Chris SergerAI-GTM · Field Engineering · Enterprise Adoption

ChrisSerger

Technical GTM and field engineering leader for AI and platform companies.

I turn frontier AI capability into trusted enterprise adoption and revenue: building buyer confidence, scaling field teams, shaping build/buy/acquire judgment, and shipping the operating systems that make adoption repeatable.

01

Executive Summary

My pattern is consistent: get close to customer reality, find the AI adoption bottleneck, build the motion, then scale the people and systems behind it.

Career arcDigital marketer and agency operator → ExactTarget practice builder → top global SE → solutions executive.
AI operating modelScout the tool, prove the workflow, quantify the field impact, then turn adoption into a repeatable field motion.
Executive rangeBuyer trust, technical win strategy, field-team scale, roadmap direction, strategic tool selection, and M&A input.
DifferentiatorExecutive altitude with builder-level judgment: agentic systems, native apps, demo infrastructure, and product-shaped GTM.
02

Systems I Build

I lead at enterprise altitude, but I still build close to the metal: agentic systems, field workflows, native apps, marketing engines, and public products.

Operating pattern

Practical AI starts with a real adoption bottleneck: demo prep, customer relevance, executive memory, content operations, native workflow, or product launch.

I model the workflow, ship or sponsor the system, then scale the behavior around it.

How to read this

This is not a product catalog. It is evidence of range: agentic systems, native apps, content engines, consumer UX, and field tooling.

Availability

Most examples are private working systems built for my own operating model, family businesses, or small trusted groups.

Public / shareable: AI Chief of Staff / Claudia, Stadium Stars, and Bizword Bingo.

Enterprise AI-GTM systems

Field reality turned into adoption systems, demo leverage, roadmap direction, and build/buy/acquire judgment.

Field Operating Systems

Built the operating backbone for a 65-person SE org: capacity planning, customer audits, solution reviews, enablement, and leader-level inspection rhythm.

Capacity · audits · solution reviews · enablement

Demo Personalization at Scale

Identified the Saleo bottleneck, sponsored the pilot, and scaled live personalization into a global standard demo motion for SEs.

Global Standard Demo · Saleo · 92% prep reduction

Strategic Tooling and M&A Judgment

Recommended Contentful as a strategic content layer and personally onboarded MeshMesh for a global AI demo pilot, turning field signal into build/buy/acquire recommendations.

Contentful recommendation · MeshMesh pilot · build / buy / acquire
Products built

Working systems across real domains.

Agentic Systems

AI Chief of Staff / Claudia turns briefs, meetings, memory, and commitments into an executive operating system; proves agents can run real leadership work and be taught to peers.

SergerOS turns personal finance and planning data into an AI operating model; proves messy real-world data can become decision infrastructure.

SmoochSage uses a multi-agent expert panel to pressure-test business questions; proves orchestration, debate, and synthesis under uncertainty.

Marketing Engines

eNewsEngine runs AI-assisted source intake, content selection, editing, and publishing flow; proves repeatable content operations.

BrandEngine creates a reusable brand-intelligence layer for agents; proves governed voice, research, and content systems can scale across brands.

Native Products

Predictabase is an iPad-first live-performance app; proves native product depth, offline-first workflow design, and shared data models.

oType is a local macOS dictation and revision app; proves privacy-first AI workflow design with native distribution discipline.

Consumer Products

Stadium Stars is a public baseball passport and trip-planning product; proves consumer UX, data modeling, auth, launch, and monetization thinking.

Bizword Bingo is a public on-device speech game; proves real-time AI interaction can be useful, private, and simple enough to share.

03

Career Arc

Aug 2023 — Present

Vice President, Solution Engineering

Salesforce · Marketing / Commerce / Revenue Clouds

Lead a 65-person, three-layer solution engineering org across Marketing, Commerce, and Revenue Clouds, supporting $1B in AOV while helping Salesforce scale AI tooling, education, and adoption across the field.

