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HomeRoboticsDave Bottoms, VP of Product at Upwork - Interview Sequence

Dave Bottoms, VP of Product at Upwork – Interview Sequence


Dave Bottoms leads Upwork’s Market group, a world crew liable for the core Expertise Market, search and discovery, advertisements and monetization, core cell experiences, in addition to new product innovation and analytics.

Dave brings greater than 20 years of Silicon Valley expertise to Upwork. He joined the corporate in 2022 from Meta, the place he led the Advertisements Supervisor Platform and Experiences crew, liable for the flagship enterprise product utilized by hundreds of thousands of small companies and world advertisers to drive useful enterprise outcomes throughout Fb and Instagram. Previous to Meta, Dave led the self-service buyer progress crew at Dropbox and a number of product groups at Yahoo!, together with these for the Homepage, Information, Sports activities, and different core media experiences.

Upwork started over twenty years in the past by pioneering a greater method of working, serving to companies discover extra flexibility and connecting expertise with extra alternatives.

Upwork, a 20-year-old platform, is present process important transformation beneath your management. What are the challenges and alternatives in driving innovation in such a well-established firm?

It’s an thrilling time to be at Upwork as we’re each driving a change throughout our merchandise and platform, in addition to leveraging AI instruments to alter how we work and construct new capabilities and workflows. In some ways, we’re a  mature, public firm who’s operated via varied incarnations and adoption cycles, however the brand new age of superior machine studying and generative AI has been an amazing boon to innovation and product options we’re capable of ship to our clients.

As with every main technological shift and particularly throughout this era of AI enlargement, challenges and alternatives emerge as new capabilities are born. At Upwork, we see AI as a force-multiplier for our platform and for the gifted professionals who use it not solely to enhance work for shoppers – whether or not that’s coding, advertising, analysis or design – but in addition in getting began on that work sooner. It’s additionally an accelerant for the companies on our market which are discovering expertise to drive to their true enterprise outcomes extra shortly.

One problem is guaranteeing that the mixing of AI into our merchandise addresses actual and substantial buyer issues. We’re not simply constructing or including new options for the sake of offering one thing “new,” however actually leveraging the facility of varied AI fashions to drive elevated effectivity and options for the freelancers and companies that use our platform on a regular basis. Happily, we’re in an advantageous place to drive these outcomes with AI instruments due to the great quantity of high-quality sign –from real-time behavioral knowledge to wealthy, historic knowledge – that now we have amassed from a various vary of particular work supply that goes again a few years. We’re utilizing this knowledge to coach our customized giant language fashions (LLMs), energy lots of our newest product experiences, and ship one of the best work outcomes for our clients.

Along with your in depth expertise at Meta, Dropbox and Yahoo, how has your method to product administration advanced? What classes have you ever carried ahead to your present position at Upwork?

My method to product administration has advanced to emphasise a stability between user-centric design and scalable innovation. There aren’t many locations higher than Meta for studying easy methods to construct merchandise at scale and for a various vary of customers – Fb and Instagram have billions of energetic every day customers! In my position main product for the Advertisements Supervisor Platform and Experiences crew, I discovered easy methods to handle world, cross-functional groups constructing merchandise that cater to each small and medium-sized companies in addition to giant world companies supporting Fortune 100 enterprises.

Moreover, my experiences at Dropbox and Yahoo have been essential in serving to me develop a deep understanding of product-led progress mechanics for SaaS options, in addition to content material personalization and easy methods to stability “large bets” throughout a portfolio of shopper media merchandise. Each roles required a holistic understanding of product technique and improvement from new product idea prototyping to launch and driving shopper adoption. I discovered easy methods to ship merchandise and handle the groups that constructed these merchandise.

Now at Upwork, I benefit from drawing on the final 15-years of Product Administration expertise to information and steer innovation at an organization that’s reshaping the way forward for work. Unquestionably, the most important problem is how freelance expertise and small to mid-sized firms grapple with how greatest to embrace and undertake the AI know-how wave.

Throughout my earlier experiences, I’ve seen some seismic technological shifts just like the one we’re now seeing with AI –from the rise of social media to the shift to smartphones and the necessity for merchandise to be mobile-first. Whereas large technological shifts can imply large adjustments, at its core product improvement continues to be about doing one factor persistently effectively – fixing buyer issues. With the rise of AI, technological developments are offering an enormous alternative to reinvent Upwork merchandise so that companies and expertise work higher collectively and produce stronger outcomes. We’re beginning to understand some early wins with our latest launch of Uma, Upwork’s Aware AI.

How do you stability making small, medium, and massive bets in AI product improvement, particularly given the speedy evolution of AI applied sciences? May you share an instance of how this technique has been carried out at Upwork?

