{ "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json", "basics": { "name": "Erman Yaman", "label": "AI-Native Product Leader & Builder", "image": "https://assets.erman.yaman.us/images/ErmanYamanPortrait.webp", "email": "erman@yaman.us", "url": "https://erman.yaman.us/", "summary": "Erman Yaman is an AI-native product leader in Austin, TX who combines enterprise product leadership with hands-on AI engineering. As Senior Product Manager, eCommerce & UI/UX at McLane Company, a Berkshire Hathaway company, he led product and UI/UX for McLane360 from concept to launch in six months; it processed tens of millions of dollars in orders in its first six weeks. He founded ValuFact and built it solo, end to end: an AI financial-intelligence platform covering 8,000+ public companies, with deterministic SEC data pipelines, Google Gemini and open-weight LLMs in production, multi-stage filing synthesis and machine-learning models he trained himself, governed by pre-registered acceptance gates and immutable prediction ledgers. 15 years, 14 products taken to market.", "location": { "city": "Austin", "region": "TX", "countryCode": "US" }, "profiles": [ { "network": "LinkedIn", "username": "ermany", "url": "https://www.linkedin.com/in/ermany/" } ] }, "work": [ { "name": "McLane Company", "position": "Senior Product Manager, eCommerce & UI/UX", "url": "https://www.mclaneco.com", "location": "Austin, TX", "description": "a Berkshire Hathaway company", "startDate": "2026-02", "summary": "Own product strategy, roadmap and customer experience for McLane360, the unified B2B customer platform, leading a team of one Product Owner and two UI/UX leads.", "highlights": [ "Turned a request to extend browser ordering into McLane360, one platform for promotions, ordering, delivery visibility and business insights, and took it from concept through beta to launch in six months. The platform processed tens of millions of dollars in orders within its first six weeks.", "Run product steering and quarterly roadmap planning with senior business, technology, sales and marketing leaders, resolving trade-offs across workstreams.", "Launched at McLane Engage 2026 with customer and teammate satisfaction both above 4 out of 5 in post-event surveys, beating the target set before the show.", "Established an eight-phase UX delivery framework, design-system standards and an AI-assisted, code-based prototyping practice that cut UI design cycles from months to one to two weeks.", "Designed a vendor-agnostic product-data architecture that forms the business case for future eCommerce investment." ] }, { "name": "ValuFact", "position": "Founder, Product & Engineering Lead", "url": "https://valufact.com", "location": "Austin, TX", "description": "independent venture", "startDate": "2025-10", "summary": "Conceived and built an AI-native financial-intelligence platform end to end: product strategy, UX, architecture, SEC data pipelines, APIs and production operations.", "highlights": [ "Covers 8,000+ public companies, with standardized financials for 7,000+ built on 17,700+ GAAP concept mappings.", "Shipped AI filing analysis, 18 financial ratios, six composite scores, screeners, alerts, market intelligence and point-in-time backtesting; designed four-tier subscription packaging with usage-based cost controls.", "Built model governance into the product: masked holdout testing, pre-registered acceptance gates, immutable prediction ledgers and a full configuration audit trail, with deterministic fallbacks wherever AI did not outperform rules.", "Trained the platform's machine-learning models: a small language model with embeddings for the Pattern Map (admin-only until it passes a pre-registered retrodiction test), an insider-trade intent model, score and signal prediction models graded by an immutable prediction ledger, and a GAAP concept classifier.", "Runs Google Gemini and open-weight models in production; used OpenAI GPT and Anthropic Claude to build the platform (AI-assisted and agentic engineering), not inside the product, for cost reasons.", "Autonomous monitoring and research/analysis agents run the platform's internal operations; multi-stage synthesis turns large filings into one schema-bound analysis." ] }, { "name": "Frumatic", "position": "Global Product Director", "location": "Austin, TX · remote", "description": "Monaco-based software development company", "startDate": "2019", "endDate": "2026-02", "summary": "Directed product strategy and delivery for 11 client products across four countries, leading two Product Managers and two UI/UX Designers alongside distributed engineering teams.", "highlights": [ "Built and commercialized a UX service offering from the ground up (team, operating model and client proposition) that generated 20% of company revenue in 2022, with a 54% close-to-quote ratio on proposals.", "Led products across fintech (open-banking and Gen Z banking apps), automotive dealership SaaS, healthcare