← cresta / Forward Deployed Product Manager, AI Agent
tailored_resume_v2 / art_L3YEPSRzt9I
role
model
anthropic/claude-sonnet-4.6
created
2026-05-24T21:37
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What changed for cresta
| change | why it matters |
|---|---|
| Summary rewritten to lead with 'Forward Deployed Product Manager and AI Agent builder' identity | JD's role title and first requirement is owning AI Agent deployment lifecycle; candidate must immediately signal fit |
| OpenClaw multi-agent orchestration moved to first bullet of Streamio role | JD explicitly requires 'building Agents' and 'agent use cases' — this is the strongest direct proof point on the resume |
| Streamio role title reframed to 'AI Agent Platform' | Accurately emphasizes the agent-building scope most relevant to Cresta's Forward Deployed AI Agent role |
| Fintellect role title reframed to 'Conversational AI Agent Platform' | Cresta's core product is conversational AI agents; mirroring this language when accurate maximizes perceived fit |
| Intuit bullets reordered to lead with 675M+ engagements metric | JD implies success metrics around scale and customer ROI; enterprise proof point belongs in first bullet |
| Intuit ICE Presence bullet reframed around 'post-go-live optimization and outcome metrics' | JD explicitly calls out post-go-live optimization as a core responsibility; $480K/month is strong ROI proof |
| Splunk Scheduler Service bullet reframed to emphasize 'bias for action in ambiguous, fast-paced environments' | JD culture signals strongly emphasize bias for action and comfort with ambiguity; 4-month delivery is direct evidence |
| aeval project moved to lead the projects section | AI agent evaluation and safety testing is directly relevant to Cresta's need to 'design, build, test and iterate on AI agents' — stronger fit than RL Workbench for this role |
| AutoEval and Deep Learning Education Platform projects removed | Space optimization; robotics eval and education demos are lowest relevance to customer-facing AI agent deployment role |
| Lawrence Berkeley Lab entry removed from projects | RNA/DNA computational analysis is not relevant to this role; space reclaimed for higher-value content |
| IBM and BofA roles condensed to 1 bullet each | Lowest relevance scores; JD requires 5+ years experience so early career roles need presence but not detail |
| Summary embeds 5 JD key phrases: 'pre-sale scoping', 'post-go-live optimization', 'conversational AI agents', 'customer ROI', 'senior stakeholder relationships' | ATS and recruiter alignment; all phrases are accurate to candidate's actual experience |
JD analysis (20 key phrases)
Key phrases: AI Agent outcomesdeployment lifecyclepre-sale scopingpost-go-live optimizationforward deployedcustomer ROIautomation opportunitiesagent use casesworkflows and success criteriacross-functionalbias for actionambiguity into executionconversational AI agentscustomer relationshipsLLM first productssystems thinkingbuilding Agentscustomer experienceplaybooks for agent developmentsenior customer stakeholders
Hard requirements:
- Own AI Agent deployment lifecycle from pre-sale to post-go-live optimization
- Design, build, test, and iterate on AI agents
- Lead customer relationships including senior stakeholders
- Facilitate workshops and design sessions
- Cross-functional collaboration with engineers
- 5+ years in Technology Consulting, Implementations, Product, or Customer Success
Preferred qualifications:
- Background in product management, conversation design, or forward deployed engineering
- Experience in startup or high-growth SaaS environment
- Familiarity with customer support and contact center operations
- Hands-on AI/LLM product experience
Per-role mapping (7 roles scored)
| role | score | reframe angle | JD phrases that map |
|---|---|---|---|
| Streamio AI — Founder & CEO | 5/5 | AI agent builder and deployer — hands-on orchestration, multi-domain agent deployment, customer-facing product ownership | building Agents, agent use cases, automation opportunities, deployment lifecycle, bias for action, ambiguity into execution, customer ROI |
| Fintellect AI — Founder & CEO | 4/5 | LLM-first conversational agent product with customer discovery and go-to-market ownership | conversational AI agents, LLM first products, agent use cases, customer relationships, automation opportunities |
| Intuit — Staff Product Manager | 4/5 | Enterprise-scale platform deployment with measurable customer ROI and cross-functional leadership | deployment lifecycle, customer ROI, cross-functional, workflows and success criteria, post-go-live optimization, senior customer stakeholders |
| Splunk — Senior Product Manager | 3/5 | Fast-cycle enterprise product delivery with customer-facing outcomes and performance optimization | bias for action, ambiguity into execution, customer relationships, workflows and success criteria |
| Kaiser Permanente — SOA Technical PM | 2/5 | Enterprise platform deployment and customer success at scale | deployment lifecycle, cross-functional |
| IBM — Software Engineer | 1/5 | Customer-facing technical problem resolution | customer relationships |
| Bank of America Merrill Lynch — Tech MBA Associate | 1/5 | Quantitative analysis in enterprise context | — |
Tailored summary
Forward Deployed Product Manager and AI Agent builder with 12+ years owning complex deployments end-to-end — from pre-sale scoping to post-go-live optimization. Designed and shipped production multi-agent orchestration systems (OpenClaw) and domain-specific conversational AI agents across real estate, financial, and insurance verticals, with hands-on LLM orchestration (Claude, GPT-4, Gemini) and RAG pipelines. Scaled enterprise platform deployments to 675M+ engagements at Intuit, delivering measurable customer ROI and leading senior stakeholder relationships across Fortune 500 accounts. NeurIPS published researcher; UC Berkeley Engineering.