Bestow

Business Analyst

• Monitor real-time adherence to schedules and service level performance across all queues.
• Make immediate adjustments to staffing deployment based on unexpected volume fluctuations or absenteeism.
• Coordinate with operations managers to implement intraday changes while maintaining service level agreements.
• Develop and maintain optimal scheduling patterns that balance employee preferences with business needs.
• Develop and maintain accurate forecasts for inbound call volumes, application processing, and technical assistance requests across multiple insurance carriers.
• Analyze historical data patterns including disposition volumes, policy inforce trends, and seasonal variations to predict future staffing needs.
• Create both short-term and long-term capacity models that account for business growth, new product launches, and carrier-specific requirements.
• Generate daily, weekly, and monthly reports on key performance indicators including service levels, average handle time, occupancy rates, and forecast accuracy.
• Analyze variance between forecasted and actual volumes to continuously improve prediction models.
• Present findings and recommendations to leadership regarding staffing differentials and capacity optimization opportunities.
• Track and report on contractor versus core staff utilization and performance metrics.
• Partner with insurance carrier clients to understand their specific requirements and ensure forecast alignment with their business projections.
• Work closely with operations leadership to implement staffing strategies that support both current needs and scaling initiatives.
• Collaborate with staffing agencies, HR, and recruiting teams to ensure hiring pipelines align with projected growth.
• Participate in contract negotiations by providing data-driven insights on capacity reservation models and commitment bands.
• Identify opportunities to implement sub-linear support scaling through efficiency improvements and technology adoption.
• Develop strategies for front-loaded support models that reduce long-term staffing requirements.
• Evaluate and recommend workforce management tools and technologies to enhance forecasting accuracy and scheduling efficiency.
• Create and maintain documentation for all workforce management processes and procedures.

Workforce Management Analyst

Solutions Engineer

• As an Associate Technical Solutions Engineer II, you will serve as the front line for the Support Engineering team, working closely with our product engineers, product managers, customer experience, and partner experience teams to diagnose and resolve issues as they arise with our digital life insurance products.
• You will serve as the first line of support for issues that are too complex for general CX and require engineering involvement.
• You’ll review tickets for accuracy, solve the less complex issues, and escalate tickets needing Tier 2 and Tier 3 support to our more senior team members.
• You will contribute to a team critical to operational success. One that works both with internal and external collaborators to resolve issues and ensure our digital life insurance partner experiences remain in optimal condition for our partners and their customers.
• Part customer consultant, part technical writer, and part software engineer, this role serves as a key liaison across various parts of the Bestow organization.

Associate Technical Solutions Engineer II

Compliance

• Provide a hands-on view into the design of the Bestow digital experience to advise and work with Product Managers, UX Designers and Engineers to build a seamless and friction-free digital experience to the Bestow customer.
• Ownership of the legislative and regulatory monitoring platform.
• Review state and federal regulatory compliance requirements to include analysis of business impact/operational risk assessment for enacted laws/regulations and recommended company compliance actions to ensure regulatory compliance.
• Advise on and anticipate strategic and tactical regulatory solutions by providing compliance subject matter expertise for project/process/product initiatives.
• Ownership of the learning management system and the compliance training program.
• Advise on annuity product compliance and development. Collaborate with Product, Engineering, and Program Management on product builds.
• Assist with the implementation of appropriate strategic/tactical solutions for compliance business requirements.
• Assist in the enhancement of the compliance program and compliance policies to foster continued regulatory and customer trust of Bestow.
• Assist in audit readiness efforts by preparing, verifying, and maintaining documentation to support compliance with internal controls and external regulatory standards.
• Support ongoing QA and compliance initiatives through scheduled control reviews, control testing activities, and monitoring of remediation activities.

Compliance Advisor III

Analyst

• Provide first and second-level technical support for all Bestow employees through our ticketing system, maintaining SLA commitments
• Deploy and configure Apple and Windows endpoints using jamf and Microsoft Intune
• Support our Dallas office by maintaining network infrastructure, printers, AV, and conference room technologies.
• Manage user accounts, permissions, and access controls in Okta and other cloud platforms
• Assist in the automation of employee lifecycle management, from onboarding through offboarding, ensuring security protocols are followed at every stage
• Provide training and an overview on software and tools for new Bestow team members
• Coordinate equipment shipping to/from new and departing users
• Create and maintain documentation for common technical procedures and FAQs
• Maintain inventory of IT assets in the Dallas office and across the enterprise.

IT Analyst

Backend Engineer

• This is a player / coach role that will have direct reports with 20% of your time spent contributing to the production level code.
• All Eng leaders at Bestow remains hands-on in the code and actively participate in system design and architecture decisions
• Regularly review pull requests, providing thoughtful feedback that elevates code quality
• Partners with engineers on complex technical challenges, offering guidance without micromanaging
• Willing to drive large initiatives
• Orchestrates effective engineering ceremonies that promote collaboration and continuous improvement
• Creates personalized growth plans for each team member, identifying strengths and development areas
• Provides regular, constructive feedback and creates opportunities for engineers to expand their skills
• Balances technical excellence with business objectives
• Demonstrates sound judgment when making technical trade-offs
• Communicates complex technical concepts clearly to both technical and non-technical stakeholders

Engineering Manager – Backend, Go

Data Engineer

• Build robust solutions for transferring data from first and third-party applications to and from our data warehouse
• Making decisions as a team. The things you build will be maintained and improved upon by others; there is a shared responsibility to make defensible design considerations and high collaboration.
• Develop hardened and repeatable (CI/CD) data models and pipelines to enable reporting, modeling and machine learning.
• Improve data availability to our enterprise clients through a mix of traditional push delivery, cloud, and event-driven (eg: API, grpc) data sharing methods.
• Ensure data quality through automated monitoring and alerting, and occasionally serving within an on-call rotation.
• Leverage Google Cloud (GCP) tools (eg: Cloud Run, Cloud Functions, Vertex AI, App Engine, Cloud Storage, IAM, etc.) and services (eg: Astronomer - Apache Airflow) to bring data workloads to production.
• Drive and support MLOps to improve Data Science monitoring and governance
• Enable and support Generative AI (eg: LLM) pipelines, allowing internal teams to quickly prototype. Support the architecture and rollout of GenAI products and features into the marketplace.
• Collaborate with product, engineering, stakeholders and data teams to deliver informed solutions to platform and client needs.

Data Engineer II

• Define and drive the technical roadmap for data infrastructure, establishing architectural patterns and standards that scale across the organization
• Lead the design and implementation of complex, multi-system data architectures that support business-critical operations and enable innovation (data ingestion + export and delivery)
• Evaluate and champion adoption of emerging technologies and best practices in data engineering, MLOps, and GenAI
• Establish data governance frameworks, quality standards, and operational excellence practices across all data workloads
• Drive cross-functional initiatives that require coordination between data, product, engineering, and business teams
• Architect enterprise-scale data solutions for transferring data from first and third-party applications to and from our data warehouse
• Design and oversee the development of robust, scalable APIs (REST, GraphQL, gRPC) that enable data access for internal teams and external partners
• Lead the evolution of event-driven and API-first data architectures that support real-time data sharing and integration
• Leverage Google Cloud (GCP) tools (Cloud Run, Cloud Functions, Vertex AI, App Engine, Cloud Storage, IAM, etc.) and services (Astronomer - Apache Airflow) to architect and bring enterprise data workloads to production
• Design resilient, self-healing data systems with comprehensive monitoring, alerting, and automated remediation - and participating as part of an on-call rotation.
• Lead the evolution of our data platform on Google Cloud (GCP), leveraging advanced services and optimizing for cost, performance, and reliability
• Define patterns for streaming and batch data architectures that serve diverse use cases
• Establish best practices for data contracts, API versioning, CI/CD, documentation, and partner integrations
• Lead MLOps strategy and implementation, establishing patterns for model deployment, monitoring, and governance at scale
• Architect and oversee Generative AI infrastructure, enabling rapid prototyping while ensuring enterprise-grade security, compliance, and cost management
• Partner with Data Science leadership to translate research initiatives into production-ready solutions
• Drive innovation in AI/ML tooling and infrastructure, staying ahead of industry trends
• Mentor and guide Data Engineers at all levels, conducting design reviews and providing technical feedback
• Establish engineering standards, documentation practices, and knowledge-sharing processes
• Participate in hiring and onboarding processes, helping to build a world-class data engineering team
• Foster a culture of engineering excellence, experimentation, and continuous improvement
• Partner with product, engineering, and business leaders to align data strategy with organizational goals
• Communicate complex technical concepts to non-technical stakeholders, building alignment and driving informed decision-making
• Represent data engineering in cross-functional planning and architecture forums
• Build strong relationships with external partners and vendors

