Globalsouthopportunities
Anthropic is Seeking a Data Operations Manager
Globalsouthopportunities, San Francisco, California, United States, 94199
Data Operations Manager — Anthropic
Location:
San Francisco, CA | New York City, NY Work Model:
Hybrid (minimum 25% in-office)
About Anthropic Anthropic
is a public benefit corporation dedicated to building
reliable, interpretable, and steerable AI systems
that are safe and beneficial for society. The organization brings together leading researchers, engineers, policy experts, and business leaders to advance frontier AI while prioritizing safety, alignment, and long-term societal impact.
Anthropic operates as a highly collaborative research-driven organization, focusing on a small number of high-impact, large-scale scientific efforts rather than fragmented initiatives. Its work builds on foundational contributions to AI research, including large language models, interpretability, scaling laws, and AI safety.
Role Overview: Data Operations Manager The
Data Operations Manager
plays a critical role in scaling and optimizing data operations that support Anthropic’s frontier AI research. This individual will partner closely with research teams to translate complex technical requirements into robust, high-quality data pipelines that directly influence model performance, safety, and alignment.
This role blends
strategic operations leadership, technical fluency, and execution excellence , with ownership across the full data lifecycle—from research requirements and vendor management to production-quality datasets.
Strategic Impact The data systems and operational frameworks developed in this role will directly shape Anthropic’s most critical model capabilities, including:
Tool-use accuracy
Long-horizon reasoning
Robustness to prompt injection
Safety alignment and human feedback integration
By enabling researchers to move faster without compromising quality, the Data Operations Manager ensures that data remains a competitive and ethical advantage in advanced AI development.
Key Responsibilities The Data Operations Manager will:
Own and execute
data strategy
across research initiatives, including:
Reinforcement Learning from Human Feedback (RLHF)
AI safety and alignment research
Tool use and agentic workflows
Design and implement
scalable operational systems
that translate research goals into reliable data pipelines
Build and manage
strategic vendor partnerships
for data collection, labeling, and annotation
Establish
evaluation frameworks and quality standards
for state-of-the-art AI training data
Lead cross-functional initiatives to improve research velocity while maintaining rigorous quality controls
Proactively identify and mitigate
risks, bottlenecks, and inefficiencies
in data operations
Partner with senior research leaders to align data execution with long-term model development roadmaps
Candidate Profile Anthropic is seeking candidates who thrive at the intersection of
operations, research, and emerging technology .
Required Qualifications:
Minimum of
3 years of experience
in operations, consulting, product management, program management, or related roles
Exceptional
project management skills
with the ability to manage multiple complex workstreams
Strong communication skills across technical and non-technical audiences
Familiarity with large language models or a demonstrated interest in AI training methodologies
High organizational discipline and comfort operating in ambiguous, fast-paced environments
Experience using
data analysis tools
such as SQL, Python, Tableau, or advanced spreadsheets
Demonstrated passion for
AI safety
and data quality
Preferred Qualifications:
Experience with data collection, labeling, or annotation for AI/ML systems
Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows
Prior work with AI research teams or research-focused organizations
Vendor and contractor management experience
Consulting background translating complex requirements into executable plans
Track record of implementing
process improvements or quality systems at scale
Compensation and Benefits
Base Salary Range:
$250,000 – $365,000 USD annually
Total compensation includes:
Equity
Comprehensive benefits
Potential incentive compensation
Anthropic also offers generous vacation and parental leave, flexible working hours, equity donation matching, and thoughtfully designed collaborative office spaces.
Logistics and Policies
Education Requirement:
Bachelor’s degree or equivalent professional experience
Hybrid Policy:
Employees are expected to be in-office at least 25% of the time
Visa Sponsorship:
Available for many roles, with legal support provided
Relocation:
Candidates may be asked about relocation flexibility
Anthropic strongly encourages applications from individuals who may not meet every listed qualification, particularly candidates from underrepresented backgrounds.
Culture and Values Anthropic approaches AI research as an
empirical science , emphasizing collaboration, open dialogue, and long-term impact over short-term gains. The organization values diverse perspectives and recognizes the ethical and social implications of advanced AI systems.
Clear communication, thoughtful collaboration, and shared ownership of outcomes are central to how Anthropic works.
