Top Remote Jobs

Own post-sales customer lifecycle for a TPRM SaaS product: onboard, drive adoption, enable integrations (SSO, Jira, Slack), support technical troubleshooting, partner on renewals/expansion, relay customer feedback to Product/Engineering, lead QBRs, and build playbooks as an early team member.

Manage a portfolio of enterprise healthcare accounts and build new business in digital health and patient affordability. Own full sales cycle from prospecting to close, negotiate contracts, develop business plans to meet quotas, build client relationships, support post-sale success, and collaborate with internal stakeholders. Travel 30–50%.

Build and own end-to-end accounting operations and controls, deliver timely month/quarter/year financials, implement accounting systems (ERP, crypto subledger), manage audits and tax compliance, and support forecasting, cash planning, and strategic decision-making for a high-growth fintech trading app.

Build and own an internal AI-powered recruiting pipeline: end-to-end LLM-based sourcing, screening, AI interviews, evaluation logic, and deep integrations with ATS and scheduling to automate hiring workflows.

Lead cross-product engineering work: design APIs and data models, turn ambiguous customer problems into technical plans, implement and roll out features across web, APIs, CLI, integrations, and infra, debug production issues, and raise engineering quality through docs, reviews, and mentorship.

Lead a remote engineering org to define scalable SaaS architecture, build enterprise-ready platform foundations (reliability, observability, security), drive execution and delivery cadence, hire and develop engineering talent, and translate business priorities into technical plans while working with ML/AI and ad-tech use cases.

Lead NetSuite implementation workstreams: capture requirements, configure systems, manage data migration and integrations, validate processes, run testing and training, produce documentation, manage client escalations and timelines, and mentor junior consultants to ensure successful project delivery and adoption.

Build and ship agentic AI features across the full stack: design LLM-driven workflows, implement backend APIs and frontend UI, integrate MCP server capabilities, monitor production behavior, and iterate based on customer use. Drive projects independently, collaborate with product/design/engineering, and use agentic coding tools to prototype and deliver end-to-end features.

Collaborate with the founding team to design, prototype, and scale backend and infrastructure for an agentic AI assistant. Implement orchestration logic, API integrations, and LLM-driven workflows; build diagnostics, tests, and monitoring; improve agent reasoning and execution pipelines; participate in product and architecture discussions; document bugs and stabilize the platform for launch-readiness.

Run and maintain end-to-end image and video benchmarking pipelines, design and manage human preference studies, process and analyze vote data, ensure data quality, and serve as technical liaison to model providers while documenting processes and monitoring new model releases.