Top Tech Jobs & Startup Jobs

Provides customer and insurance-agent support through email, chat, SMS, and phone. Responsibilities include communicating policy status, agent compensation, payments, and contract details; navigating consumer and partner systems; resolving inquiries within service levels; building agent relationships; meeting support goals; and identifying process improvements. Requires strong communication, problem-solving, organization, adaptability, and attention to detail.

Investigate offline and direct mail channel performance, attribution, vendor data, and measurement methodologies. Build response, lift, allocation, and regression models; manage direct mail testing data pulls and mail merges; create KPI dashboards; and communicate actionable recommendations to marketing stakeholders. The role requires proactively identifying opportunities, validating data and vendor claims, and translating complex analytical findings into business decisions.

Own the company’s data foundations and self-serve analytics strategy. Design and maintain event-based data models, scalable datasets, dashboards, monitoring, and alerting systems. Build and validate analytics solutions from raw pipelines through executive dashboards, improve data reliability, and drive adoption across teams. Identify opportunities to integrate AI into analytics workflows and translate technical concepts into actionable insights for non-technical stakeholders.

Lead and develop a remote team of 5–15 licensed life insurance agents. Drive sales-target achievement through coaching, onboarding, nesting, performance management, hands-on phone support, and talent development. Build a high-performance culture, establish measurable goals, support agent ramp-up and retention, analyze performance trends, and partner with sales leadership in a fast-paced environment.

Coordinate high-volume interviews across U.S. time zones, manage candidate communication and interview logistics, maintain Applicant Tracking System data integrity, and support travel arrangements. Troubleshoot day-of interview issues, partner on employer brand content, and organize virtual recruiting events. The role requires ongoing India-based night-shift work supporting a U.S. talent team, with strong organization, attention to detail, and cross-time-zone communication skills.

Own product analytics strategy across high-impact product areas, identifying growth opportunities and shaping product and executive decisions. Lead experiment design, guardrails, causal inference, power analysis, and cross-experiment interpretation. Validate and improve AI-generated analyses, develop customer and business insights, and connect patterns across data sources. Partner with product, design, engineering, and leadership while raising standards for analytical rigor and AI-assisted workflows.

Investigate and triage technical and product issues using backend tools and data platforms. Partner with product managers, engineers, and customer-facing teams to prioritize bugs, quantify impact, communicate resolutions, and improve customer experience. Advocate for customer needs during feature development and launches while surfacing behavioral insights, coordinating stakeholders, and strengthening product feedback loops.

Leads Ethos’s Platform Engineering teams, owning the strategy, architecture, reliability, and delivery of systems supporting insurance policies. Responsibilities include hiring and mentoring engineers, setting technical standards, driving cross-team architecture, building roadmaps, improving observability and incident response, and reducing operational toil. The role requires hands-on leadership across event-driven microservices, scalable backend architecture, AWS, TypeScript/Node.js services, databases, caching, and resilience patterns.

Generate product insights for a direct-to-consumer life insurance business through exploratory analysis, experimentation, A/B testing, dashboards, KPI monitoring, and user-funnel research. Partner with product managers, data engineers, and executives to evaluate feature performance, identify opportunities, maintain consistent business logic, and present actionable recommendations that support data-driven decisions.

Lead the annuities sales division, build teams, develop operational processes, and influence strategy while meeting revenue targets.