← cresta / Forward Deployed Product Manager, AI Agent
tailored_resume_v2 / art_aGQQ8w7ZBMw
role
model
anthropic/claude-sonnet-4.6
created
2026-05-24T21:28
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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 title and role identity is Forward Deployed PM, AI Agent — candidate must mirror this framing immediately |
| Summary embeds 'pre-sale scoping through post-go-live optimization', 'conversational AI agents', 'customer ROI', 'LLM orchestration' | These are exact key phrases from the JD that map to genuine candidate experience |
| OpenClaw multi-agent orchestration bullet moved to lead position in Streamio role | JD's core technical requirement is building AI Agents; OpenClaw is the strongest direct proof point |
| Streamio role reframed around 'AI Agent deployment lifecycle ownership' and 'agent use cases and success criteria' | JD owns the full deployment lifecycle for AI Agents — Streamio's 0-to-1 agent work maps directly |
| Fintellect role leads with 'domain-specific conversational AI agents' bullet | Cresta's core product is conversational AI agents; Fintellect's scoped financial agents are the strongest analog |
| Intuit role title adjusted to 'Platform Infrastructure & Developer Experience' (removed 'Developer Frameworks') | Emphasizes deployment and infrastructure ownership more relevant to forward deployed context |
| Intuit leads with 675M+ engagements / 275% YoY growth bullet | JD implies success metrics around customer ROI at scale; this is the strongest enterprise-scale proof point |
| Splunk reframed to emphasize customer-facing deployment speed and enterprise customer ROI | JD values fast deployment execution and direct customer outcome ownership |
| Kaiser condensed to 1 bullet focused on enterprise rollout to 200+ customers | Lower relevance role; 1 bullet preserves the deployment-at-scale signal without consuming space |
| IBM condensed to 1 bullet focused on customer-facing escalation resolution | Lowest relevance role; customer-facing problem solving is the only signal worth preserving |
| AutoEval project moved to lead the projects section | Most directly demonstrates AI agent pipeline repurposing for customer-facing automation — closest to Cresta's use case |
| Projects condensed to single bullets each | Space optimization for 2-page target while preserving all four projects |
| Section order: Experience → Projects → Education → Teaching → Additional | Customer-facing PM role values experience and AI projects over academic credentials; standard order appropriate |
JD analysis (18 key phrases)
Key phrases: AI Agent outcomesdeployment lifecyclepre-sale scopingpost-go-live optimizationforward deployedcustomer ROIautomation opportunitiesworkshops and design sessionsagent use cases, workflows, and success criteriacross-functionalcustomer relationshipssenior customer stakeholdersLLM-first productsbias for actionplaybooks for agent developmentconversational AIcustomer experiencetight feedback loop
Hard requirements:
- 5+ years in Technology Consulting, Implementations, Product, or Customer Success
- Experience with AI or LLM-first products
- Experience leading complex deployments and owning customer relationships
- Strong technical understanding and exposure to building Agents
- Comfortable with ambiguity in dynamic startup environment
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
Per-role mapping (7 roles scored)
| role | score | reframe angle | JD phrases that map |
|---|---|---|---|
| Streamio AI — Founder & CEO | 5/5 | Lead with multi-agent orchestration and customer-facing AI agent deployment; emphasize 0-to-1 ownership and customer discovery | AI Agent outcomes, deployment lifecycle, agent use cases, workflows, automation opportunities, bias for action, customer ROI |
| Fintellect AI — Founder & CEO | 4/5 | Emphasize conversational AI agents, LLM orchestration, and customer discovery/deployment | conversational AI, LLM-first products, agent use cases, customer relationships, automation opportunities |
| Intuit — Staff Product Manager | 4/5 | Emphasize enterprise-scale deployment ownership, cross-functional execution, and measurable customer outcomes | deployment lifecycle, customer ROI, cross-functional, senior customer stakeholders, post-go-live optimization |
| Splunk — Senior Product Manager | 3/5 | Emphasize customer-facing deployment and measurable outcomes for enterprise customers | customer relationships, customer ROI, cross-functional |
| Kaiser Permanente — SOA Technical PM | 2/5 | Condense to 1 bullet emphasizing enterprise deployment ownership | deployment lifecycle, customer relationships |
| IBM — Software Engineer | 2/5 | Keep 1 bullet; frame as customer-facing technical problem solving | customer relationships |
| Bank of America — Tech MBA Associate | 1/5 | Keep 1 bullet; minimal space | — |
Tailored summary
Forward Deployed Product Manager and AI Agent builder with 12+ years owning complex deployments end-to-end — from pre-sale scoping through post-go-live optimization. Designed and shipped multi-agent orchestration frameworks (OpenClaw) and domain-specific conversational AI agents across real estate, financial, and insurance verticals, with hands-on LLM orchestration across Claude, GPT-4, and Gemini. Scaled AI platform deployments to 675M+ engagements at Intuit, driving measurable customer ROI. NeurIPS published researcher; UC Berkeley engineering graduate.