application_answers / art_4pA_rtUl4j4

Content

{
  "answers": [
    {
      "question": "Preferred First Name",
      "answer": "Felix"
    },
    {
      "question": "How did you hear about opportunities at Five9?",
      "answer": "I came across the role while researching AI-driven contact center platforms and product leadership opportunities in the enterprise SaaS space."
    },
    {
      "question": "If you were referred by a current Five9 employee please enter the employee's name here:",
      "answer": ""
    },
    {
      "question": "Select which best describes your right to work in the US?",
      "answer": "I have permanent work rights"
    },
    {
      "question": "Do you have direct, hands-on experience building, shipping, and managing the lifecycle of AI-driven products",
      "answer": "Yes \u2014 I have built and shipped multiple AI-driven products end-to-end, including an RL post-training workbench benchmarking GRPO/DPO across TRL, VeRL, OpenRLHF, and NeMo RL; an AI model evaluation platform (aeval) with FastAPI, TimescaleDB, and Redis; and Fintellect AI, a mobile-first platform with RAG retrieval, multi-provider LLM orchestration, and structured output validation \u2014 all managed through full product lifecycle from concept to launch."
    },
    {
      "question": "Do you have 4 or more years of professional experience specifically in SaaS product management?",
      "answer": "Yes \u2014 I have over 9 years of SaaS product management experience, including 3+ years as Staff Product Manager at Intuit (2021\u20132024) owning developer platform and infrastructure products, and 2 years as Senior Product Manager at Splunk (2019\u20132021) owning cloud search services \u2014 both enterprise SaaS environments."
    },
    {
      "question": "Do you have a proven track record of successfully delivering B2B SaaS solutions in a formal Product Manager capacity?",
      "answer": "Yes \u2014 At Intuit, I delivered the ICE Self-Service platform reducing developer onboarding from 2\u20133 weeks to minutes, scaled ICE engagements to 675M+ in FY23, and implemented ICE Presence generating $480K/month in additional invoicing. At Splunk, I delivered the Scheduler Service end-to-end in approximately 4 months and led query performance optimization achieving up to 10x improvements for enterprise customers \u2014 all in formal Product Manager roles."
    },
    {
      "question": "Do you have prior professional experience working within the Contact Center industry?",
      "answer": "No \u2014 My enterprise platform experience spans developer infrastructure, search orchestration, and SOA services rather than contact center software directly. However, at Intuit I owned async chat infrastructure including ICE Presence and Background-to-Foreground Messaging on iOS/Android, and at Kaiser Permanente I led Splunk Logging-as-a-Service serving 200+ internal enterprise customers, giving me strong adjacency to real-time communication and agent-tooling domains."
    },
    {
      "question": "Do you have a Bachelor's degree in Computer Science, Engineering, or a closely related technical field?",
      "answer": "Yes \u2014 I hold a Bachelor of Science in Computational Engineering Science from UC Berkeley's College of Engineering and Haas School of Business."
    },
    {
      "question": "Are you a current Five9 employee?  If so, please apply through the Internal Job Board in Greenhouse.",
      "answer": "No"
    },
    {
      "question": "Candidate comments:",
      "answer": "I bring 12+ years of technical product leadership spanning AI/ML platforms, developer-facing SaaS infrastructure, and real-time systems \u2014 including hands-on experience implementing LLM orchestration, RAG pipelines, and RL post-training frameworks. At Intuit, I scaled a platform to 675M+ engagements and 50K TPS while driving measurable developer productivity and revenue outcomes. I am particularly drawn to Five9's Agent Assist portfolio because it sits at the intersection of applied AI and real-time human-in-the-loop systems \u2014 a domain I have directly navigated building latency-sensitive, multimodal AI pipelines. I am confident I can bring both the technical depth and cross-functional execution discipline this role requires."
    }
  ],
  "skipped": [
    "First Name",
    "Last Name",
    "Email",
    "Phone",
    "Resume/CV",
    "Cover Letter"
  ]
}