AI product improvement requires a strategic mix of experimentation, scalability, and long-term imaginative and prescient. One core framework that I take advantage of in product planning that has been useful in growing AI merchandise at Upwork is what I prefer to name a VC-approach to product improvement, the place I’m balancing a wide-range of portfolio merchandise. About 40% of what my crew is engaged on is large rocks or large bets that may have a really giant influence on the enterprise, but in addition are greater danger gadgets and take a substantial period of time. The remaining 60% is break up in half on close to time period gadgets that I’ve excessive confidence the crew will execute towards the plan on, however seemingly gained’t have a serious ROI for the enterprise and the opposite 30% is product work that retains the lights on like fixing bugs. AI at Upwork is a giant guess for us. It’s tough from a improvement perspective requiring a excessive stage of experience, however the advantages will be large and so we’ve allotted a wholesome portion of our product focus to this space of labor over the past yr.

We launched job submit generator, which is now powered by Uma, Upwork’s Aware AI, in the direction of the tip of final yr for instance of a “large guess” product that happened via a technique of experimentation from our in-house product incubation crew, Upwork Labs, and scaled right into a viable resolution. With the rise of generative AI final yr, the crew explored a myriad methods to assist our clients reap the benefits of the chance the brand new know-how introduced. We knew that shoppers usually encountered the impediment of beginning with a clean web page when describing their work wants. As such, we got down to decide how we may use generative AI to beat this problem. Final yr, we introduced a serious enlargement of our AI choices together with the launch of job submit generator, which is an AI-powered generator of a job submit that helps shoppers get a job submit drafted in seconds.

How does Uma, Upwork’s Aware AI, differentiate itself from different AI options available on the market, notably when it comes to enhancing the hiring and matching course of for companies and freelancers? 

AI fashions are solely as highly effective as the info that they’re skilled on. Uma is constructed on prime of industry-leading giant language fashions (LLMs) and customised with Upwork platform knowledge, and it’s this customization that differentiates it from different AI options in our {industry}. At this time, Uma powers quite a few key experiences within the hiring and matching course of which are essential to shoppers and freelancers discovering one another, getting began, and finishing extra high-quality work. We’re capable of improve these work actions as a result of now we have entry to twenty+ years of knowledge, trillions of tokens of particular and extremely related knowledge from our two-sided market that embody a variety of labor interactions. Uma learns off these knowledge factors to function a relentless, clever companion for our clients, serving to companies and freelancers each step of the way in which throughout all the Upwork expertise.

With options like Finest Match insights and Upwork Chat Professional, how is Uma particularly tailor-made to assist freelancers stand out and safe extra initiatives? What suggestions have you ever acquired from freelancers through the beta section?

Powered by Uma, Finest Match insights assist companies discover one of the best potential individual for his or her job shortly by figuring out related insights like prime proposals, consumer critiques, and ability alignment with a job submit. From the freelancer’s POV, it particularly highlights initiatives that carefully align with a freelancer’s expertise and preferences due to this fact rising their probabilities of being observed by potential shoppers and discovering work that most closely fits their experience. With Upwork Chat Professional, Upwork’s work companion powered by Uma, freelancers have a devoted chat app that helps them resolve difficult duties, enhance productiveness, and do their greatest work.

We’re excited in regards to the development of those key experiences and located that in early releases freelancers reported elevated visibility and extra focused venture matches, resulting in greater engagement and success on our platform. Simply this previous quarter, every day energetic customers of Upwork Chat Professional grew 68% quarter-over-quarter, and we’re seeing freelance professionals beginning to land extra work and earn extra consequently.

How do you envision the way forward for work evolving over the following decade, notably with the mixing of AI and rising applied sciences?

It’s laborious to not see a future, not less than within the close to time period, the place AI turns into increasingly more embedded in our day-to-day work and lives. Companies and professionals will proceed to include AI into their workflows and this can result in elevated productiveness. It’s essential to notice that people stay an important part of this future. As AI more and more handles routine duties and offers useful insights on command, professionals will develop into sooner, extra environment friendly, and be capable of do extra. Jobs and expertise will naturally evolve, as they do in most technological shifts. Whereas some jobs might change or fade, many others will emerge, compelling people to adapt. We’re already seeing many conventional roles being remodeled by automation, necessitating upskilling or reskilling, whereas new alternatives are arising in areas that complement AI, corresponding to knowledge annotation, curation, and AI safety, to call a number of. People will more and more deal with duties requiring emotional intelligence, creativity, essential pondering, and sophisticated problem-solving—areas the place human ingenuity excels. With AI taking over routine duties, we could have the latitude to deal with extra intricate, strategic, and urgent challenges inside our organizations. It’s an thrilling future and I’m proud to be at an organization that’s leaning in and main on the forefront of its {industry} in terms of AI.

Thanks for the nice interview, readers who want to be taught extra ought to go to Upwork

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