and hospitality, growing annual project throughput 26%.", "Standardized discovery, requirements and user-story practices across teams, raising sprint velocity 57%.", "Led market analysis, customer research and the roadmap for a Nordic telecom conglomerate’s digital presence, driving a 103% increase in pageviews in seven months." ] }, { "name": "Storia Inc.", "position": "Head of Product", "location": "Istanbul, Turkey", "description": "San Francisco-based digital media startup", "startDate": "2019", "endDate": "2020", "summary": "Led the pivot to an interactive user-generated-content platform on a startup budget, refocusing the company on two markets.", "highlights": [ "Grew users 34% to 1.7M and pageviews 148% to 17.2M through cross-functional design and engineering delivery.", "Designed a points-and-ranking system that lifted pageviews per session 313% and session duration 156% while cutting bounce rate 73%.", "Narrowed operations to Turkey and Brazil, rebuilt the team around a lean model, and won investor buy-in for the new product strategy." ] }, { "name": "Tuyap Exhibitions Group", "position": "Marketing Programs Manager", "location": "Istanbul, Turkey", "description": "Reed Exhibitions joint venture", "startDate": "2015", "endDate": "2017", "summary": "Identified, developed and commercialized B2B digital services, coordinating software, BI, IT and commercial teams.", "highlights": [ "Generated $1.5M in digital revenue in 2016 without capital investment.", "B2B recommendation products improved Net Promoter Score by 29 points and customer satisfaction by 18% across two pilot exhibitions." ] }, { "name": "Kale Industries Holding Co.", "position": "Product Development Specialist", "location": "Istanbul, Turkey", "startDate": "2014", "endDate": "2015", "summary": "Translated customer research across 12 cities into pricing and go-to-market strategy for two category-defining launches with ~$250M in projected revenue.", "highlights": [ "Represented the customer across the development and improvement of 40 products." ] }, { "name": "Arena Computers Inc.", "position": "Consumer Electronics Product Manager", "location": "Istanbul, Turkey", "description": "Redington India subsidiary", "startDate": "2011", "endDate": "2014", "summary": "Owned market analysis, portfolio and pricing strategy for the consumer-electronics category.", "highlights": [ "Grew category revenue 41%, from $10.8M to $15.2M in two years, more than twice the company growth rate." ] } ], "projects": [ { "name": "ValuFact", "description": "AI-native financial-intelligence platform that turns SEC filings into plain-English summaries, standardized financials, scores and screens for 8,000+ public companies.", "url": "https://valufact.com", "entity": "ValuFact", "roles": [ "Product Strategy", "AI Product Governance", "UX Design", "Full-Stack Development", "Data Engineering", "DevOps" ], "keywords": [ "Product Strategy", "AI Product Governance", "UX Design", "Full-Stack Development", "Data Engineering", "DevOps" ], "highlights": [ "Identified the gap between institutional-grade financial data tools ($20K+ a year) and what individual investors can access", "Conceived, designed and built the product end to end, from concept and packaging to architecture and operations", "Engineered real-time SEC monitoring that detects new filings within minutes of publication", "Built a 6-phase document cleaning pipeline that turns raw SEC filings (HTML, XBRL, SGML) into clean, structured text — cutting file size 60–85% while preserving the meaningful content", "Designed filing-type-specific AI prompt architectures with rigid JSON output schemas for consistent analysis across 10-K, 10-Q, 8-K, Form 4, 20-F and 6-K filings", "Developed a 4-layer financial concept classification engine mapping 17,738 GAAP concepts to standardized statement line items", "Built an 18-ratio analysis engine and six composite scores with data-quality tracking, trend history and plain-English explanations", "Designed four-tier subscription packaging with usage-based AI cost controls", "Built model governance into the product: pre-registered acceptance gates, masked holdouts, immutable prediction ledgers and a configuration audit trail", "Run the production stack — FastAPI, PostgreSQL and a systemd worker fleet — with encrypted off-box backups" ] }, { "name": "McLane360", "description": "Led eCommerce product and UI/UX for McLane360 with a team of one Product Owner and two UI/UX leads, shaping the ordering experience from the ground up and helping bring McLane’s unified customer platform to market.", "url": "https://erman.yaman.us/projects/mclane360/", "entity": "McLane Company", "roles": [ "Product Strategy", "eCommerce", "UI/UX", "Launch Execution" ], "keywords": [ "Product Strategy", "eCommerce", "UI/UX", "Launch Execution" ], "highlights": [ "6 months: From vision to public launch", "4+: Customer & team satisfaction", "$XXM: In orders within the first