Security Benefit Business Services / Everly Life

Role Description We are building Security Benefit’s first true in-house Experience Service Center: a digital-first, AI-assisted operation that supports our customers in the moments that matter most. Routine inquiries are handled by self-service. The complex ones come into our Operations specialists, who open to a screen that has already classified the question, assembled the customer context, and drafted a recommended response. As the Senior Software Engineer for the Experience Center, you will be the technical lead for the full internal build: - Operations portal - Case workflows - Agent assist surfaces - Integrations that bring customer context, AI-drafted responses, and back office data to specialists at the moment of contact You will be hands on first, writing code daily, especially in the early stages, and you will set technical direction, own architecture, mentor the engineers on the team, and raise the bar for how internal-facing software gets built at Security Benefit. This role is fully remote. The Senior Software Engineer reports to the Head of AI and Innovation. - Lead the Experience Center build end to end, from problem framing and architecture through production deployment and operations. - Drive outcome-based delivery for the Experience Center: partner with product to define the customer and business outcomes that matter, validate impact after launch, and prioritize work by the outcome it enables, not the features it ships. - Set technical direction and patterns for the Experience Center stack, in close coordination with the Staff Software Engineer leading the customer-facing Digital Experience track. - Personally write, review, and ship production code daily, especially during the foundational phase of the build. - Architect integrations with our internal generative AI platform, Salesforce, our core policy administration systems, and our telephony and CTI layer. - Establish and enforce engineering standards for the Experience Center: code review, testing, CI/CD, security, performance, accessibility. - Mentor and coach Software Engineers on the Experience Center team, and raise the team’s collective technical capability. - Champion AI-assisted coding tools (Cursor, Claude Code, Codex) and define the patterns that make them work in production. - Partner with UX, AI Engineering, automation, the Data Platform team, and the Service Excellence and Experience product team. - Lead incident response and post-incident review for the systems you own. - Maintain solution design documents, architecture decision records, runbooks, and onboarding material that scale the team’s knowledge. Qualifications - 6+ years of professional software engineering experience, including time spent as a tech lead or senior IC on an operations-critical or customer-impacting product. - Demonstrated experience leading the design and delivery of a non-trivial system end to end on AWS, including serverless components. - Strong working experience with Snowflake or a comparable cloud data warehouse. - Daily, fluent use of AI-assisted coding tools (Cursor, Claude Code, GitHub Copilot, or equivalent), with a clear point of view on how a team should adopt them. - Experience building or substantially contributing to internal-facing software for contact centers, operations teams, or other always-on workflows is strongly preferred. - A track record of mentoring and growing other engineers, and of raising team-wide engineering quality. - Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or equivalent practical experience. Benefits - Competitive salary and annual incentive bonuses to reward your contributions. - 33 days of paid time off (including PTO, holidays, Volunteer Day, and days of significance). - Paid parental leave after 90 days of service. - Comprehensive medical, dental & vision insurance. - 401(k) with company match, plus Profit Sharing & Savings Plan. - Short- and Long-Term Disability Insurance to give you peace of mind. - Flexible Spending Accounts for medical and dependent care. - Life Insurance to protect your loved ones. - Educational assistance to support your career development. - Associate assistance programs for your personal and professional well-being. Ready to Make an Impact? Apply today by visiting our career page to submit your resume. We’re excited to meet you!

