Top Remote Jobs

Partner with enterprise financial firms to design and implement scalable practice management programs. Lead executive engagement, success roadmapping, content and curriculum development, and live facilitation. Drive adoption through program design, data-driven recommendations, and feedback to Product. Travel regularly to client sites and industry events to deliver sessions and represent Zocks as a subject-matter expert.

Lead enterprise practice management engagements for large RIAs, broker-dealers, banks, and insurers. Design rollout strategies, build scalable enablement programs and content, run discovery workshops, analyze data to recommend operational improvements, and deliver in-person/virtual facilitation and industry presentations. Act as enterprise client voice to product and travel frequently for client meetings and conferences.

Manage a team of TPRM analysts to run the vendor risk lifecycle, improve tooling and automation (ServiceNow TPRM, AI), perform assessments and audits, develop TPRM policies aligned to frameworks (NIST/ISO/SOC 2), partner with procurement/legal/IT, track KPIs, and support audit and reporting to leadership.

Operate and automate large-scale data plane services (Cassandra, Elasticsearch/OpenSearch, Kafka, etc.), build infrastructure for a devops model, troubleshoot production incidents, and ensure petabyte-scale data is secure, available, and efficiently managed.

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

Manage end-to-end California workers' compensation claims, including complex/high-exposure files. Conduct investigations, determine compensability, set reserves, manage medical and indemnity benefits, control litigation and legal costs, negotiate settlements, and provide excellent service to agents and insureds while mentoring junior adjusters and improving claims processes.

Partner with financial institutions to assess technical needs, deliver tailored product demos, respond to RFPs, and coordinate with product, implementation, and customer success to drive deals and revenue growth. Serve as the technical bridge between prospects and internal teams.

Lead operational risk management for Workplace Solutions globally, assessing risks for new initiatives, overseeing risk assessments and testing, reviewing loss events, supporting regulatory deliverables, engaging with horizontal risk programs, preparing materials for governance forums, and promoting a strong operational risk culture across regions and stakeholder groups.

Execute and manage compliance and operational risk testing: assess control design and effectiveness, identify gaps, drive remediation, improve testing methods, and collaborate with stakeholders to ensure timely, accurate risk controls and reporting.

Manage a portfolio of 100-130 small business clients, deliver tailored business banking and cash management solutions, identify lending opportunities up to ~$500K, build relationships through in-person outreach, collaborate with internal partners, and follow risk management and regulatory protocols.

Lead end-to-end recruitment for enabling functions: partner with hiring managers, source active and passive candidates, manage candidate experience, assess and close hires, build talent pools, and drive continuous improvement and SLA performance alongside TA leads and coordinators.

Lead end-to-end recruitment for enabling functions: partner with hiring managers, source active and passive talent, manage candidate experience, support offers and internal moves, build talent pools, coach managers, and drive continuous improvement and SLA/quality metrics in collaboration with BU TA and People Experience leads.

Handle escalated multi-channel customer inquiries (billing, renewals, cancellations, RMAs), mentor peers, manage high-volume cases, improve processes, and provide actionable insights to improve customer experience and retention.

Build automated reliability and self-healing platform tooling to protect production at scale. Improve incident management, reduce alert noise, evolve observability (monitoring, SLOs, performance detection), and develop AI-driven operational automation. Partner with product teams to diagnose reliability gaps, drive incident prevention, and champion operational excellence and best practices across engineering.

Develop, train, and optimize computer vision and ML models (particularly video-based safety) using petabyte-scale camera and sensor data. Deploy and optimize models for backend and edge inference, collaborate with cross-functional teams, and translate customer needs into scalable ML/CV solutions.

Own and improve end-to-end payroll and partner operational processes across CX. Design scalable workflows, define SLAs and escalation paths, coordinate incidents, analyze data for trends and risks, and drive cross-functional process standardization using Zendesk, Slack, Asana, and related systems.

Provide technical support and escalations for payroll customers: troubleshoot payroll runs, taxes, benefits, integrations, and data flows; advise on payroll configurations and compliance; partner with Product and Engineering to drive improvements and prevent payroll risks.

Design, build, test, and maintain web-based enterprise applications across the full stack. Gather requirements, translate to technical solutions, enhance existing software and integrations, troubleshoot issues, participate in Agile ceremonies, write documentation, contribute to code reviews and architecture, and mentor junior team members.

Handle incoming owner relations inquiries about revenue, land, division orders, JIB, A/R, and A&P. Log and follow up cases in a tracking system, build trusting client relationships, manage difficult situations calmly, provide accurate timely responses, and participate in cross-training.

Design, build, and maintain high-throughput data ingestion and processing pipelines; integrate AI-powered infrastructure; implement and support complex computing algorithms and distributed services; own systems end-to-end including architecture, observability, reliability, and operational support; lead architectural initiatives and reduce system complexity while maintaining performance on large-scale real-time data.