Principal Security Engineer, Product & Ai - $218,300 - $295,300 A Year - Remote (Winnipeg)

Principal Security Engineer, Product & Ai - $218,300 - $295,300 A Year - Remote (Winnipeg)

29 Aug
|
Marqeta
|
Winnipeg

29 Aug

Marqeta

Winnipeg

Principal Security Engineer, Product & AIRemote, USAAs Marqeta’s Principal Security Engineer you will serve as the technical lead across our security engineering function. This role combines three critical responsibilities: leading product security engineering across our payment platform, building our AI security program as we scale generative AI and ML capabilities, and providing security architecture oversight across enterprise and infrastructure security.Your primary focus will be product security and AI—threat modeling payment features, securing APIs, building genAI controls, and ensuring AI-powered capabilities ship securely. You'll also own the security architecture function and provide technical oversight for infrastructure security—endpoint protection, network security, VPN, and enterprise security controls—ensuring coherent security standards across everything we build and operate.You’ll partner closely with Product Security, Infrastructure Security, and Security Operations teams and serve as the security voice in our Model Risk Office. This is an individual contributor role with mentoring responsibilities and broad technical influence across the security, engineering, and business technology organizations.We work Flexible First. This role can be performed remotely anywhere within the United States or from our Oakland office. We’d love for you to join us!You’ll have the chance to:Lead product security engineering for our payment platform—owning threat modeling, security architecture review, secure SDLC practices, and API security across the engineering organizationHelp mature our AI security program, developing genAI controls, securing ML pipelines, and working alongside the Model Risk Office for model evaluations.Provide security architecture oversight across infrastructure and enterprise security—endpoint, network, VPN, and corporate security controls—ensuring technical standards are coherent across all security domainsShape how security engineering scales across the organization through tooling, frameworks, security champions engagement, and engineering partnershipsThe Impact You'll HaveProduct SecurityConduct security architecture reviews and threat modeling for new product features, APIs, and service integrations across the payment platformDefine and maintain secure development lifecycle practices including secure code review standards, API security patterns, and authentication/authorization frameworksDevelop self‑service security tooling and developer‑facing guardrails that reduce friction while maintaining security postureAI SecurityLead security strategy and risk assessment for AI/ML systems including customer‑facing AI products, fraud detection models, LLM integrations, and recommendation systemsBuild genAI security controls—prompt injection prevention, output filtering, model validation, and monitoring frameworksPerform security assessments of AI/ML model architectures, training pipelines, inference endpoints, and deployment infrastructureEvaluate and operationalize AI‑powered security tools (e.G., AI‑assisted code review, anomaly detection, automated threat intelligence) to improve security operationsEnterprise & Infrastructure Security OversightProvide technical oversight for infrastructure security including endpoint protection, network security, VPN,



and enterprise security controlsEnsure coherent security architecture standards across product, cloud infrastructure, and corporate environmentsDrive technical decisions for security tooling and controls that span the full environment—from developer laptops to production infrastructureAcross All DomainsPartner across Product Security, Infrastructure Security, and Security Operations teams as well as engineering, data science, and complianceMentor security engineers and cross‑functional teams, raising the organization's overall security engineering maturityCommunicate security risks and strategy to executive and board‑level audiencesWho You Are10+ years of security engineering experience with demonstrated technical leadership across multiple security domains; or equivalent combination of education and experienceDeep product security expertise: threat modeling, security architecture review, secure code review, API security, authentication/authorization design, and secure SDLC practicesExperience with or strong interest in AI/ML security—understanding of risks including adversarial attacks, model poisoning, prompt injection, data privacy, and AI supply chain threats. We want someone who is genuinely excited about AI technology and wants to secure it, not just govern itBroad security fluency across infrastructure and enterprise security—endpoint protection, network security, identity, and cloud security—even if your deepest expertise is in application and product securityExperience working in cloud‑native environments (AWS preferred) with familiarity across AI/ML services (Bedrock, SageMaker, etc.)Proven ability to build security frameworks, tools, and programs from the ground upStrong programming skills in at least one language (Python, Java, Go, or similar) with the ability to read and review code across multiple languagesExperience with security assessment methodologies and risk management frameworksWorking knowledge of compliance and control frameworks relevant to financial services (PCI DSS, SOX, SOC2, NIST CSF)Ability to communicate complex security risks to both technical and executive audiencesNice to HaveFinancial services or fintech experience strongly preferredExperience securing payment processing systems, card issuing platforms, fraud detection models, or transaction monitoring infrastructureHands‑on experience with LLM security: prompt injection mitigation, output filtering, RAG security, agent security patternsExperience with enterprise security platforms (EDR, SIEM, identity providers, network security tools)Experience with ML frameworks (PyTorch, TensorFlow) or background in data science / machine learning engineeringKnowledge of AI governance, model risk management practices, and emerging AI regulatory frameworks (EU AI Act, NIST AI RMF)Background in supply chain security, CI/CD pipeline security, or secure software composition analysisExperience with privacy‑preserving ML techniques (differential privacy, federated learning, secure multi‑party computation)Experience with Kubernetes,



containerized workloads, and Infrastructure as Code (Terraform)CISSP, CCSP, CISA, or other relevant security certificationsExperience building and scaling security programs in high‑growth environmentsCompensation and BenefitsMarqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States:National : A baseline tier that applies to most of the geographic territory of the United States.Premium : Slightly elevated from the National tier, and oriented toward a narrower set of higher cost‑of‑living areas, such as Los Angeles, CA and Seattle, WA.Premium Plus : A tier for the most expensive working areas, like the San Francisco Bay area and New York City.Visit this page or consult with a Recruiter to determine which tier would be applicable to you.When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new‑hire base salary range for this position is:National: $218,300 – $272,900Premium: $236,200 – $295,300We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.Along with monetary compensation, Marqeta offersMultiple health insurance optionsFlexible time off – take what you needRetirement savings program with company contribution and after‑tax contributionsEquity in a publicly‑traded company and an Employee Stock Purchase ProgramFamily‑forming advantages, fertility support, and up to 20 weeks of Parental LeaveFree therapy sessions, financial and qualified coaching, and legal adviceMonthly stipend to support our remote work modelAnnual “development dollars” to support our people growth and developmentThrough Flex First, the freedom to live and work wherever you and your family thriveEqual Employment Prospect, Accommodations and PrivacyMarqeta is an equal chance employer committed to an inclusive workplace that fosters belonging. We do not discriminate based on race, color, religion, sex (including pregnancy, lactation, childbirth, or related medical conditions), veteran status or uniformed service member status, age, national origin or ancestry, citizenship or immigration status, physical or mental disability, gender identity, gender expression, sexual orientation, genetic information (including testing or characteristics) or any other characteristic protected by applicable law. We also consider qualified applicants with criminal histories, consistent with legal requirements.Marqeta endeavors to make reasonable accommodations for applicants with disabilities. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre‑employment testing, or otherwise participate in the employee selection process, please submit this form with your specific accommodation request.Personal data that is provided as part of the application and recruitment process is processed in accordance with the Applicant Privacy Notice. Additional information for California residents can be found here.#J-18808-Ljbffr

📌 Principal Security Engineer, Product & Ai - $218,300 - $295,300 A Year - Remote (Winnipeg)
🏢 Marqeta
📍 Winnipeg

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