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How much do decision developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for decision developer in the United States is $15.50, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $15.62 per hour, depending on experience, location, and employer.

What is a Decision Developer?

A Decision Developer is a professional who specializes in designing, building, and implementing decision logic within business systems. They often work with decision management tools and platforms to automate business rules, policies, and processes. Their role involves analyzing requirements, creating decision models, and ensuring that automated decisions align with organizational goals. Decision Developers typically collaborate with business analysts, software developers, and stakeholders to optimize decision-making processes. This position is common in industries that rely heavily on data-driven or rule-based decisions, such as finance, insurance, and healthcare.

What are the key skills and qualifications needed to thrive as a decision developer?

To thrive as a Decision Developer, you need a strong understanding of decision modeling, business rules management, and analytical thinking, typically backed by a degree in computer science, information systems, or a related field. Familiarity with decision management systems such as IBM ODM, Drools, or FICO Blaze Advisor, and relevant certifications, is often required. Strong communication, problem-solving abilities, and the capacity to collaborate with business stakeholders are standout soft skills. These competencies ensure that complex business logic is accurately modeled and automated, leading to effective and efficient decision-making processes within organizations.

How does a decision developer typically collaborate with other teams within an organization?

Decision Developers regularly work alongside business analysts, data scientists, and IT teams to design and implement automated decisioning systems. They translate business requirements into decision models, ensuring that these models are both technically sound and aligned with organizational goals. Collaboration often involves frequent meetings to refine rules, validate outcomes, and troubleshoot integration issues. This cross-functional teamwork is essential for maintaining the accuracy and effectiveness of business decision engines.

What is the difference between Decision Developer vs Data Analyst?

AspectDecision DeveloperData Analyst
Required CredentialsTypically requires programming skills, data modeling, and business analysis certificationsOften requires statistical, analytical, and data visualization certifications or degrees
Work EnvironmentWorks closely with business teams to develop decision models and automation toolsAnalyzes data sets to identify trends and generate reports for decision-making
Employer & Industry UsageUsed in industries like finance, insurance, and consulting for decision automationCommon across healthcare, marketing, finance, and retail for data insights

Decision Developers focus on creating automated decision models and integrating data-driven solutions, often requiring programming and business analysis skills. Data Analysts primarily interpret data, generate reports, and provide insights. While both roles work with data, Decision Developers are more involved in building decision-making tools, whereas Data Analysts focus on analyzing and visualizing data to inform decisions.

What are popular job titles related to Decision Developer jobs?

For Decision Developer jobs, the most frequently searched job titles are:

Decision Engineer, Compute Production

Manhattan, NY • On-site

Fluidstack
See more jobs at Fluidstackexternal

$150 - $200/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Job description

About Fluidstack

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.

We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.

We hire people who care deeply about this problem space. If that is you, please apply!

Overview:

We are hiring Decision Engineers (AI Software Engineers) for the Compute Production team within Decision Engineering, building decision systems for the compute production flow. Decision Engineers serve as an internal force multiplier, building AI-powered tools and decision systems that make every team member significantly more productive. You'll work directly with the compute production teams to identify high-impact opportunities for AI augmentation, then ship tools that drive measurable productivity gains. This is a unique opportunity to define how a fast-growing infrastructure company integrates AI into every aspect of its operations.

Responsibilities:
  • Build decision systems and internal tools leveraging frontier models that make the compute production flow significantly more productive
  • Own tools end to end, from conception through production, iterating directly with the people who use them
  • Design and maintain shared AI infrastructure including AGENTS.md and SKILLS.md, and build shared skills for the organization
  • Build custom integrations between LLMs and internal systems (Slack, GitHub, internal APIs, operational data)
  • Stay current with rapidly evolving AI capabilities and proactively identify new opportunities to apply emerging techniques
Requirements:
  • 3+ years of software engineering experience with production-grade code in Go, Python, and TypeScript (and the ability to work in an arbitrary language, primarily driving AI coding tools)
  • Strong full-stack development skills building web applications (React, Next.js, or similar frameworks)
  • Hands-on experience building applications with LLM APIs (OpenAI, Anthropic, or open-weight models), creating and using MCP servers, and agentic frameworks
  • Daily, demonstrable use of AI coding agents (Claude Code, Cursor, or similar) with concrete examples of tools and skills you have built
  • Proven ability to work autonomously: identifying problems, designing solutions, and shipping results with minimal direction and high impact
  • Strong product and systems judgment, comfortable with ambiguity and a demanding pace
  • Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders and drive adoption
  • Nice to have: exposure to compute infrastructure, hardware production, or operations tooling
Benefits:
  • Competitive total compensation package (cash + equity)
  • Health, dental, and vision insurance
  • Retirement plan
  • Generous PTO policy

We are committed to pay equity and transparency.

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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