Top Remote Senior Level Jobs in Atlanta, GA

The Senior Data Engineer will maintain and improve data infrastructure, design ETL processes, and create high-performance pipelines for analytics and AI initiatives using SQL and Python in cloud environments.

Design, optimize, and deploy deep learning models for customer behavior prediction. Perform feature engineering, implement research-informed architectures, scale training pipelines, collaborate with client teams, document findings, and uphold engineering best practices.

Outbound-focused senior BDR responsible for generating high-quality meetings for AEs via cold calling, email, and social outreach. Self-source prospects in DTC, fintech, and neobank verticals, meet KPIs, qualify leads, document activity in Salesforce/Gong, collaborate with sales and marketing, and use AI tools to accelerate prospecting.

Lead commercial operations to scale sales, marketing, customer success, and clinical implementation. Build processes, KPIs, CRM automation and dashboards, manage logistics, reimbursement strategy, and customer health programs while partnering with executives to drive growth and operational excellence in a regulated healthcare environment.

Sell Health Advocate's advocacy, navigation, wellness and EAP solutions across the Midwest/Chicago region to C-suite and broker/consultant partners. Build pipeline through cold/warm calling, LinkedIn Navigator, and events; manage opportunities and notes in Salesforce; present proposals and finalist presentations; leverage existing broker relationships and a personal contact book; travel within territory and follow a prescribed sales process to meet quota.

Lead and build a Revenue Enablement function, defining strategy, operating model, onboarding, content, field readiness, measurement, and tech adoption. Manage one specialist, design structured onboarding and enablement programs, partner cross-functionally (Sales, Product, Marketing, CS, HR, Revenue Ops), drive AI/tool adoption, and connect enablement to measurable revenue outcomes while scaling the team and governance.

As a Staff Data Scientist, you'll develop and deploy machine learning models to enhance renter experiences and optimize property partnerships, collaborating across teams to translate data insights into actionable strategies.

Own and evolve end-to-end data pipeline architecture across ingestion, transformation, modeling, and serving. Lead platform improvements (cost, compute efficiency, access control), CI/CD, monitoring, and incident response. Drive cross-team technical initiatives, mentor engineers, and integrate AI tooling to improve workflows while remaining hands-on building and debugging production pipelines.

Lead combined Analytics Engineering and Data Engineering teams owning the end-to-end data roadmap from ingestion to trusted metrics. Manage hiring and performance, set architecture and platform investments, enforce testing/monitoring/documentation standards, review technical decisions, and partner with product and business stakeholders to translate needs into prioritized deliverables.

Lead embedded analytics for a core business area (growth, product, AI, or partnerships). Define problems, build metrics, run analyses and experiments, deliver insights and recommendations, and drive outcomes end-to-end with stakeholders.

Embedded on a core business team, own analytics end-to-end: define problems, design metrics and experiments, pull and analyze data, build reports, surface insights, and drive measurable outcomes by recommending and influencing product, growth, and operations decisions.

Design, build, and maintain scalable .NET and Angular web applications across the full stack. Lead technical architecture, implement CI/CD pipelines, execute application and database migrations, write and test clean code, debug production issues, produce technical documentation, and mentor peers while collaborating with product, QA, and cross-functional teams using agile practices.

Lead and manage a software engineering team to plan, design, develop, implement, and support software products and integrations. Oversee project delivery, prioritize resources, evaluate proposals, work with Product Managers on requirements, troubleshoot production issues, and support team professional development while managing multiple concurrent priorities.

Serve as the senior day-to-day strategic partner for enterprise clients, build executive relationships, lead cross-functional teams, manage budgets and scopes, identify growth opportunities, and drive integrated experiential, retail, content, and technology initiatives to deliver outstanding client outcomes.