Senior AI Product Manager — Bengaluru

CredBoom; Hinoba-an; Hybrid; PHP 1,971,000 - 4,271,000; Full time

Benefits offered by this job

Stock options

Hybrid work setup

Job summary

SciSpace in Bengaluru, India, is seeking a Senior AI Product Manager to lead AI product development for its research-focused platform. You will own the SciSpace Agent from strategy through launch, collaborating with engineering, NLP, design, growth, and data teams to deliver AI-first experiences.

The role requires hands-on experience with LLMs, agentic AI systems, and prompt engineering, with a track record of delivering measurable product outcomes in a fast-paced environment.

Qualifications

• 4+ years of experience in software development, technical product management, technical leadership, or similar roles.
• Strong understanding of large language models (LLMs) and modern AI architectures.
• Practical knowledge of agentic AI systems and AI orchestration.
• Experience with prompt engineering, fine-tuning, and AI evaluation techniques.
• Experience taking products from concept and wireframes through MVP and final release.
• Hands-on experience with LangChain, LangGraph, or equivalent LLM agent frameworks.
• Ability to define and optimize AI product metrics such as accuracy, completion rate, latency, and user trust.
• Experience working with software engineering teams on product requirements and priorities.
• Experience leading cross-functional teams under tight deadlines.
• Strong analytical, problem-solving, and product decision-making skills.
• Excellent written and verbal communication skills.
• Strong ownership and willingness to work hands-on.

Responsibilities

• Own AI product strategy: define vision, roadmap, and strategy for the SciSpace Agent.
• Build agentic AI products: develop a modular and extensible agent platform for multiple research domains and user segments.
• Lead cross-functional execution: partner with engineering, NLP, design, growth, and data teams to deliver AI-first experiences.
• Drive prompt engineering: develop, test, and improve prompts for LLM-based and agentic systems.
• Build AI evaluations: create evaluation processes to measure agent quality, reliability, and performance.
• Translate user problems into clear product requirements and intelligent behaviors.
• Improve AI experiences: use user feedback, experiments, and learning loops to refine the product.
• Partner with engineers: help shape technical architecture, product priorities, designs, and implementation plans.
• Collaborate with designers: convert product requirements into actionable prototypes and user experiences.
• Define execution plans: break product requirements into clear, executable engineering tasks.
• Measure product performance: optimize metrics such as accuracy, completion rate, latency, and user trust.
• Drive innovation: combine analytical thinking, business judgment, and product strategy to create high-quality AI experiences.
• Take ownership: identify problems proactively and move projects forward without waiting for instructions.
• Improve communication: keep engineering, design, data, and other teams aligned throughout product development.

Skills

4+ years experience

LLMs

Agentic AI

Prompt engineering

Concept to MVP

LangChain

LangGraph

AI metrics

ENG collaboration

Cross-functional leadership

Analytical thinking

Communication

Hands-on ownership

Education

BS/MS in Computer Science, Engineering, or an equivalent discipline.

Tools

LangChain

LangGraph

Job description

Job Title: Senior AI Product Manager
Company: SciSpace
Location: Bengaluru, Karnataka, India
Job Type: Full-time
Work Model: Hybrid
Compensation: ₹30 lakh–₹65 lakh per year + stock options
Experience Level: Senior
Experience Required: 4+ years
Industry: Artificial Intelligence, SaaS, EdTech, Enterprise Software, Scientific Research

About SciSpace

SciSpace is an AI-native scientific research platform based in Bengaluru, India. The company builds AI-powered tools that help researchers understand, create, collaborate on, and publish research faster.

SciSpace is building an AI Research Co-Scientist to streamline research workflows using large language models and agentic AI. Its products serve researchers, academics, students, universities, publishers, and R&D teams worldwide.

Role Overview

SciSpace is hiring a Senior AI Product Manager in Bengaluru to lead AI product development for its research-focused platform. This role is ideal for a product leader with software engineering experience, strong LLM knowledge, and hands-on experience with agentic AI systems.

You will own the SciSpace Agent for Research Workflows from strategy through launch. You will work closely with engineering, NLP, design, growth, and data teams to build intelligent AI products that solve real research problems.

Key Responsibilities

• Own AI product strategy: Define the vision, roadmap, and product strategy for the SciSpace Agent.
• Build agentic AI products: Develop a modular and extensible agent platform for multiple research domains and user segments.
• Lead cross-functional execution: Partner with engineering, NLP, design, growth, and data teams to deliver AI-first experiences.
• Drive prompt engineering: Develop, test, and improve prompts for LLM-based and agentic systems.
• Build AI evaluations: Create evaluation processes to measure agent quality, reliability, and performance.
• Translate user problems: Turn ambiguous research challenges into clear product requirements and intelligent system behaviors.
• Improve AI experiences: Use user feedback, experiments, and learning loops to continuously refine the product.
• Partner with engineers: Help shape technical architecture, product priorities, designs, and implementation plans.
• Collaborate with designers: Convert product requirements into actionable prototypes and user experiences.
• Define execution plans: Break product requirements into clear, executable engineering tasks.
• Measure product performance: Optimize metrics such as accuracy, completion rate, latency, and user trust.
• Drive innovation: Combine analytical thinking, business judgment, and product strategy to create high-quality AI experiences.
• Take ownership: Identify problems proactively and move projects forward without waiting for instructions.
• Improve communication: Keep engineering, design, data, and other teams aligned throughout product development.

Skills and Qualifications

Required

• 4+ years of experience in software development, technical product management, technical leadership, or similar roles.
• Strong understanding of large language models (LLMs) and modern AI architectures.
• Practical knowledge of agentic AI systems and AI orchestration.
• Experience with prompt engineering, fine-tuning, and AI evaluation techniques.
• Experience taking products from concept and wireframes through MVP and final release.
• Hands-on experience with LangChain, LangGraph, or equivalent LLM agent frameworks.
• Ability to define and optimize AI product metrics such as accuracy, completion rate, latency, and user trust.
• Experience working with software engineering teams on product requirements and priorities.
• Experience leading cross-functional teams under tight deadlines.
• Strong analytical, problem-solving, and product decision-making skills.
• Excellent written and verbal communication skills.
• Strong ownership and willingness to work hands-on.

Nice to Have

• Experience building AI agents or research-focused AI products.
• Interest in scientific research, academic workflows, or research technology.
• Experience working with NLP or machine learning teams.
• Familiarity with AI SaaS or enterprise software products.
• BS/MS in Computer Science, Engineering, or an equivalent discipline.

Why Join SciSpace?

• Build products at the intersection of AI, scientific research, SaaS, and education technology.
• Own an AI agent product from strategy through execution.
• Work directly with engineering, NLP, design, data, and growth teams.
• Work on LLMs, agentic AI, prompt engineering, and AI evaluations.
• Join a high-ownership environment with frequent AI-powered product launches.
• Help shape products used by researchers and knowledge workers globally.
• Work in a hybrid setup in Bengaluru.
• Receive ₹30 lakh–₹65 lakh annual compensation plus stock options.
• Grow alongside a team building ambitious AI products for the future of research.

Who Will Thrive in This Role?

You will thrive at SciSpace if you enjoy solving ambiguous problems and turning them into useful products. You should be comfortable discussing both product strategy and technical implementation.

You do not need a background in research writing. However, curiosity about scientific research and AI-powered knowledge workflows is a strong advantage.

If you are excited about building LLM-powered agents, working closely with engineers, and taking AI products from idea to launch, this could be a great fit.