Top Tech Jobs & Startup Jobs

Own product information quality across its lifecycle by validating, enriching, uploading, and syndicating data through inRiver and other PIM systems. Resolve data gaps with stakeholders, support channel data issues, communicate requirements, track product launch status, and maintain syndication templates. The role requires strong data management, stewardship, communication, Excel, and retailer or marketplace PIM syndication experience.

Build and maintain automated test frameworks for a large-scale platform using TypeScript and Playwright. Write functional, integration, and API tests; integrate automated suites into CI/CD pipelines; debug issues and perform root-cause analysis; and contribute independently to production backend code using Java or Kotlin. The role is fully remote and may expand into broader backend engineering responsibilities.

Conduct mixed-method UX research for enterprise IT and operations tools, including AI-enabled self-service experiences and AI skills concepts. Scope studies, recruit participants, analyze findings, maintain jobs-to-be-done frameworks, and deliver actionable recommendations and executive-ready readouts. Partner with product, design, engineering, service, and operations teams to validate tooling decisions, improve employee experiences, and support successful rollout and measurement.

Own the technical development and administration of an enterprise AI collaboration platform. Build production AI agents, workflows, integrations, APIs, connectors, and RAG solutions across Slack, Google Workspace, Glean, Claude, and ChatGPT. Ensure security, permissions, governance, reliability, evaluation, and monitoring. Lead architecture reviews, establish engineering standards, troubleshoot complex issues, mentor contributors, and advise leadership on emerging AI capabilities.

Own and evolve AWS infrastructure, EKS Kubernetes platforms, Terraform IaC, and GitOps delivery pipelines using GitHub Actions, ArgoCD, and Atlantis. Manage environments, secrets, observability, security, reliability, and cost optimization while supporting data and application infrastructure. Partner with Tech Leads to define requirements and deliver production-ready systems, troubleshoot issues, assess risks to stateful systems, and maintain safe, auditable deployments in a remote, part-time engagement through December.

Own and enhance high-scale Salesforce Service Cloud platforms and AI-enabled post-sales workflows. Develop with Apex, LWC, and Flows; support Omni-Channel, telephony, routing, case orchestration, communications, and Salesforce-to-Snowflake integrations. Provide production support, monitor platform health, triage critical alerts, investigate automation failures, manage incidents, and document findings. Work remotely during US Central Time with a focus on operational stability and continuous platform improvement.

Develop and maintain Python scripts to integrate SAST, DAST, and SCA security gates into CI/CD pipelines, tune scanning tools to reduce false positives, deploy hardened baselines, and provide code-level remediation guidance to development teams.

Build and integrate LLM-powered features across frontend and backend systems. Develop React components, extend Python APIs and backend services, integrate Claude, OpenAI, or similar model APIs, and create AI workflows. Collaborate with product, QA, and engineering teams in overlapping EST hours while contributing to scalable solutions and AI quality practices.

Build and integrate LLM-powered functionality across React frontends and Python backend services. Responsibilities include prompt engineering, API-based model integration, AI workflows, frontend component development, backend APIs, integrations, data processing, and collaboration with product, QA, and engineering teams. The role is fully remote and requires collaboration during overlapping EST hours.

Conduct mixed-method UX research for enterprise IT and Operations employee experiences, including AI-enabled self-service and AI skills. Independently scope studies, recruit participants, analyze findings, maintain jobs-to-be-done frameworks, and deliver decision-ready recommendations. Partner with product, design, engineering, service, and operations stakeholders to validate tooling and guide enterprise rollouts.