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Remote Software Engineering Manager Jobs in Missouri

Jobgether

This role sits at the core of a fast-scaling, globally distributed, 100% remote engineering ... closely related software engineering roles. * Strong technical foundation across data ...

ClickHouse

$94.50K - $124.60K/yr

Experience: 6+ years in software engineering, ideally with experience building or operating ... managed database. #LI-remote

Maritz

Software Engineer

Fenton, MO · Remote

In our most recent employee survey, nearly 90% of respondents said that their managers care about ... This team primarily operates in a remote environment, with occasional in-office presence as needed.

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$93.3K

$158.9K

$188.1K

How much do remote software engineering manager jobs pay per year?

As of May 29, 2026, the average yearly pay for remote software engineering manager in Missouri is $158,880.00, according to ZipRecruiter salary data. Most workers in this role earn between $162,300.00 and $162,300.00 per year, depending on experience, location, and employer.

What Does a Remote Software Engineering Manager Do?

As a remote software engineering manager, you work from home to manage a team that develops or enhances computer software programs. In this remote role, you direct a team of employees to design computer programs, develop solutions to engineering challenges, and enhance the capabilities of existing software and systems. Your responsibilities span project management duties, team building and recruitment activities, and collaboration with information technology teams and other departments. You also consult with company executives to determine software requirements and limitations and provide updates on projects. You must understand company standards and follow organizational guidelines to achieve specific goals.

What are the key skills and qualifications needed to thrive as a Remote Software Engineering Manager, and why are they important?

To thrive as a Remote Software Engineering Manager, you need strong leadership abilities, deep technical expertise in software development, and a track record of managing engineering teams, often supported by a degree in computer science or related fields. Familiarity with project management tools (like Jira or Asana), version control systems (such as Git), and collaboration platforms (like Slack or Zoom) is crucial, along with Agile or Scrum certifications. Exceptional communication, emotional intelligence, and the ability to motivate and mentor remote teams are standout soft skills in this role. These combined skills enable effective project delivery, foster team cohesion across distances, and ensure continuous team growth and innovation.

How does a Remote Software Engineering Manager effectively foster team collaboration and communication across different time zones?

As a Remote Software Engineering Manager, you'll be responsible for ensuring strong communication and collaboration among team members who may be distributed globally. This typically involves leveraging asynchronous tools like Slack, project management platforms, and regular video meetings to keep everyone aligned. You'll need to set clear expectations around availability, documentation, and handoffs, and proactively address challenges such as time zone overlap and cultural differences. Establishing a culture of transparency and frequent feedback helps maintain engagement and productivity within a remote environment.

What is a Remote Software Engineering Manager?

A Remote Software Engineering Manager is a leadership professional who oversees software development teams that work from various locations, rather than in a traditional office setting. Their responsibilities include managing team performance, guiding technical direction, coordinating projects, and ensuring effective communication among remote team members. They also play a key role in hiring, mentoring, and supporting engineers to achieve both individual and organizational goals. This role requires strong technical expertise, excellent communication skills, and the ability to manage projects and people in a distributed work environment.

What is the difference between Remote Software Engineering Manager vs Remote Software Developer?

AspectRemote Software Engineering ManagerRemote Software Developer
Required CredentialsBachelor's/Master's in CS or related, management experienceBachelor's in CS or related, coding skills
Work EnvironmentLeads teams, manages projects, strategic planningFocuses on coding, feature development, debugging
Employer & Industry UsageTech companies, startups, large enterprisesSoftware firms, tech startups, IT departments
Search & Comparison IntentUnderstanding managerial roles in remote settingsLooking for coding roles or entry to mid-level positions

The Remote Software Engineering Manager oversees teams, manages projects, and aligns technical strategies, requiring leadership skills and management experience. In contrast, a Remote Software Developer primarily focuses on coding, debugging, and implementing features. While both roles require technical expertise, the manager role emphasizes leadership and coordination, whereas the developer role centers on technical execution.

