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Application Security Engineer, Generative AI

AI Summary
Liftoff is hiring an individual-contributor Application Security Engineer to lead application security for Generative AI, Creative GenAI, and emerging products. The role combines secure SDLC standards, design and code reviews, threat modeling, vulnerability remediation, vendor assessments, and development of security automation. The engineer will work across application, cloud, and infrastructure security while partnering closely with engineering and Detection & Response teams. This is a senior, high-impact remote role requiring strong software engineering ability, sound risk judgment, and participation in on-call incident response.
Remote from
USA, Canada
Salary
USD 184k–250k / yr
Department
Cybersecurity
Employment
Full Time
Experience
Director
Published
Apply before
3 Dec 2026
Listing views
29
Application actions
3
Application toolkit

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Opportunity details

About this role.

Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand.

Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.

About Liftoff Security Team

The Liftoff Security team protects Liftoff’s customers, users, and employees. We architect Liftoff’s security posture, build the tools and systems that defend it, and partner with engineering teams as they ship new products and features. Our work spans the entire stack — infrastructure, web, mobile, and IT — and we approach security from a software engineering standpoint, scaling our impact through automation and well-designed tools. This individual contributor role reports to the Director of Security and owns application security for GenAI, Creative GenAI, and emerging businesses. Application security is the primary focus; you will also contribute across cloud and infrastructure security, support Accelerate and MX as priorities change, and share the team’s on-call and incident-response work.

Responsibilities

  • Establish secure software development standards and integrate security into engineering design and development.
  • Create self-service paths for engineering teams to build and deploy securely through documented review workflows, reusable tools, and secure design patterns.
  • Perform design and code reviews, threat modeling, and security assessments for GenAI, Creative GenAI, and emerging businesses, including sandbox design and isolation.
  • Partner with stakeholders across the organization to build a culture of security-minded builders.
  • Triage incoming security issues, prioritize vulnerabilities by risk, and work with engineering teams through timely remediation and verification.
  • Assess vendors and AI tools to ensure their security controls and product features support secure employee use.
  • Share the security team’s on-call and incident-response rotation, including occasional off-hours response.
  • Conduct blameless post-incident reviews, document findings, and follow through on remediation.
  • Build maintainable security tools and automation, including an AI-assisted code-security triage pilot that produces actionable findings at a false-positive rate engineering will accept.
  • Partner with Detection & Response to turn application-security findings and threat models into detection improvements and response guidance.
  • Contribute across application, cloud, and infrastructure security as priorities change, including Accelerate and MX.

Minimum qualifications

  • 5+ years of relevant experience in security engineering or software engineering.
  • Excellent judgment in prioritizing security efforts using a risk-based approach.
  • Experience partnering with cross-functional teams to deliver security improvements and help engineers choose practical fixes.
  • Write production-quality code for security tools and automation, review pull requests, and navigate large, unfamiliar codebases.
  • Strong understanding of secure software design, application and API security, authentication and authorization, threat modeling, and code review.
  • Experience assessing cloud and infrastructure security and contributing beyond a primary application-security specialty.
  • Ability to quickly understand complex engineering systems and architecture.
  • Practical software engineering habits: testing, observability, version control, peer code review, continuous integration, and blameless postmortems.
  • Strong technical writing: design documents, proposals, runbooks, and post-incident reviews that support engineering decisions. Explain security risks and tradeoffs clearly in writing and conversation.
  • Willingness to share the security team’s on-call and incident-response responsibilities, including occasional off-hours response.

Desirable qualifications

  • Experience with Go, Python, Clojure, or JavaScript; ability to work across languages matters more than a specific language.
  • Experience securing GenAI applications, designing sandboxes, or evaluating AI-assisted security tools and their output.
  • Experience scaling cloud security or working with high-velocity software engineering teams, mobile advertising, or other high-volume SaaS environments.

