Jobs at Ethos

Build and operate internal data platforms, distributed workflow systems, and developer-facing applications. Develop Python libraries, administer Snowflake, Airflow, dbt Cloud, and Kafka, and own data governance, reliability, observability, and cost optimization. Support analytics engineering through orchestration, CI/CD, testing, and metadata capabilities. Automate service and ML model deployment while partnering with engineering, analytics, operations, business, and product teams.

Build and operate internal data platforms, distributed workflow systems, platform applications, and Python libraries. Administer Snowflake, Airflow, dbt Cloud, Kafka, and related infrastructure while managing governance, reliability, observability, and costs. Develop automation for service and ML model deployment, support analytics engineering, and ensure platform compliance with privacy and regulatory requirements. Collaborate with engineering, analytics, operations, business, and product teams to deliver reliable data capabilities.

Develops direct-response scripts for TV, radio, podcasts, UGC, paid social, and influencer campaigns. Creates compelling hooks, narratives, and calls to action for 15- and 30-second formats; adapts concepts across platforms; supports production shoots; collaborates with creative, production, editing, and performance marketing teams; and uses performance insights and AI tools to improve creative output.

Own end-to-end recruiting strategy for critical technology roles, including sourcing passive candidates, screening, candidate engagement, pipeline development, funnel management, interview scheduling, and hiring-manager partnership. Use recruiting metrics to guide strategy, build diverse talent pipelines, maintain timely candidate progression, and deliver a strong candidate experience. Recruiters should have technical sourcing experience and proficiency with recruiting tools such as Greenhouse, Gem, or LinkedIn Recruiter.

Design and manage a cloud-first IT environment, SaaS integrations, workflow automations, and AI-powered agents. Build secure JML and access automation using APIs, webhooks, OAuth, and SCIM across Okta, Google Workspace, Slack, HR, finance, and engineering systems. Partner with software engineering and security teams, apply least-privilege and compliance controls, analyze operational data, document standards, troubleshoot complex issues, and implement durable solutions.

Own end-to-end recruiting for critical technical and non-technical roles. Source passive and diverse talent, conduct candidate screening, manage pipelines and hiring metrics, coordinate interviews, and ensure a timely, high-quality candidate experience. Partner with hiring managers on requirements, profile reviews, funnel progress, and recruiting strategy. The role requires strong outreach, relationship-building, data-driven decision-making, and recruiting-tool proficiency.

Provides high-volume People Services support across onboarding, employee changes, records, offboarding, and employee questions. Owns cases end to end, maintains accurate confidential records, meets service levels, follows documented procedures, resolves routine and moderately complex issues, and escalates appropriately. Partners with HR teams and technology stakeholders while identifying recurring issues, process improvements, and automation opportunities.

Leads the People Services team responsible for high-volume employee lifecycle transactions, including onboarding, records, changes, offboarding, and employee inquiries. Owns service levels, quality, accuracy, case routing, documentation, compliance, and employee experience. Identifies workflows for automation and partners with People Product, HR Technology, and other HR teams to improve processes, reduce recurring requests, and maintain reliable people-system data.

Leads the global People Operations strategy, shared services team, tiered service model, and AI-enabled automation roadmap. Establishes service standards, governance, compliance controls, metrics, vendor management, and change-management practices across regions. Partners with HR Technology, IT, Legal, Finance, and People leadership to scale systems and processes while ensuring privacy, security, auditability, human oversight, and strong employee experience.

Leads strategic finance, corporate FP&A, budgeting, forecasting, financial controls, performance reporting, and resource allocation. Develops financial models, business analytics, unit economics, and strategic insights for executive decision-making. Builds finance processes and teams, implements planning and accounting tools, supports board reporting, and evaluates growth initiatives. Partners cross-functionally in a fast-paced startup environment while improving finance workflows through AI and enterprise planning systems.

Lead the design and operation of a cloud-first IT environment, including SaaS administration, endpoint management, security, automation, email platforms, and AI-powered workflow agents. The role drives cross-functional IT projects, mentors team members, maintains standards and documentation, resolves complex escalations, and supports onboarding and escalated tickets. Key responsibilities include managing Google Workspace, Proofpoint, Slack, Okta, Jamf, Intune, and related systems while improving reliability, security, and operational efficiency.

Leads and mentors a domestic and international life underwriting team while personally handling case underwriting. Responsibilities include recruiting, staffing analysis, onboarding and training, performance management, quality control, workflow optimization, underwriting engine rule implementation, and automated rules testing. The role partners with underwriting leadership to improve decision quality, execution, and operational scalability.

Leads analytics for the Partnerships business, supporting agent acquisition, growth, retention, product optimization, financial risk, commission debt, funnel performance, and onboarding strategy. Builds diagnostic models, dashboards, tracking frameworks, and self-service analytics infrastructure while integrating generative AI tools. Partners with executives, data engineers, and analytics teams, presents insights to senior leadership, and mentors junior analysts.

Audits life and health insurance underwriting cases for risk decision accuracy, evidence quality, documentation, carrier guideline compliance, and SLA adherence. Tracks quality metrics, identifies error trends, supports underwriter coaching and training needs, escalates systemic issues, and contributes to SOP improvements and automation initiatives.

Lead and scale Ethos's Final Expense sales organization: set strategy and KPIs, recruit and train licensed agents and managers, build playbooks and coaching programs, partner with Product, Marketing, and Finance on tests, staffing, and compensation, and drive a data-driven, high-performance culture to meet revenue and productivity goals.

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.