R

Rackspace Technology

Managed multicloud cloud services and security

Forward Deployed Palantir Solutions Lead

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-time$192.6k - $339k /yr

About the Job

Requirements

  • A high school diploma or regional equivalent is required.
  • A bachelor's degree is required, preferably in Computer Science; at the manager’s discretion, additional relevant experience may substitute for the degree requirement.
  • At least 12 years of experience in data engineering, data architecture, or enterprise AI delivery, including at least 6 years in a customer-facing or field role.
  • Hands-on Palantir Foundry and AIP experience, including Pipeline Builder, Ontology, Workshop, AIP Logic, or OSDK, and the ability to build a working prototype independently.
  • Experience running time-boxed build-with-the-customer engagements, such as bootcamps, hackathons, or one-week proof-of-concepts, that led to signed or expanded deals.
  • Demonstrated product discovery and product ownership practice, including non-leading interviewing, event storming or domain-driven design, journey mapping, requirements elicitation, and backlog ownership.
  • Deep familiarity with at least one enterprise system of record, such as SAP, Oracle, or Epic, and the modern data stack, including Snowflake or Databricks, a major cloud platform, change data capture, and master-data concepts.
  • Strong Python and SQL skills, with working knowledge of PySpark and TypeScript.
  • Deep domain expertise in Healthcare, BFSI, Manufacturing, or Logistics/Supply Chain verticals, including their systems of record, data standards, and regulatory constraints.
  • Trusted-advisor relationships with operational and financial executives and their technology leadership, plus presentation and facilitation skills.
  • Ability to turn ambiguous customer needs into a scoped plan under tight timelines.
  • Working knowledge of data security, privacy, and compliance requirements in regulated industries.

Responsibilities

  • Serve as the primary technical advisor to operational executives on greenfield pursuits and existing accounts, bringing their technical leadership into the work.
  • Own the technical account plan, including the use-case roadmap, target architecture on Foundry and AIP, and path from the first bootcamp to enterprise-wide adoption.
  • Lead discovery through non-leading interviews, event storming, journey mapping, and requirements elicitation to select the initial use case.
  • Own and prioritize bootcamp and production backlogs, keeping scope focused on business value within the engagement window.
  • Plan and lead one-week scope-and-build bootcamps with customer teams, directing forward-deployed engineers and delivery engineers on what to build and why.
  • Build prototypes hands-on in Pipeline Builder, Ontology, Workshop, AIP Logic, and OSDK, using AI forward-deployed engineering and other large language model-based tools where speed or ambiguity demands it.
  • Design ontology, integration, and governance patterns connecting Foundry to customer systems, including SAP, Oracle, Snowflake, Databricks, and cloud data services.
  • Translate bootcamp outcomes into priced statements of work, architectures, and 90-day plans with account executives, and hand a clean backlog to delivery.
  • Deliver executive briefings and readiness assessments to secure sponsorship and funding.
  • Build reusable accelerators, ontology patterns, and discovery templates for the relevant vertical.
  • Mentor sales and delivery engineers and feed field insight back to the Palantir alliance and practice leadership.

Desired Qualifications

  • Palantir certifications, cloud credentials, data engineering credentials, or master data management credentials.
  • Prior experience at Palantir, a Palantir partner, an AI startup, or a forward-deployed engineering team.
  • Agentic and retrieval-augmented generation architectures beyond AIP, and AI evaluation frameworks.
  • Full-stack and DevOps depth, including Node.js or Go, React or Vue, Docker, Kubernetes, continuous integration and continuous delivery, and Terraform.
  • Enterprise master data management, event streaming, and data observability platforms.
  • Knowledge graphs and semantic modeling, including RDF, OWL, or Neo4j.
  • Industry data standards for the relevant vertical, Human-Centered Design, and Jobs to Be Done.
  • A degree in Computer Science, Engineering, or a related field, or equivalent experience.

About the Company

Rackspace Technology

Managed multicloud cloud services and security

Rackspace Technology provides managed cloud services with a focus on multicloud solutions. It helps businesses adopt and transform their IT infrastructure across multiple cloud platforms (including AWS, Google Cloud, and Microsoft Azure) by handling cloud management, data services, and security. Its offerings include Rackspace Elastic Engineering, which gives on-demand engineering and support to help clients innovate and scale operations, with a particular emphasis on VMware environments. The company earns through subscription-based cloud management, consulting, and programs like Referral and Private Equity Partners. Unlike firms that specialize in a single cloud or DIY tooling, Rackspace combines multicloud management, on-demand engineering, data modernization, and security across multiple clouds to simplify IT operations for customers. Its goal is to enable organizations to optimize and secure their cloud environments so they can focus on their core business activities.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Antonio, TX
Founded
1998

Recently Posted Jobs

Explore more opportunities at Rackspace Technology

See more jobs