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Product Manager (LLMs & AI) at Spyne

Location
Gurugram
Job type
Full time
Posted on 09 Dec
Description

Job Responsibilities

1. Product Strategy & Vision:

  • Craft a clear, ambitious roadmap for LLM-powered applications and AI agents, keeping user needs, market trends, and technical possibilities in focus.
  • Explore innovative applications of LLMs, such as contextual chatbots, decision-support systems, creative content generators, and automation tools.

2. Research & Experimentation with LLMs:

  • Collaborate with data scientists and AI engineers to evaluate, fine-tune, and deploy cutting-edge LLMs for real-world use cases.
  • Stay updated on advancements in LLM capabilities, such as multi-turn dialogue, reinforcement learning, in-context learning, and fine-tuning techniques.

3. AI Agent Development:

  • Define how AI agents integrate with customer workflows, ensuring seamless interaction between humans and AI.
  • Guide the creation of agents capable of handling tasks like scheduling, responding to emails, summarizing documents, extracting insights from data, and automating repetitive processes.

4. User Experience & Feedback:

  • Deeply understand user pain points and translate them into impactful AI-driven solutions.
  • Drive adoption by ensuring user-friendly interfaces, explainable AI outputs, and smooth handoffs between human users and AI agents.

5. Cross-Functional Collaboration:

  • Work with Engineering, Data Science, and Design teams to prototype, test, and deploy LLM-based features at scale.
  • Collaborate with Sales and Customer Success teams to position AI-powered capabilities as a key differentiator.

6. Metrics & Performance:

  • Define measurable KPIs to evaluate AI agent success, including accuracy, response time, user satisfaction, and retention.
  • Continuously optimize models using metrics like token efficiency, fine-tuned accuracy, or user engagement analytics.


Job Requirements

Basics

  • 3-7 years of product management experience, preferably in AI, SaaS, or data-driven products.
  • Proven track record of building or scaling AI-powered applications, especially using LLMs like GPT, Claude, or similar frameworks.

Strong familiarity with the functionality of LLMs

  • Fine-tuning and customization: Adapting pre-trained models to domain-specific tasks.
  • Prompt engineering: Designing efficient prompts for achieving desired outcomes.
  • Context management: Optimizing inputs for long, multi-turn conversations or complex tasks.
  • Model evaluation: Understanding trade-offs between accuracy, latency, and cost.

Other skills

  • Exceptional communication skills to explain technical AI concepts to non-technical stakeholders.
  • Analytical mindset with the ability to define and measure success metrics.
  • Hands-on experience with product development tools (e.g., Figma, Jira) and basic familiarity with LLM APIs (e.g., OpenAI, Anthropic, Hugging Face).
  • Ability to thrive in a fast-paced, ambiguous environment.


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Why Work at Spyne

Spyne is a dynamic and innovative company known for its forward-thinking approach in utilizing AI and machine learning technologies to revolutionize media content creation. Working at Spyne offers employees the opportunity to be part of a cutting-edge technological environment where innovation is at the heart of everything. As a part of Spyne, you’ll collaborate with an agile team that’s committed to developing high-impact solutions and you’ll play a crucial role in transforming digital media for businesses around the globe. Spyne provides a culture of flexibility and encourages experimentation, which is pivotal in fostering growth both personally and professionally for employees. Moreover, the supportive and inclusive work environment makes Spyne a great place to advance your career in AI and product management.

What's it Like to Work at Spyne

At Spyne, the work culture is shaped by its entrepreneurial spirit, innovative technology, and a deep understanding of customer needs. As an employee, you'll find yourself part of a diverse team that values creativity and collaboration. The company is committed to maintaining a balance between work and life, encouraging employees to bring their best selves to work by offering flexible working hours, remote work options, and a host of wellness programs. Spyne’s open office environment and regular team-building activities foster a sense of community and mutual respect among colleagues, making it a place where ideas flow freely and every team member is encouraged to contribute.

What's it Like to Work as a Product Manager (LLMs & AI) at Spyne

As a Product Manager (LLMs & AI) at Spyne, you will be at the forefront of innovation, leading projects that harness large language models and AI to solve complex problems and enhance user experiences. The role involves collaborating closely with cross-functional teams, including developers, data scientists, UX designers, and stakeholders, to ensure that products meet and exceed market expectations. Your day-to-day activities will include defining product vision and strategy, conducting market research, prioritizing features, and managing product life cycles. Spyne’s focus on AI-driven products means you will constantly work with cutting-edge technologies, perfecting products that redefine how media and content creation industries operate. This position offers a dynamic and exciting opportunity for those with a passion for AI and product management, as you’ll be steering products at a company that is at the zenith of digital media transformation.

Product Manager (LLMs & AI) Interview Questions at Spyne

Prospective candidates for the Product Manager (LLMs & AI) role at Spyne can expect a comprehensive interview process designed to gauge both technical skills and cultural fit. Here are some examples of questions you might encounter:

  1. How would you approach defining a product strategy for a new feature involving AI?
  2. Can you provide an example of a time when you used data to make a crucial product decision?
  3. Describe a challenging project you managed and how you navigated complexities associated with it.
  4. How would you ensure that AI-driven solutions at Spyne are aligned with customer needs?
  5. Discuss your experience with LLMs and describe a successful project you’ve worked on using this technology.

Spyne is keen on understanding how candidates think strategically and solve problems related to AI and product development.

Product Manager (LLMs & AI) Interview Preparation at Spyne

When preparing for an interview with Spyne, it's essential to not only understand the job role and responsibilities but also to have a thorough understanding of Spyne’s core values and mission. Familiarize yourself with Spyne’s existing products, especially those that involve LLMs and AI. Brush up on your knowledge of current trends in AI and machine learning, and be ready to discuss how these can be leveraged in product development. Moreover, practice case studies that involve developing a product strategy from scratch, tailoring solutions to client needs, and adapting to rapidly changing technological landscapes. Ensuring you have a strong grasp of your past experiences and can articulate the impact you've made in your previous roles will be crucial to your success.

Product Manager (LLMs & AI) Interview Tips at Spyne

Here are some tips to ace your interview for the Product Manager (LLMs & AI) position at Spyne:

  • Research Thoroughly: Understand Spyne’s vision, existing products, and the AI-driven solutions they offer.

  • Showcase Your Expertise in AI: Highlight your knowledge and experience with large language models and AI, and how these can add value to Spyne's products.

  • Be Data-Driven: Reference past experiences where you utilized data to make product decisions, showing your analytical capabilities.

  • Cultural Fit Matters: Express how your values align with Spyne’s work culture and demonstrate your interpersonal skills, highlighting examples of successful collaboration with diverse teams.

  • Prepare Questions: Prepare thoughtful questions about the team, their processes, and future projects to indicate your genuine interest in the role.

By demonstrating a deep understanding of both the technical and cultural aspects of the opportunity at Spyne, you'll position yourself as a standout candidate ready to succeed in their vibrant environment.