Question 1

Who is Agam Arora?

Accepted Answer

Agam Arora is an AI Product Manager and engineer-PM. Twelve years shipping product across analytics, gaming, D2C retail, logistics, and AI. Currently Principal Product Manager (AI) at UKG, working on time and labor within workforce management.

Question 2

Where does Agam Arora work?

Accepted Answer

Principal Product Manager, AI at UKG since June 2026, working on time and labor within workforce management. Previously AVP, AI Products at AIonOS (Jun 2024 to May 2026), where he ran a B2B voice AI platform handling 4M+ calls per year at half the market cost-per-minute.

Question 3

What is Agam Arora's experience with voice AI?

Accepted Answer

At AIonOS, Agam led product for a vertical Voice AI platform handling 4M+ calls/year at 50% lower cost-per-minute than industry benchmarks. Three verticals shipped with Fortune 500 engagements. He has written extensively on voice AI craft and the production realities of shipping voice agents to enterprise.

Question 4

What is Agam Arora's experience with B2B AI product management?

Accepted Answer

Eight-plus years in B2B product, including delivering 15+ AI POCs across RAG, voice, and agentic systems driving $1.5M+ in enterprise deals at AIonOS. Before that, Lead PM on FarEye's flagship data product ANALYZE ($1M ARR in 18 months, 35% upsell, NPS 3.6 to 4.7). Currently Principal PM, AI at UKG on workforce management.

Question 5

What products and projects has Agam Arora shipped?

Accepted Answer

Enterprise customer-experience platform at AIonOS (4M+ calls/year, multi-modal multi-lingual conversation management). ANALYZE data product at FarEye ($1M ARR). Open source: second-brain (git-native AI memory template), deep-research (multi-agent Claude Code skill), AI Resume (agent-to-agent resume template), Shararat (voice AI experiment), minibot (home server guide), TTFT (typing experiment), Claude Code Resource Monitor.

Question 6

Where can I see Agam Arora's resume?

Accepted Answer

Full resume at https://agamarora.com/resume/ (browseable HTML) or https://agamarora.com/resume.md (plain markdown, machine-readable). Machine-readable career data: https://agamarora.com/.well-known/ai-resume.json. LinkedIn: https://linkedin.com/in/agamarora.

Question 7

How do I contact Agam Arora?

Accepted Answer

Email: reachme.agam@gmail.com. Book 15 minutes: https://calendly.com/agamarora/chat. LinkedIn DM: https://linkedin.com/in/agamarora. Or use the live AI agent at https://agamarora.com/enter/ to ask anything about his work first.

Question 8

What is Agam Arora's writing about?

Accepted Answer

Twelve themes and nineteen Tier-1 beliefs on AI product management, hand-authored, browseable as a graph at https://agamarora.com/wiki/. Themes include agent-first thesis, voice AI craft, breadth as differentiation, PM taste, what AI PM actually requires, enterprise AI reality, second-brain architecture, spec-first taste, IC career path, LinkedIn as instrument, and personal projects.