Sr. Technical Program Manager, FDE - LATAM

Description

You build and productionize data and AI solutions for customers on the company's platform as a Forward Deployed Engineer (FDE), owning the architecture and leading design decisions across data engineering, AI and application development.

The role is hands-on and customer-facing, suited to builders who connect technology to business results. FDEs are billable, deliver to specification, and bring strong customer empathy, integrating with client systems and providing training.

Work is cross-functional with engineering, product and developer relations, helping set long-term strategic priorities.

The platform is used by more than 20,000 organizations worldwide, including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever and 70% of the Fortune 500. The company is headquartered in San Francisco with 30+ offices globally and offers a unified set of six product areas.

Responsibilities

• Deliver production-grade systems for customer projects, including reference architectures, custom applications, data ingestion and ML/AI model integration.
• Guide strategic customers through big data projects, from end-to-end design to building and deploying big data and AI applications.
• Scope technical delivery with engagement managers, using input from the customer.
• Advise customers on architecture and design, and start or build their projects so they understand, evaluate and adopt the platform.
• Make architecture and design decisions that are secure and scalable, and that fit customer needs and company best practices.
• Coordinate with the company's technical team, project manager, architect and customer team so the technical work meets customer needs.
• Pass product and implementation feedback to engineering and support, and help resolve engagement-specific issues quickly.
• Embed with customer teams and work with stakeholders from individual contributors to executives.
• Build accelerators, frameworks and practices that other accounts can reuse, and that feed into the product roadmap.

Requirements

• 6+ years in data engineering, data platforms and analytics, or software engineering.
• Write code in Python, Scala, or JavaScript/TypeScript, and use modern frameworks.
• Working knowledge of at least two cloud ecosystems (AWS, Azure, GCP), with expertise in at least one.
• Deep experience with distributed computing on Apache Spark, including Spark runtime internals.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps, ML/AI models and AI APIs.
• Have designed and deployed performant, production end-to-end data architectures and applications that combine data pipelines, ML/AI models and user-facing interfaces.
• Have delivered technical projects by managing scope, timelines and measurable outcomes, and turning complex concepts into actionable solutions.
• Strong documentation and whiteboarding skills.
• Experience with enterprise clients and resolving conflicts across a broad range of stakeholders.
• Build skills in technical areas, and show curiosity, adaptability and eagerness to learn new technologies that support deploying and integrating the company's platform in customer projects.
• Hold a certification in the company's platform.

Conditions

Spend 20% of your time travelling to customers.

If the role requires access to export-controlled technology or source code, the company decides whether to seek a U.S. government license and may decline to proceed with an applicant on that basis alone.

The company is committed to an inclusive culture and considers applicants without regard to protected characteristics.

Benefits

• The company offers comprehensive benefits and perks, with details for each region published on its benefits page.