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Jobs/Director of Analytics Role/AlphaSense - Director, AI Governance, Automation & Analytics
AlphaSense

AlphaSense - Director, AI Governance, Automation & Analytics

Remote - USA$209k - $250k+ Equity3w ago
RemoteDirectorNAArtificial IntelligenceSoftwareDirector of AnalyticsSQLPythonGovernanceCross-functional CollaborationDue Diligence

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Requirements

• 8+ years in security, with 3+ years in leadership roles spanning AI/ML security, security automation, or security analytics. • Deep understanding of AI/ML architectures: LLMs, transformer models, fine-tuning pipelines, RAG systems, embeddings, and associated attack surfaces (prompt injection, training data poisoning, model extraction, adversarial inputs). • Hands-on experience building or leading security automation programs—SOAR playbooks, automated detection pipelines, evidence collection systems, or AI-driven alert triage. • Working knowledge of AI governance frameworks: ISO 42001, NIST AI RMF, EU AI Act risk classification, or equivalent enterprise AI governance programs. • Experience with non-human identity governance: service accounts, API keys, OAuth tokens, agent credentials—and the security challenges of machine-to-machine communication at scale. • Demonstrated ability to build and operationalize security tooling integrations across a modern cloud security stack (CSPM, EDR, SIEM/SOAR, DLP, identity). • Experience with cyber risk quantification and translating technical risk into business and financial terms for executive and board audiences. • Strong cross-functional collaboration skills—proven ability to partner with Engineering, Product, Legal, and ML teams in a fast-paced SaaS environment. • Proficiency in building analytics and dashboards from security telemetry—SQL, Python, or BI tools to generate insights from large-scale security data. • Strongly Preferred • Strongly Preferred • Experience leading or contributing to ISO 42001 certification, EU AI Act compliance programs, or formal AI risk management implementations. • Background in securing agentic AI systems: agent registries, MCP security, tool-use governance, agent-to-agent communication controls, and runtime action attribution. • Experience with AI Security Posture Management (AI-SPM) or building AI asset inventories (AIBOM) in enterprise environments. • Familiarity with shadow AI discovery and containment—including CASB/SWG-based real-time detection, OAuth audit, and browser extension monitoring. • Experience deploying AI/ML within security workflows: NLP-driven log analysis, ML-based anomaly detection, LLM-powered security automation. • Professional certifications such as CISSP, CISM, CCSP, or AI-specific credentials. • Contributions to AI security research, standards bodies (OWASP AI, NIST, ISO), or industry publications. • Experience supporting IPO readiness, SOX, or investor due diligence from a security analytics and risk quantification perspective.

Benefits

• Own a greenfield AI governance program at a company where AI is the product—not a side project. AlphaSense’s market intelligence platform is built on NLP, LLMs, and ML, so AI governance here is a first-order business priority. • Inherit a purpose-built next-gen AI security stack that most security teams spend years trying to get budget for—your job is to operationalize it, not justify it. • Work at the frontier of agent security: with 3M+ AI agents now operating across corporations globally and only 14% receiving full security review, you’ll be building governance models that the industry is still figuring out. • Direct board and executive visibility—AI governance is a material topic for AlphaSense’s IPO readiness and enterprise customer trust. Your work directly impacts revenue, risk posture, and market credibility. • Competitive compensation, equity, and benefits in a high-growth company with strong market position. • For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below. • You may also be offered a performance-based bonus, equity, and a generous benefits program.

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