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Staff Application Security Engineer

Job in Pleasanton, Alameda County, California, 94566, USA
Listing for: Bazeta
Full Time position
Listed on 2026-10-21
Job specializations:
  • IT/Tech
    Cybersecurity, AI Engineer (Applied/Software), Security Management & Operations
Salary/Wage Range or Industry Benchmark: 225000 - 282000 USD Yearly USD 225000.00 282000.00 YEAR
Job Description & How to Apply Below
# Staff Application Security Engineer United States6 hours agoID  Salary## Details

Employment type:

Full-time Remote:
Yes Salary from:
225,400

Salary to:
281,800

Company:
Apollo## Description Apollo .io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo .io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform.

By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo .io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.

Role Overview  The Staff Application Security Engineer leads application security strategy for Apollo ’s Security department and delivers it through hands-on work and technical leadership. This role takes on the hardest App Sec problems across product, platform, and AI-powered features, including problems with no established playbook.  The role shapes the roadmaps of Engineering, Product, and Platform teams so secure patterns become the default, and sets the App Sec standard that helps many teams build securely without relying on any single person.

Key Responsibilities  App Sec strategy, standards, and influence    
• Lead Apollo ’s multi-year App Sec strategy and turn it into multi-quarter, cross-team initiatives that move Security department KRs. Report progress, risks, and tradeoffs to Security leadership on a regular cadence.

• Shape Engineering, Product, Platform, and Data roadmaps so security work is planned in early, and represent App Sec in cross-department decisions.

• Set the secure design, code review, and risk model standards used across the department and adjacent engineering teams, including expectations for AI-generated and agent-generated code.

• Mentor senior engineers and security champions, grow the champions program, and help raise the hiring bar, so the App Sec program does not depend on one person’s expertise.
Secure architecture and vulnerability depth    
• Lead security architecture reviews and threat modeling for ambiguous, high-scale, multi-team systems, including AI and agent features, and define the approach where no precedent exists.

• Design and drive adoption of secure-by-default building blocks, such as shared authorization, safe OAuth and token handling, and SSRF-safe HTTP clients, so whole classes of issues stop appearing.

• Shape vulnerability management across internal reviews, bug bounty, pentests, and SCA and runtime findings, with a focus on root causes, bug classes, and clear risk-based severity decisions.

• Stay hands-on for the hardest cases: read code across teams, develop exploits, test bypasses, and lead variant analysis and staged remediation across teams.
Tooling, automation, and AI (AI-native by default)    
• Set the standard for AI-augmented App Sec in the department. Use AI and agents for code review, threat modeling, triage, and remediation, and build automation that teams outside Security adopt, with measured gains in speed, coverage, and signal quality.

• Define how Apollo secures its AI systems and agent features, including input and output handling, AI-exposed APIs, prompt and response guardrails, tool…
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