Top Tech Jobs & Startup Jobs in Atlanta, GA

The Director oversees specialized sales teams, develops sales strategies, aligns goals, standardizes processes, and drives performance improvements across the salesforce.

Own and deliver server-side features end-to-end for a cloud-hosted accounting SaaS: design data models and APIs, improve performance and reliability, mentor engineers, ensure observability and on-call readiness, collaborate with product and clients, and apply AI-assisted development safely to accelerate delivery.

Own and execute hyperscaler marketplace GTM (AWS, Azure, GCP) and scale a tiered VAR partner program. Drive sell-with and sell-through motions, accelerate partner-led revenue, align joint GTM with Sales and Marketing, enable VARs with Solution Architecture, and design partnership financial models and incentives.

The Community Growth Manager will grow Reedsy's network of publishing professionals, optimize lead acquisition, analyze data, and engage with the community through content and webinars.

Support the marketing team with social copy, creative direction, reporting, and advertising execution across social, email, and paid channels. Learn to read performance data, manage reporting in Google Sheets/HubSpot, and participate in cross-department creative workflows for client channels.

The Senior Java Developer will design, develop, and implement custom software solutions in Agile teams, mentor juniors, and ensure product quality.

Lead and scale Lambda Cloud's enterprise sales organization: recruit and coach sellers, define GTM and commercial terms, manage pipeline and forecasting, align capacity allocation with customer demand, close strategic, high-value accounts, and channel customer feedback into product and capacity roadmaps.

Manage the operational workflow for pre-litigation personal injury cases in Illinois and Ohio: open claims, request and track medical records and police reports, monitor liens and subrogation, collaborate with paralegals to prepare demands, and resolve operational bottlenecks to keep cases moving.

Partner with customers to design and deliver production-ready AI/ML solutions, drive POC-to-production success, troubleshoot technical issues, inform product roadmap with customer feedback, and communicate outcomes to stakeholders.

Own and improve the quality of AI-powered customer experiences by building evaluation frameworks, running experiments on prompts and model settings, reducing AI costs, diagnosing failure modes, and translating findings into prioritized fixes that drive activation, conversion, retention, and satisfaction.