Why This Role Matters The Data Operations Manager position offers a rare opportunity to:
Influence the
core capabilities and safety
of frontier AI systems
Build foundational infrastructure that enables responsible AI scaling
Contribute meaningfully to the future of safe and aligned artificial intelligence
#J-18808-Ljbffr
San Francisco, CA | New York City, NY Work Model:
Hybrid (minimum 25% in-office)
About Anthropic Anthropic
is a public benefit corporation dedicated to building
reliable, interpretable, and steerable AI systems
that are safe and beneficial for society. The organization brings together leading researchers, engineers, policy experts, and business leaders to advance frontier AI while prioritizing safety, alignment, and long-term societal impact.
Anthropic operates as a highly collaborative research-driven organization, focusing on a small number of high-impact, large-scale scientific efforts rather than fragmented initiatives. Its work builds on foundational contributions to AI research, including large language models, interpretability, scaling laws, and AI safety.
Role Overview: Data Operations Manager The
Data Operations Manager
plays a critical role in scaling and optimizing data operations that support Anthropic’s frontier AI research. This individual will partner closely with research teams to translate complex technical requirements into robust, high-quality data pipelines that directly influence model performance, safety, and alignment.
This role blends
strategic operations leadership, technical fluency, and execution excellence , with ownership across the full data lifecycle—from research requirements and vendor management to production-quality datasets.
Strategic Impact The data systems and operational frameworks developed in this role will directly shape Anthropic’s most critical model capabilities, including:
Tool-use accuracy
Long-horizon reasoning
Robustness to prompt injection
Safety alignment and human feedback integration
By enabling researchers to move faster without compromising quality, the Data Operations Manager ensures that data remains a competitive and ethical advantage in advanced AI development.
Key Responsibilities The Data Operations Manager will:
Own and execute
data strategy
across research initiatives, including:
Reinforcement Learning from Human Feedback (RLHF)
AI safety and alignment research
Tool use and agentic workflows
Design and implement
scalable operational systems
that translate research goals into reliable data pipelines
Build and manage
strategic vendor partnerships
for data collection, labeling, and annotation
Establish
evaluation frameworks and quality standards
for state-of-the-art AI training data
Lead cross-functional initiatives to improve research velocity while maintaining rigorous quality controls
Proactively identify and mitigate
risks, bottlenecks, and inefficiencies
in data operations
Partner with senior research leaders to align data execution with long-term model development roadmaps
Candidate Profile Anthropic is seeking candidates who thrive at the intersection of
operations, research, and emerging technology .
Required Qualifications:
Minimum of
3 years of experience
in operations, consulting, product management, program management, or related roles
Exceptional
project management skills
with the ability to manage multiple complex workstreams
Strong communication skills across technical and non-technical audiences
Familiarity with large language models or a demonstrated interest in AI training methodologies
High organizational discipline and comfort operating in ambiguous, fast-paced environments
Experience using
data analysis tools
such as SQL, Python, Tableau, or advanced spreadsheets
Demonstrated passion for
AI safety
and data quality
Preferred Qualifications:
Experience with data collection, labeling, or annotation for AI/ML systems
Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows
Prior work with AI research teams or research-focused organizations
Vendor and contractor management experience
Consulting background translating complex requirements into executable plans
Track record of implementing
process improvements or quality systems at scale
Compensation and Benefits
Base Salary Range:
$250,000 – $365,000 USD annually
Total compensation includes:
Equity
Comprehensive benefits
Potential incentive compensation
Anthropic also offers generous vacation and parental leave, flexible working hours, equity donation matching, and thoughtfully designed collaborative office spaces.
Logistics and Policies
Education Requirement:
Bachelor’s degree or equivalent professional experience
Hybrid Policy:
Employees are expected to be in-office at least 25% of the time
Visa Sponsorship:
Available for many roles, with legal support provided
Relocation:
Candidates may be asked about relocation flexibility
Anthropic strongly encourages applications from individuals who may not meet every listed qualification, particularly candidates from underrepresented backgrounds.
Culture and Values Anthropic approaches AI research as an
empirical science , emphasizing collaboration, open dialogue, and long-term impact over short-term gains. The organization values diverse perspectives and recognizes the ethical and social implications of advanced AI systems.
Clear communication, thoughtful collaboration, and shared ownership of outcomes are central to how Anthropic works.
Why This Role Matters The Data Operations Manager position offers a rare opportunity to:
Influence the
core capabilities and safety
of frontier AI systems
Build foundational infrastructure that enables responsible AI scaling
Contribute meaningfully to the future of safe and aligned artificial intelligence
#J-18808-Ljbffr