Product Director

Ever dreamed of being part of new product initiatives? Do you feel the energy and excitement of working on the first version of a product, bringing an idea from paper to life? Are you eager to work on SaaS products that have the potential to become the next Uber, Airbnb, or Flipkart? If so, this is the opportunity for you!

Join our team and be at the forefront of developing cutting-edge SaaS products. Our organization relies on its central engineering workforce to develop and maintain a diverse product portfolio across multiple startups. With our constantly growing portfolio, you’ll have the chance to work with different technologies, architectures, and frameworks—a perfect environment for passionate tech enthusiasts!

Job Description:

We are seeking an experienced IT Project Manager with 3+ years of experience to lead complex technical projects from inception to completion. The ideal candidate will have a deep understanding of SDLC methodologies, system architecture, and technology stacks, with the ability to engage effectively with engineering and product teams to ensure project success.

Key Responsibilities:

• Manage Projects: Oversee multiple complex projects, develop and maintain schedules, and ensure timely delivery.
• Technical Collaboration: Validate business requirements and translate client needs into actionable tasks.
• Lead Agile/Scrum: Guide sprints, backlog grooming, and retrospectives using tools like Jira and MS Project.
• Cross-Functional Teamwork: Manage relationships with cross-functional teams to ensure project alignment.
• Stakeholder Communication: Provide regular updates on project progress, risks, and key milestones.
• Resource & Budget Management: Allocate resources, manage budgets, and optimize team time management.
• Mentorship: Mentor teams on bot-building processes and contribute to the development roadmap.

Qualifications:

• Experience: 3+ years as an IT Project Manager, preferably with consumer-facing products.
• Education: Bachelor’s/Master’s in Engineering, preferably from a Tier 1 institute.
• Skills:
• Strong understanding of SDLC, system architecture, and various tech platforms (Android, iOS, Web, Voice).
• Experience in Agile/Scrum methodologies and tools (Jira, MS Project, etc.).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, ambiguous environment.

Preferred:

• Experience in the Chatbots/AI domain and a strong understanding of the consumer internet ecosystem.
• Experience working in startups or entrepreneurial settings.

About CAW Studios:

CAW Studios is a Product Engineering Company of 50+ super-geeks based out of Hyderabad. We run complete engineering (Dev + DevOps) for several products like Interakt, CashFlo, KaiPulse, and FastBar. We are also part of the global engineering teams for Haptik, EmailAnalytics, SenorPago, and GrowthZone.

We are obsessed with automation, DevOps, OOPS, and SOLID principles. We are not limited to one tech stack—we are focused on solving problems.

Know More About CAW Studios: 

Find us: https://goo.gl/maps/dvR6L26JUa42 

Website: https://www.cawstudios.com/

Know More: https://www.cawstudios.com/handbook

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Toplyne is a global SaaS product built to help revenue teams, at businesses with a self-service motion, and a large user-base, identify which users to spend time on, when and for what outcome. Think self-service or freemium-led companies like Figma, Notion, Freshworks, and Slack. We do this by helping companies recognize signals across their - product engagement, sales, billing, and marketing data.

Founded in June 2021, Toplyne is backed by marquee investors and angels (we'll be happy to tell you how much we've raised, and from whom on call). We are building out our founding team as we speak and we'd love to chat with you!

You taking a lot of pride in writing scalable, readable & maintainable code. You have a product bent of mind. You like working in a fast paced environment and ship code most days of the week. You enjoy working cross functionally in a collaborative environment with designers, PM's to build the best product possible. You don't mind getting on customer calls to understand their perspective to build a better product or help them with issues they might be facing.

You're hungry, ready to hustle, and keen to learn!

As a founding member of the core engineering team, you will:

• Work with the founders in co-creating the product with early believers (read: customers)
• Develop massive, complex software systems that scale globally.
• Build and own a substantial part of the product and help build the culture of engineering within Toplyne

• Strong first principles
• Hustle! We're young, lean, and in our early days. You'd have to set up your own shop, work with design customers to find generalisable use cases, and build them out.
• Ability to collaborate with cross-functional teams to build and ship new features
• 2-6 years of experience
• Good understanding and experience working with javascript frameworks such as React.
• Work closely with developers and UX designers to ensure that the presentation layer is implemented in accordance with best above best practices and UX specifications.

• Not looking for a 10x engineer. We are ok if you are 1x but are really good at what you, a good human being & work well in a team.