Current openings

As a Client Partner, you'll drive a multimillion-dollar portfolio while championing client success from initial engagement to long-term value creation. You'll architect AI solutions that transform how global organizations leverage their data, build high-performing teams, and forge C-suite relationships to scale our GenAI consulting business. The ideal candidate blends business acumen with AI expertise to deliver exceptional outcomes. Key Responsibilities Lead Client Engagements. Hold full P&L accountability — revenue, margin, utilization, and pipeline — for an assigned client portfolio, typically generating $5–20M in annual services revenue. Drive growth. Lead the entire sales cycle by identifying whitespace, crafting deal strategy, negotiating contracts, and closing new, renewal, and expansion deals to meet or exceed annual quota. Build C-suite relationships. Cultivate trusted-advisor status with CIO/CMO/COO-level executives; translate their strategic objectives into GenAI roadmaps. Lead Strategic Governance. Create multi-year account plans, quarterly business reviews, and risk/issue logs; partner with delivery leads to ensure on-time, on-budget projects and top-quartile client-satisfaction scores. Thought leadership. Bring forward-looking POVs on GenAI, LLMs, and intelligent automation; publish insights, speak at industry events, and influence AnswerRocket IP investment. Team & talent management. Lead and mentor cross-functional consulting teams; manage staffing mix, coach career growth, and foster an inclusive, high-performance culture. Alliances & ecosystem. Leverage technology partners (cloud, data-platform, AI) to co-sell integrated solutions and accelerate client outcomes. Required Qualifications 12+ years in management consulting / professional services, including 5+ years owning account P&L or quota ≥ $5M. Proven record of closing complex analytics/data/AI deals and expanding enterprise accounts. Deep understanding of GenAI, analytics, and modern cloud data stacks; able to translate technical capabilities into business value. Demonstrated success building C-level relationships and influencing digital-transformation agendas.Experience leading distributed consulting teams and governing multiple concurrent projects. Exceptional communication, financial acumen, and negotiation skills. Experience building and activating strategic technology partnerships (cloud, data platforms, AI) to co-sell solutions and accelerate client outcomes. Bachelor's degree or equivalent professional experience required; MBA or relevant advanced degree preferred. Proven leadership skills with a willingness to travel 50% or more as needed for client engagements, prospect meetings, industry conferences, internal team gatherings, and related business needs. Preferred Experience Background at a top-tier consulting firm (e.g., Deloitte, EY, Accenture, Slalom, Publicis, etc.) Domain expertise in Consumer Packaged Goods (CPG) or other data-rich industries. Track record of developing alliance-based GTM strategies with major cloud providers (AWS, Azure, GCP) or AI platforms Familiarity with data-visualisation tools (Tableau, Power BI) and MLOps best practices.

We’re looking for a Senior Software Architect to join the Max AI team, the group behind our GenAI and large-language-model platform that transforms how organizations interact with their data and make decisions every day. In this hands-on development role, you’ll design and build core features across the stack, mentor fellow engineers, and set the technical direction for a rapidly evolving product. With meaningful opportunities for future leadership, this role is ideal for someone who loves turning cutting-edge ideas into production software while elevating those around them. What you'll do: Design and build high-quality, scalable solutions for enterprise businesses with a focus on transformation using GenAI. Collaborate closely with cross-functional teams to deliver Max AI, ensuring seamless user experiences that delight customers worldwide. Mentor team members by guiding them through design challenges, overcoming technical obstacles, and resolving bottlenecks to drive project progress. Contribute to a fast-paced, dynamic environment where clear direction isn't always available—your initiative and communication will be crucial. Engage with customers, executives from outside of engineering and other leaders from within the development team, providing key insights that drive product decisions. What we're looking for: Great software developers. Our stack is TypeScript (React) using graphQL to call Java/Kotlin and Python services, accessing large language models and SQL databases, deployed using docker on any cloud. Effective communicators with the skills to articulate the detail and value of our solution architecture to external stakeholders. Proven ability to mentor and guide other team members, fostering their growth and development. A passion for innovation, and the drive to constantly improve your skills, our software, our culture and the products we build together.  The ability to adapt and thrive in a rapidly changing environment. What you’ll need: 5+ years experience building professional software with a track record of growth; background in data transformation/analytics or machine learning preferred. Full-stack expertise, ready to learn what you don’t know and teach us if you’re ahead. Experience in our tech stack (TypeScript/React, Java/Kotlin, Python, SQL, LLMs, GraphQL, Mongo).

We’re seeking an experienced Enterprise Data Architect to join our growing team of AI and data professionals. In this pivotal role, you’ll design and implement scalable, high-performance data architectures that power our AI-driven solutions. Working at the intersection of enterprise data systems and AI technologies, you’ll help clients unlock the full potential of their data assets. This is a fully remote role, supported by an Atlanta-based team, and requires occasional travel to client sites based on project needs. What You’ll Do: Design and implement enterprise-scale data architectures that support AI solutions, ensuring scalability, performance, and security. Develop data models, taxonomies, and metadata frameworks aligned with business and technical objectives. Lead client discovery sessions to assess data landscapes, integration points, and transformation needs. Define data flows, entity-relationship models, and architecture documentation to guide implementation teams. Ensure seamless integration with AI/ML models by designing well-structured data architectures. Establish and enforce data governance standards, ensuring data quality, security, and regulatory compliance. Evaluate and recommend emerging data technologies to enhance platform capabilities. Advise internal and client teams on complex data architecture challenges. Mentor junior data professionals and contribute to the growth of our data practice. What You’ll Bring: Bachelor's degree in Computer Science, Information Systems, or a related field (Master’s preferred); or equivalent industry experience. 7+ years of experience in data architecture, data engineering, or related roles, with at least 3 years focused on enterprise-scale systems. Strong knowledge of data modeling techniques (dimensional, relational, NoSQL) and data warehousing concepts. Expertise in designing data architectures for AI/ML applications. Proficiency with modern data technologies including cloud data platforms (AWS, Azure, GCP), data warehousing solutions, and ETL/ELT tools. Strong leadership skills, with the ability to influence stakeholders, mentor teams, and drive enterprise-wide data strategies. Hands-on problem solver with a "get it done" mindset—ready to tackle challenges and drive results. Excellent communication skills with the ability to translate complex technical concepts for diverse audiences. Proven ability to work in a consulting environment with enterprise clients, leveraging a strong sales mindset and consultative approach to identify needs, drive value, and build lasting partnerships. What Makes You Stand Out: Experience designing data architectures for Natural Language Processing (NLP) or Large Language Model (LLM) applications. Certifications in AWS, Azure, GCP, TOGAF, CDMP, or other relevant methodologies. Expertise in real-time or streaming data architectures (Kafka, Spark, etc.). Familiarity with Kimball Group’s best practices for data modeling and warehousing.