Lead Moonshot's AI Safety portfolio, combining violence prevention and online harms expertise with AI system safety evaluation. Serve as primary applied AI safety counterpart for frontier AI companies, governments, and regulators through red teaming, adversarial evaluation, and advisory work.
Experience in trust and safety, online harms, violence prevention, safeguarding, or public health adaptable to AI systems
Curiosity about AI with ability to build technical fluency quickly for credible engagement with technical counterparts
Experience designing research, evaluation frameworks, or interventions for violent extremism, CSEA, self-harm, crisis, or targeted violence
Demonstrated experience managing projects, teams, budgets, partners, and clients with strong people management skills
Excellent written communication producing credible material for government, foundation, or enterprise audiences
Comfort and resilience working with highly sensitive or graphic content with awareness of wellbeing practices
Strong judgment navigating ambiguity, competing priorities, and sensitive stakeholder environments with external representation
Willingness to travel and work outside regular hours for clients or incident response
Highly trustworthy with discretion and diplomacy willing to undertake security clearance procedures
Experience supporting business development, grant funding, or procurement
Commitment to Moonshot's mission
Eligibility to work in Canada with successful standard background check and security clearances per client needs
Lead and quality-assure applied AI safety work across harm categories using red teaming and adversarial evaluation methods
Advise frontier AI companies on improving model, product, policy, and intervention system safety
Translate subject-matter expert insights into actionable guidance for model safety, policy, product, research, and engineering teams
Set methodological approach translating violence-prevention and behavioural-risk expertise into structured evaluation frameworks
Lead and participate directly in red teaming and adversarial evaluation with test scenarios, model responses, scoring criteria, and safety policies
Identify patterns, edge cases, and safety failures developing practical recommendations for model behaviour and user protections
Maintain rigour and clear documentation across technical deliverables for technical, government, and foundation audiences
Ensure work delivered within clear ethical framework compliant with contractual, legal, data protection, and ethics obligations
Identify, manage, and escalate operational, reputational, delivery, and partnership risks
Serve as primary applied AI safety counterpart for frontier AI company partners, governments, regulators, and wider ecosystem
Build trusted relationships with model, policy, trust and safety, product, research, and engineering teams
Build and sustain relationships across AI safety ecosystem including governments, foundations, regulators, academics, researchers, and civil society
Represent Moonshot externally in meetings, briefings, workshops, and sector engagement with regulators and policymakers
Provide direct leadership, coaching, and management to Moonshot's AI safety team
Foster collaborative, accountable, mission-driven team culture with attention to wellbeing given sensitive nature of work
Support workforce planning, performance management, and professional development across the team
Ensure effective coordination with internal operations, finance, research, and technical teams
Develop AI safety portfolio identifying strategic opportunities, partnerships, and funding
Lead proposal development, scoping, and renewals with technical credibility using precise defensible language
Develop repeatable methodologies, service offerings, and partnerships enabling growth while maintaining rigour and quality
Support external communications, publications, briefings, and thought leadership establishing Moonshot as credible applied AI safety voice
Oversee project planning, staffing, budgeting, forecasting, and delivery timelines across portfolio
Remote position requiring candidates to be based in Ontario, Canada due to employment and regulatory requirements
Not an engineering or data-science role but hands-on position requiring direct participation in red teaming and adversarial evaluation
Work addresses harm categories including pathways to violence, extremism, CSEA, abuse and grooming, mental health and crisis, and risks to children and teenagers
Candidates must pass standard background check and any relevant security clearance procedures per client needs
Salary range is 115000 to 140000 CAD depending on skills and experience
135,482 ā 227,700 USD
/ year
125,000 ā 200,000 CAD
/ year
335,000 ā 335,000 CAD
/ year
181,000 ā 241,000 CAD
/ year
119,200 ā 165,500 USD
/ year