Enterprise Context Architect

Namely; Saskatchewan; On-site; CAD 129,000 - 175,000; Full time

Job summary

Dropbox is seeking a senior leader to own the context layer for its AI and enterprise knowledge. You will set strategy, architecture, standards, and operating models that keep knowledge reliable, current, and permission-aware for both humans and AI, while domain experts stay accountable for content accuracy.

You will collaborate with IT, Engineering, Legal, Privacy, and Security, ensuring decisions influence AI performance across the company and evolve with technology shifts.

Qualifications

• 7+ years designing how information is structured, owned, and maintained at enterprise scale.
• Experience preparing content for AI consumption with retrieval-augmented generation, grounding, semantic chunking, embeddings, vector search, and citations.
• Hands-on experience with knowledge graphs, ontologies, or semantic models that structure content for machine consumption.

Responsibilities

• Define the source-of-truth strategy for enterprise knowledge: which systems are authoritative, what is indexed centrally versus fetched live, what is eligible for AI use, and what is archived or excluded.
• Define the enterprise standards that make content AI-ready across structure, metadata, provenance, and access, including semantically modeled areas and authoring patterns.
• Design the control model for AI actions, including eligibility rules, preconditions, approval boundaries, escalation paths, and rollback requirements.

Skills

Knowledge management design

AI retrieval

Knowledge graphs

Stakeholder influence

Tools

ServiceNow

Atlassian

Microsoft 365

Copilot Search

Slack

Notion

Job description

Dropbox is a Virtual First company. For this role, we are currently only authorized to hire candidates from the following provinces: Alberta, British Columbia, Ontario, and Saskatchewan.

Role Description

Dropbox is building the knowledge layer that connects content, context, and action. As AI moves from assistants to systems that act, the structure and stewardship of enterprise knowledge becomes the difference between AI that helps and AI that fails.

This role owns the context layer our AI depends on: what it can know, what it can trust, and what it is allowed to act on. You will lead the central function, setting the strategy, architecture, standards, and operating model that make enterprise knowledge reliable, current, and permissions-aware for both human and AI use, while domain experts stay accountable for the accuracy of their content.

AI capability changes quickly, and this role changes with it. What a model can interpret, how content needs to be structured for retrieval, and what a system can safely act on all shift as the technology moves. You will track those shifts, translate them into practical standards, and revise your own past decisions when the ground moves under them.

This is the first role of its kind at Dropbox. You will partner with IT, Engineering, Legal, Privacy, and Security, and your decisions will show up directly in how AI performs across the company.

Responsibilities

• Define the source-of-truth strategy for enterprise knowledge: which systems are authoritative, what is indexed centrally versus fetched live, what is eligible for AI use, and what is archived or excluded, informed by an assessment of the authoritative sources behind our highest-value workflows.
• Define the enterprise standards that make content AI-ready across structure, metadata, provenance, and access, including where semantic models or knowledge graphs are warranted and where they are not, and translate them into authoring patterns adopted across domains.
• Design the control model for AI actions, including eligibility rules, preconditions, approval boundaries, escalation paths, and rollback requirements, so systems that act on enterprise knowledge stay traceable and safe as AI capabilities evolve.
• Lead platform and connector strategy across the content stack. Drive decisions on what is refactored, migrated, indexed in place, or consolidated, and partner with IT and Engineering on connector architecture and how AI systems are granted access to tools and sources.
• Build the federated operating model for enterprise content: stewardship across functions, domains accountable for their own accuracy within shared standards, and lifecycle policies covering review cadence, expiration, material-change triggers, and retirement, tied to business criticality.
• Define content quality in an AI context. Stand up retrieval and grounding evaluations for priority use cases, extend measurement to workflow traces and policy conformance as systems begin to act, and route findings back into the content lifecycle.
• Co‑own the criteria for AI content eligibility, sensitivity classification, and permissions modeling with Legal, Privacy, and Security, including access boundaries for the tools AI systems can reach.

Requirements

• 7+ years designing how information is structured, owned, and maintained at enterprise scale, including at least 2 years applying that work to AI retrieval and grounding.
• Direct experience preparing content for AI consumption, with working fluency in retrieval‑augmented generation, grounding, semantic chunking, embeddings, vector search, and citations.
• Hands‑on experience with knowledge graphs, ontologies, or semantic models that structure content for machine consumption.
• Track record building federated operating models across functions outside direct reporting lines, with evidence of metadata standards or authoring frameworks adopted at scale.
• Demonstrated ability to influence senior stakeholders across Engineering, IT, Legal, Security, and business functions.
• Sound judgment on balancing central standards with domain expertise.

