
Rithum
Staff Information Security Engineer at Rithum
$170,000–$220,000 / year
Apply for this positionRole overview
An at-a-glance view of the facts included with this Staff Information Security Engineer at Rithum listing.
- Company
- Rithum
- Location
- Remote, United States
- Work arrangement
- Remote
- Employment type
- Full-time
- Compensation
- $170,000–$220,000 / year
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Role overview
This job description has been rewritten in fresh language using the facts in the listing. Source credit and original listing details are available below.
Rithum is hiring a Staff Information Security Engineer to help secure its growing use of AI across products and internal operations. The role combines security engineering, automation, and risk management, with an emphasis on turning security requirements into practical, enforceable controls for cloud, enterprise, and AI environments.
You will build preventive controls using policy-as-code and infrastructure-as-code, establish access boundaries for AI systems and non-human identities, and define security requirements for AI-powered features. The work also includes threat modeling LLM-based and agentic systems, supporting vendor reviews, maintaining risk tracking, and connecting security tools with LLM-based workflows. Automated and AI-assisted processes should include human approval gates, least-privilege credentials, and attention to potential impact.
The engineer works autonomously and collaborates with Platform Engineering, IT, Security Champions, and external auditors to reconcile security needs with implementation realities. The position is remote in the United States, requires up to 10% travel, and pays a base salary of $170,000–$220,000 per year. The expected discretionary bonus is 12% of annual base salary. Benefits include health coverage with company HSA contributions beginning on Day 1, a 6% 401(k) match, paid leave, caregiver leave, a $65 monthly remote-work stipend, and other listed wellness and development benefits.
Role at a glance: Remote U.S. staff security engineering role focused on AI security, cloud controls, identity, and security automation, with a $170,000–$220,000 base salary and a 12% discretionary bonus.
Responsibilities mentioned in the listing
- Bridge security architecture and implementation by resolving requirements-versus-feasibility conflicts, proposing compensating controls, and tracking residual risks through remediation.
- Implement default-on preventive security controls across cloud and enterprise environments using policy-as-code and infrastructure-as-code, including rules for AI tools and models.
- Establish identity and access controls, including boundaries for AI systems and non-human or agent identities, in collaboration with Platform Engineering and IT.
- Help maintain the information security risk register and turn emerging threats into actionable engineering guidance.
- Support third-party and vendor risk assessments, particularly for vendors processing data through AI pipelines.
- Automate recurring security workflows such as evidence collection, access reviews, and alert enrichment; build or operate AI-assisted agents with human approval, least-privilege credentials, and defined blast-radius safeguards.
- Connect SIEM, CSPM, DAST/SAST, and vulnerability-scanning tools with LLM layers to produce actionable findings and automated responses.
Qualifications stated in the listing
- At least 5 years of security engineering experience, with demonstrated depth in AI/ML security, including prompt injection, model supply chains, adversarial inputs, and RAG.
- Experience using AI tools such as ChatGPT, Copilot, or Claude and LLM frameworks or APIs such as OpenAI, Anthropic, or LangChain to improve work.
- Hands-on identity and access expertise across modern enterprise and cloud systems, including access models for AI and non-human identities.
- Experience with infrastructure-as-code and policy-as-code, such as Terraform and OPA/Rego, and scripting skills for automation; Python is preferred.
- Cloud security expertise, demonstrated through AWS Solutions Architect or Security Specialty credentials or equivalent experience, including multi-account governance, preventive guardrails, and policy-as-code.
- Application security knowledge covering the OWASP Top 10 and OWASP LLM/GenAI Top 10, secure SDLC, and threat-modeling methods such as STRIDE or PASTA.
- Practical experience building or operating AI agents and integrating SIEM, CSPM, SAST/DAST/SCA, or related security tools to surface actionable outcomes rather than raw alerts.
- Working knowledge of SOC 2 and/or ISO 27001 control frameworks.
Full details from the source listing
Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.
Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.
Overview
Rithum expects employees across all roles to leverage AI and technology to improve efficiency, streamline workflows, and create scalable ways of working.
Rithum is embedding AI into every corner of how it operates — and security is no exception.
As a Staff Information Security Engineer, you own the intersection of AI adoption and information security: designing guardrails for AI-powered products, building automated security tooling, designing security controls and monitoring for an AI-First workforce, helping every team at Rithum move fast without creating risk they cannot see. This is not a typical security role. You spend as much time building and automating as you do reviewing, turning a repeating control into infrastructure-as-code, a manual review into a workflow, and a vague AI risk into a concrete, enforced guardrails. You work autonomously, balancing research with fast-paced delivery, and collaborating closely with Platform Engineering, IT, Security Champions, and external auditors.
