I lead an org of 20+ teammates responsible for Upwork's end-to-end pre-hire experience, including the platform's most utilized surface areas on both sides of the marketplace. We deliver 80%+ of Upwork's ~$700M annual revenue in pursuit of our mission to create economic opportunities so people have better lives.

After 1.5 years at Upwork, I took on a newly created role, responsible for Upwork's end-to-end pre-hire experience. I was subsequently promoted to VP.

I founded and led Upwork’s internal incubator, Upwork Labs. My team spearheaded the company's generative AI efforts, addressing numerous customer problems while successfully changing the narrative of AI's impact on Upwork from "doom" to "boom"; in doing so, the team's efforts generated millions of dollars in incremental revenue. Key accomplishments include:- Authored and led the execution of Upwork's generative AI strategy and Long-Term Plan - Launched multiple iterations of Job Post Generator, an LLM-based solution to help clients draft job posts, driving up spending by 9% for those using the feature and enabling them to post jobs 80% faster. - Launched conversational GPT-based bot on Upwork's homepage to help visitors understand what Upwork is and how it can help them meet their needs. Clients who use this chatbot start spending on Upwork at a 7% higher rate vs. those who don't.- Launched Uma for Talent, a ChatGPT-like embedded tool that helps freelancers on Upwork get their work done faster and at higher quality, showing a XX% boost in earnings for those using the tool vs. those who don't.- Worked hand-in-hand with Upwork's legal team to establish a framework for gen AI use within the platform, balancing privacy, customer benefit, flexibility, and speed of execution. Drove notification of the new policy to tens of millions of users without negative reaction. - Recognized by OpenAI as a leader in applying generative AI to a wide range of use cases in order to drive impact (see case study below).Based on the success of Upwork Labs, I was promoted to take on a role with a substantially larger remit and team.

Raya Advisory is a product, AI, and business strategy consulting and recruiting firm based in Silicon Valley. As a member of the AI Advisory Board, I work with other board members to learn and provide insight into how AI can best be applied to maximize value and impact for businesses and their customers.

After bringing on a new CEO (see below), I continued to advise Patrick and the rest of the team to help accelerate their success.

Applause’s mission is to enable creators and their communities to thrive through a direct connection with one another. We do this via two-way, gamified livestreamed experiences that bring unparalleled energy and monetization to online engagement (on both mobile and web).With a diverse team of 25, we’ve brought moments of delight - including tears of joy, laughter, dancing, and literal shaking from excitement - to tens of thousands of fans while helping creators monetize those fans at rates that are 10x higher than other platforms. We believe everyone deserves Applause and envisage a world in which every creator is powered by the passion of their fans.Applause was spun out of Workplay Labs in March 2021 after raising a $3M+ seed round from numerous luminaries within the tech industry.In June 2022, after the birth of my second daughter, I brought on a new CEO and transitioned to an advisory role.

RecruitBot’s mission is to unlock humanity’s potential by bringing people together with jobs they love. The company does this through deep machine learning, coupled with one of the world’s largest passive candidate databases, while making high-conversion outreach as simple as one click. While working as Workplay Labs' EIR and founding Applause, I joined RecruitBot shortly after its seed round as interim Head of Product. I was responsible for deeply understanding the company’s customers and establishing a holistic product strategy. This culminated in a redesign of the product from the ground up which I spearheaded, driving a 700% increase in the company’s North Star metric and, ultimately, a successful subsequent fundraising round.

Workplay Labs is the venture capital fund and technology incubator of a seasoned Silicon Valley entrepreneur, with over $1BN in backing. As Entrepreneur in Residence, I conducted customer and market research, assessed new investment opportunities, prototyped interesting concepts, and hired and advised teams to turn validated ideas into successful businesses.Applause was incubated and spun out of Workplay Labs.