Role Description We are building Security Benefit’s first true customer-facing digital experience: a unified self-service platform where our customers and the financial professionals who advise them can transact with us digitally, instantly, and securely. As the Staff Software Engineer for Digital Experience, you will be the technology lead responsible for enabling this platform end to end. This includes: - Authentication - The API gateway - The unified data layer - Fraud and identity - The customer-facing applications built on top You will be the senior-most individual contributor on the build, the technical anchor for our Digital Experience Center of Excellence, and the partner to our Enterprise Solution Architects on the architecture decisions that will shape the platform for years. You will remain hands-on, writing code, leading the hardest design work, and personally owning the most critical and complex systems. This is a Staff role with the influence of one and the build velocity of an early-stage team. There is a clear, public timeline. The work is visible at the highest levels of the company. This role is fully remote. The Staff Software Engineer reports to the Head of AI and Innovation. - Enable end-to-end customer-facing Digital Experience platform - Shape an outcome-based delivery model for the Digital Experience Center of Excellence - Set technical direction, patterns, and engineering standards for the Digital Experience Center of Excellence - Lead the hardest design work, and personally own the most critical and complex systems - Stay hands-on as an individual contributor - Partner with our Enterprise Solution Architects on enterprise-level architecture decisions - Architect integrations with core policy administration systems - Drive adoption of AI-assisted coding tools at the team and Center of Excellence level - Mentor Software Engineers across both the Digital Experience and the Experience Center pillars - Establish performance, reliability, security, and accessibility targets for the platform - Identify, prioritize, and act on technical debt, platform reuse, and developer productivity work - Communicate technical decisions, tradeoffs, and risk clearly to stakeholders Qualifications - 10+ years of professional software engineering experience - Demonstrated experience owning the architecture of a non-trivial customer-facing system end to end on AWS - Strong, current working experience with Snowflake or a comparable cloud data warehouse - Daily, fluent use of AI-assisted coding tools - Substantial experience building and operating customer-facing digital products in a regulated industry - A track record of setting standards and architecture for a multi-engineer team - Comfort operating cross-functionally with enterprise architecture, security, compliance, product, and design partners - Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or equivalent practical experience Requirements - Substantial time as a Staff or Principal individual contributor on a customer-facing product or platform - Experience with serverless technologies (Lambda, API Gateway, Step Functions, CloudFront, S3, DynamoDB or RDS) - Experience with data modeling, performance tuning, and integration with application services - Track record of helping a team adopt AI-assisted coding tools safely and productively Benefits - Competitive salary and annual incentive bonuses - 33 days of paid time off (including PTO, holidays, Volunteer Day, and days of significance) - Paid parental leave after 90 days of service - Comprehensive medical, dental & vision insurance - 401(k) with company match, plus Profit Sharing & Savings Plan - Short- and Long-Term Disability Insurance - Flexible Spending Accounts for medical and dependent care - Life Insurance to protect your loved ones - Educational assistance to support your career development - Associate assistance programs for personal and professional well-being Company Description Security Benefit is a leader in the U.S. retirement market with more than $60 billion in assets under management. We offer opportunities to thrive, innovate, and make an impact. - Named to Ward’s 50 list of top-performing life-health insurance companies - Recognized on the list of Ingram’s Top 100 Private Companies in the Kansas City area in 2024

Role Description We are building a brand new in-house Experience Service Center: a digital-first, AI-assisted operation that supports our customers in the moments that matter most. Routine inquiries are handled by self-service. The complex ones come into our Operations specialists, who open to a screen that has already classified the question, assembled the customer context, and drafted a recommended response. As a Software Engineer on this team, you will help build that screen, and the workflows, integrations, and back office tooling behind it. You will work on a modern AWS serverless stack with a Snowflake-backed data layer, integrate with our internal generative AI platform and our core policy administration systems, and ship code that operations specialists rely on every minute of the workday. The Experience Service Center is one of the most visible builds at Security Benefit this year, and you will be in on the ground floor. This role is fully remote. The Software Engineer reports to the Head of AI and Innovation. - Work up and down the full stack to ship features end to end, from the front end specialists see, through the APIs and services behind it, to the data and integration layers underneath. - Build