Albert Chan | Enterprise Sales Manager, Energy | OpenAI
Albert Chan, Enterprise Sales Manager, Energy candidate
Albert Chan Seattle, Washington
Current Energy AI work 6 organizations

Candidate application

Albert Chan

Enterprise Sales Manager, Energy at OpenAI

Chevron MineralWare Iron Mountain SM Energy Raisa Teocalli

For the past 3 years, I have advised land and Energy companies, including Rowland AI and Paramount, on AI adoption and product builds. At Rowland AI, I lead customized enterprise AI deployments, supported by 22+ years building sales teams and growing strategic accounts.

At Rowland AI, I own customer discovery, solution design, commercial alignment, and production adoption for a consumption-based platform. One back-office workflow improved division order processing efficiency by 75%, increased document throughput by 3.5X, and reduced processing time from 30 minutes to 7 minutes per document.

Meta, Google, and Tickr add sales-team development, complex enterprise accounts, disciplined forecasting, and new go-to-market motions. Rowland adds direct Energy customer work and hands-on technical fluency across OpenAI and Claude APIs.

75% Division order efficiency gain
3.5X Faster document throughput
30→7 Minutes per document
20+ Enterprise AI use cases
3 Years advising land and Energy

Three years advising Energy companies, backed by scaled sales leadership.

This role calls for Energy sector knowledge, enterprise platform fluency, team development, complex account leadership, and operating rigor. My experience brings those capabilities together through a 3-year advisory track, current deployments, and a 22-year commercial record.

01

Energy sector depth

Current work inside Energy operations

OpenAI needs a leader who understands how Energy organizations evaluate emerging platforms across operational, technical, and commercial priorities.

Evidence For the past 3 years, I have advised land and Energy companies, including Rowland AI and Paramount, on AI adoption and product builds. Current Rowland work spans 6 organizations.
02

Measurable customer outcomes

Operational value before expansion

Asset-intensive customers need a credible value case tied to throughput, reliability, time, and operating cost before broader adoption.

Evidence A Rowland OCR workflow improved division order processing efficiency by 75%, increased throughput by 3.5X, and reduced document time from 30 minutes to 7 minutes.
03

Team building and coaching

Sales organizations that scale

The manager must recruit strong Account Directors, coach complex deals, and connect individual execution with clear operating goals.

Evidence At Tickr, I scaled the revenue organization from 5 to 50 across sales, account management, customer success, alliances, and marketing.
04

Operating rigor

Pipeline discipline and accountability

Energy GTM needs clear territory choices, account plans, accurate forecasts, and structured inspection across multi-threaded opportunities.

Evidence At Tickr, I expanded qualified pipeline from under 10 to over 200 opportunities and grew ARR from $4M to $11M in under 12 months.
05

Enterprise AI fluency

Technical and commercial translation

Customers need a sales leader who can connect APIs, agent workflows, data, evaluations, integrations, guardrails, and adoption to executive outcomes.

Evidence At Rowland AI, I built OpenAI and Claude API workflows with evaluations, tool integrations, and guardrails across 20+ enterprise use cases.
06

New GTM motions

Early adoption that reaches production

OpenAI needs structured learning from early customer work, followed by repeatable commercial motions that support wider platform adoption.

Evidence I signed 3 Rowland enterprise pilots and converted 100% to production deployments within the first 3 months.

A career connecting customer operations, technology, and growth.

Each role adds evidence for OpenAI 's Energy motion across direct industry work, enterprise sales, organization building, strategic accounts, technical adoption, and accountable execution.

Rowland AI 2026-Present

President and Chief AI Officer

I lead go-to-market, commercial execution, solution design, and production adoption for a consumption-based enterprise AI platform serving Energy and land customers. This role builds on 3 years advising land and Energy companies, including Rowland AI and Paramount, on AI adoption and product builds. Current work includes customized back-office solutions across Chevron, MineralWare, Iron Mountain, SM Energy, Raisa, and Teocalli.

3-year Energy advisory Consumption platform Production AI
Meta 2022-May 2026

North America Sales Director, Small Business Group

I managed Meta 's $30B+ North America advertiser revenue book through 5 BPO vendor partners with 400 vendor-employed sellers serving 100K+ advertisers. The business delivered 30% annual growth and 105% quota attainment. That scale demanded forecast discipline, performance coaching, customer feedback, and cross-functional accountability.

$30B+ revenue Sales leadership Forecast discipline
Tickr 2021-2022

Chief Revenue Officer

As first CRO for a venture-backed enterprise AI company, I built the commercial operating system, grew ARR from $4M to $11M, and expanded pipeline from under 10 to over 200 opportunities. I also scaled the revenue organization from 5 to 50, which provides a relevant model for recruiting, coaching, and developing senior sellers.

Enterprise platform 3X ARR Team scale
Google 2014-2021

Country Head and Head of Industry

I led enterprise sales, market strategy, and complex partnerships across eCommerce, retail, YouTube, Japan, and Korea. I grew North America eCommerce and Retail revenue from $140M to $410M and signed Google 's first global joint business partnership with eBay. This work required executive alignment, territory strategy, product partnership, and disciplined account growth.

Strategic accounts Global GTM Product partnership
Procter &Gamble 2004-2014

Director, Customer Business Development

I led national sales, digital commerce, P &L ownership, and joint business planning across major retail and platform partners. I managed $265M in revenue and a $75M P &L while delivering the fastest North America growth in Beauty Care. This operating background shaped a customer-first approach to adoption, investment, and accountable outcomes.

$75M P &L Joint planning Customer operations

How I would build OpenAI 's Energy sales motion.

01

Segment the Energy opportunity

Set subsector priorities across utilities, oil and gas, renewables, power generation, and services using account potential, workflow readiness, data access, and executive sponsorship.

02

Build the Account Director team

Recruit sellers with industry credibility, platform fluency, executive presence, and the discipline to develop multi-threaded strategic accounts.

03

Coach the whole opportunity

Use deal reviews, account strategy sessions, ride-alongs, and structured 1:1s to connect customer problems, technical architecture, commercial value, and close plans.

04

Prove value with operating measures

Define each deployment baseline before the pilot begins, then track cycle time, throughput, reliability, productivity, adoption, and expansion evidence.

05

Connect customer signal to product

Give Product, Solutions Architecture, Technical Success, Legal, Security, Finance, and policy teams structured feedback on blockers, governance needs, and repeatable integration patterns.

06

Install forecast discipline

Run clear account plans, pipeline inspection, territory reviews, forecast calls, and performance coaching across every stage of the Energy motion.

Experience shaped across

Procter &Gamble Google Meta Tickr Harvard
I want to help Energy operators turn OpenAI 's platform into safer, faster workflows with measurable gains across their organizations.

Albert Chan, Seattle, Washington