Erica Renee Gilbert

'Ello there, I'm Erica.

Pleased to make your internet acquaintance. I help enterprise teams turn complex AI and developer technology into secure, adopted, measurable outcomes. I’m a Senior Technical Success Manager at Snyk, partnering with security, engineering, and platform teams on developer-security adoption. My background spans AI/ML, developer workflows, enterprise SaaS, and front-end development—from early proof of concept through production rollout, value realization, and expansion. Former developer, forever curious, cat person, and sometimes a writer.

How I Work

I translate technical possibility into customer outcomes. That means guiding enterprise onboarding and rollout, finding the use cases that matter, building champions, removing adoption blockers, and connecting product usage to business value. At Snyk, I help security, engineering, and platform teams operationalize developer security across SCM, CI/CD, IDE, and reporting workflows. Across my career, I’ve worked at the intersection of AI, developer tools, and enterprise change—equally comfortable in a technical working session, an executive value conversation, or the messy middle where a new technology has to become a real habit.

A few ways I help complex technology become durable customer value.

Enterprise Adoption

Build the customer journey from onboarding through renewal and expansion.

Success Planning Health Signals Executive Reviews

AI + Developer Workflows

Bring technical credibility to the adoption conversation.

DevSecOps SDLC APIs & Cloud

Value Realization

Turn usage into outcomes customers can see and defend.

Risk Reduction Developer Efficiency ROI

Builder Mindset

Create the programs and playbooks that make adoption repeatable.

Workshops Enablement Cross-Functional Leadership

Examples from my AI and computer-vision work—the same customer-outcome approach that now informs my developer-security work.

Parker Hannifin

Problem: Visual inspection consistency and throughput on complex assemblies.

Approach: Curated data strategy, anomaly + classification models, reference edge deploy on Jetson.

Outcome: Clear path from pilot to production with measurable quality and cycle-time improvements.

NXP

Problem: Defect categorization and yield insights for high-volume parts.

Approach: Iterative model training with rigorous evaluation, dashboarding for decision support.

Outcome: Improved detection fidelity and actionable analytics to guide process tuning.

AstraZeneca

Problem: Determining ROI fit for automated inspection in a regulated context.

Approach: Discovery workshops, data pilots, and risk/benefit framing with compliance in mind.

Outcome: Informed go/no‑go decision criteria and prioritized next best use cases.

Medtronic

Problem: Consistency across multiple lines and parts.

Approach: Standardized annotation & evaluation playbook; demo assets for stakeholder buy‑in.

Outcome: Faster alignment and clearer acceptance thresholds across teams.

I started on the front end—shipping responsive experiences for enterprise brands like PGA Tour and ABC.com and obsessing over details from XSLT quirks to page performance. That foundation still informs my work: crisp demos, clean narratives, and empathy for every user in the loop. Today that foundation helps me make developer and security technology more approachable, build credible enablement, and translate complex workflows into outcomes that stick.

I write when the creative itch strikes. Short stories and poems live here. I also snap photos—mostly on Instagram these days.

'Ello there, I'm Erica.

How I Work

Highlights