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Technical Alignment Manager Jobs in Columbia, MO

Take ownership in project planning and stakeholder management, driving technical alignment, ensuring efficient resource allocation, and timely delivery of solutions. * Mentor and guide junior ...

Align with our Customer Success teams to build strategies that consider clients' roadmap and ... Client-Facing Technical Role * Solution Architecture * AI Tools Utilization * Project Management

Manage the COHU THG Technical Support team in line with the company objectives. * Guide the team to ... Define product improvements and align priorities. * Active participation in the drive for ...

From managed IT and print solutions to networking, security, and unified communications, we make ... Associate's Degree (AA) or equivalent from a two-year college or technical school in Computer ...

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Technical Alignment Manager information

See Columbia, MO salary details

$48.5K

$144.9K

$184.1K

How much do technical alignment manager jobs pay per year?

As of Aug 29, 2026, the average yearly pay for technical alignment manager in Columbia, MO is $144,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $172,200.00 per year, depending on experience, location, and employer.

What is a Technical Alignment Manager?

A Technical Alignment Manager is responsible for ensuring that a company's technology strategies and solutions are closely aligned with its business goals. They work with various teams to assess current systems, recommend improvements, and ensure that IT initiatives support overall organizational objectives. This role often involves coordinating between technical teams and business stakeholders, managing technology standards, and overseeing compliance with best practices. Technical Alignment Managers help bridge the gap between technical capabilities and business needs, ensuring technology investments deliver maximum value.

How does a Technical Alignment Manager collaborate with cross-functional teams to ensure technology strategies are consistently implemented?

A Technical Alignment Manager regularly works with stakeholders across IT, operations, and business units to ensure that technology solutions align with organizational goals. This involves facilitating communication between technical and non-technical teams, translating business requirements into technical directives, and monitoring project progress to maintain alignment. The role often requires managing expectations, resolving conflicts, and adapting strategies as business needs evolve, making strong collaboration and negotiation skills essential.

What are the key skills and qualifications needed to thrive as a Technical Alignment Manager?

To thrive as a Technical Alignment Manager, you need a solid background in IT infrastructure, project management, and business analysis, often supported by certifications like ITIL, PMP, or relevant technical degrees. Familiarity with tools such as ticketing systems, service management platforms, and reporting dashboards is typically required. Strong communication, problem-solving, and stakeholder management skills are essential for aligning technical solutions with business objectives. These skills ensure smooth coordination between technical teams and business units, driving efficient project delivery and maximizing organizational value.

What is the difference between Technical Alignment Manager vs Technical Project Manager?

AspectTechnical Alignment ManagerTechnical Project Manager
Primary FocusEnsuring technical strategies align with business goalsPlanning, executing, and closing technical projects
Required SkillsTechnical expertise, strategic thinking, stakeholder communicationProject management, technical knowledge, team coordination
Work EnvironmentCross-departmental, strategic planning sessionsProject teams, timelines, deliverables
CertificationsPossibly PMP, PMI-ACP, or technical certificationsPMP, Agile certifications, technical certifications

The Technical Alignment Manager focuses on aligning technical strategies with business objectives, while the Technical Project Manager manages specific technical projects from initiation to completion. Both roles require technical knowledge and certifications, but their core responsibilities differ in scope and focus.

What job categories do people searching Technical Alignment Manager jobs in Columbia, MO look for?

The top searched job categories for Technical Alignment Manager jobs in Columbia, MO are:

What cities near Columbia, MO are hiring for Technical Alignment Manager jobs?

Cities near Columbia, MO with the most Technical Alignment Manager job openings:

Infographic showing various Technical Alignment Manager job openings in Columbia, MO as of August 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $144,917 per year, or $69.7 per hour.

Senior Staff ML Engineer

Jobtailor

California, MO • On-site

$180 - $230/hr

Other

Posted 13 days ago


Job description

  • Own end-to-end design, development, and maintenance of high-performance AI solutions that use agentic workflows to deliver concrete business value for internal stakeholders and customer-facing applications.
  • Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, and designers to gather requirements, define project scope and prioritize feature development.
  • Establish pragmatic technical visions and roadmaps that balance business outcomes, product release timelines, and engineering excellence.
  • Integrate and build solutions using GEICO’s AI platform architecture.
  • Partner with platform teams to communicate requirements, understand current capabilities and gaps, and contribute to platform feature roadmaps and development.
  • Ideate, define, and build first-of-its-kind solutions within GEICO, with a deep understanding of business and technical processes, applications, and architecture to guide development.
  • Drive the selection, evaluation, and implementation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, maintainability, etc.
  • Take ownership in project planning and stakeholder management, driving technical alignment, ensuring efficient resource allocation, and timely delivery of solutions.
  • Mentor and guide junior engineers via code reviews and design sessions, establish and enforce best practices, and foster a collaborative and high-performance team culture.
Requirements
  • 8+ years of experience designing and building scalable production AI/ML applications and systems in cloud environments
  • 5+ years owning end-to-end development, monitoring, maintenance, and continuous improvement of scalable, robust AI/ML applications.
  • 5+ years of experience with training, finetuning, real-time/batch inferencing, and evaluation systems for AI/ML models and LLMs used in production systems
  • 5+ years of experience managing the end-to-end software development life cycle (e.g. CI/CD pipelines, Kubernetes-based deployments, testing, monitoring & alerting, production support etc.) for Generative AI applications, backend systems, and APIs
  • Experience using frameworks to build LLM-based agentic workflows such LangSmith/LangGraph or similar
  • Experience using typical agentic communication standards such as A2A, MCP, and similar to design, architect, and build working multi-agent applications
  • Proficient in Python, Java or similar general-purpose programming languages.
  • Bachelor’s degree or above in Computer Science, Engineering, Statistics or a related field.
Core Competencies

Demonstrates expertise in designing and building scalable AI/ML applications, with a strong focus on cloud environments and end-to-end software development life cycle management. Proficient in mentoring teams and driving technical alignment to deliver innovative solutions that meet business objectives.

Highest-signal resume keywords
  • AI/ML Application Development
  • Cloud Environments
  • End-to-End Software Development Life Cycle
  • Python Programming
  • Kubernetes-Based Deployments
ATS Optimization Keywords Hard Skills
  • AI/ML Systems Design
  • Scalable Production Applications
  • Continuous Improvement
  • Training and Finetuning Models
  • Real-Time/Batch Inferencing
  • CI/CD Pipelines
  • Monitoring and Alerting
  • APIs Development
  • Frameworks for LLM-Based Workflows
  • Agentic Communication Standards
Soft Skills
  • Stakeholder Management
  • Team Collaboration
  • Mentoring
  • Project Planning
  • Resource Allocation
Industry Keywords
  • Generative AI
  • Multi-Agent Applications
  • Business Value Delivery
  • Technical Vision and Roadmaps
  • Engineering Excellence
Tools & Technologies
  • GEICO AI Platform Architecture
  • LangSmith
  • LangGraph
  • Kubernetes
  • CI/CD Tools
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