[Remote] Staff Engineer, AI & Data Platform

Note: The job is a remote job and is open to candidates in USA. OrderMyGear (OMG) is a market-leading technology company focused on modernizing the apparel and promotional product decoration industry. As a Staff Engineer with a focus on AI & Data Platform, you will architect and deliver systems that enhance product intelligence and drive data-driven decisions, while collaborating closely with product leaders to align technical execution with business strategy.ResponsibilitiesArchitecting the data platform: Designing and building the ingestion pipelines, data models, and serving layer that power embedded reporting, operational dashboards, and AI-ready data products across our suite of productsDriving agentic AI integration: Exposing APIs across our portfolio as tool calls for LLM-driven workflows, building the agentic platform that handles cross-product concerns, and guiding how AI agents are woven into our SDLCDelivering shared services: Designing and implementing shared backend capabilities - inventory management services, customer data services, shared UI components - that product teams build on rather than rebuild themselvesPartnering with Product leadership: Sitting in strategy sessions to deeply understand business goals, then translating them into technical architecture, scoped work, and accurate estimates that the team can execute againstSetting engineering standards: Writing RFCs, leading design reviews, and establishing the patterns, tooling choices, and best practices that guide how the broader engineering organization builds on shared infrastructureMentoring engineers: Acting as a technical resource and force-multiplier for other engineers - reviewing code, unblocking complex problems, and raising the technical craft of the team around youEvaluating and integrating AI tooling: Researching and making opinionated recommendations on AI/ML frameworks, agent orchestration tools, and data infrastructure that will power customer-facing ML capabilitiesBuilding with many stacks: Working across cloud platforms and codebases in whatever language the problem calls for - this role requires comfort moving between environments, not loyalty to a single stackSkills7+ years of software and data engineering experience, with a demonstrated track record of owning and delivering complex, production-grade systems end-to-endShared platform / platform engineering experience: You've built infrastructure or services that multiple teams or products consumed - not just one-off features for a single teamAI-native mindset and practical AI/ML experience: Hands-on experience building data foundations for ML workloads, integrating LLMs into product systems, or designing pipelines that feed AI/ML models. You think about AI not as a future concern but as a present engineering requirementData engineering depth: Strong command of pipeline architecture, data modeling, cloud data warehousing, and orchestration - you can design a reliable, scalable, multi-tenant data platform from the ground upFull-stack versatility: Comfortable writing production code in multiple languages and across cloud platforms. You pick the right tool for the job rather than defaulting to what you knowStaff-level technical leadership: You operate as an architect and tech lead - writing RFCs, driving cross-team alignment, setting technical direction - without needing formal authority to make it happenProduct-engineering partnership skills: Experience working directly with Product leaders to understand business strategy, shape roadmaps, scope and estimate work, and keep technical execution aligned with business outcomesStrong written and verbal communication: Able to explain complex technical trade-offs to non-technical stakeholders and produce documentation that makes your systems understandable and maintainableExperience mentoring or developing other engineers at a senior or staff levelHands-on experience with embedded analytics in customer-facing SaaS products - building reporting features users interact with directly, not just internal BISaaS platform background, particularly with multi-tenancy: building shared services that isolate customer data and scale across many client organizations simultaneouslyFamiliarity with data governance tooling - catalogs, lineage tracking, access control frameworks, PII handling patternsExperience with eCommerce, B2B SaaS, or branded merchandise technologyBenefitsCompetitive benefitsUnlimited PTORemote work available for U.S.-based candidates401(k) with employer matchPaid parental leaveIn-office benefits for those local to Dallas, TX: catered lunches, casual office atmosphere & located in the Design District, fully stocked kitchenCompany OverviewOrderMyGear (OMG) is the technology platform that simplifies the branded merchandise industry. It was founded in 2008, and is headquartered in Dallas, Texas, USA, with a workforce of 51-200 employees. Its website is http://www.ordermygear.com.