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2 Job openings at Reap
AI Integration Specialist

Singwad, Gujarat, India

0 years

Not disclosed

On-site

Full Time

We’re looking for a curious, inspiring, and forward-thinking AI Integration Specialist , to help us unlock the power of AI across every part of Reap. This is not your average role. It’s for someone who sees the future and is ready to bring it into the now. At Reap, we believe in human potential, and we know that AI is one of the greatest amplifiers of that potential. We’re looking for someone who can help live and breathe AI into our culture, workflows, and mindset. You’ll spend your days exploring what’s possible, identifying where AI can make us faster, sharper, and better and in ensuring that every single person at Reap feels AI-enabled, empowered, and excited about the future. The ideal candidate is part strategist, part educator, part builder. You’re someone who gets excited about the “how” and the “why,” who naturally earns trust, and who sees opportunities where others see friction. You love tinkering with tools, translating complex ideas into simple ones, and inspiring people to try new things. Key Responsibilities AI Strategy & Integration Collaborate with teams across functions to understand their day-to-day and identify where AI can add real value. Translate workflows into opportunities, where AI can boost efficiency, clarity, or creativity. Design and lead pilots of AI solutions and be at the forefront of new AI developments. Enablement & Education Demystify AI through engaging trainings, quick demos, challenges, etc, helping every individual at Reap feel confident using AI in their work. Build out internal resources (guides, templates, playbooks) so teams can independently explore and adopt tools at their own pace. Identify “AI champions” within teams and empower them to spread best practices organically. Experimentation & Innovation Keep your finger on the pulse of emerging tools and trends and proactively introduce ones that could give Reap a competitive edge. Create safe, low-stakes environments for testing new ideas, encouraging a culture of experimentation, not perfection. Track the impact of AI initiatives and help the team continuously evolve how we work. Qualifications 3–5+ years of experience in AI integration, digital transformation, innovation, or operations, ideally within fast-paced or global companies. Deep knowledge of modern AI tools (e.g. ChatGPT, Claude, Notion AI, GitHub Copilot, etc.) and enthusiasm for staying ahead of the curve. A strong communicator who can translate technical ideas into human language and teach with empathy and clarity. Track record of identifying problems, designing solutions, and driving adoption across diverse teams. Comfortable working across functions, time zones, and levels, from individual contributors to execs. Highly organized, self-directed, and excited by the unknown. As with many roles in fast-growing teams, responsibilities may evolve over time. The ideal candidate is comfortable with change and open to taking on ad-hoc projects or additional responsibilities based on team needs and personal growth interests. After submitting your application, please check your inbox for a confirmation email. If you don't see it, kindly check your spam or junk folder and adjust your settings to ensure future communication reaches your inbox. You can follow the steps here. Show more Show less

Senior Analytics Engineer

Mumbai

3 years

INR 8.0 - 12.0 Lacs P.A.

Work from Office

Full Time

About Reap Reap is a global financial technology company headquartered in Hong Kong with employees across multiple countries We enable financial connectivity and access for businesses worldwide by combining traditional finance with stablecoins for efficient money movement Through our stablecoin-powered corporate cards, payments, and expense management tools, we streamline financial operations and help businesses scale Our APIs enable businesses to integrate stablecoin-enabled finance into their own products and services?from issuing Visa cards to facilitating cross-border payments Backed by leading investors including Index Ventures and HashKey Capital, Reap is building the future of borderless, stablecoin-enabled finance Role Overview As part of a rapidly growing data team, we are looking to hire Senior Analytics Engineers to contribute to our dynamic and innovative projects We are looking for someone who is ready for the challenge, is solutions-oriented, and thinks out of the box The ideal candidate should be passionate about using data to drive impact across the organization and a collaborative mindset to work effectively within cross-functional teams If you are enthusiastic about pushing boundaries, solving complex problems, and making a significant impact, we encourage you to apply and be part of our exciting journey in shaping the future of our products Responsibilities Design and development: Design, develop, deploy and maintain analytics solutions that allow business teams to make data-driven decisions Evaluate, adopt, integrate and build on analytics tools Collaboration: Collaborate with cross-functional teams to gather and analyze business requirements, development and delivery of analytical models and reporting solutions Specialize in different business domains, building deep expertise and anticipating the needs of business verticals Lead and enable business teams to perform self-service analytics Continuous learning: Recommend and evaluate technologies to introduce new analytics capabilities Observability and Support: Perform data analysis and troubleshooting to identify root causes of issues and implement solutions To Be Successful You Will Need To Have Experience: 5+ year work experience in data and analytics Technical proficiency: Experience with data visualization tools such as Power BI, Tableau, or Looker Problem solving: Strong analytical and problem-solving skills, with a keen attention to detail and a passion for troubleshooting and debugging Communication: Excellent communication and collaboration skills, with the ability to work effectively in a team environment Experience in credit cards, payments, or fintech industries is a plus Exposure to AI, machine learning, and predictive analytics is highly desirable After submitting your application, please check your inbox for a confirmation email If you don't see it, kindly check your spam or junk folder and adjust your settings to ensure future communication reaches your inbox You can follow the steps here

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