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Newbrandlight

AI Strategist

brandlight is looking for a visionary AI Strategist to guide the next generation of our products. This role requires blending deep technological understanding with sharp business acumen. The core mission involves researching emerging AI capabilities (like LLMs and multimodal models) and translating that research into actionable product roadmaps. Key responsibilities include conducting market white papers, identifying strategic use cases for clients, building proof-of-concepts with data science teams, and collaborating cross-functionally with engineering to ensure feasibility. The ideal candidate will have a background in computer science, AI ethics, or technology consulting, and must be passionate about how artificial intelligence reshapes industries. Direct experience leading AI product initiatives is highly valued.

brandlight New York City, United States

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

1800

Question set

250

Duration

Permanent

Focus areas

Artificial Intelligence StrategyProduct ManagementMarket AnalysisGenerative AI

People Also Ask (FAQs)

What is the last date to apply for AI Strategist?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for AI Strategist?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the brandlight test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the AI Strategist test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Artificial Intelligence Strategy, Product Management, Market Analysis, Generative AI.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

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