Top Tech Jobs & Startup Jobs in Atlanta, GA

Lead CineFi marketing strategy and execution across acquisition, engagement, retention, loyalty, and partnerships. Own promotional campaigns, P&L support, agency management, A/B and multivariate testing, analytics-driven optimization, and cross-functional alignment to drive member growth and measurable business outcomes.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

The Senior Full-Stack Engineer will manage client relationships, design integration solutions, and ensure seamless delivery and optimization of technical workflows, while leveraging AI for efficiency.

The Account Executive will manage the full sales cycle, collaborating with teams to meet sales targets and develop customer relationships. Responsibilities include lead qualification, demos, and maintaining a healthy sales pipeline.

Support daily crypto market operations by monitoring prices, liquidity, and trading activity across spot, futures, and options. Assist with rebalancing across CEX/DEX, track issues for developers, analyze data and charts for signals, ensure trading bots meet risk and performance rules, and coordinate treasury and client reporting.

The role involves overseeing digital marketing strategies, execution across channels, data analysis, agency management, and ensuring brand consistency to drive growth for Quantum Energy Squares.

Lead global delivery of a large enterprise security program across distributed, follow-the-sun teams. Align multiple workstreams, manage cross-regional dependencies, run Agile ceremonies, mitigate technical and resourcing risks, and provide executive reporting on velocity, budget, and milestones. Requires experience in vulnerability management lifecycles or cloud security architectures and managing complex multi-region IT programs in regulated environments.

Develop predictive models and analytics to prioritize vulnerabilities by risk and impact, analyze large security telemetry datasets, build ML/statistical models to reduce scanning noise and false positives, and create unified data delivery and dashboards for security governance.

Own strategic vision and backlog prioritization for internal security tools and developer platforms. Define and prioritize user stories across multiple engineering workstreams, improve developer experience for ASPM and AI-enabled SDLC scanning, drive adoption frameworks, and translate executive security mandates into Agile delivery outcomes.

Serve as first-line risk advisor for Path to Advice; assess and design controls for new initiatives, manage audit/exam readiness, maintain NFRA inventory, handle incidents and remediations, update policies/BCP, produce risk reporting (KRIs/KPIs), and support AI use case governance and data-analytic reviews.

Lead design and development of software products and infrastructure for large-scale distributed systems. Gather requirements with business stakeholders, implement features and databases, produce technical documentation, perform code reviews, resolve production issues, and communicate solutions with global teams across the SDLC.

Administer and onboard Nonqualified Deferred Compensation (NQDC) plans, lead implementations and enrollments, perform audits and reconciliations, deliver funding analysis, ensure regulatory and tax compliance (including 409A), collaborate with payroll/finance/HR/tax, manage client relationships and escalations, and drive process improvements and service scalability.

Lead AI-first product strategy and roadmap for Azure HPC & AI compute platform. Drive market and customer analysis using AI, define features, prioritize backlog, coordinate SWE/HWE/Design/Security, manage go-to-market and performance metrics, ensure security/compliance, and drive adoption, monetization, and deprecation decisions across multiple feature areas.

Partner with Cloud & AI sales leadership to drive pipeline health, consumption forecasting, sales execution discipline, and data-driven insights. Lead planning engagements, milestone management, and change to accelerate Azure and AI platform revenue and customer value.

Lead risk-based IT audits across cloud, datacenter, infrastructure, security, networking, and software engineering. Assess controls, identify gaps, draft reports, coordinate with stakeholders and external auditors, and follow up on remediation.

Own the full QA lifecycle for AI-powered legal solutions: design and run unit, integration, system, performance, and scalability tests; integrate automated test suites into Azure DevOps CI/CD; generate and evaluate AI-assisted test cases; track defects and quality metrics; and collaborate on security and reliability testing.

Serve as the firm's SME on LLMs and generative AI; advise leadership on technical and legal risks; evaluate AI use cases; assess privacy, IP, bias, hallucination, and security risks; recommend controls and guardrails for agentic systems; advise on AI-driven threats and defensive opportunities; work cross-functionally with IT and Legal to implement AI governance and oversight.