# Tyler Schnoebelen > AI Product Leader | Human-AI Systems, Evaluation & Adoption | NLP / GenAI Location: San Francisco, California, United States Profile: https://flows.cv/tylerschnoebelen Cross-functional product leader with over 10 years of experience in innovative AI/ML products in both B2B and gaming contexts, responsible for tools that generated over $1B in annual revenue. My expertise is in natural language processing, user experience, data science, and social dynamics. I am enthusiastic about how technology can help humans be more human. In 2021, I received the Outstanding Reviewer award from the Association of Computational Linguists—my focus as a reviewer is on ethical AI research and Large Language Models like ChatGPT. I am dedicated to mentorship and facilitating workplaces where people feel like their work and interactions are meaningful. ## Work Experience ### Principal Product Manager @ Tatari Jan 2024 – Present | San Francisco, California, United States ### Principal Product Management Consultant @ Posh Jan 2022 – Present * Roadmapping for PMF: Advised Conversational AI startup leadership to develop a product roadmap, refine strategy and vision, and sharpen product positioning to accelerate market fit (Posh reached 58 clients in 2023 and had a 41% increase in end-user customer satisfaction). LLM innovations in tone and user flow require careful guardrails so they retrieved correct information and didn’t hallucinate outside of company policies or industry regulations. * People-Centered Approach: Mentored 10 product managers and engineers on topics like career growth and OKR alignment. Facilitated postmortems and process innovations for more empowered people and more effective teams. ### Applied AI Product Development Consultant @ Thought Pennies Jan 2022 – Present * Technical Expertise in GenAI/NLP: Developed advanced text-based AI/ML solutions (transformers and RNNs) for AAA video game studio to enhance game immersion through interlocking quests and purposeful NPC dialogue generation. The output had to be compatible with IP and lore that spanned over 100 books. Writers estimate the systems saved them hundreds of hours and “preserved [our] sanity”. * Optimized Studio Operations with AI: Evaluated and implemented ethical audio AI solutions for voice talent (voice cloning and style transfer) to minimize studio rescheduling headaches and reduce costs by ~$250K annually. Researched, designed and implemented visual and video AI techniques to streamline asset creation and animation, including 2D-to-3D art conversion, Motion Capture data cleanup, procedural generation in Houdini for emotional impact, and automated cameras for dramatic cutscenes. * User-centered Design: Harnessed my background in social interaction to design six gameplay features around community experience; focus on enhancing player engagement and retention while minimizing risks of toxic interactions between players. * Data-Driven Strategy: Established a robust AI/ML evaluation framework and R&D prioritization scheme, identifying key areas of interest and potential applications, such as scenario generation, cheat detection, and player matchmaking. ### Co-Founder, Managing Partner @ Reverie Ventures Jan 2023 – Jan 2025 | San Francisco, California, United States Strategic Vision & Product Development: We founded Reverie to steer GenAI applications to make work and workplaces better—towards human values like creativity, effectiveness, deliberation, reflection, and communication. * Hands-on Building: Designed and prototyped GenAI tools for 5 different ventures, including a due diligence engine that helped users make decisions 4.7 times faster for deals representing >$85M in total capital (legaltech, fintech, security). We also built a “problem harvester” and market analysis tool to prioritize new market opportunities for product development. * Good Ol’ Product Management: Spearheaded user-centric design and Agile workflows; guiding junior engineers from data extraction accuracy of 48% all the way to 92% within two weeks so that thousands of investor reports could be transformed into knowledge bases for rapid LLM-driven insights. Guided founders with great technical aptitude towards customer-centered design by teaching them heuristics and customer interview techniques. ### Interim VP of Product @ Mistplay Jan 2021 – Jan 2022 * Top-line Revenue Infrastructure: Developed a LiveOps monetization framework and tactical proposal, focusing on player-centricity and creating a system for targeted, data-driven user engagement. Led team to evaluate specific vendors that would best accelerate responsive and context-based ads/offers—still in production, still providing value (~100% top-line growth YOY in 2022). * Data-Driven User Understanding: Performed data analysis across 16m users to find user segments and create personas, applying these insights to optimize ad targeting, monetization strategies, and product improvements for enhanced user acquisition, retention, and engagement. * Executive Leadership & Vision: Responsible for devising and executing product strategy, advising the executive team, and elevating the company's mobile game loyalty offerings to be player-centric and game publisher-centric. Worked closely mentoring the product and data teams to help support their strengths and bolster their