Jobs at Stord

Owns marketing operations, pipeline analysis, attribution, lead routing, HubSpot administration, and Salesforce alignment. Builds reporting and attribution models, manages funnel conversion and marketing automation, maintains data quality, and recommends improvements to pipeline generation. Partners with Marketing, Sales, SDR, and executive leadership to measure campaign performance, improve lead management, and support forecasting and GTM reviews.

Leads Stord’s enterprise systems, corporate and fulfillment-site IT, SaaS portfolio, business process governance, master data, privacy operations, and systems integration. Owns architecture, integrations, identity, endpoints, networks, onboarding, vendor oversight, compliance evidence, AI adoption, and M&A systems integration. Builds and manages the IT and Enterprise Systems team while partnering with Security, Data, Engineering, Finance, Procurement, Legal, People, and Operations.

Build and ship AI platform features, including agent tool systems, prompt pipelines, integrations, orchestration, and edge-deployed services. Develop reliable LLM-powered applications using TypeScript, Cloudflare Workers, Durable Objects, databases, and AI SDKs. Own features from design through production monitoring, contribute to architecture and technical decisions, mentor engineers, and collaborate with Product, Design, Data Science, and other engineering teams.

Own Stord’s customer marketing engine, including gifting, customer communications, email campaigns, advocacy, case studies, testimonials, and customer storytelling. Partner cross-functionally with Sales, Customer Success, Product Marketing, Content, and Brand teams to support launches, expansion campaigns, retention, pipeline growth, and go-to-market messaging. Manage multiple programs, apply voice-of-customer insights, improve attribution and marketing operations, and build scalable processes independently.

Drive enterprise business development for supply chain technology and fulfillment services. Identify and engage prospective clients through account-based selling, generate leads, build consultative relationships, understand logistics needs, present tailored solutions, manage CRM activity, and collaborate with operations and customer success teams. The role focuses on transportation, warehousing, e-commerce fulfillment, and expanding high-value client relationships across the United States.

Lead full sales lifecycle to enterprise customers across the US: prospect, demo Stord platform, build strategic relationships, manage CRM pipeline, forecast revenue, and close new business while maintaining customer satisfaction.

Own product vision, strategy, and roadmap; convert ambiguous operational and commerce problems into clear requirements; partner with engineering and design to ship features quickly; define business-linked metrics; engage customers and stakeholders; and get close to operational realities (warehouses, carriers, checkout) to ensure product quality and impact.

Embed with internal teams to identify high-leverage manual workflows and build production-grade agentic AI systems, integrations, and automation (LLM-powered interfaces, observability, APIs, dashboards) that reduce manual effort across CX, finance, ops, and logistics.

Seeking a Senior Elixir Engineer to develop scalable systems and contribute to technical decisions within product groups, focusing on Elixir and cloud technologies.

Own full-cycle recruiting for Finance and SG&A roles, including sourcing, screening, coordination, offer negotiation, and closing. Partner with Finance leaders to define hiring needs, assess accounting and finance talent, build pipelines, monitor recruiting metrics, improve processes, and deliver a strong candidate experience. Use market insights and recruiting data to support scalable, equitable hiring practices in a fast-growth environment.

Lead end-to-end experimentation pipeline for Stord Labs, coordinating robotics, AI, vendors, engineering, and operations to validate and scale logistics innovations into production pilots and enterprise rollouts, develop deployment playbooks, and manage co-funded customer pilots and executive demonstrations.

Lead the Decision Science function, designing ML models, overseeing experimentation frameworks, and ensuring model adoption across the company, driving operational and commercial improvements.

Lead cross-functional internal systems programs including tooling rollouts, migrations, automation, and SOC audit readiness. Build roadmaps, run reviews, create playbooks, manage vendors and stakeholders, and deliver projects on time with strong communication and execution.

Lead design and delivery of an egocentric video data product: capture rigs, edge processing, dataset pipelines, VLM-assisted annotation, and production-ready perception models (detection, tracking, segmentation, depth/3D reconstruction, and 6DoF pose estimation). Operate and scale warehouse capture programs and own model training, evaluation, optimization, and deployment.

Senior individual contributor owning complex end-to-end ML problems for supply chain and consumer applications. Build and deploy predictive models (demand forecasting, delivery ETA, recommendations), embed with engineering teams, define MLOps standards, and advise leadership on data science strategy and investments.

The Data Engineer will design and maintain data pipelines, enhance the data warehouse, support machine learning applications, and collaborate with various teams to leverage data effectively.

Own and operate scalable infrastructure on GCP (GKE, Cloud Run, AlloyDB); author Terraform modules; manage containerized workloads; build observability in Datadog; design CI/CD in GitHub Actions; automate operational workflows; lead incident response and post-mortems; partner with engineers to improve reliability, cost, and automation.

Lead and build a new Embodied AI data business: win initial customers, define data products, stand up warehouse capture operations, build data pipelines and quality processes, hire and lead a senior team, and own the P&L.

Lead and scale a multi-team engineering organization owning Billing, TMS, WMS, and LMS. Manage five engineering managers and a Principal Engineer, drive billing automation, deliver a standalone TMS/Parcel system, improve network LMS efficiency, and ensure WMS reliability and international scalability. Build cross-functional partnerships with Finance and Parcel, make organizational design decisions, coach managers, and prioritize technical investments to deliver measurable cost and revenue outcomes.

Serve as primary customer contact for Stord's Commerce software, owning end-to-end onboarding, activation, and adoption. Build scalable onboarding programs, training materials, and playbooks; monitor usage and ROI; coordinate cross-functional teams to resolve issues, influence product direction, and drive renewals and expansion.