Deployment Strategist
US Government
Updated on 11/30/2023
Palantir

1,001-5,000 employees

Software for human-driven analysis of real-world data
Company Overview
Palantir is committed to helping organizations get value out of their data while protecting sensitive information from misuse and abuse.
Financial Services
Data & Analytics
Industrial & Manufacturing
Energy

Company Stage

IPO

Total Funding

$3.7B

Founded

2003

Headquarters

Denver, Colorado

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

33%
Locations
Remote in USA • United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
R
SQL
Python
MATLAB
CategoriesNew
Data & Analytics
Responsibilities
  • Go onsite and meet with customer analysts to understand the critical questions they need to answer and locate their biggest pain points.
  • Identify relevant datasets through deep engagement with customer problems and workflows, and work with Forward Deployed Engineers to integrate the data into a stable and extensible pipeline.
  • Work with the customer to build bespoke workflows for new user groups.
  • Lead training sessions to ensure that the product is meeting user needs, and to ensure it is being used widely enough to have concrete impact on our partners' operations.
  • Present the results of our work and proposals for future work to audiences ranging from analysts to C-suite executives.
  • Embed with our Software Engineering and Product Design teams to incorporate what you saw in the field into cross-Palantir product offerings.
  • Build and deliver demos to new and existing customers.
  • Scope out potential engagements in new industries and in increasingly expanding locations around the world.
Desired Qualifications
  • Extraordinary ability to take on open-ended problems in unstructured environments.
  • Adaptive and introspective; willing to learn, teach, lead and follow.
  • Ability to travel 25 – 75% required. Varies by location and team.
  • Experience with programming, scripting or statistical packages (e.g. Python, R, Matlab, SQL) is a plus.