the client lifecycle for MLB and NCAA partners while building platform observability and driving trial conversions. They will also validate model outputs and translate technical updates into actionable insights for both technical and non-technical stakeholders.
