OpenAI vs Palantir Nov 7 FDE boards: 37 vs 73 Forward Deployed titles, $185K–$300K SF vs $135K–$200K NY

On 7 November 2026, AI Native compared official careers boards for the two companies that set the Forward Deployed Engineer template: OpenAI’s Ashby board listed 37 roles under the Forward Deployed Engineering department (out of 820 total openings), while Palantir’s Lever board listed 73 titles containing “Forward Deployed” plus 30 Deployment Strategist seats (out of 305).

The boards define the job differently. OpenAI’s San Francisco FDE posting frames the role as turning research breakthroughs into production systems, measured by production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps; it asks for roughly 5+ years of customer-facing engineering or technical deployment experience, LLM system build/deploy experience, and up to 50% travel on a hybrid schedule. Palantir’s New York Forward Deployed Software Engineer (FDSE) posting calls the seat “the blueprint,” asks for 1+ years of post-graduate experience plus strong coding, caps travel at about 25% (flexible), and pairs Delta FDSE engineers with Echo Deployment Strategists who surface customer questions rather than write the core code.

Posted US base pay on the snapshot was $185K–$300K (plus equity) for OpenAI’s SF FDE and $135,000–$200,000 for Palantir’s NY FDSE; OpenAI’s NYC Manager band reached $302K–$385K. Tokyo seats exist at both firms—OpenAI lists FDE, Deployment Lead, and Manager; Palantir lists Japan Government and Japan Forward Deployed FDSE/Strategist roles—but most omit pay, and most require bilingual Japanese and English. Palantir’s government-facing Japan seats also call for security clearance or the ability to obtain it.

For FDEs and hiring managers, the piece is the baseline board read that Anthropic, Scale AI, Salesforce, and Cohere comparisons later reference: same title, very different experience bars, travel loads, role splits, and how success is written into the posting.