The job, in the employer's words
About AlphaSense:
AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit www.alpha-sense.com. Come join us.
About the Role
We're looking for a Senior Product Security Engineer to lead the design and implementation of secure, scalable, and trustworthy products across AlphaSense's AI-native platform. You'll work closely with architects, engineering, and product teams to embed security by design throughout the software development lifecycle.
This role sits at the intersection of AI/ML security, secure architecture, threat modeling, and customer-facing assurance — defining the standards, automation, and frameworks that enable secure, intelligent products at scale.
What You’ll Do:
AI Security & Enablement (30%)
- Architect and enforce security controls for AI/ML systems — model training, data pipelines, inference environments, and agentic workflows.
- Identify and mitigate AI-specific attack vectors: prompt injection, data poisoning, model inversion, model theft.
- Implement model provenance, integrity, and auditability controls for responsible, secure AI operations.
- Align AI security with governance and compliance teams against frameworks like NIST AI RMF and the EU AI Act.
Secure Architecture & Development Lifecycle (30%)
- Embed security throughout the software and AI development lifecycle, partnering with architects, engineering, and product across AlphaSense's application and cloud ecosystems.
- Ensure security, privacy, and compliance by design.
- Define and maintain secure development standards, guidance, and best practices.
Threat Modeling & Security Review (20%)
- Lead threat modeling, secure design reviews, and risk assessments across the software development lifecycle.
- Build and maintain security automation and governance that integrates into development workflows.
Customer-Facing Security Assurance (10%)
- Produce customer-facing security assurance — security questionnaire responses, security whitepapers, and trust collateral — that unblocks enterprise deals.
- Represent product security in customer, cross-functional, and leadership discussions.
Leadership (10%)
- Mentor teams on secure coding, AI risk management, and secure design.
- Promote a security-first culture through advocacy, documentation, and training.
What We Are Looking For:
- 5–7+ years in product, application, or cloud security engineering.
- Deep understanding of secure SDLC, threat modeling, and secure architecture design.
- Ability to read and review code to inform threat models and design reviews.
- Experience securing AI/ML pipelines, data workflows, and model-serving infrastructure, with working knowledge of AI/LLM security (prompt injection, model integrity, provenance).
- Proven expertise with cloud security concepts and best practices across multi-cloud environments.
- Familiarity with DevSecOps and CI/CD environments.
- Familiarity with encryption fundamentals — symmetric and asymmetric cryptography, TLS/mTLS, key management, and secrets handling.
- Understanding of authentication and authorization patterns in modern applications: OAuth 2.0, OIDC, SAML, RBAC, and ABAC.
- Demonstrated ability to drive cross-functional security initiatives — partnering with engineering, product, and compliance to embed security into roadmaps, influence architectural decisions, and align stakeholders across boundaries.
Nice to Have
- Proficiency in Python, Java, and/or JavaScript for security automation and tooling.
- Container and orchestration security (Kubernetes runtime protection).
- Software supply chain security and artifact integrity verification.
- Experience with bug bounty programs — triaging findings, driving root-cause analysis, and turning results into systemic security improvements.
- Familiarity with compliance and governance frameworks (SOC 2, ISO 27001, NIST 800-53, NIST AI RMF).
- Certifications such as CKS, CISSP, CSSLP, or AI/ML security credentials.
Why Join Us?
- Work on cutting-edge security challenges in a fast-growing company.
- Opportunity to shape and drive product security strategy.
- Collaborative and security-minded engineering culture.
- Competitive compensation, benefits, and career growth opportunities.
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.
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
Benefits mentioned
- Work on cutting-edge security challenges in a fast-growing company.
- Opportunity to shape and drive product security strategy.
- Collaborative and security-minded engineering culture.
- Competitive compensation, benefits, and career growth opportunities.
- 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.
- Base Compensation Range
- $182,000—$228,000 USD
- AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
- In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
- Recruiting Scams and Fraud
- We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
- If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
Requirements mentioned
- 5–7+ years in product, application, or cloud security engineering.
- Deep understanding of secure SDLC, threat modeling, and secure architecture design.
- Ability to read and review code to inform threat models and design reviews.
- Experience securing AI/ML pipelines, data workflows, and model-serving infrastructure, with working knowledge of AI/LLM security (prompt injection, model integrity, provenance).
- Proven expertise with cloud security concepts and best practices across multi-cloud environments.
- Familiarity with DevSecOps and CI/CD environments.
- Familiarity with encryption fundamentals — symmetric and asymmetric cryptography, TLS/mTLS, key management, and secrets handling.
- Understanding of authentication and authorization patterns in modern applications: OAuth 2.0, OIDC, SAML, RBAC, and ABAC.
- Demonstrated ability to drive cross-functional security initiatives — partnering with engineering, product, and compliance to embed security into roadmaps, influence architectural decisions, and align stakeholders across boundaries.
- Proficiency in Python, Java, and/or JavaScript for security automation and tooling.
- Container and orchestration security (Kubernetes runtime protection).
- Software supply chain security and artifact integrity verification.
- Experience with bug bounty programs — triaging findings, driving root-cause analysis, and turning results into systemic security improvements.
- Familiarity with compliance and governance frameworks (SOC 2, ISO 27001, NIST 800-53, NIST AI RMF).
- Certifications such as CKS, CISSP, CSSLP, or AI/ML security credentials.
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