Jonathan Ton

Where the trail starts. A communications degree with a business minor, which turned out to be the base layer for everything after: explaining how systems work to the people who have to use them.

• Communications
• Business
• Hook 'em

Built client acquisition from nothing, then used funnel analysis to find where leads were dropping off and fixed those steps.

Client acquisition

Built from 0

Client growth

+467%

Lead conversion

+60%

Ran operations for Miro, Figma and Airtable across a 1,000+ person organization: licensing, governance, onboarding and support.

• Replaced outsourced manual work with workflow automation.
• Ran vendor security reviews and negotiations for new AI tools.
• Led enterprise AI adoption from inside the org.

Org supported

1,000+ people

Costs eliminated

$125K / yr

Platforms owned

3

• Miro
• Figma
• Airtable
• Jira
• Wrike

Designed the full operations backbone for an independent beauty team, from the client pipeline to payouts.

Pipeline

7 stages

Payout disputes

0

Manual data entry

−100%

• HoneyBook
• Zapier
• Make.com
• Google Sheets

I own enterprise access management and IT systems provisioning. I went from shadowing to full ownership of the access request lifecycle, onboarding and offboarding, and SaaS governance within a 12-week ramp.

• Access request intake, approval routing and provisioning across 100+ internal platforms, from standard to executive-approval tiers.
• Employee and contractor onboarding and offboarding, coordinated with People, IT and Security so access is granted and revoked on schedule (SOC 2-aligned).
• System of record for 100+ SaaS contracts and renewals, with sign-off across app owners, finance and legal.
• Bi-annual privileged access review, reconciling identity provider exports, admin lists and HR records.
• AI & Security Champion for responsible AI tool adoption.

Ramp to ownership

12 weeks

Platforms governed

100+

SaaS contracts

100+

• Access governance
• Jira Service Mgmt
• MDM
• GRC tooling
• SOC 2

Usage data showed most access requests landing in an unstructured "Other" category. I led a phased redesign that turned about 30 options into 100+ categories organized by department, and proposed automation to cut manual routing.

Options

~30 → 100+

Organized by

Department

Status

Rolling out

A HoneyBook pipeline built from scratch, with automation connecting Google Sheets, Zapier and Make.com. The payout logic removes ambiguity before it can turn into a dispute.

Payout disputes

0

Manual entry

−100%

My easy runs in Houston kept hitting race-level heart rates, so I pulled every run off my COROS watch to find out why. Between 65°F and 80°F, my heart rate ran 27 bpm higher even at a slower pace. The heat, not my fitness, was setting the effort.

Runs analyzed

175

Heart-rate cost

+27 bpm

Heat band

65–80°F

• COROS
• Data analysis
• Claude

When it was time to move, I built the decision tool instead of a spreadsheet. It found the apartment, and it left me with a habit: when a problem repeats, build the tool.

• HTML
• Claude API