Responsibilities:

1. Partner with regional Sales Teams to qualify leads, identify client's pain points and create technical solutions that eventually deliver business results to clients.
2. Externally, call upon technical expertise and business acumen to lead the enterprise client engagement (C-level to working level) lifecycle end-to-end, from pre-sales solutioning to delivering project implementation. Activities include demos, presentations, RFI/RFP, architecture design workshops & POC delivery.
3. Internally, act as trusted advisor collaborating with multiple product teams and articulate clear feature requests to shape product roadmap in both short- and long-term. Provide Thought Leadership, Industry Knowledge, and deep understanding across multiple cloud and ML products.
4. Work closely with product teams to close the PMF (Product Market Fit) gaps and drive the roadmap of product development / iterations.
5. Maintain post-sales solution support and drive upsell/cross-sell together with Account Executives.

Qualifications

Minimum qualifications:

1. Achieved a Bachelor's degree with strong business acumen.
2. 5 years of related work experience in a similar or related field.
3. Past experience in cloud computing, and related technology ecosystem.
4. Team player and able to foster positive team morale, to set goals and drive for successful fulfilment.
5. Can-Do attitude, self-starter, ability to work independently and highly motivated with contagious enthusiasm; agile and entrepreneurial, extremely result-oriented.
6. Comfortable with a fast-paced and ambiguous "startup" environment, strong problem solver, resilient.
7. Demonstrate strong strategic thinking and analytical skills by explaining relevant past projects in the technical interview rounds.

Preferred qualifications:

1. Knowledge or experience of one or more of the following would be beneficial: such as basic to advanced developer skills can be a plus.
2. Hands on experience in cloud infrastructure, and migration.
3. Good understanding of cloud native applications, and big data technologies.
4. Computer science or engineering equivalent degrees preferred.
5. Industry-wise, preferably, have worked with large enterprise clients in verticals like ecommerce, Retail, Media, Entertainment, Gaming and/or Gambling.
6. Preferably in the role of solution architect or pre-sales solution engineering in B2B space ideally in AI/ML, video cloud, edge computing and/or cloud computing space.
7. Product-wise, preferably have a deep understanding of Public Cloud and related business use cases, including but not limited to: edge network (CDN) and security (WAF, DDoS), video streaming - Livestream solution end-to-end, RTC, VOD and ML applications (ML Recommend, computer vision, NLP, generative AI).

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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