TL;DR

Director, Cloud Transformation, Data and AI Presales (Cloud/AI/Data): Driving strategic presales activities, solution architecture, and advisory engagements for cloud, data, and AI transformation with an accent on leading complex multi-million-dollar deals and developing GTM motions. Focus on integrating generative AI/LLM solutions into practice offerings and guiding customers on AI readiness assessments linked to data modernization.

Location: Remote (United States). Candidates must be legally allowed to work in the US.

Salary: $202,100 - $355,410 a year

Company

%hirify_global% is a multicloud solutions expert combining expertise with leading technologies across applications, data, and security to deliver end-to-end solutions.

What you will do

Drive strategic presales activities and solution architecture for Cloud, Data, and AI transformation.
Lead and mentor advisory, enterprise, and solution architects, focusing on client outcomes.
Engage directly with CxO-level stakeholders to define business problems and value opportunities.
Oversee the design, implementation, and delivery of AI, Data, App Modernization, Managed Services, and Cloud Migration solutions.
Create service offerings, packages, and go-to-market strategies with product marketing.
Represent the company at public events and contribute to thought leadership in generative AI and modern data platforms.

Requirements

Experience in presales leadership, solution architecture, and advisory for AI/Data/Cloud Transformation in US and UK markets.
Proven record of securing multi-million-dollar transformational deals.
Deep technical expertise in AI, Data Engineering, App Modernization, Managed Services, and Cloud Migration.
Experience with technology partners and hyperscalers (e.g., AWS, Palantir, Databricks, Snowflake).
Strong business acumen, stakeholder management, communication, and negotiation skills.
Must be legally allowed to work in the US (not sponsorship eligible).

Nice to have

Leadership roles in presales or solution architecture.
Hands-on experience with data engineering stacks and ML frameworks.
AWS Solutions Architect or AI/ML certifications (e.g., AWS ML Specialty, SnowPro).

Culture & Benefits

Opportunity to be a valued member of a winning team on an inspiring mission.
Commitment to equal employment opportunity and diversity.
Support for disabilities or special needs requiring accommodation.
Work from anywhere within the United States.

Hiring process

AI tools may support parts of the hiring process (reviewing applications, analyzing resumes, assessing responses).
Final hiring decisions are made by humans.