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BrainStation is seeking a Learning Advisor to support growth of BrainStation’s products in Toronto and online, globally. You will advise professionals, drive revenue-generating activities, and build communities through events, while collaborating with product and design teams to curate digital learning experiences.
Ideal candidates are goal-oriented, energetic, and passionate about education and technology, with a Bachelor's degree and a drive to grow with BrainStation.
BrainStation offers world-class digital skills learning courses, programs and workshops for professionals to kick-start or accelerate their careers in AI, data, design, technology, marketing and product. Our team of Learning Advisors are responsible for supporting the growth of BrainStation’s products in-person in Toronto and online, globally. Living at the intersection of technology, education and growth, you are an individual who is fascinated with all things digital, thrilled to democratize learning, and eager to contribute to BrainStation’s overall success.
BrainStation is a global leader in digital skills training and workforce transformation. Established in 2012, BrainStation works with instructors from the most innovative brands to develop and deliver cutting-edge, real-world digital education that has empowered professionals across the world.
Have you been to a campus or joined an online learning opportunity? We are actively seeking individuals that believe in lifelong learning and that have taken part in our On Campus or Online offerings .
BrainStation is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation. The estimated compensation for this position is $65,000 to $95,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.