Engineering Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Primarily remote, but must live within driving distance of the Toronto office; in-person attendance is required for quarterly meetings and occasional team get-togethers. New hires attend three days of onboarding in person, with travel and accommodation covered for those outside the local commuting area.
Base pay: $160,000–$195,000 CAD per year.
Company
is a Toronto-headquartered B2B SaaS company building generative AI tax research software for accounting and tax professionals.
What you will do
- Collaborate with Product and Engineering leaders to define goals, priorities, and success measures for the AI Content Platform.
- Advance systems for ingesting, understanding, curating, indexing, and rendering varied tax content for near-real-time use.
- Lead engineers in designing and building foundational systems and internal tools while guiding complex technical tradeoffs.
- Keep projects on track, communicate clearly with stakeholders, and support frequent, safe, high-confidence delivery.
- Coach and develop engineers, improve engineering practices, hire strong engineers, and clarify ownership and platform boundaries.
Requirements
- 7+ years of hands-on experience, including designing and building heavily used customer-facing SaaS products.
- 0–2 years of direct management experience with teams of 4+ engineers across student to Senior+ levels; the role is intended for someone new to engineering management who wants to grow.
- Experience shaping innovative products and technical direction with Product and Design, using an entrepreneurial and creative mindset.
- Strong architectural foundation and experience owning complex systems end to end, including roadmap creation, system design, implementation, and long-term evolution.
- Ability to operate as a senior-level individual contributor when needed, particularly during early context-building.
- Clear communication skills for explaining complex system designs to technical and non-technical audiences.
Nice to have
- Experience with data pipelines at scale, especially alongside RAG systems.
- Experience building ingestion systems for heterogeneous trusted and untrusted data.
- Experience with fault-tolerant, resilient, event-driven distributed systems.
- Experience managing cross-functional projects, maintaining alignment, and proactively communicating risk.
Culture & Benefits
- Primarily remote work with occasional travel to the Toronto office and conferences.
- Quality, lean iteration, thoughtful system design, customer focus, teamwork, openness to better ideas, and rapid improvement are core values.
- Competitive base salary, stock options, and benefits supporting employees and their families.
- Leadership scope in a fast-growing, well-funded company with resources for ambitious platform initiatives.
- Inclusive, accessible, and collaborative working environment with reasonable interview accommodations available.
Hiring process
- Stages include a conversation with Talent Acquisition, a leadership interview, a technical deep dive, and a system design exercise.
- Final stages include meetings with the CTO, CEO, and other team members.
- Applications are reviewed by humans; AI-enabled tools assist with application organization and profile matching but do not make hiring decisions.
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