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Digital resume Boise, ID · Remote · Updated Nov 2026

Trevor Engman

Sales systems fail at adoption, not at configuration. I spent two and a half years on the field side of that line and have spent every year since on the systems side, as the owner of the sales technology a national services company runs on.

Revenue influenced

$45M+

through sales systems I built and still run: the CPQ platform, the pricing program, the field-lead channel, and the reporting executives steer by.

A national sales organization with three divisions, each selling different services under different pricing. Quotes depend on individual reps and spreadsheets, and the CRM cannot reliably say what was quoted. Executive pricing rules exist on paper and are applied by hand, so errors reach customers. A program to capture the leads technicians see inside customer facilities has launched, failed, and is fading without anyone deciding to end it. That was the situation I was handed when I moved from the field into sales systems in 2023.

I knew why the lead program failed. I had been one of those technicians for two and a half years. Gowned in a customer's cleanroom, five minutes to spare, I would see work the customer needed that sales would never hear about, and no way to pass it on in the time I had. The system was not misconfigured. It was built for someone who was not in the room. I have designed from the technician's side ever since.

Today I own that company's sales technology end to end and run the complete systems lifecycle, from discovery and configuration through integration, vendor direction, rollout, training, and governance. I build hands-on in SQL, Python, and Power BI, and I hold an MBA.

I build with LLM coding agents every day, wire Model Context Protocol connectors into agent workflows, and ship forecasting and classification models end to end. The platform that built and deploys this page is one of the case studies.

Roles by thread, 2008 to present
Sales Operations Program Manager, TSS, Feb 2026 to present; Sales Support Specialist & CRM/CPQ Administrator, TSS, May 2023 to Feb 2026; Aceleca · Pro Dev Analytics, 2026 to present; Calibration Field Technician III, TSS, Feb 2021 to Sep 2023; Technology Business Development Manager, Victory Greens, 2019 to 2021; Business Technology Consultant, EGT Solar, 2018 to Nov 2018; Physics Teacher, Riverstone International School, Jul 2013 to Jun 2015; La Jolla Institute for Immunology, 2020 to Feb 2021; Physics researcher & adjunct lecturer, Boise State, 2008 to May 2013. 2008 2010 2012 2014 2016 2018 2020 2022 2024 2026 Sales systemsIndependentField serviceBusiness techTeachingResearch Sales Operations Program Manager, TSS · Feb 2026 – present Sales Support Specialist & CRM/CPQ Administrator, TSS · May 2023 – Feb 2026 Aceleca · Pro Dev Analytics · 2026 – present Calibration Field Technician III, TSS · Feb 2021 – Sep 2023 Technology Business Development Manager, Victory Greens · 2019 – 2021 Business Technology Consultant, EGT Solar · 2018 – Nov 2018 Physics Teacher, Riverstone International School · Jul 2013 – Jun 2015 La Jolla Institute for Immunology · 2020 – Feb 2021 Physics researcher & adjunct lecturer, Boise State · 2008 – May 2013
  • Current
  • Earlier

Physics research and teaching, then field service inside regulated facilities, then the sales systems that run on what the field taught me.

Table view
RoleThreadYears
Sales Operations Program Manager, TSSSales systemsFeb 2026 – present
Sales Support Specialist & CRM/CPQ Administrator, TSSSales systemsMay 2023 – Feb 2026
Aceleca · Pro Dev AnalyticsIndependent2026 – present
Calibration Field Technician III, TSSField serviceFeb 2021 – Sep 2023
Technology Business Development Manager, Victory GreensBusiness tech2019 – 2021
Business Technology Consultant, EGT SolarBusiness tech2018 – Nov 2018
Physics Teacher, Riverstone International SchoolTeachingJul 2013 – Jun 2015
La Jolla Institute for ImmunologyResearch2020 – Feb 2021
Physics researcher & adjunct lecturer, Boise StateResearch2008 – May 2013

Technical Safety Services

2023 – present · Remote

National provider of testing, certification, and calibration services for life-sciences facilities.

Mar 2026 – present

Sales Operations Program Manager

  • Own the sales technology ecosystem — Salesforce CRM, DealHub CPQ, commissions automation, and executive reporting — supporting a national sales organization across three business divisions. Case study: Systems governance
  • Serve as primary liaison between sales stakeholders and IT, translating business needs into technical requirements, implementation plans, and system configuration.
  • Deliver CRM and CPQ training and enablement across the organization to drive consistent adoption and best practices.
  • Lead prioritization and governance of all IT change requests affecting Sales; direct external consultants on scope, deliverables, and validation.
  • Design executive analytics used by the CEO, CFO, and VP Sales Operations to guide pricing strategy, pipeline visibility, and revenue planning. Case study: Executive analytics
  • Built the monthly revenue-forecasting ensemble: classical time-series models, gradient boosting, and foundation models combined with learned weights, reconciled by category, and backtested on every release. Case study: Revenue forecasting

Jun 2023 – Mar 2026

Sales Support Specialist & CRM/CPQ Administrator

  • Led the end-to-end implementation of a CPQ platform (DealHub): project-managed the rollout, directed implementation contractors, built the Salesforce integration, validated deliverables, and drove adoption. Result: 7,659 opportunities quoted, 4,962 won, $27.2M in revenue, with all changes and escalations routing through me as system owner. Case study: CPQ implementation
  • Took over the Technician Opportunity Program after a failed launch; rebuilt flows, integrations, and reporting into a net-new revenue channel: 2,226 opportunities submitted, 436 won, $2.8M revenue. Case study: Technician Opportunity Program
  • Built SQL- and Power BI-based analyses and dashboards for the CEO, CFO, and VPs covering price increases, churn, and service-order classification for major accounts (e.g., Kaiser Permanente). Case study: Executive analytics
  • Rescued a failed pricing rollout by building a pricebook automation program in Python (48 modules, 6,000+ lines) encoding executive pricing rules — $15.7M revenue priced through the program in its first year, with pricing errors eliminated and contractor spend reduced. Case study: Pricebook automation

Mar 2021 – Oct 2023

Calibration Field Technician III

  • Calibrated and certified laboratory equipment to GMP, ISO, USP, and EN standards in customer-facing engagements at pharma, biotech, and healthcare facilities (San Diego, CA).
  • Designed databases and workflow tools to streamline scheduling, quoting, and special projects — the frontline experience that now informs my sales-systems design. Case study: Field workflow tools

Earlier

2019 – 2021

Technology Business Development Manager

Victory Greens · Boise, ID

Designed and implemented technology solutions that streamlined operations and grew revenue.

