AI Sales Specialist

Sorry, this job was removed at 03:01 p.m. (CST) on Monday, Feb 17, 2025
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Hiring Remotely in India
Remote
Cloud • Information Technology • Internet of Things • Software • Consulting • Infrastructure as a Service (IaaS) • Automation
Creating better technology the open source way
The Role

About the Job:

The Red Hat Technology Sales team is looking for an AI Platform Sales Specialist (SSP) to join our team in India. This position is a highly technical sales support role that will ensure successful Go-To-Market (GTM) execution for Red Hat AI Strategy across India Market. This role requires a deep understanding of the importance of delivering productive outcomes using the Red Hat AI Portfolio, enabling direct sales account team peers and partners to do the same with customers. The ideal candidate will have a background leading development teams in delivering applications to production, consulting, and/or driving sales of both generative and predictive AI technologies. This role requires both customer-facing, front line developers to CxO, and evangelism conversations. Much of this role requires consulting on the GTM with Products and Engineering and mentoring in the execution of winning sales plays in partnership with Cloud Service Providers, SIs, and 3rd party ISVs.

What will you do:

  • Consult on and enable successful execution of Data Science AI/ML and Generative AI solutions in assigned geo, focusing on Red Hat AI GTM.

  • Educate customers and stakeholders on the value of Red Hat's Data Science AI/ML and Generative AI offerings, highlighting their applications and benefits.

  • Lead and enable on hyper-competitive sales situations for the Data Science AI/ML and Generative AI portfolio, leveraging expertise in Predictive Analytics and Generative AI development practices.

  • Serve as a geo-level bi-directional conduit of GTM for Red Hat AI between sales, products, engineering, marketing, enablement, and customer success, ensuring seamless communication and collaboration.

  • Work closely with Red Hat AI product teams, providing feedback and identifying gaps in the offering to drive continuous improvement.

  • Build lasting relationships with cloud providers and other 3rd parties for joint GTM, focusing on Data Science AI/ML and Generative AI solutions.

  • Interface with regional sales leadership for account planning and GTM, ensuring alignment and effective execution of Red Hat AI sales strategies.

What will you bring:

  • 8+ years of Data Science and/or AI/ML application development practices and architectures.

  • Subject matter expert in Data Science and Data Engineering concepts, Predictive Analytics, and/or Generative AI development practices

  • Working knowledge of full stack AI development and deployment tools, including Feature Stores, Vector Databases, Embedding Models, ETL tooling, and modern programming languages/frameworks

  • Experience with Kubernetes ecosystem, including competing technologies, and Cloud Service Providers with established account relationships

  • Understanding of DevOps, agile, and similar concepts

  • Working knowledge of full stack application development and deployment tools, including those of build, deployment, project management, automation, source code management, testing, quality/security, monitoring [APM], and configuration of the same, to deliver applications to production

  • Executive presence with public speaking skills

  • Expert Practitioner of the Challenger Sales Model

  • Entrepreneurial mindset

Preferred Qualifications

  • Computer Science or other technical degree with an MBA, emphasizing a strong foundation in technical and business acumen.

  • Previous experience as a sales engineer, technical sales, or similar role, highlighting expertise in driving sales and technical conversations in the Data Science AI/ML and Generative AI space.

  • Experience working with cloud providers and other 3rd parties for joint GTM, leveraging relationships to drive indirect sales and co-selling opportunities.

  • Background in leading development teams in delivering applications to production, consulting, and/or driving sales of Red Hat AI solutions, demonstrating a deep understanding of customer challenges and the ability to propose credible solutions.

  • Strong relationships with Cloud Service Provider account teams, executives, and industry partners, with the ability to grow and maintain these relationships to drive co-selling and indirect sales opportunities.

  • Technical and/or Sales role experience working directly for hyperscalers or in partner ecosystem

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Diversity, Equity & Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from diverse backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions of diversity that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email [email protected]. General inquiries, such as those regarding the status of a job application, will not receive a reply.

Red Hat Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Red Hat and has not been reviewed or approved by Red Hat.

  • Healthcare Strength Healthcare coverage is presented as comprehensive, spanning medical, dental, and vision along with life and disability coverage. Access to HSA/FSA options and broadly positive reception of health benefits support the view that healthcare is a core strength.
  • Leave & Time Off Breadth Time-off offerings are described as generous, with substantial PTO for new hires plus additional recharge days and an end-of-year shutdown for many non-critical roles. Paid volunteer time, holidays, sick days, and supportive expectations around taking time off reinforce the breadth of leave benefits.
  • Strong & Reliable Incentives The rewards package includes performance bonuses and a recurring quarterly bonus program tied to company and individual performance. Availability of ESPP participation further adds to incentive pathways beyond base pay.

Red Hat Insights

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