
Empowering data teams for better insights
Acceldata is an enterprise data observability platform headquartered in Campbell, CA, that empowers data teams to optimize their data products. With $105.6 million raised in Series C funding, Acceldata serves clients by leveraging AI and machine learning to enhance data visibility and performance, h...
Acceldata offers performance-based bonuses, ESOPs, and a flexible work schedule. Employees enjoy modern equipment, free lunch, Uber transport faciliti...
Acceldata fosters a culture focused on data visibility and performance optimization, driven by a team of industry veterans from Zalando, InMobi, and H...

Acceldata • Bengaluru
Acceldata is hiring a Staff Product Support Engineer to resolve complex customer challenges in cloud ecosystems. You'll work with AWS, Azure, and GCP to ensure seamless operations and impactful business outcomes. This role requires expertise in cloud support and a strong problem-solving mindset.
You have a strong background in cloud support, with expertise in at least one of the major cloud ecosystems — AWS, Azure, or GCP. Your experience allows you to swiftly resolve complex customer challenges, ensuring that operations run smoothly and efficiently. You thrive in environments where you can leverage your technical skills to make a significant impact on customer satisfaction and business outcomes.
You possess excellent problem-solving abilities and are adept at diagnosing issues quickly — your analytical mindset enables you to identify root causes and implement effective solutions. You are comfortable working with customers to understand their needs and provide tailored support that enhances their experience with cloud services.
Your communication skills are top-notch, allowing you to convey technical information clearly and effectively to both technical and non-technical stakeholders. You enjoy collaborating with cross-functional teams to drive improvements and ensure that customer feedback is integrated into product development.
You are proactive in your approach to learning and staying updated on the latest trends and technologies in cloud computing. Your passion for technology drives you to continuously seek out new knowledge and skills that can benefit your role and the organization.
Experience with multiple cloud platforms is a plus, as it allows you to provide comprehensive support across different environments. Familiarity with monitoring and optimization tools will enhance your ability to deliver value to customers.
In your role as a Staff Product Support Engineer at Acceldata, you will take on a pivotal position that involves resolving complex customer challenges in cloud ecosystems. You will be responsible for ensuring that customers can monitor, predict, and optimize their data systems effectively. Your expertise in AWS, Azure, and GCP will be crucial as you work to deliver faster resolutions and seamless operations.
You will engage directly with customers to understand their issues and provide timely support, leveraging your technical knowledge to troubleshoot and resolve problems. Your role will involve collaborating with engineering teams to escalate issues when necessary and ensure that customer feedback is incorporated into product improvements.
You will also play a key role in developing and maintaining documentation and knowledge bases that empower customers to resolve issues independently. Your contributions will help enhance the overall customer experience and drive satisfaction with Acceldata's cloud solutions.
Acceldata provides a dynamic work environment where you can grow your skills and make a meaningful impact. You will have the opportunity to work with cutting-edge technologies and be part of a team that values innovation and collaboration. We encourage you to apply even if your experience doesn't match every requirement, as we believe in fostering a diverse and inclusive workplace.
We offer competitive compensation and benefits, along with opportunities for professional development and career advancement. Join us in shaping the future of data solutions and making a difference for our customers.
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