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Executive Tensorflow Jobs (NOW HIRING)

Select Minds LLC

Data Scientist

Dallas, TX

$65 - $75/hr

... Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs. Experience developing and ... executive audiences. - Ability to adapt quickly to changing priorities and new technologies ...

SysMind Tech

Machine Learning

Manhattan, NY · On-site

$85/hr

Communicate findings and recommendations to stakeholders and executive leadership. Stay updated ... Experience with modern ML frameworks such as PyTorch, TensorFlow Experience with big data ...

BloKchain Talent

Anti-Fraud Risk Engineer

Tempe, AZ · On-site

They have been recognized by Comparably as #1 CEO, Company Happiness, Benefits, Compensation ... And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc. * The basic ...

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$26.5K

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How much do executive tensorflow jobs pay per year?

As of May 31, 2026, the average yearly pay for executive tensorflow in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Tensorflow vs Data Scientist?

AspectExecutive TensorflowData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fields; certifications in TensorFlowDegree in Computer Science, Data Science, or related fields; certifications in data analysis and machine learning
Work EnvironmentLeadership roles in tech companies, overseeing AI projects, strategic planningHands-on data analysis, model development, data visualization in research or corporate settings
Employer & Industry UsageTech firms, AI startups, large enterprises implementing AI strategiesResearch institutions, tech companies, finance, healthcare, and retail sectors

Executive Tensorflow professionals focus on strategic leadership and overseeing AI initiatives, often requiring advanced degrees and certifications. Data Scientists are more involved in hands-on data analysis and model building. While both roles work with TensorFlow, their responsibilities and work environments differ significantly.

What cities are hiring for Executive Tensorflow jobs? Cities with the most Executive Tensorflow job openings:
What are the most commonly searched types of Tensorflow jobs? The most popular types of Tensorflow jobs are:
What states have the most Executive Tensorflow jobs? States with the most job openings for Executive Tensorflow jobs include:
Executive Tensorflow jobs near you
Infographic showing various Executive Tensorflow job openings in the United States as of May 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 16% Physical, and 84% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.
Strategic Technical Account Manager, AI/ML

Strategic Technical Account Manager, AI/ML

DigitalOcean

San Francisco, CA • Remote

$174.24K - $217.80K/yr

Other

Posted 24 days ago

Job description

We are looking for a Strategic Technical Account Manager who is passionate about making an impact, builds genuine relationships with senior stakeholders, and understands how to integrate infrastructure choices into business strategy.

As a Strategic Technical Account Manager (TAM) at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. 

What You'll Do:

Strategic Relationship Management

  • Own the technical relationship with DigitalOcean's highest-value customers, including Fortune 500 companies and global technology leaders.
  • Serve as the trusted technical advisor and executive-facing point of contact, building deep, lasting relationships with VP- and SVP-level stakeholders.
  • Drive regular technical and strategic alignment sessions (QBRs, EBRs), proactively shaping the customer's roadmap to maximize the value of DigitalOcean infrastructure.
  • Operate as a thought partner, challenging customers to modernize, optimize, and scale AI/ML and GPU workloads using cutting-edge cloud architecture patterns.

Executive Presence & Influence

  • Engage with C-level and VP-level contacts with confidence, clarity, and authority.
  • Deliver high-impact, boardroom-ready presentations on architecture decisions, cost-performance tradeoffs, and innovation opportunities.
  • Navigate complex org structures, ensuring DigitalOcean maintains executive alignment and account control at every level.

Technical Consultation & Innovation Support

  • Provide expert guidance on designing and scaling AI/ML, containerized, and GPU-intensive workloads on DigitalOcean.
  • Assist customers with architectural planning, workload migration, performance tuning, and incident response.
  • Collaborate directly with engineering and product teams to address customer roadblocks and influence the product roadmap based on enterprise needs.

Growth, Retention & Advocacy

  • Own technical success across a portfolio of DigitalOcean's largest and most strategic accounts.
  • Identify opportunities for workload expansion, cost optimization, and operational efficiency.
  • Act as the voice of the customer, providing structured feedback to influence DigitalOcean's offerings and go-to-market strategies.
    Lead cross-functional account planning with Account Management, Product, and Engineering.
What You'll Add to DigitalOcean:

Enterprise Customer Experience

  • 7+ years supporting enterprise or strategic accounts in a customer-facing technical role (TAM, Solutions Architect, or equivalent).
  • Experience working with large-scale organizations like AMD, Intel, or similar, including managing executive-level relationships and navigating matrixed stakeholders.
  • Deep understanding of cloud architecture for AI/ML, including GPU orchestration, inference/training pipelines, and model deployment.

Technical Depth

  • Proficient in at least one major cloud platform (AWS, GCP, Azure) and familiar with DigitalOcean or other developer-focused platforms.
  • Strong hands-on skills with Linux systems, networking, containers (Docker/Kubernetes), and automation (Terraform, Ansible).
    Programming/scripting in Python, Go, or similar-especially relevant to AI/ML and MLOps use cases.
  • Understanding of AI/ML infrastructure stacks: PyTorch, TensorFlow, ONNX, Hugging Face, NVIDIA Triton, etc.
  • Understanding of AI/ML infrastructure, including frameworks like PyTorch, TensorFlow, and ONNX, with hands-on experience optimizing GPU workloads on both NVIDIA (CUDA, TensorRT) and AMD (ROCm, MIOpen) platforms.
  • Comfort with modern DevOps and data stack tools (CI/CD, GitOps, observability, pipelines).

Executive Presence & Communication

  • Proven ability to engage with and influence executive decision-makers.
  • Exceptional communication skills, including the ability to translate complex technical topics into strategic business impact.
  • Comfortable presenting to large audiences, running technical workshops, and defending architectural decisions.
Bonus Points
  • Cloud certifications (AWS SA Pro, GCP PCA, Azure Architect) or NVIDIA certifications.
  • Experience with high-performance computing, edge AI, or hybrid/multicloud strategies.
  • Background in startup or high-growth environments where agility and influence matter.
  • Familiarity with DigitalOcean's developer ecosystem, API, and service portfolio.
Compensation Range: 
  • $174,240 - $217,800

*This is a remote role

#LI-Remote

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