Lead Agentic AI Design & Prototyping workshops for member organizations at Info - Tech, focusing on AI implementation. Collaborate with teams to prototype AI systems and provide advisory support.
About the role
- Lead AI product vision and execution at Datatrac's last-mile solutions. Drive commercialization and strategic partnerships to reshape courier operations with AI.
Responsibilities
- Set and execute the AI product vision for Datatrac.
- Expand AI-enabled order capture (email and phone agents) into a scalable, high-impact product line.
- Identify new AI-driven opportunities across dispatch, operations, customer service, and workflow automation.
- Translate customer pain points into technical product direction.
- Build the commercialization strategy for AI offerings.
- Partner with sales to position and sell AI solutions into the existing customer base and new logos.
- Own pricing, packaging, messaging, and competitive positioning.
- Be customer-facing and hands-on in early deals.
- Identify and execute partnerships across AI infrastructure, telephony, integrations, and ecosystem players.
- Leverage external capabilities to accelerate time to market.
- Collaborate closely with dedicated AI engineers within Datatrac.
- Translate business objectives into clear technical roadmaps.
- Prioritize ruthlessly and ship quickly.
- Use real-world deployment feedback to continuously improve the product.
- Wear multiple hats: product leader, operator, GTM driver, strategist.
- Travel on-site to customers to observe workflows and accelerate adoption.
- Move fast, test fast, iterate fast.
Requirements
- A strong hands-on technical background (engineering or equivalent deep technical experience).
- Demonstrated ability to ship AI-enabled products.
- Commercial instincts and real business acumen.
- Experience taking products from early-stage to scaled revenue.
- Comfort working directly with customers and sales teams.
- Exceptional communication and teamwork skills.
- Hustle, grit, and ownership mentality.
- Reviewing system architecture,
- Pitching a strategic customer,
- Designing a pricing model,
- And spending two days onsite understanding a courier’s operational bottlenecks.
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