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Develop, test, and maintain distributed systems and microservices for device management using Golang and related backend technologies. Build RESTful and gRPC APIs, deploy applications with Kubernetes, Docker, and cloud infrastructure, and maintain CI/CD pipelines. Collaborate on native operating system integrations and, for full-stack work, reusable Vue.js components. Apply AI throughout software development and testing, support device enrollment capabilities, participate in on-call rotations, and collaborate with globally distributed engineering teams.

Own daily workplace operations across NYC, Boston, and Nashville offices, including supplies, vendors, mail, equipment, space upkeep, and internal processes. Plan culture events, support onboarding setup, welcome visitors and employees, and coordinate travel between offices. The role is based in Brooklyn five days per week and requires occasional travel to Boston and Nashville.

Lead engineering for a portfolio of consumer mobile apps, overseeing architecture, hands-on development, shared backend platforms, and reusable components. Manage a small team of mobile and backend engineers while partnering with product leadership on roadmap and prioritization. Use retention and engagement data to guide investment, represent the data apps business with executives, and improve development leverage through shared platforms and AI-assisted engineering.

Analyzes game monetization data to improve key performance indicators, evaluate A/B tests, identify opportunities, and recommend solutions. The role queries databases using HQL and SQL, analyzes results with Excel and statistical tools, prepares weekly management presentations, provides status reporting, and performs ad hoc analysis.

Lead and scale Runpod’s analytics and business intelligence function, managing analysts and BI practitioners while setting the analytics roadmap. Own core company metrics, consumption and marketplace analytics, self-service reporting, experimentation practices, and executive and board-level insights. Partner with Product, Finance, Engineering, Security, Supply, and Go-to-Market leaders to improve data quality, modeling, decision-making, and strategic outcomes.

Process and verify customer orders, maintain accurate account records, respond to inquiries, coordinate returns and freight claims, provide quotes and order updates, and collaborate with engineering, production, logistics, and sales to ensure timely fulfillment. The role also supports continuous improvement by identifying service gaps and recommending process enhancements.

The Account Executive owns the full B2B sales cycle in Orange County, including territory development, prospecting, lead generation, relationship building, product presentations, contract negotiation, and closing. The role manages a sales pipeline, meets revenue quotas, conducts cold outreach, networks with the small-business community, represents Justworks, and provides customer insights to support product development. Travel within the territory is required for networking events, trade shows, and prospect meetings.

Lead data science initiatives supporting Product and Commercial Operations. Analyze growth opportunities, define success metrics, conduct experimentation and causal inference, and deliver actionable insights. Lead initiatives such as experimentation systems and data agents while promoting strong analytical practices. Partner with stakeholders to drive measurable product impact, minimize marketplace losses, and communicate complex findings to executive audiences.

Own the global RFx response lifecycle, including qualification, compliance analysis, drafting, coordination, review, submission, and post-decision analysis. Use AI tools to develop accurate and persuasive responses while governing reusable content and approval processes. Coordinate Sales, Product, Security, Finance, Legal, and other stakeholders across time zones. Track performance, support public-sector and regulated-industry bids, and continuously improve proposal processes, content, and reporting.

Own end-to-end analytics pipelines for AI usage, developer experience, engineering productivity, and spend. Instrument telemetry, build governed ETL workflows, define trusted metrics, and create executive dashboards and visual narratives. Analyze results, recommend improvements to AI ROI and developer experience, and communicate methodology to senior stakeholders. Collaborate across data engineering, applied AI, and data science while using AI coding agents to build, test, and maintain production data systems.