Business Analyst, Deploy Models
- Salary
- $80,000 - $100,000
- Level
- Junior
- Work type
- On-site · San Francisco
Not stated in the posting: visa.
Open. First seen 22 October 2026.
About the role
About Deploy
Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughout. Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection.
Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.
Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.
Business Analyst, Deploy Models
As a Business Analyst on the Deploy Models team, you will work closely with our Machine Learning, Product, and Business Development teams to ensure successful client deployments of our products. A mix of product configuration, project management, and client success, this is a unique role that demands both technical competence as well as client management abilities. You will serve as the point person for major client engagements, taking on a wide range of responsibilities to ensure integration success.
Responsibilities
- Collaborate with engineering teams to ensure successful technical deployments
- Write scripts to analyze technical performance of production machine learning models
- Analyze customer submissions, data, and results to understand desired changes to the machine learning models
- Generate APIs for use by customers by ensuring accuracy of the technical configurations of the machine learning models
- Collaborate with the product team and other stakeholders to ensure customer needs are met, including resolving any technical issues that users run into while accessing our machine learning models
- Collaborate with the product and engineering teams as needed for other technical aspects of product deployment with customers
- Maintain awareness of industry best practices for data maintenance handling as it relates to your role
- Adhere to policies, guidelines and procedures pertaining to the protection of information assets
- Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements
- You have a bachelor's or graduate degree in Computer Science or a related field, such as Engineering or Mathematics
- You have 1-3 years of work experience in a Product Management or Engineering role at a technology or technology consulting company
- You have working knowledge of functional programming languages such as Python or Node.JS
- You have experience in an interdisciplinary/cross-functional field. Added points for enterprise-technology, SaaS, client facing, or start-up experience
- You have distinctive problem-solving skills and impeccable business judgment
- You possess excellent written and verbal communication skills
Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Deploy, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Deploy and we hope to meet you soon!
The current expected base salary for this position ranges from $80,000 - $100,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
What this role asks for
Particular to this role
LLM
Rare in Hive's other 42 open postings.
Standard for data / BI analysis roles
Python
Common in data / BI analysis postings at any company.
Compared with Hive's other open jobs.
The team: Product & Engineering HIRES STEADILY
This role is one of 71 open in Product & Engineering. 36 were posted in the last 30 days and the oldest in November: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (39 of 71), LLM (34 of 71), OWASP (34 of 71), Node.js (29 of 71), Python (27 of 71), JavaScript (26 of 71), Deep Learning (20 of 71)
OTHER ROLES ON THIS TEAM
- Frontend Engineer posted Oct 22
- Software Engineer - Frontend posted Oct 15
- Software Engineer - Frontend posted Oct 15
- UI / UX Designer posted Oct 15
- Systems Engineer / DevOps posted Oct 15
- Machine Learning Engineer posted Oct 15
- Staff Software Engineer - Backend posted Oct 15
- Staff Software Engineer - Backend posted Oct 15
- Forward Deployed Software Engineer posted Oct 15
- Staff Machine Learning Engineer posted Oct 15
- Engineering Manager posted Oct 15
- Staff Machine Learning Engineer posted Oct 15
- Engineering Manager posted Oct 15
- Data Center Technician posted Oct 15
- Associate Product Manager, Deploy Models posted Oct 15
- Software Engineer - Backend posted Oct 15
- Software Engineer - Backend posted Oct 15
- Senior Software Engineer - Frontend posted Oct 15
- Senior Software Engineer - Frontend posted Oct 15
- Senior Software Engineer - Backend posted Oct 15
- Senior Site Reliability Engineer posted Oct 15
- Senior Site Reliability Engineer posted Oct 15
- Senior Software Engineer - Backend posted Oct 15
- Senior Site Reliability Engineer posted Oct 15
- Senior Machine Learning Engineer posted Oct 15
- Senior Machine Learning Engineer posted Oct 15
- Security Engineer posted Oct 15
- Security Engineer posted Oct 15
- Product Manager, Deploy Models posted Oct 15
- Product Manager, Deploy Data posted Oct 15
- Product Manager, Consumer Applications posted Oct 15
- Product Manager, AutoML posted Oct 15
- Machine Learning Manager posted Oct 15
- Machine Learning Manager posted Oct 15
- Machine Learning Engineer posted Oct 15
- Associate Product Manager, Hive Models posted Jul 23
- Forward Deployed Software Engineer posted Feb 13
- Product Manager, AutoML posted Feb 27
- Product Manager, Consumer Applications posted Feb 27
- Data Center Technician posted Feb 9
- Staff Software Engineer - Backend posted Apr 21
- Staff Machine Learning Engineer posted Apr 21
- Software Engineer - Backend posted Apr 21
- Senior Software Engineer - Backend posted Apr 21
- Senior Site Reliability Engineer posted Apr 21
- Senior Machine Learning Engineer posted Apr 21
- Senior Software Engineer - Frontend posted Apr 21
- Security Engineer posted Apr 21
- Machine Learning Manager posted Apr 21
- Machine Learning Engineer posted Apr 21
- Software Engineer - Frontend posted Apr 21
- Engineering Manager posted Apr 21
- Senior Site Reliability Engineer posted Apr 20
- Machine Learning Manager posted Jan 24
- Senior Machine Learning Engineer posted Dec 10
- Staff Machine Learning Engineer posted Dec 10
- Senior Software Engineer - Frontend posted Nov 23
- Senior Software Engineer - Backend posted Nov 23
- Staff Software Engineer - Backend posted Nov 23
- Product Manager, Hive Models posted Jun 22
- Security Engineer posted May 6
- Systems Engineer / DevOps posted Jan 15
- Software Engineer - Backend posted Jan 15
- Product Manager, Hive Data posted Jan 15
- Machine Learning Engineer posted Jan 15
- Software Engineer - Frontend posted Jan 15
- Engineering Manager posted Jan 15
- Business Analyst, Hive Models posted Jan 15
- UI / UX Designer posted Nov 13
- Frontend Engineer posted Nov 13
From the team and dates on Hive's own job board.
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