Sarah Ostermeiere

Sarah Ostermeiere

Technical Product Marketing Manager | AI Engineering Background | GTM Messaging, Competitive Intelligence & Launch Enablement

5 yrs experience · New York, NY · <10 hrs/week

About

AI-technical product marketing professional and ML engineer who builds GTM strategy grounded in deep technical expertise. Built a 0–1 PMM function from messaging and positioning frameworks through competitive intelligence and cross-functional enablement, leading launches and partner co-marketing. Previously delivered ML and Generative AI success through technical communications, enterprise advisory, demos, documentation, and implementation playbooks across developer and enterprise contexts.

Skills

Data ScienceGitGo-to-market StrategyMachine LearningMarket ResearchMarket researchNotionProduct MarketingPythonSQLSalesforceSoftware Development

Experience

  • Technical Product Marketing Manager · Comet05-01-2025

    Product Messaging and Positioning: Developed core messaging, positioning, and persona frameworks for an AI developer platform; recognized by leadership as the foundation of all company go-to-market communications. Competitive Intelligence: Built the competitive intelligence program from 0-1, enabling faster incorporation of market intelligence into GTM strategy and product decisions across the organization. Product Launches: Owned end-to-end go-to-market execution for 5 feature launches on an AI developer platform, with product messaging cited by the sales team as a key differentiator in prospect conversations. GTM Enablement: Produced 30+ enablement assets, including, demos, one-pagers, sales decks, messaging guides, and a launch hub utilized by 2/3 of the company. Partner Marketing: Led co-marketing across partnerships with 5 technology partners, producing assets including videos, technical blogs, white papers, and a webinar; recognized by Amazon senior leadership for generating significant engagement among shared prospects.

  • Machine Learning Success Manager · Snorkel AI01-01-2024 – 01-01-2025

    Technical Communications: Developed and presented comprehensive technical readouts demonstrating product value and implementation success, translating complex ML concepts and metrics into clear business impact narratives for senior stakeholders. Strategic Technical Advisory: Delivered strategic technical guidance to Fortune 500 financial institutions, communicating architectural recommendations and technical requirements across business leaders, technical teams, and internal product stakeholders. Account Growth: Expanded client engagement for a major US banking client, scaling from a single project to 7 successful implementations within 9 months, , demonstrating exceptional value delivery and client trust building.

  • Field Data Scientist · Arthur05-01-2022 – 12-31-2023

    Technical Communications: Developed comprehensive educational content and demos for ML and Generative AI products, creating blog posts and webinars that elevated customer and community understanding of responsible AI principles. Product Demonstration: Crafted and delivered impactful product demos that transformed technical capabilities into compelling, relatable customer success stories. Enterprise AI Content: Created comprehensive technical playbooks and reference architectures for Enterprise ML and LLM Operations, including architectural diagrams, and strategic roadmapping guides that enabled successful AI initiatives across multiple client organizations. Technical Documentation: Accelerated user onboarding by designing developer documentation and interactive user guides to simplify product adoption. Competitor Analysis: Leveraged comprehensive market research and customer insights to identify and strategically prioritize critical product feature gaps. Business Analytics: Created a quantitative system to prioritize feature requests, bridging communication between customers and the product team to optimize the product pipeline.

  • Machine Learning Engineer · Ball Aerospace (Air Force Research Lab)01-01-2021 – 04-30-2022

    Technical Leadership: Spearheaded the development of a Machine Learning system for a high-stakes US Air Force moonshot product, developing innovative experimental approaches to address critical data collection challenges. Solution Documentation: Created a comprehensive implementation playbook detailing solution architecture, completed milestones, and strategic recommendations, enabling seamless client transition to independent project execution.

Education

  • University of Wisconsin, MadisonMaster of Science in Computer Science, Computer Science
  • University of Minnesota, Twin CitiesBachelor of Science in Neuroscience, Neuroscience

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