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Benchmarking Jobs in Colorado (NOW HIRING)

TIFIN

AI Engineering

Boulder, CO

$200K - $275K/yr

Establish evaluation and benchmarking frameworks, including LLM-as-judge pipelines, for multi-step reasoning accuracy, groundedness, hallucination mitigation, and financial correctness * Design and ...

Albedo

Head of People

Broomfield, CO

$140K - $187K/yr

Lead performance management, compensation philosophy, salary banding, benchmarking, and total rewards programs * Own employee relations matters, including investigations, conflict resolution ...

IonQ

Senior Quantum Scientist

Boulder, CO · Hybrid

$126K - $166K/yr

A solid background in quantum control, with hands-on experience in calibration, benchmarking, or coherent control of qubits, will be key to success. Practical skills in control software, hardware ...

Vizient, Inc.

Lead Hybrid Product Advisor

Centennial, CO · On-site

$102K - $179K/yr

Maintain expertise in healthcare industry trends, benchmarking methodologies, regulatory requirements, and Vizient analytics solutions. Qualifications: * Relevant degree in Healthcare Administration ...

Vizient, Inc.

Lead Product Advisor

Centennial, CO · On-site

$102K - $179K/yr

Translate complex analytics and benchmarking data into actionable client insights and recommendations. * Drive utilization and optimization of CPSC, CDB, PA, ODB, and ODB-CP solutions. * Deliver ...

Vizient

Lead Product Advisor

Englewood, CO · On-site

$102K - $179K/yr

Translate complex analytics and benchmarking data into actionable client insights and recommendations. * Drive utilization and optimization of CPSC, CDB, PA, ODB, and ODB-CP solutions. * Deliver ...

Vizient

Lead Hybrid Product Advisor

Englewood, CO · On-site

$102K - $179K/yr

Maintain expertise in healthcare industry trends, benchmarking methodologies, regulatory requirements, and Vizient analytics solutions. Qualifications: * Relevant degree in Healthcare Administration ...

Congruex

Senior Manager, Sourcing

Boulder, CO · On-site

$170K - $171K/yr

Bid evaluation and benchmarking * Identify automation opportunities to improve sourcing cycle time and visibility. * Cross-Functional Collaboration: * Work closely with Operations, Project Management ...

VDURA

Systems Engineer, Platform

Longmont, CO · On-site +1

Strong hands-on experience specifying, benchmarking and qualifying servers, storage systems, and high-performance networking platforms * Engineering experience with: * x86 server architectures

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Benchmarking information

See Colorado salary details

$53.6K

$84.5K

$119.9K

How much do benchmarking jobs pay per year?

As of Jul 22, 2026, the average yearly pay for benchmarking in Colorado is $84,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $91,500.00 per year, depending on experience, location, and employer.

How does a Benchmarking Analyst typically collaborate with other departments to drive performance improvements?

Benchmarking Analysts frequently work cross-functionally, partnering with teams such as operations, finance, and quality assurance to collect data and compare organizational performance against industry standards. They facilitate workshops, share insights, and help identify actionable areas for improvement. This collaborative approach ensures that recommendations are tailored to each department's unique challenges and that initiatives are widely supported and successfully implemented.

What are the key skills and qualifications needed to thrive as a Benchmarking Analyst, and why are they important?

To thrive as a Benchmarking Analyst, you need strong analytical skills, attention to detail, and a background in business, statistics, or related fields. Familiarity with data analysis tools like Excel, SQL, or benchmarking software, as well as certifications such as Six Sigma, are often valuable. Excellent communication, critical thinking, and problem-solving abilities help you interpret data and present actionable insights to stakeholders. These skills are crucial for driving performance improvements and maintaining competitiveness by accurately comparing organizational practices against industry standards.

What is the difference between Benchmarking vs Data Analyst?

AspectBenchmarkingData Analyst
Required credentialsOften requires business or industry-specific certifications, degrees in business, economics, or related fieldsTypically requires degrees in statistics, mathematics, or computer science; certifications like CAP or Microsoft Data Analyst
Work environmentPrimarily in corporate, manufacturing, or consulting settings focusing on performance comparisonIn various industries, working with data sets, reporting, and data visualization tools
Employer and industry usageUsed by organizations to improve processes by comparing against best practicesUsed across industries for data analysis, reporting, and decision-making support

While Benchmarking focuses on comparing organizational performance to industry standards, Data Analysts interpret data to inform business decisions. Both roles require analytical skills but serve different strategic purposes within organizations.