six weeks" ] }, { "name": "Frumatic DMS", "description": "Smart, ultra-flexible, and connected SaaS platform that streamlines auto dealership management.", "url": "https://erman.yaman.us/projects/frumatic-dms/", "entity": "Frumatic", "roles": [ "Product Strategy", "Project Roadmap", "Product Operations", "UX Design" ], "keywords": [ "Product Strategy", "Project Roadmap", "Product Operations", "UX Design" ], "highlights": [ "Researched the market for trends, opportunities, and risks", "Collaborated with auto retailers to understand their workflow, needs, and pain points", "Created the product vision, strategy, and roadmap for an ecosystem of digital products that enable auto retailers to run their businesses digitally, with minimum effort and operating expenses", "Wrote product and task requirements, designed user-flows, drew wireframes, and outlined business logic to effectively communicate expected functionality across all stakeholders", "Designed an ultra-flexible and connected information architecture that would allow the system to evolve quickly without losing reliability or stability", "Created a scalable, reusable component system and utilized a front-end framework to enable fast development, maintenance, and improvement", "Managed Product, UX, and Software Development teams to successfully deliver Version 1" ] }, { "name": "Price Prediction & Market Insights", "description": "Analytics toolkit that accurately estimates car market values and displays competitor inventory details.", "url": "https://erman.yaman.us/projects/price-prediction-market-insights/", "entity": "Frumatic", "roles": [ "Data Analytics", "Product Operations" ], "keywords": [ "Data Analytics", "Product Operations" ], "highlights": [ "Established an ethical and conscious way to scrape publicly available listing data (no copyrighted or personal information was scraped, throttled crawler requests) in the Finnish Automotive Market", "Created a data structure that allows classifying and grouping listings per Make, Model, Trim, Model Year, Auto Retailer, Branch, and Sub-Branch", "Built a linear regression model to define the relationship for each model generation between mileage, model year, and package (or certain keywords in the description)", "Built a dashboard to visualize the results and allow users to search for specific information with ease" ] } ], "education": [ { "institution": "Yale School of Management", "url": "https://som.yale.edu", "area": "Management", "studyType": "Master of Advanced Management", "endDate": "2018", "courses": [ "Digital Strategy", "Management of Software Development" ] }, { "institution": "Koç University Graduate School of Business", "url": "https://gsb.ku.edu.tr", "area": "Business Administration", "studyType": "MBA", "endDate": "2017", "score": "4.00 GPA, ranked 1st in class" }, { "institution": "Anadolu University", "url": "https://www.anadolu.edu.tr", "area": "Economics", "studyType": "BA", "endDate": "2008" } ], "awards": [ { "title": "Ranked 1st in class, 4.00 GPA", "awarder": "Koç University Graduate School of Business", "date": "2017" }, { "title": "Class President and Student Representative", "awarder": "Koç University Graduate School of Business", "date": "2017" }, { "title": "Honors in seven courses, including Digital Strategy and Management of Software Development", "awarder": "Yale School of Management", "date": "2018" } ], "skills": [ { "name": "AI-native product development", "keywords": [ "AI-assisted prototyping", "AI-assisted development", "LLM product integration", "Structured outputs", "Evaluation & acceptance gates", "Model governance", "AI cost controls", "Deterministic fallbacks" ] }, { "name": "Product & commercialization", "keywords": [ "Product strategy", "Business cases", "Pricing & packaging", "Multi-year roadmaps", "Go-to-market", "Customer & market research" ] }, { "name": "Operating rhythm & teams", "keywords": [ "Team building", "Steering committees", "Quarterly planning", "Delivery frameworks", "Design-system standards", "Executive alignment" ] }, { "name": "Tools & stack", "keywords": [ "Python / FastAPI", "Next.js / TypeScript", "PostgreSQL", "SQL", "REST APIs", "HTML / CSS / JavaScript", "Jira", "Confluence", "Figma", "Miro", "Google Analytics", "Firebase", "Google AI Studio", "Cloudflare", "VS Code", "WordPress" ] }, { "name": "AI & ML engineering", "keywords": [ "Machine learning model training", "Small language models and embeddings", "LLM evaluation and model selection", "Agentic AI workflows", "Multi-stage LLM pipelines", "Structured outputs (JSON schemas)", "Pre-registered evaluation and acceptance gates", "Holdout testing and point-in-time backtesting", "Model governance and audit trails", "Deterministic data pipelines", "AI cost optimization", "SEC EDGAR and XBRL data", "US GAAP financial data standardization", "Python / FastAPI", "PostgreSQL" ] } ], "meta": { "canonical": 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