Customer Support Engineer
VercelFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is CA$60K - CA$65K.
Secoda has a Hybrid Office Policy with Tuesdays, Thursdays, and every other Friday as in-office days at their office in Liberty Village.
Candidates need a minimum of 1 year of experience in Technical Customer Support, strong communication skills with empathy and urgency, technical mindedness, product focus, natural curiosity, and fast-learning ability. Nice to haves include experience with early-stage startups and familiarity with SQL, Javascript, APIs, and GitHub.
Secoda prioritizes ambitious, self-starting great teammates with a deep sense of ownership, fostering curiosity, resilience, and in-person team connection through hybrid office days, team activities, retreats, and social events.
Benefits include competitive base and variable compensation with equity, medical/dental/vision coverage from day 1, $1000 Healthcare Spending Account, $500 Taxable Spending Account, unlimited time off, mat and pat leave top-up, $1000 Learning & Development benefit, team activities, retreats, and lunch on in-office days.
Data management and enablement platform
Secoda provides a platform for data management and enablement, helping organizations track, document, and discover their data efficiently. The platform is especially useful for businesses that deal with large amounts of data, ensuring that it is accessible, understandable, and trustworthy. Key features include data lineage tracking, which shows the origin and flow of data, and comprehensive data documentation tools that help create data dictionaries and metadata repositories. This functionality enhances transparency and trust in the data used by teams. Secoda serves a wide range of clients, from small startups to large enterprises, and operates on a subscription model, allowing clients to access various features based on their needs. The goal of Secoda is to provide a single source of truth for data, improving collaboration and productivity within data-centric organizations.