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Go-to-Market Leader | Building Repeatable Revenue for AI and SaaS Startups
I translate technical innovation into scalable, go-to-market strategies that customers understand—and buy. I’ve led pricing, packaging, and positioning efforts that have generated over $24 million in revenue, working closely with product, engineering, and customer success to turn early traction into repeatable growth. Colleagues describe me as a systems thinker who builds trust quickly, solves high-impact problems, and creates momentum across teams. My north stars are simple: create value and help others. I’m customer-obsessed, allergic to over-promising, and happiest when the whole machine is humming. Who I Help — And What They’ve Gained 📊 Growth-Stage SaaS Companies → $24M+ in new sales, 2.6x ACV growth, and churn reduced from 28% to 8% by designing pricing models and GTM strategies that turn technical products into scalable revenue engines. 🧠 AI Startups → 10x increase in M&A deal flow capacity and faster product-market validation by aligning product, sales, and technical teams to real-world enterprise use cases. 🏦 Enterprise Financial Institutions (e.g., BofA, JPM, Citi) → $1.2M+ contracts and multi-year relationships won by translating complex product offerings into compliant, value-aligned solutions for highly regulated environments. 🧑🏻💻 Founders & Product Teams → Accelerated launch velocity and monetization clarity through early GTM architecture, pricing experimentation, and sales narrative development that resonates with buyers. 📈 Sales Teams & Revenue Leaders → 122% average quota attainment and #1 sales rep driven by consultative selling, technical fluency, and tailored enablement aligned to product maturity and customer needs. Outside of work, you'll find me playing chess, cycling through new ideas on a long ride, or cooking for friends like I’m hosting a private dinner. I also ski, golf, and rarely say no
University of Wisconsin-Madison
Bachelor of Business Administration (B.B.A.), Finance, Investment, and Banking
N/A – Present
University of Wisconsin-Madison
Bachelor of Arts (BA), Economics
N/A – Present
Vertesia
Vice President of Sales
August 1, 2025 – Present
Jackson, Wyoming, United States · Remote
Self Employed
GTM Advisor
October 1, 2024 – August 1, 2025
New York, New York, United States · Hybrid
Arkifi
GTM Advisor
April 1, 2024 – October 1, 2024
San Francisco, California, United States · Hybrid
Parse AI
GTM Advisor
June 1, 2022 – October 1, 2024
New York, New York, United States · Hybrid
Plotly
VP, Go-to-Market, Financial Services
May 1, 2021 – October 1, 2024
Jackson, Wyoming, United States · Hybrid
Techstars
Independent Research & Product Development
January 1, 2020 – June 1, 2022
Remote
TIBCO
Global Sales Director - Machine Learning & Data Science
November 1, 2017 – December 1, 2019
Greater New York City Area · Hybrid
TIBCO
Vice President, Head of Financial Services at Alpine Data
October 1, 2015 – November 1, 2017
Greater New York City Area · Hybrid
AYASDI
Sales Director
January 1, 2014 – January 1, 2015
New York City and San Francisco · Hybrid
Thomson Reuters
Client Specialist, Asset Management
January 1, 2011 – January 1, 2013
On-site
Thomson Reuters
Senior Consultant
January 1, 2009 – January 1, 2011
On-site
Bank of America
Investment Banking Analyst
January 1, 2006 – January 1, 2008
New York, NY · On-site
Citigroup
Investment Banking Analyst
January 1, 2005 – January 1, 2006
New York, NY · On-site
Chartered Financial Analyst (CFA)
CFA Institute
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory is heavily focused on sales, GTM, and business advisory roles, with a strong emphasis on financial services and AI/analytics. While they have experience working with technical teams (e.g., CTO at Arkifi, structuring training data for LLMs at Parse AI), and some independent product development (Python, predictive analytics at Techstars), their primary expertise is not in software engineering. The target role 'Software Engineer' does not align well with their professional background, which is predominantly commercial and strategic. The breadth of skills is strong in business and sales, but narrow in core software engineering disciplines.
Soft Skills & Operational Fit
The candidate's extensive experience in sales leadership, GTM strategy, and client management suggests strong communication, negotiation, and strategic thinking skills. Their advisory roles indicate an ability to influence and guide founding teams. The independent research and product development experience at Techstars, where they taught themselves Python and prototyped models, demonstrates initiative, problem-solving, and a self-starter mentality. However, the operational fit for a pure 'Software Engineer' role is limited given the primary focus on sales and GTM.