Amadeus Search
Role:
Software Engineer, Product Employment Type:
Full-time Location:
Hybrid - San Francisco, CA (3 days in-office, Mon-Wed) Compensation:
$150,000 - $230,000 + 0.2-0.5% equity Visa Sponsorship:
Available About the Role
This early-stage AI infrastructure startup is looking for a
Software Engineer, Product
to help build its next-generation data platform. As one of the first engineering hires, you'll work across the entire stack to deliver core functionality for an open-source data engine built for large-scale AI/ML workloads. You'll have the opportunity to shape both the product and company direction while working closely with world-class AI researchers and industry partners. What You Will Do Design and build new features for the company's distributed data engine, spanning APIs, dashboards, schedulers, and a Rust-based execution layer. Develop integrations with leading technologies in the data/AI ecosystem (e.g., Ray, Apache Iceberg, Delta Lake, Unity Catalog). Partner with AI labs, researchers, and early customers to understand their needs and translate them into product capabilities. Contribute beyond engineering-supporting infrastructure, customer engagement, and product design decisions. Operate in a fast-paced startup environment with broad responsibilities and high autonomy. What You Will Bring 5+ years of software engineering experience
(applications, distributed systems, databases, or cloud infrastructure). Proven track record of building and deploying products end-to-end. Hands-on experience with
0-1 product development or Greenfield projects
(founding engineer or equivalent). Strong ability to engage directly with users, gather requirements, and convert feedback into product roadmaps. Startup mindset: balancing speed and iteration with long-term scalability. Familiarity with
cloud platforms
(AWS, GCP, Azure, S3). Enthusiasm for working in small, focused teams with high ownership. Compensation & Perks Base salary:
$150,000 - $230,000 Equity:
0.2% - 0.5% Hybrid work policy:
3 days in-office (Mon-Wed) in San Francisco Visa sponsorship available Opportunity to join as an
early employee
with significant influence on product direction Why Join Us Be an early team member at a fast-growing startup tackling
one of the hardest problems in AI infrastructure . Work on a cutting-edge, open-source engine purpose-built for multimodal AI data (video, images, audio, text). Collaborate with leading researchers and practitioners in AI and distributed systems. High-impact role with
broad ownership and autonomy
in shaping the product and engineering culture. Strong funding and backing from top investors, providing stability and growth opportunities.
Software Engineer, Product Employment Type:
Full-time Location:
Hybrid - San Francisco, CA (3 days in-office, Mon-Wed) Compensation:
$150,000 - $230,000 + 0.2-0.5% equity Visa Sponsorship:
Available About the Role
This early-stage AI infrastructure startup is looking for a
Software Engineer, Product
to help build its next-generation data platform. As one of the first engineering hires, you'll work across the entire stack to deliver core functionality for an open-source data engine built for large-scale AI/ML workloads. You'll have the opportunity to shape both the product and company direction while working closely with world-class AI researchers and industry partners. What You Will Do Design and build new features for the company's distributed data engine, spanning APIs, dashboards, schedulers, and a Rust-based execution layer. Develop integrations with leading technologies in the data/AI ecosystem (e.g., Ray, Apache Iceberg, Delta Lake, Unity Catalog). Partner with AI labs, researchers, and early customers to understand their needs and translate them into product capabilities. Contribute beyond engineering-supporting infrastructure, customer engagement, and product design decisions. Operate in a fast-paced startup environment with broad responsibilities and high autonomy. What You Will Bring 5+ years of software engineering experience
(applications, distributed systems, databases, or cloud infrastructure). Proven track record of building and deploying products end-to-end. Hands-on experience with
0-1 product development or Greenfield projects
(founding engineer or equivalent). Strong ability to engage directly with users, gather requirements, and convert feedback into product roadmaps. Startup mindset: balancing speed and iteration with long-term scalability. Familiarity with
cloud platforms
(AWS, GCP, Azure, S3). Enthusiasm for working in small, focused teams with high ownership. Compensation & Perks Base salary:
$150,000 - $230,000 Equity:
0.2% - 0.5% Hybrid work policy:
3 days in-office (Mon-Wed) in San Francisco Visa sponsorship available Opportunity to join as an
early employee
with significant influence on product direction Why Join Us Be an early team member at a fast-growing startup tackling
one of the hardest problems in AI infrastructure . Work on a cutting-edge, open-source engine purpose-built for multimodal AI data (video, images, audio, text). Collaborate with leading researchers and practitioners in AI and distributed systems. High-impact role with
broad ownership and autonomy
in shaping the product and engineering culture. Strong funding and backing from top investors, providing stability and growth opportunities.