Forward Deployed Engineer (FDE) – Palantir Foundry
Role Overview
We are looking for a growth oriented Forward Deployed Engineer (FDE) who combines strong hands-on Palantir Foundry capabilities with a deep understanding of Commercial, Marketing, CRM and Digital Growth.
We are looking for someone who thinks like a growth hacker and builds like an FDE — someone who understands how businesses acquire, engage, convert and retain customers, and can use data, AI and Palantir Foundry to rapidly turn growth ideas into working solutions.
The ideal candidate is equally comfortable discussing customer journeys, CRM, social/media performance, campaigns and commercial growth opportunities with business teams and then getting hands-on to build the required data products, applications and workflows in Foundry.
What You Will Do
Partner directly with Commercial, Growth and Marketing leaders to identify opportunities to improve customer acquisition, engagement, conversion and revenue growth. Translate loosely defined growth opportunities into data-driven products and workflows using Palantir Foundry.
Connect and activate data across CRM, customer, sales, social, media, campaign and transactional platforms.
Build rapid prototypes and experiments, put them in the hands of business users, measure results and iterate quickly.
Develop data pipelines, Ontologies, applications and operational workflows within Foundry.
Apply analytics and AI to identify customer opportunities and recommend actions for Sales and Marketing teams.Work across business and technology teams, taking ownership from idea → prototype → deployment → adoption → measurable business impact.
Bring a strong experimentation mindset — continuously identifying new ways in which data and technology can drive growth.
What We Are Looking For
Growth & Business Acumen
Strong understanding of digital growth, CRM, customer journeys, social/media, marketing analytics, and revenue growth management.
Ability to identify growth opportunities from data rather than simply execute predefined requirements.
Familiarity with key commercial, RGM and marketing concepts/metrics such as CAC, conversion, funnel performance, engagement, retention, LTV, ROAS, campaign effectiveness, price elasticity, promotion effectiveness, product mix, net revenue, gross margin, trade spend etc..
Strong experimentation mindset with the ability to formulate hypotheses, test ideas, measure impact and iterate.
Comfortable working directly with senior Commercial and Marketing stakeholders.
Palantir / Technical Capability
Strong hands-on experience with Palantir Foundry, ideally in a client-facing or business-facing environment.
Experience building production solutions using Foundry Ontology, Workshop, data pipelines/transforms and operational workflows.
Strong Python and SQL skills; PySpark experience preferred.
Ability to integrate data from CRM, marketing, social, digital and enterprise data platforms.
Experience building data products and applications that are directly consumed by business users.
Exposure to Palantir AIP and AI/LLM-enabled workflows is highly desirable.
Ideal Candidate Profile
We are particularly interested in candidates who sit at the intersection of: Growth /
Marketing Technologist + Commercial Problem Solver + Palantir FDE
You might currently be a Forward Deployed Engineer, Palantir Consultant, Growth/Data Engineer, Marketing Technology Engineer, Customer Analytics Engineer or Solutions Engineer. Your title matters less than your ability to combine commercial curiosity, growth thinking and hands-on technical execution.
What Great Looks Like
A Commercial or Marketing leader should be able to come to you with a question such as:
“We need to grow this customer segment — where are the opportunities and what should we do differently?”
You should be able to explore the data, develop hypotheses, connect CRM/social/media/customer
signals, identify opportunities, rapidly build the solution in Foundry and work with the business to test whether it drives growth.
We are looking for someone who doesn’t stop delivering a dashboard or data pipeline.
They identify the opportunity, build the solution, experiment, measure the outcome and keep iterating.