Who we are
RapidCanvas a disruptive early-stage startup democratizing data science with augmented intelligence. Our singular goal is to be the Data Science platform that delivers the fastest enterprise AI outcomes from data to AI apps possible for technical or business users alike.
Why join the team?
At RapidCanvas, we pride ourselves on our distinctive culture, which is a blend of our core values that guide our everyday actions. Our culture embodies our unwavering commitment to excellence, integrity, and innovation, ensuring that we consistently deliver the highest quality solutions to our customers.
We understand that flexibility is crucial in a dynamic startup environment, and we strive to strike a balance between efficiency and providing the freedom to the teams to explore new ideas and approaches. In our journey towards success, we empower every team member to own their wellness and growth, emphasizing the significance of physical, mental, and emotional well-being. Together, we create an environment that nurtures personal growth, embraces wellness, and paves the way for groundbreaking achievements.
Unwavering Customer Focus
At the core of our operations lies our customers. We strive to comprehend their unique needs and aspire to exceed their expectations with our tailored solutions.
Rapid, Solutions-Centric Excellence
Our ethos encapsulates the promise of delivering rapid value and proficient solutions. This unique approach propels our clients towards their goals efficiently, with a value-driven perspective.
Collective Intelligence & Empowered Responsibility
We treasure each team member, fostering a culture of accountability and shared responsibility. Our belief in collective intelligence sparks innovative ideas and robust solutions.
Authentic collaboration forms the backbone of our work culture. Our emphasis on humility and openness encourages a healthy exchange of ideas and nurtures respect and inclusivity.
Pioneering Excellence & Absolute Integrity
Innovation is our cornerstone, allowing us to stay ahead in the dynamic landscape. Paired with our unwavering commitment to honesty and transparency, we consistently deliver exemplary solutions.
Location: India (Remote)
Who we are looking for:
We are in search of a seasoned Product Manager with a rich background in Data Science or Machine Learning platforms and a proven track record in enterprise product management. The ideal candidate will bring strategic insight, exceptional problem-solving skills, and a collaborative approach to our dynamic team. Your experience and passion for integrating AI technologies into enterprise solutions will be crucial in this role.
Roles & Responsibilities
The Product Manager at RapidCanvas will have the following responsibilities:
Oversee the lifecycle of an enterprise product, from ideation through launch.
Analyze market trends and conduct competitive analysis to identify opportunities for product innovation.
Collaborate with cross-functional teams, including engineering, sales, and marketing, to define product vision and strategy.
Define and prioritize product features and requirements, working closely with the engineering team to ensure timely and impactful product releases.
Develop and implement product-led growth strategies to drive user acquisition, retention, and monetization.
Integrate large language models like chatGPT into our enterprise platform, improving the overall user experience and functionality.
Track and analyze product performance, adjusting strategies based on data-driven insights.
Serve as the internal and external evangelist for the product, working with sales and key customers.
Key Skills required
We are seeking a Product Manager who has:
A minimum of 2-3 years of experience in product management.
Strong understanding of market trends, competitive landscape, and customer needs.
Exceptional communication, presentation, and leadership skills.
Proven ability to work cross-functionally with engineering, design, and sales teams.
Demonstrated ability to manage and prioritize a diverse set of tasks, meeting tight deadlines.
A bachelor’s degree in engineering, computer science, or a related field or a master’s degree in business.
Experience in roles focused on DataScience, Machine Learning, or Product-led Growth strategies is a plus.