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Manager Tensor Jobs in Texas (NOW HIRING)

iFlow Inc

Program Manager

Austin, TX · On-site

Job Title: Program Manager Location : Austin,TX Duration: 6 Months Experience: 5-15 Years ... Integrate SGLang with the Run:ai Model Streamer to enable concurrent tensor streaming directly to ...

SambaNova

Senior Principal Compiler Engineer

Austin, TX · On-site

$124K - $171K/yr

... tensor tiling, memory management, and mapping operations onto the fabric. You'll operate in a tightly coupled environment, influencing hardware design to optimize performance, and bring the technical ...

SambaNova

Senior Principal Compiler Engineer

Austin, TX · On-site

$180K - $240K/yr

... tensor tiling, memory management, and mapping operations onto the fabric. You'll operate in a tightly coupled environment, influencing hardware design to optimize performance, and bring the technical ...

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Manager Tensor information

What is a Manager Tensor?

A Manager Tensor is typically a managerial position responsible for overseeing teams that develop and implement machine learning models using TensorFlow or similar tensor-based frameworks. This role involves coordinating data science and engineering teams, ensuring project goals align with business objectives, and facilitating the deployment of scalable AI solutions. Additionally, a Manager Tensor may be tasked with mentoring staff, managing resources, and staying updated with the latest advancements in artificial intelligence. The position requires strong leadership, technical expertise in machine learning, and experience with deep learning platforms.

What are the key skills and qualifications needed to thrive as a Manager Tensor, and why are they important?

To thrive as a Manager Tensor (commonly referred to as a TensorFlow Manager or Machine Learning Manager), you need a solid background in machine learning, deep learning frameworks (especially TensorFlow), and experience leading technical teams, typically backed by a relevant degree. Proficiency with TensorFlow, Python, data engineering tools, and cloud platforms, along with certifications in machine learning, are highly valued. Leadership, strong communication, and project management skills help you effectively guide teams and collaborate with stakeholders. These skills ensure successful project delivery, innovation, and alignment with organizational goals in complex AI-driven environments.

What are some common challenges faced by a Manager Tensor when leading AI and machine learning teams?

A Manager Tensor often encounters challenges such as balancing technical leadership with strategic oversight, managing projects that involve complex and evolving technologies, and ensuring effective communication among data scientists, engineers, and stakeholders. Additionally, staying current with rapid advancements in AI frameworks and guiding the team through best practices can be demanding. Collaboration across multidisciplinary teams and aligning projects with business objectives are also key aspects of the role.

What is the difference between Manager Tensor vs Data Scientist?

AspectManager TensorData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Data Analytics, or related fields; certifications like TensorFlow Developer are commonBachelor's or Master's in Data Science, Statistics, Computer Science; certifications like Certified Data Scientist are common
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in tech or AI-focused companiesAnalyzes data, builds models, reports insights in tech, finance, healthcare industries
Employer & Industry UsageUsed in AI, machine learning, and tech companies for managing TensorFlow projectsUsed across industries for data analysis, predictive modeling, and research

The main difference is that a Manager Tensor oversees AI projects involving TensorFlow, focusing on team management and project delivery, while a Data Scientist primarily analyzes data and builds models. Both roles require technical knowledge, but the Manager Tensor role emphasizes leadership and project management within AI initiatives.

What cities in Texas are hiring for Manager Tensor jobs?

Cities in Texas with the most Manager Tensor job openings:

Manager Tensor jobs near you

Senior Product Manager, TeamViewer Tensor

Jobtailor

Austin, TX • On-site

$140 - $190/hr

Other

Posted 6 days ago

Job description

  • Own the product strategy, roadmap, and business outcomes for the TeamViewer Tensor portfolio
  • Balance customer needs, market opportunities, and commercial goals
  • Drive adoption, retention, expansion, and revenue through data-driven product decisions and continuous optimization
  • Lead customer discovery and translate insights into priorities, requirements, and measurable outcomes
  • Partner with Engineering, UX, Sales, Marketing, Customer Success, and Support on product experiences and go-to-market initiatives
  • Define success metrics, measure business impact, and communicate progress, priorities, and results to stakeholders
  • Monitor industry trends and competitive dynamics to identify growth opportunities and strengthen market differentiation
  • Make Tensor indispensable to large enterprises and create measurable customer value and sustainable commercial growth
Requirements
  • Product management experience in B2B SaaS, enterprise software, or related technology markets
  • Proven track record defining strategy, managing roadmaps, and improving customer and commercial outcomes
  • Strong analytical, customer discovery, and decision-making skills
  • Experience using data to prioritize investments
  • Commercial understanding of SaaS metrics, retention, expansion, pricing, packaging, and business performance
  • Ability to influence and align cross-functional teams, including Engineering, Product, Sales, Marketing, and Customer Success
  • Familiarity with enterprise IT, security, endpoint management, remote connectivity, or related software domains is a plus
Core Competencies

Demonstrates expertise in product management for B2B SaaS, focusing on strategy, roadmap development, and driving measurable business outcomes. Proficient in leveraging data for decision-making and optimizing customer experiences across cross-functional teams.

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