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Open nowPosted yesterday

Forward Deployed Palantir Solutions Lead

Rackspace Technology55 open roles

Pay
$192,610 a year
Where
US-Work from Home
Work mode
Remote
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Your applicationOpen nowForward Deployed Palantir Solutions LeadRackspace Technology · US-Work from Home

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Rackspace Technology postings stay open a median of 31 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted yesterday

Rackspace Technology median: 31 days open

The posting

As a Forward Deployed Palantir Solutions Lead at Rackspace Technology, you will own the AI and data strategy for a portfolio of strategic enterprise accounts in either Healthcare, BFSI, Manufacturing, or Logistics/Supply Chain verticals, supporting existing customers and net-new pursuits alike. Embedded with the customer's operational and financial leadership, you will run scope-to-build bootcamps on Palantir Foundry and AIP that turn a real business problem and real customer data into a working proof of value and a funded engagement. The role combines sales engineering, product discovery, Palantir solution leadership and data architecture, and sits within Sales Engineering in the Data & AI organization.

Work Location and Travel: United States of America

- Candidates who live in the San Antonio, TX area will work a hybrid schedule with two days in the office.

- If you are not located near San Antonio, TX, this position may be worked 100% from home.

- Travel up to 50% per business requirements for on-site customer engagements.

"Remote postings are limited to candidates residing within the country specified in the posting location."

Key Responsibilities

  • Serve as the primary technical advisor to operational executives on your greenfield pursuits and existing accounts, bringing their technical leadership into the work.
  • Own the technical account plan: the use-case roadmap, the target architecture on Foundry and AIP, and the path from first bootcamp to enterprise-wide adoption.
  • Lead discovery through non-leading interviews, event storming, journey mapping, and requirements elicitation to select the use case worth building first.
  • Own and prioritize the bootcamp and production backlogs; hold scope to what delivers business value within the engagement window.
  • Plan and lead one-week scope-and-build bootcamps with customer teams, directing FDEs and delivery engineers on what to build and why.
  • Build prototypes hands-on in Pipeline Builder, Ontology, Workshop, AIP Logic, and OSDK, with AI FDE and other LLM-based tools where speed or ambiguity demands it.
  • Design the ontology, integration, and governance patterns that connect Foundry to the customer's estate: 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 that secure sponsorship and funding.
  • Build reusable accelerators, ontology patterns, and discovery templates for your vertical.
  • Mentor sales and delivery engineers and feed field insight back to the Palantir alliance and practice leadership.

Required Qualifications

  • High School Diploma or regional equivalent required
  • Bachelor's Degree required, preferably in Computer Science. At the manager’s discretion, additional relevant experience may substitute for the degree requirement
  • 12+ years in data engineering, data architecture, or enterprise AI delivery, including 6+ years in a customer-facing or field role.
  • Hands-on Palantir Foundry and AIP experience (Pipeline Builder, Ontology, Workshop, AIP Logic or OSDK), with the ability to build a working prototype independently.
  • Experience running time-boxed build-with-the-customer engagements (bootcamps, hackathons, one-week POCs) that led to signed or expanded deals.
  • Demonstrated product discovery and product ownership practice: 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: Snowflake or Databricks, a major cloud platform, CDC, and master-data concepts.
  • Strong Python and SQL; working knowledge of PySpark and TypeScript.
  • Deep domain expertise in Healthcare, BFSI, Manufacturing, or Logistics/Supply Chain verticals: their systems of record, data standards, and regulatory constraints.
  • Trusted-advisor relationships with operational and financial executives and their technology leadership; 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.

Preferred Qualifications

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

#LI-Remote

#LI-AW1

Our compensation reflects the cost of labor across several geographic markets. The compensation range for this position ranges from $192,610.00/year in our lowest geographic market up to 338,993.60 USD/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Learn more about benefits at Rackspace.

About Rackspace Technology

Rackspace Technology is the trusted operator of the full enterprise AI stack, from governed private cloud to AI inference and agents in production. From edge to core to cloud, we operate the infrastructure, data layer, and software integration to deliver business outcomes with the predictable cost, reliability, security, and compliance that regulated and mission-critical environments demand. We support customers in more than 120 countries with AI capabilities spanning private cloud, public cloud, applications, data and cyber resilience.

More on Rackspace Technology

Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

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