Lead technical initiatives in data science for Membership products, developing predictive models, personalization, experimentation, and generative AI to drive growth and monetization.
Responsibilities
Liderar tecnicamente iniciativas de Ciência de Dados para os produtos de Membership
Desenvolver modelos preditivos para aquisição, engajamento, retenção, churn e expansão de receita
Construir soluções de personalização e recomendação para aumentar conversão e utilização dos produtos
Identificar oportunidades de segmentação, propensão e Next Best Action ao longo da jornada do cliente
Definir métricas, hipóteses e metodologias para experimentação e otimização contínua dos produtos
Requirements
Formação superior em Estatística
Formação superior em Matemática
Formação superior em Ciência da Computação
Formação superior em Engenharia
Nice to have: Experiência em produtos de assinatura
Lead the technical vision and architecture for the ADEM Agent, ensuring performance, security, and stability across multiple operating systems.
Compensation
$147,000.00 - $237,500.00/yr
Responsibilities
Define long‑term architectural vision for the ADEM Agent across Linux, Windows, macOS, and mobile platforms
Lead the Design Review Board for all Agent‑side features
Drive the evolution of the Agent's telemetry collection and processing pipeline
Partner with Product Management, Core Infrastructure, and Security teams to translate ambiguous business requirements into robust technical specifications
Mentor Staff and Senior engineers
Requirements
BS/MS/PhD in Computer Science or a related technical field
Senior Product Manager to own and drive the strategy, roadmap, and execution of the Rating Engine, a core system that powers pricing and rating risk across the business.
Locations (2)
Atlanta, Georgia, United States
Sandy Springs, Georgia, United States
Responsibilities
Own end-to-end product vision, strategy, and roadmap for the rating engine
Partner with Risk/Actuarial leadership to understand pricing strategy and translate into product requirements
Build and maintain a prioritized backlog balancing rate change deadlines, regulatory needs, technical debt, and platform scalability
Define and communicate multi-quarter and multi-year roadmap to executive stakeholders
Act as primary liaison between Risk/Actuarial and IT/Engineering teams
Contribute to the design, development and implementation of the core Voice Platform and build large Voice AI distributed systems at scale.
Compensation
base pay of $176,100 - $308,200, plus equity (when applicable), variable/incentive compensation and benefits
Responsibilities
Contribute to the design, development and implementation of the core Voice Platform (Audio Acquisition, Conversation Management, Speech Generation, integration with API and self-hosted Voice AI models, Voice Harness)
Partner with product managers to work with customers and build for their success
Build and deploy large Voice AI distributed systems at scale
Build-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes
Contribute to the continuous improvement of the SRE practice
Requirements
Nice to have: compliance and security in regulated environments
Contribute to the design, development and implementation of the core Voice Platform and build large Voice AI distributed systems at scale.
Compensation
For positions in this location, we offer a base pay of $201,300 - $352,300 plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Contribute to the design, development and implementation of the core Voice Platform (Audio Acquisition, Conversation Management, Speech Generation, integration with API and self-hosted Voice AI models, Voice Harness)
Partner with product managers to work with customers, understand their use cases and technology challenges, and build for their success
Build and deploy large Voice AI distributed systems at scale spanning multiple regions and datacenters
Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
Contribute to the continuous improvement of the SRE practice by turning operational use cases into requirements for software tooling