Chief Customer Officer · Field Engineering & PreSales · AI/ML & Enterprise GTM

J. Scott Stradley

I build and scale the operating layer of enterprise software — the technical revenue function that turns complex technology into CFO-level business cases at each company's inflection point.

  • $1B+Deal value influenced
  • +300%ARR growth (Evolven)
  • >54%Of BigPanda ARR
  • Top 1%Quota attainment

This is a general overview of my background — not tailored to any single role. My work spans Chief Customer Officer, Field Engineering and Forward-Deployed leadership, PreSales and Solutions, and Business Value. I'm open to conversations across any of these. What follows is the shape of how I operate.

Why now

The gap is the function, not the technology

AI and real-time data platforms have crossed the adoption threshold — but most GTM organizations still cannot translate technical capability into P&L outcomes a CFO will sign. The gap is not the technology. It is the function that builds the business case, runs the proof, and compounds value post-sale. I have built that layer across four platform generations — from mainframe-era data integration to AI-native infrastructure — and measured it on commercial outcomes every time.

Why me

Four platform generations, one discipline

Same discipline, successive platform generations. I build and scale the technical revenue function — PreSales, Customer Success, Field Engineering, and Business Value — that turns complex technology into measurable growth at each company's inflection point.

  1. HiveMQ

    Founding Chief Customer Officer

    2025–present

    Unified Solution Engineering, Customer Success, and Business Value Consulting under one executive P&L reporting to the CEO.

  2. Evolven

    VP Global Solutions

    2021–2025

    $6M → $24M ARR (+300% over 3 years); global team of 13 built from near zero.

  3. BigPanda

    Field CTO

    2017–2021

    $200K → ~$30M; anchored >54% of company ARR; authored the Command of the Message framework.

  4. Informatica

    Sr. Account Executive

    Earlier career

    MetLife flagship <$1M → >$15M ARR; $8M+ annual services quota; contributed to $300M+ annual license bookings.

What I bring

Proof-backed pillars

  • 01

    Build the function from zero

    Designed and stood up global Solution Engineering, Customer Success, and Business Value organizations — hiring, process, and P&L accountability included.

  • 02

    Translate complexity for the C-suite

    Authored business cases totaling $200M+ by hand. Turned technical proof points into CFO-ready narratives that close enterprise deals.

  • 03

    Deliver 2–3× growth

    Evolven ARR +300% in three years. BigPanda from $200K to ~$30M. MetLife from <$1M to >$15M ARR. Pattern repeats.

  • 04

    Make technical work commercially accountable

    Cut Demo-to-POC time 50% and POC duration 75% at Evolven. Every SE engagement tied to a value milestone, not an activity metric.

Fit

Why this role

If you're scaling an AI-native platform, the gap is rarely the technology — it's the function that turns it into a business case a CFO will sign, and the post-sale motion that compounds it. That's the layer I build: Solution Engineering, Customer Success, and Business Value under one roof, measured on outcomes. I've built it across four platform generations, most recently as a founding CCO.

Enterprise clients

Trusted at scale

  • Enterprise data platform engagements
  • grew <$1M to >$15M ARR
  • Fortune 100 financial services
  • Enterprise operational intelligence
  • Global digital operations
  • Regulated industry platform adoption
  • Insurance technology modernization
  • SaaS platform expansion
  • Retail digital transformation
  • Global banking technology
  • Financial services infrastructure
  • Enterprise platform partnerships

Discussion

Questions worth exploring

  1. 01

    Where is your post-sale motion leaking expansion revenue right now?

  2. 02

    Is your SE org measured on commercial outcomes, or on activity?

  3. 03

    What would it take to tie every technical engagement to a value milestone?

  4. 04

    Where does "AI-native" still lack a CFO-ready business case?

Close

Let's talk

I didn't write a cover letter. I built this — a working value tool, a business case, and a site that argues its own case. If you're building a customer organization that has to match the technology behind it, I'd value thirty minutes.