• Hired to create human feedback driven AI curation and HITL platform product org, strategy, and roadmap • Created HITL AI monetization and safety applications for Twitter products: Trends, Events, Notifications, and Topics • Designed knowledge graph impact and forecasting system to predict ad campaign ROI for a set of keywords • End-to-end ownership of curation AI platform and consumer experience from curated UI to tooling platforms • Responsible for training and managing a team of Curation PMs & TPMs across consumer, platform, and monetization. Skills: Monetization · Artificial Intelligence (AI) · People Management · Platform as a Service (PAAS)

• Owned the Rider/Driver cancels business P&L ($XXX M), policy and customer flow. My goal was to increase marketplace profitability by rewarding loyalty and reduce cancellations through: Machine Learning(AI/ML) driven user experience, personalization systems, and dynamic poor experience mitigation. • Shipped AI/ML driven product interventions to address regulatory constraints in Seattle, set cancellation fees, reduce customer support (contact center) interventions via conversational AI, allow Covid health cancels, and prevent crime • Developed algorithmic policies to mitigate cancel impact on two sided rider/driver marketplace to deliver P&L outcomes Skills: Monetization · Consumer Products · Artificial Intelligence (AI) · Machine Learning

Platforms and Services • Launched personalization (ML) driven consumer integrations with: Amazon, Blizzard, Microsoft, NFL, Sony, and Snap • Built roadmap and strategy for data products including monetization and privacy (GDPR/CCPA) frameworks • Shipped new Video on Demand (VoD), Channel Points, and Subscription API products for 3P developers • Established API business KPIs and analyzed platform success (SQL) in order to boost monetization (ads) 30% Developer Experience • Created 3P Enterprise (Helix) unified integration platform (Rest API/SDK) and versioning/rate limiting strategy • Developed new Restful Swagger enabled developer documentation and portal via Slate • Communicated roadmap and API value proposition via dev live streams, blog posts, and dev day presentations • Designed anti-abuse, privacy, and data display policy for use of the 1P GraphQL API Skills: Monetization · API · Enterprise Product Development · Machine Learning

Worked on an AI powered string intelligence platform managing and extracting strings embedded in code for enabling: natural language processing powered marketing, automated localization, and workflow automation

• Owned international product partnerships from initial discussion through launch and beyond for: Amazon (IoT), Apple (TV), Google (Plus), Microsoft (Machine Learning), and Samsung (Smartphones) • Led negotiations on over 500 technical contracts worth $X M and performed at 165% of revenue goals with 10% annual increases on the deliverable metrics of: revenue growth, deal stage flow, and unit cost per patent (ROI) • Guided executive stakeholders on product and strategic technical goals in the areas of: APIs, Mobile, SaaS, and Web • Program managed cross-functional partner team of six in agreement negotiations including: attorneys, engineers, marketing, client product managers and designers, and public policy experts • Created technical content for emerging technologies focused on: case studies, demos, trainings, and webinars

• Launched productivity tool into new market of consumer Slack apps, and hired team of three developers for: “TrendFeeds”- Newsfeed on Slack for companies with 150+ employees transacting 30K+ messages per month • Increased TrendFeeds engagement KPI by 30% via user surveys, in person interviews of user teams, and sentiment analysis metrics (SQL, Python) on conversations of the most engaged teams on Slack • Led three usability studies with over 50 people and performed data analysis on SlackHQ's social media feed for a year to achieve product-market fit for: feature requests, product complaints, influential Slack users, and product themes • Integrated with 3rd party partner APIs including: Aylien, Dropbox, Github, Jira, and Mixpanel • Established user pricing via financial analysis of public SaaS company annual reports vis-a-vis Slack’s premium payment tiers for: enterprise, educational institutions, government, non-profits, and SMEs • Created PRD and validated user flows, wireframes, specification, prioritization, prototypes, A/B testing plans, user stories and release checklists for features including: summarizing channels, integrations, notifications, and trending topics • Developed original product in Python, and launch roadmap via funnel analytics on adoption trends of popular SlackApps