- TvScientific is the first and only CTV advertising platform purpose-built for performance marketers
- We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes
- Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform
- Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business
- We are looking for inquisitive, well-rounded engineers to join the tvScientific team
- Working closely with product managers, designers, data scientists, and other engineers, you’ll play an important role in enabling the newest technologies and experiences as we scale and evolve
- You will build robust frameworks & features
- You will empower both developers and Pinners alike
- You’ll have the opportunity to find creative solutions to thought-provoking problems
- Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive current initiatives, seeing them from inception through to technical design, implementation, and release
- Build out the backend for Pinner-facing features to power the future of inspiration on Pinterest
- Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users
- Partner with design, product, and backend teams to build end-to-end functionality
- Put on your Pinner hat to suggest new product ideas and features
- Employ automated testing to build features with a high degree of technical quality,



taking responsibility for the components and features you develop
- Grow as an engineer by working with world-class peers on varied and high impact projects
- Design, develop, and operate large scale, distributed systems and networks
- Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner
- Actively work to improve the developer process and experience in all phases from coding to operation
- Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches)
- Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks)

Experience in following best practices in writing reliable and maintainable code that may be used by many other engineersProficiency in common backend tech stacks for RESTful API, online service, storage, caching and data processingAbility to keep up-to-date with new technologies to understand what should be incorporatedExperience in Python, Java, C++, or Go or another language and a willingness to learnExperience building & operating large scale distributed systems and/or networks. Bonus points if you enjoy deploying and operating large scale workloads on a public cloud footprintStrong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)Strong collaboration and communication skills2+ years of industry backend development experience, building consumer or business facing productsBachelor’s degree in a relevant field such as Computer Science, a related field or equivalent experienceDemonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputsHigh integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

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📌 Software Engineer (tvScientific) (Toronto)
🏢 Pinterest
📍 Toronto