Forward Deployed Palantir Solutions Lead

Rackspace Technology

12d • $192,610 - $338,994 • Hybrid

About The Position

As a Forward Deployed Palantir Solutions Lead at Rackspace Technology, you will own AI and data strategy for a portfolio of strategic enterprise accounts in Healthcare, BFSI, Manufacturing, or Logistics/Supply Chain. You will support existing customers and new pursuits, working alongside customer operational and financial leadership. You will lead scope-to-build bootcamps using Palantir Foundry and AIP to turn business problems and customer data into proofs of value and funded engagements. The role combines sales engineering, product discovery, Palantir solution leadership, and data architecture within Sales Engineering in the Data & AI organization.

The position is based in the United States. Candidates near San Antonio, Texas, work a hybrid schedule with two days in the office; candidates elsewhere may work fully from home. Travel of up to 50% may be required for on-site customer engagements.

Compensation ranges from $192,610.00 per year in the lowest geographic market to $338,993.60 per year in the highest geographic market. The compensation package may also include annual bonus or other incentive opportunities, equity awards, and an Employee Stock Purchase Plan. Pay varies by location and job-related knowledge, skills, and experience.

Requirements

• High school diploma or regional equivalent.
• Bachelor's degree required, preferably in Computer Science; at the manager’s discretion, additional relevant experience may substitute for the degree requirement.
• 12 or more years in data engineering, data architecture, or enterprise AI delivery, including at least 6 years in a customer-facing or field role.
• Hands-on experience with Palantir Foundry and AIP, including Pipeline Builder, Ontology, Workshop, AIP Logic, or OSDK, and ability to independently build a working prototype.
• Experience running time-boxed build-with-the-customer engagements, such as bootcamps, hackathons, or one-week proofs of concept, 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 (SAP, Oracle, Epic, or equivalent) and the modern data stack, including Snowflake or Databricks, a major cloud platform, CDC, and master-data concepts.
• Strong Python and SQL skills; working knowledge of PySpark and TypeScript.
• Deep domain expertise in Healthcare, BFSI, Manufacturing, or Logistics/Supply Chain, including relevant systems of record, data standards, and regulatory constraints.
• Trusted-advisor relationships with operational and financial executives and their technology leadership, along with strong 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.

Nice To Haves

• Palantir certifications or cloud, data engineering, or MDM credentials.
• Prior experience at Palantir, a Palantir partner, an AI startup, or a forward-deployed engineering team.
• Experience with agentic and RAG architectures beyond AIP and AI evaluation frameworks.
• Full-stack and DevOps depth, including Node.js or Go, React or Vue, Docker, Kubernetes, CI/CD, and Terraform.
• Experience with enterprise MDM, event streaming, and data observability platforms.
• Knowledge of knowledge graphs and semantic modeling, including RDF, OWL, or Neo4j.
• Knowledge of industry data standards for the relevant vertical, Human-Centered Design, and Jobs to Be Done.
• Degree in Computer Science, Engineering, or a related field, or equivalent experience.

Responsibilities

• Serve as primary technical advisor to operational executives on greenfield pursuits and existing accounts, engaging customer technical leadership.
• Own the technical account plan, including the use-case roadmap, target architecture on Foundry and AIP, and path from initial bootcamp to enterprise-wide adoption.
• Lead discovery through non-leading interviews, event storming, journey mapping, and requirements elicitation to identify the first use case to build.
• 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 hands-on prototypes using Pipeline Builder, Ontology, Workshop, AIP Logic, and OSDK, and use AI FDE and other LLM-based tools when useful.
• Design ontology, integration, and governance patterns connecting Foundry with customer systems and data services, 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, then hand off a clear 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 industry vertical.
• Mentor sales and delivery engineers and relay field insight to Palantir alliance and practice leadership.

Benefits

• Annual bonus or other incentive compensation opportunities
• Equity awards
• Employee Stock Purchase Plan (ESPP)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior