Jobs at Bazaarvoice

Serve as lead legal advisor to product, engineering, and technology teams on AI, software, cloud, privacy, cybersecurity, intellectual property, and technology transactions. Develop AI governance and responsible-use policies, assess regulatory and ethical risks, negotiate technology and AI vendor agreements, advise on IP and data workflows, monitor global technology regulations, and train employees. The role requires significant legal experience, active bar membership, AI and privacy expertise, and the ability to influence executive and cross-functional stakeholders.

Leads and scales Product Operations across a global Product and Engineering organization. Responsibilities include product launch readiness, knowledge management, roadmap governance, product lifecycle standardization, operational metrics, AI-driven workflow optimization, technology stack ownership, and cross-functional enablement. The role manages four Product Program Managers and the Product Knowledge team while improving product processes, feedback systems, documentation, and organizational efficiency.

Leads global sales compensation strategy, incentive plan design, commission calculations, governance, analytics, payroll validation, and executive reporting. Partners with Finance, HR, Revenue, FP&A, Accounting, Data, and Sales Operations to ensure accurate payouts, forecasting, accruals, and data integrity. Oversees Everstage workflows, Salesforce CPQ-related commission issues, policy exceptions, and a distributed team of two analysts while driving process improvement and AI adoption.

Review and code large volumes of English and Spanish user-generated text, images, and videos according to client guidelines. Meet accuracy and productivity metrics, respond to feedback, attend coaching, perform quality assurance checks, and work independently in a remote queue environment. The role requires a semi-flexible 16-hour weekly schedule, with potential increases to 29 hours, including weekend availability.

Design, develop, deliver, and own client-facing software solutions. Make architectural decisions involving cloud systems, microservices, serverless technologies, streaming, CI/CD, security, data management, and observability. Champion code and operational excellence, lead troubleshooting, mentor engineers, collaborate with clients and cross-functional stakeholders, drive technical innovation, and guide responsible adoption of agentic AI.

Lead and execute complex offensive security engagements against applications, infrastructure, and cloud environments. Manage third-party penetration tests and bug bounty programs, develop offensive tooling and automation, mentor engineers, conduct threat modeling, and drive remediation across teams.

Drive net-new enterprise SaaS revenue across Fortune 500 CPG, retail, and e-commerce organizations. Build and manage high-value pipelines using Salesforce and MEDDPICC, develop strategic account plans, conduct consultative executive-level selling, negotiate complex contracts, and collaborate with Solutions Consulting, Customer Success, Product Marketing, and Legal. The role requires expertise in e-commerce and digital marketing, enterprise deal cycles, value selling, and structured sales methodologies.

The Senior HRIS Analyst configures, tests, supports, and maintains the global Workday ecosystem. Responsibilities include translating HR needs into scalable solutions, resolving complex system issues, auditing business processes, reviewing security and data compliance, supporting Workday releases, developing documentation, partnering with HR stakeholders, and building complex reports, calculated fields, and dashboards. The role requires strong HCM knowledge, global HR process expertise, Workday configuration experience, and proficiency with EIB data loads.

Lead the design and implementation of scalable, distributed systems, focusing on Reporting and Insights applications for clients. Guide software initiatives, mentor team members, and drive engineering best practices.

Design, build, and support large-scale data systems and pipelines, ensuring reliability and scalability while collaborating with cross-functional teams to meet data requirements.