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I've gone ahead and created this website as a candidate profile for your convenience. To start, here's a general overview of my background:



Let's talk Product

Many Product Manager job descriptions list out the requirements and functions for the task at hand. I've selected a few examples from my career to highlight my experiences in each area.

Product Management processes
  • Upserve: I joined Upserve when they were forming a Data Science team from the Platform team. During this transition, the Data Science workload primarily comprised of experimental hackfests tracked in Google docs and received inbound ad-hoc requests from Slack. I transformed the team's requirements and development velocity by implementing a SCRUM-based development process and tracking via JIRA, GitHub and shared Jupyter notebooks.

  • Sqor: I was the first Product hire at Sqor. I brought definitions of success to features, tracked product performance in dashboards, and presented the product roadmap.

  • Product School: I was one of the first instructors at Product School and co-authored the Analytics section in the Product School textbook.

My product philosophies are rooted in Pragmatic Marketing (for B2B), Job to be done (for SMB and B2C) frameworks.

Voice of the customer/developer
  • Upserve

    • Internal customer: Customer Success sought customized product engagement data for the 7,000 merchants on the network. Some of these merchants had unique hierarchies and user roles in Salesforce that was not configure in our product analytics (Google Analytics and Mixpanel). I teamed up with SalesOps to define, instrument, launch and train the Customer Success team on Totango in an effort to prevent customer churn.

    • External customer: Square Capital, an integration partner, sought a reporting portal to understand the current marketable customer base for loan offers. Rather than scope an entire staging environment with sensitive data, we opted to create a data feed.

  • Contracting – Internal Tools: The "voice" of an internal customer is different than an external one. During a contract engagement, I created an employee provisioning and onboarding tool for a startup's IT and HR teams. I was able to resolve the teams' different use cases by first understanding the employee's painpoints and typical journey. Empathizing with the employee's problem and internal stakeholder's requirements, I created an event-triggered workflow that improved new employee satisfaction 65%.

Insights and reporting
  • Upserve

    • Item taxonomy: Upserve's Point-of-Sale (Menu) database has ~50M unique items per food category. I owned the development of categorization and creating item taxonomy to use for insights and trends, such as menu analytics.

    • Industry insights: Upserve has a wealth of information about a restaurant's operation, including labor, tipping and categorical sales. These insights served as a lead generating Restaurant Industry Report in augmenting an internal sales persona tool.

  • Contrast Security: The Application Security space saw that developers did not find security defects as worthwhile tasks to work on. Contrast began evangelizing to developers with Contrast Labs and attending engineering events such as AWS ReInvent. I owned and managed Contrast research reporting, including the State of Application Security white paper.

Network/graph visualization
One of the dashboards of AthleteSqor

One of the dashboards of AthleteSqor

  • Upserve: Guestbook and Guest Identity created a universal profile id and mapped multiple attributes, such as credit cards and social profiles, to a profile. A unified profile enables amateur restaurateurs to understand consumer behavior while more enterprise customers could view a canonical view of dining throughout a network.

  • Sqor: Fresh from analyst work at Quid, I was quick to define and own AthleteSqor. This influencer marketing product started as a sales enablement tool to target athletes to join the platform. AthleteSqor paired social media engagement and sport performance metrics. This tool provided marketing departments quantified social media intelligence for influencer campaigns.