the internal Experience Center portal that our specialists use, including case workflows, agent assist, supervisor views, and admin tooling. - Build and maintain the integrations that bring customer context, AI-drafted responses, and back office data to specialists at the moment of contact. - Develop the API and service layer that classifies inbound inquiries, assembles customer context, and routes work to the right specialist with a prepared brief. - Build data-backed views and reporting against Snowflake to give supervisors and operations leadership visibility into volume, queue health, and agent productivity. - Use AI-assisted coding tools (Cursor, Claude Code, GitHub Copilot) as a standard part of your day, in a team that has invested in those tools and built a real point of view on how to use them well. - Experiment with new AI tools, models, and techniques as they emerge, and bring back the patterns that work for the team. - Write, test, and deploy services on AWS using serverless components (Lambda, Step Functions, API Gateway, S3, DynamoDB) and modern CI/CD. - Partner with UX designers and product managers to turn workflow research and operations interviews into shippable features. - Monitor, troubleshoot, and continually improve the systems you ship. Qualifications - 2 to 4 years of experience as a software engineer building web applications, APIs, or internal business software. - Comfort working up and down the full stack: front end, back end, data, and integration. - Hands-on experience shipping production applications on AWS using serverless components. - Working experience with Snowflake or a comparable cloud data warehouse. - Comfort with REST and event-driven APIs, including authentication, error handling, and retry semantics. - Daily use of AI-assisted coding tools (Cursor, Claude Code, GitHub Copilot, or equivalent) as part of how you build, plus the curiosity to keep trying new ones. - A builder’s mindset: hard-working, high ownership, and energized by a fast-paced, foundational build. - Experience working in an Agile delivery model. - Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or equivalent practical experience. Benefits - Competitive salary and annual incentive bonuses to reward your contributions. - 33 days of paid time off (including PTO, holidays, Volunteer Day, and days of significance). - Paid parental leave after 90 days of service. - Comprehensive medical, dental & vision insurance. - 401(k) with company match, plus Profit Sharing & Savings Plan. - Short- and Long-Term Disability Insurance to give you peace of mind. - Flexible Spending Accounts for medical and dependent care. - Life Insurance to protect your loved ones. - Educational assistance to support your career development. - Associate assistance programs for your personal and professional well-being. Ready to Make an Impact? Apply today by visiting our career page to submit your resume. We’re excited to meet you!

About Us: At Everly, our vision is to change the paradigm of insurance. We know life insurance can be confusing and complex. We know that most people purchase life insurance at a milestone moment and file it away for the future. We want to change how people think about, buy, and use life insurance by being a partner in life’s journey. We are focused on making things that matter, making meaningful connections, and making things work WAY better. Our goal is to provide radically transparent, consumer-first insurance solutions. We are looking for people with a continuous improvement mindset. Those who think the opposite of “This is how we’ve always done it”. We want people on our team who are always asking “How can we do this better?” Our company values are a guide to our behavior and help inform our decisions. We want people who embody those values of breaking down barriers, owning the outcome, embracing the journey, and sparking joy. This is a remote position based in the US with occasional travel. About the role: We are seeking a versatile and detail-oriented Actuarial Lead, Financial & Inforce Management to act as the owner of the valuation function for the company and support the Stat & GAAP actuarial reporting requirements. This role owns the actuarial valuation of reserves including designing the calculation logic for new reserve implementations, audit requirements for existing inforce business, attribution analysis, and reserve reporting requirements. Additionally, this role is a key support function for the financial reporting needs of the company including asset adequacy testing, annual statement, ORSA, FP&A, and risk management. The ideal candidate thrives in a small-company environment where wearing multiple hats is the norm. You are equal parts technical expert, project wrangler, and cross-functional partner. You build strong relationships across marketing, operations, technology, legal, and third-party vendors, and you are willing to roll up your sleeves and dive deep into the details to get the job done. You will be the go-to authority on how reserve calculations work technically and will lead the effort to ensure they are built, tested, documented, reported, and maintained correctly. What You’ll Do: Reserving & Financial Reporting - Own the actuarial valuation for life & annuity reserves process and calculations for Stat and GAAP valuations including VM-20, VM-22, CRVM, SOP 03-1, FAS-133, DAC, Dividend Liability, and Riders. - Support actuarial & financial reporting for PBR VM-31, Annual Statement, Asset Adequacy Testing, GAAP