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Senior Manager, Engineering, AI

Job in Kenai, Kenai Peninsula Borough, Alaska, 99611, USA
Listing for: Stord, Inc.
Full Time position
Listed on 2026-06-02
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Senior Engineering Manager, AI

Leads a cross‑functional team building AI‑powered capabilities for both internal productivity tools and customer‑facing products. This role is accountable for predictable delivery, team development, and translating AI opportunities into shipped products that drive business value. The team operates within Stord's established architectural patterns while pushing the frontier of AI/ML applications in logistics and supply chain.

Key Responsibilities
  • Team Leadership & Development:
    Manage performance, career growth, and development for cross‑functional team; conduct regular 1:1s, performance reviews, and provide actionable feedback; build team culture balancing innovation with delivery accountability; recruit and onboard new members as team scales; develop technical capabilities across software engineering, data science, and machine learning disciplines.
  • Delivery Management & Execution:
    Own sprint planning, execution, and predictable delivery of AI initiatives; establish clear visibility into team capacity, work in flight, and blockers; maintain alignment with Stord's standard R&D processes; balance internal tooling development with customer‑facing AI features; coordinate dependencies with other engineering teams and product stakeholders.
  • Technical & Product Strategy:
    Translate AI opportunities into concrete, deliverable product initiatives; make informed technical trade‑offs between speed, quality, and innovation; collaborate with Principal Engineers on technical direction and architectural patterns; evaluate emerging AI/ML technologies and frameworks for team adoption; ensure AI solutions are production‑quality, scalable, and maintainable.
  • Cross‑Functional

    Collaboration:

    Partner with Product Management to prioritize AI roadmap and define success metrics; work with Engineering leadership to align AI initiatives with organizational technical direction; coordinate with other Engineering Managers on integration points and shared infrastructure; communicate progress, blockers, and trade‑offs transparently to stakeholders; evangelize and propagate the use of AI through the engineering organization.
Required Experience & Capabilities
  • Management

    Experience:

    3+ years engineering management experience leading teams of 5+ engineers; proven track record managing cross‑functional teams across multiple disciplines; strong delegation skills; established ability to deliver predictably while maintaining team morale and technical quality.
  • Technical Background:
    Hands‑on experience building AI/ML products or systems; understanding of modern AI/ML development lifecycle; sufficient technical depth to evaluate trade‑offs and guide architectural decisions; familiarity with MLOps, model deployment, and production ML systems; experience in product‑focused engineering organizations.
  • Organizational

    Skills:

    Strong process discipline – sprint planning, delivery tracking, stakeholder communication; ability to balance innovation with pragmatic delivery constraints; clear, transparent communication style; navigate ambiguity and set direction when requirements evolve; build alignment across teams without formal authority.
  • Domain Context (Nice to Have):
    Experience in logistics, supply chain, or operations‑heavy industries; background with Elixir or Type Script; understanding of AI applications in B2B or enterprise contexts.
Equal Opportunity Employment

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Stord participates in E-verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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Position Requirements
10+ Years work experience
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