Company Overview
10Pearls is a global, purpose-driven AI-Native digital engineering partner helping businesses re-imagine, digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, transformative digital products that leverage emerging technologies. 10Pearls' clients include Global 2000 enterprises, high growth mid-size businesses, and some of the most exciting start-ups from industries like healthcare, fintech, energy, education, real estate, retail, and hi-tech. Headquartered in the Washington DC metro area, 10Pearls has product engineering and software development centers in North America, Latin America, Europe, and South Asia. To learn more, visit https://10pearls.com.
Role
We are seeking a polished, strategic, and highly credible Senior Director of AI Solutions to serve as the senior pre-sales leader for our AI practice. This role is ideal for someone who excels in client-facing technical advisory, executive communication, and solution shaping, but who is not a quota-carrying seller or outbound hunter.
The Senior Director of AI Solutions will partner closely with our sales team to help articulate our AI capabilities, translate business problems into AI-enabled solutions, and guide enterprise customers through the early phases of their AI transformation journey. The ideal candidate combines strong technical fluency with exceptional storytelling, presence, and consultative problem-solving skills.
This individual must be comfortable navigating complex enterprise environments, engaging with C-suite leaders, and collaborating with engineers, data scientists, and delivery teams to craft compelling, high-value AI solutions.
Responsibilities
Strategic Pre-Sales & Deal Support
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Serve as the senior technical-sales advisor for enterprise opportunities, partnering with Account Executives and Client Partners throughout the sales cycle.
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Lead discovery sessions to understand customer needs, business challenges, and strategic priorities.
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Develop tailored AI solution approaches, conceptual architectures, and value propositions that align with customer goals.
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Support proposal development, RFP/RFI responses, demos, and proof-of-value scoping.
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Present and defend solutions to technical and business stakeholders, including C-suite leadership.
Executive Engagement & Value Articulation
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Lead solutioning conversations with senior executives to help them understand what AI can do for their business.
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Translate complex AI/ML concepts into clear, compelling narratives that resonate with non-technical leaders.
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Facilitate strategy workshops, use-case prioritization sessions, and AI roadmapping discussions.
Solution Design & Technical Credibility
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Collaborate with data science, engineering, and architecture teams to design viable, scalable solution approaches.
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Validate feasibility, scope, risks, and required capabilities for proposed AI solutions.
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Bring technical rigor to solution design while ensuring approaches remain aligned with business outcomes.
Cross-Functional Collaboration
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Work closely with sales, delivery, engineering, and product teams to ensure consistency in messaging, solution packaging, and go-to-market strategy.
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Provide critical market and customer insights to influence product roadmaps and service offerings.
Thought Leadership & Market Presence
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Represent the company in customer workshops, industry events, webinars, and analyst engagements.
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Contribute to thought leadership, whitepapers, and strategic content that supports sales and brand visibility.
Enablement & Best Practices
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Establish pre-sales methodologies, templates, and frameworks that improve solutioning efficiency and win rates.
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Mentor junior solution consultants and sales engineers on effective storytelling, discovery, and solution design techniques.
Requirement
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7+ years in AI/ML pre-sales, solutions architecture, technical consulting, or similar client-facing roles.
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Strong experience supporting complex enterprise sales cycles and collaborating with account teams.
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Ability to confidently engage and influence C-suite leaders and senior technical decision-makers.
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Deep understanding of AI/ML concepts, architectures, data pipelines, LLMs, and real-world implementation patterns.
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Exceptional storytelling and presentation skills; able to communicate technical ideas in clear business terms.
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Proven ability to translate ambiguous customer needs into structured, high-value solution proposals.
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Experience with regulated industries (healthcare, financial services, fintech, telecommunications, energy, industrials) is a strong plus.
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Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or related technical field preferred.
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