Solutions Engagement Manager (AI/ML) at careers.azx.io in Seattle, WA

Job description

• Application
• About AZX
• We are seeking a Solutions Engagement Manager — a technical, outcomes-driven individual sitting at the intersection of client delivery and engineering. You will be someone who can embed with clients, deeply understand the problems they’re trying to solve, and partner hands-on with our engineering team to build and ship technical solutions that deliver real value.

Responsibilities

• Partner directly with clients to understand their desired outcomes — not just their stated requests — and translate that understanding into clear, actionable direction for the engineering team.
• Lead engineers and act as the technical product manager for your accounts: define what should be built, why it matters, and how success will be measured. This includes reviewing system architecture, evaluating data pipeline designs, assessing API integrations, and/or doing technical requirements analysis before handing work to engineers.
• Push back constructively on unclear or low-value requests. You are not an order taker — you’re expected to dig into the “why” behind a client ask before it becomes engineering work.
• Hold the development team accountable to commitments and quality, while working as a partner to engineering rather than a manager of it — this is not an Engineering Manager role, and you won’t be expected to carry that accountability alone.
• Run the core blocking-and-tackling of project delivery: planning, coordination, budget tracking, forecasting, and keeping every workstream honest against its deliverables.
• Keep the broader strategic picture in mind even though strategy work is not the current focus of this role — know how your projects ladder up to client and company goals.
• Use and help refine the project management processes, tooling, and automation that our operations function is building out, and give feedback on where the basics are still breaking down.

Requirements

• 4+ years of project, program, and/or product management experience leading technology initiatives with mid- to large-size customers.
• Hands-on experience working with or deploying AI, machine learning, or advanced analytics solutions, with the ability to translate between technical and business stakeholders.
• Strong technical literacy — able to engage deeply with engineers on system architecture, APIs, data pipelines, and ML model deployment, while maintaining strategic oversight.
• Proven track record delivering custom-built software and data solutions — not just SaaS deployments — with measurable business impact.
• Domain expertise in one or more of our critical industries (energy, utilities, real estate, logistics, climate, or infrastructure), with an understanding of their unique data, regulatory, and operational challenges.
• Demonstrated success managing complex, multi-stakeholder initiatives in environments of ambiguity and rapid change.
• Familiarity with cloud-native environments (AWS, GCP, or Azure), CI/CD pipelines, and modern software development practices.
• A tenacious problem solver — someone who gets energized by ambiguous, technical problems and doesn’t stop at the first surface-level answer.
• A bias toward outcomes over tasks: you ask “what is this client actually trying to achieve” before you ask “what did they ask us to build.”

Skills

Required

• Project management
• Program management
• Product management
• Technical literacy
• AI/ML deployment
• System architecture
• API integrations
• Data pipelines
• ML model deployment
• CI/CD pipelines
• Modern software development practices
• Stakeholder management

Benefits

• Be part of a fast-growing, profitable, mission-driven company with industry-leading clients tackling the massive opportunity of AI transformation in critical industries.
• Competitive early-stage startup compensation (based on capabilities, experience, and location)
• Bonus eligibility
• Health insurance with meaningful coverage for dependents
• Flexible paid time off
• Equity
• Fully remote culture with a cluster of teammates in Seattle