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Remote Software Engineering Manager Jobs in Frisco, TX

AI/ML Software Engineer

Dallas, TX ยท On-site +1

$140K - $220K/yr

Write clean, testable, and maintainable code following secure coding and software engineering best ... Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.

AI/ML Software Engineer

Dallas, TX ยท Remote

$140K - $220K/yr

Write clean, testable, and maintainable code following secure coding and software engineering best ... Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.

AI/ML Software Engineer

Dallas, TX ยท Remote

$140K - $220K/yr

Write clean, testable, and maintainable code following secure coding and software engineering best ... Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.

AI/ML Software Engineer

Dallas, TX ยท Remote

$140K - $220K/yr

Write clean, testable, and maintainable code following secure coding and software engineering best ... Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.

Staff Software Engineer

Flower Mound, TX ยท On-site +1

$133.40K - $222.30K/yr

... Management System requirements while building strong engineering relationships What you need ... Remote Procedure Calls (gRPC). Preferred: * Knowledge of Ethernet and IP networking, including ...

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Remote Software Engineering Manager information

See Frisco, TX salary details

$93.1K

$158.5K

$187.7K

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

As of May 28, 2026, the average yearly pay for remote software engineering manager in Frisco, TX is $158,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $161,900.00 and $161,900.00 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.

What are popular job titles related to Remote Software Engineering Manager jobs in Frisco, TX? For Remote Software Engineering Manager jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Remote Software Engineering Manager jobs in Frisco, TX look for? The top searched job categories for Remote Software Engineering Manager jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Remote Software Engineering Manager jobs? Cities near Frisco, TX with the most Remote Software Engineering Manager job openings:
Infographic showing various Remote Software Engineering Manager job openings in Frisco, TX as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $158,530 per year, or $76.2 per hour.

Software Manager \u007C Transition into Data Engineering

Allata

Dallas, TX โ€ข Remote

Full-time

Posted 13 days ago


Job description

Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.

Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidanceโ€”to deliver measurable results and build lasting partnerships.

Weโ€™re looking for experienced engineering leaders, especially those with strong backend or full-stack backgrounds, who are excited to step into the data space and help teams build modern, data-driven solutions.ย 

This is a unique opportunity for managers who want to evolve their careers and bring their leadership, delivery, and technical expertise into modern data platforms and large-scale data initiatives.ย 

As part of this opportunity, the role includes an initial structured training and ramp-up period focused on modern Data Engineering tools, practices, and ecosystem knowledge, including technologies such as Databricks, Snowflake, and other key components of the data stack. This onboarding is designed to help experienced leaders build domain-specific knowledge and transition successfully into data-focused projects while leveraging their existing engineering and management foundation.

Responsibilities:
  • Lead and support engineering teams working on modern data pipelines and data platform solutions.
  • Provide technical direction and help shape architecture, delivery, and execution within data-focused initiatives.ย 
  • Partner with engineers, architects, analysts, product owners, and business stakeholders to align technical delivery with business goals.
  • Drive planning, prioritization, and execution across projects, ensuring predictable delivery and high-quality outcomes.
  • Foster strong engineering practices, including code quality, testing, scalability, and operational excellence.
  • Support the adoption of software engineering best practices in data-focused environments.
  • Coach and mentor team members, helping them grow technically and professionally.
  • Contribute to building a collaborative, accountable, and high-performing team culture.
  • Help ensure data solutions are reliable, scalable, and ready for analytics and business consumption.
  • Support initiatives that enable reporting, analytics, and data-driven decision-making.
Hard Skills:
  • Strong experience in software development, ideally in backend or full-stack environments with Python or another backend-oriented programming language.
  • Experience leading engineering teams, technical workstreams, or cross-functional initiatives.
  • Good working knowledge of SQL.
  • Exposure to cloud platforms or modern data ecosystems.
  • Familiarity with APIs, integrations, or data-related workflows.
  • Exposure to concepts such as ETL/ELT, orchestration, or large-scale data processing.ย 
  • Ability to evaluate technical trade-offs and guide teams toward scalable solutions.
Nice to have:
  • Exposure to tools such as Databricks, Snowflake, Spark, Airflow, or dbt.
  • Previous experience leading initiatives related to data engineering, analytics engineering, or data platforms.
  • Experience working in organizations undergoing technical transformation or platform modernization.
Soft Skills:
  • Strongย leadershipย mindsetย andย abilityย toย inspire and guideย teamsย throughย changeย 
  • Genuineย interestย inย buildingย aย long-termย careerย pathย in Dataย Engineeringย and dataย platformย leadershipย 
  • Curiosityย andย willingnessย toย learnย newย technologiesย andย conceptsย 
  • Strongย senseย ofย ownershipย andย accountabilityย 
  • Proactiveย mindsetย andย problem-solvingย orientationย 
  • Excellentย communicationย andย stakeholderย managementย skillsย 
  • Abilityย toย workย effectivelyย inย collaborative,ย cross-functionalย teamsย 
  • Adaptabilityย andย opennessย toย evolvingย intoย a newย technicalย domainย 
  • Comfortableย balancingย technicalย depthย withย peopleย leadershipย andย deliveryย focusย 
At Allata, we value differences.

Allata is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Allata makes employment decisions without regard to race, color, creed, religion, age, ancestry, national origin, veteran status, sex, sexual orientation, gender, gender identity, gender expression, marital status, disability or any other legally protected category.

This policy applies to all terms and conditions of employment, including but not limited to, recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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.