Top Remote Senior Level Jobs in Richmond, VA

The Manager of BSA/AML Operations leads alert review and investigations, ensuring compliance with BSA/AML policies and regulations, while overseeing a team of analysts in various financial operations.

The Manager, Monitoring Coverage & Analytics leads assessments of transaction monitoring effectiveness, partners with analytics and operations teams, and supports regulatory readiness. Responsibilities include optimizing monitoring rules, analyzing metrics, and documenting findings for compliance.

Oversee the fraud risk management program, manage fraud alerts and investigations, collaborate with cross-functional teams, and drive continuous improvement in fraud detection processes.

Technical leader for Data Engineering responsible for designing, operating, and optimizing Snowflake-based data platforms, self-hosted orchestration (Prefect), dbt practices, AWS infrastructure, and data pipelines. Drive architecture, mentor engineers, partner cross-functionally, ensure observability and production-grade practices, and enable model-ready datasets and AI/LLM workflows.

Lead platform engineering focused on identity, authentication, and authorization across scalable, resilient backend services. Drive architecture, full‑stack TypeScript development, CI/CD automation, testing, on‑call service ownership, and mentor junior engineers while collaborating with cross‑functional teams to deliver cloud, hybrid, and on‑prem deployments.

Design, build, and maintain scalable control-plane features for Cribl Stream to deploy, configure, and orchestrate distributed nodes. Collaborate with cross-functional teams to implement production APIs, automated tests, and reliability improvements. Participate in on-call rotations, incident response, and SaaS operations while using AI-assisted tools to improve development and operational efficiency.

Manage and grow a portfolio of enterprise accounts within Model N's Top 100, lead complex SaaS sales cycles, drive cross-sell/upsell and renewals, build executive relationships, collaborate with internal teams, maintain Salesforce pipeline, and meet/exceed ARR and funnel targets.

Support revenue accounting operations including order-to-cash review, revenue recognition, deferred revenue and unbilled reconciliations, AR aging and write-offs, month-end close analysis, audit support, process improvements, and cross-functional reporting.

Drive U.S. strategic growth by identifying, developing, and closing complex enterprise deals in the Databricks ecosystem. Build executive relationships, lead co-sell motions with partners, design account plans, and partner with Sales, Engineering, and Delivery to ensure successful execution and long-term value. Own CRM updates and relay market feedback to shape offerings and GTM strategy.

Design, build, operate, and optimize large-scale production data pipelines and foundational Healthcare Map data products using Python, SQL, Airflow, Spark, and AWS. Ensure data quality, observability, and performance; debug complex workflows; contribute to architecture, CI/CD, testing, documentation, and cross-functional delivery to enable analytics and AI/ML use cases.

Lead resolution of critical enterprise support escalations across cloud, networking, and infrastructure. Drive root-cause analysis, influence engineering fixes, design customer architectures, define support SLAs/processes, mentor team members, and introduce tooling and practices to improve reliability and support outcomes.

Design, build, and operate distributed GPU training infrastructure for large neural networks. Optimize multi-node/multi-GPU execution, diagnose compute/memory/network bottlenecks, improve stability and fault tolerance, and partner with research teams to productionize large-model training pipelines for reliable, high-throughput training at scale.

Lead GTM strategy and operations for customer-facing teams. Develop measurable growth strategies, manage cross-functional workstreams and special projects, and lead a cross-functional strategy and analytics team to drive company priorities and revenue.

Support pricing for MGUs by developing and improving pricing models (GLMs), analyzing portfolios, compiling statistics and dashboards, evolving rating tools, evaluating vendors, and communicating strategy with underwriting and carrier partners to drive growth and profitability.