effectiveness as the engineering team tripled in size. ### NLP Game Analytics & User Experience Design Consultant @ Wildlife Studios Jan 2020 – Jan 2021 * Technical Expertise in Data Analysis: Performed statistical modeling of game behavior—for example, among 3.4m players, identified segments that could be saved from churning in the first day (50% increase of retention). * Conversation Analysis for Community Health: NLP analysis of clans/team chat data revealed improvements to the team recommender to triple retention for a key user segment. Game features include player onboarding/mentorship, better social search, more engaging help/gifting, and redesigned emotes. ### VP, Special Projects (Machine Learning + Product) @ integrate.ai Jan 2017 – Jan 2020 * AI/ML Product Management and Innovation: Spearheaded development of company's core technology—machine learning algorithms to share privacy-preserving signals across industries. Clients and data came from insurance, banking, television/media, air travel, and telecommunications and end-customer conversions were improved 10-20% depending on context. I conducted customer interviews partly as an anthropologist, sitting with users and watching how they worked without our product to see frustrations and opportunities. * Cross-functional Leadership: Managed product, UX, and machine learning science teams working on contextual bandits (reinforcement learning) and duration analysis (churn detection). I also had mentees from sales, marketing, engineering, and client success teams and worked closely with all departments. * Responsible AI: Because ethical AI and trustworthiness are crucial, I also managed 3rd party assessments of our technology to make sure we could protect against re-identification as well as speaking at various conferences on ethics and privacy in the context of artificial intelligence. ### Principal Product Manager @ MZ Jan 2016 – Jan 2017 | Palo Alto, California * Monetization and Revenue Optimization: Built and managed the product team that created a new tool for Sales/LiveOps to hit revenue targets while keeping players engaged and the in-game economy healthy. In-game sales through our system generated over $1B per year. * AI Product Management: Besides monetization, other products included a reinforcement learning system for new player tutorials (increased retention + experimentation platform) as well as a machine-learning approach to kingdom creation/management across MZ's games (Mobile Strike, Game of War, Final Fantasy). * Technical Expertise in NLP: Because of my experience in Natural Language Processing and digital anthropology, I also delivered analyses of (pseudonymized) in-game chat conversations to understand player needs and key drivers of churn/loyalty that showed precursors to churn models based on numerical factors like logins and game activity. ### Founder, Head of Product and Data Science @ Idibon Jan 2012 – Jan 2016 | San Francisco, CA * NLP Innovation & Product Development: We transformed the esoterica of artificial intelligence into services that helped businesses accomplish key goals like turning important unstructured textual data into databases with elaborate taxonomies of hundreds or even thousands of categories with accuracies of 90-95%. Our diverse clients were in financial services, automotive, gaming, consumer electronics, and supply chain logistics and we served them across 50 languages. * Technical Expertise in Human-in-the-Loop ML: Our platform made and evaluated predictions using client experts (a scarce resource) and crowdsource workers, with cutting-edge inter- and intra-annotator measurements to make sure the annotations and categories were reliable. My patents include integrating human feedback to refine machine learning output and for creating topic taxonomies for understanding the structure of complex datasets. * Cross-Functional Leadership: I ran the product, data science, and marketing teams (~12 people) and worked closely with clients throughout their lifecycle. Our insights were featured in The New York Times, The Guardian, Time, The Atlantic, Wired, Science Friday, and Morning Edition across a variety of topics, though all having to do with human communication (e.g., social media, toxicity, code-switching, language diversity). There is a minor character in The Emoji Movie that was named for me 🙃. ### Senior User Experience Lead @ Microsoft Jan 2004 – Jan 2011 | Mountain View, CA * User-Centered Design and Research: Led numerous innovation/incubation projects for web services (e.g., email, location awareness, personal productivity, calendars, instant messaging, online shopping, photo/video viewing). Patents include adaptable web toolbars and various ways to make email management easier for people. * Data-Driven Decision Making: Designed and tested a wide range of user-facing features, supporting UX design decisions with competitive analyses, customer feedback analyses, and usability findings. ## Education ### Doctor of Philosophy - PhD in Linguistics Stanford University ### Bachelor of Arts - BA in English Yale University ## Contact & Social - LinkedIn: https://linkedin.com/in/tylerschnoebelen - Website: http://corplinguistics.wordpress.com --- Source: https://flows.cv/tylerschnoebelen JSON Resume: https://flows.cv/tylerschnoebelen/resume.json Last updated: 2026-04-08