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We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
AI Transformation Manager
Location
United States
Posted
75 days ago
Salary
$155K - $175K / year
Seniority
Lead
No structured requirement data.
Job Description
AI Transformation Manager
Jobgether
Role Description We are currently looking for a Remote AI Transformation Advisory Manager. In this role, you will play a crucial part in guiding organizations through their AI journey. By leveraging your expertise in strategy, technology, and leadership, you will empower clients to harness artificial intelligence for transformative growth. Your knowledge will help in reshaping business processes and enhancing decision-making while collaborating with executives and teams. This position offers a unique opportunity to drive meaningful change across various industries as you create innovative solutions centered around AI. - Lead client engagements focused on defining AI strategy and implementation plans. - Shape and drive go-to-market initiatives for AI solutions. - Oversee multi-disciplinary teams delivering AI projects. - Advise senior executives on investment prioritization and AI governance frameworks. - Define and manage AI solution portfolios. - Design frameworks to automate knowledge work and enhance productivity. - Capture market feedback and refine AI product concepts. - Promote responsible AI practices throughout projects. - Mentor and develop the consulting team in AI expertise. - Contribute to business growth through thought leadership and client management. Qualifications - Bachelor’s degree required; advanced degree preferred. - 7–10 years of experience in consulting or digital strategy roles. - 3+ years leading AI/ML solution delivery. - Ability to bridge business and technology effectively. - Strong understanding of AI platform ecosystems. - Proven leadership in managing cross-functional teams. - Excellent communication and storytelling skills. Requirements - Bachelor’s degree required; advanced degree preferred. - 7–10 years of experience in consulting or digital strategy roles. - 3+ years leading AI/ML solution delivery. - Ability to bridge business and technology effectively. - Strong understanding of AI platform ecosystems. - Proven leadership in managing cross-functional teams. - Excellent communication and storytelling skills. Benefits - Competitive salary range between $155,000 - $175,000 USD. - Opportunity for annual incentive compensation. - Participation in benefit plans including medical, dental, and vision. - Access to wellness programs. - Opportunity for professional growth and development.
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Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Position Overview: We are seeking an exceptional individual to join our team as an AI/ML Specialist looking after the UK region in the Applied Field Engineering team. The ideal candidate will combine deep technical expertise with outstanding interpersonal skills to drive sales and innovation, align technical solutions with customer needs, and foster collaboration across teams. This position demands a thought leader who is equally comfortable discussing technical architectures and shaping strategic decisions. KEY RESPONSIBILITIES: - Solution Selling: - The role will be aligned to the sales engineering organisation, and hence the successful candidate should be skilled in technical sales. - Strategic Leadership: - Act as a trusted advisor to customers and internal stakeholders, guiding them on how our solutions align with their business goals. - Support the adoption of features, best practices and technologies in the broader Snowflake ecosystem to maintain a competitive edge. - Technical Expertise: - Influence the design and implementation of complex AI/ML solutions, ensuring scalability, performance, and security. - Provide hands-on technical guidance to AI/ML teams during critical projects. - Stay updated on industry advancements, identifying opportunities to integrate cutting-edge technologies into our offerings. - Customer Engagement: - Deliver compelling technical presentations, workshops, and demonstrations to customers and partners. - Troubleshoot and resolve customer challenges, leveraging a deep understanding of their workloads. - Team Collaboration: - Collaborate with product teams, fostering a culture of innovation, learning, and excellence. - Team up with sales, marketing, and the wider snowflake team as well as GSIs, CSPs and ISVs to ensure alignment on customer objectives. - Contribute to thought leadership through blog posts, white papers, quickstarts and industry events. TECHNICAL REQUIREMENTS: - Essential - Generative AI: Experience or understanding of using LLMs and related technology (e.g. vector dbs, embeddings etc.) for either chat assistants or unstructured data processing. Interest in emerging trends in the field such as Agents - Machine Learning: Experience in the standard Python stack including but not limited to pandas, numpy, sklearn, matplotlib, pytorch etc. - Programming: Demonstrated ability to code working AI/ML prototypes in Python (and, ideally, Snowpark Python) - Solution Design: Demonstrated ability to architect complex, scalable solutions across diverse industries - Highly Desirable - Snowflake Experience: experience with the Snowflake AI/ML ecosystem - Data Engineering: while not strictly part of the role, experience in the adjacent/overlapping discipline is beneficial - ML Ops: Experience in ML Ops including feature stores, model registries, observability - DevOps and CI/CD: Experience of DevOps practices and CI/CD pipelines PERSONAL ATTRIBUTES: - Visionary Thinking: Ability to anticipate industry trends and align technical sales strategies accordingly. - Exceptional Communication: Skilled at translating complex technical concepts into accessible language for diverse audiences. - Customer-Centric: Deeply invested in understanding and addressing customer needs. - Collaborative Leadership: Proven ability to inspire, mentor, and unify cross-functional teams. - Resilience: Comfortable navigating ambiguity, making tough decisions, and adapting to rapid changes. - Integrity and Empathy: Embodying transparency, honesty, and understanding in all professional interactions. - Internal Motivation: Demonstrates self-drive, passion, and a proactive approach to achieving goals and continuous improvement. Why Join Us? This is a rare opportunity to shape the future of our product initiatives while having a meaningful impact on our customers and the industry. If you are a passionate technologist with a strategic mindset and a people-first approach and enjoy selling, we invite you to bring your expertise and vision to our team. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
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• Conducts needs assessments across departments to identify opportunities where AI tools can improve operational efficiency or research outcomes. • Monitors emerging AI technologies and evaluates their relevance to Alimentiv's operational context. • Develops roadmaps that align AI opportunities with organizational priorities and realistic implementation timelines. • Synthesizes industry trends into actionable recommendations tailored to Alimentiv's business environment. • Evaluates AI platforms and tools against defined use cases, documenting findings in structured assessments. • Develops lightweight solution prototypes to validate feasibility before full implementation is pursued. • Prepares business cases that articulate the value and feasibility of proposed AI initiatives for non-technical stakeholders. • Designs and delivers structured training programs that build AI proficiency across diverse teams and skill levels. • Produces plain-language reference materials, guides, and job aids that support independent tool use. • Facilitates workshops and demonstrations that connect AI capabilities to team-specific workflows. • Provides hands-on support during tool rollouts to accelerate user proficiency and resolve adoption barriers. • Identifies and addresses adoption obstacles through targeted follow-up and adjusted delivery approaches. • Establishes communities of practice to enable peer learning and sustained engagement with AI tools. • Monitors usage data and initiates proactive outreach where additional training or support is indicated. • Designs and builds proof-of-concept AI solutions that demonstrate practical value to specific business functions. • Develops working prototypes using no-code and low-code AI platforms to illustrate how AI can be applied to real operational challenges. • Presents and demonstrates prototype solutions to stakeholders, translating outputs into clear business value. • Builds demonstrations and prototypes using no-code and low-code AI platforms; production development and system integration remain the responsibility of technical IT and development teams. • Gathers departmental requirements and communicates them to technical teams in plain language. • Coordinates cross-functional stakeholders to ensure AI tool configurations align with operational workflows. • Develops standard operating procedures that integrate AI tools into established team workflows. • Establishes success metrics that capture both adoption rates and measurable business impact. • Analyzes usage and performance data to assess initiative effectiveness and identify areas for improvement. • Prepares reports that communicate AI initiative outcomes clearly to leadership audiences. • Conducts post-implementation reviews to capture lessons learned and apply findings to future rollouts.
Automation Architect (n8n | AI Systems | Client-Facing)
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