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Remote Anomaly Detection Jobs in Colorado (NOW HIRING)

Sovrn

Principal Software Engineer

Boulder, CO · On-site +1

$140K - $187K/yr

... anomaly detection, and automated decisioning * Set standards for how we evaluate, trust, and ... For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD ...

Zayo Group LLC

Senior Network Automation Engineer

Boulder, CO · Remote

$107K - $147K/yr

This position is remote and can be based anywhere in the US or Canada** Responsibilities: Alarming ... Implement automated compliance checks and anomaly-based threat detection through monitoring ...

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Remote Anomaly Detection information

What are the key skills and qualifications needed to thrive as a remote anomaly detection specialist, and why are they important?

To thrive in Remote Anomaly Detection, you need a strong background in statistics, data analysis, and machine learning, usually supported by a degree in computer science, engineering, or a related field. Familiarity with analytical tools like Python, R, SQL, and specialized anomaly detection frameworks is essential, along with experience in cloud platforms. Strong problem-solving skills, attention to detail, and effective remote communication set top performers apart. These competencies enable accurate identification of unusual patterns, quick response to potential risks, and seamless collaboration in distributed work environments.

What are some common challenges faced by professionals working in remote anomaly detection roles?

Professionals in remote anomaly detection often face challenges related to data quality and access, as much of the work depends on analyzing large, diverse datasets from various sources. Ensuring secure, real-time data transmission and maintaining robust communication with cross-functional teams can also be demanding, especially when working remotely. Additionally, adapting to evolving algorithms and staying current with the latest detection technologies requires ongoing learning and collaboration. Successfully navigating these challenges typically involves proactive communication, diligent documentation, and leveraging collaborative tools to stay connected with colleagues.

What is remote anomaly detection?

Remote anomaly detection is the process of identifying unusual patterns or behaviors in data collected from remote systems, devices, or networks. This technique is commonly used in industries such as cybersecurity, manufacturing, and IoT to monitor operations and quickly detect issues or potential threats. By using algorithms and machine learning, remote anomaly detection can automatically flag data points that deviate from normal patterns, helping organizations respond proactively to prevent problems. This approach is especially valuable in environments where manual monitoring is difficult or impractical due to distance or scale.

What is the difference between Remote Anomaly Detection vs Data Analyst?

AspectRemote Anomaly DetectionData Analyst
Required CredentialsBackground in cybersecurity, data science, or related fields; certifications like CompTIA Security+ or Certified Data ProfessionalBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Data Analyst Associate
Work EnvironmentRemote, often in tech or cybersecurity firms, focusing on monitoring systems and identifying irregularitiesRemote or on-site, working with data sets, creating reports, and providing insights for business decisions
Employer & Industry UsageTech companies, cybersecurity firms, financial institutionsBusiness, finance, marketing, healthcare sectors

While both roles involve working with data, Remote Anomaly Detection specialists focus on identifying irregularities in systems or networks, often requiring cybersecurity knowledge. Data Analysts interpret data to inform business strategies. The roles share skills in data analysis but differ in focus and industry applications.

What are the most commonly searched types of Anomaly Detection jobs in Colorado? The most popular types of Anomaly Detection jobs in Colorado are:
What are popular job titles related to Remote Anomaly Detection jobs in Colorado? For Remote Anomaly Detection jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Anomaly Detection jobs in Colorado look for? The top searched job categories for Remote Anomaly Detection jobs in Colorado are:
What cities in Colorado are hiring for Remote Anomaly Detection jobs? Cities in Colorado with the most Remote Anomaly Detection job openings:
Remote Anomaly Detection jobs near you
Infographic showing various Remote Anomaly Detection job openings in Colorado as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution.

Staff Product Manager, Hiring Fraud Solutions

Checkr

Denver, CO • Remote

Full-time

Re-posted 29 days ago

Job description

About the team/role

In an AI-driven world, distinguishing real from fake is increasingly challenging. AI has made it easy to forge credentials, impersonate individuals, and submit job applications at scale using synthetic identities. More than a third of remote applicants are fake, and Fortune 500 companies experienced a significant rise in hires from state-sponsored fraudulent actors last year. AI has turned the hiring funnel from a protective filter into an open gateway for bad actors. Checkr is building the identity layer for hiring to address this threat.

As the leader of Checkr's Hiring Fraud solutions, you will set a new standard for trust in hiring by creating a system that validates identity seamlessly and frictionlessly. You will develop best-in-class capabilities that prevent fraud during all phases of the hiring process, to safeguard organizations while improving the experience for legitimate, qualified candidates. You will collaborate closely with engineering and operations teams to ship market-leading products that are intuitive and easy to use.

What you'll do

  • Own the strategy and roadmap for all Identity Risk & Hiring Fraud Solutions, including dashboard products, APIs, and pre-built partner integrations.
  • Conduct market analysis to identify high-impact opportunities for your products. This includes competitive research, engaging with industry analysts to understand market trends, and working directly with strategic customers to anticipate their evolving needs.
  • Drive cross-functional collaboration across Checkr. Partner with Product Marketing to shape effective go-to-market strategies. Work with other product teams to enable seamless product integrations. Align with Business Development to embed your solutions within partner applications.
  • Build and prioritize a multi-release feature roadmap.
  • Champion the customer by being the voice of strategic customers and build meaningful, personal relationships with them.
  • Measure product success and impact, and identify opportunities for expansion.
  • Represent Checkr as a product expert in customer meetings, industry events, and through community platforms and social media.

What you bring

  • Bachelor's degree in Computer Science or related field preferred
  • 7+ years of product management experience building risk, fraud prevention, and identity verification products, including identity proofing, document verification, biometrics, and hiring-fraud signals
  • Strong expertise in fraud detection frameworks and modeling, including threat modeling, risk scoring, anomaly detection, identity spoofing detection, and data-driven decision-making
  • Deep understanding of recruiting ecosystems, including ATS systems, recruiting workflows, and hiring compliance requirements
  • Proven ability to build scalable, extensible platforms that address evolving fraud threats rather than one-off solutions
  • Strong cross-functional leadership and influence, partnering with engineering, operations, legal, and sales without direct authority
  • An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes

Apply