Information Technology And Management Jobs in Berkeley, CA

• Provide advanced medical care and operational services for Marine Reconnaissance, USMC Special Operations Forces and Navy Special Operations Command personnel, like SWCC and SEALs
• Engage as a team member in direct action, special reconnaissance, foreign internal defense and unconventional warfare

• Rescue patients and deliver emergency care from the back of a helicopter
• Perform aircrew duties and En Route Care (ERC) for routine illness and emergent patients
• Provide relief and assistance in areas ravaged by catastrophic natural disasters
• Support Search and Rescue (SAR), tactical evacuation (TECEVAC), Medical Evacuation (MEDEVAC), casualty evacuation (CASEVAC) and Combat Search & Rescue (CSAR) for Navy and Marine Corps Aviation

• Provide basic medicine and assist medics in prevention and treatment of diving related illnesses, injuries associated with deep sea diving and hyperbaric conditions
• Operate, test and repair all Navy diving equipment
• Perform underwater inspections, harbor/port/ship security inspections, conduct ordnance searches, rescue personnel, engage in special warfare and small boat operations
• Operate Swimmer Delivery Vehicle Dry-Deck Shelter system and submarine Lock-in/Lock-out systems

• Special Operations Independent Duty Corpsman Pipeline (121 weeks)
  Areas of training include but are not limited to basic reconnaissance, airborne operations, combatant diving, demolitions, clinical diagnostics, advanced trauma skills, Advanced Cardiac Life Support (ACLS), basic surgical anesthesia, basic veterinary medicine and basic dental exams.
• Search and Rescue Medical Tech Pipeline (27 weeks)
  Areas of training include but are not limited to advanced fluid resuscitation, administration and management of Advanced Life Support medications, use of emergency medical equipment, rescue and recovery devices and patient handling.
• Medical Deep Sea Diving Tech Pipeline (28 weeks)
  Areas of training include but are not limited to diving physics, scuba and surface-supplied air diving, recognition and treatment of diving related illnesses.

• Vision correctable to 20/20
• Normal color perception
• Pass a physical examination
• 28 years of age or younger
• U.S. citizen eligible for security clearance

• Provide advanced medical care and operational services for Marine Reconnaissance, USMC Special Operations Forces and Navy Special Operations Command personnel, like SWCC and SEALs
• Engage as a team member in direct action, special reconnaissance, foreign internal defense and unconventional warfare

• Rescue patients and deliver emergency care from the back of a helicopter
• Perform aircrew duties and En Route Care (ERC) for routine illness and emergent patients
• Provide relief and assistance in areas ravaged by catastrophic natural disasters
• Support Search and Rescue (SAR), tactical evacuation (TECEVAC), Medical Evacuation (MEDEVAC), casualty evacuation (CASEVAC) and Combat Search & Rescue (CSAR) for Navy and Marine Corps Aviation

• Provide basic medicine and assist medics in prevention and treatment of diving related illnesses, injuries associated with deep sea diving and hyperbaric conditions
• Operate, test and repair all Navy diving equipment
• Perform underwater inspections, harbor/port/ship security inspections, conduct ordnance searches, rescue personnel, engage in special warfare and small boat operations
• Operate Swimmer Delivery Vehicle Dry-Deck Shelter system and submarine Lock-in/Lock-out systems

• Special Operations Independent Duty Corpsman Pipeline (121 weeks)
  Areas of training include but are not limited to basic reconnaissance, airborne operations, combatant diving, demolitions, clinical diagnostics, advanced trauma skills, Advanced Cardiac Life Support (ACLS), basic surgical anesthesia, basic veterinary medicine and basic dental exams.
• Search and Rescue Medical Tech Pipeline (27 weeks)
  Areas of training include but are not limited to advanced fluid resuscitation, administration and management of Advanced Life Support medications, use of emergency medical equipment, rescue and recovery devices and patient handling.
• Medical Deep Sea Diving Tech Pipeline (28 weeks)
  Areas of training include but are not limited to diving physics, scuba and surface-supplied air diving, recognition and treatment of diving related illnesses.

• Vision correctable to 20/20
• Normal color perception
• Pass a physical examination
• 28 years of age or younger
• U.S. citizen eligible for security clearance

Open date: February 24, 2026

Next review date: Thursday, Apr 30, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Thursday, Apr 30, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date.

