Head of Product Engineering, AI and Data Science
3 weeks ago
About the Role
Anervea.AI is seeking an experienced Head of Product Engineering to lead our cutting-edge AI and data-driven product development.
The ideal candidate will have a strong background in building products around AI, data science, machine learning, and deep tech, with the vision and skills to drive innovation and scale our technology offerings.
This role is a fast-track position that will evolve into a CTO role within 12 months based on performance, and includes stock options as part of the compensation package.
Key Responsibilities
- Lead the design, development, and deployment of AI-powered and data-driven products.
- Collaborate with cross-functional teams including data scientists, AI engineers, and product managers to bring innovative solutions to market.
- Oversee the entire product lifecycle, from ideation to production, ensuring robust and scalable solutions.
- Ensure seamless integration of AI/ML models and advanced analytics into the product architecture.
- Set the technical direction and create a strategic roadmap for deep tech and AI product development.
- Drive continuous improvements in performance, scalability, and reliability of products.
- Manage and mentor engineering teams, fostering a culture of innovation, excellence, and ownership.
- Act as a technical leader, making key decisions on architecture, technology stack, and R&D.
- Engage with stakeholders to ensure products meet business goals and user needs.
- Align product engineering strategies with business objectives to drive growth and innovation.
Qualifications
- Proven experience (10+ years) in product engineering, with significant focus on AI, machine learning, data science, and deep tech.
- Strong experience in designing, developing, and scaling AI-based solutions or products.
- Solid technical expertise in data architecture, cloud platforms (AWS, Azure, GCP), AI/ML frameworks, and modern programming languages (Python, Java, etc.).
- Strong leadership skills with experience managing and mentoring engineering teams.
- Experience with agile methodologies, product management tools, and full product lifecycle management.
- Entrepreneurial mindset with a passion for innovation, problem-solving, and driving technical excellence.
- Proven track record of successfully delivering AI-driven or data-centric products.
- Strong understanding of modern data ecosystems, analytics platforms, and AI/ML toolkits.
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Willingness to relocate to Pune (if not already based there).
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