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Design, implement, and maintain scalable, fault-tolerant cloud infrastructure on GCP using Infrastructure as Code. Build and manage CI/CD pipelines and containerized deployments to ensure high availability and security.
The role involves owning core financial models and forecasting processes to drive profitability and business growth. You will partner with cross-functional teams to turn ambiguous business questions into actionable insights and lead strategic initiatives like new category launches.
Build, improve, and maintain internal tools to optimize logistics, supply chain, and operations. Scale the company's operational infrastructure to support significant growth in transaction volume.
Lead the development of product features from idea to launch, writing Go services and building frontend interfaces. Shape the overall technical strategy and engineering standards while solving complex technical bottlenecks.
Own and evolve pricing models across a diverse portfolio of collectibles, including designing approaches for sparsely-traded assets. Build data quality systems and ship production code into pricing pipelines in collaboration with engineering and operations teams.
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The role involves managing the planning, communication, and documentation for DCBS Family Support training sessions. The trainer will deliver content using applied learning strategies and manage records and reports in collaboration with the Training Manager.
Lead inventory strategy, category expansion, and operational planning to balance liquidity and risk across the business. Partner with Finance and Product teams to set budgets, build forecasting models, and oversee the scaling of new business lines.
The role serves as an operating partner to leadership, turning ambiguous questions into structured analysis and effective execution across finance, GTM, and technology. Key duties include owning high-priority initiatives, building operating rhythms, and designing AI-driven business processes.
The Product Data Analyst drives data-driven decision-making by managing the Product Solutions data roadmap and executing ETL processes. They analyze large datasets to identify trends and provide actionable insights to senior leadership and cross-functional teams.
Serve as a trusted advisor for large gig economy customers, focusing on risk, trust, safety, and compliance strategy. Act as a liaison between customers and internal product teams to translate operational needs into technical requirements.
Manage and grow revenue within strategic enterprise accounts through consultative sales and the development of strategic account plans. Coordinate with internal cross-functional teams to ensure service levels are maintained and provide solutions to complex business problems.
The engineer will be responsible for developing new features, maintaining existing functionality, and providing support for high-volume, security-intensive applications. This includes executing the full software development life cycle, managing cloud deployments, and implementing quality assurance procedures.
Manage land survey projects by assessing requirements, developing approaches, and signing surveys as the Surveyor in Responsible Charge. Responsibilities include preparing proposals, managing budgets, mentoring team members, and maintaining client relationships.
Research and develop LLM-based solutions for document intelligence, semantic search, and data extraction to automate insurance workflows. Partner with product and engineering teams to deploy advanced AI research into customer-facing production systems.
Deploy and tailor AI-powered workflows for insurance customers by integrating with agency management systems. Act as the technical bridge between clients and the core product team to turn real-world requirements into shipped systems.
Build intuitive, high-performance frontend experiences and reusable UI components for AI-powered insurance workflows. Collaborate with design and backend teams to translate Figma designs into seamless React applications.
Own the full sales cycle from discovery to close for complex deals ranging from $25K to $500K ACV. Partner with leadership to shape the go-to-market motion and feed market intelligence back into product development.
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Develop and deploy AI-powered solutions for insurance brokers, focusing on document review and quote comparison. Build and productionize scalable features across the full technical stack from backend systems to frontend experiences.
Own the roadmap for data ingestion, enrichment, and pipeline products to transform unstructured inputs into actionable data. Partner with AI and engineering teams to design scalable workflows and drive integration strategies with external platforms.
Design and ship AI-enabled workflow experiences to simplify complex insurance operations for brokers and wholesalers. Partner with engineering and go-to-market teams to translate user pain points into scalable product decisions and measured business impact.
Own the data plane by building ingestion pipelines and transformation layers to turn messy insurance data into clean datasets. Model and tune data across Postgres and ClickHouse to power analytics and AI products.
Own and manage the runtime infrastructure, including Kubernetes, GCP, and CI/CD pipelines for an AI-native platform. Focus on improving reliability, performance, and developer experience while leading incident response and on-call practices.
Lead the end-to-end design, build, and operation of AI-powered features across the backend and frontend. Drive technical standards, ensure code quality, and mentor junior engineers to maintain high velocity.
Lead the development of an AI-native platform for the insurance industry to automate manual workflows. Collaborate directly with founders and users to build and ship high-impact features from the ground up.
Build AI-powered features using LLMs, RAG, and semantic search to automate insurance workflows. Develop the backend services, data pipelines, and product UI necessary to turn AI capabilities into production-grade features.
Own product and application security for a multi-tenant AI platform handling sensitive insurance data. Drive secure SDLC, manage cloud posture in GCP, and lead incident response and compliance efforts.
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Lead the architecture for major systems spanning AI, data, backend, and frontend while removing technical bottlenecks. Set engineering standards for reliability and performance and mentor senior engineers to raise the technical bar.
The IT Engineer will own internal systems, corporate IT, and identity management to ensure secure scaling. Responsibilities include managing device lifecycles, administering SaaS applications, and automating internal IT workflows.
Own the end-to-end architecture of the data platform, including ingestion, transformation, and the analytical serving layer. Establish data engineering standards, mentor the team, and manage multi-tenant data modeling across Postgres and ClickHouse.
Define and execute the AI enablement strategy for Workday HCM to reduce manual effort and improve HR operational efficiency. Build and maintain scalable reporting and analytics solutions using Prism Analytics and Discovery Boards to support strategic decision-making.
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