The Reality
150+ voice agents live. 1,000 concurrent calls. 45M user ecosystem. Vietnam's largest digital bank running AI-first operations, targeting 70% AI workforce by 2027. You'll own the agentic product stack from pre-sales to productionnot build demos, ship revenue-generating systems customers pay for.
What You'll Do
- Listen: Extract requirements from 20+ business units + external banking clients across full customer journeyonboarding, lending, collections, support, fraud, retention.
- Translate: Convert the bot sounds robotic into engineering specs. Shape product features across voice agents, LLM orchestration, ASR/TTS, vision models, RAG, function-calling.
- Ship: Own product quality for agentic systems at scale. Support BD in pre-sales demos and customization. Commit deliverables with engineering, data science, BD teams.
- Bridge business needs and technical execution. No PM layersyou talk directly to customers and engineers.
Must-Haves
- Product sense for AI agents: You assess what makes voice interactions good vs great. You've debugged why users hate your AI at 2am.
- Customer-facing: You demo, customize, close. Pre-sales is 30% of your week.
- Cross-functional leadership: Led without authority. Influenced BD, engineering, ops through clarity, not hierarchy.
- Shipped production AI: Built features customers paid incremental money for. Understand P&L impactcost savings + revenue, not vanity metrics.
- Exponential Bonus (Stack Multipliers)
- 3x: B2B banking/fintech products
- 2x: eKYC, credit scoring, voice AI, chatbots
- 5x: Scaled agentic systems to 1k+ CCU
Tech Stack You'll Shape
- ASR/TTS engines. LLM orchestration (multi-turn, interruption handling). Vision models (doc verification). RAG pipelines. Function-calling. Voice biometrics. Real-time scalability.
Why This Matters
- Scale: 45M users. Full customer journey coverageacquisition to retention. Hundreds of use cases for agentic AI, not single touchpoint.
- Infrastructure: Already at 1k CCU, scaling to 10k+. Production-hardened, not experimental.
- Impact: Report to Chief AI Officer. Shape Southeast Asia's leading AI bank strategy. Real P&L ownership.
- Ecosystem: Multiple business units, external banking clients. Enterprise B2B + consumer scale simultaneously.
You're Not Right If
- You publish papers > ship products
- You need process > outcomes
- You've built POCs, not production systems customers paid for
- AI strategy means slide decks, not code
Logistics
- Location: Ho Chi Minh City, Vietnam
- Reports to: Chief Data Science & AI Officer
- Team: Product managers, ML engineers, voice specialists
- Travel: 20% (client meetings, regional expansion)
