Bilingual Technical Account Manager (AI)

At Qohash we look for bold, mission-driven individuals who aren't afraid to take brave action in pursuit of meaningful outcomes. You thrive in fast-paced, evolving environments, demonstrate a strong sense of accountability, and embrace the unknown with curiosity and determination. We value people who are not only technically proficient but also deeply collaborative, customer-centric, and aligned with our core values of accountability, pursuit of excellence, and resilience. If you're energized by creating a safer digital future for all, read on...

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Last Name

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Resume/CV

Are you professionally fluent in both English and French and have you dealt with both English and French Enterprise Level customers (as evidenced by your resume)?

How many years of professional experience do you have as a Technical Account Manager, Solutions Engineer, or Customer Success Engineer supporting complex enterprise SaaS environments?

How many years of experience do you have (as evidenced by your resume) of hands-on experience with cloud platforms (M365, Azure, AWS), IT infrastructure, or security tools in integrated or multi-system environments?

Does your resume clearly show how you have used AI or LLMs to design, automate, or materially improve a technical workflow or customer outcome?

How did you hear about this opportunity?

If referred by a Qohash employee, please enter their first and last name:

Our Culture is at Our Core

Our 5 core values are more than just words, they are a way of life for us

Pursuit of Excellence — Data security companies that aren’t constantly improving every aspect of what they mean by ‘excellent’ shouldn’t exist.
Resilience — Security is a marathon without a finish line. Our customers and employees must have the support they need.
Mission Focus — We are here to protect the world’s most sensitive data and create a safer digital future for all.
Accountability — Trust is earned through actions, not blame or wishful thinking. Fulfill promises and take responsibility for mistakes.
Embracing Conflict — To reach consensus and problem-solve quickly, it’s important to communicate honestly and courageously.

Who you are

You are an AI-native technical expert who sees enterprise architecture as an evolving ecosystem of agents, APIs, and autonomous systems. You understand Model Context Protocol (MCP), agentic workflows, and you will quickly grasp how Qostodian fits into a fleet of interconnected tools. Traditional TAM work—deploying sensors, configuring M365—is baseline; you thrive in architectures where AI agents orchestrate security operations across multi-cloud, multi-tool environments.

You’re relentlessly curious about emerging AI capabilities. You test new LLMs, experiment with agent frameworks, and stay ahead of how AI is reshaping enterprise infrastructure. You don’t just use AI tools—you architect with them, understanding how to chain agents, design prompts for technical workflows, and automate complex customer scenarios that used to require days of manual work.

You balance deep technical sophistication with relationship-building. You can explain agentic security architectures to a CISO and debug a failed MCP integration with an engineer. You’re proactive, organized, and obsessed with delivering measurable customer outcomes in environments where complexity is accelerating faster than traditional support models can handle.

What you will do

Architect AI-integrated deployments: Design and support Qostodian implementations that connect to customer agent fleets, MCP-enabled tools, and autonomous security workflows—not just standalone installations
AI-accelerated customer success: Use LLMs, automation, and agentic tools to diagnose issues, generate configuration scripts, create custom integrations, and reduce resolution time from days to hours
Navigate complex enterprise architectures: Understand multi-cloud, hybrid, and agentic infrastructure where Qostodian is one node in a larger autonomous security ecosystem
Proactive technical guidance: Anticipate integration challenges, API changes, and architectural bottlenecks before they impact customers; provide best practices for MCP-based workflows
Bridge technical depth and business outcomes: Translate agentic architecture benefits into risk reduction metrics, compliance wins, and operational efficiency gains for executive audiences
Continuous learning and experimentation: Actively test emerging AI tools, agent frameworks, and integration patterns; bring insights back to Product and Engineering teams
Collaborate cross-functionally: Work with Support, Product, and Engineering to resolve complex issues, influence roadmap based on architectural trends, and share AI-driven workflow innovations
Drive renewals and expansion: Monitor customer health in high-complexity environments, identify growth opportunities enabled by AI capabilities, and support strategic account expansion
Conduct business reviews: Present technical architecture evolution, AI-driven value delivery, and roadmap alignment to ensure long-term customer success

What Your Resume Shows

Must Haves

Bilingual in English and French (professional level fluency in both languages)
A strong alignment with our core values (preference for those with genuine start-up, high growth, ser A, B, C or high velocity company experience)
5+ years of experience as a Technical Account Manager, Solutions Engineer, or Customer Success Engineer supporting complex enterprise SaaS environments
3+ years of hands-on experience with cloud platforms (M365, Azure, AWS), IT infrastructure, or security tools in integrated or multi-system environments
3+ years of experience in Customer Success, Implementation, or Project Management roles involving autonomous execution and cross-team coordination
Demonstrated ability to manage multiple complex customer relationships simultaneously
Strong presentation and communication skills across executive and technical audiences
Proficiency with modern productivity tools and demonstrated openness to AI-assisted or automation-driven workflows
Bachelor’s degree in a technical field or equivalent practical experience

Nice to Haves

Experience working in environments with multiple integrated platforms, APIs, or automation frameworks
Experience with data security, data governance, compliance, or privacy solutions
Familiarity with DSPM, DLP, or data classification tools
Experience building TAM programs, premium support offerings, or customer success playbooks
Certifications in relevant frameworks/technologies (ITIL, AWS, Azure, security certifications)
Experience with automation tools (HubSpot, Zapier, Make) and AI productivity or agent-based tools
Preference for candidates based in Quebec

What’s In It For You?

Competitive salary range
Enjoy up to six weeks of paid time off annually—because we value your work-life balance
Comprehensive health benefits, including:

Life insurance
Short- and long-term disability
Paramedical and telemedicine services
Health Spending Account (HSA)

Work with cutting-edge AI tools and automation to do your best work
Join a mission-driven team protecting the world’s most sensitive data

Qohash is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. Only those candidates selected for the interview will be contacted.