Why This Role is Exciting

  • High Visibility & Impact: Be a core member of a security team with significant influence.
  • Diverse & Challenging Projects: Engage in various domains including product security, vendor security, corporate security, and infrastructure security.
  • Security-Conscious Engineering Culture: Collaborate with engineering teams that value security and are eager to partner on initiatives.
  • Large-Scale Systems & Technical Challenges: Tackle complex security challenges across Liftoff’s infrastructure and applications.
  • Hands-On Technical work: Stay deeply involved in technical security efforts, from writing and reviewing code to architecting secure solutions.

Working at Liftoff is fast-paced, fun, and challenging, and we thrive on innovation. Come join our team and help shape the future of the mobile app ecosystem. If this role sounds interesting to you, we would love to hear from you!


Locations:

This role is eligible for full-time remote work in one of our entities/states and Canada: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA.

We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City.

Travel Expectations:

We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building.

Compensation:

The following are our base salary ranges for this role:

  • SF Bay Area, Los Angeles/Orange County, NYC, Seattle: $200,000 – $250,000 plus bonus
  • All other cities and towns in our approved states: $184,000 – $220,000 plus bonus

#LI-EL1


We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process, we provide Covey with job requirements and candidate-submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

Please see the independent bias audit report covering our use of Covey here.

Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We’re shaping the future of the mobile app ecosystem—join us and help accelerate what’s next.

Liftoff’s compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence.

Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law.

Agency and Third Party Recruiter Notice:

Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

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

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe position requires broad hands-on security engineering expertise across GenAI applications, APIs, cloud infrastructure, sandboxing, incident response, and production codebases. It also demands independent prioritization of security risk and the ability to influence multiple engineering teams through practical, well-documented solutions.

Salary analysis

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

Estimated job median (per year)Market rate
$217,000
US market range (per year)$180k–$260k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses base-salary ranges of $184,000–$220,000 and $200,000–$250,000 USD, depending on approved location, plus bonus. The annual cadence is inferred from the stated US base-pay amounts and senior full-time engineering context; the posting does not explicitly say “per year.” The combined midpoint is $217,000 per year. A reasonable estimated US market range for a senior application-security engineer with GenAI responsibilities is $180,000–$260,000 per year.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you threat-model a new Generative AI feature that processes customer-provided content?

I would first map data flows, trust boundaries, model and tool integrations, identities, and external dependencies. I would assess threats such as prompt injection, data leakage, insecure output handling, excessive agent permissions, tenant-isolation failures, and abuse of connected tools. I would then prioritize mitigations by impact and likelihood, define testable security requirements, and document residual risks and monitoring needs with the product team.

Describe how you would make security reviews scalable for a high-velocity engineering organization.

I would combine risk-based review criteria with self-service patterns, reusable reference architectures, automated checks, and concise review workflows. Lower-risk changes should receive fast automated guidance, while high-risk changes involving sensitive data, authorization, AI tools, or new trust boundaries trigger deeper review. I would measure adoption, remediation time, recurring findings, and developer feedback to improve the process.

What security risks are especially important when designing an AI sandbox?

Key risks include unintended network access, filesystem or secret exposure, cross-tenant access, privilege escalation, resource exhaustion, unsafe execution of generated code, and weak auditability. I would apply least privilege, strong workload isolation, scoped identities, egress controls, short-lived credentials, resource quotas, logging, and clear approval paths for exceptions. The design should also be tested against realistic escape and abuse scenarios.

How do you prioritize a newly reported application vulnerability?

I evaluate exploitability, affected assets, exposure, privilege requirements, data sensitivity, potential business impact, available compensating controls, and whether exploitation is active or likely. I communicate a clear severity and remediation expectation, collaborate with owners on a practical fix, and verify the remediation after deployment. For systemic issues, I also identify preventive controls such as framework changes, detection rules, or secure coding guidance.

Give an example of how you would reduce false positives in an AI-assisted code-security triage tool.

I would begin with a labeled sample of findings and measure precision by vulnerability class, repository context, and severity. I would tune rules or prompts to require evidence such as source-to-sink paths, relevant authorization context, and exploitable preconditions, then route uncertain results for human feedback. The feedback loop would continuously refine the tool, with a target focused on actionable findings that engineers trust enough to use.

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