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Director, Engineering – Platform

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Remote from
USA
Salary
USD 240k–300k / yr
Employment
Full Time
Experience
Director
Published
Apply before
31 Oct 2026
Listing views
21
Application actions
0
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AI Summary

The role, at a glance.

Huntress is hiring a Director of Engineering to lead multiple platform engineering teams that underpin its cybersecurity product portfolio. The leader will own platform technical strategy, scalable delivery practices, engineering performance, manager development, and talent acquisition. The role requires extensive SaaS leadership experience, including at least five years at director level or above, along with expertise in high-volume systems, SRE, and developer experience. This remote-US position also emphasizes cross-functional partnership with architecture, product management, and threat operations, plus practical use of AI development tooling.

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 insightThis is a senior, high-accountability leadership role overseeing several engineering teams and a platform supporting rapidly growing security products. Success requires balancing long-term architecture, operational scalability, organizational design, hiring, and iterative customer delivery.

Salary analysis

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

Estimated job medianHighly competitive
$270,000
US market range$220k–$320k
AI insightThe disclosed annual base salary is $240,000–$300,000 USD, with a midpoint of $270,000. This is competitive for a US-based Director of Platform Engineering in cybersecurity; a reasonable US market base-salary range is approximately $220,000–$320,000, excluding bonus and equity.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How have you balanced near-term product delivery with long-term platform investments?

I establish a shared roadmap that explicitly allocates capacity to customer-facing work, reliability, technical debt, and strategic platform capabilities. I use outcome-based measures such as lead time, availability, adoption, and customer impact to review trade-offs with product and engineering leaders regularly.

Describe your approach to leading managers across multiple engineering teams.

I set clear operating expectations, establish consistent one-on-ones and performance conversations, and coach managers on prioritization, talent development, and decision-making. I also create forums for managers to align on standards, learn from incidents, and share effective team practices.

What metrics would you use to evaluate platform engineering effectiveness?

I would use a balanced set of delivery, reliability, developer-experience, and business metrics. Examples include deployment frequency, lead time for changes, change-failure rate, service availability, incident recovery time, internal platform adoption, and engineering engagement and retention.

How would you evaluate and scale the use of AI development tooling across engineering teams?

I would start with targeted use cases, establish secure usage guidelines, and measure effects on development cycle time, code quality, review burden, and developer satisfaction. Effective practices would be documented, shared through enablement sessions, and refined with appropriate human review and security controls.

Tell us about a time you aligned architecture and product stakeholders around a difficult technical decision.

I frame the decision around customer outcomes, risk, cost, and delivery implications, then present viable options with clear trade-offs. By creating a shared decision record and agreeing on success measures, I help stakeholders commit to a path while maintaining transparency about follow-up milestones.

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

About this role.

Reports to: Vice President, Engineering

Location: Remote US

Compensation: $240,000 to $300,000 base with bonus and equity

What We Do:

Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.

Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers’ protection.

Huntress now secures more than 5M endpoints and 14M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.

What You’ll Do:

Huntress seeks an experienced leader to elevate our platform engineering teams and deliver the underlying foundation for purpose-built products that protect the 99%. In this role, you’ll be responsible for teams that develop our product platform, which powers our 5 (soon to be 6 and beyond) industry-leading security products. We’re seeking a passionate, inclusive engineering leader who can bring state-of-the-art engineering practices and deep experience in developing teams and people to accelerate our next growth phase. You will lead multiple teams of high-performing engineers, equipped with the latest AI tooling.

At Huntress, we work with low walls between disciplines because we believe good ideas are everywhere and the best products come from teams working to deeply understand our customers, experiment, and validate our products.

Responsibilities:

  • Deliver performant, scalable products iteratively, helping your teams balance incremental customer value delivery with long-term product evolution
  • Drive the technical roadmap and best practices for our product platform to enable scalability that will accommodate rapid growth and increased user demand
  • Innovate new uses for AI development tooling and tune current use to be more efficient over time
  • Attract, recruit, and retain top engineering talent
  • Hire and coach engineering managers to continue to build and enable great teams
  • Set clear expectations with your leaders, provide regular feedback, and conduct regular performance conversations to foster a high-performing engineering team
  • Clearly measure engineering performance to make necessary adjustments to team structure and/or processes to increase throughput and efficiency
  • Identify opportunities and implement improvements to both the product and engineering practices and processes to optimize efficiency, quality, and time-to-market
  • Partner with other engineering leaders, product leaders, and architects to ensure our teams and technology are in sync and meet customer needs
  • Collaborate with Huntress’s Architecture, Product Management, and Threat Operations teams to integrate their expertise and needs into our products

What You Bring To The Team:

  • 10+ years of experience in engineering leadership building SaaS products in a modern SaaS environment
  • 5+ years of experience at the director level or higher
  • Hands-on experience with Claude Code or similar AI development tools
  • Experience and knowledge of best practices for scalable delivery, core platform systems, site reliability engineering, and developer experience
  • Experience developing, evolving, and maintaining high-volume, scalable solutions
  • Deep understanding of organizing engineering teams to deliver customer value iteratively
  • Skilled at hiring, building teams, leading, and coaching managers, and performance management
  • Demonstrated success working with architecture and product management leaders to develop and execute a shared product and technical vision
  • Experience in a fully remote environment

What We Offer:

  • 100% remote work environment – since our founding in 2015
  • Generous paid time off policy, including vacation, sick time, and paid holidays
  • 12 weeks of paid parental leave
  • Highly competitive and comprehensive medical, dental, and vision benefits plans
  • 401(k) with a 5% contribution regardless of employee contribution
  • Life and Disability insurance plans
  • Stock options for all full-time employees
  • One-time $500 reimbursement for building/upgrading home office
  • Annual allowance for education and professional development assistance
  • $75 USD/month digital reimbursement
  • Access to the BetterUp platform for coaching, personal, and professional growth

Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.

We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.

We do discriminate against hackers who try to exploit businesses of all sizes.

Accommodations:

If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com. Please note that non-accommodation requests to this inbox will not receive a response.

Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights.

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