← fireworksai / Forward Deployed Product Manager
application_answers / art_lvhlsLvQh-U
role
model
anthropic/claude-sonnet-4.6
created
2026-05-29T20:10
Content
{
"answers": [
{
"question": "Preferred First Name",
"answer": "Felix"
},
{
"question": "Work Authorization: Are you authorized to work in the US?",
"answer": "Yes, I am a US Citizen or Green Card holder \u2014 my resume lists a US address and work history spanning 12+ years at US-based companies without any indication of visa dependency."
},
{
"question": "Can you work full-time on-site at our San Mateo office (Monday through Friday)?",
"answer": "Yes"
},
{
"question": "Why are you interested in Fireworks AI?",
"answer": "Fireworks AI sits at exactly the intersection where my work has been converging: high-throughput LLM inference infrastructure and the developer tooling that makes it usable at scale. At Intuit I scaled the ICE platform to 675M+ engagements and 50K TPS, and I know firsthand how much inference latency and API ergonomics matter to the engineers building on top of a platform. More recently I built an RL post-training workbench that benchmarks GRPO and DPO across TRL, VeRL, OpenRLHF, and NeMo RL \u2014 so I have a hands-on understanding of the model-side constraints that make fast, reliable inference infrastructure non-negotiable. The FDPM role appeals to me specifically because it pairs deep customer engagement with direct influence on the product roadmap, which mirrors how I operated at Intuit and Splunk: translating developer pain points into prioritized platform investments. Fireworks being founded by Meta PyTorch and Google Vertex AI veterans, and independently benchmarked as the inference speed leader, means the technical bar is real \u2014 and that's the environment where I do my best work."
}
],
"skipped": [
"First Name",
"Last Name",
"Email",
"Phone",
"Resume/CV",
"Cover Letter",
"LinkedIn Profile",
"Website",
"If offered a position, what is your ideal start-date? ",
"Do you have any initial compensation expectations? "
]
}