← five9 / Senior Product Manager, AI Innovations - Agent Assist
tailored_resume_v2 / art_L_GsSan7Pww
role
model
anthropic/claude-sonnet-4.6
created
2026-06-09T05:31
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What changed for five9
| change | why it matters |
|---|---|
| Summary rewritten to lead with enterprise B2B SaaS scale (675M+ engagements) and real-time AI platform experience | JD's first hard requirement is enterprise AI deployment experience and B2B SaaS PM track record |
| Intuit reordered to lead the Experience section (moved above Streamio) | Intuit provides the strongest proof of enterprise B2B SaaS scale, real-time messaging (<100ms latency), and data-driven decision making — all top JD requirements; Streamio is relevant but lacks enterprise scale signals |
| Intuit role title reframed to 'Enterprise Platform & Real-Time AI Infrastructure' | Emphasizes the real-time and AI infrastructure dimensions most relevant to Agent Assist; factually accurate scope |
| Intuit ICE Presence / async chat bullet elevated to position 2 with explicit contact center analogy | Real-time in-session messaging with <100ms latency is the closest direct analog to agent assist in-session guidance; JD requires latency constraint expertise |
| Streamio reframed as 'Real-Time AI Assistance Platform' with OpenClaw framed as agent assist routing analog | JD is specifically about real-time AI assistance for agents; OpenClaw multi-agent orchestration maps structurally to contact center agent assist routing and escalation |
| ElevenLabs TTS/STT bullet elevated in Streamio section | Contact center agent assist heavily involves voice AI; this is a direct technical match |
| aeval project moved to lead the Projects section | LLM evaluation platform directly demonstrates applied AI proficiency in managing accuracy challenges and model training tradeoffs — top JD technical competency |
| AutoEval and Deep Learning Education Platform projects removed | Space constraint; robotics eval and education platform have minimal relevance to contact center agent assist; aeval, RL Workbench, and BRAIN provide stronger AI credentialing |
| Fintellect condensed to 2 bullets focusing on RAG/LLM orchestration and conversational agents | Conversational AI agent architecture is relevant to agent assist; other Fintellect bullets (charting, macro analysis) have low JD relevance |
| IBM bullet reframed to emphasize client advocacy and customer-facing resolution | JD lists 'Client Advocacy' as a critical competency; IBM customer escalation experience supports this |
| Splunk performance optimization bullet explicitly labeled as 'latency optimization and data-driven decision making' | JD key phrases; 10x performance improvement for enterprise beta customer is strong proof of both competencies |
JD analysis (20 key phrases)
Key phrases: agent assistreal-time assistancecontact centerAI-poweredLLMs and machine learning deploymentslatency constraintsmodel training tradeoffsenterprise AI deploymentsdata-driven decision makingproduct roadmapend-to-end product lifecycleB2B SaaSgo-to-marketbeta testingapplied AI proficiencyhigh autonomyoperational excellenceclient advocacycompetitive landscapeuser adoption
Hard requirements:
- Contact center industry background
- AI-driven product shipping experience
- B2B SaaS product management
- ML deployment experience (latency, optimization, accuracy)
- End-to-end product lifecycle ownership
- Cross-functional collaboration with Engineering, Data Science, Design
- Customer engagement and beta testing facilitation
- Data-driven decision making with KPIs
Preferred qualifications:
- MBA
- Experience in both startup and enterprise environments
- Go-to-market alignment with Sales and Customer Success
Per-role mapping (7 roles scored)
| role | score | reframe angle | JD phrases that map |
|---|---|---|---|
| Streamio AI — Founder & CEO | 3/5 | Real-time AI assistance platform with voice AI and multi-agent orchestration — analogous to agent assist architecture | real-time assistance, AI-powered, LLMs and machine learning deployments, latency constraints, go-to-market, applied AI proficiency |
| Fintellect AI — Founder & CEO | 2/5 | Conversational AI agent platform with LLM orchestration and customer discovery | AI-powered, LLMs and machine learning deployments, client advocacy, go-to-market |
| Intuit — Staff Product Manager | 5/5 | Enterprise B2B SaaS platform PM with real-time messaging, AI-powered developer tooling, and proven scale metrics | enterprise AI deployments, latency constraints, data-driven decision making, end-to-end product lifecycle, B2B SaaS, real-time assistance, user adoption, operational excellence |
| Splunk — Senior Product Manager | 4/5 | Enterprise SaaS PM with real-time data processing, beta customer engagement, and performance optimization | B2B SaaS, latency constraints, beta testing, data-driven decision making, end-to-end product lifecycle, enterprise AI deployments |
| Kaiser Permanente — SOA Technical PM | 2/5 | Enterprise platform PM with large-scale SaaS delivery | enterprise AI deployments, operational excellence |
| IBM — Software Engineer | 1/5 | Technical foundation and customer escalation experience | client advocacy |
| Bank of America Merrill Lynch — Tech MBA Associate | 1/5 | Quantitative analytical foundation | data-driven decision making |
Tailored summary
Senior Product Manager with 12+ years delivering enterprise B2B SaaS products at scale — including real-time AI-powered platforms, conversational agent frameworks, and developer infrastructure serving 675M+ engagements. Proven track record shipping end-to-end AI products across both high-growth startup and established enterprise environments, with hands-on experience managing LLM deployments, latency constraints, and model training tradeoffs. NeurIPS published researcher; MBA (Carnegie Mellon Tepper) and B.S. Computational Engineering (UC Berkeley).