application_answers / art_9KF8dpxXLwI

Content

{
  "answers": [
    {
      "question": "Location (State)",
      "answer": "California"
    },
    {
      "question": "This position is based in the San Francisco office and adopts a hybrid work approach with 3 days in the office. Are you able to work in and / or open to relocating to the San Francisco Bay Area at this time?",
      "answer": "Yes, I currently live in San Francisco and can commute to the office 3 days/week. \u2014 My resume lists Oakland, CA as my current base, placing me within the San Francisco Bay Area and able to commute to the SF office without relocation."
    },
    {
      "question": "Are you subject to a non-competition agreement or other agreement that would preclude or restrict your employment with Crunchyroll?",
      "answer": "No"
    },
    {
      "question": "Do you currently, or will you in the future, require any immigration-related support or sponsorship from Crunchyroll in order to begin or continue employment with Crunchyroll?",
      "answer": "No"
    },
    {
      "question": "Please describe your hands-on experience designing and launching Gen AI-powered customer self-service chatbot experiences for global B2C organizations. If none, put N/A. ",
      "answer": "At Fintellect AI, I designed and launched domain-specific conversational AI agents \u2014 the Fintellect Agents \u2014 embedded in both the mobile and web app and scoped to distinct financial focal points (investing journeys, macroeconomic analysis, trade analysis). These agents used a RAG retrieval pipeline backed by ChromaDB, multi-provider LLM orchestration across Claude, GPT-4, and Gemini with fallback routing, structured output validation, and token budget optimization. The platform was shipped to retail investors via App Store launch, making it a live B2C self-service experience. At StreamIO AI, I built an AI chat layer powered by Claude via the MCP SDK that enables contextual, screen-aware conversations for end users \u2014 including automated real estate CMA report generation via Redfin/Zillow APIs \u2014 deployed on macOS, Linux, iOS, and web. Both products were 0-to-1 builds where I owned product strategy, AI architecture decisions, and go-to-market execution."
    },
    {
      "question": "Who were the primary users of the self-service chatbot/conversational AI product you worked on?\n",
      "answer": "For Fintellect AI, the primary users were retail investors and self-directed traders seeking guided financial education, real-time market insights, and context-aware investing advice \u2014 a B2C audience acquired through the App Store. For StreamIO AI, the primary users are individual professionals and knowledge workers (including real estate agents and traders) who interact with the AI chat layer to analyze screen content, generate reports, and execute domain-specific workflows. At Intuit, the conversational AI work (ICE Presence in async chat) served both internal developers and end consumers across QuickBooks, TurboTax, Mint, Mailchimp, and Credit Karma \u2014 a combined user base that scaled to 675M+ engagements in FY23."
    },
    {
      "question": "What Gen AI chatbot platforms/products did you use to design AI-powered customer self-service chat box experiences? (i.e. Sierra AI) How familiar are you with these tools? ",
      "answer": "My hands-on experience is primarily with building custom Gen AI chat experiences rather than configuring off-the-shelf platforms like Sierra AI. Specifically, I have deep familiarity with the Anthropic Claude API and MCP SDK (used in StreamIO for screen-aware contextual chat), OpenAI GPT-4 and Google Gemini APIs (used in Fintellect AI's multi-provider LLM orchestration layer with fallback routing), and ChromaDB for RAG-backed retrieval. I also built the OpenClaw multi-agent orchestration framework \u2014 a custom gateway protocol with subagent delegation and session management \u2014 which functions analogously to an enterprise chatbot routing layer. I have not used Sierra AI directly, but given my experience architecting LLM orchestration pipelines, RAG retrieval, structured output validation, and multi-agent workflows from scratch, I am well-positioned to evaluate, configure, and extend platforms like Sierra AI rapidly."
    },
    {
      "question": "What customer experience / helpdesk tools have you implemented or integrated into an organization? If none, put N/A. ",
      "answer": "At Intuit, I owned the ICE (Intuit Customer Experience) platform, which served as the core developer framework underpinning customer-facing experiences across QuickBooks, TurboTax, Mint, Mailchimp, and Credit Karma. I delivered the ICE Self-Service platform including DevPortal, GitOps configuration, and ICE Playground, and implemented ICE Presence in async chat \u2014 a feature that generated $480K/month in additional invoicing. I also deployed Background-to-Foreground Messaging on iOS and Android with sub-100ms latency, directly impacting customer engagement at scale. At Kaiser Permanente, I led the enterprise rollout of Splunk Logging-as-a-Service (1.7 TB daily volume, 200+ internal enterprise customers) and ITSI Application Monitoring-as-a-Service, which served as operational support tooling for internal CX and IT teams. I have not implemented Salesforce Service Cloud or Salesforce OMS directly, but I have extensive experience with the underlying integration patterns (API integrations, platform migrations, third-party vendor management) that govern those deployments."
    },
    {
      "question": "What is your experience working in the digital subscription, streaming, e-commerce, or payments industries?  How did you interface with Customer Experience teams in those roles? If none, put N/A. ",
      "answer": "At Intuit, I spent three years as a Staff PM on the Developer Frameworks and Platform Infrastructure team, directly supporting digital subscription products across QuickBooks, TurboTax, Mint, Mailchimp, and Credit Karma. I worked with telemetry and usage data (SQL, BigQuery) to prioritize developer pain points across ~20 mobile apps and 30+ product SKUs, and the ICE platform I owned powered customer-facing experiences at 675M+ engagements in FY23. I interfaced with CX-adjacent teams by delivering the ICE Presence async chat feature and Background-to-Foreground Messaging, both of which directly affected customer resolution flows. At StreamIO AI, I built end-to-end subscription and payments infrastructure using Stripe (tiered plans) and Kinde OAuth 2.0 \u2014 giving me direct experience with subscription lifecycle management in a streaming/SaaS context. At Fintellect AI, I launched a mobile-first fintech platform via the App Store with subscription-based access to AI-powered investing tools, and I conducted customer discovery interviews to refine the product based on user feedback \u2014 a direct analog to CX team collaboration."
    }
  ],
  "skipped": [
    "First Name",
    "Last Name",
    "Email",
    "Phone",
    "Resume/CV",
    "Cover Letter",
    "LinkedIn Profile",
    "If you answered yes to the above question, and you are currently located in the U.S., please indicate your current U.S. immigration status/visa and type of sponsorship required (if known):",
    "Please describe your Total Rewards expectations in order to consider a new role with Crunchyroll."
  ]
}