Course5 Intelligence - Forward Deployed Engineer - Palantir Foundry

Were looking for a growth-oriented FDE with strong hands-on Palantir Foundry expertise and experience across Commercial, Marketing, CRM & Digital Growth.

Location : Bengaluru/Gurugram/Mumbai/Coimbatore

Preferred : Immediate Joiners

Responsibilities :

• Partner with Commercial, Marketing, Growth, and Sales leaders to identify customer and revenue growth opportunities.

• Translate ambiguous business problems into data-driven products, applications, and workflows using Palantir Foundry.

• Build and productionize Foundry Ontology, Workshop applications, data pipelines, transforms, and operational workflows.

• Integrate and activate data across CRM, customer, sales, marketing, social, media, digital, campaign, and transactional platforms.

• Develop rapid prototypes and experiments, gather business-user feedback, and iterate quickly.

• Use analytics and AI to identify customer opportunities, growth levers, and actionable recommendations for business teams.

• Define and test growth hypotheses and measure outcomes across acquisition, conversion, engagement, retention, and revenue.

• Work directly with senior stakeholders to translate business requirements into scalable technical solutions.

• Drive solutions through the full lifecycle from concept and prototype to production, adoption, and measurable business impact.

• Continuously identify new opportunities where data, AI, and technology can improve commercial and marketing performance.

Required Skills :Technical :

• Strong hands-on experience with Palantir Foundry.

• Proven experience with Foundry Ontology, Workshop, data pipelines/transforms, and operational workflows.

• Strong Python and SQL skills.

• PySpark experience preferred.

• Experience integrating data from CRM, marketing, sales, digital, social/media, and enterprise platforms.

• Experience building business-facing data products and applications.

• Exposure to Palantir AIP and AI/LLM-enabled workflows is highly desirable.

• Strong understanding of data modeling, analytics, and production data solutions.

• Strong understanding of digital growth, CRM, customer journeys, marketing analytics, and commercial analytics.

• Familiarity with metrics including CAC, conversion, engagement, retention, LTV, ROAS, campaign effectiveness, price elasticity, promotion effectiveness, product mix, net revenue, gross margin, and trade spend.

• Strong experimentation and hypothesis-driven problem-solving mindset.

• Ability to identify opportunities from data and translate insights into business actions and measurable outcomes.

• Strong stakeholder management and communication skills, with the ability to work directly with senior Commercial and Marketing leaders.

• Ability to operate effectively in ambiguous, fast-paced, client-facing environments.