Manager, Product Security Chime Capital, LLCManager, Product SecuritySan Francisco, CARemoteOur in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
Privacy Advisory - Senior Manager CohnReznick LLPPrivacy Advisory - Senior ManagerSan Francisco, CA$160,000–$250,000 / yearJoin a diverse team of fun-loving, energetic professionals with decades of experience managing security, technology, and privacy risks in nearly every industry sector who have a passion for creating tailored solutions that go beyond technology offerings or tools and help clients reduce cost of compliance while mitigating risks. Experience implementing and sustaining tools such as OneTrust, TrustArc, BigID (or similar) across use cases such as data mapping, data discovery, privacy impact assessments, consent/preference management, cookie compliance, data subject rights, and more.
Project Manager - Water/Wastewater Black & Veatch Holding CoProject Manager - Water/WastewaterWalnut Creek, CA$126,236–$253,617 / yearBe responsible for the day-to-day successful execution of contracted engineering, procurement, and construction scope in the areas of performance, financial metrics, planning, schedule, quality, contractual compliance, safety, and client satisfaction. We help our customers leverage our industry-leading solutions and expertise to modernize water infrastructure, optimize asset use, meet performance goals, reduce costs, and mitigate risk no matter where the water industry goes next.
Liability Zone Leader - West Allianz SELiability Zone Leader - WestSan Francisco, CARemote$185,000–$250,000 / yearA minimum of 8 years of experience in underwriting profitable Liability business, including specialized expert understanding of sub-LoB products and portfolio; Recognized, well-established long term relationship building with brokers at peer group level and within the local market; Specialized understanding of regional/local Liability insurance markets and competitor landscape, including global elements; Understanding of legal and regulatory framework; Ability to assess risk inherent exposures and natural hazards relevant to Liability; Ability to analyze current performance against benchmarks applying how the market operates and functions, the business needs and customer needs; Experience designing, developing and implementing consistent, robust wordings; Robust understanding of policy administration life cycle, information collection, policy issuance, premium bookings, credit control, and cancellation; Ability to analyze highly complex data, from multiple sources, in detail, identifying and resolving issues before they transpire; Excellent written and verbal communications skills, with an ability to influence others; Experience with MS Office tools; Significant experience in leadership and development of direct teams, including coaching, mentoring and developing team members and performance assessment; Ability to persuade and motivate others to act, without executive authority; A deep knowledge of artificial intelligence (AI) and machine learning (ML), with the ability to leverage AI-driven insights to shape strategic decisions and drive innovation across the organization; and. The Impact You Will Have: Reporting to the Head of National Accounts, Liability, the Liability Zone Leader - West will: Lead a team of underwriters/team leads to underwrite profitable new and renewal business to meet Liability targets regionally and/or globally; Lead team in negotiating participation, pricing and terms and conditions for large/critical clients; Take ownership of large/critical accounts/clients and will have ultimate responsibility for accounts within the team; Lead and manage a team, including training and development and act as the referral point for other underwriters; and.
Technical Program Manager Pride Technologies LLCTechnical Program ManagerSan Francisco, CA$75–$80 / hourProgram Overview: We are seeking experienced Technical Program Managers to support a large-scale Google Cloud Platform (GCP) modernization program spanning three workstreams: Data Delivery, AI/ML Insights, and Cross Workstream. We are the staffing arm of the Pride Global network, a minority-owned integrated human capital solutions firm, with additional offerings in vendor management, payroll programs, and business process optimization.
