... remote engineering organization, including engineering managers and software engineers, while fostering a culture of accountability, excellence, and psychological safety. * Define and optimize ...
... remote engineering organization, including engineering managers and software engineers, while fostering a culture of accountability, excellence, and psychological safety. * Define and optimize ...
Remote As a Psychology Expert and help shape the future of mental health technology. In this ... Collaborate with engineers and researchers to enhance AI's clinical reasoning * Apply cognitive ...
Remote As a Psychology Expert and help shape the future of mental health technology. In this ... Collaborate with engineers and researchers to enhance AI's clinical reasoning * Apply cognitive ...
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Remote Engineering Psychologist information
See salary details
$11K - $46.2K
7% of jobs
$64.1K is the 25th percentile. Wages below this are outliers.
$46.2K - $81.5K
35% of jobs
The median wage is $89.7K / yr.
$81.5K - $116.7K
33% of jobs
$116.7K - $151.9K
19% of jobs
$151.9K - $187.1K
4% of jobs
$187.1K - $222.4K
2% of jobs
$222.4K - $257.6K
0% of jobs
$257.6K - $292.8K
0% of jobs
$292.8K - $328K
0% of jobs
$328K - $363.3K
0% of jobs
$363.3K - $398.5K
0% of jobs
$11K
$92.8K
$398.5K
How much do remote engineering psychologist jobs pay per year?
As of Jun 10, 2026, the average yearly pay for remote engineering psychologist in the United States is $92,813.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $117,000.00 per year, depending on experience, location, and employer.
What is the difference between Remote Engineering Psychologist vs Remote Human Factors Specialist?
| Aspect | Remote Engineering Psychologist | Remote Human Factors Specialist |
|---|---|---|
| Credentials | Psychology degree, certification in human factors or ergonomics | Degree in psychology, human factors, or ergonomics; certifications vary |
| Work Environment | Research labs, tech companies, healthcare, remote options common | Design firms, tech companies, healthcare, often remote or hybrid |
| Industry Usage | Used in tech, healthcare, aerospace for user experience and safety | Applied in product design, usability testing, safety analysis |
Both roles focus on optimizing human interaction with technology, often requiring similar credentials and working in tech or healthcare industries. The main difference lies in their specific focus: Remote Engineering Psychologists emphasize psychological principles and research, while Remote Human Factors Specialists concentrate on designing systems and interfaces for usability and safety.
More about Remote Engineering Psychologist jobs
What cities are hiring for Remote Engineering Psychologist jobs? Cities with the most Remote Engineering Psychologist job openings:
What are the most commonly searched types of Engineering Psychologist jobs? The most popular types of Engineering Psychologist jobs are:
What states have the most Remote Engineering Psychologist jobs? States with the most job openings for Remote Engineering Psychologist jobs include:
What job categories do people searching Remote Engineering Psychologist jobs look for? The top searched job categories for Remote Engineering Psychologist jobs are:
Full-time
Posted 17 days ago
Job description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director of Engineering in Netherlands.
You will take on a pivotal leadership role responsible for shaping, scaling, and evolving a global engineering organization operating in a high-scale, data-intensive environment. This position combines strategic leadership with deep technical oversight, ensuring the delivery of reliable, scalable, and high-performance systems that support large volumes of global digital traffic. You will lead engineering managers and distributed teams across a fully remote setup, building a strong culture of accountability, innovation, and continuous improvement. A key focus of the role is driving modernization across the software development lifecycle, including the strategic integration of AI tools to improve engineering efficiency and delivery speed. You will work closely with product and business leadership to ensure engineering execution is aligned with customer outcomes and company growth objectives. This is a high-impact leadership position where your decisions will directly influence platform stability, team performance, and organizational scalability. The environment is fast-paced, globally distributed, and highly performance-oriented.
Accountabilities
Requirements
Benefits
- Lead, mentor, and scale a global, fully remote engineering organization, including engineering managers and software engineers, while fostering a culture of accountability, excellence, and psychological safety.
- Define and optimize engineering organizational design, ensuring effective team structures, clear career progression paths, and strong succession planning.
- Partner closely with product leadership to align engineering execution with product strategy, ensuring cross-functional teams are focused on customer outcomes.
- Oversee architectural integrity, scalability, security, and performance of high-volume distributed systems supporting global-scale operations.
- Balance technical debt reduction with feature delivery, ensuring sustainable system evolution and cost-efficient infrastructure.
- Establish and track engineering performance metrics (e.g., DORA, SPACE) to identify bottlenecks and improve delivery efficiency.
- Lead the adoption of AI-powered engineering tools and automation across the SDLC to improve developer productivity and reduce operational friction.
- Ensure strong compliance, data privacy, and security practices across all engineering processes and systems.
Requirements
- 10+ years of engineering experience, including at least 5+ years in leadership roles managing engineering managers in SaaS, Ad Tech, or high-scale distributed systems environments.
- Proven experience scaling and leading large, fully remote, globally distributed engineering teams.
- Strong understanding of cloud architecture, distributed systems, and scalable infrastructure design.
- Demonstrated ability to make pragmatic technical trade-offs between speed, scalability, and long-term maintainability.
- Strong metrics-driven mindset with hands-on experience using frameworks such as DORA or SPACE to improve engineering performance.
- Experience driving engineering transformation initiatives, including automation and process optimization.
- Familiarity with AI-assisted development tools and a practical understanding of their application in engineering workflows.
- Strong leadership, communication, and stakeholder management skills with the ability to influence across technical and business teams.
Benefits
- Fully remote work with global flexibility and autonomy over your schedule.
- Opportunity to lead and scale a global engineering organization at high impact and high scale.
- Continuous learning and professional development opportunities, including growth support and training resources.
- High-impact leadership role with direct influence on engineering strategy and product outcomes.
- Culture focused on ownership, continuous improvement, and innovation.
- Opportunity to drive AI adoption across engineering workflows and shape modern development practices.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?Â
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Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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