Tesla is a leading company in the AI sector, particularly focusing on the development of agentic ... management) is a plus Company : Tesla is an electric vehicle and clean energy company that provides ...
Tesla is a leading company in the AI sector, particularly focusing on the development of agentic ... management) is a plus Company : Tesla is an electric vehicle and clean energy company that provides ...
Data Labeler Manager
Draper, UT · On-site
Tesla is a leading company in the electric vehicle and AI space, seeking a Data Labeler Manager to oversee a team responsible for annotating data for their AI software. The role involves managing ...
Data Labeler Manager
Draper, UT · On-site
Tesla is a leading company in the electric vehicle and AI space, seeking a Data Labeler Manager to oversee a team responsible for annotating data for their AI software. The role involves managing ...
Data Labeler Manager
Dallas, TX · On-site
Tesla is a leading company in the electric vehicle and AI space, seeking a Data Labeler Manager to oversee a team responsible for annotating data for their AI software. The role involves managing ...
Data Labeler Manager
Dallas, TX · On-site
Tesla is a leading company in the electric vehicle and AI space, seeking a Data Labeler Manager to oversee a team responsible for annotating data for their AI software. The role involves managing ...
... Account Manager to support Tesla Motors in automated driving, cockpit applications and the ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...
... Account Manager to support Tesla Motors in automated driving, cockpit applications and the ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...
... Account Manager to support Tesla Motors in automated driving, cockpit applications and the ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...
... Account Manager to support Tesla Motors in automated driving, cockpit applications and the ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...
Sr. Technical Program Manager, Datacenter Planning & Delivery, AI Data Center Development
Palo Alto, CA · On-site
Tesla is a fast-moving, dynamic environment where flexibility and adaptability are key attributes needed for success. The Datacenter Technical Program Manager (TPM) role focuses on AI builds/clusters ...
Sr. Technical Program Manager, Datacenter Planning & Delivery, AI Data Center Development
Palo Alto, CA · On-site
Tesla is a fast-moving, dynamic environment where flexibility and adaptability are key attributes needed for success. The Datacenter Technical Program Manager (TPM) role focuses on AI builds/clusters ...
AI Infrastructure Engineer, Digital Optimus
Palo Alto, CA · On-site
$195K/yr
Tesla is a leading electric vehicle and clean energy company, and they are seeking an AI ... context management, checkpointing, and orchestration of long-horizon agentic workloads • ...
AI Infrastructure Engineer, Digital Optimus
Palo Alto, CA · On-site
$195K/yr
Tesla is a leading electric vehicle and clean energy company, and they are seeking an AI ... context management, checkpointing, and orchestration of long-horizon agentic workloads • ...
Tesla is pioneering technological excellence and innovation through its Generative AI Platform Engineering team. In this role, you will design and develop tools for managing and monitoring Tesla ...
Tesla is pioneering technological excellence and innovation through its Generative AI Platform Engineering team. In this role, you will design and develop tools for managing and monitoring Tesla ...
AI Safety Operator
Tempe, AZ · On-site
$17.25 - $23/hr
Tesla is seeking a highly motivated AI Safety Operator to join their vehicle FSD team. The role ... management • Drive an engineering vehicle for extended hours in a designated area for data ...
AI Safety Operator
Tempe, AZ · On-site
$17.25 - $23/hr
Tesla is seeking a highly motivated AI Safety Operator to join their vehicle FSD team. The role ... management • Drive an engineering vehicle for extended hours in a designated area for data ...
AI Safety Operator
Austin, TX · On-site
$17.50 - $23.50/hr
Tesla is seeking a highly motivated AI Safety Operator to join their vehicle FSD team. The role ... management • Drive an engineering vehicle for extended hours in a designated area for data ...
AI Safety Operator
Austin, TX · On-site
$17.50 - $23.50/hr
Tesla is seeking a highly motivated AI Safety Operator to join their vehicle FSD team. The role ... management • Drive an engineering vehicle for extended hours in a designated area for data ...
AI Safety Operator
Draper, UT · On-site
$16.50 - $22.25/hr
Tesla is seeking a highly motivated AI Safety Operator to join their vehicle FSD team. In this role ... management • Drive an engineering vehicle for extended hours in a designated area for data ...