2018

Business Technology Consultant

EGT Solar · Meridian, ID

Implemented CRM for an external client from qualitative/quantitative process analysis through configuration, using scripting, API integrations, and workflow automation to capture and support the full sales process.

Case study: EGT Solar CRM

2013 – 2015

Physics Teacher

Riverstone International School · Boise, ID

Two years of classroom instruction; the foundation of my training and enablement skills.

2008 – 2021

Research roles

La Jolla Institute for Immunology · NASA Langley · Boise State University

Built lab sample database and AI data-entry automation at La Jolla Institute for Immunology (2020–2021); research fellow at NASA Langley Research Center (2010); physics researcher & adjunct lecturer at Boise State University (2008–2013).

Case study: Lab sample database

Select a skill to filter the projects below.

Platforms

Technical

AI & agent tooling

ML & statistics

Technical Safety Services · Implementation lead · system owner

Led the end-to-end rollout of DealHub CPQ as the quoting backbone of a national services company, then became the single owner for every change and escalation since.

7,659
opportunities quoted
4,962
opportunities won
$27.2M
revenue through the platform

Read the case study

Technical Safety Services · Designer · sole developer

Rescued a failed company-wide pricing rollout by encoding executive pricing rules as a 48-module Python program that generates the price books CPQ and CRM depend on.

$15.7M
revenue priced in year one
48
modules · 6,000+ lines
0
pricing errors after cutover

Read the case study

Technical Safety Services · Program owner · rebuilt flows, integrations, reporting

Took over a field-sourced lead program after a failed launch and rebuilt it into a net-new revenue channel that technicians actually use.

2,226
opportunities submitted
436
opportunities won
$2.8M
net-new revenue

Read the case study

Technical Safety Services · Sales Operations Program Manager

Own the sales technology ecosystem for a national sales organization: Salesforce, DealHub CPQ, commissions automation, and executive reporting, plus governance of every IT change that affects Sales.

3
business divisions supported
4
platforms owned end to end
1
point of accountability for sales change requests

Read the case study

Technical Safety Services · Analyst · dashboard builder · modeler

SQL, Power BI, and statistical modeling for the CEO, CFO, and VPs: price-increase impact, churn, pipeline, service-order mix, and a machine-learned opportunity classifier with humans in the loop.

CEO · CFO · VPs
primary audience
SQL to Power BI
toolchain
Snowflake · SQL Server
data sources

Read the case study

Technical Safety Services · Designer · sole developer

A monthly revenue forecast built as an ensemble of classical time-series models, gradient boosting, and two foundation models, with learned weights, hierarchical reconciliation, and rolling-origin backtests on every release.

6
forecasting model families combined
2
time-series foundation models benchmarked
Backtested
rolling-origin, every release

Read the case study

Personal project · Designer · sole developer

A scheduled Python pipeline that polls roughly 15,800 job-board APIs a day, normalizes about 260,000 postings into one schema, and scores each one on two axes: fit to a skills profile and how AI-forward the employer is.

15,800
Greenhouse, Lever, and Ashby boards polled daily
260K
postings normalized per run
2
scoring axes: role fit · AI-forward

Read the case study

Aceleca · Pro Dev Analytics · Architect · operator

A platform where LLM agents build, review, and deploy production websites: an orchestrator splits GitHub epics into waves of parallel workers in isolated worktrees, every change lands as a pull request, and Cloudflare serves the result at the edge. This site is one of them.

9
production sites on the platform
59
agent-authored pull requests merged
D1 · KV · Access
edge primitives in production

Read the case study

All 12 projects

How the sales systems fit together

The ecosystem I own at work, from the people who use it to the executives who steer it. Select a node.

works opportunities submits field leads creates opportunities change requests scope · validation two-way sync price books pricing rules closed-won data CRM + quote data history forecast + intervals models analytics Sales team national org · 3 divisions Field technicians on-site at customer facilities IT & external consultants change control I govern Salesforce CRM system of record Tech Opportunity Program field leads into the pipeline Pricebook automation Python · 48 modules DealHub CPQ quoting backbone Commissions automation closed-won to payout Snowflake · MS SQL Server analytics data layer Revenue forecasting ensemble · ETS · LightGBM · foundation models Power BI executive dashboards CEO · CFO · VP Sales Ops decisions in, rules out

2023

MBA, Creative Leadership (with honors)

National University in partnership with The Center for Creative Leadership

2013

B.S., Physics

Boise State University · Coursework in computer science, scientific computing, and machine learning · McNair Scholar · Published spectroscopy research (APS March Meeting 2012)

This page is a static Astro site generated from three TypeScript data files: the skills, the projects, and the systems in the diagrams above. Every change to it was written by Claude Code agents working from GitHub issues, landed as a pull request, checked by Lighthouse, and deployed to Cloudflare Pages on merge. The question box below is a Cloudflare Pages Function that calls the Claude API with those same data files as its only source.

Case study: the platform behind this site