Technical GTM · AI Adoption
Field Engineering Leadership · Enterprise AI · Platforms

ChrisSerger

I help technical products become trusted enterprise platforms.

Field engineering executive for AI and platform companies. I have led national SE teams, built new vertical motions, advised enterprise buyers, and shipped practical AI systems the field could actually use.

65
Person org led today · 7 directs, 3 layers
$80M+
Annual contract value under national SE team
7/3
Direct reports / management layers in current org
$27M
Influenced revenue from vertical motion built from scratch
Top Global SE
Salesforce individual-contributor recognition
Fortune 500
Executive technical sponsor across major enterprise accounts
01

Where I Fit

Best fit: companies where the product is technical, the buyer is demanding, and the market is still learning how to adopt something new.

Career arcTop global Solution Engineer → vertical founder → national leader → startup VP → Salesforce VP over a 65-person, three-cloud organization.
Operating rangeExecutive buyer conversations, technical win strategy, field capacity, enablement, team design, and the systems that make adoption repeatable.
DifferentiatorExecutive altitude without losing the builder's grip: customer trust, technical judgment, field systems, and practical AI adoption.
02

Track Record

Aug 2023 — Present

Vice President, Solution Engineering

Salesforce · Marketing / Commerce / Revenue Clouds

Lead a 65-person solution engineering org across Marketing, Commerce, and Revenue Clouds.

  • Built the Builder-SE operating model, AI systems, and deal-intake workflows for reusable field execution.
  • Advised enterprise buyers and technical leaders at Bank of America, DraftKings, Foot Locker, Rocket Mortgage, Ally Bank, PepsiCo, Capri / Michael Kors, and Mars.
Mar 2022 — Aug 2023

Vice President, Solutions Engineering

Bluecore · Retail Personalization & Marketing AI

Ran solution engineering at Bluecore, the retail personalization and predictive-marketing platform.

  • Built and productized the enterprise retail sales play around predictive Smart Campaigns for At Home, Coach, and J.Crew.
  • Owned discovery, solution design, and executive proof for a net-new enterprise book.
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 $80M+ in annual contract value under the team; technical sponsor for accounts including Chase.
  • Sponsored and built Salesforce's global demo platform — now the company-wide standard — delivering in 2–3 weeks what the central team had scoped at months.
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; co-developed Morgan Stanley products that became portfolio staples and built a Distributed Marketing motion that drove ~$27M in influenced revenue.
03

AI Systems I've Built

I do not just position AI. I build systems that make it useful in executive and field workflows: integrated, governed, and trusted by non-technical leaders.

Built & running in production

Claudia — my AI operating assistant.

A six-agent system that prepares briefs, routes work, remembers context, and connects to Salesforce, Slack, Google Workspace, and Tableau. Built to make AI useful in weekly executive and field workflows, not just demos.

MessExecutive and field work scattered across CRM, Slack, documents, dashboards, and memory.
BuildAgent routing, durable context, scheduled workflows, and integrations into tools where work already happens.
PullPeer leaders asked to recreate the pattern because it made AI practical.
Why It MattersEnterprise AI adoption depends on trust, workflow fit, governance, and repeatable use.
Multi-agent orchestrationModel routingPersistent memorySalesforce CRM / SOQLSlack + Workspace + TableauScheduled automation

I keep hands on keyboard enough to judge what is real: agent workflows, Salesforce data integrations, local AI/privacy patterns, payments, user journeys, and production web apps.

SEField SystemsDashboards · intake · audit tools ↗Tool ScoutingSaleo · MeshMesh · demo platform Biz Word BingoLocal AI · privacy · browser app Stadium StarsPayments · product journey
04

How I Lead

Set the standard. Test it against the field. Grow the people who own it.

Set the Standard TRUST

Define the outcome, context, and bar. Give strong people room to solve.

Test Against the Field JUDGMENT

Pressure-test strategy against buyers, data, team capacity, and the details that decide whether it works.

Grow Leaders TEAMWORK

Promote from within, make people visible, and keep ownership close to the work.

05

Signals

Recognition

  • Top Global Solutions EngineerSalesforce · top IC SE, company-wide
  • Multiple top-performer & President's Club honorsthrough the IC years

Certifications

  • Certified Data Cloud ConsultantSalesforce · 2023
  • 50+ product & security certificationsSalesforce platform · data · security

Education & Voice

  • Miami UniversityB.S., Marketing · Oxford, OH
  • Published — Cross-Sell in Financial ServicesSalesforce · 2016
  • Speaker & SME — AI, marketing, data securityPepsi · Mars · Salesforce Connections

Build the next
enterprise AI platform.

cserger@pm.me LinkedIn ↗ 2-page résumé ↗