Startup jobs of the week: Sensibill, QuickTapSurvey, K2 Digital, Gymtrack, Maluuba


Every day, Canada’s best startups post the latest job opportunities on the BetaKit Job Board; from early stage to series A, FinTech to wearables, the BetaKit Job Board puts startups from all over the country into the spotlight.

The best part about the BetaKit Job Board is that anyone can contribute. It’s pay-what-you-can to post, and all donations go to the Betakit.Fund, which will be invested into events and initiatives that grow Canada’s startup community.

Here are the latest job postings:


Sensibill is looking for a product manager

Sensibill is looking for a product manager that it says can “get their hands dirty”. The product manager will own and evolve the one to three year product roadmap, including continuous review and revision based on shifting priorities, define monthly and quarterly milestones, and track the product’s performance against user adoption and usage KPI targets. The applicant should have three to five years of experience in a similar field and be adept at articulating requirements from the perspective of users.

QuickTapSurvey is looking for an iOS Team Lead

QuickTapSurvey needs a team lead that has at least three to five years of experience as a senior developer and experience leading and managing a team of developers. It should be noted though that experience with Objective C & XCode, iOS, SDK and Frameworks, iOS design patterns, Autolayout, and Git / GitHub is necessary.

K2 Digital is looking for a full stack developer

K2 Digital, a technology and marketing solutions provider, is looking for a full stack developer with at least two years of experience with Laravel, Yii, Code Igniter, Symfony or other PHP MVC, or Ruby on Rails. The developer will be responsible for end-to-end development of software systems and providing input to tech leaders and account teams to define deliverable or timelines.


Gymtrack is looking for a data scientist

Gymtrack is looking for a data scientist to help with the development of its system, which allows gym members to receive virtual coaching and automatically track their workouts. The data scientist should have a Master’s degree or PhD in machine learning, computer science, statistics, or engineering, experience applying statistics and/or machine learning to solve problems, and expertise in the use of a data analysis environment like R or MATLAB.


Maluuba is looking for a machine learning engineer/data scientist

Maluuba, which recently raised a $9 million Series A, is looking for a machine learning engineer/data scientist. The company needs a Deep Learning Researcher to design and develop deep learning models for natural language and conversational dialogue systems equipped with a Ph.D. or Masters in CS machine learning, statistics, or a related field and hands-on experience with Python.

Jessica Galang

Jessica Galang

Freelance tech writer. Former BetaKit News Editor.