What is benchmarking?

Benchmarking is the process of comparing a company's products, services, or processes against those of leading organizations in the industry or best practices from other industries. The goal is to identify areas where improvements can be made to increase efficiency, quality, or competitiveness. Benchmarking often involves collecting data, analyzing performance metrics, and implementing changes based on findings. This strategic approach helps organizations stay competitive and continuously improve their operations.
What are popular job titles related to Benchmarking jobs in Colorado? For Benchmarking jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Benchmarking jobs in Colorado look for? The top searched job categories for Benchmarking jobs in Colorado are:
Benchmarking jobs near you
Infographic showing various Benchmarking job openings in Colorado as of July 2026, with employment types broken down into 86% Full Time, 7% Part Time, 5% Contract, and 2% Nights. Highlights an 88% In-person, 4% Hybrid, and 8% Remote job distribution, with an average salary of $84,528 per year, or $40.6 per hour.
AI Engineering

AI Engineering

TIFIN

Boulder, CO

$200K - $275K/yr

Other

Posted 7 days ago

Job description

ROLE OVERVIEW

Our north star is delivering better wealth outcomes for more people. We're building production-grade multi-agent systems that power advisor copilots, investment intelligence workflows, and autonomous research capabilities. Our AI Engineers architect, build, and operationalize these systems at scale, pushing the boundaries of what agentic AI can do. We're hands-on engineers focused on shipping reliable, enterprise-ready agentic AI systems into production.

PROJECTS

  • Agent Advisor Copilot. Build a production-grade, multi-agent copilot for financial advisors that retrieves and reasons over client data using RAG and a persistent knowledge graph of clients and holdings, analyzes portfolio exposures and risk scenarios, generates personalized insights, enforces compliance guardrails, and drafts client-ready communications - all within a monitored, auditable architecture graded by automated evals and LLM-as-judge review.
  • Deep Research & Workflow Agents. Design end-to-end AI workflows spanning client discovery, investment research synthesis, portfolio construction and optimization, and compliant meeting preparation - powered by deep research agents that reason over live web and internal data in ReAct-style loops - replacing fragmented tools with intelligent, autonomous systems.
  • Agentic Infrastructure & Reasoning Stack. Architect a scalable multi-agent platform on LangGraph-style orchestration, with agent memory and state management, dynamic tool invocation, model fine-tuning pipelines, structured output validation, observability, fault tolerance, and automated evaluation - solving reliability, explainability, and regulatory challenges at scale.

WHAT YOU'LL DO

  • Design and implement production-grade multi-agent systems and ReAct-style reasoning loops using modern agent frameworks and orchestration engines (e.g., LangGraph, Pydantic AI, Agent Harness, Tool-Calling, Code Execution)
  • Build agent workflows that integrate RAG-based retrieval, agent memory, and knowledge graphs for grounded, long-horizon reasoning, fine-tuning models where prompting and retrieval alone fall short
  • Establish evaluation and benchmarking frameworks, including LLM-as-judge pipelines, for multi-step reasoning accuracy, groundedness, hallucination mitigation, and financial correctness
  • Design and enforce AI governance - audit trails, guardrails, and human-in-the-loop checkpoints - appropriate to a regulated industry
  • Develop distributed agent services with strong observability and failure handling, and optimize latency, cost, and infrastructure decisions across model serving, vector/graph databases, and caching

WHAT YOU'LL BRING

  • 3+ years of experience building and shipping Generative AI and LLM applications into production, with demonstrated experience designing and deploying multi-agent systems, including LangGraph or comparable orchestration frameworks and ReAct-style deep-agent reasoning loops
  • Strong experience with RAG, agent memory, knowledge graphs and graph databases, and LLM fine-tuning
  • Deep proficiency in Python, with experience in distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerized deployments
  • Experience implementing evaluation frameworks, benchmarking, and LLM-as-judge pipelines, along with monitoring and reliability safeguards for AI systems
  • Strong systems thinking, an ability to design beyond single-model solutions toward coordinated, multi-component architectures
  • Resilience and adaptability, driven by a desire to build state-of-the-art AI that drives better wealth outcomes for more people

COMPENSATION RANGE

$200,000 - $275,000 USD, competitive and appropriate to experience level

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