I partner with organizations navigating transformation by building the strategies and programs that turn ambitious ideas and ambiguous problems into execution.
Today, much of my work centers on the AI transformation—helping businesses rethink how they operate, go to market, and grow. My experience spans building startups, working within FAANG, and leading GTM strategy for AI, data, and cloud businesses.
I also coach leaders to find clarity, build on their strengths, and lead effectively through change.
My advisory practice for GTM strategy engagements and executive coaching — deliberate, focused support for leaders and teams navigating growth and change.
Visit Tend To ↗Researcher-turned-GTM-executive, back in builder mode. Career, leadership, hot takes, and wine recs — I'm certified in coaching people and wine; the rest I claim no authority on.
The short version off the resume, and the longer one underneath it.
I believe in the T-shaped philosophy: deep expertise paired with the range to connect ideas, functions, and people.
I've intentionally built my career this way, drawing on a diverse path across science, startups, FAANG, GTM strategy, growth, operations, and coaching. That range allows me to see the whole system—and help organizations navigate complex transformations, including the shift to AI.
The professional throughline: take something technically complex, build the infrastructure around it, and scale it into revenue that compounds. Click a role to open it up, or switch views to see it by impact or by transformation.
Owned AI strategy and workflow transformation for the Applications GTM organization — building the commercial operating infrastructure, KPI framework, and launch governance that turned new AI capabilities into adopted product.
Designed and scaled the field-ready GTM motions, coaching infrastructure, and partner co-sell model that drove enterprise adoption of Confluent's streaming data and AI ecosystem.
Owned global GTM strategy and execution for AWS's AI, ML, and data platforms, translating prioritized use cases into scalable, field-ready sales motions.
Led GTM and onboarding programs for Amazon's selling partner ecosystem through a period of rapid scale.
GTM and product lead for an adaptive-learning edtech startup delivering personalized digital courseware for education and enterprise training.
Where it all started — before strategy and sales, a foundation in scientific research and rigor.
Built by translating prioritized AI/ML and data use cases into integrated global GTM motions like Prospecting Days, supported by standardized sales plays used by sellers and partners worldwide.
Delivered through standardized partner and field enablement programs, with 40% pipeline-to-revenue conversion and 2× higher close rates via co-sell.
At Anaplan — 85% of enterprise planning use cases — including launch gates, dependency sequencing, and executive steering cadence.
From scaling the FBA Partner Onboarding Program within 12 months, as Amazon's 3P business surpassed 50% of total units sold.
Built through new data-driven GTM infrastructure (Highspot, Gong), also lifting recurring usage to 81% and content freshness from 25% to 50%.
Actualized cost-savings from AI use cases across the GTM organization — outbounding, expansion, pipeline generation, and more — set through the enterprise-wide AI Readiness Program Charter, co-authored with IT leadership and grounded in a five-dimensional scoring model.
Turning AI capability into adopted, governed product across the GTM lifecycle.
At Anaplan, built the governance charter and scoring model behind $12M of actualized cost-savings from AI use cases, and took the Expansion Intelligence Agent from prototype to production. At AWS, translated AI/ML and data use cases into the global GTM motions that generated $4B+ in annual pipeline.
Rebuilding how field and partner teams sell complex, technical products.
Replaced ad hoc pitches with standardized, repeatable sales plays and co-sell infrastructure — the pattern behind $500M+ in annual pipeline at Confluent and the global playbooks and campaign kits behind $4B+ at AWS.
Building the infrastructure that let a marketplace scale through explosive growth.
Built the onboarding and support infrastructure that carried Amazon's selling partner ecosystem through a period where third-party sales surpassed 50% of total units sold — driving $50M+ in incremental GMV and cutting time-to-first-sale by ~40%.
Helping individuals and teams find clarity and build around their natural strengths.
Built Coursera's first formal enablement function and commercialized its first AI learning bundles, lifting sales-play adoption to 92%. Alongside that, coaching work grounded in Gallup CliftonStrengths — the same strengths-led thinking that shapes how I approach team design today.
An agentic workflow for signal detection and opportunity mapping, taken from prototype to production with human-in-the-loop checkpoints.
Enterprise governance structure and scoring model built with IT leadership, driving $12M of actualized cost-savings from AI use cases across the GTM organization.
An AI-powered outbound engine giving sellers and partners targeted messaging and account prioritization.
AWS's global readiness program, built to sharpen technical proficiency and commercial messaging for AI and data services.
Delta Lake and Unity Catalog integrations paired with a joint co-sell play — Partner of the Year recognition.
Commercialized Coursera's first AI learning bundles across B2B and B2C — feeding into the ChatGPT integration.
A working collection — case studies, product concepts, and programs I've led or designed. This section is still being filled in, so consider these placeholders for now.
Add a short description here — what it is, who it's for, and what you designed or led.
Add a short description here — what it is, who it's for, and what you designed or led.
Add a short description here — what it is, who it's for, and what you designed or led.
Add a short description here — what it is, who it's for, and what you designed or led.
Ten years of building GTM systems has left me with a few repeatable ways of thinking about growth. Click through each step below — these are starting points, pulled from real programs, for you to reshape into your own voice.
A five-dimension way to score whether a team, product, or org is actually ready for an AI capability — not just excited about it. Useful anywhere "we should use AI for this" needs a gut check.
A repeatable structure for turning a product capability into something a seller or partner can actually pick up and use — the pattern behind $500M+ in pipeline at Confluent.
A way of building teams and roadmaps around what people are naturally good at, instead of around a generic job description — the throughline between the coaching work and the GTM work.
— more frameworks coming as I write them down —
Click through — this is the part of me that doesn't show up on a resume.
Helping people find and use their strengths, on and off the clock. I'm a certified Gallup Strengths Coach, and it's the thread that runs under all of my GTM work too — building teams and roles around what people are naturally good at.
Slowly working my way through the world of wine, one region at a time — currently deep in natural and orange wines. I write about it (along with career and AI musings) in my newsletter, Beginner Again.
A soft spot for edtech and lifelong learning — it's where my GTM career actually started, building GTM motions for an adaptive-learning startup and later commercializing AI learning products at Coursera.
Bringing GTM and strategy thinking to causes that need it most — the same operating discipline that scales enterprise revenue can help a mission-driven org do more with less.
The most important member of the team. Opinions on walks, wine, and everything in between.
My newsletter on AI, career, and wine — a little spicy and irreverent, like a good Syrah.