Top Tech Jobs & Startup Jobs

Provides customer and insurance-agent support through email, live chat, SMS, and phone. The role communicates policy status, compensation, payments, and contract details; resolves inquiries within service levels; maintains product and process knowledge; meets support goals; and identifies process improvements. Strong attention to detail, communication, organization, adaptability, and problem-solving are essential.

Leads daily operations for a 40-plus-person partner support team, managing workload, escalations, service-level targets, performance analysis, quality standards, hiring, coaching, and development. The role improves support processes, represents partner feedback internally, collaborates with CX and Product leadership, and scales AI-assisted workflows while maintaining human oversight. It requires strong customer support management, stakeholder communication, root cause analysis, and experience with high-volume ticketing environments.

Lead cross-team technical programs across engineering and product organizations. Responsibilities include managing end-to-end project plans, coordinating dependencies, driving process improvements, facilitating Scrum ceremonies, supporting agile practices, managing delivery through implementation, and communicating status to stakeholders and leadership. The role also partners on product strategy, coaches teams, and operates independently in a fast-paced environment.

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.

Lead development and optimization of life insurance products across the full lifecycle, including product design, distribution, underwriting, purchase, and administration. Collaborate with carriers, engineers, designers, data scientists, and third parties to integrate policy administration and carrier systems, eApplication platforms, contract-generation systems, and ACORD data standards. Analyze product and distribution opportunities, run discovery experiments, validate hypotheses, and scale products to improve customer, agent, and partner value.

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.