Lyric was a professional operator of urban, short-term property rentals that combined the quality and consistency of a hotel experience with the space, flexibility, and community connection of a traditional short-term rental.As VP of Product, I led a team of 9 and drove the vision, definition, and execution of Lyric’s end-to-end suite of technology products — from internal operations tooling to customer-facing touch points to B2B SaaS offerings in the form of the Wheelhouse dynamic pricing engine. The product stack we created in-house enabled us to drive an over 10x increase in revenue, achieve a guest NPS of 60+ and raise the company’s $160M Series B round, led by Airbnb.Once COVID hit, the company pivoted back to focus solely on the Wheelhouse product (which saw an increase in MRR of over 3x during my time there due to an A/B testing framework we built).

As the first PM at Doppler Labs, a company that introduced in-ear computing for both AR and hearing health, I led definition and execution across all aspects of the company’s products, including hardware, firmware, backend, and our iOS / Android apps, growing revenue from $0 to $XM. While managing a team of 20 direct and non-direct reports across multiple disciplines, we shipped two iterations of our in-ear buds through which our customers could tune and enhance the world around them to their own preferences -- one iteration won SXSW’s 2016 ‘Best in Show’ and the other iteration, of which we sold XXK units, WIRED magazine called: "...one of the more thrilling gadgets I've tried in a long time.” The product also leveraged machine learning, together with a vast database of crowdsourced audio, to optimize noise suppression and amplification filters. These provided a salve to those with incurable hearing conditions who previously had no solution at all.

At Dropbox, I was the sole product manager responsible for negotiation, definition, and execution of a multi-year partnership with Microsoft. I brought together over 70 folks at the company to deliver a first-of-its-kind integration that enabled over 1M active users to access and edit Office documents stored in their Dropbox on their phones, tablets, and the Dropbox.com website. To enable the integration, we created new Dropbox mobile SDKs and a Dropbox app for Windows Phone from scratch. I PM’d during the day and wrote a significant portion of the iOS integration myself at night. Following the launch of the integration, we utilized A/B testing to optimize adoption and engagement rates, eventually driving a 200% increase in mobile editing adoption. The integration remains active today and is featured prominently in the Dropbox mobile apps and on the Dropbox website.

Livestar was my first foray into the tech startup world. Our goal was to provide personalized recommendations from people you trust (both critics and your friends). As a co-founder, I was the sole product manager and also did a substantial amount of Ruby-on-Rails, iOS, and SQL database development. Over 2+ years, we shipped multiple iterations of our Android and iOS apps with over 60% of users becoming recommendation publishers (vs. the typical 2 - 5% seen in products like Yelp); many users added well over 100 reviews. While at Livestar, I also hired and trained a team of 30+ data entry contractors in the Philippines to collect menu data. I designed and implemented the data entry system and ETL pipeline to collate a database of over 6M individual menu items, increasing throughput (number of items inputted per worker per hour) by almost 2x while reducing the error rate by c.50%.The company raised c.$2M in funding and was acquired by Pinterest in March 2013.

At Microsoft, I was a member of the seven person internal consulting team providing insight, analysis, and recommendations to Microsoft’s CEO, CFO, and other organizational leaders on M&A and business development opportunities. I worked on various projects including ‘The Future of Microsoft' (examining long-term strategic threats and paths forward), next generation entertainment content (financial modeling and strategic analysis of a potential partnership with a Hollywood studio), and genomics (exploration of opportunities to gain a competitive foothold in the space).In recognition of my work, I was rapidly promoted three times, including to Senior Strategy Manager in December 2009.

I joined Citi’s West Coast Technology Group in Aug 2007 after successfully securing a third-year placement (having previously been part of the European Transportation, Infrastructure and Services team in London).While at Citi, I undertook substantial, complex financial modeling to support numerous major potential M&A and equity capital markets transactions including private equity buy-sides, sell-sides ($200m online advertising business), strategic mergers, and IPOs ($300m European shipping company).

At Accenture, I designed and built a system (utilizing VBA, Access, and SQL) to manage the technical support tickets for the datacenters of one of the UK’s largest retailers. The system reduced median time to ticket close by 30%.Subsequently, I was asked to join the “Mission Control” team where I designed and developed a tracking application to facilitate the roll-out of backend IT infrastructure to over 400 retail locations across the UK.I returned to Accenture the following summer to turn the "Mission Control" system into a standalone product that was later sold onto other clients (including one of the UK’s largest banks).