Responsibilities
- Oversee the full portfolio of AI platform capabilities, including AI-enhanced user interfaces, autonomous agent systems, and AI-powered data workflows.
- Guide internal AI features from early testing to production, setting release standards, refining prompts, defining performance benchmarks, and determining customer readiness.
- Establish and manage the organization's AI investment strategy, including key performance indicators, deployment criteria, cost controls, and research priorities.
- Coordinate beta programs for agent-based applications across diverse customer groups.
- Develop and execute the long-term product vision for autonomous agents, beginning with current infrastructure and expanding into native support for critical workflows by 2026, with a strategic outlook through 2027.
- Enable sales and customer success teams to effectively communicate the AI platform’s value proposition.
- Identify and prioritize platform capabilities that enable new business opportunities, partnerships, and enterprise revenue growth.
- Clarify requirements for complex technical infrastructure projects and align investments with market demands.
- Collaborate with go-to-market and customer success teams to drive adoption and expansion among vendor customers.
- Support the creation of use cases, customer segmentation models, and field training programs to win high-value enterprise deals.
Responsibilities
- Own the complete AI platform portfolio across three categories: AI-enabled UX, AI agents (MCP/agentic automation), and AI in data processing.
- Drive embedded AI features from internal alpha through production — managing rollout criteria, prompt iteration, success rate thresholds, and the decision framework for when each feature is ready for customer availability.
- Define and maintain Redox's AI investment framework: KPIs, rollout criteria, cost guidelines, and the research agenda for what we still need to learn (monitoring, agentic loops, RAG, re-prompting).
- Manage beta relationships for agentic use cases across multiple customer segments.
- Lead Redox's agentic product strategy — starting with the MCP Server as the current foundation, expanding into native agent support for high-value customer workflows throughout 2026, with a clear 2027 vision & roadmap.
- Equip sales and CS to position Redox's AI platform story accurately.
- Scope and drive overall platform features required to unlock new use case, channel partnerships, & commercial success in the Enterprise customer base.
- Ensure complex infrastructure work (VPN configurations, multi-tenant patterns, integration partner requirements) is scoped clearly and investments are made with commercial need.
- Partner with GTM & Customer Success to enable vendor customer growth (both new business and expansion).
- Contribute to use case development, customer segmentation, & field enablement to close high-value Enterprise vendor deals.
