# Tiffany Jaya > Principal Product Designer | Ex-Engineer & Data Scientist | AI Platforms & ML Tooling | Salesforce Einstein Alum Location: San Francisco Bay Area, United States Profile: https://flows.cv/tiffanyjaya I design. I code. I build ML models. I lead teams. Not many people have worked across the full stack. That perspective shapes everything I make. I came to design the long way. Security engineer. Cloud computing. Data science. Each step pulled me toward the same thing: making complex information make sense to the people who need it. By the time I was at UC Berkeley building a prototype for a startup, I realized product design was the thread running through everything I'd done. Now I design AI products. At Faros AI, I design the engineering intelligence platform used by Fortune 500 companies. At Salesforce, I unified the design system across 6 Einstein products and hold a patent for AI interaction patterns. I'm drawn to hard problems: How do you make ML interpretable? How do you design for systems that learn? How do you build trust in AI that acts autonomously? I'm looking for teams building AI products that actually matter, where design isn't decoration. It's strategy. Portfolio: https://tiffanyjaya.com P.S. If you want proof I actually build models, the receipts are here: github.com/tiffanyjaya ## Work Experience ### Founding Principal Product Designer @ Faros AI Jan 2022 – Present Building the engineering intelligence platform used by Fortune 500 companies to measure developer productivity, track AI coding assistant adoption, and optimize software delivery. - Designed role-based adaptive navigation for 10K+ users, directly securing 8-figure enterprise contracts with Fortune 500 clients. - Designed AI analytics platform enabling managers to query data conversationally, receive automated insights, and distribute findings via Slack, while developers track performance metrics directly in IDE. - Designed AI agent to auto-generate context, ping developers for missing information, and autonomously update documentation with MCP server integrations and modular Skills system per repo. - Designed reusable charting system with pre-cached insights, solving performance issues across 25+ enterprise tenants while enabling AI and ROI visualizations. - Expanded a Fortune 500 account from 400 to 7,500 seats (3x ARR) by reducing load times 66% and solving org visibility with hierarchical navigation. - Saved 6-figure at-risk accounts by redesigning data ingestion flow with clear error states and actionable recovery steps. ### Senior Product Designer @ Salesforce Jan 2022 – Jan 2022 ### Product Designer @ Salesforce Jan 2020 – Jan 2022 | San Francisco, CA Designed ML products across the Einstein platform, delivering over 1 trillion predictions per week, spanning document processing, lead scoring, propensity modeling, and data science tooling for both business users and developers. - Created unified ML design system across 6 Einstein products enabling non-technical business users to deploy models without data science expertise, reducing frontend delivery from 1 year to 1 quarter. - Identified backend and data science workflow inefficiencies via UX research addressing bottlenecks across ML infrastructure. - Managed design complexity across 16 product teams (6 Einstein products + 10 Hawking teams) while collaborating with 40+ stakeholders, including 12 Director+ level executives. - Submitted 3 patents (D997193 issued) for AI interaction patterns and received 2 Gratitude Bonuses for exceptional performance. - Grew Women in AI community to 200+ members as Head of PR while mentoring 20+ designers through Mentor Match program. ### Product Designer & Data Visualization Engineer @ Independent Contractor Jan 2019 – Jan 2020 | San Francisco Bay Area Transitioned from data science to product design, taking on multiple design contracts for AI and data visualization products while bridging product, data science, and engineering teams. - Built interactive data visualizations in D3, React, Django, and PostgresDB, making complex data interpretable for non-technical audiences. - Designed AI and data visualization products for enterprise clients, establishing timelines and building consensus across cross-functional teams. - Established modular design systems for long-term scalability across multiple platforms. - Evangelized Human Interface Guidelines and Material Design principles among engineering teams. ### Data Scientist @ In-Q-Tel Jan 2015 – Jan 2017 | Menlo Park, CA Implemented proof-of-concepts to challenging analytical problems faced by the U.S. Intelligence Community. - Gestalt: Developed a data visualization platform enabling subject-matter-experts to tell clear data stories without learning complex tools like D3; applied it to software defined network (SDN) attack and financial risk modeling. - Hermes: Built a modularized recommender system framework helping federal analysts identify which algorithms generate the most accurate recommendations; presented at NSA Conference and NIPS. - Pelops: Employed deep learning methodologies to automatically identify and re-identify vehicles for pattern of life discovery. - Standardized GitHub workflow by teaching classes on feature-branch workflow, rebase, merge conflicts, cherry-pick, and stash; received 9 out of 10 participant evaluation scores. - Installed and configured Spark and Mesos on internal servers for containerized Jupyter notebook processing, reducing server monopolization. ### Mobile Security Engineer @ Federal Government Jan 2011 – Jan 2015 | Washington D.C. Metro Area Designed and developed secure Android applications fulfilling mission needs. Best performing employee in engineering division (2013, 2014). Received Meritorious Unit Citation (2014, 2016) and Exceptional Achievement Award (2015). - Engineered early prototype of mobile application wrapping to limit effects of malicious applications, utilizing method two years before popular adoption. - Collaborated across multiple agencies to deliver technical solutions addressing senior leadership priorities. - Created solution to mass text messaging challenge serving federal communication needs. - Coached colleagues on building Android applications including security landscape, operating system differences, and device variations across carriers. ## Education ### Master of Information and Data Science in Data Science UC Berkeley School of Information ### Bachelor of Science in Computer Science UC San Diego ## Contact & Social - LinkedIn: https://linkedin.com/in/tiffanyjaya - Website: https://tiffanyjaya.com - Website: https://github.com/tiffanyjaya - Website: https://medium.com/@tiffanyjaya --- Source: https://flows.cv/tiffanyjaya JSON Resume: https://flows.cv/tiffanyjaya/resume.json Last updated: 2026-04-05