Sr Technical Account Manager - East

1 нед. назад

USASeniorRemote

aimachine learningcloud infrastructure

Manage strategic client relationships with a focus on technical architecture and AI platform operations.

Требования

7+ years of experience in a customer facing technical role
Comfort and confidence in client-facing interactions
Ability to work both pre and post sale
Strong Linux system administration experience including networking
Experience with authentication and authorization systems like LDAP, Kerberos, AD, and IAM
Hands-on experience with cloud based services like AWS, Azure and GCP
Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
Experience with the Hadoop and/or Spark ecosystem for setup, administration, troubleshooting and tuning

Как откликнуться

Initial call with a member of our Technical Recruiting team
Video call with the the USA TAM Director
Technical Assessment to show your skills (Home Test)
Debrief of your Tech Assessment with TAM Team members
Final Interview with the Global VP of Field Engineering
 
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through 's incentive compensation program. 
also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. reserves the right to amend or modify employee perks and benefits at any time.

Другое

is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the blog , LinkedIn , X , and YouTube .
Technical Account Managers are highly experienced Architects who are comfortable with a very client facing role and who dedicate themselves to a small set of strategic clients, (~4 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts.
 
Work with the Customer Success team and customers to jointly identify near and longer-term priorities and define the associated engagement plan
Manage milestones with Customer Success Manager and customer and contribute to deliverables, provide regular status updates and proactively identify and mitigate issues/risks
Centralize the technical information about clients and take part to the account strategy and with the other members of the account team
Play an active role contributing to the growth and scalability of the Field Engineering team through robust documentation, continuous process optimization, and peers upskilling
Work with Customer resources as a primary technical advisor, providing guidance and hands-on support on the following matters: platform architecture (initial deployment, expansions), platform operations (upgrades), best practice related to usage, security, data management, compute resources, ML-Ops, Monitoring, etc.
Help clients troubleshoot the implementation of the product within their systems.
Ensure that feature requests are effectively recorded and communicated to product and R&D
Advise client tech leaders on choices around new companion technologies and tech strategies around
Support innovative approaches around (edge computing, deep learning, advanced MLOps, for example)
 
Experience with Python
Some knowledge of Java, nice to have
Some knowledge in ML Ops