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Growth Operator

Job Overview

Location

San Francisco

Job Type

Full-time

Category

Sales

Date Posted

April 11, 2026

Full Job Description

đź“‹ Description

  • • As a Growth Operator at Distyl AI, you will be a technical growth leader responsible for opening new vertical markets from scratch by identifying high-value segments, building pipeline, and shaping how the platform is packaged for each new market.
  • • Day to day, you will identify and prioritize new vertical markets, build outbound pipeline from zero through cold outreach and network activation, run full-cycle discovery and qualification with enterprise buyers, develop tailored positioning and quantitative models, map platform capabilities to vertical-specific workflows, partner with engineering and product to scope deployments, build technical demos and ROI frameworks, synthesize prospect learnings into vertical strategy, conduct competitive analysis, create pitch decks and battle cards, and align cross-functional stakeholders around go-to-market priorities.
  • • Distyl is an applied AI technology company partnering with ambitious institutions to rearchitect critical operations for the frontier of AI, serving clients in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations, backed by top-tier investors and known for 100% production deployment success and profitability.
  • • In this role, you will develop deep expertise in enterprise AI sales, gain experience building go-to-market strategies for new industries, strengthen your ability to translate technical capabilities into business value, and own high-impact projects that shape the company’s growth trajectory across top enterprises.

Skills & Technologies

Hybrid
$160k-220k

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Distyl Inc.
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About Distyl Inc.

Distyl is a cloud-native platform designed to simplify and accelerate the development and deployment of machine learning (ML) models. It provides a unified environment for data preparation, model training, versioning, and deployment, enabling data scientists and ML engineers to move from experimentation to production faster. The platform offers features such as automated data pipelines, managed training infrastructure, and scalable model serving. Distyl aims to reduce the complexity and operational overhead associated with MLOps, allowing organizations to focus on building and deploying impactful ML solutions. It supports various ML frameworks and integrates with existing cloud infrastructure.

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