disclosures, new business value, Income Statement, Balance Sheet, Gains by Source, and ad-hoc requests. Experience Studies, Assumption Setting, Risk Management - Strengthen experience studies & annual assumption review recommendations to comply with VM-31 statutory requirements. - Lead testing, monitoring, & sensitivity analysis of financial impacts from experience studies on inforce & industry business. - Create & Own ongoing measurement tools of economic market impacts, regulatory change, and other risk drivers to the inforce business. Documentation & Process Management - Create and maintain a best-in-class automated process for all actuarial reserving valuation & reporting requirements, ensuring processes are auditable, navigable, and efficient in providing stakeholders with real time actionable information. - Document new & existing processes and provide clear, auditable proof for reserve & reporting compliance with regulations. Cross-Functional Collaboration & Strategic Support - Support pricing & forecasting activities by acting as a subject matter expert on reserve & product functionality for modeling & analysis. - Contribute to strategic planning efforts by providing actuarial and product perspective on initiatives, market developments, and operational improvement opportunities. Skills and Experience: Required - Bachelor’s degree in actuarial science, mathematics, finance, or a related quantitative field. - Fellow of the Society of Actuaries (FSA) or career ASA. - 10+ years of experience in the life insurance industry, with hands-on exposure to valuation, modeling, financial reporting, assumption setting, and experience studies. - Strong working knowledge of life insurance and annuity reserve and capital regulations with a focus on modeled reserves, individual life and annuity product mechanics, features and benefits. - Demonstrated ability to manage multiple workstreams, track deadlines, and coordinate across teams in a collaborative manner. - Excellent written and verbal communication skills, with the ability to translate technical actuarial concepts for non-technical audiences. - High attention to detail and a strong sense of ownership over work quality. Preferred - Experience working in a small or mid-size insurance company environment where broad scope and flexibility are essential. - Experience with variable product design & risk management. Key Competencies: - Ownership Mentality – Takes full accountability for outcomes in their domain; proactively identifies and fills gaps rather than waiting for direction. - Cross-Functional Partnership – Builds strong, trust-based relationships with colleagues across departments and with external partners; communicates with clarity and credibility. - Detail Orientation – Consistently delivers accurate, well-documented work even under time pressure. - Problem Solving – Willing to dig into unfamiliar territory to diagnose issues, find root causes, and drive resolution. - Organizational Discipline – Brings structure and follow-through to recurring processes and complex multi-stakeholder workstreams. At Everly, we celebrate our diverse backgrounds and support our differences, and we are dedicated to equal employment opportunities regardless of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. We’re also committed to adding new perspectives to our team and invite applications from people of all walks of life. We understand that experience comes in many forms, so if you believe you’re close to what we’re looking for, please consider applying. Everly offers a competitive salary and as a full-time employee you are eligible for our robust benefits package including: - Employees are eligible for an annual incentive bonus designed to reward for performance. - The salary range for this job in most geographic locations in the US is $145,000 - $175,000 - Candidates hired to work in other locations will be subject to the pay range associated with that location and will be reflected in the candidate’s offer letter. - Flexible paid time off for PTO, plus paid holidays, days of Significance, and a Volunteer Day - Paid parental leave eligible after 3 months of service - Medical, Dental & Vision Insurance - 401k with company match - Profit Sharing & Savings Plan - Short-term and long-term disability insurance - Flexible spending account - Life insurance - Educational Assistance - Associate Assistance Programs and more! Visit the career section to apply and submit your resume. EOE

About Us: At Everly, our vision is to change the paradigm of insurance. We know life insurance can be confusing and complex. We know that most people purchase life insurance at a milestone moment and file it away for the future. We want to change how people think about, buy, and use life insurance by being a partner in life’s journey. We are focused on making things that matter, making meaningful connections, and making things work WAY better. Our goal is to provide radically transparent, consumer-first insurance solutions. We are looking for people with a continuous improvement mindset. Those who think the opposite of “This is how we’ve always done it”. We want people on our team who are always asking “How can we do this better?” Our company values are a guide to our behavior and help inform our decisions. We want people who embody those values of breaking down barriers, owning the outcome, embracing the journey, and sparking joy. This is a remote position based in the US with occasional travel. About the role: We are seeking a