This position will assist with research at the forefront of Behavioral, Public, and Labor Economics. The position entails analyzing public and private datasets using quasi-experimental methods, assisting with literature reviews, helping set-up and analyze randomized experiments both online and in the field, and using computational techniques to test predictions of economic theory and to evaluate public policies. Will perform data analysis using statistical packages such as Stata and perform numerical simulations using languages such as Matlab. Will utilize collaborative tools like GitHub to manage projects and tasks. We will help prepare the researcher for applying to graduate programs in economics.

Duties will include:

• 
  
• Assists in setting up experiments in the field and online. Coordinates surveys and the data collection process. Responds to questions from participants.
  
• Assist in the set-up and analysis of randomized experiments both online and in the field, and using computational techniques to test predictions of economic theory and to evaluate public policies.
  
• Applies professional or research concepts to perform analysis of data and systems pertaining to moderately complex projects, policies, initiatives, / processes, and / or functions:
  
• Assists with research at the forefront of Behavioral, Public, and Labor Economics by analyzing public and private datasets using quasi-experimental methods. Conducts data construction, analysis and processing. Performs data analysis using statistical packages such as STATA and perform numerical simulations using languages such as Matlab.
  
• Edits manuscript drafts for consistency, typos, and statistical accuracy
  
• Performs reviews of relevant literatures in economics and related disciplines, and related policy briefs.
  

Bachelor's degree (or equivalent international degree) or enrolled in a Bachelor's degree (or equivalent international degree) program

Bachelor's degree (or equivalent international degree)

• 
  
• Skills to learn organization-specific and other computer application programs.
  
• Basic communication and interpersonal skills to communicate effectively, both verbally and in writing.
  
• Ability to use discretion and maintain all confidentiality.
  
• Ability to use sound judgment in responding to issues and concerns.
  
• Basic skills to analyze and research information and learn to synthesize large amounts of data with strong attention to detail.
  
• Basic program and project management skills.
  
• Acquiring knowledge of applicable policy analysis techniques.
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter (Optional)

  
  

• 1 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: January 26, 2026

Most recent review date: Monday, Feb 9, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Haas School of Business at the University of California, Berkeley is seeking highly motivated individuals for the position of Junior or Assistant Specialist. This role will involve close collaboration on a number of research projects in one of the following two areas:

Area 1:

Applied microeconomics focusing on innovation, political economy, public finance, and industrial organization. The candidate would work at the Haas School of Business under the supervision of Business & Public Policy (BPP) Assistant Professor, Cailin Slattery, and Economic Analysis & Policy (EAP) Assistant Professor, Carolyn Stein.

Area 2:

Applied microeconomics focusing on health care, labor, productivity, and equity. The candidate would work at the Haas School of Business under the supervision of Economic Analysis & Policy (EAP) Professor, David Chan.

Examples of their research can be found in the links section.

General Duties:

* Research Design & Methodology: Participate in all stages of the research process, from literature reviews and hypothesis formulation to the design and interpretation of econometric analyses. This includes applying methods of causal inference and structural or reduced-form econometrics.

* Data Lifecycle Management: Manage, manipulate, and clean large-scale datasets. Identify and resolve technical problems or coding errors to ensure data integrity from ingestion to analysis.

* Technical Programming: Write efficient, collaborative, and replicable computer code to implement analyses. Maintain version-controlled codebases that facilitate team collaboration and project transparency.

* Documentation & Replication: Maintain rigorous documentation of all work. Lead the creation of comprehensive replication packages and technical appendices to ensure research findings are verifiable.

* Output & Publication: Assist in the preparation of research manuscripts and project reports. Design and generate high-quality tables, graphs, and visualizations for publication.

* Project Coordination: Facilitate project momentum by running team meetings and monitoring statistical deliverables to ensure they meet quality assurance standards.

Unit:

Unit:

Unit: faculty/david-chan/

The minimum qualification to be enrolled in a Bachelor's Degree, or equivalent international degree program at time of application.

A Bachelor's Degree, or equivalent international degree at the start of appointment.

The position is ideal for someone with a serious interest in economics research and an intention to apply to graduate school in economics or a related field.

Successful candidates have:

* Strong communication skills

* Strong quantitative background

* Attention to detail

* Strong programming skills

* Ability to work independently and in teams

* Prior work experience in research or industry is a plus

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter - Please indicate which research project you are applying for:

  
  
  

  Area 1:
  
  Applied microeconomics focusing on innovation, political economy, public finance, and industrial organization. The candidate would work at the Haas School of Business under the supervision of Business & Public Policy (BPP) Assistant Professor, Cailin Slattery, and Economic Analysis & Policy (EAP) Assistant Professor, Carolyn Stein.

