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Senior Engineering Manager Jobs in Remote, OR (NOW HIRING)

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Senior AI Engineer

OR · Remote

$219K - $250K/yr

Senior AI Engineer Location: Remote About the Role Deduction is looking for a Senior AI Engineer to ... Design sophisticated context-engineering systems for AI agents. * Manage memory, state, context ...

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Senior Lead DevOps Engineer

OR · Remote

$133K - $170K/yr

The Senior Lead DevOps Engineer will play a critical role in bringing strategic vision to life by ... Collaborating across executive leadership, product management, engineering, and quality ...

Senior Operations Engineer

OR · Remote

$84K - $112K/yr

The Role Senior Engineer position requires a high degree of technical and coding competencies while ... Provide high-level technical & engineering support for network performance management ...

Senior Lead Cloud Engineer

OR · Remote

$132K - $176K/yr

Automate cost management tasks and integrate FinOps tools into CI/CD pipelines * Develop and ... Cloud Engineering roles. * May travel for 1-2 times/year for workshops Compensation This ...

As a Senior Technical Program Manager at Syniti, you will drive high-impact initiatives on the ... Collaborating across product management, engineering, operations, and customer-facing teams, you ...

The Role At Lumen, the Senior Lead Software Developer, AI Developer Enablement, steps into an ... Establish standards for testing, documentation, monitoring, and lifecycle management. Engineering ...

The Senior Sales Manager will serve as the primary growth driver for our System Integration ... They will work cross-functionally with engineering, software, and global product teams, including ...

Senior Lead Solution Train Engineer

OR · Remote

$132K - $176K/yr

As a senior leader, you will emphasize proactive dependency management, cross-train risk mitigation ... Coach and mentor Release Train Engineers (RTEs), Product Owners, and junior STEs. Drive relentless ...

The Senior Project Manager will be responsible for planning, execution, and delivery of large-scale ... You will partner cross-functionally with internal teams (engineering, sales, EHS&S, finance ...

The Senior Project Manager will be responsible for planning, execution, and delivery of large-scale ... You will partner cross-functionally with internal teams (engineering, sales, EHS&S, finance ...

Senior Lead Release Train Engineer

OR · Remote

$132K - $176K/yr

The Role The Senior Lead Release Train Engineer (Sr. RTE) is an experienced servant leader ... Coach Product Management, Product Owners, Scrum Masters, TPMs, Engineering leaders, Architects, and ...

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Senior Engineering Manager information

See Remote, OR salary details

$63.4K

$136K

$197.8K

How much do senior engineering manager jobs pay per year?

As of Aug 29, 2026, the average yearly pay for senior engineering manager in Remote, OR is $136,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $162,800.00 per year, depending on experience, location, and employer.

What is a senior engineering manager?

A Senior Engineering Manager is a seasoned leader responsible for overseeing multiple engineering teams or large projects within an organization. They manage engineering managers or team leads, set technical direction, and ensure alignment with business goals. Their duties include mentoring staff, driving process improvements, managing budgets, and collaborating with other departments. Senior Engineering Managers play a key role in hiring, performance evaluations, and fostering a productive engineering culture. They typically have extensive industry experience and strong leadership skills.

What is a senior engineering manager?

Senior engineering managers oversee the project team to ensure each phase is completed accurately, on time, and within budget. They coordinate with the company’s marketing and sales departments to determine what products or services are offered to clients and then develop those offerings to specifications. As a senior engineering manager, you may also need to troubleshoot equipment or software. To become a senior engineering manager, you need a certificate or degree in computer science or a related field, several years of working in software development, and management experience.

How does a senior engineering manager typically balance technical leadership with people management responsibilities?

A Senior Engineering Manager often splits their time between guiding technical strategy and supporting their team’s professional development. This involves overseeing complex engineering projects, setting clear technical direction, and ensuring best practices are followed, while also mentoring engineers, conducting performance reviews, and fostering a collaborative team culture. Balancing these areas requires strong delegation, prioritization, and communication skills, as well as regularly collaborating with other departments like Product and Design to align goals. Most organizations expect Senior Engineering Managers to actively contribute to both technical and people-focused initiatives, which can be challenging but is essential for team and project success.

What are the key skills and qualifications needed to thrive as a senior engineering manager, and why are they important?

To thrive as a Senior Engineering Manager, you need a robust background in engineering principles, leadership experience, and a relevant degree, often complemented by prior management roles. Familiarity with project management tools (such as Jira or Asana), software development methodologies (like Agile), and technical certifications can be highly beneficial. Exceptional communication, conflict resolution, and mentoring skills set top performers apart in this role. These skills are vital for effectively guiding teams, delivering projects on time, and fostering an innovative and collaborative engineering environment.

What is the difference between Senior Engineering Manager vs Engineering Director?

AspectSenior Engineering ManagerEngineering Director
ResponsibilitiesOversees multiple engineering teams, manages project delivery, and mentors managersSets strategic direction, manages multiple departments, and aligns engineering goals with company objectives
Required CredentialsBachelor's or Master's in Engineering or related field, 8+ years experience, leadership skillsSimilar credentials, often with 10+ years experience, strategic planning skills
Work EnvironmentHands-on team management within engineering teamsHigh-level strategic planning, cross-department coordination
Industry UsageCommon in tech companies, startups, and large enterprisesTypically found in larger organizations with complex structures

While both roles require strong technical backgrounds and leadership skills, Senior Engineering Managers focus more on team management and project execution, whereas Engineering Directors are responsible for strategic planning and organizational alignment across multiple teams.

