
Charlie G.
5.0
(8)
Studied at UC Berkeley
Works at Salesforce
Successful clients at
Available tomorrow at 5:00 PM UTC
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Work Experience
Incoming Associate Product Manager
Salesforce
October 2025 - Present
Associate Product Manager Intern
ServiceNow
May 2025 - Present
APM on the Release Programs team - overseeing cross-functional collaboration across 10+ teams to enable our Zurich product launch for 8K+ enterprise customers, worth $4B+ in contracts • Led 0-to-1 launch of Product Analytics tool from wireframing to release, streamlining our product development workflow, saving 4K+ stakeholders 10K+ hours annually • Launched data transfer automation product for internal ServiceNow instances, achieving 15x faster transfer speeds • Analyzed 3M+ rows of product telemetry data using PowerBI, used to help 15+ engineering and design teams guide data-driven decisions to identify and prioritize key bug fixes

Data Analytics
Haas School of Business, UC Berkeley
May 2024 - Present
UC Berkeley's Executive Product Management Program attracts PMs worldwide who wish to grow their skills. There are 20 years of survey data from thousands of executives and their team members, which I analyze to uncover insights that strengthen our Program and individual PMs. • Analyze 20 years' and 17K+ lines of Excel data spanning 1450+ PMs, identifying the optimal leadership and team characteristics that maximize innovation and team success. These insights are used to strengthen the program's curriculum for 400+ PMs yearly • Create 20+ data visualizations depicting patterns in product management skills and team success using data analytics/visualization tools like NumPy, pandas, and seaborn, to help teams enhance performance Pandas (Software), Matplotlib and +3 skills

Product Management Intern
Capital One
June 2024 - August 2024
I worked on DevAssist, an AI-powered coding tool for engineers. I established the product foundation by interviewing dozens of customers to identify unmet needs, and synthesizing findings into clear product requirements. Working directly with engineering and Capital One Ventures, we developed features and evaluated build-versus-buy trade-offs across multiple AI coding platforms. I helped craft our first PRD and communicate the value of DevAssist to our SVP, securing support to move forward with MVP development. • Launched DevAssist to 15K engineers to assist with software development tasks, saving developers 100K+ hours per year, translating into $15M in cost savings • Wrote first PRD and roadmap while collaborating across 4 teams and 30 stakeholders to ideate new Developer Assist features • Presented PRD to Senior VPs to secure buy-in to launch an MVP
Lead Venture Partner
Critical Ventures
October 2023 - August 2024
As a Venture Lead, I helped source promising startups in one of the nation's most vibrant startup ecosystems. The process taught me more about entrepreneurship, PMF, and evaluating ideas. • Scouted 40+ startups and hosted 3 founder events to identify companies tackling today's most critical issues • Learned due diligence, VC, and entrepreneurship from Wharton professors
Technical Product Manager
Diageo
January 2024 - May 2024
Diageo is the world's largest premium beverage supplier with 200+ brands (Johnnie Walker, Guiness, Smirnoff, etc). As a PM, I identified a major inefficiency in how their beverage production schedules were being constructed and led a team of 5 engineers to build an improved scheduling algorithm using graph theory and machine learning. This improved algorithm is now being implemented into their entire supply chain and saving ~1.5M gallons/year on average. • Built a proprietary production scheduling algorithm that saves ~1.5M gallons of water per year to compute the beverage production schedule that minimizes water usage • Trained a machine learning model in scikit-learn that uses Diageo's beverage and cleaning data to predict where inefficiencies will arise in their supply chain to improve production efficiency by 20% • Created documentation and tutorials to help non-technical stakeholders learn how to use the algorithm, easing adoption by 40% Scikit-Learn, Graph Theory and +3 skills
Charlie was also given offers to work at
Cisco

Persona
Education
UC Berkeley
B.S., Electrical Engineering and Computer Science
2022 - 2026
Activities and societies: Regents' and Chancellor's Association, Management, Entrepreneurship and Technology (MET) Program (<1% acceptance rate)
University of California, Berkeley
B.S., Business Administration
2022 - 2026
Activities and societies: Regents' and Chancellor's Association, Management, Entrepreneurship and Technology (MET) Program (<1% acceptance rate)
8 Reviews
Overall Rating
5.0
Charlie has helped clients get into these companies: