Browse Jobs in Cambridge, Canada
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Mechanical Design Manager
🇨🇦 Cambridge, Ontario, Canada
Ats Industrial Automation 🇨🇦 Cambridge, Ontario, Canada
Lead the mechanical automation engineering team by forecasting workload, assigning resources, overseeing design deliverables, and ensuring projects meet schedule, budget, quality, and safety requirements. Develop staff and departmental capabilities, monitor KPIs and improvement plans, support project execution and sales quoting, and ensure compliance with engineering standards and nuclear quality requirements.
Mechanical Design Manager
🇨🇦 Cambridge, Ontario, Canada
Ats Automation 🇨🇦 Cambridge, Ontario, Canada
The Mechanical Design Manager is responsible for overseeing engineering project workloads, managing staff performance, and ensuring design plans meet schedule and budget requirements. They also provide technical expertise for manufacturing and installation while fostering a culture of continuous improvement and safety.
How design hiring is changing in 2026
Design hiring has changed. Craft alone is no longer enough. Top teams now expect designers to ship live code, work alongside AI tools, and prototype fast.
Whether you are a Product Designer shipping features or a Graphic Designer guiding AI-generated visuals, the strongest roles reward deep craft and tool fluency together.
DesignJobs lists roles from companies leading the shift, including OpenAI, Anthropic, Vercel, and Linear. Spend less time searching, more time on the work.
Across all roles, the biggest differentiator is technical literacy. For Product Designers, this means "vibe coding" and functional prototyping. For Brand Designers, it's managing generative identity systems. The ability to leverage AI to move faster while maintaining human-centered quality is what separates top candidates today.
The design world is increasingly distributed, though many AI leaders now favor hybrid hubs. While companies like Figma, Notion, and Anthropic often prioritize collaboration in SF or London, we also feature truly remote-first teams like PostHog and Supabase. Use our "Remote Only" toggle on the main jobs page to filter for positions that allow you to work from anywhere.
While not a strict requirement for every role, it is becoming the standard for Design Engineering and high-growth Product roles. Being able to express design intent through code allows you to iterate at the speed of thought. We recommend designers bridge the gap using tools like Cursor, v0, and Replit to stay competitive.
Our AI Job Matcher analyzes your specific skill set, portfolio style, and career goals to surface roles you might miss with a traditional keyword search. It is designed to understand the nuance of your "design vibe" and match it with the culture of hiring teams at companies like Google and Perplexity.
Absolutely. In 2026, we are moving beyond "chatbots" to autonomous agents. Agentic UX involves designing systems that take action on behalf of the user. Your portfolio should demonstrate how you handle agentic trust, error states in autonomous flows, and "human-in-the-loop" verification points.
Yes! We feature a wide range of entry-level and junior design jobs across all categories. While the market is competitive, companies are actively seeking early-career designers who demonstrate technical agency and a willingness to master AI-assisted workflows.
We prioritize listings with transparent salary data. In 2026, compensation for roles like Design Engineering has seen significant growth due to the scarcity of hybrid "design-dev" talent. For deeper insights, check out our 2026 Design Salary Guide.
In 2026, the term Product Orchestrator refers to senior designers who direct AI-integrated systems rather than handcrafting every screen. While a Senior Product Designer focuses on the craft and technical agency, an Orchestrator focuses on cross-functional strategy, data logic, and aligning generative outcomes with business ROI.
Yes. High-growth companies like OpenAI look for portfolios that prove you can design for safety. This means showing how users can edit, override, or approve AI-generated outputs, ensuring the human remains the final decision-maker in the workflow.