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Why this grade This listing scored 45/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Full-Time Director Product & Operations
At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.
We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:
About the role.
We're standing up an AI Center of Excellence, and we're looking for a Director, AI Transformation to lead it. You'll own the system that makes Instructure an AI-native company: shared infrastructure, governance, a cross-functional roadmap, and a clear, honest read on impact. You'll partner with leaders in every function to turn AI from scattered pilots into a capability that gets sharper every quarter. This role reports to the SVP, Data.
Our mission for this team is simple: make Instructure the most operationally capable AI-native company in education — turning every function and team into a system that gets smarter and faster every quarter.
What you will be doing.
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Build the foundation. Stand up and run the shared AI infrastructure — integrations, data boundaries, the approved-model registry, and a standard AI stack with single sign-on and data-loss prevention that every function can build on.
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Set the guardrails. Charter and run the governance council, and put in place the security, privacy, approval, and quality monitoring that let teams move fast without creating risk.
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Own the roadmap. Set AI COE priorities in collaboration with other departments
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Prove the impact. Define the standard metrics for cost, throughput, and quality, and report progress through the AI efficiency scorecard.
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Build capability. Create centralized training libraries and enablement programs along with HR team, and build the place where teams share what works so the whole company benefits.
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Lead the operating model. Run a centralized-expertise, decentralized-execution model where the Center of Excellence owns the system, functions own the outcomes
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Build and grow the team. Hire, coach, and develop the Center of Excellence team, including forward-deployed AI engineers, admins etc
What you need to know and have.
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12 or more years of experience in technology, data, or product roles, including 5 or more years leading teams, with a track record of delivering measurable operational impact at scale — not just pilots.
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2 or more years working directly with AI or machine-learning systems, including hands-on familiarity with modern AI tooling, agentic systems, and large language models.
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Deep understanding of the infrastructure, data, and security that production AI requires, including model registries, integrations, single sign-on, and data-loss prevention.
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Strong governance instincts. You know how to set guardrails for security, privacy, and quality that speed teams up rather than slow them down.
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Proven ability to influence across an organization, from individual contributors to executives, and to build coalitions in a decentralized operating model.
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A bias for clear metrics and honest reporting. You measure what matters and you tell the truth about progress.
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Experience building enablement and training programs that change how people actually work.
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Excellent written and verbal communication skills, with the ability to make complex technical topics clear to non-technical audiences.
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A bachelor's degree in computer science, engineering, data, business, or a related field, or equivalent practical experience. An advanced degree is a plus.
Get in on all the awesome at Instructure!
We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:
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Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
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Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
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Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
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Comprehensive wellness programs and mental health support
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Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
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The technology and tools you need to do your best work
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Motivosity employee recognition program
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A culture rooted in inclusivity, support, and meaningful connection
We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.
Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.
All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.
Any attempt to misrepresent personal or professional information will result in disqualification.
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Where this listing came from
- 17 Aug 2026 Jobicy first sighting
Seen on 1 board over 31 days. The employer edited the description 1× since we first recorded it.