What we're missing is a single technical leader who owns the AI conversation externally with customer CIOs and enterprise architects, with AWS account teams, on stage, and in print. Our CTO runs platform, delivery, and engineering excellence. Our CRO owns revenue. We need a peer to both who is the public face of Avahi's AI point of view and who runs the field and solutions team that converts strategic conversations into signed work.
This is not a hands-on-keyboard role. It is a senior technical leader who has shipped enough real AI systems to be credible at depth, can hold a Fortune 500 CIO's attention for an hour, and runs a team that turns that conversation into a closed deal.
What you'll own
- AI GTM strategy. Define Avahi's AI/GenAI go-to-market, including which industries, which use cases, which buyer personas, and which AWS services we lead with. Refresh quarterly.
- Customer-facing AI advisory. Be the senior technical voice in our largest enterprise pursuits. Lead AI strategy conversations with customer CXOs and enterprise architects. Translate AI hype into deployable architecture.
- AWS-facing evangelism. Build deep relationships with AWS solutions architects, partner managers, and AI specialist teams. Make sure Avahi is in the room when AWS sellers scope AI opportunities. Speak at re:Invent, Summits, and partner forums.
- External thought leadership. Author Avahi's AI point of view in long-form (whitepapers, AWS co-authored content), short-form (LinkedIn, conference keynotes), and on stage. Be quotable.
- Solutions Engineering & AI Pre-Sales leadership. Own the team that builds demos, runs POCs, and supports sales technically. Raise the bar on what we put in front of customers and how fast we move.
- Demo and reference architecture portfolio. Build a living library of working AI demos and reference architectures that customers and AWS sellers actually want to see.
- Partnership with CTO and CRO. Co-own the seam between platform engineering and revenue execution. Make sure what we sell is what we can build.
What we're looking for
- 15+ years in enterprise technology, with the last 5+ focused on AI/ML, GenAI, or applied data science at scale. You've shipped real systems, even if you don't write production code anymore.
- Field CTO, Principal SA, or VP-level customer-facing experience at AWS, another hyperscaler, an AI platform company (Databricks, Snowflake, OpenAI, Anthropic, Cohere), or a top-tier consultancy. You know what a great enterprise AI conversation feels like because you've led hundreds of them.
- Deep AWS fluency. You know the AWS AI/ML stack (Bedrock, SageMaker, Q, agentic services) at architectural depth. You have a working network inside AWS partner and AI/ML teams.
- Executive presence. You can hold a room with a Fortune 500 CIO and a room of 500 conference attendees. Customers ask for you by name on the next call.
- Proven team leader. You've built and run technical pre-sales or solutions engineering teams of 10 to 30 people. You hire well, coach hard, and people stay.
- Startup Founder/Business fluency. You read a P&L, understand services unit economics, and can have a real conversation about deal margin, utilization, and pipeline shape, not just technology.
- Bias to ship. Prototypes over polish. POCs over decks. You don't need a perfect slide to start a conversation.
Nice to have
- Services or consulting leadership experience at scale
- Published author, recognized conference speaker, or industry voice in AI/ML
- Existing relationships with AWS AI/ML partner leadership
- Experience selling into regulated industries (healthcare, financial services)
Join Avahi and make an impact in a fast-paced, customer-focused environment with abundant opportunities for growth.