Job Description
Job Description
About Maigrate
Maigrate is an AI consulting and transformation firm that partners with forward-thinking mid-market companies to replace legacy systems with a modern AI growth stack. We don't advise from the outside - we embed directly inside our clients' operations, learn their bottlenecks, and work alongside their teams to design and implement AI-powered workflows, automation, and infrastructure that drive real, measurable outcomes.
We are early-stage, growing fast, and assembling the team that will set the standard for how companies adopt AI.
About the Role
The Implementation Specialist is the primary client-facing technical lead from onboarding through early adoption. You work alongside the AI Strategist - they own the client relationship and vision, you own the execution and comprehension. Your job is to make sure clients don't just sign off on a solution, they actually understand it, use it confidently, and succeed with it. At the end of the day, adoption and impact are how we keep score - go-live is just the beginning. The real win is clients who are measurably better off because of what we built.
What You'll Do
Client Onboarding & Engagement
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Own the client experience by serving as primary contact during onboarding - guide clients through setup, training, and go-live
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Lead kickoff calls, status updates, and transition to post-implementation support
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Deeply understand each client's business challenges and goals - and tailor the onboarding experience around what actually moves the needle for them
Training & Enablement
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Train client teams on AI tools, workflows, and best practices
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Hand-hold clients through early adoption - build confidence, not just competence
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Stay current on Maigrate's evolving solutions to effectively educate clients on new capabilities as they roll out
Technical Support & Problem-Solving
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Test, debug, and validate implementations before and after go-live
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Act as a proactive liaison between clients and the internal technical team - identify and address blockers before they surface as problems
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Translate client challenges into clear, actionable briefs for engineering - you're the bridge between what the client is experiencing and what the team needs to fix it
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Escalate complex technical or configuration issues to internal specialists when needed
Client Success & Value Delivery
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Measure success by client outcomes, not just go-live dates - adoption, usage, and ROI are what matter
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Proactively identify opportunities where clients could get more value from their AI stack
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Collect and share client feedback with the internal team - what you hear in the field shapes what we build next
Project & Relationship Management
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Maintain project timelines and manage client expectations
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Visit clients on-site as needed to support training and adoption
What We're Looking For
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2+ years in SaaS onboarding, customer success, implementation, technical support, or a client-facing technical role
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Hands-on experience with AI tools - including Claude (Claude Code and CLI experience preferred), Lovable, and familiarity with platforms like Cursor, Replit, Zapier, n8n, and Vercel is a strong plus
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Enough technical depth to get into the system - not just describe it
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Ability to understand client challenges and work collaboratively with engineering to shape solutions
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Experience with SaaS platforms, system configuration, or software integrations
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A communicator who can make complex things feel simple
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Detail-oriented and personable - this role genuinely needs both
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Comfortable managing multiple clients and timelines without dropping the ball
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Familiarity with AI agent frameworks (e.g. Pydantic AI, Hermes) is a bonus but not required
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Experience with prompt engineering, context engineering, agent harnesses, and AI gateways for agent evaluation and observability is a strong plus
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Bachelor's degree in a related field preferred
Compensation Range: $90K - $140K