Applied AI: Product Strategy & Revenue Lead
Tasks
- Build business case and technical wedge
- Convert deployments into long term platform revenue
- Coordinate internal workstreams across teams
- Create positioning sales narratives decks and case studies
- Create repeatable product narratives and packaging
- Define reference architectures and use cases
- Define technical scope for proposals
- Draft proposals scopes and commercial structures
- Evaluate which evals environments and agent workflows matter commercially
- Identify patterns across customer conversations
- Own customer opportunity lifecycle from discovery to expansion
- Partner with Applied Research to prioritize customer-facing work
- Run customer discovery with technical and executive stakeholders
- Support POC scoping and procurement readiness
- Translate customer needs into product strategy
Perks/Benefits
- N/A
Skills/Tech-stack
Agent workflows | Artificial Intelligence | Business case | Business case development | Case Development | Commercial Strategy | Customer discovery | Enterprise Sales | Evaluation | Fine Tuning | GTM messaging | Go-to-market | LLM post training | Machine Learning | Post-training | Procurement | Product Strategy | Program Management | Proposal Writing | Reinforcement Learning | Scope definition | Supervised Fine Tuning | Technical Scope | Technical program management | Technical scope definition
Education
N/A
Regions
Countries
States
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