AlphaSense

SeniorApplicationSecurityEngineer

$155–225k ~AI est. United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Application Security Engineer at AlphaSense. Skills: Application Security, AI Security, Agentic Development, Cloud Security. Forensic investigation. Architectural containment”

Industry & Context.

Problems you'll solve

Root cause analysis; False-positive tuning; Troubleshooting

What They're Looking For.

Must Have

6+ years engineering experience, 4+ years AI AppSec/Product Security, SaaS or cloud-native company, Not consulting/audit background, Hands-on recent development background, Write code, not just review, Read PRs fluently, Comfortable in Terraform, Comfortable in Helm, Comfortable in Kubernetes manifests, Production SAST/SCA pipeline operation, Rule authoring, False-positive tuning, CI/CD integration, Demonstrated ownership of threat modeling, Demonstrated ownership of developer security training, Layered security thinking, Defense-in-depth across layers, Author policy, Author guidance, Author runbooks, Author PR comments

Nice to Have

Open-source contributions, Shipping deterministic compliance gate, API security experience, DAST experience, Modern container security, Kubernetes security, AWS security depth, AI/ML production environments exposure, Customer-facing posture dashboard, DDQ response process, Public writing on developer security, Public writing on AI/agent security, Public writing on AppSec automation, Pre-IPO experience, Familiarity with SOC 2 Type II, Familiarity with ISO 27001:2022, Familiarity with ISO 42001, Familiarity with SOX, Familiarity with GDPR

What You'll Do.

Forensic investigation

Architectural containment

Post-incident hardening

Build agentic tooling

Integrate agentic tooling

Operate agentic tooling

Integrate Claude Code

Work with autonomous coding agents

Build autonomous coding agents

Harden autonomous coding agents

Operate SAST pipeline

Tune SAST false-positives

Integrate SAST into CI/CD

Tune SCA false-positives

Integrate SCA into CI/CD

Develop threat modeling program

Develop developer security training

Design for compounding control

Design for redundant control

Author policy documents

Author guidance documents

How You'll Work.

Team & Collaboration

Cross-functional partnerships; Senior IC team

Communication Scope

Written communication; Technical writing

Full Job Description

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S leading the forensic investigation, architectural containment, and post-incident hardening requirements. What You Bring Required 6+ years engineering experience, with 4+ in a dedicated AI Application Security / Product Security role at a SaaS or cloud-native company. Not a consulting / audit background. Development background , hands-on and recent. You write code, not just review it. You can read PRs fluently in at least two of Python, TypeScript / JavaScript, Java / Kotlin, or Go, and you are comfortable in Terraform, Helm, and Kubernetes manifests. Hands-on experience with agentic AI and MCP development. You have personally built with, integrated, or operated agentic tooling. Examples that qualify: built an MCP server; integrated Claude Code, Cursor, or Copilot into a real engineering workflow under governance; worked with autonomous coding agents or harnesses; built or hardened an agent gateway; shipped guardrails for prompt injection, jailbreak resistance, or output sanitization in production. Production operation of a SAST / SCA pipeline at scale , Snyk, Semgrep, G

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