Jobs at Commerce

Support day-to-day GRC operations: assess third-party vendors, maintain vendor risk register, track remediation and control evidence, assist with internal control testing and audits (SOC 2, ISO 27001, PCI-DSS), maintain policies, prepare reporting, and contribute to process improvements.

Lead backend engineering for a high-performance, data-intensive SaaS platform. Responsibilities include defining technical vision, designing scalable and highly available systems, executing technical projects, participating in architecture decisions, monitoring and optimizing services, improving CI/CD and infrastructure, conducting postmortems, mentoring engineers, documenting practices, and aligning with partner teams.

Lead and grow an enterprise data engineering team while owning the Snowflake and Airflow platform roadmap. Build reliable, governed data products and modernize pipelines using AI-assisted and agentic workflows. Establish standards for quality, observability, lineage, cost efficiency, incident response, and documentation while partnering with Analytics, Data Science, Product, and business stakeholders.

Leads revenue operations across Sales, Partner, and Customer Success, owning pipeline management, forecasting, territory planning, KPIs, dashboards, systems, and process improvement. Partners with Finance, Analytics, Product, and leadership to translate go-to-market strategy into scalable execution. Manages AI-enabled sales tools, reporting, automation, operating cadences, and a high-performing operations team while driving revenue growth, retention, expansion, and customer outcomes.

Build and maintain backend storefront services powering BigCommerce, extend GraphQL APIs, support AI-driven shopping capabilities, resolve production issues, improve performance and reliability, review code, and collaborate on technical designs. The role requires production backend experience, API and service communication knowledge, observability and deployment practices, automated testing, and responsible use of AI coding assistants.

Leads infrastructure and platform engineering teams responsible for globally scalable, highly available systems. Owns infrastructure roadmaps, cloud-native and Kubernetes adoption, infrastructure-as-code, developer productivity, reliability, security, and observability initiatives. Manages hiring, coaching, performance, and career development while partnering with engineering, product, security, architecture, and other stakeholders. The role combines people leadership with occasional technical design, architecture review, and hands-on implementation.

Leads architecture, development, and evolution of large-scale distributed systems supporting a global commerce platform. Drives AI and GenAI integration, technical roadmaps, engineering excellence, performance, scalability, security, and reliability. Provides cross-domain technical leadership, mentors engineers, leads code reviews, collaborates with product and design teams, and builds tools and frameworks that improve engineering delivery.

Design, build, and evaluate conversational AI agents using Go and Python. Own agent orchestration, sub-agent architecture, prompt engineering, tool integrations, guardrails, approval flows, observability, and evaluation infrastructure. Develop datasets, scorers, regression suites, and quality metrics for production readiness. Collaborate cross-functionally on conversational experiences, make architecture decisions, rapidly prototype agents, harden them for launch, and mentor engineers.

Leads and develops Customer Success Managers while owning retention, renewals, expansion, adoption, forecasting, customer health, and Net Revenue Retention. Manages escalations, improves lifecycle processes, presents performance insights to leadership, and partners cross-functionally with Sales, Product, Support, Marketing, Finance, and Operations to scale customer outcomes and operational excellence.

Leads the design, automation, operation, and scaling of infrastructure across on-premises data centers, GCP, and AWS. Responsibilities include infrastructure as code, configuration management, networking, load balancing, DNS, monitoring, observability, distributed systems administration, documentation, technical direction, project leadership, and mentoring. The role requires deep Linux, hardware, networking, cloud, storage, backup, and Python automation expertise.

The Technical Customer Support Representative assists eCommerce merchants by providing technical support via phone, email, and chat, troubleshooting issues, and enhancing customer satisfaction through effective problem-solving and communication.

Lead and define AI architecture, ensuring scalable, reliable AI systems while mentoring engineers and collaborating with product teams.

Lead the design, build, and scale of a hybrid semantic search platform on OpenSearch. Own indexing pipelines (MySQL, Kafka/RabbitMQ), integrate vector embeddings and neural search, tune relevance and ranking, ensure ultra-low latency and high availability, mentor engineers, and participate in on-call rotation.

Lead strategy and execution for technology partner programs, app marketplace, and embedded partnerships. Build and scale partner ecosystem, influence product roadmap and integrations, negotiate strategic agreements, grow Partner & Services Revenue, measure partnership performance, and hire and develop a global business development team to drive partner-driven product and revenue outcomes.

Lead design and delivery of AI-driven product solutions across the commerce platform. Own high- and low-level architecture, implement scalable RAG/LLM systems, select AI infrastructure, mentor teams, and collaborate with product and engineering leadership to execute AI strategy and rapid experimentation.

Develop, maintain, and update Commerce product and developer training content; produce developer-focused videos; translate platform changes into learning materials; deliver customized virtual and in-person training; scope enterprise training needs; coordinate stakeholders and manage training logistics to support merchants, partners, and internal teams.