Technical Account Manager

Salary Range: 1500000 to 4000000 (Currency: INR) (Pay period: per-year-salary)

Technical capabilities required

• Must have strong knowledge of APIs and tools like Postman for testing and debugging.
• Basic coding knowledge in Python, JavaScript, or Java.
• Hands-on experience with prompt engineering — writing, testing, and optimizing prompts for AI tools (like GPT or Claude).
• Understanding of how AI models, SDKs, and integrations work in production.
• Good to have experience in data visualization tools like Amplitude or Grafana.
• Excellent debugging, analytical, and documentation skills.
• Familiarity with LLM behavior, prompt chaining, and evaluating AI output quality is a big plus.

What Would You Do :

• Collaborate with the sales, customer success, and engineering teams to understand user needs and translate them into effective AI prompts and workflows.
• Design and iterate on prompt templates for different customer use cases to improve accuracy, tone, and reliability of AI responses.
• Analyse AI performance, identify gaps, and fine-tune prompts or input structures to deliver better results.
• Maintain and update internal prompt libraries and AI agent configurations.
• Partner with the engineering team to test AI features, debug prompt issues, and provide structured feedback for model improvement.
• Work with Ops teams to ensure customer-facing AI agents behave consistently and deliver high-quality responses.
• Create internal documentation and training resources to help other teams use and improve prompts effectively.

Who Should Apply :

• 2–8 years of experience in technical, customer engineering, or AI-related roles.
• Strong curiosity about AI, LLMs, and how prompt design affects AI performance.
• Excellent written communication and analytical thinking.
• Technical background with the ability to test, debug, and interpret API or SDK outputs.
• Highly organized, detail-oriented, and comfortable managing multiple priorities.
• Experience collaborating across cross-functional teams (engineering, product, and customer success).
• Bonus: prior experience working with OpenAI, Anthropic, LangChain, or RAG-based systems.

Why 100ms.live

• You’ll be part of a small, fast-growing, engineering-first startup shaping the future of AI + video collaboration.
• Work alongside engineers who’ve built large-scale video and AI systems at Facebook and Hotstar.
• Freedom to experiment, learn, and lead AI innovation within the team.
• Solve real-world problems at the intersection of real-time communication and AI at scale.

Additional Information

• At 100ms, we place a strong emphasis on in-office presence to promote collaboration and strengthen company culture. Under the current policy, employees are expected to work from the office at least three days a week—Tuesday, Wednesday, and Friday—as an essential part of their role.

website

• www.100ms.live