The Role :

We need an AI Product Manager who sits at the intersection of deep AI product thinking and go-to-market execution.

You will own the ARIA agent roadmap, drive enterprise adoption, and work directly with the CPTO who codes to ship meaningful features in days, not sprints. This is not a role you grow into. You already know how to build and launch AI products.

What You'll Do :

AI Product Ownership :

- Own the end-to-end roadmap for ARIA Fast, ARIA Deep, and Social Persona agents

- Drive product decisions around LLMs, RAG pipelines, fine-tuning, and agentic workflows

- Define how multi-modal AI (audio + visual + text) improves insight accuracy and speed

- Translate enterprise research questions into features that ship in days

Go-To-Market :

- Shape positioning, messaging, and pricing for ConvoTrack's AI product suite

- Partner with sales and marketing to accelerate pipeline and enterprise adoption

- Turn market signals and client feedback into clear product direction

Execution :

- Prototype and validate ideas fast ideally you can build a proof of concept yourself

- Talk to users (CMI heads, brand managers at Fortune 500s) and turn chaos into clarity

- Work directly with engineers who ship like founders; balance speed with quality

What We're Looking For :

Must-Have :

- Proven track record shipping AI/ML products LLMs, agentic systems, NLP, or vision

- Deep understanding of transformers, embeddings, fine-tuning, and RAG not surface-level

- GTM experience : positioning, pricing, channel strategy, and adoption metrics

- Working knowledge of at least one programming language (Python preferred)

- Ability to turn ambiguous problems into product decisions quickly

Good To Have :

- Hands-on with agentic AI frameworks (LangChain, AutoGen, CrewAI, or similar)

- Background in consumer research, CPG/FMCG, or social analytics

- Experience in a zero-to-one or founding team environment

- Engineering or technical degree from a Tier 1 institution

Why Join :

- Work with a CPTO who codes no layers between your ideas and engineering

- Real clients, real scale your product drives billion-dollar decisions at Unilever, P&G

- Category-defining space no dominant player in video-native consumer intelligence yet

- Small team (~132 people), startup pace, enterprise credibility

- Ownership and impact from Day 1