Business Analyst, Deploy Models

Hive AI; San Francisco (CA); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Stock options

Job summary

Deploy is seeking a Business Analyst for the Deploy Models team in San Francisco. You will work with ML, product, and business development to ensure successful client deployments through product configuration, project management, and client success.

You will serve as the point person for major client engagements, handling a range of responsibilities to ensure integration success and ongoing customer satisfaction. A strong technical background and client-facing experience are essential.

Qualifications

• 1–3 years of work experience in a Product Management or Engineering role at a technology or technology consulting company.
• Working knowledge of Python or Node.JS.
• Interdisciplinary/cross-functional experience; enterprise-technology, SaaS, client facing, or startup background valued.
• Distinctive problem-solving skills and impeccable business judgment.
• Excellent written and verbal communication skills.

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 customers by ensuring accuracy of technical configurations of ML models.
• Collaborate with product and other stakeholders to ensure customer needs are met, including resolving technical issues encountered by users.
• Collaborate with 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.

Skills

Python

Node.JS

Cross-functional collaboration

Communication

Problem solving

Education

Bachelor's or Master's in CS/Engineering/Math

Job description

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.