Staff Engineer, AI Transformation
Description
The Company
The Kantata Cloud for Professional Services™ gives businesses the clarity, control, and confidence they need to optimize resource planning and elevate operational performance. Our purpose-built software is helping over 2,500 professional services organizations in more than 100 countries focus on and optimize their most important asset: their people. By leveraging Kantata, professionals gain access to the information and tools they need to win more business, ensure the right people are always available at the right time, and delight clients with exceptional project delivery and outcomes.
Kantata is well-capitalized, hiring, and growing our loyal and diversified customer base faster than we ever have. Most importantly, we have a clear vision of where we’re going and how to get there. (Hint: It involves you.) Did we mention that Kantata is also an awesome place to work? You’ll have the opportunity to work in a dynamic environment with a team that loves what they do. A talented team, great perks, and an amazing culture = an employee-rated Best Place to Work!
Did we mention that Kantata is an awesome place to work? You’ll have the opportunity to work in an energetic environment with a smart team that loves what they do.
About the Role
Kantata is building an intelligent, connected customer journey spanning implementation, adoption, optimization, renewal, and expansion. We are seeking a Staff Engineer, AI Transformation who bridges software engineering, agentic architecture, and post-sales business operations.
In this role, you will not just strategize or manage roadmaps—you will directly design, build, deploy, and maintain custom web applications, AI agents, custom skills, and Model Context Protocol (MCP) integrations across our post-sales ecosystem (Customer Success, CX Operations, Professional Services, and Renewals). You will own the full technical lifecycle from initial architecture to production-grade deployment, ensuring our team scales capacity without linear headcount growth.
What You’ll Do
Architect & Build Production AI Solutions: Design, code, and deploy custom internal web apps, microservices, and agentic workflows that securely connect internal systems via MCP and APIs.
Develop Custom Agents & Tooling: Build robust AI agents, specialized skills, and context-aware tools using modern frameworks (e.g., LangChain, LlamaIndex, or native LLM client implementations) to automate complex, multi-step customer operations.
Integrate Enterprise Systems: Construct secure data pipelines and integrations connecting core enterprise platforms (Salesforce, Kantata PSA, data warehouses) with AI runtime environments.
Workflow Redesign & Optimization: Map existing manual workflows across Customer Success and CX Ops, identifying high-friction bottlenecks and translating business needs into high-impact software solutions.
Establish Governance & Human-in-the-Loop: Implement technical guardrails, data privacy protocols, rate-limiting, and human oversight mechanisms for high-stakes AI outputs.
Measure Business Impact: Track adoption, capacity released, cycle-time improvements, and cost-to-serve metrics to demonstrate clear return on investment to executive leadership.
Initial technical initiatives may include implementation automation pipelines, next-best-action agentic recommendations, AI-generated customer review preparation, renewal-risk detection systems, and role-based operational copilots.
What You Bring
5+ years of full-stack or backend software engineering experience (Python, TypeScript/Node.js) with a proven track record of shipping production code.
Hands-on experience building generative AI applications; connecting systems and providing intelligence or automation of specific tasks and goals through agents
Direct familiarity with the Model Context Protocol (MCP) or building custom API integrations/connectors between LLMs and enterprise tools (REST APIs, GraphQL, Webhooks).
Proficiency in modern web development frameworks (e.g., React, Next.js) for building clean internal apps and agent dashboards.
Familiarity with enterprise SaaS business architectures, systems and processes associated with go-to-market: Sales, Customer Success, Retention (Salesforce, Gainsight, PSA).
Strong product sense: Ability to evaluate business workflows, quantify released capacity, and translate frontline needs into clean software specs.
Preferred Experience
Familiarity with vector databases (Pinecone, Weaviate, Qdrant, Pgvector) and LLM observability tools (LangSmith, Phoenix).
Experience with serverless and cloud platforms (AWS, GCP, Vercel, Modal) for deploying lightweight microservices and AI endpoints.
Background working directly with or within Customer Success, Professional Services, or CX Operations teams in B2B SaaS.
Understanding of Professional Services metrics (utilization, billable vs. non-billable hours, margin optimization).
Why This Role Matters
AI is central to Kantata’s vision for delivering exceptional customer outcomes without linear headcount growth. This role offers the opportunity to shape how AI transforms post-sales operations, with executive sponsorship and broad cross-functional partnership.
Kantata offers competitive compensation and benefits, flexible time off, a remote-first environment, and professional-development support. Benefits are based on location and applicable local programs.
Kantata is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.