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About Floqer is a venture-backed startup and one of the fastest-growing early-stage companies in Canada. Our customers include Perplexity, AngelList, Wise, and other ambitious global tech companies. GTM teams today waste hours stitching together fragile tool stacks just to get basic insights on their customers. Floqer is the platform that lets humans and AI agents build powerful automations for the work GTM teams have been doing manually, so they can focus on selling, not plumbing. The Role We’re hiring a full-time Software Engineer to join our on-site team in Toronto. You’ll own problems end-to-end and work directly with both customers and internal teams. You will: Talk to customers and internal users to deeply understand their workflows and pain points. Scope implementation plans, think through edge cases, user journeys, and system implications, then build and ship them. Operate as an owner, not a ticket-taker, with direct impact on a product used by some of the best companies in the world. Qualifications Strong CS fundamentals: data structures, algorithms, and system design. Proficiency with AI-assisted development tools (e.g. Codex, Claude Code, Cursor). Experience with Cloud and event-driven systems for building at scale. Our backend currently handles 700M+ runs per week, and we need to scale this to over 10B+ per week. Experience We’re hiring for multiple roles. Your foundational concepts must be solid, and you should be able to learn and adapt fast. We don’t care about your # of years of experience. Compensation & Work Setup Salary: 70K–220K plus meaningful equity, scaled with experience. This is an in-person role in Toronto; we work 996. For a feel of the culture, see this post: https://www.linkedin.com/posts/shivammahajan1_solve-a-real-problem-get-real-customers-ugcPost-7447429700953534464-8hXy https://www.linkedin.com/posts/shivammahajan1_every-week-some-company-tries-to-poach-floqers-share-7484000628285915137-uHMQ/?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAB3OAUwB11P29A_JJDz4PrUERDgsiIFXMbI

What you’ll do

The engineer will own problems end-to-end, from talking to customers to understand workflows to scoping and shipping implementation plans. They will build and scale a platform that automates GTM team workflows using AI agents.

Requirements

Candidates must have strong computer science fundamentals and proficiency with AI-assisted development tools like Cursor or Claude Code. Experience with cloud and event-driven systems is required to scale the backend from 700M to 10B+ runs per week.

Benefits

• Equity

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Structures
• Algorithms
• System Design
• AI-assisted Development
• Cloud Systems
• Event-driven Systems
• Scaling
• Product Ownership

Job areas

• Software
• Technology
• Engineering