Top Tech Jobs & Startup Jobs in Atlanta, GA

Provide in-person representation for master calendar and individual immigration hearings in the Atlanta area. Select compatible hearings from a weekly calendar, comply with local court rules, meet deadlines, and work independently. Georgia bar licensure in good standing and immigration law experience are required or preferred, with Spanish fluency beneficial. Compensation starts at a flat fee of $300 for master hearings, with higher rates for individual hearings.

Provides high-level administrative and operational support to multiple senior executives. Responsibilities include complex calendar and travel coordination, executive communications, confidential information management, meeting and event planning, reports and presentations, office process improvement, and cross-functional special projects. The role requires strong judgment, organization, discretion, communication, and proficiency with Microsoft Office applications.

Performs month-end close activities, journal entries, reconciliations, financial reporting, lease accounting, consolidation, and account analysis under GAAP and IFRS. Maintains chart of accounts and supplier records, investigates unusual transactions, supports audits, and prepares financial analyses. Collaborates with Treasury and FP&A, maintains accounting policies, and provides cross-functional support while working independently and meeting deadlines.

Generate leads through in-office and door-to-door prospecting, offer roof inspections, manage the full sales cycle, conduct inspections, support insurance adjuster meetings, educate homeowners, and document activities in CRM and mobile tools. The role is commission-based, in-office, full-time, and includes paid training with opportunities for advancement.

Develop and operationalize AI-native engineering tools, workflows, standards, and reference architectures across the enterprise. Research emerging technologies, build proofs of concept, integrate approved tools, and create scalable engineering patterns. Develop and deliver AI training, tutorials, documentation, presentations, and demonstrations for technical teams and executives. Support adoption through office hours, change management, stakeholder communication, troubleshooting, and feedback gathering.

Leads consulting engagements that design, build, evaluate, and deploy enterprise agentic AI and infrastructure automation solutions. Responsibilities include multi-agent orchestration, LLM and model-platform integration, RAG, tool and API connectivity, guardrails, observability, testing, and production rollout. The role advises client executives, translates business needs into AI strategies, mentors engineers, develops reusable architectures and evaluation assets, and drives responsible, measurable AI outcomes.

Designs, builds, and operates observability and SRE systems that improve IT service visibility, reliability, performance, and resilience. Responsibilities include metrics collection, monitoring, alerting, APM, RUM, synthetic transactions, SLOs, incident response, capacity planning, infrastructure automation, self-healing systems, and production readiness reviews. The role also applies AI-enabled operations, supports on-call rotations, reduces operational toil, and partners with development teams on architecture and chaos testing.

Leads confidential executive searches for Director-level and above roles, partnering with senior leaders on hiring, succession planning, market intelligence, talent assessment, compensation discussions, and offer negotiations. Builds diverse executive talent pipelines, advises stakeholders with data-driven insights, manages high-touch candidate experiences, and promotes consistent, inclusive executive recruiting practices across global teams.

Lead multiple sales-related projects from initiation through completion, managing scope, timelines, budgets, risks, dependencies, documentation, and stakeholder communications. Coordinate with sales, production, purchasing, engineering, service, vendors, contractors, and clients. Maintain milestone reporting, resolve issues, capture lessons learned, and ensure project deliverables achieve intended outcomes. The role requires project leadership, strong organization, communication, financial understanding, research skills, and familiarity with power generation products and construction-related processes.

Supports captive insurance management through financial reporting, cash management, renewals, claims analysis, actuarial data coordination, regulatory compliance, governance, and oversight of captive administrators. Prepares financial analyses, monitors premiums and claims, manages insurance transactions, and facilitates board, advisory committee, and finance meetings.

Administers expense management and corporate card programs, audits expense reports for policy compliance, maintains Concur configurations and user accounts, manages card issuance and cancellations, investigates discrepancies, prepares compliance reports, and supports internal financial controls. Partners with Finance, HR, Payroll, and department leaders to resolve issues, maintain audit-ready records, train users, and improve expense processes.

Owns end-to-end feature development for React applications, improves automated testing and CI/CD quality gates, leads code reviews, administers GitHub repositories, strengthens security and dependency management, builds reusable UI patterns, and mentors distributed engineering teams. The role also involves client-facing technical leadership, translating business needs into technical plans, and collaborating across projects and technologies.

Supports fund operations, investment accounting, portfolio reporting, transaction reconciliations, capital calls, treasury management, investor reporting, fund valuations, NAV calculations, audits, tax reporting, and process improvements for alternative investment clients.

Designs and maintains scalable, low-latency data pipelines for real-time and batch market data. Builds ETL/ELT processes, optimizes storage and streaming systems, supports productionizing AI and machine-learning models, and improves data quality, observability, reliability, and cost efficiency. Collaborates with data scientists, ML engineers, and product teams to evolve Fetcherr’s data platform.