Staff Data Engineer

QA Engineer

• Conduct comprehensive quality audits of inbound and outbound call center interactions, ensuring accuracy, regulatory compliance, and adherence to TPA standard operating procedures.
• Review and audit completed service and administrative forms (e.g., policy changes, beneficiary updates) for completeness, accuracy, and proper processing workflow.
• Deliver timely, objective, and constructive feedback and coaching to call center agents and team leads to improve service quality and transaction accuracy.
• Track, analyze, and report on key TPA and QA metrics and trends, identifying root causes of errors and compliance gaps.
• Act as the initial point of contact for internal fraud referrals (SIU). Review and analyze cases flagged for potential fraudulent activity, including claims, policy changes, and applications.
• Collect, organize, and summarize documentation and system history related to suspicious cases.
• Conduct preliminary analysis to determine the validity of the fraud concern. Prepare and present well-documented case files for formal referral to the insurance carrier’s Special Investigations Unit (SIU).
• Maintain detailed and confidential records of all investigation activities and findings in accordance with internal protocol and regulatory requirements.
• Execute periodic and event-based monitoring of defined key operational and financial controls within the TPA processing environment to confirm effectiveness.
• Assist in the reporting of control gaps, deficiencies, and emerging risks to the Risk and Compliance leadership.
• Collaborate with Operations and Training teams to develop and implement targeted process changes, control enhancements, and improved documentation to mitigate identified risks.
• Assist in the development and delivery of training modules related to compliance, fraud awareness, and new quality standards for operations, quality assurance and TPA contact center staff.

Quality Assurance, Risk Control – Special Investigations Analyst

Data Analyst

• Use SQL, dbt, CI/CD, Github, and Google Cloud to automate data transformation pipelines that flow to our various enterprise partners .
• Use Data Visualization tools (such as Tableau) to create intuitive data products, allowing our enterprise partners to better understand their business and trust their data.
• Strong communicator, not afraid to contribute during meetings with stakeholders and engineering teammates, and asks clarifying questions to better understand business requirements and opportunities.
• Build subject matter expertise within the insurance domain, in order to better anticipate partners’ needs.
• Recommend and adopt data governance best practices to Improve data quality and controls.
• Construct data validation checks and automated unit tests to catch data quality issues early, ensuring reliable downstream analytics and partner deliverables
• Collaborate with other data analysts and engineers, sharing work and cross-training others.
• Ensure data quality through automated monitoring and alerting, and occasionally serving within an on-call rotation.
• Maintain a positive attitude and encourage the growth and development of team members.
• Make decisions as a team. Propose your ideas. Review others’ work. Shared ownership.

Senior Data Analyst

Frontend Engineer

• Lead the evolution of our cutting-edge frontend platform, driving architectural decisions and establishing patterns that enable scalable experiences across the organization
• Architect and implement complex user interfaces, setting standards for accessibility, performance, and responsive design while mentoring others on best practices
• Partner with backend engineers to design and evolve our platform capabilities
• Provide technical leadership across cross-functional teams, influencing product direction and technical roadmaps while ensuring alignment between user needs, business objectives, and technical excellence
• Champion engineering excellence through comprehensive testing strategies, establishing team standards for unit, integration, and end-to-end testing
• Lead by example in code reviews, providing thoughtful feedback that elevates team capabilities and maintains architectural consistency
• Optimize and evolve our CI/CD infrastructure using NX and CircleCI, driving improvements in build times, deployment reliability, and developer experience

Senior Frontend Software Engineer

Product Manager

• Lead a high-performing team of product managers, setting clear priorities and empowering them to deliver exceptional results
• Own product strategy and vision for your functional area, aligning business objectives with market opportunities and customer needs
• Lead market research, competitive analysis, and user discovery to identify high-impact opportunities and inform strategic decisions
• Develop and communicate compelling product roadmaps that balance immediate wins with transformative long-term bets
• Define success metrics and establish data-driven feedback loops to measure impact and guide continuous improvement
• Build persuasive business cases and influence executive stakeholders through clear articulation of vision, strategy, and outcomes
• Make critical decisions on product direction, resource allocation, and trade-offs to drive effective execution
• Partner seamlessly with Engineering, Design, Marketing, and Operations to ship products customers love
• Help recruit world-class product talent that raises the bar and brings diverse perspectives to the team

