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Builder, Instructure Foundry

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Published
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2Application actions
6 Oct 2026Apply before
Opportunity details

About this role.

AI Summary

This is a senior hands-on software engineering role in Instructure Foundry, a small internal venture group building AI-enabled products. The Builder partners with a non-technical Founder and owns architecture, code quality, security, reliability, scalability, and release judgment. The role emphasizes directing and validating high volumes of AI-generated code while moving quickly from pilot delivery toward general availability. Success is measured by durable customer-facing products and revenue outcomes rather than activity alone. It is a US-remote, full-time position with a disclosed annual salary range of $150,000 to $230,000 USD.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role requires senior technical judgment across architecture, security, scalability, and production reliability while operating at startup-like pilot speed. The Builder is expected to make independent shipping decisions and translate continuously between product intent and technical constraints.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$190,000
US market range$170k–$240k
AI insightThe disclosed annual base compensation range is $150,000 to $230,000 USD, with a midpoint of $190,000. This is broadly competitive for a senior US-remote software engineer with high ownership for AI-assisted product delivery, architecture, security, and scalability; an estimated US market range is $170,000 to $240,000 annually.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How do you validate AI-generated code before allowing it into a production product?

I treat AI output as untrusted contributor code. I review design assumptions, run automated tests and static analysis, assess security-sensitive paths, validate observability and failure behavior, and require clear ownership for any tradeoffs before release.

Describe how you would balance pilot speed with long-term scalability.

I would identify the smallest architecture that safely supports the pilot, explicitly document shortcuts, and prioritize reversible decisions. I would harden the areas most likely to create customer harm or operational risk—identity, data handling, reliability, and core workflows—while deferring noncritical optimization.

How would you work effectively with a non-technical Pod Founder?

I would translate product goals into options with clear tradeoffs in customer impact, delivery time, risk, and cost. I would maintain a shared written decision record so priorities, constraints, and the current product state remain visible to both of us.

Tell us about a time you owned a production reliability or security issue.

I would explain the incident context, the immediate containment actions, stakeholder communication, root-cause analysis, and the durable controls added afterward. Strong ownership means improving monitoring, tests, deployment safeguards, and technical decisions rather than only resolving the immediate symptom.

What criteria do you use to decide whether a feature is safe to ship?

I evaluate customer impact, data and security exposure, failure modes, rollback capability, test coverage, monitoring, and operational support needs. If uncertainty is material, I narrow the release scope or use a controlled rollout rather than treating speed as a reason to accept unmanaged risk.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

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:

Foundry is a standalone division inside Instructure, built to generate new revenue with AI-built products. As the Builder in a two-person pod, you’re the other half of a small company: the Founder owns the bet, and you own whether what gets built actually holds up. In an era where AI generates most of the code, you’re the person who makes sure it’s right—fast enough for a pilot, sound enough to scale. You’ll build hands-on every day with a token budget, partner closely with a non-technical Pod Founder, and rely on a shared platform and operating team so you stay focused on the product. The pace is fast and transparent, and we measure ourselves on revenue, not activity.

What you will do

  • Own the architectural integrity of the product. If it ships, you stand behind it.

  • Take responsibility for code quality, security, and scalability across agentically generated code, leveraging the shared harness so you’re not rebuilding plumbing.

  • Build hands-on in Git with AI development tooling, moving at pilot pace early and hardening the product as it heads toward general availability.

  • Direct and verify far more code than you hand-write, and catch what matters before it ships.

  • Decide what’s safe to ship now and what genuinely needs a closer look, and own that judgment.

  • Write context back to the shared system so the Founder and the operating team work off the same surface, not guesswork.

  • Partner closely with a non-technical Founder, translating between product intent and what the system can actually do.

What you’ll need to know/have

  • Proven experience shipping production software and owning its reliability and security in the real world.

  • Senior engineering judgment: you direct and verify AI output at high volume rather than authoring every line.

  • Fluency, or fast-developing fluency, with AI-assisted development.

  • Comfort owning security and scale yourself, without a platform team as a backstop.

  • A product mindset—you care that the thing works for the customer, not just that it compiles.

  • The instinct to move at pilot pace without shipping something that falls over the day it scales.

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:

  • Competitive compensation, plus all full-time employees participate in our ownership program – because everyone should have a stake in our success.

  • Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.

  • 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.

  • Comprehensive wellness programs and mental health support

  • Learning and development resources, including professional development tools and tuition reimbursement, to support your growth

  • The technology and tools you need to do your best work

  • Motivosity employee recognition program

  • 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.

Apply now >

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