Jobs at Commerce

Leads the company-wide cybersecurity, compliance, governance, risk, and incident response programs across SaaS products, corporate systems, and cloud environments. Oversees security architecture, identity and access management, third-party risk, vulnerability management, audits, certifications, and customer assurance. Builds and manages global security teams, translates threats and regulatory requirements into business plans, and briefs executives and the board on security posture, incidents, risks, and investments.

Lead the product strategy for Feedonomics' API and AI assistant, drive enhancements for developer experience, and collaborate with engineering for successful product delivery.

Build, maintain, and document Salesforce solutions using declarative-first and custom development when needed. Write Apex, Lightning Web Components, and integrations; participate in code reviews; maintain development standards; build integrations with marketing automation and external APIs; contribute technical options and roadmap guidance; support CI/CD and data governance.

Design and build agent-based AI features that integrate across BigCommerce and partner systems. Connect agents to MCP servers, enable natural-language store management actions, integrate assistants into the control panel, collaborate with designers and NLP experts, prototype POCs, and contribute to tooling for LLM fine-tuning, prompt engineering, and safe action execution.

Own outbound prospecting across enterprise accounts through phone, email, and LinkedIn. Research target accounts, identify stakeholders, qualify prospects, book meetings, and hand off opportunities to Account Directors. Collaborate on account and vertical strategies, build pipeline through agency and systems integration partners, maintain accurate CRM records, and achieve monthly meeting, opportunity, and pipeline targets.

Own and deliver end-to-end solutions across services, APIs, UI surfaces, and event flows. Design reliable production systems, handle monitoring and incidents, debug distributed systems, collaborate with product and cross-functional teams, and improve quality through tests, observability, and simpler designs.

The Senior Backend Engineer will design, build, and scale AI-driven operations, manage the product lifecycle, and implement AI technologies while ensuring data security and system performance.

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.

Lead strategic customer relationships to ensure adoption, value realization, retention, and expansion across Commerce's AI-driven commerce products. Act as a trusted advisor, collaborate with product, sales, and support to solve complex commerce challenges, and promote responsible use of AI to accelerate customer outcomes.

Conduct outbound prospecting to generate qualified Mid-Market and Enterprise leads, qualify prospects, tailor solutions, maintain CRM records, meet monthly lead quotas, and collaborate with sales to convert pipeline into customers.

The Lead Technical Product Manager will define and execute the product vision for Catalyst, BigCommerce's storefront architecture, prioritizing developer experience and driving product strategy, execution, and stakeholder communication.

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.

Provide high-level executive administrative support to Engineering and Product leaders (calendars, travel, expense reporting, confidential correspondence) while managing day-to-day Atlanta office operations, vendor relationships, onboarding logistics, facilities issues, events, and workplace experience programs. Coordinate cross-functional requests and support leadership meetings, off-sites, and special projects.

Outbound-focused SDR responsible for researching target Mid-to-Enterprise accounts, executing multi-channel outreach, booking and handing off qualified meetings to AEs/ADs, maintaining CRM accuracy, improving sequences and messaging, collaborating on vertical strategies and partner campaigns, attending events to convert attendance into pipeline. Business-level additional European language preferred.

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.

Manage a portfolio of post-onboarding customers to drive retention, NRR, adoption, and satisfaction. Build success plans, monitor health, lead renewals and expansions, deliver education and demos, coordinate cross-functional support, and maintain records in Salesforce to ensure measurable customer value.