“What stood out immediately was Taylor’s technical curiosity and her ability to speak our language….She made our partnership feel collaborative…”
“I worked closely with Taylor during her time as a Product Owner at LearnDash, and she was one of the best product partners my engineering team has ever had.
What stood out immediately was Taylor’s technical curiosity and her ability to speak our language. She didn’t just hand over requirements, she took time to understand our technical constraints, asked insightful questions about architecture decisions, and consistently found ways to align customer needs with engineering realities. She made our partnership feel collaborative rather than transactional.
Taylor was also one of the first people in our organization to recognize AI’s potential impact on both our product and our processes. While my engineering team was still evaluating feasibility, she was already running experiments, documenting findings, and bringing concrete use cases to our planning sessions. Her willingness to roll up her sleeves and explore emerging technologies alongside us created a shared sense of innovation that made our collaboration far more productive.
What impressed me most was her ability to shield my team from thrash while keeping us focused on what mattered. She balanced urgent customer escalations with long-term technical investments, translating business pressure into clear priorities without constantly shifting direction. She understood that good engineering requires both focus and flexibility, and she managed that tension exceptionally well.
Any engineering leader would be fortunate to partner with Taylor on building product.”
Gustavo Bordoni
Director of Engineering @ LiquidWeb, Cloud One Digital
on LinkedIn
Reviewer Meta Data
relationship: leadership_peer+
length: 2_years
taylor_versions: vLearnDash_ProOwn
focus: ld_5-0; AI_product_opsTranslate reviewer meta data to human language?
Translate reviewer meta data to human language?This section describes how I know the reviewer, how long we’ve worked together, and what version(s) of my career they’ve intersected with — the contextual release notes of our collaboration.
- Relationship: Gustavo and I partnered closely during my whole time at LearnDash to rebuild to realign product and engineering across roadmap strategy, team operations, and communication patterns. He managed the LearnDash Engineering Lead, so all engineering throughput ultimately rolled up to him. Our collaboration deepened once we both started exploring AI and how emerging Agentic AI workflows could streamline product ops and engineering efficiency.
- Length: About two years of direct collaboration inside the LearnDash engineering–product leadership group.
- Taylor Versions: He worked with me specifically during my LearnDash Product Owner era, including the most intense phases of the modernization and API stabilization work.
- Focus: Our work centered on LearnDash 5.0, engineering team enablement, and early AI product operations. Gustavo coached me on how to structure engineering-ready product specs, how to set teams up for success during technical pivots, and later collaborated with me on integrating AI-driven triage and workflow logic into broader engineering systems. He’s a big reason I leaned more deeply into the technical side of product.