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Architect and own Coinbase’s real-time, cross-asset risk and margin engine for institutional trading. Design low-latency, high-throughput distributed systems; ensure reliability, observability, SLOs, and incident response; establish engineering standards; mentor engineers; and partner with Product, Trading, Credit Risk, Security, and Compliance to deliver the technical roadmap. The role requires deep Java, messaging, financial risk, margin, and regulated-systems expertise.

Build SDKs, self-service apps, and reusable abstractions for Coinbase's data platform. Develop data integration and processing tools, enable observability and security (cataloging, lineage, access controls), and collaborate with analysts, data scientists, and engineers to scale and operationalize data pipelines and models.

Own performance optimization, reliability, observability, capacity modeling, and automated failover for Coinbase’s blockchain node infrastructure. Diagnose resource bottlenecks, reduce infrastructure costs, define SLOs and SLIs, support protocol upgrades, and improve node performance across distributed systems at scale. Collaborate with protocol integration, wallet, and indexer teams while applying backend programming and systems profiling expertise.

Sell Wasabi cloud storage to enterprise accounts across the South Central region. Responsibilities include prospecting, converting leads, managing sales pipelines, coordinating partner-led account strategies, closing new business, expanding existing accounts, and developing long-term customer relationships. The role requires B2B or channel technology sales experience, complex sales-cycle expertise, CRM proficiency, strong communication, and a results-oriented approach.

The Principal Cloud Support Engineer at Wasabi leads technical support, mentors engineers, resolves complex issues, and advises enterprise clients, focusing on cloud storage solutions.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

Leads a data science team focused on customer intelligence and personalization across digital products, apps, newsletters, and marketing channels. Develops lifetime value, segmentation, retention, recommendation, attribution, forecasting, and engagement models. Owns product funnel analytics and experimentation, including A/B testing and causal inference. Partners with Product, Marketing, Editorial, Data Operations, and Engineering to translate customer behavior into product improvements, measurable growth, and scalable data capabilities.

Develops and productionizes deep learning and machine learning perception models for robotics and recycling sortation. Responsibilities include experimenting with neural network architectures, designing computer vision solutions, conducting statistical experiments, deploying successful models, collaborating with data, modeling, and cloud infrastructure teams, and improving ML infrastructure.

Analyze and characterize conversational audio data, identify underrepresented areas, and build active-learning and human-in-the-loop workflows. Develop representative benchmarks, automate model adaptation, and create reusable data analysis and scoring systems. Partner with research, engineering, and data teams to run experiments, improve models, organize data, and translate complex findings into measurable product improvements.

Research Staff will develop foundational voice AI technologies, including low-bitrate neural audio codecs, steerable speech generation, disentangled audio representations, latent recombination, synthetic audio data generation, and multimodal speech-to-speech models. The role also involves designing scalable architectures, training methods, and inference algorithms optimized for hardware, billion-hour datasets, and real-time deployment. Candidates need strong mathematical foundations, foundation-model expertise, large-scale data pipeline experience, rigorous experimentation skills, deployment optimization knowledge, and publications or open-source contributions in speech or language AI.

Lead and grow a security engineering team to design and operate cloud-native security controls, drive DevSecOps practices, conduct threat modeling and incident response, partner cross-functionally on security roadmaps, and ensure compliance with frameworks (NIST, SOC 2, ISO, etc.). Responsible for vulnerability management, identity and access controls, observability/SIEM, and security automation.

Owns product strategy and roadmap for GoodRx’s pharmacy claims adjudication platform. Defines requirements, prioritizes features, analyzes customer and business data, collaborates with engineering, design, research, analytics, and pharmacy partners, and delivers tools that improve workflows and experiences for retail pharmacies and patients. The role also supports experimentation, documentation, go-to-market planning, stakeholder communications, and occasional travel.

Lead and deliver productionized ML solutions across audience, marketing, pharma direct, and employer analytics. Design segmentation, propensity, attribution, and identity models; apply causal inference and experimentation; operationalize models with MLOps; evaluate generative AI/LLM use cases; set technical roadmap and mentor data scientists to drive measurable business impact.

Administer global compensation and benefits programs, including compensation cycles, job pricing, pay ranges, benefits enrollment, open enrollment, leave processing, audits, compliance, vendor coordination, and employee support. Maintain accurate data across Workday, payroll, and vendor systems; produce reports and survey submissions; and improve workflows through automation, documentation, and AI tools.

Lead the technical vision and architecture for backend systems supporting experimentation, personalization, analytics, and conversion optimization. Design and operate high-throughput distributed systems and APIs, build data infrastructure, and productionize AI/ML capabilities. Drive complex multi-team initiatives, influence engineering strategy, establish technical standards and operational excellence, and mentor senior engineers. Partner with product, data science, ML, and engineering teams to translate business needs into scalable solutions.

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

Analyze retailer sales, shipment, consumer, pricing, promotion, and competitive data to identify growth opportunities for Best Buy and Canadian Tire. Develop sell-in stories, present insights to retail buyers, support forecasting, and influence sales, marketing, product, and supply chain decisions. Use Excel, Power BI, syndicated data, generative AI, and automation tools to streamline reporting and deliver actionable commercial recommendations.

Manages the Home Depot national account, driving revenue, margin, market share, distribution, digital penetration, and profitability. Develops strategic account plans, oversees promotional spending, analyzes financial scenarios and POS trends, leads customer meetings, and coordinates sales planning, category analysis, supply chain, demand planning, finance, and customer service teams. Requires strong retail account management, analytical, organizational, communication, and execution skills.

Leads cross-functional operational excellence and transformation programs across multiple business domains. Responsibilities include process architecture, Lean and Six Sigma methodology application, stakeholder influence, change management, AI-assisted workflow redesign, automation governance, performance measurement, and executive communication. The role coaches stakeholders, manages complex initiatives, delivers measurable efficiency improvements, and develops sustainable operational frameworks with long-term organizational impact.

Leads commercial growth initiatives from concept through traction, including market sizing, business cases, go-to-market strategy, competitive intelligence, and cross-functional execution. Drives executive committee operating rhythms, board preparation, strategic initiative tracking, decision-making, and accountability across Product, Clinical, Marketing, Finance, Sales, and executive stakeholders.

Own product-layer performance for agentic AI systems in healthcare. Design prompting, retrieval, context, memory, tool use, evaluation, escalation, and human-review workflows. Build production-grounded evaluations, diagnose failures, improve accuracy, reliability, latency, cost, and steerability, and approve model changes. Partner with Product and Engineering while maintaining model cards, intended-use guidance, limitations, and failure-mode documentation for safe, transparent deployment.

Own enterprise customer relationships from implementation through ongoing value realization. Lead data connector and platform configuration projects, coordinate cross-functional delivery, manage account health and risks, conduct QBRs and EBRs, support adoption and renewals, and maintain trusted client partnerships. The role also involves documentation, process improvement, stakeholder communication, and mentoring teammates.