Director, Product Management

Customer Support

• Supervise the day-to-day activities of the contact center, ensuring optimal performance and effective processing across all communication channels.
• Monitor and manage handle times, talk times, and service levels at both the individual and team levels, ensuring that performance meets or exceeds established standards.
• Manage the CX team: Oversee the hiring, training, development, and the offering of mentorship and guidance to foster a high-performance team.
• Oversee processing of policy changes to ensure accuracy and completion
• Schedule and maintain shifts, lunches, breaks and the assigning of tasks as needed.
• Implement process improvements that reduce waste, minimize errors, and maximize productivity.
• Strive to exceed customer expectations in every aspect of service.
• Create a positive customer experience that drives customer satisfaction and loyalty.
• Monitor and share reports on customer satisfaction metrics.
• Research and resolve customer complaints and issues.
• Conduct regular quality assurance audits of customer interactions to identify areas for improvement and provide constructive feedback to staff.
• Ensure compliance with quality standards and regulations.
• Evaluate agent performance and provide feedback.
• Address employee concerns and issues.
• Work closely with cross-functional teams and external partners to streamline processes and improve efficiency.
• Collaborate with partners to guarantee that our performance meets or exceeds contractual requirements.

Customer Experience Manager – Post-Issue

• Provide expert advice and guidance to Customer Care Advisors on customer inquiries across all channels.
• Resolve complex customer and agent issues, including managing escalations.
• Lead, mentor, and coach a team of Customer Care Advisors, fostering a positive team culture.
• Facilitate team meetings and communications.
• Identify and implement process improvements to enhance efficiency and the overall customer experience.
• Lead and contribute to department projects and initiatives.
• Conduct quality assurance reviews, provide feedback, and generate reports.
• Build and maintain relationships with vendors and enterprise partners.
• Represent the team in meetings and act as a delegate for the CX Manager.
• Monitor key operational processes, conduct business testing, and participate in audits.
• Analyze team performance, identify trends, and provide feedback.
• Support team performance management through regular reviews and feedback.

Team Lead, Customer Experience

• Report to the CTO and develop and execute a comprehensive QA strategy aligned with business objectives and product roadmap
• Build, scale, and mentor the QA organization, including hiring and training QA engineers and analysts
• Establish quality metrics, KPIs, and reporting frameworks to measure and communicate quality outcomes
• Design and implement automated testing frameworks for web applications, APIs, and integrations
• Oversee test planning, execution, and reporting for complex insurance workflows and business logic
• Ensure comprehensive testing of data accuracy and performance across product features
• Lead shift-left testing practices and integrate quality gates into CI/CD pipelines
• Collaborate with product, engineering, security, compliance, customer success, and support teams
• Develop testing strategies for regulatory reporting and audit requirements (SOC 1, SOC 2, GDPR, state insurance regulations)
• Manage risk assessment and mitigation strategies related to product quality
• Present testing strategy and plans to customers and coordinate integration testing with customer teams
• Drive continuous improvement initiatives to enhance testing efficiency and effectiveness

Director of Quality Assurance

• Develop and support web services using Python, Java, Drools Rule Language, and PostgreSQL
• Build new platform capabilities that scale with the business and multiple partners
• Collaborate with Enrollment Product Managers, Underwriters, external partners, and cross-functional teams to plan and execute the product roadmap
• Integrate services using gRPC, REST, and async messaging patterns
• Share responsibility for operating workloads on Kubernetes in Google Cloud Platform
• Ensure services are observable, monitored, and maintain high quality through automated tests
• Participate in design, deployment, and troubleshooting of distributed systems and microservices

Senior Backend Engineer, Python

Accountant

• About Bestow: Bestow is a leading insurance technology platform serving some of the world's largest and most innovative life insurers. We are on a mission to increase financial stability for everyone. Bestow is a team of mission-driven, results-oriented individuals. We offer all employees a remote (contiguous 48 only)/hybrid workplace, meaningful benefits, substantial growth opportunities, and equity.
• About the Team: Bestow is seeking a Staff Accountant to join our team. As we expand our enterprise business, you will be integral in implementing processes and systems of scale and ensuring accurate accounting and compliance. You will help keep our books accurate, our close process smooth, and our reporting reliable.
• This role reports to our Controller and can be hybrid from our Dallas, TX headquarters (preferred, 2 days/wk in office) or open to Remote (US).