versatile and detail-oriented Product Implementation Lead to serve as the central technical resource bridging our product development, actuarial, and operations functions. This role owns the actuarial and technical dimensions of the product lifecycle—from design specifications through implementation, testing, filing, and ongoing operational support—for our life insurance and annuity product portfolio. The ideal candidate thrives in a small-company environment where wearing multiple hats is the norm. You are equal parts technical expert, project wrangler, and cross-functional partner. You build strong relationships across marketing, operations, technology, and third-party vendors, and you are willing to roll up your sleeves and dive deep into the details to get the job done. While you will not be designing products from scratch, you will be the go-to authority on how products work technically and will lead the effort to ensure they are built, tested, documented, and maintained correctly. What You’ll Do: Product Technical Support & Subject Matter Expertise - Own the actuarial/technical specifications for product features across life insurance and annuity products, translating product design intent into detailed, implementable requirements. - Serve as the internal SME on product technical design, features, formulas, rates, and mechanics throughout the product development cycle. - Lead rate-setting activities for life and annuity products, including developing and maintaining rate scales, factors, and supporting documentation. - Support product filings from an actuarial perspective, ensuring technical accuracy and completeness of filed materials. Testing, Validation & Operational Support - Lead testing of technical product features on administration and illustration systems, developing and executing test plans to validate that implemented values match actuarial intent. - Drive validation and remediation of defects in actuarial and product values across systems, partnering with technology and operations teams to resolve issues through to completion. - Provide ongoing operational support for actuarial and product values in production, including troubleshooting, root-cause analysis, and corrective action. - Step in to support operational and administrative issues on an ad hoc basis when immediate resolution is needed. Documentation & Process Management - Maintain and enforce internal documentation standards for all actuarial and product materials, ensuring specifications, rate bases, testing artifacts, and reference documents are current, organized, and accessible. - Apply project management discipline to recurring actuarial activities such as dividend determination, rate updates, and other BAU processes—tracking timelines, coordinating stakeholders, and ensuring deliverables are met. Cross-Functional Collaboration & Strategic Support - Serve as a key liaison between actuarial, marketing, operations, the PMO, technology, and third-party partners, ensuring alignment and clear communication across workstreams. - Support PMO activities as needed, including project tracking, status reporting, and coordination of cross-functional deliverables. - Contribute to strategic planning efforts by providing actuarial and product perspective on initiatives, market developments, and operational improvement opportunities. Skills and Experience: Required - Bachelor’s degree in actuarial science, mathematics, finance, or a related quantitative field. - 10–15 years of experience in the life insurance industry, with hands-on exposure to product development, implementation, or administration. - Strong working knowledge of life insurance and/or annuity product mechanics, features, and regulatory frameworks. - Experience with insurance administration and/or illustration systems and the testing lifecycle. - Demonstrated ability to manage multiple workstreams, track deadlines, and coordinate across teams without formal project management authority. - Excellent written and verbal communication skills, with the ability to translate technical actuarial concepts for non-technical audiences. - High attention to detail and a strong sense of ownership over work quality. Preferred - Experience with state product filing processes and regulatory requirements. - Familiarity with project management tools and methodologies. - Experience working in a small or mid-size insurance company environment where broad scope and flexibility are essential. - Exposure to financial reporting, pricing, or modeling functions (not required for the role but helpful for cross-functional collaboration). At Everly, we celebrate our diverse backgrounds and support our differences, and we are dedicated to equal employment opportunities regardless of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. We’re also committed to adding new perspectives to our team and invite applications from people of all walks of life. We understand that experience comes in many forms, so if you believe you’re close to what we’re looking for, please consider applying. Everly offers a competitive salary and as a full-time employee you are eligible for our robust benefits package including: - Employees are eligible for an annual incentive bonus designed to reward for performance. - The salary range for this job in most geographic locations in the US is $151,000 - $173,000 - Candidates hired to work in other locations will be subject to the pay range associated with that location and will be reflected in the candidate’s offer letter. - Flexible paid time off for PTO, plus paid holidays, days of Significance, and a Volunteer Day - Paid parental leave eligible after 3 months of service - Medical, Dental & Vision Insurance - 401k with company match - Profit Sharing & Savings Plan - Short-term and long-term disability insurance - Flexible spending account - Life insurance - Educational Assistance - Associate Assistance Programs and more! Visit the career section to apply and submit your resume. EOE