Preferred Qualifications

• Hands‑on experience with enterprise platforms such as ServiceNow, Atlassian, Microsoft 365 or Copilot Search, Slack, or Notion.
• Familiarity with structured authoring (such as DITA), controlled vocabularies, or knowledge operations methodologies such as KCS.
• Experience with AI evaluation tooling and frameworks for measuring retrieval quality, groundedness, and answer relevance.
• Background working in regulated, policy-heavy, or high‑risk content domains.
• Working knowledge of NIST AI RMF, OWASP GenAI guidance, or comparable risk frameworks.

Durable Skills

AI fluency means using these tools to amplify human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve:

• Awareness: Understand yourself and others.
• Judgment: Evaluate information and make decisions in complex situations.
• Adaptability: Learn, adjust, and stay effective through change.
• Connection: Communicate, collaborate, and build trust.

To learn more about why these skills matter and what the data shows about thriving through change, read this blog post from our Chief People Officer, Melanie Rosenwasser.

Compensation

Canada Pay Range

$129,200—$174,800 CAD

The range listed above is the expected annual salary/OTE (On-Target Earnings) for this role, subject to change.

Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).

Read more about our benefits here.

Company Description

Dropbox isn’t just a workplace—it’s a living lab for designing a more enlightened way of working. We’re a global community of bold visionaries and resourceful doers shaping the future of Dropbox and, in turn, the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, creating space for meaningful work and lasting relationships. With a startup mindset and enterprise-level opportunities, we expect Dropbox employees to think critically, stay curious, and use modern tools, including AI, to improve how work gets done. Here, you can be who you are and grow into who you’re meant to be. You own your impact, helping make work more intuitive, joyful, and human for yourself and hundreds of millions of people worldwide. If you’re ready to push boundaries and challenge yourself, Dropbox is ready for you.

Team Description

The Dropbox People Team is designing a workplace where every Dropbox employee can thrive. We take a human-centered, HR as a Product approach—treating programs like well‑designed products shaped by employee and candidate needs, informed by data, and backed by actionable insights. Our team continuously innovates to attract, develop, and retain world‑class talent while building a culture of experimentation, craft, and community. From fostering connection in our Virtual First model to scaling HR systems and offering personalized learning tools and experiences, our work evolves to support the growth and needs of our people. We think big, act fast, and adapt with agility—grounded in outcomes, empathy, and clear communication.

Virtual First

Dropbox’s Virtual First way of working is designed to help people do their best work with flexibility, autonomy, and connection. Day to day, teams work remotely with nonlinear schedules and core collaboration hours that support deep focus and individual working styles. We prioritize asynchronous communication to improve clarity, respect deep work time, and reduce unnecessary meetings. While remote work is the primary experience for our employees, we also prioritize intentional, in‑person connection. We bring teams together through regular team gatherings, on‑demand workspaces, and Dropbox Neighborhood events in order to strengthen team cohesion, foster creativity, and enhance momentum. Virtual First is built to provide the same access to opportunity, growth, and impact for everyone, regardless of location.

This role requires travel to offsites and various other team gatherings (approximately 5‑10% of the year or 2‑3 days per quarter). We provide advance notice when possible and encourage candidates to discuss any accommodation needs during the interview process.

AI Fluency

AI fluency is a core part of how we work and grow. It’s not about being an expert—it’s about using these tools thoughtfully and effectively to improve your work and support others.

We look for four key behaviors in candidates:

• Ownership: You use AI responsibly by protecting data, applying sound judgment, and taking accountability for the quality and accuracy of your work.
• Experimentation: You explore new AI capabilities and apply them to improve workflows within approved tools and practices.
• Leverage: You use AI to enhance thinking, improve efficiency, and increase your impact and your team’s.
• Learning: You stay current on emerging AI tools and trends, continuously build your skills, and share what you learn with others.

Together, these behaviors help build a workforce where technology amplifies human judgment, creativity, and impact.

Dropbox supports responsible use of AI for preparation, but misrepresentation of skills or experience is not permitted. To learn more, see our approach to AI in hiring.

Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work.