Product Manager, AI - Dragonfly Portfolio

United Statesfull-timemid

Product ManagementProduct Manager

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Quick Summary

Overview

Dragonfly is a crypto-native Venture Capital and research firm with $3.6B+ in assets under management and 160+ portfolio companies. Our Talent team connects people with roles across our portfolio,

Technical Tools

Product ManagementProduct Manager

Dragonfly is a crypto-native Venture Capital and research firm with $3.6B+ in assets under management and 160+ portfolio companies. Our Talent team connects people with roles across our portfolio, opening the door to opportunities through our Talent Network.

This is not a listing for an internal role at Dragonfly.

We’re actively sourcing for a Product Manager, Models at one of our portfolio companies building a large scale consumer AI platform. This is not an ML research role. You will own the model portfolio end to end, treating models as product lines and making strategic calls about selection, positioning, and the end-user experience across every surface.

Location: USA

What We Are Looking For:

5+ years in product management, ideally across infrastructure, dev tools, or AI/ML platforms
Real technical fluency, you can triage model and configuration issues before escalating to engineering
Comfort reasoning about unit economics, COGS, and cost/speed tradeoffs with incomplete data
Experience operating in fast moving environments where model releases land weekly
Comfortable with the tooling: APIs, inference systems, observability data, evaluation tooling
You align with the company’s product philosophy and can operationalize it
Bonus: experience with model configurations or AI infrastructure

About the Role:

Own the model portfolio end to end, decide what lives on the platform and what doesn’t
Define and maintain model tiering across multiple product tiers and product lines
Build the models-as-product operating system: launch processes, config standards, uptime SLAs, deprecation policies, runbooks
Drive reliability: define health standards, monitor uptime, triage incidents, lead post-mortems, and track key inference performance metrics
Be the single source of truth on the model landscape, track provider changes, pricing shifts, and new releases
Own model strategy per product, map models to use cases across every product surface
Turn evaluation results, usage patterns, and customer feedback into roadmap recommendations
Work across Engineering, API, BI, Product, and Marketing, make strategic calls and ensure they ship

Process:

We’ll confidentially match you with portfolio companies aligned with your experience, focus, and interests
If mutual interest exists between you and a team, we’ll facilitate a warm introduction
If there isn’t a match today, we’ll keep you top of mind for future opportunities

Compensation

Early: $95,000–$130,000
Mid: $130,000–$190,000
Senior: $180,000–$250,000

The compensation range reflects variation by seniority, location, and hiring company. Final compensation is confirmed with the specific hiring company.

Please submit your information below, and we’ll be in touch if there is a potential fit.