About Us: At Everly, our vision is to change the paradigm of insurance. We know life insurance can be confusing and complex. We know that most people purchase life insurance at a milestone moment and file it away for the future. We want to change how people think about, buy, and use life insurance by being a partner in life’s journey. We are focused on making things that matter, making meaningful connections, and making things work WAY better. Our goal is to provide radically transparent, consumer-first insurance solutions. We are looking for people with a continuous improvement mindset. Those who think the opposite of “This is how we’ve always done it”. We want people on our team who are always asking “How can we do this better?” Our company values are a guide to our behavior and help inform our decisions. We want people who embody those values of breaking down barriers, owning the outcome, embracing the journey, and sparking joy. This is a remote position based in the US with occasional travel. About the role: As a Modeling Lead, you will work closely with the Head of Modeling to design, build, and operate Everly’s actuarial modeling ecosystem and the supporting actuarial/finance data foundation. This is a highly hands‑on role spanning actuarial models, enterprise data design, and end‑to‑end data pipelines that power pricing, reserving, reporting, and analytics. You will also help leverage AI‑enabled tooling to accelerate the development and evolution of Everly’s in‑house actuarial modeling platform—improving development velocity, validation workflows, documentation, and insight generation while maintaining strong actuarial controls and governance. This position is ideal for a senior actuarial modeler who is comfortable operating at the intersection of actuarial science, software engineering, and modern data platforms. What You’ll Do: 1. Actuarial Modeling & Execution - Build, enhance, and maintain actuarial models for pricing, reserving, projections, and financial analytics. - Translate modeling standards and approaches set by the Head of Modeling into robust, production‑ready implementations. - Implement, test, and maintain actuarial assumptions, experience studies, and stress/scenario analyses. - Support recurring and ad‑hoc model runs across development, validation, and production environments. - Refactor and optimize models for performance, transparency, and scalability. 2. Enterprise Data Model & Modern Data Pipeline Support - Help design and maintain the enterprise actuarial and finance data model, ensuring consistency across pricing, valuation, financial reporting, and analytics. - Partner with Data Engineering and Technology teams to support end‑to‑end data pipelines (ingestion → transformation → storage → consumption) that make actuarial outputs reliable and reusable. - Support data validation, reconciliation, and controls between source data, model inputs/outputs, and downstream reporting. - Contribute to a modern data lake / lakehouse approach where appropriate, and support use cases across platforms such as Snowflake and open table formats. 3. Modeling Infrastructure, Controls & Governance - Contribute to shared modeling frameworks, libraries, and reusable components. - Support model versioning, documentation, testing, and change management processes. - Assist with internal model reviews, validation efforts, audit requests, and regulatory support. - Identify model and data risks, limitations, and dependencies, and communicate them clearly. 4. AI‑Enabled Modeling & Platform Evolution - Partner with the Head of Modeling to apply AI and automation to improve speed and quality of model development and enhancement. - Use AI‑enabled tooling to support activities such as development acceleration, test generation, documentation drafting, model/result validation workflows, and scenario exploration—while keeping human actuarial judgment in control. - Evaluate new approaches pragmatically, prioritizing auditability, reproducibility, and measurable impact. 5. Cross‑Functional Partnership - Work closely with Finance, Product, Data, Technology, and Operations teams to ensure actuarial models and data outputs are actionable and consumable. - Translate actuarial and financial results into clear insights for non‑actuarial stakeholders. - Support strategic initiatives including new product development, reinsurance analysis, and platform evolution. Skills and Experience: - Bachelor’s degree in Actuarial Science, Mathematics, Finance, Statistics, or a related field. - Progress toward, or attainment of, ASA or FSA (or equivalent designation). - 6–10+ years of experience in actuarial modeling within life insurance and/or annuities. - Strong hands‑on experience in pricing and/or reserving models. - Strong quantitative development skills with proficiency in one or more of: Python, R, C++, Rust, Java. - Experience working with large datasets and structured analytical/modeling workflows. - Strong analytical skills with high attention to detail, controls, and data integrity. What Sets You Up