AI Safety Operator
Draper, UT · On-site
$16.50 - $22.25/hr
Tesla is seeking a highly motivated AI Safety Operator to join their vehicle FSD team. In this role ... management • Drive an engineering vehicle for extended hours in a designated area for data ...
AI Infrastructure Engineer, Distributed Training, Optimus
Palo Alto, CA · On-site
$126K - $165K/yr
Tesla is a leading company in the automotive and energy sectors, and they are seeking an AI ... • Manage, analyze, and visualize our training and test datasets • Coordinate with the team ...
AI Infrastructure Engineer, Distributed Training, Optimus
Palo Alto, CA · On-site
$126K - $165K/yr
Tesla is a leading company in the automotive and energy sectors, and they are seeking an AI ... • Manage, analyze, and visualize our training and test datasets • Coordinate with the team ...
AI Safety Operator
Washington, DC · On-site
$20 - $26.75/hr
Tesla is seeking a highly motivated AI Safety Operator to join their vehicle FSD team. In this role ... management • Drive an engineering vehicle for extended hours in a designated area for data ...
AI Safety Operator
Washington, DC · On-site
$20 - $26.75/hr
Tesla is seeking a highly motivated AI Safety Operator to join their vehicle FSD team. In this role ... management • Drive an engineering vehicle for extended hours in a designated area for data ...
Tesla is seeking a highly motivated and experienced Technical Program/Product Manager to join their rapidly growing Energy sector. The role involves leading the planning and execution of complex AI ...
Tesla is seeking a highly motivated and experienced Technical Program/Product Manager to join their rapidly growing Energy sector. The role involves leading the planning and execution of complex AI ...
Job Summary : Tesla is a leading company in the electric vehicle and AI sectors, and they are ... the team managing the cluster hardware to maintain high availability Qualifications : Required ...
Job Summary : Tesla is a leading company in the electric vehicle and AI sectors, and they are ... the team managing the cluster hardware to maintain high availability Qualifications : Required ...
Software Engineer, Distributed Training, AI Infrastructure
Palo Alto, CA · On-site
$203K - $241K/yr
Job Summary : Tesla is a leading company in the automotive and AI sectors, seeking a Software ... managing the training cluster to maintain high availability and job throughput Qualifications
Software Engineer, Distributed Training, AI Infrastructure
Palo Alto, CA · On-site
$203K - $241K/yr
Job Summary : Tesla is a leading company in the automotive and AI sectors, seeking a Software ... managing the training cluster to maintain high availability and job throughput Qualifications
Sr. Product Manager, Factory Execution Systems
Fremont, CA · On-site
$138K - $183K/yr
Tesla is seeking a Sr. Product Manager to work on Tesla's enterprise Factory Execution Systems ... AI solutions and LLM is a plus Company : Tesla is an electric vehicle and clean energy company that ...
Sr. Product Manager, Factory Execution Systems
Fremont, CA · On-site
$138K - $183K/yr
Tesla is seeking a Sr. Product Manager to work on Tesla's enterprise Factory Execution Systems ... AI solutions and LLM is a plus Company : Tesla is an electric vehicle and clean energy company that ...
What to Expect Tesla is seeking a high intensity action-oriented leader to accelerate our vehicle ... Personally contribute to the AI dataset through your own testing and data collection * Plan data ...
What to Expect Tesla is seeking a high intensity action-oriented leader to accelerate our vehicle ... Personally contribute to the AI dataset through your own testing and data collection * Plan data ...
... management of a team of vehicle operators and individual contributions to testing tracks ... for AI a plus Company : Tesla is an electric vehicle and clean energy company that provides ...
... management of a team of vehicle operators and individual contributions to testing tracks ... for AI a plus Company : Tesla is an electric vehicle and clean energy company that provides ...
The role involves maintaining excellent data collection through team management and personal ... for AI a plus Company : Tesla is an electric vehicle and clean energy company that provides ...
The role involves maintaining excellent data collection through team management and personal ... for AI a plus Company : Tesla is an electric vehicle and clean energy company that provides ...
Manager Tesla Ai information
Is it difficult to get hired at Tesla?
Getting hired as a Manager at Tesla AI can be competitive due to the company's high standards and demand for specialized skills in artificial intelligence and machine learning. Candidates typically need relevant experience, strong technical expertise, and a proven track record in leadership roles. The hiring process often involves multiple interviews and technical assessments to evaluate both technical and soft skills.