More about Remote Software Engineering Manager jobs
What are popular job titles related to Remote Software Engineering Manager jobs in Missouri? For Remote Software Engineering Manager jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Software Engineering Manager jobs in Missouri look for? The top searched job categories for Remote Software Engineering Manager jobs in Missouri are:
What cities in Missouri are hiring for Remote Software Engineering Manager jobs? Cities in Missouri with the most Remote Software Engineering Manager job openings:
Remote Software Engineering Manager jobs near you
Infographic showing various Remote Software Engineering Manager job openings in Missouri as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $158,880 per year, or $76.4 per hour.

Engineering Manager, Data Platform & ML Ops

Jobgether

Remote

Full-time

Posted 9 days ago

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Manager, Data Platform & ML Ops in Netherlands.

This role sits at the core of a fast-scaling, globally distributed, 100% remote engineering organization focused on building high-trust systems for fraud prevention and digital identity. You will lead a team responsible for the data and machine learning backbone that powers critical analytics, product intelligence, and production ML systems. Your work will directly influence how large-scale behavioral signals are transformed into reliable, production-ready models and insights used across core products. You will oversee both data platform evolution and the full ML Ops lifecycle, ensuring scalability, reliability, and performance at every layer. This is a highly cross-functional leadership role, working closely with data scientists, engineers, and product teams to turn data into measurable impact. You will also play a key role in shaping engineering culture, mentoring talent, and driving technical excellence across a rapidly evolving environment. The position is ideal for a hands-on technical leader who thrives at the intersection of data infrastructure, machine learning systems, and people leadership.

Accountabilities

In this role, you will lead and grow a high-performing team of engineers while owning the strategy, reliability, and evolution of both the data platform and ML Ops ecosystem. You will ensure that data and machine learning systems are scalable, production-ready, and aligned with business and product needs.

  • Lead, mentor, and develop a team of data platform and ML Ops engineers, fostering technical excellence and career growth.
  • Own the architecture, reliability, and scalability of the internal data warehouse powering analytics and product intelligence.
  • Oversee the end-to-end ML Ops lifecycle including experimentation, training pipelines, deployment, and production monitoring.
  • Guide technical architecture decisions and review complex engineering proposals across data and ML systems.
  • Collaborate with data scientists, product managers, and engineering leaders to translate data initiatives into business impact.
  • Define and evolve engineering standards, tooling, and best practices across data and ML infrastructure.
  • Drive continuous improvement in system performance, reliability, and operational maturity.
  • Ensure delivery of high-impact data products that support fraud detection and identity intelligence systems.
Requirements

The ideal candidate brings strong technical leadership experience across data engineering and machine learning systems, combined with a proven ability to manage teams in fast-paced, high-growth environments. You are equally comfortable guiding architecture decisions and mentoring engineers toward strong execution.

  • Minimum 2+ years of experience managing engineering teams in data, ML, or platform domains.
  • 5+ years of professional experience in data engineering, ML engineering, or closely related software engineering roles.
  • Strong technical foundation across data infrastructure and machine learning systems in SaaS environments.
  • Hands-on familiarity with ML Ops workflows including training pipelines, deployment, and monitoring.
  • Experience working with modern data platforms such as ClickHouse, Databricks, Snowflake, or BigQuery.
  • Proficiency with cloud infrastructure, particularly AWS-based data and ML systems.
  • Proven ability to lead high-reliability engineering teams delivering production-grade data products.
  • Strong communication, leadership, and cross-functional collaboration skills.
Benefits
  • Competitive compensation package aligned with US market benchmarks
  • Fully remote, globally distributed work environment
  • Opportunity to lead mission-critical data and ML systems at scale
  • High-impact role influencing core product intelligence and fraud detection capabilities
  • Strong engineering culture focused on autonomy, learning, and innovation
  • Exposure to modern data stack and advanced ML Ops infrastructure
  • Inclusive, diverse, and collaborative remote-first organization
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? 
 
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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