Austin Pierce · Workflow automation and SaaS implementation

I automate contract workflows and data processes for enterprise customers.

I've spent 10+ years across data engineering, product management, and SaaS implementation. Today I run contract lifecycle management (CLM) implementations for customers ranging from mid-market companies to the Fortune 100. I also use AI coding tools (Cursor, Claude Code, Codex) to build internal tools and web and iOS apps.

Get in touch →See my experience ↓
01 / 03Contract routing
A CLM approval workflow
01 — What I do

Three areas of work

01

Implementation

Discovery, requirements, workflow builds, training, and support after go-live. I've done this for five years, usually with several customer projects running at once.

02

Workflow and data automation

Contract routing workflows, batch jobs that update tens of thousands of records, and the error handling around them. Before consulting I was a data engineer for three years, writing SQL, stored procedures, and SSIS packages.

03

Building with AI coding tools

I use them to build internal tools and web and iOS apps, including the Python tools I use at work. I don't hand-write production code. I write the plan, review what the agents produce, and test it before it ships.

02 — Experience

Where I've worked

  1. 2021 — NowRemote

    Senior Product Consultant

    Public enterprise SaaS companyAgreement management platform
    ↑ Promoted from Product Consultant, 2025

    I lead CLM implementations for mid-market and enterprise customers, up to the Fortune 100.

    • Own the build on small and mid-size implementations and work with the solution architect on enterprise projects, usually across 5+ implementations at once.
    • Run discovery on customers' contract processes to find gaps, then write the business requirements document, process flowcharts, and technical design for each build.
    • Build CLM workflows in the visual builder, using C# for complex logic, XPath in Word templates, eForms, the platform's APIs, and Salesforce integration.
    • Built a batch workflow that read a CSV of contract, account, and opportunity IDs and used the CLM's Salesforce ETL step to backfill metadata on 75,000 contracts, with error handling and alerts.
    • Extended a bulk contract ingestion tool built on the CLM API, adding CSV manifest validation, automatic folder creation, amendment-to-parent linking, and retry and resume for runs of up to 5,000 contracts.
    • Built Python tools that search workflow definitions and parse configuration packages, which replaced clicking through the workflow designer by hand.
    • Led 20+ trainings for admins and end users on rollouts of 50 to 5,000 users, support customers after go-live, and mentor junior consultants.
  2. 2019 — 2021Chicago

    Senior Product Analyst (Product Manager)

    Global digital consultancyDigital transformation for enterprise clients

    Product manager on a client project that moved an in-person enrollment process online.

    • Led the move from an in-person enrollment process to a web app with online appointment scheduling.
    • Launched an iOS app that managed the flow of 1,500+ customers a month into community offices.
    • Ran end-user interviews and stakeholder workshops, owned story refinement and backlog grooming, and set the roadmap with the client's product owner and architect.
  3. 2019Remote

    Lead Associate

    Venture capital firmEarly-stage investing

    Researched portfolio companies and industries for the investment team.

    • Wrote investment briefs, due-diligence reports, and pitch decks.
  4. 2016 — 2019Chicago

    Senior Data Engineer

    Publicly traded logistics companyFreight brokerage & transportation
    ↑ Promoted from Junior Data Engineer

    Data engineer on the team behind the company's operational and reporting data.

    • Built ETL pipelines, stored procedures, and SSIS packages moving data used by 1,500+ employees.
    • Improved query performance by 20% on average through SQL code reviews and tuning.
    • Automated manual processes with non-technical teams, saving 12+ hours of work a month.
    • Mentored four junior data engineers and led technical planning to turn business requirements into database solutions.
Education · 2016

B.S., Information Systems Technologies, Minor in Marketing. Southern Illinois University.

03 — Outside work

Side projects

Things I've built on my own time.

AI build pipeline

A multi-agent build pipeline

Plan→AI implements→AI reviews→AI arbitrates→Release gates

Cursor implements a written plan, Codex reviews the change, and Claude settles disagreements between them. Nothing merges or deploys until CI passes and the release gates clear, and a release is blocked if an acceptance criterion has no test that ran.

