COMPANY INFO
Fireworks AI, Inc. was founded in 2022. The company is headquartered in Redwood City, California, and operates in the AI model management and software development industry. Fireworks AI specializes in providing a generative AI platform that empowers developers and businesses to run AI workloads with blazing speed, low latency, and optimized cost, enabling seamless scaling globally. The company was co-founded by Lin Qiao (CEO, previously Head of PyTorch at Meta), Benny Chen (previously Meta ads infra lead), Chenyu Zhao (previously Google Vertex AI Lead), Dmytro Dzhulgakhov (previously PyTorch core maintainer at Meta), Dmytro Ivchenko (previously PyTorch for ranking lead at Meta), James Reed (previously PyTorch compiler at Meta), and Pawel Garbacki (previously Meta Newsfeed core ML lead). Fireworks AI has between 11-50 employees and is privately held. Its website is https://fireworks.ai.
Fireworks AI, Inc. is a generative AI platform headquartered in Redwood City, California, specializing in enabling developers and enterprises to run and scale AI workloads with high speed, low latency, and cost efficiency. Founded in 2022, Fireworks AI empowers businesses to seamlessly orchestrate generative AI models with strong infrastructure and innovative compound AI solutions.
The Fireworks AI leadership team consists of veterans from Meta, Google, and leading AI startups, bringing deep expertise in large-scale machine learning, advanced compiler techniques, and robust SaaS operations. With a founder-driven approach and a focus on technical excellence, the management team leverages experience in AI framework development, product strategy, and scalable infrastructure to position Fireworks AI at the forefront of the AI model management industry.
Lin Qiao is the CEO and co-founder of Fireworks AI, Inc., responsible for driving the company's strategic vision and leading the development of its Generative AI platform. Lin has played a pivotal role in securing a $52 million Series B funding round, building partnerships, and accelerating Fireworks AI's product innovation and market expansion.
Lin holds a Ph.D. in Computer Science from the University of California, Santa Barbara, specializing in machine learning. Prior to founding Fireworks AI, she was the Head of PyTorch at Meta, leading core open-source framework development, and previously held senior engineering roles at Meta and LinkedIn, gaining deep expertise in large-scale AI systems that she now leverages in her CEO role.
As co-founder and early product architect, Benny Chen shaped Fireworks AI’s infrastructure strategy, spearheading the design of scalable systems to support high-throughput AI model serving. Benny’s contributions established the technical foundation for Fireworks AI’s robust and cloud-native architecture, which underpins its ability to meet enterprise demands.
Formerly Meta’s Ads Infrastructure Lead, Benny optimized large-scale ad-serving pipelines and developed significant expertise in distributed systems and cloud infrastructure. He holds a B.S. in Computer Science from Stanford University, bringing both leadership and technical depth to the Fireworks AI management team.
As founding CTO, Chenyu Zhao led Fireworks AI’s machine learning architecture, integrating Google Vertex AI advancements into the company’s model training and deployment workflows. Chenyu’s leadership has been instrumental in ensuring that the platform supports seamless AI operations at scale.
Before Fireworks AI, Chenyu directed the Vertex AI team at Google, where he drove key innovations in model orchestration. He holds an M.S. in Computer Science from Tsinghua University and brings a wealth of experience in scalable ML infrastructure to Fireworks AI’s executive leadership.
Dmytro Dzhulgakhov has overseen core model performance and optimization at Fireworks AI, spearheading latency reduction initiatives that deliver sub-100 ms inference across the platform’s services. His technical leadership has directly contributed to Fireworks AI’s competitive edge in low-latency AI serving.
Previously, Dmytro was a PyTorch core maintainer at Meta. He holds an M.S. in Computer Science from the Moscow Institute of Physics and Technology, specializing in compiler optimizations for deep learning frameworks, and he is recognized as an expert in AI model optimization.
Dmytro Ivchenko led the development of production-ranking models at Fireworks AI, implementing robust feature pipelines that improved recommendation relevance by 20%. His work has significantly enhanced the platform’s AI output quality and user experience.
Prior to joining Fireworks AI, Dmytro was the PyTorch for ranking lead at Meta and is an expert in real-time ML applications and recommendation systems. He holds a B.Eng. in Software Engineering from Kyiv Polytechnic Institute.
James Reed architected Fireworks AI’s compiler toolchain, enabling efficient model conversion and deployment, ultimately reducing operational costs by 15%. James’s innovations in system design have been pivotal for delivering scalable, production-ready AI solutions.
He was previously a PyTorch compiler engineer at Meta, and holds a B.S. in Computer Science from the University of Waterloo, with a focus on compiler design and performance engineering, strengthening the company’s technical leadership.
Pawel Garbacki built the core machine learning algorithms for Fireworks AI’s generative models, resulting in a 30% increase in developer adoption through improved sample quality and diversity. Pawel’s work is at the heart of Fireworks AI’s technological differentiation.
Previously, Pawel led Meta’s Newsfeed Core ML team and holds a Ph.D. in Computer Science from the University of Warsaw, with expertise in deep learning and probabilistic modeling, attributes that bolster Fireworks AI’s R&D capabilities.
Bardia Shahali, as VP of Sales, has expanded Fireworks AI’s enterprise customer base and driven 4× growth in annual recurring revenue across North America. His strategic approach to sales and customer engagement has fueled Fireworks AI’s rapid commercial growth.
Bardia was previously Head of Revenue at Roboflow and has served as an advisor at Explo and RudderStack. He holds a B.Fin. in Finance from York University, bringing expertise in SaaS go-to-market strategies and revenue operations to Fireworks AI management.
As Chief Product Officer, this executive leads Fireworks AI’s product strategy and roadmap, defining compound AI offerings to advance multi-model orchestration, expected to launch in Q4 2025. Their forward-thinking leadership supports the company’s push into next-generation AI product capabilities.
They have over 10 years in product leadership roles at prominent AI startups, hold an MBA from Harvard Business School and a B.S. in Computer Science from MIT, and have driven successful product launches in AI-driven B2B environments.
The CFO manages Fireworks AI’s financial strategy, overseeing budgeting, fundraising, and investor relations to ensure capital efficiency and compliance. Their stewardship has supported the company’s two major funding rounds and contributed to long-term fiscal sustainability.
Prior to joining Fireworks AI, they were Finance Director at a Series C SaaS company and are a Chartered Financial Analyst. They hold an M.S. in Finance from the London School of Economics, bringing financial expertise and proven leadership to Fireworks AI’s executive team.
The Fireworks AI leadership team is composed of seasoned executives with backgrounds at technology giants and elite academic institutions. United by their experience in AI research, large-scale infrastructure, and product development, the company’s founders and management team work collaboratively to drive innovation in generative AI. The management team’s strong track record in model optimization, product strategy, and commercial operations continues to set Fireworks AI apart in the competitive AI landscape.
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