Top Remote Senior Level Jobs in Atlanta, GA

Own quality engineering for high-throughput payment systems by architecting automated regression, performance, stress, and load testing. Build emulators for external payment systems, integrate quality gates into CI/CD pipelines, validate microservices, event-driven architectures, and databases, and use Prometheus and Grafana for observability. Apply AI-assisted testing, synthetic data generation, and edge-case analysis while mentoring engineers and preventing incidents through telemetry-driven testing and post-mortems.

Provides high-level executive support to the CEO and leadership team, managing complex calendars, travel, meetings, confidential matters, and follow-through. Writes and edits executive and company-wide communications, coordinates all-hands and leadership events, prepares Board materials, and supports change communications. Improves executive-office workflows using Microsoft 365, AI tools, templates, trackers, and repeatable processes.

Own Linktree’s production AI platform, including pipelines, model and prompt versioning, evaluations, monitoring, rollback, cost, latency, and reliability. Drive internal AI adoption through tooling, agent workflows, and enablement across Product, Engineering, Marketing, and Support. Establish practical governance for data handling and vendor risk, make build-versus-buy decisions, align AI investment with business priorities, and mentor engineers and analysts.

Lead client discovery and executive engagement to identify high-value AI and data opportunities. Translate ambiguous business problems into use cases, hypotheses, MVP scopes, business cases, and measurable KPIs. Facilitate workshops, prototype solutions using AI-assisted and low/no-code tools, and partner with technical teams to develop scalable solutions. Manage client alignment, scope, risk, adoption, and change communication while connecting technology investments to business value.

Own relationships and net revenue retention for 25–35 strategic enterprise healthcare customers. Drive adoption, renewals, upsells, cross-sells, executive business reviews, account planning, forecasting, and measurable customer outcomes. Partner with Support, Product, Marketing, Partnerships, Sales, and customer-facing teams to remove blockers and expand platform usage. Advise customers on healthcare data privacy and use Freshpaint, Looker, and HubSpot to monitor account health. Travel up to 30%.

Owns the end-to-end contract and legal document lifecycle, including maintaining MSAs and templates, redlining routine agreements, managing document control and data rooms, coordinating due diligence, tracking renewals, and supporting contract execution. Drafts investor, equity, trademark, and corporate filing documents while serving as an internal legal and paralegal resource. Partners with Finance, Compliance, Sales, People Operations, leadership, and outside counsel, escalating higher-risk legal matters as needed.

Leads a full-stack engineering team building AI-powered products and workflows for go-to-market functions. Responsibilities include engineering strategy, architecture, reliability, security, hiring, performance management, cross-functional discovery, prototyping, production delivery, and measurement. The role owns integrations across Salesforce, data platforms, product systems, and AI services while delivering measurable improvements in revenue, conversion, productivity, or quality.

Coordinates cross-domain compliance programs covering Responsible AI, privacy, accessibility, and the Digital Markets Act. Supports feature inventories, compliance reviews, engineering collaboration, workflow improvements, documentation, Azure DevOps work items, reporting, shiproom updates, and stakeholder communications. The role tracks decisions, actions, risks, and release readiness while handling sensitive compliance information and helping teams navigate requirements across multiple domains.

Oversee end-to-end implementation of Course Planner solutions for school district clients. Manage complex projects, stakeholder relationships, data dependencies, integrations, customer requirements, adoption, and project momentum. Review and resolve data issues, explain technical concepts clearly, document challenges, and collaborate with customer success and product teams on quality assurance and product improvements.

Own the full sales cycle for AI infrastructure customers, from outbound prospecting and technical validation through negotiation and close. Activate existing relationships with AI founders, infrastructure leaders, and ML teams; build qualified pipeline; maintain accurate forecasts and CRM data; and partner with Solutions Engineering on evaluations. Advise technical buyers on architecture, training and inference economics, GPU supply, and cluster tradeoffs. Travel up to 35% for customer meetings, events, and site visits.