🏢 Alchemyst AI
Engineer - Product Success
💼 Fulltime
📍 Remote (Singapore / Bengaluru)
⏰ Expired
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🎤 Interview Experience
Candidates report a 3‑4 round interview process at Alchemyst AI, starting with an HR screen, followed by a technical coding round (Python/JS), a product case study focusing on client success scenarios, and a final HR discussion. The difficulty is moderate, with emphasis on problem‑solving, communication, and ability to map business needs to technical solutions. Preparing with real‑world AI use‑case examples and clear articulation of past project impact helps.
🏢 Work Culture
Alchemyst AI promotes a remote‑first work culture with high flexibility, encouraging employees to manage their own schedules while meeting core collaboration hours. The startup environment offers rapid growth opportunities, mentorship from seasoned founders, and a balanced life through weekend gaming sessions and flexible work hours.
📚 Free Study Materials (4)
Aptitude Questions & Answers for Freshers
Covers quantitative and logical reasoning problems that are frequently asked in entry‑level technical interviews, helping you sharpen problem‑solving speed for Alchemyst AI's coding rounds.
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Alchemyst AI Recruitment Process – Candidate Experiences
First‑hand accounts of interview stages, question patterns, and preparation tips specific to Alchemyst AI, useful for tailoring your preparation.
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Comprehensive Interview Prep Platform
Offers curated interview guides, mock tests, and resume building resources that align with the technical and product‑focused rounds at Alchemyst AI.
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LeetCode Problem Set – Coding Practice
Extensive library of algorithmic challenges to practice coding in Python or JavaScript, essential for clearing the technical interview stage.
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🛠 Skills Required
Python
Software Development
MongoDB
Redis
Communication Skills
Written communication
TypeScript
JavaScript
✅ Eligibility Criteria
Bachelor's or Master's degree in Computer Science, Information Technology, Electronics & Communication, or related engineering streams. Minimum 60% aggregate (or CGPA 6.5/10). Fresh graduates from 2024‑2026 batches are preferred. No active backlogs at the time of joining. Strong written and verbal communication skills in English are mandatory.
🏆 Selection Process
Round 1: HR screening – resume review and cultural fit → Round 2: Technical interview – coding problems, system design, and product scenario questions → Round 3: Product/Client Success interview – case studies, client handling simulations → Round 4: Final HR discussion – compensation, joining formalities
📋 About the Role
Alchemyst AI is an emerging AI‑driven startup that focuses on making AI agents context‑aware with minimal friction. Headquartered in Singapore with a development hub in Bengaluru, the company operates with a lean team of 11‑50 highly skilled engineers, data scientists, and product specialists. Since its inception, Alchemyst AI has raised $347K in funding, most recently in November 2024, positioning itself to disrupt the healthcare and B2B SaaS landscape with next‑generation, agentic AI solutions. The firm’s vision is to unlock the power of contextual AI to accelerate business growth, reduce operational overhead, and deliver hyper‑personalised experiences across industries.
The Engineer – Product Success role sits at the intersection of product, engineering, and client success. As a core member of the founding team, you will be the bridge between demanding B2B customers and the technical delivery squad. Your day‑to‑day will involve deep‑dive client workshops, translating business problems into concrete AI‑powered workflows, and ensuring that the development team receives clear, actionable roadmaps. You will also own the post‑implementation lifecycle: monitoring adoption, reducing churn, and building referral pipelines that fuel sustainable growth.
Key Responsibilities:
1. Conduct discovery calls and workshops with clients to capture requirements for context‑aware AI agents.
2. Convert business objectives into detailed technical specifications and functional AI workflows.
3. Collaborate with developers to prioritize features, set sprint goals, and track delivery timelines.
4. Manage the fulfilment team’s roadmap, ensuring alignment with client expectations and company KPIs.
5. Proactively identify pain points, propose enhancements, and drive continuous improvement of the product.
6. Implement customer success metrics, monitor churn, and design retention strategies.
7. Lead upsell and referral initiatives based on successful deployments.
8. Serve as the voice of the customer in product planning sessions, feeding back insights to the product team.
9. Prepare and present regular status reports to stakeholders, highlighting milestones and risks.
10. Mentor junior team members and contribute to a culture of automation and operational excellence.
Tech Stack: Python, TypeScript/JavaScript, MongoDB, Redis, RESTful APIs, cloud platforms (AWS/GCP), and modern CI/CD pipelines. Strong communication skills and the ability to translate technical jargon into business value are essential.
Growth Path: Starting as a Product Success Engineer, high performers can evolve into Senior Product Success Manager, Head of Customer Success, or even transition into Product Management or Solutions Architecture roles as the company scales.
Why Join Alchemyst AI? You will work on cutting‑edge AI technology that is shaping the future of enterprise automation, enjoy a remote‑first culture with flexible hours, and be part of a fast‑growing startup where your impact is visible from day one. The company encourages continuous learning, offers weekend gaming sessions for team bonding, and provides a supportive environment for innovative thinking.
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📋 Quick Info
JOB ID
C031-J005
POSTED
16 Mar 2026
TYPE
Fulltime
BATCH
All Batches
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