Our Mission
Rebuild how the world works, to make institutions work better for the people they serve.
About Brain Co.
Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.
Why Now
Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.
Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.
You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now.
About the Role
We’re growing our AI Deployment team in Abu Dhabi and Doha. In this role, you'll work at the intersection of AI product delivery and customer engagement helping define, shape, and drive AI-powered solutions that address mission-critical challenges in finance, energy, and government sectors.
You’ll collaborate closely with data scientists, engineers, and senior stakeholders to translate complex business needs into actionable technical solutions. As the voice of the customer, you’ll lead agile delivery cycles, ensure high-quality outcomes, and foster long-term relationships built on trust and impact.
Key Responsibilities
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Define & Prioritize Features: Work with customers to identify high-impact problems and define AI-driven product features to address them.
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Translate Business Needs: Convert customer requirements into clear technical specifications and use cases for internal teams.
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Lead Agile Delivery: Oversee agile sprints and project timelines, ensuring timely and high-quality solution delivery.
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Drive Adoption: Travel regionally to engage with users, onboard stakeholders, and gather direct product feedback for continuous improvement.
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Collaborate Cross-Functionally: Serve as the bridge between customers and internal teams including data scientists, engineers, and product leads.
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Act as Customer Champion: Build trusted relationships and ensure the long-term success of deployed solutions.
What We’re Looking For
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Experience:
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3-5 years in customer success, product management, delivery consulting, or technical account management.
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Experience at top-tier product or consulting organizations (e.g., Palantir, Google, Amazon, BCG, McKinsey, etc.)
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Technical Fluency:
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Strong understanding of AI/ML concepts, data workflows, and model deployment processes.
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Ability to discuss and assess technical trade-offs with engineering teams.
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Communication & Relationship Skills:
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Proven ability to build rapport and trust with enterprise customers and senior stakeholders.
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Excellent written and verbal communication, including the ability to simplify technical details for non-technical audiences.
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Execution & Ownership:
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Hands-on mindset with a bias for action and a strong sense of ownership.
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Experience managing agile product or project delivery cycles.
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Mobility:
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Willingness to travel within the region to meet customers and oversee deployments on-site.
Why Join Us?
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Work on transformative AI projects with high-impact clients.
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Join a collaborative, mission-driven team at the forefront of applied machine learning.
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Operate in a fast-paced, agile environment with real-world outcomes.
Compensation
We pay competitively for every role and back that with meaningful equity, because we want the people building Brain Co. to genuinely share in what we build together. Beyond salary and equity, we invest in country-specific benefits because we want our team to feel taken care of, not only compensated. The annual base salary range for this role is $145,000 - $300,000. We publish this range for every role, as a matter of policy regardless of whether local law requires it. Actual pay will depend on skills, scope, and experience
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