for Success at Everly: - You enjoy building and improving systems, not just maintaining them. - You thrive in early‑stage environments where structure is evolving. - You value clean interfaces between models, data, and reporting. - You’re curious about how AI can augment actuarial work, and grounded enough to apply it thoughtfully in a regulated environment. Compensation and Benefits: At Everly, we celebrate our diverse backgrounds and support our differences, and we are dedicated to equal employment opportunities regardless of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. We’re also committed to adding new perspectives to our team and invite applications from people of all walks of life. We understand that experience comes in many forms, so if you believe you’re close to what we’re looking for, please consider applying. Everly offers a competitive salary and as a full-time employee you are eligible for our robust benefits package including: - Employees are eligible for an annual incentive bonus designed to reward for performance. - The salary range for this job in most geographic locations in the US is $161,000 to $176,000 - Candidates hired to work in other locations will be subject to the pay range associated with that location and will be reflected in the candidate’s offer letter. - Flexible paid time off for PTO, plus paid holidays, days of Significance, and a Volunteer Day - Paid parental leave eligible after 3 months of service - Medical, Dental & Vision Insurance - 401k with company match - Profit Sharing & Savings Plan - Short-term and long-term disability insurance - Flexible spending account - Life insurance - Educational Assistance - Associate Assistance Programs and more! Visit the career section to apply and submit your resume. EOE

About Us: At Everly, our vision is to change the paradigm of insurance. We know life insurance can be confusing and complex. We know that most people purchase life insurance at a milestone moment and file it away for the future. We want to change how people think about, buy, and use life insurance by being a partner in life’s journey. We are focused on making things that matter, making meaningful connections, and making things work WAY better. Our goal is to provide radically transparent, consumer-first insurance solutions. We are looking for people with a continuous improvement mindset. Those who think the opposite of “This is how we’ve always done it”. We want people on our team who are always asking “How can we do this better?” Our company values are a guide to our behavior and help inform our decisions. We want people who embody those values of breaking down barriers, owning the outcome, embracing the journey, and sparking joy. This is a remote position based in the US with occasional travel. About the role: We're looking for a Senior Analytics Engineer, Data Platform to serve as the product owner of our analytics platform and hands-on technical lead for data platform engineering and governance. This is a senior individual contributor role with outsized impact - you'll operate as the technical authority for our data platform, setting direction, owning the roadmap, and rolling up your sleeves to build. In this role, you'll own the full data lifecycle from ingestion and transformation through to the semantic layer and executive dashboards that our leadership, operators, and actuaries depend on daily. Beyond building, you'll govern, ensuring our platform is compliant, well-documented, and resilient as the business scales. You'll work closely with the Head of Data, Head of Modeling, cross-stream data stewards, actuarial team, and third-party infrastructure partners. You'll also serve as a technical mentor to a junior Analytics Engineer and Data Scientist. The ideal candidate has deep hands-on engineering skills, a product mindset, and the communication ability to translate complex platform trade-offs to senior leadership. If you thrive at the intersection of data engineering, governance, and business intelligence — and want to shape the data foundation of a company reimagining life insurance — this role is for you. What You’ll Do: Platform Product Ownership - Own the analytics platform roadmap — prioritizing improvements, architecture decisions, and tooling enhancements in partnership with IT and the Head of Data, Analytics and AI Solutions - Define and enforce platform SLAs, data quality standards, and operational runbooks - Serve as technical mentor to the Analytics Engineer/Data Scientist Data Pipeline Ownership - Own the end-to-end data pipeline from ingestion through transformation and delivery into BI tools and data products across our AWS stack (Step Functions, Glue, Snowflake, dbt, Sigma) - Partner with third-party vendors to maintain DataOps infrastructure using infrastructure-as-code practices - Monitor pipeline health and drive timely resolution of data issues with providers and consumers Enterprise Data Modeling & Governance - Maintain and evolve an enterprise data model, data dictionary, and business rules agnostic across sources, insurance products, and distributors - Enforce Snowflake security best practices — masking policies, RBAC, and least-privilege access — aligned to GLBA NPI/NPI-H classification requirements - Champion data governance, lineage, and quality standards; support NAIC MDL-668 audit trails, SOC 2 Type II evidence collection, and adherence to CCPA/CPRA, HIPAA, and state breach notification requirements Systems of Record & AI Data Infrastructure - Design and maintain