6 дней назад
Senior Manager, Engineering – AI & Innovation
130 000 - 160 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Engineering – AI & Innovation (AI/ML): Leading the people, roadmap, and outcomes for Innovation Crew and Launch Lab, covering AI proof-of-concepts, agentic AI delivery, and production hand-offs with an accent on team scaling, enterprise governance, and measurable engineering impact. Focus on translating AI strategy into executable roadmaps, managing agent lifecycles, coordinating Snowflake AI/ML and cloud partnerships, and reporting delivery metrics to executive leadership.
Location: Remote in Canada or the USA
Salary: CAD 130,000–160,000 or USD 140,000–170,000 per year
Company
powers automotive-related decisions through proprietary data, advanced analytics, industry expertise, and workflows that connect insight to action.
What you will do
- Lead, hire, coach, and grow the AI & Innovation function, including performance management, career development, and organizational design.
- Translate enterprise AI strategy into quarterly roadmaps for Innovation Crew and Launch Lab, balancing proof-of-concept delivery, Power Agents, AI Standards, emerging technology, and production hand-offs.
- Own the intake process, operating cadence, escalations, and delivery decisions when stakeholder demand exceeds team capacity.
- Build effective partnerships with DevOps & AppSec and Cloud Engineering to support CI/CD, infrastructure, and application security needs.
- Manage executive reporting for proof-of-concept velocity, Power Agents adoption, engineering hours saved, AI Standards compliance, and DORA metrics.
- Lead agent lifecycle management and cross-functional initiatives including AI Everywhere, agentic AI framework maturity, and Snowflake AI/ML integration.
Requirements
- 8+ years of software engineering experience with a demonstrated record of directly managing engineers.
- Experience leading or scaling an AI/ML, platform, or innovation-focused engineering function, including agentic AI, LLM-based systems, or prototype-to-production delivery.
- Experience partnering with VP-level or executive leaders to create executable, resourced roadmaps and make prioritization decisions.
- Experience owning delivery metrics and KPIs and reporting them to senior leadership on a recurring basis.
- Hands-on familiarity with agent frameworks, internal agent libraries, or MCP/A2A-style integration patterns is preferred for technical collaboration with AI engineering leadership.
- Must be legally authorized to work in the country where employment is offered; employment sponsorship is not provided.
Nice to have
- Familiarity with Snowflake, AWS, DevOps, and application security disciplines.
- Experience leading teams across both 0-to-1 prototyping and applied production delivery.
- Existing relationships across engineering, product, legal, information security, or business units at .
Culture & Benefits
- Virtual-first environment with flexible work arrangements.
- Medical, dental, vision, disability, and life insurance options.
- Retirement savings programs, paid time off, wellness programs, and other company-sponsored benefits.
- Learning and development opportunities within a collaborative, data-driven culture.
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