Ready to help reshape a $26B industry and build the future of branded merch?

commonsku is revolutionizing the promotional products industry. Our platform empowers branded merch distributors to work smarter — managing projects, building quotes, placing orders, and collaborating with clients and suppliers seamlessly through the power of the Connected Workflow.

We’re a remote-first, community-driven team obsessed with elevating our customers, their clients, and the broader industry. Our values – Community First, Ten Steps Ahead, Fast Forward, and Delightful Work – guide us. We believe you can innovate, push forward, and do more, while also sharing a laugh, supporting your colleagues, and having a life outside of work. We’re also proud to be officially recognized as a Certified Great Place to Work® in Canada.

If you’re energized by ambitious work, creative collaboration, and helping to build something great, you’ll want to keep reading.

About the Role: Engineering Manager, Data

We’re growing — and we’re hiring an Engineering Manager, Data to join our Engineering team In this role, you’ll help us build reliable data pipelines, deliver actionable reporting and analytics, and guide the people and technical strategy of our Data team. You’ll collaborate closely with teammates across Product Management, Design, Customer Success, and broader engineering teams, contribute to a high-trust environment, and play a direct role in shaping the future of the industry

About You

You’re not just looking for a job — you’re looking for a place to do your best work. You bring:

- A community mindset — You see customers as partners and coworkers as collaborators. You lift others up,



always follow through on your commitments, and thrive in a team that does the same. (Community First)

- Momentum and ownership — You act with optimism, take initiative, and turn ideas into results. You move fast and bring others with you. (Rapid Forward)

- Vision and boldness — You don’t just react — you anticipate. You think big, challenge the status quo, and push the work (and the industry) forward. (Ten Steps Ahead)

- Joy in the craft — You care deeply about what you build and how it makes people feel. You bring thoughtfulness, transparency, and a sparkling sense of humour to the table. (Delightful Work)

What You’ll Do

Here’s what you’ll do:

- Own the Data team's roadmap by collaborating with Product Management and business partners to set priorities, clarify requirements, and deliver long-term initiatives.

- Scope and stage complex, cross-functional projects into clear milestones to keep delivery predictable and align with 12–18 month platform needs.

- Lead, mentor, and support a team of data engineers and analysts through regular 1:1s, actionable feedback, and structured career growth.

- Establish standards for data quality, reliability, documentation, and observability across pipelines and reporting to ensure business-wide trust in data.

- Act as a technical thought partner, reviewing designs,



applying sound engineering judgment, and setting clear guardrails for data privacy, accuracy, and security.

- Champion agile practices and explore the thoughtful adoption of AI tools within the team for building pipelines, analysis, reporting, and documentation.

- Communicate technical trade-offs, progress, and risks in plain language to technical and non-technical stakeholders across the company.

What You Bring

Some of the qualities that help you thrive in this role:

- 7+ years of hands‑on experience in data engineering or analytics, alongside 2+ years of experience leading engineering teams, managing performance, and supporting career growth.

- Solid technical foundation in SQL, data modeling, data pipelines, and reporting tools to effectively review solutions and guide technical direction.

- Demonstrated capability in roadmap planning, project scoping, and cross‑functional stakeholder management.

- Excellent written and verbal communication skills, with a track record of translating complex technical concepts for non‑technical partners.

- Comfort working independently and asynchronously, while also prioritizing collaboration and connection with people

- Experience (or excitement for) working with AI and applying AI tools safely and effectively to data workflows

- Bonus: Familiarity with SaaS data architectures, Snowflake, or the promotional products industry

Compensation & Perks

We believe in fair, transparent compensation. Starting salary for this role is $150,000–$170,000, depending on previous experience and skillset, plus a 5% annual bonus opportunity based on company p

📌 Engineering Manager, Data (Toronto)
🏢 Commonsku-1
📍 Toronto