How much does an AI engineer at Tesla make?
An AI engineer at Tesla typically earns between $100,000 and $150,000 annually, depending on experience, location, and skill level. Compensation may also include bonuses, stock options, and benefits, with roles often requiring expertise in machine learning, deep learning, and programming languages like Python or C++.
What is the highest paid job at Tesla?
At Tesla, executive roles such as Vice President or Senior Vice President tend to be the highest paid, often earning multi-million dollar compensation packages that include base salary, bonuses, and stock options. These positions require extensive experience, leadership skills, and often technical expertise in areas like engineering, AI, or manufacturing.
What is the difference between Manager Tesla Ai vs Data Scientist Tesla Ai?
| Aspect | Manager Tesla Ai | Data Scientist Tesla Ai |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Engineering, or related field; leadership experience | Bachelor's or Master's in Data Science, Statistics, or related field; strong programming skills |
| Work Environment | Team leadership, project management, cross-department collaboration | Data analysis, model development, algorithm optimization |
| Employer & Industry Usage | Tesla's AI and Autopilot teams, automotive technology |
The Manager Tesla Ai oversees AI projects, manages teams, and coordinates efforts across departments, focusing on strategic implementation. In contrast, the Data Scientist Tesla Ai primarily analyzes data, develops models, and improves AI algorithms. Both roles require technical expertise, but the manager emphasizes leadership and project oversight, while the data scientist concentrates on technical analysis and model development.
How much does a Tesla AI operator make?
A Tesla AI operator typically earns between $70,000 and $120,000 annually, depending on experience, location, and specific responsibilities. The role often requires knowledge of AI systems, data analysis, and familiarity with Tesla's autonomous vehicle technology.
More about Manager Tesla Ai jobs
What cities are hiring for Manager Tesla Ai jobs? Cities with the most Manager Tesla Ai job openings:
What are the most commonly searched types of Tesla Ai jobs? The most popular types of Tesla Ai jobs are:
What states have the most Manager Tesla Ai jobs? States with the most job openings for Manager Tesla Ai jobs include:
What job categories do people searching Manager Tesla Ai jobs look for? The top searched job categories for Manager Tesla Ai jobs are:
- Customer Escalation Specialist
- Technical Customer Success Manager
- Full Time Technical Customer Success Manager
- Mid Level Freshdesk
- Senior Technical Customer Success Manager
- Associate Customer Success Manager
- Customer Success Manager Edtech
- Contract Customer Success Manager Edtech
- Full Time Non Customer Facing Tech
- Remote Customer Journey Mapping
Tesla rating
8.5
Based on 679 frontline employees who took The Breakroom Quiz
1st of 44 rated automakers
Job description
Job Summary:
Tesla is a leading company in the AI sector, particularly focusing on the development of agentic tooling for their AI organization. The role involves extending the agent runtime, developing new skills, and ensuring the reliability and observability of the systems used by engineers across the organization.
