AI Transformation Analyst
Dialpad
| Company | Dialpad |
| Category | Uncategorised |
| Location | Buenos Aires |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 16 Mar 2026 |
| Last verified | 2 Aug 2026 |
| Source | Employer career page (greenhouse) |
Description
About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage.
Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved.
Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile.
Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.
We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.
We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As an AI Transformation Analyst (P3), you will design, build, and own AI powered products that improve how Dialpad's internal teams operate. You'll work across the entire lifecycle, from identifying opportunities with stakeholders, architecting scalable AI systems, and deploying production ready solutions, to monitoring and continuously improving their performance. You'll be expected to independently lead complex engineering initiatives, influence technical direction, and mentor junior engineers while collaborating closely with product, analytics, and business teams. This role is based in Argentina and reports to the Senior Manager, AI Transformation. The candidate should maintain overlap with North American and global engineering teams to support technical collaboration, architecture discussions, and project delivery.
What You Will Do
Design, build, and maintain production grade AI systems, including multi-agent workflows, RAG applications, workflow automation, and LLM-powered services.
Lead the technical implementation of complex AI initiatives from discovery through deployment.
Architect scalable backend services, APIs, evaluation pipelines, and retrieval systems.
Improve reliability, observability, and performance of production AI applications.
Define engineering standards, reusable components, and best practices for AI development.
Collaborate directly with business stakeholders to understand problems and translate them into scalable AI solutions.
Evaluate new foundation models, frameworks, and prompting strategies, making recommendations for adoption.
Build evaluation frameworks and automated testing strategies for LLM-based systems.
Mentor junior engineers through code reviews, technical guidance, and design discussions.
Participate in architectural planning, sprint planning, technical reviews, and cross-functional initiatives.
Drive continuous improvements in engineering processes, documentation, and operational excellence.
Skills You Will Bring
5+ years of experience in software engineering, machine learning engineering, AI engineering, or a similar technical role.
Strong Python development skills with experience building and maintaining production systems.
Deep understanding of LLMs, prom
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