Role Description We operate a multi-tenant automotive SaaS platform serving thousands of dealer groups across the United States. Our data layer has grown to support a complex, high-throughput transactional platform. Now we need to make it intelligent. We are building a Dealer Intelligence Platform: a closed-loop system that observes raw signals from dealer operations, predicts outcomes, optimizes decisions under constraints, acts through approved channels, and learns from what happened. - Pricing optimization - Lead routing - Inventory mix planning - Service bay scheduling This role owns the entire data substrate that makes that loop possible — the lake, the feature store, the model registry, the action ledger, and the governance framework that keeps it all tenant-isolated and audit-grade. You are not inheriting a finished architecture; you are designing the one that turns a transactional platform into a decision engine. Qualifications - 7+ years in data engineering or data architecture with at least 2 years in a platform-level architect or Head-of role. - Deep experience with both relational (MySQL/PostgreSQL/Aurora) and NoSQL (DynamoDB, DynamoDB Streams) data modeling. - Hands-on experience building or operating feature stores. - Hands-on experience with AWS data and ML services. - Current, practicing AI/Gen-AI practitioner. - Experience with streaming and CDC patterns. - Experience with data pipeline orchestration. - Understanding of data migration patterns. - Experience with multi-tenant data architectures. - Strong data governance instincts. - The ability to write a data architecture doc that engineers can implement without ambiguity. Requirements - Hands-on experience with SageMaker and AWS Bedrock. - Experience building embeddings pipelines. - Experience designing retrieval systems. - Experience building closed-loop data systems. - Experience with data quality and anomaly detection at scale. - Understanding of multi-tenant AI governance. Benefits - Comprehensive medical, dental, and vision benefits. - Employer provided STD/LTD and life insurance. - Matching 401k plan. - Unlimited paid time off, including 10 paid holidays. - Real ownership of a high-stakes AI surface — your roadmap, your architecture decisions, your metrics.

Role Description This role focuses on subscription analytics and initiatives to drive growth. Here, you will partner closely with Product, Business, Data Engineering and Instrumentation teams. The tasks fall broadly into these areas: - Size new opportunities and work with a broad cross-functional team to support roadmap planning, implementation, and launch of new products and features. - Identify key learnings from data and distill findings into recommendations for business owners. - Define, measure and communicate KPIs for overall business and key initiatives. Build and maintain regular reports and provide ad-hoc analysis to support business needs. - Work with engineering to identify data needs for new initiatives and build data pipelines. Partner with the instrumentation team to ensure tracking is in place before launches. Qualifications - 5+ years of experience working and understanding of data structures and pipelines. - 5+ years of experience with demonstrated expertise in programming, developing, and managing SQL, R and/or PySpark. - Bachelor's degree in the preferred fields of Mathematics, Economics, Engineering, Statistics, Business Analytics, Finance, or equivalent quantitative discipline. Preferred Qualifications - Related business understanding with experience in product growth or analytics. - Strong business presentation and storytelling skills. Communication skills to package findings. - Work well within cross-functional teams and manage stakeholders. - Ability to structure and solve problems.

• Atuar de forma colaborativa em equipes multidisciplinares, mantendo comunicação clara e relacionamento harmonioso com diferentes áreas do negócio. • Desenvolver, implementar e manter modelos matemáticos para simulação, otimização e suporte à tomada de decisão em processos da empresa. • Traduzir problemas de negócio em formulações matemáticas (ex.: programação linear, inteira mista, não linear). • Desenvolver soluções computacionais escaláveis, com foco em desempenho, robustez e manutenibilidade. • Escrever código limpo, organizado e bem documentado, seguindo boas práticas de engenharia de software. • Participar do ciclo completo de desenvolvimento das aplicações (análise, modelagem, implementação, testes, validação e evolução). • Trabalhar em conjunto com usuários e stakeholders para entender necessidades, validar resultados e superar expectativas.

Role Description Voyager's Advanced Technologies Group is defining the future of the company and critical space and defense markets. The Material Scientist is a hands-on research role responsible for advancing materials research and computational modeling in support of novel space applications. The role combines scientific rigor with applied machine learning to develop predictive tools and support mission-driven research programs. The scientist works collaboratively across engineering and program teams to drive research from concept through execution. Essential Functions: - Conduct and support materials research across computational and experimental domains. - Develop and apply machine learning and data-driven methods to materials modeling and process optimization. - Assemble, curate, and analyze datasets from simulations, experiments, and scientific literature. - Collaborate with internal engineering teams and external research partners to advance materials knowledge and capabilities. - Translate research findings into actionable guidance for space mission applications. - Write technical reports and presentations; contribute to proposals and design reviews. Qualifications - PhD in Materials Science, Chemical Engineering, Physics, or a related field. - Familiarity with applying machine learning or data-driven methods to scientific or engineering problems. - Experience with computational simulation methods (e.g., MD, DFT). - Strong analytical and problem-solving skills with the ability to work across computational and experimental domains. - Excellent written and verbal communication skills. - Ability to work effectively on multi-disciplinary teams and manage multiple priorities. Requirements - Experience modeling inorganic systems, particularly those relevant to metal alloys and/or semiconductors. - Familiarity with experimental material characterization datasets spanning multiple methods (i.e., XRD, SEM, TEM, EDS, XPS, and spectroscopic techniques). - Curious, detail oriented, and analytical with a proven ability to learn quickly. - Honest, Respectful and Patient. - Ability and willingness to make an impact. - Demonstrated initiative, drive, and interpersonal skills. - Thrives in a dynamic and fast-paced environment. Benefits - Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance. - Comprehensive medical, dental, and vision coverage for employees and their families, with a significant portion of premiums covered by the company and many benefits paid at 100% for employees. - Flexible, affordable gym memberships with 12,700+ options nationwide including 24 Hour Fitness, EoS Fitness, Crunch Fitness, Anytime Fitness, Blink Fitness, Chuze Fitness and more! No long-term contracts and FREE on-demand workout videos before you enroll. - 401(k) retirement plan with a 50% company match on contributions up to 8%, supporting long-term financial security. - Company wellness programs that support physical and mental well-being. - Additional voluntary benefits and employee support resources. - The opportunity to work alongside a highly talented team in an innovative, mission-driven environment.