Define and own the strategic standard for what it means to be a Product Success Manager at Teamworks today - including the competencies, career path, and performance bar for the function.
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Define and own the strategic standard for what it means to be a Product Success Manager at Teamworks today - including the competencies, career path, and performance bar for the function.
Own the product strategy and roadmap across coaching, scouting and recruiting products, across Football and Hockey. You’ll be responsible for driving coherence across a portfolio built through both organic development and acquisition.
Teamworks · 1mo ago
Own the full sales cycle for General Manager and Influencer, from sourcing leads to executing agreements. Run product demos independently and tell a compelling story tailored to different stakeholders, from athletic directors to CFOs.
Lead the rollout and expansion of AI agents across Teamworks' product portfolio, partnering with product teams to move from beta to general availability and scale adoption across sports and global markets.
Find and address performance bottlenecks across APIs, database queries, calculations, and background jobs, with a focus on improving latency, throughput, and resource use. Improve the data-access layer and gradually evolve a legacy data model that relies heavily on XML and JSON.
Own market, competitive, and customer insights for our Coaching and Player Personnel product categories across professional, collegiate, and international sports organizations.
Own the AMS frontend end to end, building and shipping React and TypeScript features from design through production. Build complex, data-intensive components including interactive grids, forms, dashboards, and widgets that handle large datasets efficiently using AG Grid.
Own the end-to-end product development lifecycle for Player ID, from product strategy and prioritization through delivery, adoption, and iteration, with soccer as your core market.
Map end-to-end marketing attribution and build the tracking that shows how demand gen and product marketing campaigns influence pipeline and revenue.
3+ years of professional or research experience developing statistical or machine learning models in Python or R, with examples of work you personally owned from problem formulation and data preparation through validation and use.