Cutting-Edge Technology Jobs in Atlanta, GA

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Looking for Cutting-Edge Technology jobs in Atlanta, GA? Browse our curated listings with transparent salary information to find the perfect Cutting-Edge Technology position in the Atlanta, GA area.

Manager, Customer Success Management

Company: ServiceTitan

Location: Atlanta, GA

Posted Jan 22, 2025

ServiceTitan is seeking a Manager, Customer Success Management to oversee a team of Customer Success Managers. The role involves coaching team members to achieve goals, handling escalations, and maintaining a positive team environment. The ideal candidate should have 3-5 years of people management experience, proven leadership skills, and a deep understanding of customer service. They should be solutions-oriented, adaptable, and have excellent emotional intelligence. The role offers a flexible work schedule, family-friendly benefits, ongoing learning opportunities, and a supportive company culture.

Data Engineering Consultant

Company: Accenture

Location: Atlanta, GA

Posted Jan 22, 2025

Accenture Applied Intelligence is seeking a data engineering professional with extensive experience in building large-scale data/analytics solutions and designing data pipelines. The role involves consulting as part of a team, using Agile methodologies, and designing real-time analytics solutions. The ideal candidate should have strong communication skills, leadership abilities, and a deep understanding of digital technology. They should be comfortable working in an information systems environment and have experience with SQL, Python, and cloud platforms like AWS or Azure. The position offers the opportunity to work on complex problems, contribute to digital metamorphoses, and make a tangible difference.

Industry X Manufacturing Automation Senior Manager

Company: Accenture

Location: Atlanta, GA

Posted Jan 22, 2025

Accenture is seeking a Senior Manager for Industry X Manufacturing Automation. The role involves sales origination, solutioning, leading pursuit teams, and participating in proposal development. The candidate should have a minimum of 10 years of experience in Warehouse Management and/or Warehouse Automation, and 6 years in Robotics - Warehouse Automation and/or Industrial Robotics. A Bachelor's Degree and/or MBA is preferred. The role involves managing small teams and/or work efforts, and travel for client-essential sales/delivery activities. Accenture is committed to diversity and inclusion, and offers competitive compensation, starting from $200,000 - $205,999 in Colorado.

Data Migration to Cloud Engineer

Company: Accenture

Location: Atlanta, GA

Posted Jan 22, 2025

Accenture, a global professional services company, is a leading partner to major cloud providers including AWS, Azure, and Google. They have consolidated their cloud teams into a single business practice called Accenture Cloud First, backed by a $3 billion investment over three years. The Data & AI team is renowned for providing insights and solutions for cloud migrations. The Teradata Engineer role involves designing, developing, and implementing complex Teradata system engineering activities. Qualifications include a minimum of 3 years of experience in cloud migrations and data warehouse design, a Bachelor's degree, and preferably certifications in cloud platforms and multi-cloud experience.

Technology Solution Architect

Company: Accenture

Location: Atlanta, GA

Posted Jan 22, 2025

SAP on Cloud Delivery Lead

Company: Accenture

Location: Atlanta, GA

Posted Jan 22, 2025

Customer Success Manager, Enterprise

Company: ServiceTitan

Location: Atlanta, GA

Posted Jan 22, 2025

ServiceTitan, a leading software technology platform for the trades, is seeking a Customer Success Manager, Enterprise. The role involves managing a portfolio of high-touch enterprise customers, building senior-level relationships, and collaborating with customers to solve complex problems. The ideal candidate should have 4+ years of account/project management experience, strong multi-tasking skills, and a passion for helping hard-working people. ServiceTitan offers a flexible work schedule, family-friendly benefits, ongoing learning opportunities, and a diverse, inclusive culture.

Frequently Asked Questions

What are typical salary ranges by seniority for Cutting‑Edge Technology roles?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, and principal/lead roles $210k–$280k. Quantum developers follow a similar scale but start at $110k–$140k, mid at $140k–$190k, and senior at $190k–$250k, often with a 10%–15% equity component.
Which skills and certifications are most demanded in this category?
Core languages: Python, C++, Rust, and Q# for quantum. Frameworks: TensorFlow, PyTorch, JAX, and Qiskit. Cloud expertise: AWS SageMaker, Azure AI, and GCP Vertex. Certifications: TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Developer (CBDE). Hands‑on projects on Kaggle, Hackathon participation, and published research elevate a candidate’s profile.
Is remote work common for Cutting‑Edge Technology positions?
Yes. Over 70% of listed roles offer full‑remote or hybrid options. Companies provide cloud‑based development environments, virtual lab access for quantum simulators, and remote‑first collaboration tools (e.g., GitHub Codespaces, JupyterHub, and Discord/Slack). Support for home‑office budgets and flexible schedules is standard.
What career progression paths exist in this field?
Technical tracks: Junior → Mid → Senior → Principal → Staff Engineer. Managerial tracks: Team Lead → Engineering Manager → Director of Engineering → VP of Technology. Lateral moves to product, data science, or research labs are common. Clear performance metrics, mentorship programs, and promotion criteria are published on job listings.
What industry trends should candidates monitor in Cutting‑Edge Technology?
Quantum advantage is moving from simulation to real‑world problem solving, demanding expertise in error correction and hardware‑software co‑design. Edge AI is expanding into autonomous drones and IoT, requiring low‑power inference and on‑device learning. AI democratization tools (AutoML, LLM fine‑tuning) lower barriers but increase demand for model governance. 5G and edge computing convergence fuels new network‑edge AI services.

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