About
I build customer-facing teams from scratch and help them deliver real solutions to customers. I'm comfortable in the messy middle: unclear requirements, tight timelines, many stakeholders, and high expectations.
Building from 0→1 (and scaling it)
I've spent a lot of my career building functions that didn't exist yet -hiring the first people, defining roles, setting standards, and creating simple operating rhythms that keep delivery moving. At OceanX, I built Sales, Pre-Sales, Services, and Customer Success from zero and scaled the overall engine to support $100M+ ARR.
What that looks like in practice
- Hiring: wrote the first JDs, built a consistent interview loop, and made the bar explicit
- Delivery: defined "done" (quality, security, docs, handoff) so teams didn't argue about basics
- Operations: weekly engagement reviews + simple dashboards so we saw problems early
- Repeatability: turned early wins into playbooks, templates, and starter repos
- Ambiguity: kept teams focused when scope was moving and stakeholders disagreed
How I lead people
My job is to hire strong people, get them pointed at the right problems, and remove friction so they can do great work. At Guthy|Renker, I earned the highest manager score company-wide in the employee survey.
Hiring bar (and protecting it)
I hire for fundamentals, good judgment, and customer instincts—not just keywords. I keep the loop consistent and the expectations clear.
1:1s that actually help
Weekly 1:1s focused on: what's blocked, what's unclear, what's next, and what support is needed. Career growth gets its own cadence (goals, feedback, stretch projects).
Standards without bureaucracy
Clear definition of "good": code quality, reliability, security/privacy basics, documentation, and clean handoffs. Lightweight process, high bar.
Coaching in the moments that matter
I'll join an architecture review, help think through a tricky production issue, or step into a high-stakes customer call when it helps. Otherwise I stay out of the way.
What I look for when hiring
Beyond technical skills (table stakes), I look for:
- Systems thinkers — Can see the ecosystem, connect dots across functions, and know where the 20% is that drives 80% of impact
- Simplifiers — Turn complexity into actionable steps. Break things down into logical components.
- Clear communicators — Exchange ideas constructively, not aggressively. Open, not stubborn.
- Fast learners — Technically adept and can get up to speed quickly in new environments
- Collaborators — Best idea wins, regardless of seniority or volume. Data over opinions.
- Humble — Know they don't know everything. Can be wrong. Open to other ideas.
- Team-first ambition — Want the team to win, not just themselves
Representing the customer (without letting chaos in)
I advocate hard for customers internally—translating their needs into product feedback, roadmap input, and process improvements. Field insights should shape what we build.
But I also protect the team. If a customer is disorganized or unclear, I build the relationship that lets me push back constructively—helping them clarify their own goals and outcomes that work for both sides. That creates structure so the team can do focused work, not firefight.
Enterprise delivery: strategic + hands-on
I can move between exec-level conversations and the details that make projects succeed. I've led technical discovery, scoped and qualified work in pre-sales, and owned delivery outcomes across complex enterprise environments.
I stay close to the work
- Architecture reviews and technical discovery
- Helping think through production issues with engineers
- Prototyping to unblock teams
- Clear technical write-ups for stakeholders
And I lead the system around it
- Staffing and resource allocation across engagements
- Delivery cadences (standups, retros, engagement reviews)
- Quality bar + escalation paths
- OKRs tied to customer success and adoption
Making work repeatable
I like turning "we figured it out once" into "we can do this reliably." That usually means playbooks, starter repos, integration templates, and a simple knowledge base that captures what the field learns.
- Integration playbooks that reduced customer time-to-value and improved conversion outcomes
- Starter templates for common implementation patterns to speed up onboarding
- Field-to-product feedback loops that improved roadmap prioritization and reduced delivery friction
- Documentation habit: I write so teams can move faster (and so new hires ramp quickly)
Why Anthropic
I'm drawn to Anthropic's focus on building AI that's reliable and safe. I've gone deep on modern AI through Stanford's graduate-level certificates and I build with these tools day-to-day.