  • Serve on a CRO-convened cross-functional AI tooling and adoption team helping guide Salesforce field rollout.
  • Act as executive sponsor for global Solutions Center of Excellence initiatives across demo infrastructure, AI-enabled solutioning, and field enablement.
  • Personally build and sponsor internal tooling for solution quality, field capacity, AI-assisted demo creation, and leadership inspection.
  • Scouted and sponsored practical AI/demo tools including Saleo and MeshMesh, moving pilots into broader field use so teams can deliver higher-quality work faster.
  • Lead AI education across a 500+ person Solutions organization, with team engagement themes above company benchmarks in AI adoption, manager effectiveness, retention, and inclusive leadership.
  • Helped co-author the Agentic Vision for Marketing Cloud, informing the Contentful acquisition, roadmap and conference messaging, and continued M&A activity.
  • Turn customer and field patterns into roadmap direction, strategic tool selection, and executive build/buy/acquire recommendations.
2022 — Aug 2023

Vice President, Solutions Consulting

Bluecore · Retail Personalization & Marketing AI

Ran technical solutioning at Bluecore, the retail personalization and predictive-marketing platform.

  • Helped pivot Bluecore toward the Retail 1000, competing against enterprise ESPs including Salesforce Marketing Cloud.
  • Improved operating rigor through Vivun and Salesforce adoption, deepened enablement through BluecoreU and workshop motions, and partnered with marketing/product marketing on GTM strategy.
  • Led a national team attached to 70% of ACV across a $75M ARR business while rebuilding team morale and internal trust.
2017 — 2022

Senior Manager → Director → Senior Director, Solution Engineering

Salesforce · Financial Services, then Commercial & Retail

Moved from player-coach manager to national solution engineering leader.

  • Led national Marketing Cloud solution engineering with 5 first-line leaders and 40+ team members.
  • Built the headcount case that grew the organization by 40% and became a standard for SE allocation decisions.
  • Created coaching frameworks, boot camps, and enablement resources that were adopted globally.
2013 — 2017

Solutions Consultant → Principal Solutions Engineer

ExactTarget → Salesforce · Individual Contributor

Entered through the ExactTarget acquisition after years as a customer and partner-side operator, then rose to the top of the IC ladder.

  • Named Top Global Solutions Engineer within two years of the acquisition.
  • Drove $14M+ in new business as an individual Solution Engineer across State Farm, Kroger, Bank of America, Progressive, Crate & Barrel, and more.
  • Founding solutions lead for Financial Services; helped make the first Marketing Cloud vertical team a model for SE leadership.
  • Helped scope and shape the Financial Services use case that became Salesforce Distributed Marketing, turning the original Morgan Stanley demand signal into a staple Marketing Cloud product now beyond $30M.
2009 — 2013

Director, Interactive

C.TRAC · ExactTarget partner practice

Built the ExactTarget partner practice before joining Salesforce.

  • Grew the Interactive Marketing department from $90K to $6M, from 1 to 40 clients, and from 1 to 15 people.
  • Sold, solutioned, and implemented customer work personally while moving C.TRAC from direct-mail agency to ExactTarget Platinum Partner.
  • Helped C.TRAC earn ExactTarget Partner of the Year before leaving to join the platform company.
04

How I Lead

Clarity of intent. Respect for terrain. Credit to the team.

The values behind my operating model are simple: trust people with the mission, find the ravines before scale, and make the win bigger than the person leading it.

Trust & Creativity

Outcome, not script.

Set the mission, context, and constraints. Then give strong people the room and confidence to find a better path than the one I would have drawn.

Innovation

Plans meet terrain.

Treat strategy as a hypothesis until it survives customers, data, field capacity, and the operational details that decide whether adoption actually happens.

Teamwork

Credit travels outward.

Make ownership visible, push credit to the people closest to the work, and build the leadership bench so the system gets stronger without me in every room.

05

Proof Points

Recognition

  • Multiple Peak Performer's Club invitessustained top-performer record
  • Numerous internal awardscustomer impact, field leadership, peer recognition

Technical Depth

  • Deep Salesforce platform foundationmarketing, data, security, integration, and enterprise architecture
  • Still hands-on where judgment mattersSOQL, dashboards, agent workflows, native apps, product builds

Education & Voice

  • Miami UniversityB.S., Marketing · Oxford, OH
  • Published — Cross-Sell in Financial ServicesSalesforce · 2016
  • Speaker & SME — AI, marketing, data securityenterprise customer and Salesforce forums

Turn AI into
enterprise adoption.

cserger@pm.me LinkedIn ↗