Jobs at Ethos

Owns the infrastructure and production lifecycle for product and marketing machine learning models. Responsibilities include real-time model deployment, feature pipelines and stores, monitoring and alerting, CI/CD, retraining infrastructure, marketing model operationalization, data pipelines, ad-platform feedback loops, and dependency management. The role bridges data science and engineering while mentoring teammates and making pragmatic architecture decisions.

Own the product modeling roadmap and end-to-end lifecycle of production machine learning models, including recommenders, routing, and agent assignment. Engineer features, design experiments, deploy iterative improvements, and define real-time model integration with engineering and product teams. Apply Bayesian methods, causal inference, and marketing measurement while translating uncertainty into business recommendations. Mentor teammates and raise data science standards through code review and documentation.

Lead sales agent onboarding, ramp, skills training, coaching, and remedial development across direct-to-consumer sales teams. Build training curricula, refine scripts, analyze AI-generated call insights, run script experiments, enable managers, and translate product and sales-floor feedback into actionable training. The role requires hands-on facilitation, sales acumen, autonomous program building, and continuous measurement and improvement of agent performance.

Own Ethos’s offline marketing strategy, budget, measurement, and growth across TV, streaming, podcasts, radio, and direct mail. Drive scalable customer acquisition through channel planning, media buying, vendor negotiation, performance optimization, testing, and cross-functional collaboration. Balance direct-response efficiency with long-term brand impact using MMM, geo-testing, lift studies, and halo analysis. Provide strategic recommendations to senior leadership while managing partners, forecasting investments, and identifying new channels and formats.

Develops direct-response copy for direct mail and paid social advertising, including headlines, offers, body copy, and calls to action. Creates and tests messaging hypotheses, analyzes performance metrics, collaborates with design and marketing teams, and ensures persuasive copy complies with legal and regulatory requirements. Uses AI tools to generate and refine concepts while tailoring messaging to diverse life insurance audiences.

Leads organization-wide SRE strategy and builds reliable, scalable AWS and Kubernetes infrastructure. Establishes SLOs, observability, incident response, disaster recovery, and cost optimization practices. Develops AI gateways with governance and security controls, internal developer platforms, CI/CD tooling, and automation to reduce toil. Partners across engineering, mentors SREs, influences technical direction, and leads complex infrastructure initiatives.

Design, build, test, deploy, and support Salesforce applications and integrations. Develop Apex, LWC, Flow solutions, REST APIs, event-driven integrations, and secure data workflows. Ensure bulk processing, governor-limit compliance, automated testing, retries, idempotency, and failure recovery. Manage Git-based CI/CD deployments, troubleshoot production issues, review code, and collaborate with administrators, analysts, data engineers, and product teams.

Lead the development of Ethos’s sales training and enablement system across direct-to-consumer insurance sales. Own sales scripts, AI-powered call insights, experimentation, agent onboarding, remedial training, coaching programs, and manager development. Partner with Sales and Product leadership to improve customer engagement, conversion, agent performance, and sales strategy. Build measurable systems for script adherence, call analysis, ramp performance, and organization-wide manager coaching.

Leads the Policy Administration team, overseeing daily operations, staffing, escalations, customer support procedures, and policy servicing. Drives process improvement, workflow innovation, issue resolution, and cross-functional collaboration with product, engineering, compliance, sales, underwriting, and carrier partners. Monitors metrics, prepares reports, uses data to guide decisions, manages Jira tickets, and recruits and develops team members. Requires life insurance knowledge, operational leadership, process improvement experience, and Salesforce or comparable support software proficiency.

Leads cross-functional technical programs from planning through launch, including carrier integrations, partner launches, internal tooling, and platform improvements. Partners with Engineering, Product, Data, Operations, and external stakeholders to establish milestones, manage risks and dependencies, communicate program health, make technical tradeoffs, and improve execution through retrospectives and success metrics.

Owns Ethos’s insurance marketing compliance review function, including AI review-tool administration, automation strategy, human oversight, regulatory standards, disclosures, audit trails, and review operations. Personally handles complex reviews while improving intake, SLAs, quality, throughput, and reporting. Partners with Marketing, Product, Legal, Engineering, Data, carriers, and regulators; supports filings and exams; and builds the function by hiring and managing a compliance analyst.

Owns strategy, execution, budgeting, measurement, reporting, and optimization for Ethos’s Streaming TV/OTT acquisition program. Partners cross-functionally with Creative, Analytics, MarTech, Product, and Finance; manages agencies and media buying; improves attribution, targeting, bidding, and incrementality testing; evaluates vendors and tools; presents recommendations to executives; and identifies scalable growth opportunities across offline and emerging channels.

Lead the Consumer Product team’s strategy, roadmap, and execution for Ethos’s digital life insurance experience. Manage, mentor, and grow product managers while driving consumer acquisition, onboarding, conversion, experimentation, and satisfaction. Partner with Engineering, Design, Data Science, Marketing, and Actuarial teams to deliver accessible, simple products and identify new insurance opportunities. Communicate strategy and results to executives and drive sustainable growth through data-informed product decisions.

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.

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.

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 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.

Create clear, trustworthy content and messaging across Ethos’s consumer life insurance purchase journey. Responsibilities include writing product copy, shaping narratives, developing content standards, partnering with Product, Design, Research, and Analytics, using AI tools, conducting customer research, and testing content through analytics, A/B testing, and usability research. The role is hands-on and contributes to content design practices, regulatory clarity, and measurable business outcomes.

Lead mortality analytics and actuarial modeling for product development, improve product competitiveness, and ensure financial integrity at Ethos.

Lead strategy and operations for Ethos consumer business, driving growth initiatives end-to-end across product, marketing, sales, and channels. Build business cases, model unit economics, own OKR planning, run cross-functional projects, and champion AI adoption to improve decisions and business outcomes.