As a Product Manager on ColorTokens microservice/container/serverless security platform you will be tasked with defining the next set of compelling features that will drive the creation of a compelling Zero Trust Platform which will leapfrog the competition in its security efficacy, ease of use and comprehensiveness. we plan to solve using ColorTokens ZeroTrust Platforms by providing application centric iew of containerized environments and building policy enforcement around applications, services and containers for the security administrator.
- Desired Skills
- 5-10 years of direct work experience as a product manager working for providing security for cloud, containers/microservices and serverless architectures.
- Knowledge of SaaS product delivery
- You will need to understand critical customer requirements and prioritize the creation of value added features within the platform:
- Create crisp understandable requirements starting with product requirement documents and user stories that can be worked on with engineering
- Provide thought leadership for engineering to delivery on these features and guide though the development process
- Train sales on new features developed and provide both how to sell and technical vision
- Understand how to measure, track, and optimize a SaaS security offering managing hundreds of thousands of customers and endpoints
- Constantly interact with customers to present and socialize product functionality and roadmap
- Collect and report metrics and identify trends, issues, or other important information to upper management at regular intervals to show the state of the business
- Engaging directly in a scaled agile development process with CICD pipeline
- Working with Product Marketing to help message product features in an understandable manner
Preferred Skills
- Bachelor's degree in CS or similar, MBA degree preferred
- Excellent written, and verbal communication skills
- Former experience as a software engineer or sales engineering is highly desirable
- Experience in Information Security/Cyber Security
- Comfortable in presentations in front of audiences of all sizes and backgrounds
- Ability to influence people at all levels across a broad variety of job functions
- Excellent organizational skills to juggle many tasks without losing sight of key strategic goals
We look forward to hearing from you and joining us in this exciting journey.

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ROLE: Ai ML Senior Developer
Exp: 5 to 8 Years
Location: Bangalore (Onsite)
About ProductNova
ProductNova is a fast-growing product development organization that partners with
ambitious companies to build, modernize, and scale high-impact digital products. Our teams
of product leaders, engineers, AI specialists, and growth experts work at the intersection of
strategy, technology, and execution to help organizations create differentiated product
portfolios and accelerate business outcomes.
Founded in early 2023, ProductNova has successfully designed, built, and launched 20+
large-scale, AI-powered products and platforms across industries. We specialize in solving
complex business problems through thoughtful product design, robust engineering, and
responsible use of AI.
Product Development
We design and build user-centric, scalable, AI-native B2B SaaS products that are deeply
aligned with business goals and long-term value creation.
Our end-to-end product development approach covers the full lifecycle:
1. Product discovery and problem definition
2. User research and product strategy
3. Experience design and rapid prototyping
4. AI-enabled engineering, testing, and platform architecture
5. Product launch, adoption, and continuous improvement
From early concepts to market-ready solutions, we focus on building products that are
resilient, scalable, and ready for real-world adoption. Post-launch, we work closely with
customers to iterate based on user feedback and expand products across new use cases,
customer segments, and markets.
Growth & Scale
For early-stage companies and startups, we act as product partners—shaping ideas into
viable products, identifying target customers, achieving product-market fit, and supporting
go-to-market execution, iteration, and scale.
For established organizations, we help unlock the next phase of growth by identifying
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entirely new product lines. Our teams enable innovation through AI, platform re-
architecture, and portfolio expansion to support sustained business growth.
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We are seeking an experienced AI / ML Senior Developer with strong hands-on expertise in large language models (LLMs) and AI-driven application development. The ideal candidate will have practical experience working with GPT and Anthropic models, building and training B2B products powered by AI, and leveraging AI-assisted development tools to deliver scalable and intelligent solutions.
Key Responsibilities:
1. Model Analysis & Optimization
Analyze, customize, and optimize GPT and Anthropic-based models to ensure reliability, scalability, and performance for real-world business use cases.
2. AI Product Design & Development
Design and build AI-powered products, including model training, fine-tuning, evaluation, and performance optimization across development lifecycles.
3. Prompt Engineering & Response Quality
Develop and refine prompt engineering strategies to improve model accuracy, consistency, relevance, and contextual understanding.
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Build, integrate, and deploy AI services into applications using modern development practices, APIs, and scalable architectures.
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Monitor model performance, analyze outputs, and iteratively improve accuracy, safety, and overall system effectiveness.
Qualifications:
1. Hands-on experience analyzing, developing, fine-tuning, and optimizing GPT and Anthropic-based large language models.
2. Strong expertise in prompt design, experimentation, and optimization to enhance response accuracy and reliability.
3. Proven experience building, training, and deploying chatbots or conversational AI systems.
4. Practical experience using AI-assisted coding tools such as Cursor or GitHub Copilot in production environments.
5. Solid programming experience in Python, with strong problem-solving and development fundamentals.
6. Experience working with embeddings, similarity search, and vector databases for retrieval-augmented generation (RAG).
7. Knowledge of MLOps practices, including model deployment, versioning, monitoring, and lifecycle management.
8. Experience with cloud environments such as Azure, AWS for deploying and managing AI solutions.
9. Experience with APIs, microservices architecture, and system integration for scalable AI applications.
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• Build cutting-edge AI-powered B2B SaaS products
• Own architecture and technology decisions end-to-end
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Requirements:
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If you are not willing to give your best.
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