What are popular job titles related to Senior Engineering Manager jobs in Remote, OR?

For Senior Engineering Manager jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Senior Engineering Manager jobs in Remote, OR look for?

The top searched job categories for Senior Engineering Manager jobs in Remote, OR are:

Infographic showing various Senior Engineering Manager job openings in Remote, OR as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution, with an average salary of $136,012 per year, or $65.4 per hour.

Senior AI Engineer

OR • Remote

$219K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Senior AI Engineer
Location: Remote
About the Role

Deduction is looking for a Senior AI Engineer to join its growing AI team and work closely with the Founding AI Engineer.

This is an applied AI engineering role, not a purely research-oriented position. You will help expand, harden, and scale Deduction's agentic AI systems while building the production infrastructure required to make AI reliable, observable, secure, and scalable.

You will operate at the intersection of AI platform engineering, production backend engineering, and full-stack product development.

The ideal candidate is a strong builder who enjoys solving ambiguous problems and turning emerging AI capabilities into reliable production systems—particularly in environments where accuracy, security, privacy, and compliance are critical.

Key Responsibilities

Architect & Scale AI Systems

  • Partner closely with the Founding AI Engineer to evolve Deduction's AI architecture.
  • Build robust, scalable, and governed AI systems for production use.
  • Help establish engineering standards and architectural patterns for the company's AI platform.

Context Engineering & AI Reasoning

  • Design sophisticated context-engineering systems for AI agents.
  • Manage memory, state, context windows, and information retrieval.
  • Improve AI reliability, performance, and overall user experience.
  • Develop mechanisms that enable AI systems to reason effectively through complex tax workflows.

AI Evaluation & Observability

  • Build a multi-layered evaluation platform for continuous AI quality improvement.
  • Develop comprehensive offline test suites and evaluation frameworks.
  • Implement LLM-as-a-judge systems, including AI-assisted auditing.
  • Incorporate production feedback and CPA moderation into evaluation workflows.
  • Build a continuous data flywheel to improve model and agent performance.

Full-Stack AI Development

  • Build and ship production AI features using TypeScript and Node.js.
  • Integrate AI capabilities directly into Deduction's core product.
  • Work across backend, AI infrastructure, and product experiences.
  • Contribute to text engineering and AI-driven UI/UX experiences.

Security, Privacy & Compliance

  • Design secure context boundaries and data-retrieval pathways.
  • Ensure AI systems enforce appropriate security and privacy controls.
  • Build systems capable of operating reliably in a highly regulated environment.
  • Protect sensitive customer and financial information throughout the AI workflow.

AI-Native Engineering

  • Use modern AI coding assistants and AI development tools to accelerate engineering.
  • Establish best practices for AI-assisted software development.
  • Develop automated testing and development workflows that maintain quality while increasing engineering velocity.
  • Help the broader engineering team adopt effective AI-native development practices.


Required Qualifications

Education

  • Bachelor's or advanced degree in Computer Science or a related STEM field, such as:
    • Engineering
    • Mathematics
    • Physics
    • Computer Science


Professional Experience

  • 6–10 years of software engineering experience, with significant experience in applied AI/LLM systems.
  • Strong full-stack or backend engineering background.
  • Professional experience primarily using TypeScript and/or Python.
  • Demonstrated experience taking AI systems from concept/prototype to production.
  • Experience working in an early-stage startup, preferably in a 0→1 environment.
  • Strong ability to critically evaluate AI models, tools, architectures, and emerging AI trends.


Technical Skills

  • Applied AI / LLM engineering
  • AI orchestration
  • Context engineering
  • AI agent development
  • Evaluation and observability systems
  • Production backend engineering
  • Data pipelines and infrastructure
  • TypeScript / Node.js
  • Python
  • AI-assisted development and coding tools


Preferred Qualifications

  • Experience in fintech or another highly regulated industry.
  • Experience with document processing, document intelligence, or parsing complex information.
  • Experience structuring and extracting information from unstructured data.
  • Experience building systems that process information from multiple sources.
  • Experience working across both startup environments and high-performing engineering organizations.
  • Experience at companies such as Amazon, Meta, Stripe, or similarly engineering-intensive organizations.
  • Experience building AI systems where reliability, security, and observability are critical.


Ideal Candidate Profile

The ideal candidate combines strong software engineering fundamentals with practical AI expertise.

You should be someone who:

  • Has successfully shipped AI-powered products to production.
  • Enjoys working in ambiguous, fast-moving startup environments.
  • Can balance research awareness with practical engineering judgment.
  • Understands both the capabilities and limitations of modern AI/LLM systems.
  • Is comfortable building greenfield systems from the ground up.
  • Can evaluate AI outputs critically rather than simply relying on model performance claims.
  • Uses AI development tools effectively to increase engineering velocity.
  • Has demonstrated an exceptional quality, whether through education, a side project, technical achievement, entrepreneurial work, or an exceptional professional accomplishment.


Company Description

We are a leading recruiting and staffing agency connecting talented professionals with opportunities across IT and Non-IT industries. With a network of 500+ clients, we provide access to a wide range of career opportunities with reputable organizations.

Direct Client Interviews: We coordinate candidate interviews directly with our client companies.
500+ Client Network: Access opportunities across a broad range of industries and organizations.
IT & Non-IT Opportunities: We recruit for a diverse range of technical and non-technical roles.
Career-Focused Support: Our recruiting team helps candidates navigate the hiring process and connect with roles aligned with their skills and experience.
Strong Industry Network: Our established client relationships help us connect qualified candidates with relevant opportunities efficiently.