← five9 / Principal Product Manager, Google Gemini Enterprise for Customer Experience (GECX)
tailored_resume_v2 / art_Sb2U9T3aoAU
role
model
anthropic/claude-sonnet-4.6
created
2026-06-02T23:40
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What changed for five9
| change | why it matters |
|---|---|
| Summary rewritten to lead with multi-agent orchestration and RAG architecture credentials | JD's core technical requirements are agentic design patterns, RAG architectures, and LLM orchestration for GECX integration |
| Intuit reordered to lead Experience section (moved above Streamio/Fintellect) | Intuit provides the strongest proof of principal-level B2B SaaS PM scope (675M+ engagements, $480K/month revenue impact) — the JD's first hard requirement is 8+ years B2B SaaS PM |
| Intuit lead bullet reframed to emphasize cross-functional roadmap execution and business outcomes at scale | JD prioritizes 'lead cross-functional teams across engineering, design, data science, and GTM' and 'measurable business outcomes' |
| Streamio title reframed to 'Autonomous AI Agent Platform' | JD's central vision is 'AI agents that can execute complex, multi-step actions autonomously' — OpenClaw directly demonstrates this |
| Streamio OpenClaw bullet reframed to explicitly map to GECX Agent Assist and Conversational Insights | Direct product analogy strengthens fit signal for the specific GECX integration scope |
| Fintellect RAG bullet reframed with 'agentic design patterns at the core of GECX' language | JD lists RAG architectures and agentic design patterns as preferred qualifications — candidate has production implementation |
| aeval project moved to lead the Projects section | JD explicitly calls out 'evaluation frameworks' and 'responsible AI principles' and 'Quality AI' — aeval is the strongest proof point for all three |
| Education reordered to lead with MBA (Tepper) | JD states 'MBA or advanced degree is a strong plus' — surfacing the MBA first maximizes signal |
| IBM and BofA bullets condensed to single bullets each | Low relevance roles; space optimization for 2-page target while maintaining presence per anti-pattern rules |
| Deep Learning Education Platform project removed | Lowest relevance to CX/GECX integration role; space needed for higher-signal content |
| Lawrence Berkeley National Laboratory entry removed from projects | NeurIPS credential consolidated into BRAIN project bullet; space optimization |
| Summary embeds 5 key JD phrases naturally: multi-agent orchestration, RAG architectures, LLM-powered conversational AI agents, agentic design patterns, responsible AI evaluation frameworks | Phase 4 formula requires 3-5 key_phrases embedded naturally in summary |
JD analysis (20 key phrases)
Key phrases: autonomous agentsmulti-step actions autonomouslyAI agent orchestrationmulti-agent orchestrationagentic design patternsRAG architecturesLLM applicationsApplied AIintelligent customer experienceAgent AssistConversational InsightsQuality AIproduct vision and strategygo-to-marketbeta programsresponsible AIevaluation frameworksdata-driven decisionscross-functional teamsstrategic partnership
Hard requirements:
- 8+ years B2B SaaS product management
- AI/ML-powered product launches and scaling
- Cross-functional leadership across engineering, design, data science, GTM
- Data-driven decision making and analytical skills
- Go-to-market strategy, positioning, pricing
- Stakeholder influence in matrixed global organizations
- Beta program management and A/B testing
- Bachelor's in CS/Engineering or related field
Preferred qualifications:
- Deep domain expertise in Applied AI and autonomous agents
- Contact center quality assurance or CX tech stacks
- Forward deployment / customer onboarding experience
- LLM applications, prompt engineering, RAG architectures
- Agentic design patterns (ReAct, Chain-of-Thought, tool use, multi-agent orchestration)
- AI agent orchestration frameworks
- Fast-paced high-growth SaaS serving enterprise customers
- Global distributed team management
- MBA or advanced degree
Per-role mapping (11 roles scored)
| role | score | reframe angle | JD phrases that map |
|---|---|---|---|
| Streamio AI — Founder & CEO | 4/5 | Multi-agent orchestration and autonomous AI agent product development — directly maps to GECX autonomous agent vision | multi-agent orchestration, autonomous agents, agentic design patterns, go-to-market, 0-to-1 product strategy |
| Fintellect AI — Founder & CEO | 3/5 | RAG architecture and LLM orchestration for conversational AI agents — maps to GECX Agent Assist and Conversational Insights | RAG architectures, LLM applications, multi-agent orchestration, conversational AI, go-to-market |
| Intuit — Staff Product Manager | 5/5 | Enterprise-scale B2B SaaS platform product leadership with measurable business impact — strongest proof of principal-level PM scope | cross-functional teams, data-driven decisions, go-to-market, strategic partnership, beta programs, enterprise customers |
| Splunk — Senior Product Manager | 3/5 | Cloud SaaS platform PM with enterprise beta program delivery and data/analytics product ownership | beta programs, data-driven decisions, enterprise customers, B2B SaaS |
| Kaiser Permanente — SOA Technical PM | 2/5 | Enterprise platform scale and operational rigor | enterprise customers, data-driven decisions |
| IBM — Software Engineer | 1/5 | Technical foundation and enterprise customer escalation experience | — |
| Bank of America Merrill Lynch — Tech MBA Associate | 1/5 | Business case and ROI modeling | ROI models |
| RL Workbench | 3/5 | AI evaluation frameworks and responsible AI — maps to JD's evaluation frameworks and responsible AI principles | evaluation frameworks, responsible AI, Applied AI |
| aeval — AI Model Evaluation Platform | 4/5 | Responsible AI evaluation platform — directly maps to JD's evaluation frameworks and Quality AI component of GECX | evaluation frameworks, responsible AI, Quality AI, Applied AI |
| AutoEval | 2/5 | AI evaluation automation | evaluation frameworks |
| BRAIN | 2/5 | Deep ML research credibility | Applied AI |
Tailored summary
Principal Product Manager with 12+ years driving AI/ML product strategy and enterprise-scale B2B SaaS platforms — including multi-agent orchestration frameworks, RAG architectures, and LLM-powered conversational AI agents deployed across real estate, financial, and health verticals. Scaled a platform to 675M+ engagements at Intuit while delivering $480K/month in incremental revenue; built and shipped autonomous agent systems from 0 to 1 as a founder. NeurIPS published AI researcher with deep expertise in agentic design patterns, responsible AI evaluation frameworks, and cross-functional leadership across global, matrixed organizations. MBA (Tepper/CMU) + MS Software Management (CMU).