Top Tech Jobs & Startup Jobs

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.

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.