Top Artificial Intelligence Jobs

The Customer Success Manager ensures customers achieve measurable outcomes using the SQREEM platform by driving outcomes, providing strategic advice, managing customer health, and expanding revenue within accounts.

The Forward Deployed Engineer will integrate AI systems with customer tools, architect scalable services, and improve product fit through customer feedback.

Work directly with the founders and leadership to drive high-priority strategic and operational initiatives. Lead 0→1 projects, support GTM and partnership efforts, scale company planning and execution cadence, prepare board materials, and coordinate cross-functional alignment and internal communications across the company.

Build and maintain production-grade Python ETL pipelines, data models, and integrations. Apply agentic AI workflows for automated data engineering and root-cause analysis. Work directly with customers to integrate and deploy the platform, translate data requirements into technical solutions, and document feedback for product improvements.

Manage US payroll operations for a distributed team: run pay cycles, maintain and audit employee records, ensure multi-state compliance, reconcile runs, document processes, and define quality standards. Work closely with operations and finance to prevent payroll errors and handle filings and year-end reporting.

Own the client's first 60 days: manage handoff from Sales, drive activation with Implementation, collect W-9/ACH for Accounting, train clients on OCRA reporting, perform invoice reviews, provide proactive early support, and execute a documented handoff to Strategic Account Managers and Revenue Optimization Managers.

Own evaluation, selection, and continuous optimization of LLMs powering the analytics platform. Build Eval frameworks, benchmark and migrate models, implement RAG and embedding-based pipelines, optimize cost/performance, deploy model changes to cloud production, monitor performance and drift, and document methodologies and runbooks. Collaborate with product and operations and take end-to-end ownership of AI engineering work.

Lead strategy and roadmap for a core product area focused on applicant and property verification. Improve user flows, reduce manual review via automation, align cross-functionally with engineering, sales, and customer success, and own outcomes and metrics to scale the product and partnerships.

Pre-sales Systems Engineer who partners with field sales and engineering to lead technical sales activities: communicate product capabilities, provide architecture guidance, run proofs of value, assist migrations, and remove technical objections to drive customer adoption of the Onehouse managed lakehouse.

Design, build, and maintain ELT pipelines and Snowflake/dbt models; integrate POS and telemetry sources; orchestrate pipelines on AWS; analyze data and produce Power BI dashboards; apply LLM/MCP tooling to automate workflows; collaborate with engineers and business partners to deliver production-grade data products.