systems of record for core insurance domains (policy, claims, billing, distribution, customer) with proper versioning, effective dating, and audit history - Own database design and management for AI tools and models, including vector databases, feature stores, and model input/output pipelines Semantic Layer & BI - Design and maintain a semantic layer enabling natural language insight discovery - Own executive and operational dashboards from board-level reporting down to day-to-day operations - Set BI development standards for the Analytics Engineer/Data Scientist to execute against Actuarial & Advanced Analytics Support - Maintain and enhance actuarial data pipelines including distributed compute and Glue Jobs for data curation - Advise on data architecture decisions supporting future AI/ML and modeling use cases Skills and Experience: · Bachelor’s degree in computer science, Data Engineering, Statistics, Mathematics, or a related field — or equivalent work experience · 8+ years of experience in analytics engineering, data engineering, or a closely related role, with demonstrated progression in scope and ownership · Hands-on experience with dbt (data build tool) for transformation, data modeling, and testing at scale · Strong proficiency with Snowflake, including dynamic data masking, RBAC, performance optimization, and cost governance · Hands-on experience with AWS data services including Glue, Step Functions, S3, and Lambda · Strong SQL proficiency; Python required at this level (data pipeline development, scripting, automation) · Demonstrated experience owning a BI delivery roadmap and building dashboards for executive and operational audiences · Demonstrated experience building and maintaining enterprise data models and semantic layers in a multi-product, multi-source environment · Strong understanding of data governance, data quality frameworks, and privacy best practices · Hands-on experience with infrastructure-as-code tools (Terraform, CloudFormation, or similar) · Working knowledge of data privacy and security compliance frameworks relevant to US life and annuity carriers, including GLBA, NAIC MDL-668. · Experience owning or contributing to a technical product or platform roadmap · Demonstrated ability to manage competing stakeholder priorities and communicate platform trade-offs to senior leadership Preferred - Experience in the life insurance or annuities industry strongly preferred; broader financial services considered - Experience with life - Exposure to actuarial data workflows or direct experience supporting actuarial teams - Experience with data observability tools (Monte Carlo, Great Expectations, dbt tests, etc.) - Experience with Git-based version control and CI/CD workflows for data pipelines - Experience working with distributed compute frameworks (e.g., Spark via AWS Glue or EMR) - Familiarity with SOC 2 Type II control frameworks and evidence collection practices - Exposure to HIPAA requirements as they relate to underwriting or health-adjacent data - Familiarity with CCPA/CPRA and multi-state data breach notification obligations - Experience transitioning work from external vendors or consultancies to in-house - Exposure to AI/ML pipeline patterns or feature engineering in support of modeling teams Competencies · Platform ownership mindset — you think in systems, not tickets, and take accountability for the health of the entire data platform · Strong analytical mindset with high attention to detail and a zero-tolerance attitude toward data quality issues · Excellent written and verbal communication skills — able to translate complex platform trade-offs and technical concepts for senior non-technical stakeholders · Natural collaborator with experience working across engineering, business, actuarial, and compliance teams · Self-directed with the ability to manage competing priorities and drive clarity in ambiguous, fast-paced environments · A continuous improvement mindset — you're never satisfied with "good enough" and actively look for ways to raise the bar · Comfortable acting as a technical mentor and setting standards for more junior team members At Everly, we celebrate our diverse backgrounds and support our differences, and we are dedicated to equal employment opportunities regardless of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. We’re also committed to adding new perspectives to our team and invite applications from people of all walks of life. We understand that experience comes in many forms, so if you believe you’re close to what we’re looking for, please consider applying. Everly offers a competitive salary and as a full-time employee you are eligible for our robust benefits package including: - Employees are eligible for an annual incentive bonus designed to reward for performance. - The salary range for this job in most geographic locations in the US is $130,000 to $152,000 - Candidates hired to work in other locations will be subject to the pay range associated with that location and will be reflected in the candidate’s offer letter. - Flexible paid time off for PTO, plus paid holidays, days of Significance, and a Volunteer Day - Paid parental leave eligible after 3 months of service - Medical, Dental & Vision Insurance - 401k with company match - Profit Sharing & Savings Plan - Short-term and long-term disability insurance - Flexible spending account - Life insurance - Educational Assistance - Associate Assistance Programs and more! Visit the career section to apply and submit your resume. EOE