Escalon Services · 3 weeks ago
Chief Technology Officer - Remote
Escalon Services is conducting a confidential search on behalf of an early-stage startup building an audience-intelligence platform for the entertainment industry using data and machine learning. The Chief Technology Officer will own the end-to-end technical architecture, build and validate the initial platform prototype, apply AI/ML to complex audience data, and build the technical team as the company grows.
Accounting
No H1B
Responsibilities
Own technical architecture end-to-end, building systems designed to scale over the long term rather than a one-off proof of concept
Build a working prototype of the company's audience-intelligence instrument within the first 6 months, validated against real data
Apply machine learning and data science to messy, unstructured, and often subjective human-preference data to identify meaningful behavioral patterns
Design data schemas and scoring frameworks for qualitative, variable inputs where clean structure doesn't already exist
Translate technical concepts clearly for non-technical stakeholders, including supporting the CEO in explaining the technology to prospective clients
Partner closely with the co-founders to shape the product roadmap and define the eventual consumer-facing product and client experience
Begin building and leading the technical team as the company scales past the initial build
Stay hands-on and flexible as the product and technical direction evolve based on early data and findings
Qualification
Required
Experience in early-stage AI/ML environments; 0-to-1 experience building and scaling systems from scratch is essential
Comfort working with messy, unstructured, or highly variable data, not just clean, well-structured pipelines
Experience with large language models (LLMs) and an interest in creative approaches to categorizing and scoring qualitative data
Strong communicator, able to explain complex technical concepts to non-technical audiences and collaborate closely with founders
Patient, collaborative, and open to significant input and questions from non-technical leadership; not a dogmatic engineer
Must be authorized to work in the United States on a full-time basis
Preferred
Background applying AI/ML to ambiguous, sparse, or subjective data, ideally in a recommendation-engine, matching-system, or behavioral-modeling context
Entertainment industry background is not required
Benefits
Remote work arrangement
Light travel (~5%), including occasional on-site trips
A modest signing bonus
Equity will be part of the total compensation package; specifics to be finalized
Direct access to top-tier relationships across the entertainment industry
Flat, open-door culture
Company
Escalon Services
Outsourced finance, HR, and tax services for growing companies.
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
New Harbor Capital
2022-10-25Private Equity
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