Work

Each story is written as a one-page brief: the client, the real problem, what I did and what changed. Client names stay private.

Energy

Client: A global utility's Latin American operations
Problem: Utilities buy slowly and rarely switch vendors. The challenge was turning a single foothold into a relationship that spans markets.
Moves: Led with one focused solution, delivered it well, then used the result as the reference that opened the next market, and the one after that.
Result: Two markets closed and a third in progress from one first sale. Lead generation grew 30% against a 10% target; new opportunities grew 62% against 50%.
Where AI fits today: Today I would use AI to map every adjacent business unit, draft market-specific cases from the first win, and track account health weekly instead of quarterly.

Hospitality

Client: A corporate hospitality operator
Problem: Hospitality operators live on thin margins and high staff turnover. Any new platform has to prove it saves time on day one.
Moves: As co-founder of Nrolled, led the relationship from first conversation to signed contract, framing the platform around the operator's staffing pain rather than features.
Result: A 66K ACV contract for Nrolled's CRM and workforce-management platform.
Where AI fits today: The platform itself uses AI for workforce operations, so the pitch was about what changes on the floor, not about the technology.

Tech

Client: A B2B industrial software company
Problem: A strong engineering product with almost no marketing engine behind it. Prospect meetings were close to zero.
Moves: Took over marketing alongside sales: budget, agencies, campaigns, website, content and two trade shows a year, run by a seven-person sales and marketing team.
Result: Prospect meetings went from zero to three or four a week.
Where AI fits today: The same team today would use AI for account research, first-draft content and lead scoring, freeing people for the conversations that close.