Privacy Program Manager, IS&T - IT Governance & Planning Apple IncPrivacy Program Manager, IS&T - IT Governance & PlanningSunnyvale, CALead end-to-end execution of privacy projects, including planning, tracking, and delivery of key milestones Partner with Legal, Security, Product, Engineering, and Compliance teams to operationalize privacy requirements Implement and maintain privacy frameworks aligned with regulations such as GDPR, CCPA, and other global laws especially those surrounding the use of AI Facilitate Privacy Impact Assessments (PIAs) Develop and maintain data inventories, data flow maps, and records of processing activities (RoPA) Track and manage privacy incidents, ensuring timely escalation and resolution Support responses to data subject requests (DSARs), audits, and regulatory inquiries Drive privacy-by-design principles in product development lifecycles Develop and deliver privacy training and awareness programs across the organization Monitor evolving regulatory requirements and industry best practices5+ years of experience in privacy, data protection, compliance, or related program/project management roles Strong understanding of global privacy regulations Experience managing cross-functional projects and working with distributed teams Strong analytical, organizational, and problem-solving skills Excellent stakeholder management abilities Bachelors of Science in Information Systems, Security, or Computer Science or similar degree or equivalent experienceKnowledge of data security principles and risk management frameworks Knowledge of global AI regulatory obligations Knowledge of EU privacy laws Excellent communication Ability to balance legal/compliance requirements with business needs Experience in technology, SaaS, AI frameworks. This is a high-visibility role that will drive execution of privacy programs, ensure compliance with global data protection regulations, and partner cross-functionally to embed privacy-by-design into products and processes.
Head Of Risk Modern TreasuryHead Of RiskSan Francisco, CAYou will help Modern Treasury expand into stablecoins, wallets, RfP, and local rails in other countries safely - understanding the risks unique to each rail, partnering with Product on controls that are both safe and usable, and designing for new money-movement patterns before they become edge cases at scale. With best-in-class developer tools and a single API for fiat and stablecoins, plus built-in compliance, ledgering, and reporting, Modern Treasury enables businesses to move money instantly, reliably, and at scale.
Head of Risk Modern TreasuryHead of RiskSan Francisco, CaliforniaYou will help Modern Treasury expand into stablecoins, wallets, RfP, and local rails in other countries safely — understanding the risks unique to each rail, partnering with Product on controls that are both safe and usable, and designing for new money-movement patterns before they become edge cases at scale. With best-in-class developer tools and a single API for fiat and stablecoins, plus built-in compliance, ledgering, and reporting, Modern Treasury enables businesses to move money instantly, reliably, and at scale.
Senior Operations Analyst, User Safety & Risk Operations OpenAISenior Operations Analyst, User Safety & Risk OperationsSan Francisco, CaliforniaFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. Lead sensitive investigations, incident response, or launch-readiness work, including safety workflows, human review, escalation paths, partner coordination, and operational monitoring for product launches or cloud deployments.
Machine Learning Engineer Graduate (E-Commerce Risk Control) - 2027 Start Beijing ByteDance Technology Co LtdMachine Learning Engineer Graduate (E-Commerce Risk Control) - 2027 StartSan Jose, CAProficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, and unsupervised learning. As content creation becomes automated and adversaries adopt systematic experimentation (e.g., large-scale template variation and rapid iteration), traditional rule-based and single-model approaches are no longer sufficient.
Machine Learning Engineer Intern (E-Commerce Risk Control)- 2027 Start (PhD) Beijing ByteDance Technology Co LtdMachine Learning Engineer Intern (E-Commerce Risk Control)- 2027 Start (PhD)San Jose, CAProficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, and unsupervised learning. As content creation becomes automated and adversaries adopt systematic experimentation (e.g., large-scale template variation and rapid iteration), traditional rule-based and single-model approaches are no longer sufficient.
Machine Learning Engineer Graduate (E-Commerce Risk Control) - 2027 Start (PhD) Beijing ByteDance Technology Co LtdMachine Learning Engineer Graduate (E-Commerce Risk Control) - 2027 Start (PhD)San Jose, CAProficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, and unsupervised learning. As content creation becomes automated and adversaries adopt systematic experimentation (e.g., large-scale template variation and rapid iteration), traditional rule-based and single-model approaches are no longer sufficient.