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Job Description & How to Apply Below
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About Provectus
Provectus () is a leading AI and data consultancy that enables organizations to harness cutting-edge technology for digital transformation. Partnering with global enterprises and startups, we deliver end-to-end solutions in artificial intelligence, machine learning, and cloud computing. As an AWS Premier Tier Partner, we bring deep expertise in leveraging cloud technology to drive impactful change, supporting businesses in achieving their goals through AI.
Provectus is a trusted partner to clients and a recognized leader in AI-driven innovation.
Position Overview
We are looking for a skilled and strategic AI Sales Executive (Field Chief AI Officer, AI Client Director) to join our leadership team. This role combines strong technical expertise with a commercial mindset, aligning AI, Data, and Machine Learning capabilities with customer needs to deliver scalable and transformational solutions. In this director-level position, you will work closely with clients to define their AI strategy, prioritize use cases that drive impactful business outcomes, and facilitate solution deployment.
A critical part of this role will be contributing to Provectus’s growth by driving revenue through high-value client engagements.
Key Responsibilities:
Strategic Leadership and Growth
Win new AI engagements by delivering deep technical expertise and fostering strong client relationships. Drive impactful workshops and prototype development to facilitate client buy-in for scalable AI-powered solutions.
Act as a technical advisor and strategic partner for SVP and C-level executives, crafting AI strategies aligned with their business goals and Provectus’s capabilities.
Identify emerging technologies and new high-value opportunities, building a strong pipeline of client-focused projects that generate revenue and enhance Provectus’s market position.
Manage the R&D backlog, helping to develop and monetize AI solutions and industry blueprints.
Business Development and Sales Support
Build and maintain relationships with executive-level stakeholders, guiding large-scale AI projects and fostering long-term engagements.
Support sales efforts by providing in-depth technical insights during client discussions, and helping close deals with significant revenue potential.
Facilitate AI, Data, and ML-focused discussions with clients, uncovering opportunities for cross-selling and upselling Provectus’s services.
Shorten the sales cycle by leveraging R&D, orchestrating efficient project life cycles from presales to delivery, and accelerating client buy-in.
Project and Engagement Management
Utilize Provectus solutions and technology partnerships to design and implement AI-driven business solutions that deliver measurable results.
Engage with client leaders to ensure smooth adoption of deployed solutions, managing project risks to maintain satisfaction and secure future business.
Conduct regular project reviews and provide innovative, scalable AI/ML solutions that can be replicated across Provectus’s client base.
Ecosystem and Partnerships
Develop strategic partnerships with vendors, technology providers, and business partners, creating opportunities for revenue sharing.
Leverage partnerships with AWS, GCP, and other technology leaders to expand Provectus’s service offerings and reinforce joint go-to-market initiatives.
Thought Leadership and Evangelism
Represent Provectus at conferences, workshops, and public events to build the sales pipeline and enhance industry visibility.
Create thought leadership content, such as whitepapers and blogs, to attract and engage high-value clients.
Share best practices in AI, ML, and cloud solutions, positioning Provectus as a trusted provider for complex, transformative AI projects.
Qualifications:
Enterprise Sales Leadership:
Proven track record driving revenue through complex AI/ML solution-based sales, with demonstrated success in executive-level engagement, strategic solution development, and consistent achievement of sales targets in enterprise technology.
Technical Expertise:
Deep knowledge of AI/ML architectures, MLOps frameworks, and end-to-end ML lifecycle…
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