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Product Manager (AI Platforms) at Lexsi Labs

NEW

Location

Bengaluru, Karnataka, India

Job type

Full time

Posted 1 day ago

Description

About the job

Lexsi Labs is one of the leading frontier labs focusing on building aligned, interpretable, and safe Superintelligence. Most of our work involves creating new methodologies for efficient alignment, interpretability-led strategies, and foundational model research across enterprise and tabular data. Our mission is to build AI systems that are powerful, transparent, and trustworthy by design.

Our team thrives on deep technical rigor, hands-on ownership, and a strong bias toward building systems that actually work in production. At Lexsi.ai, we operate with a flat structure, fast feedback loops, and an expectation that everyone deeply understands what they ship.

As a Product Manager at Lexsi.ai, you will own the end-to-end lifecycle of ML-driven platform features. This is not a coordination role. You will be responsible for problem definition, technical clarity, correctness, evaluation, and quality. You will work closely with AI Researchers, AI engineers, SDEs, and QA to ensure every feature behaves as intended, is testable effectively, and delivers real value to users.

We are explicitly looking for someone with a strong AI/ML background who has grown into product ownership, not a traditional PM learning ML on the job.

Responsibilities

Own product requirements and execution for AI/ML and platform-heavy features from problem definition to production rollout.
Translate complex AI behavior into precise, testable product specifications and acceptance criteria.
Work deeply with AI Researchers to collect the details of the components created and AI engineers and SDEs to ensure implementations match intended algorithms, assumptions, and constraints.
Define what “correct” means for each feature, including metrics, evaluation logic, edge cases, and failure modes.
Work with QA and testing teams to design meaningful test strategies that reflect real ML behavior, not just happy paths.
Break down ambiguous product roadmaps or experimental ideas into shippable, scalable product increments.
Prioritize features and technical debt based on user impact, system risk, and long-term platform scalability.
Act as the quality bar-raiser by catching conceptual gaps early and preventing flawed features from shipping.

Requirements

Prior experience as an ML engineer, data scientist, or research engineer.
Experience building developer platforms, ML tooling, or infra-heavy products.
Strong foundation in Deep Learning, LLMs, machine learning or data science with hands-on experience building or deploying AI systems.
Familiarity with testing strategies for ML systems, including offline evaluation, simulation, and monitoring.
Experience working closely with AI engineers on model behavior, evaluation, and performance trade-offs for multiple modalities - LLMs, Tabular, Text and Agentic systems
Ability to reason about ML correctness, limitations, and failure modes, not just UX or timelines.
Experience owning product features end-to-end, either formally as a PM or informally as a technical lead.
Comfortable writing precise specs, acceptance criteria, and evaluation plans that engineers and testers can execute against.
Strong communication skills across research, engineering, QA, and leadership without dilution of technical meaning.

Nice to Have

Exposure to interpretability, alignment, model observability, or AI safety work.
Ex Founder or Startup experience where product ambiguity and technical depth coexist.

What Success Looks Like

Features ship with clear intent, correct behavior, and well-defined evaluation criteria.
QA and testing teams understand what they are testing and why it matters.
Engineering rework drops because specs capture real constraints upfront.
Product velocity increases without sacrificing correctness or trust.

PS: AI Background is a must for this role.

Lexsi Labs

lexsi.ai

21-50

AI-First Product Management

Next batch starts on 30 Mar

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Lexsi Labs

lexsi.ai

21-50

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Frequently Asked Questions

What are the responsibilities of a Product Manager (AI Platforms) at Lexsi Labs in Bengaluru?

What qualifications are needed for the Product Manager (AI Platforms) position at Lexsi Labs?

Where is Lexsi Labs located and what is the work environment like for a Product Manager?

Is the Product Manager (AI Platforms) position at Lexsi Labs a full-time role?

Does the job offer remote work options or does it require relocation to Bengaluru, India?

What is the salary range for the Product Manager (AI Platforms) position at Lexsi Labs?

How can one apply for the Product Manager (AI Platforms) job at Lexsi Labs?

What type of products does Lexsi Labs develop, and how does AI play a role?

Why Work at Lexsi Labs

Lexsi Labs, located in the vibrant tech hub of Bengaluru, India, is a dynamic and innovative company focused on advancing artificial intelligence technologies. As a company at the forefront of AI platform development, Lexsi Labs offers an environment where creativity and innovation are not just encouraged but expected. As a potential workplace for a Product Manager specializing in AI Platforms, Lexsi Labs provides exciting opportunities to work on cutting-edge technology projects that can help shape the future of AI. Employees at Lexsi Labs enjoy a collaborative work culture where ideas are freely exchanged and innovation is born from teamwork.

