AI Deployment Strategist (SaaS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Deployment Strategist (SaaS): Designing, building, and deploying AI-powered planning solutions for strategic customers with an accent on translating complex business problems into scalable models. Focus on developing custom AI agents, driving product adoption, and bridging the gap between customer needs and engineering teams.
Location: Must be based in Austin, Texas (Hybrid)
Company
is an AI-powered business planning platform that helps organizations transform their planning processes through advanced modeling and automation.
What you will do
- Translate complex business requirements into scalable models using AI agents and advanced logic.
- Design and deploy custom AI agents tailored to specific customer workflows and decision-making processes.
- Partner with business and technical stakeholders to act as a trusted advisor and drive platform adoption.
- Develop prototypes and experimental AI use cases to address emerging customer needs.
- Collaborate with Product and Engineering teams to translate customer feedback into actionable product requirements.
- Define repeatable patterns and frameworks for AI deployments across the customer base.
Requirements
- Engineering or computer science degree from a top-tier institution.
- 2–5 years of experience in a technical, client-facing, or implementation role.
- Strong analytical skills with experience in data modeling, business logic design, or applied AI/ML workflows.
- Proficiency in formulas, structured modeling, and programming (Python or SQL).
- Familiarity with SaaS platforms, APIs, data pipelines, and system integration concepts.
- Ability to manage multiple stakeholders and projects in a fast-paced environment.
Nice to have
- Background in FP&A, financial modeling, or business planning workflows.
- Prior experience with or similar planning platforms.
- Fluency in additional European languages.
Culture & Benefits
- Opportunity to work at the intersection of engineering, data, and business strategy.
- Collaborative environment focused on innovation and solving complex customer challenges.
- Commitment to diversity, inclusion, and fostering an innovative workplace.
- Direct impact on product evolution through close collaboration with engineering teams.
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