Fraction AI

AI Engineer

• Run discovery & design workshops with enterprise prospects, surfacing high‑impact gen AI opportunities, building high-level roadmaps, and defining requirements.
• Architect robust AI solutions, articulate trade‑offs, and make recommendations on tools and technologies.
• Define the scope of implementation projects including timelines, upfront and ongoing cost projections, and risks.
• Develop mockups and prototypes so clients can visualize the future state before committing to a full build.
• Serve as a technical advisor and thought partner to clients, including providing insights on trends and the evolving technology landscape.
• Produce persuasive artifacts including technical briefs, current‑vs‑future process flow diagrams, and a rock‑solid hand‑off package for our delivery teams.
• Bring automation to our GTM motion wherever you see opportunity.

AI Architect – Enterprise

Engineer

• Design and develop custom AI solutions tailored to the unique needs of our customers.
• Partner with a high-caliber team across the full project lifecycle.
• Actively shape our engineering and broader company culture.

Forward-Deployed Engineer – Enterprise

Product Manager

• Own the customer relationship end-to-end.
• Act as the customer’s day-to-day strategic partner and primary point of contact.
• Join early-stage calls, run discovery, synthesize feedback, and keep customers aligned on what we’re building and why.
• Build trusted relationships across all levels of an organization, setting clear expectations and being candid about tradeoffs.
• Define product builds, refine and sequence scope, and identify the highest-leverage use cases.
• Translate ambiguous business problems into crisp problem statements, user journeys, and success metrics.
• Work with customers to define what “success” actually means—then design experiments, KPIs, and dashboards to prove it.
• Translate ambiguous customer needs into clear requirements, PRDs, and plans for engineers.
• Shape workflows, edge cases, evaluation criteria, and deployment success metrics for AI-powered systems.
• Run the day-to-day execution rhythm: stand-ups, planning, check-ins, risk/issue tracking, and runway management.
• Own timelines and delivery quality—getting projects across the finish line consistently and calmly, even when things change late.

AI Architect – Enterprise

Forward-Deployed Engineer – Enterprise

Forward Deployed Product Manager – Enterprise