Software Engineer II, Business Systems

• You go to the work. You’d rather sit with an operator and watch the process than wait for a finished requirements doc.
• You redesign the workflow, not just automate the task - you ask why a process exists in that shape before you build.
• You’re a real engineer who respects the platform. You’ve worked in Salesforce and don’t consider it beneath you; when the no-code path runs out of road, you’re who builds past it, bringing engineering rigor to a surface that’s often had none.
• You can hold the business conversation. Half the job is translating what an operator needs into what to build - and pushing back when the ask is wrong.
• You know when the answer is an agent, when it’s deterministic automation, and when it’s not software at all.
• You own ambiguity end-to-end - observe, build, validate, ship.
• You’ve probably been an early engineer somewhere: a founding or small team where you wore every hat and shipped before the requirements were clear, or you work like someone

What You’ll Do:

• Design, build, and ship internal applications and services end-to-end, with clean architecture and long-term maintainability as the baseline.
• Build and integrate APIs across the marketing, sales, and client operations stack - telephony, marketing automation, sales engagement, support, and BI - with reliable handoffs and schema integrity.
• Build and own data pipelines that feed reporting and operational systems.
• Extend and maintain our Salesforce platform (Flows, Apex, Lightning Web Components) to the same engineering bar as everything else you build.
• Design AI-native workflows and agents where they create real leverage, with the guardrails and human-in-the-loop controls to run them in production.

• 5+ years hands-on software engineering - full-stack, backend, or systems backgrounds preferred
• Fluent in a modern language or two (e.g., Python, JavaScript) and quick to pick up the next
• Experience with agentic coding tools (e.g., Cursor, Claude Code, Codex)
• Fluent in SQL, and strong on data architecture - schema design, data modeling, and pipelines
• Builds usable interfaces - UX/UI sense for internal tools people actually want to use
• Designs API integrations with attention to schema mapping, error handling, and data fidelity
• Has built or integrated with Salesforce (Apex, Flows, APIs) and is willing to keep going deep on it
• Ships production software with version control, testing, and CI/CD as default
• Owns the full development lifecycle - from requirements through UAT, release, and iteration
• A point of view on where AI and agents create leverage in real workflows, from hands-on building
• Bonus: entertainment or project-based industry experience; telephony integration (e.g., Zoom Contact Center); Salesforce certifications

In addition to a competitive salary and all the benefits you can expect from a fast-growing technology company, you’ll get access to a team of creative problem solvers and the chance to see your contributions make large impacts. Benefits include:

• Unlimited Paid Time Off
• Work from anywhere in Canada and USA
• Health and Dental benefits
• Up to $1,500 USD/ $2,025 CAD towards IT set up for your home
• Up to 2% matching RRSP / 401K
• Learning and Development opportunities
• Up to $50 USD/ $67.50 CAD towards Internet/Cell phone service

Our Pledge to Fostering an Inclusive and Safe Workplace:

Wrapbook pledges to be a harassment- and discrimination-free space for everyone, regardless of age, disability, ethnicity, gender identity or expression, nationality, neurotype, personal appearance, political affiliation, professional background, race, religion, or sexual identity or orientation.

You’ll build the internal software that runs Wrapbook’s marketing, sales, and client operations - full-stack: interfaces, back-end services, APIs, and data pipelines. Salesforce is one of the systems you’ll build in and integrate with, alongside the custom applications and services you’ll own. This is an AI-native team: you’ll use agentic coding tools to prototype fast and ship to production, work across a cloud data stack, and build LLM-powered features into the products you ship.