Responsibilities
- Act as the bridge between architectural intent and operational reality; mediate conflicts between security requirements and feasible implementation, propose compensating controls where gaps exist and help register, track and remediate residual risks.
- Implement preventive, default-on security controls across cloud and enterprise environments, codified as policy- and infrastructure-as-code so security is enforced by design, including controls that govern how AI tools and models may be used.
- Implement and enforce identity and access controls to an agreed standard, including access boundaries for AI systems and non-human/agent identities by partnering with Platform Engineering and IT to align tooling and policy to the architecture.
- Assist in maintaining the InfoSec risk register; track emerging threats and translate them into actionable guidance for engineering teams.
- Support third-party and vendor risk assessments, with a focus on vendors who process data through AI pipelines.
- Automate repetitive security workflows (evidence collection, access reviews, alert enrichment) and build or operate AI-assisted security agents — with human-in-the-loop approval gates, least-privilege credentials, and explicit attention to each agent's own blast radius.
- Integrate security tooling (SIEM, CSPM, DAST/SAST, vulnerability scanners) with LLM layers to surface actionable insight and automated responses.
- Define and enforce security requirements for AI-powered features: model access controls, prompt-injection mitigations, output validation, and data-handling boundaries.
- Conduct threat modelling on agentic and LLM-based systems, accounting for novel attack surfaces such as tool misuse, indirect prompt injection, and supply chain risk.
Qualifications
Minimum Qualifications
- 5+ years of security engineering experience with demonstrated AI/ML security depth (prompt injection, model supply chain, adversarial inputs, RAG).
- Experience using AI tools (ChatGPT, Copilot, Claude, etc.) and LLM frameworks and APIs (OpenAI, Anthropic, LangChain, or similar) to accelerate and elevate your work.
- Hands-on identity and access expertise across modern enterprise and cloud identity stacks, including access models for AI systems and non-human identities.
- Infrastructure and policy-as-code (e.g. Terraform, OPA/Rego) and proficiency in a scripting language for automation (Python preferred).
- Cloud security expertise: AWS Solutions Architect / Security Specialty or equivalent demonstrated expertise, including multi-account governance, preventive guardrails, and policy-as-code.
- Application security (OWASP Top 10 and the OWASP LLM/GenAI Top 10, secure SDLC) and threat-modelling methodologies (STRIDE, PASTA, or equivalent). Practical experience building or operating AI agents, and integrating security tooling (SIEM, CSPM, SAST/DAST/SCA) so it surfaces action rather than raw alerts.
- Working knowledge of SOC 2 and/or ISO 27001 control frameworks.
Preferred Qualifications
- Experience building or operating AI agents in a production environment.
- Awareness of privacy regulation (GDPR/CCPA) as it touches AI including privacy-by-design and DPIAs.
- Red teaming or adversarial ML research backgrounds.
- Experience implementing privileged-access, key-management, posture-management, or data-protection programs.
- Experience with EDR, CASB, DLP, Security automation and SAST, DAST, IAST and SCA tools.
- Cloud Architecture or Security certifications (CCSK, TAISE, AWS).
Travel Required
Up to 10%
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
What it’s like to work at Rithum
When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.
As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.
At Rithum you will:
- Partner with the leading brands and retailers.
- Connect with passionate professionals who will help support your goals.
- Participate in an inclusive, welcoming work atmosphere.
- Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
- Receive industry-competitive compensation and total rewards benefits.
We believe in transparency and fairness in our compensation practices.
For this position, the expected base pay range is: $170,000-$220,000 per year.
This range represents the base pay for the role across all U.S. locations and is determined based on market data, internal equity, and experience. Final compensation may vary depending on geographic location, skills, and relevant experience.In addition to base pay, we offer a discretionary bonus for non-sales roles, a comprehensive benefits package, and, where applicable, sales incentives.
For this position, the expected discretionary bonus is 12% of the annual base salary.
Benefits
- Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1
- A 6% 401(k) match
- Competitive time off package with 20 days of Paid Time Off, 9 Company-Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days
- 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave
- Accident, critical illness, and hospital indemnity insurance
- Pet insurance
- Legal assistance and identity theft insurance plans
- Life insurance 2x salary
- Access to the Calm app and the Employee Assistance Program
- $65/month Remote work stipend for internet
- Culture and team-building activities
- Tuition assistance
- Career development opportunities
- Charitable contribution match up to $250 per year
Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.
We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.
