Top Tech Jobs & Startup Jobs

Process annuity new business applications, review documents and payments for completeness, manage follow-up requirements, resolve routine questions, and maintain accurate case documentation and workflow status. The role requires insurance domain knowledge, strong attention to detail, accurate data entry, effective communication, basic financial math, and proficiency with Excel and Outlook while working fixed U.S. shifts.

Build and scale Zinnia’s customer identity and access management platform. Responsibilities include authentication flows, SSO federation, passwordless login, machine-to-machine access, fine-grained authorization, automated provisioning, CIAM APIs, application integrations, testing, observability, on-call support, audit readiness, and collaboration with product, security, and compliance teams.

Process complex annuity claims, research customer inquiries, resolve routine questions using established guidelines, and maintain accurate records across multiple applications. The role requires meeting strict timelines, maintaining insurance product knowledge, delivering strong customer service, and working fixed U.S. shifts. Candidates need life insurance claims experience, accurate typing, business communication skills, basic math ability, and proficiency with Excel and Outlook.

Prepare and review month-, quarter-, and year-end financial statements, cash flows, consolidations, intercompany eliminations, equity rollforwards, and audit documentation. Partner with FP&A and leadership on investor reporting, coordinate financial statement footnotes, monitor audit requests, maintain GAAP checklists, review P&L coding, and prepare going concern and acquisition analyses. The role also supports reconciliations and ad hoc reporting.

Leads budgeting, forecasting, long-range planning, financial modeling, variance analysis, management reporting, and scenario analysis for assigned business units. Partners with technology and functional leaders to guide strategic decisions, manage costs and headcount, analyze revenue and margins, and improve financial performance. Drives automation, reporting scalability, forecasting accuracy, financial controls, and actionable insights through enhanced FP&A processes.

Manages client support requests, escalations, operational reporting, and service issues from intake through resolution. Coordinates with Operations, Technology, Finance, Licensing, and Shared Services teams; communicates status and outcomes to clients; supports operational reviews and presentations; tracks commitments; and identifies process improvements to strengthen service quality and efficiency.

Drive the product lifecycle for life insurance and annuity technology solutions, including research, roadmap development, requirements, launches, and commercialization. Evaluate market opportunities and build-versus-buy decisions, identify product gaps, manage API integrations with engineering teams, coordinate releases, and investigate escalated production issues. Document business impacts, resolutions, and preventative measures while collaborating with cross-functional stakeholders.

Owns life insurance and annuity product initiatives across research, roadmap development, requirements, integrations, releases, commercialization, and production issue resolution. Evaluates customer needs, market trends, partnerships, and build-versus-buy decisions. Collaborates with engineering and cross-functional teams to develop scalable technical and business solutions, manage APIs, assess product performance, and document incident resolutions.

Build and maintain scalable AWS data platforms, pipelines, storage, orchestration, and infrastructure. Provision AWS and Snowflake resources with Terraform, develop ELT/ETL workflows using Airflow, dbt, and Airbyte, and support containerized services, streaming, observability, data quality, governance, and cost optimization. Partner with senior engineers and cross-functional teams to troubleshoot platform issues, document standards, and enable reliable analytics and machine learning data use cases.

Build and maintain scalable AWS data platforms, pipelines, storage, orchestration, and infrastructure using Python, SQL, Terraform, Snowflake, Airflow, dbt, and related tools. Implement observability, data quality, governance, access controls, lineage, and cost optimization. Deploy containerized services, support streaming integrations, troubleshoot platform issues, and collaborate with senior engineers and cross-functional data teams.