Product Manager

About Sharethrough

Sharethrough is one of the top global independent omnichannel ad exchanges. Driven by our conviction that advertising should be underpinned by respect & care, we believe taking a human-centric approach to advertising and monetization is the key to a sustainable path forward for the independent and accessible internet to thrive.

With headquarters based in Montreal, QC, Sharethrough promotes a remote-first work environment to allow us to hire top talent all across North America!

We’re looking for a Product Manager who shares our passion for building data-driven products.  Data-science and machine learning are at the core of our scaled and differentiated exchange, and we believe that we’ve just scratched the surface.

• As the Product Manager of the Smart Suite team, you will develop data feedback loop products that curate and price the Sharethrough Exchange’s inventory using data science models and data pipelines.  Your products will customize over six million requests per second in real time, increasing our value to customers and creating a more cost efficient exchange.  You will work closely with the other nine members of the team, made up of Data Scientists, and Engineers specializing in distributed systems and ML ops.  Together, you will work to expand the impact of data-driven products throughout the entirety of Sharethrough’s product suite.

• Discover and prioritize new customer problems to solve through customer interviews, exploratory data analysis with Data Science, and close collaboration with internal stakeholders like engineering, solutions, operations, and sales.
• Partnering with engineering and data science leads to design experiments and validate hypotheses during all stages of development while executing on your roadmap.
• Empower a productive Agile team by leading effective scrum ceremonies, building a culture of documentation, and celebrating your frequent wins.
• Define, track, and improve upon key business and product success metrics in collaboration with our Data and Business Intelligence teams.
• Develop a comprehensive strategy for the future of data driven products at Sharethrough.

• You have around 4-7 years of professional experience
• 2-3 years experience as a product manager of ML-driven products or in an analogous space (e.g. two sided auctions or similar problems with extensive data science, empirical analysis and engineering needs)
• Proven experience in building experimental products that are powered by data feedback loops
• Proficiency in running SQL queries is preferred as is prior experience with data science and data processing frameworks
• Interest in and exposure to lean startup methodologies and processes
• First-hand working experience with agile/scrum software development methodologies
• Equally comfortable with seeing the “big picture” and meticulously thinking through every requirement of online development projects
• CS, engineering, math, economics or statistics background required
• Fluency in French and English (oral and written), especially to communicate with our international colleagues and clients

• Inclusive, inspiring, and dynamic work environment
• Remote first with an emphasis on flexibility
• Competitive compensation package
• Generous group health insurance plan
• Stock Options after 1 year
• Access to the virtual healthcare platform Dialogue
• 16 days of vacation per year, which increases when you stay longer at Sharethrough
• 3 paid Caring days plus 1 paid volunteer day
• Offices closed during the holidays
• Wellness allocation of $840 per year (for gym memberships, sportswear, etc.)
• Monthly phone/internet stipend
• In-house training programs on our company and industry
• Encouragement and funding of continuing education and training
• Very active social committees
• And more !

• Want to apply but feel like you don't meet every requirement? Apply anyways! Studies show that women and minorities are less likely to apply if they do not exactly fit all the requirements in the job description. At Sharethrough, we are dedicated to building a diverse and inclusive workspace, so if you feel eager about this opportunity but feel like your experience is not perfectly aligned with the job description - apply! There may be other roles you may fit the profile for.