Web3 AI Trading Jobs in San Francisco, United States

The Mission

You will be architecting partnerships that define the future of market data infrastructure for AI. Pyth Pro is institutional-grade market data designed for the next generation of buyers: AI companies, quant funds, and trading desks running AI-powered strategies.

Your role is to be the primary bridge between Pyth Pro and the US institutional AI market. You'll identify, pitch, and close partnerships with tier-1 AI firms, hedge funds and prop trading firms who need reliable, low-latency market data infrastructure.

You'll own both the supply side (onboarding market makers and data publishers who feed Pyth Pro) and the demand side (scaling adoption with institutional buyers who depend on Pyth Pro).Location: San Francisco Remote About Our Team and Your Role

We are a well-rounded team: half of us are tech whizzes, while the other half excel in building partnerships with institutional clients, prime brokers, and the global financial infrastructure community. Communication is key to our network-driven approach.

Remote Work: Our team is spread across the globe, from the US and South America to Europe and Asia. We are a digital-first organization where remote work is the norm.

Startup-level Speed: We thrive in the dynamic DeFi space and love adaptable problem solvers who are eager to meet the evolving needs of the market. We're scaling institutional adoption across EMEA, APAC, and now the US AI market.

Your Responsibilities

Build Supply (Market Makers & Data Publishers)

• Identify and onboard 30+ tier-1 market makers and institutional data publishers to contribute high-quality data into the Pyth Pro network.

• Structure partnerships, negotiate terms, manage relationships, and design incentive models that drive sustained ecosystem participation.Scale Demand (AI Firms & Institutional Buyers)

• Build and manage a pipeline with AI companies, trading firms, hedge funds, and asset managers.

• Run the full sales cycle from discovery through deal closure and implementation.

• Close partnerships with buyers who require premium, low-latency data feeds.

• Communicate both technical and economic value propositions to sophisticated institutional buyers.

Market Strategy & Ecosystem

• Develop GTM playbooks and sales processes specific to the US institutional AI market.

• Identify market gaps and competitive opportunities.

• Represent Pyth Pro at key industry events.

• Maintain a pulse on competitive landscape and institutional buyer behavior.

Who We're Looking For

Professional Background

• 5-8 years selling enterprise data and infrastructure products at Databricks, Snowflake, Stripe, Figma, or similar companies

• 2+ years building and managing relationships with institutional buyers (hedge funds, quant funds, prop trading firms)

• Proven track record closing complex deals worth $1M-$5M+

• Based in San Francisco

Core Competencies

• Enterprise infrastructure sales and deal structuring

• Deep understanding of institutional markets (how tier-1 buyers evaluate, procure, and integrate new infrastructure)

• GTM experience scaling SaaS/Cloud products to institutional buyers

• Ability to understand AI/ML workflows and institutional trading infrastructure quickly (learnable, but strong plus if you have it)

• Relationship building at C-level with technical and business stakeholders

Mindset

• Entrepreneurial operator comfortable building from zero in a new market

• Hunger to establish yourself in the institutional AI ecosystem

• Motivated by autonomy, ownership, and equity upside

• Genuine interest in the intersection of AI, institutional finance, and decentralized infrastructure

About Pyth Pro

Institutional market data infrastructure for decentralized finance. Instead of relying on legacy data providers with vendor lock-in and latency constraints, Pyth connects institutional buyers directly to market maker data publishers on-chain.

The opportunity: AI firms need reliable market data. Institutional traders need better infrastructure. Pyth Pro is the answer.If that sounds like you, we want to hear from you!Press Apply and Join the team

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