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About the Role

We are hiring a Staff Engineer to report to the VP Engineering and work on our highest-stakes, most ambiguous technical problems. This is an execution role where you will lead through your output, judgment, and the quality of the standards you set. You will work on strategically critical projects that don't yet have a clear shape, giving them shape, de-risking them, making irreversible decisions visible, and driving them to completion. AI is central to how you work, not as a productivity tool but as a lever for judgment and scope, enabling you to take on problems that would otherwise require a team and build architectural foundations for others.

Responsibilities

• Lead through output, judgment, and setting quality standards.
• Shape and drive strategically critical projects from ambiguous starting points.
• De-risk projects and make irreversible decisions visible.
• Drive projects to completion.
• Operate across real-time AI workflows, reliability engineering, AI infrastructure and platform engineering, GTM engineering, and security, privacy, and compliance.
• Use AI as a lever for judgment and scope to tackle large problems.
• Build architectural foundations, including specs, conventions, and standards.
• Improve technical shape of problems and equip the team to handle future challenges.

Requirements

• Proven Technical Leadership: Shipped complex systems from ambiguous starting points.
• Proven Technical Leadership: Made high-stakes architectural decisions under uncertainty and can articulate tradeoffs.
• AI Proficiency: Use AI to decompose large problems, maintain coherence, and apply architectural judgment.
• AI Proficiency: Know when AI output belongs in the codebase.
• Product Judgment: Strong product instincts.
• Product Judgment: Define scope, make prioritization calls, and connect technical choices to outcomes without waiting for a PM.
• Product Judgment: Know when 'good enough now' beats 'perfect later' and vice versa.
• Force Multiplier: Make people around you better through quality of decisions, visibility of reasoning, and standards set in code review and architecture discussions.

Skills

• Real-time AI workflows
• Reliability engineering
• AI infrastructure and platform engineering
• GTM engineering
• Security
• Privacy
• Compliance
• AI
• Architectural judgment
• Product instincts
• Scope definition
• Prioritization
• Technical strategy

Location

• Remote
• Hybrid

Work Type

• Full-time
• Remote
• Hybrid

Experience Level

• Staff Engineer
• Proven Technical Leadership

Salary/Compensations

• $175,000 - $225,000 a year

Benefits

• Remote and hybrid work options & flexible work hours
• Comprehensive health and wellness coverage from day one
• Competitive PTO, including winter shutdown Dec 25 - Jan 1, birthdays and Taliversaries, and 'extra long' long weekends
• $2000 annually in "Knowledge Dollars" to learn, grow, and level up
• Quarterly socials & company outings

About the Company

• Tali AI is one of the fastest growing startups in Canada with the mission to use AI and make healthcare more accessible.
• We are building the AI platform for clinical workflows: automating data collection, processing, and sharing in healthcare, so clinicians can focus on actual care.
• Our platform is used by thousands of clinicians in Canada and the US, operating across dozens of specialties and deeply integrated with the fragmented landscape of North American health records systems.
• The technical north star is an operating system for clinical workflows: a platform that healthcare teams configure to automate their data work.
• Tali is one of Linkedin's Top Startups of 2025
• Tali is part of the renowned Digital Supercluster Project

Equal Opportunity

• Tali is committed to providing a barrier-free recruitment process for all candidates. Should you require accommodations at any point throughout the hiring process, please contact People & Culture at people@tali.ai.