Used in 6 of my repositories
Standards

Shared rules for AI coding agents

One versioned set of rules that the coding agents in all my repositories follow, covering architecture, database security, design, and error monitoring. A sync script flags repositories that have drifted, and bugs I hit in production turn into new rules.

8 repositories
Apps

iOS and web apps

I've taken several apps from idea to TestFlight and production with React Native, Next.js, and Supabase. They ship with over-the-air updates, analytics, and error monitoring, and one includes a native iOS share extension.

Shipped to TestFlight and the web
LLM APIs

Comparing models on cost and quality

I built a tool that runs the same prompt against Anthropic, OpenAI, and Gemini models and records the output, latency, tokens, and cost of each call. I used it to move one app's feature to a cheaper model, then rewrote that feature's system prompt to resist prompt injection.

3 providers compared
Data pipelines

Turning videos and web pages into data

One Python pipeline pulled place recommendations out of about 70 saved travel videos, removed duplicates, and put them on a map. Another reads business websites and uses an LLM to save the details to Postgres, switching to a headless browser when a page needs it.

About 70 videos mapped
Side business

A direct-to-consumer brand

I've run a pool towel brand since 2019. I sampled and sourced from overseas manufacturers, built the Shopify store, set up a fulfillment partner, worked with content creators, and ran the Meta ads. Ad management now runs through an AI process I set up, with Python scripts on the Meta Graph API that pull and audit the ad data.

1,400+ orders
Home

Home automation

Lights that follow presence and know whether someone is in bed, plus leak, air-quality, and laundry alerts. I keep the automations as YAML files and push them through the Home Assistant API.

65 automations
04 — Background

How I got here

I've been building things on the side since high school.

  1. Teens

    Selling online

    I built and monetized my first websites at 14, and was sourcing products from overseas manufacturers in high school.

  2. 2016

    Coding tutorials

    I worked through Ruby on Rails courses at night. I could follow along, but I struggled once I tried to change the code for my own ideas.

  3. Late 2010s

    No-code apps

    I switched to Bubble and launched projects for fun. One was a fantasy football league hub. Another matched Spotify listening history with Ticketmaster and SeatGeek tour dates and texted people through Twilio when an artist they listened to announced a show nearby.

  4. 2019

    A pool towel brand

    I started a pool towel brand and ran every part of it myself, from sourcing to ads. It's still running, and it's covered in the side projects above.

  5. Now

    AI coding tools

    They let me build the apps and automations I used to only plan, including the tooling that now runs parts of my own business.

05 — Approach

How I work

Rule 01

I like owning a project end to end.

From the first discovery call through the support questions after go-live.

Rule 02

I automate work I repeat.

If I've done something by hand twice, I look for a way to script it or run it as a batch job.

Rule 03

I check what AI tools produce.

Nothing an agent writes ships until I've reviewed it and the tests pass.

Rule 04

I look for what's missing.

Before a plan is final, I try to find the case that breaks it.

06 — Toolkit

Skills

Select a skill to see where I've used it.

Delivery & product

Data & automation

Platforms

AI & building

Used for years at work Used on real projects

Where I've used Workflow design

5 examples · Deep
  • Enterprise SaaS · 2021 — Now

    Build CLM workflows in the visual builder, using C# for complex logic, XPath in Word templates, eForms, the platform's APIs, and Salesforce integration.

  • Enterprise SaaS · 2021 — Now

    Built a batch workflow that read a CSV of contract, account, and opportunity IDs and used the CLM's Salesforce ETL step to backfill metadata on 75,000 contracts, with error handling and alerts.

  • Enterprise SaaS · 2021 — Now

    Built Python tools that search workflow definitions and parse configuration packages, which replaced clicking through the workflow designer by hand.

  • Side project · AI build pipeline

    A multi-agent build pipeline. Used in 6 of my repositories.

  • Side project · Home

    Home automation. 65 automations.