Responsibilities:
• Harness development: Extend the agent runtime and tool ecosystem end-to-end. Add new tools, integrations, and backends without regressing existing skills, and keep the platform easy to extend as the ecosystem evolves
• Skill development: Ship new skills that solve real workflows for engineers across the AI org, from one-off automations to the agent capabilities that get reused across the fleet
• Evaluation: Build and operate the evaluation framework that catches regressions in prompts, skills, harness changes, and model upgrades before they reach users
• Observability and reliability: Own session-level observability across our tracing, logging, and metrics stack. Build the dashboards and alerting that tell us when an agent is broken before users do
• Production infrastructure: Operate our production agent services on Kubernetes, async backend services, durable storage for session memory and embeddings, and the public-facing APIs that route work to them
• Contribute to architectural decisions: With a focus on security, scalability, and reliability, especially around credential isolation and the seams between our harness, the model runtime, and the sandboxing layer
• Embed with users and ship cross-team, end-to-end: This is a collaboration-heavy role. You'll sit with engineers across the AI org to understand their workflows, identify the moments where an agent could remove toil, and drive the solution from the first conversation through prototype, rollout, and hand-off. Many of our highest-impact tools start as zero-to-one builds where you step in, learn enough of a stakeholder's domain to understand what "done" looks like, and ship the first version yourself
Qualifications:
Required:
• Proficiency with Python
• Strong foundation in concurrent, async, and distributed systems, orchestration, durable execution, and state across services
• Strong software-design fundamentals, SOLID, separation of concerns, clean abstractions and interfaces, and composition over inheritance
• Hands-on experience building with agents (tools, skills, harnesses, or agent-powered side projects)
• Open-ended problems and product instincts: You enjoy talking to engineers across teams, can convert a vague ask into a shipped solution end-to-end, and bias toward a usable v1 that people adopt over a 'complete' solution that takes months to set up
• Adaptability and curiosity in a fast-paced space: Agentic tooling moves weekly. You stay current on new models, frameworks, and agent patterns as a matter of habit, and you can re-platform your own work when the right answer changes underneath you
Preferred:
• Go is a plus
• Familiarity with systems and infrastructure -- operating systems, storage, relational and vector databases, and container orchestration (Docker, Kubernetes), is a plus
• Experience across the agentic dev-tooling ecosystem is a plus, the Claude Code SDK, ACP (Agent Client Protocol), or opencode; building or operating evaluation pipelines (offline replay, ground-truth scoring, CI gating); or developer-tools work where the customer is another engineer
• Experience with sandboxing and application security (sandboxed code execution, container isolation, capability-based access control, credential isolation, secrets management) is a plus
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.
Tesla is a leading company in the AI sector, particularly focusing on the development of agentic tooling for their AI organization. The role involves extending the agent runtime, developing new skills, and ensuring the reliability and observability of the systems used by engineers across the organization.
Responsibilities:
• Harness development: Extend the agent runtime and tool ecosystem end-to-end. Add new tools, integrations, and backends without regressing existing skills, and keep the platform easy to extend as the ecosystem evolves
• Skill development: Ship new skills that solve real workflows for engineers across the AI org, from one-off automations to the agent capabilities that get reused across the fleet
• Evaluation: Build and operate the evaluation framework that catches regressions in prompts, skills, harness changes, and model upgrades before they reach users
• Observability and reliability: Own session-level observability across our tracing, logging, and metrics stack. Build the dashboards and alerting that tell us when an agent is broken before users do
• Production infrastructure: Operate our production agent services on Kubernetes, async backend services, durable storage for session memory and embeddings, and the public-facing APIs that route work to them
• Contribute to architectural decisions: With a focus on security, scalability, and reliability, especially around credential isolation and the seams between our harness, the model runtime, and the sandboxing layer
• Embed with users and ship cross-team, end-to-end: This is a collaboration-heavy role. You'll sit with engineers across the AI org to understand their workflows, identify the moments where an agent could remove toil, and drive the solution from the first conversation through prototype, rollout, and hand-off. Many of our highest-impact tools start as zero-to-one builds where you step in, learn enough of a stakeholder's domain to understand what "done" looks like, and ship the first version yourself
Qualifications:
Required:
• Proficiency with Python
• Strong foundation in concurrent, async, and distributed systems, orchestration, durable execution, and state across services
• Strong software-design fundamentals, SOLID, separation of concerns, clean abstractions and interfaces, and composition over inheritance
• Hands-on experience building with agents (tools, skills, harnesses, or agent-powered side projects)
• Open-ended problems and product instincts: You enjoy talking to engineers across teams, can convert a vague ask into a shipped solution end-to-end, and bias toward a usable v1 that people adopt over a 'complete' solution that takes months to set up
• Adaptability and curiosity in a fast-paced space: Agentic tooling moves weekly. You stay current on new models, frameworks, and agent patterns as a matter of habit, and you can re-platform your own work when the right answer changes underneath you
Preferred:
• Go is a plus
• Familiarity with systems and infrastructure -- operating systems, storage, relational and vector databases, and container orchestration (Docker, Kubernetes), is a plus
• Experience across the agentic dev-tooling ecosystem is a plus, the Claude Code SDK, ACP (Agent Client Protocol), or opencode; building or operating evaluation pipelines (offline replay, ground-truth scoring, CI gating); or developer-tools work where the customer is another engineer
• Experience with sandboxing and application security (sandboxed code execution, container isolation, capability-based access control, credential isolation, secrets management) is a plus
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.