Working at Lexsi Labs means you will be surrounded by some of the brightest minds in the industry. It's a place where continuous learning and improvement are part of the culture. In terms of professional growth, Lexsi Labs supports its team members with opportunities for career advancement and skills development. Moreover, Bengaluru's thriving tech ecosystem provides numerous additional networking and growth opportunities, making it a strategic location for tech professionals looking to make a significant impact in AI and product management.

What's It Like to Work at Lexsi Labs

At Lexsi Labs, you will experience a workplace that combines the exciting pace of a startup with the solid foundation of an established entity. The company is small enough (with a team size of 21-50 employees) to foster a close-knit environment, yet large enough to ensure you have the resources needed for success. The culture here is defined by its emphasis on problem-solving, innovation, and customer-centric product development.

Working at Lexsi Labs means you will not only be contributing to groundbreaking projects but also participating in regular brainstorming sessions, developmental workshops, and team-building events that bring the company together. At Lexsi Labs, every team member’s input is valued, allowing for a diverse set of ideas to be reflected in every decision-making process. This collaborative spirit is matched by a commitment to balancing professional challenges with a supportive working atmosphere.

What's It Like to Work as a Product Manager (AI Platforms) at Lexsi Labs

As a Product Manager focused on AI Platforms at Lexsi Labs, your role will be pivotal in driving the product vision and strategy for AI technologies. You will be responsible for overseeing the full product lifecycle—from conceptualizing new product features to defining requirements and priorities, all the way through to deployment and optimization. The role demands both a deep understanding of AI technology and insights into market trends, ensuring that the platforms developed here are competitive, scalable, and aligned with user needs.

Your work will be characterized by a fast-paced, dynamic environment where strategic thinking and technical expertise are key. As part of your responsibilities, you’ll closely collaborate with cross-functional teams including engineering, data science, marketing, and sales to align on product goals and deliver value to the clients. You will be expected to harness your senior-level expertise to mentor younger team members, advocate for best practices in product management and AI development, and contribute to the growth of Lexsi Labs’ product portfolio.

Product Manager (AI Platforms) Interview Questions at Lexsi Labs

When preparing for a Product Manager (AI Platforms) interview at Lexsi Labs, candidates can anticipate questions that delve into both their technical proficiency and strategic prowess. Some example questions might include:

Can you describe your experience managing an AI product lifecycle?
How do you prioritize features when building a new AI platform?
Describe a challenging AI project you managed and how you overcame obstacles.
How do you ensure that an AI product aligns with customer needs and market trends?
What strategies do you use to stay updated with developments in AI technology?
Explain a time you had to pivot a product strategy. What was the outcome?
How would you approach building a product roadmap for an AI platform at Lexsi Labs?

Product Manager (AI Platforms) Interview Preparation at Lexsi Labs

To succeed in your interview for a Product Manager (AI Platforms) role at Lexsi Labs, thorough preparation is essential. Start by gaining a comprehensive understanding of the company’s products and market position. Familiarize yourself with recent advancements in AI technology and how these can be applied to platform development. Reviewing case studies where your product management skills were applied to AI projects will help you articulate your experience convincingly. Additionally, it is advantageous to prepare an explanation of how you’ve dealt with product challenges and utilized data to drive decisions.

Further, understanding the broader industry and potential competitors can provide context to your strategies for product differentiation and market positioning. Practicing scenario-based questions and refining your responses to key product management competencies, such as strategic thinking, stakeholder management, and user-centered design, will give you the confidence to tackle the interview.

Product Manager (AI Platforms) Interview Tips at Lexsi Labs

Showcase Leadership: Demonstrate your ability to lead cross-functional teams and how you have previously inspired innovation and efficiency in product development processes.
Emphasize Adaptability: Highlight your capability to adapt to fast-changing environments, a crucial trait given the rapid development in AI technology and market demands.
Evidence of Success: Use concrete examples from your past experiences to showcase how you’ve successfully launched and managed AI platforms, emphasizing measurable successes.
Problem-Solving Skills: Be prepared to discuss how you’ve approached complex product challenges, your problem-solving methodology, and the outcomes of your strategies.
Passion for AI: Convey your passion for AI technology and how it translates into your day-to-day product management practices.
Ask Insightful Questions: Demonstrating curiosity and a deep understanding of the role, by asking insightful questions about current projects, team dynamics, and company goals can set you apart as a candidate.

By carefully preparing and understanding the requirements and expectations of the role, you'll be set to deliver a standout performance in your Lexsi Labs interview.