  
  
  

  Area 2:
  
  Applied microeconomics involving close collaboration on a number of research projects in focusing on health care, labor, productivity, and equity. The candidate would work at the Haas School of Business under the supervision of Economic Analysis & Policy (EAP) Professor, David Chan.

  
  

• 1-3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Staff Data Engineer to lead the design, implementation, and evolution of our identity services and data governance platform. This role is critical to ensuring trusted, privacy-safe, and well-governed data across the organization. You will work at the intersection of data engineering, identity resolution, privacy, and platform reliability.This is anindividual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.

What you'll do:

• 
  
• Identity Services:
  
  • 
    
  • Design and maintain a scalable identity resolution platform
    
  • Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources
    
  • Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable
    
  • Partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets
    
  • Build and operate batch and streaming pipelines using modern data stack tools
    
  • Create clear documentation, standards, and runbooks for identity and governance systems
    
  
  
  
• Data Governance & Trust
  
  • 
    
  • Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls
    
  • Implement privacy-by-design principles (PII handling, consent enforcement, retention policies)
    
  • Collaborate with legal, privacy, and security teams to operationalize regulatory requirements (e.g., GDPR, CCPA)
    
  • Establish monitoring and alerting for data quality, freshness, and integrity
    
  
  
  

What we're looking for:

• 
  
• Data engineering experience with proven track record building data infrastructure using Spark with Scala
  
• Proven experience building data infrastructure using Spark with Scala for at least 5 years
  
• Experience in delivering significant technical initiatives and building reliable, large scale services
  
• Experience in delivering APIs backed by relationship-heavy datasets
  
• Experience implementing data governance practices, including data quality, metadata management, and access controls
  
• Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
  
• Familiarity with data lakes, cloud warehouses, and storage formats
  
• Strong proficiency in AWS services
  
• Successful design and implementation of scalable and efficient data infrastructure
  
• High attention to detail in implementation of automated data quality checks
  
• Effective collaboration with cross-functional teams
  
• Excellent written and verbal communication skills
  
• Bachelor's degree in Computer Science or a related field
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Senior Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.

What you'll do:

• 
  
• Implement robust data infrastructure in AWS, using Spark with Scala
  
• Evolve our core data pipelines to efficiently scale for our massive growth
  
• Store data in optimal engines and formats
  
• Collaborate with our cross-functional teams to design data solutions that meet business needs
  
• Built out fault-tolerant batch and streaming pipelines
  
• Leverage and optimize AWS resources while designing for scale
  
• Collaborate closely with our Data Science and Product teams
  
• How we'll define success:
  
  • 
    
  • Successful implementation of scalable and efficient data infrastructure
    
  • Timely delivery and optimization of data assets and APIs
    
  • High attention to detail in implementation of automated data quality checks
    
  • Effective collaboration with cross-functional teams
    
  
  
  

What we're looking for:

• 
  
• Production data engineering experience
  
• Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
  
• Familiarity with data lakes, cloud warehouses, and storage formats
  
• Strong proficiency in AWS services
  
• Expertise in SQL for data manipulation and extraction
  
• Excellent written and verbal communication skills
  
• Bachelor's degree in Computer Science or a related field
  
• Nice-to-Haves
  
  • 
    
  • Experience in adtech
    
  • Experience implementing data governance practices, including data quality, metadata management, and access controls
    
  • Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
    
  • Familiarity with data table formats like Apache Iceberg, Delta
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Open date: February 13, 2026

Most recent review date: Saturday, Feb 28, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Research Assistant will assist Professor Jesse Rothstein's academic and policy research. Rothstein is a labor economist with joint appointments in the Goldman School of Public Policy and the Department of Economics. He serves as faculty director of the Center for Studies in Higher Education and the California Policy Lab.

The Research Assistant will be involved in projects on a range of topics in labor economics, higher education, and public policy, potentially including work on intergenerational mobility, the social safety net, educational pathways and outcomes, determinants of wages and employment, and labor market and education policy.

Duties will include:

• 
  
• Cleans and prepares data sets, primarily from government sources, for analysis, using Stata and R.
  
• Analyzes research data; summarizes information; implements statistical approaches for labor economics and higher education research projects, under direct supervision.
  
• Prepares graphs, tables, and other displays of the results of research and analysis.
  
• Assists with preparation of reports and analyses, including gathering references, copyediting, and confirming internal consistency.
  
• Reviews academic and applied research, and prepares research collections for PI review.
  
• Assists with design, documentation, and implementation of quantitative empirical research studies.
  
• Assists in coordination of research projects, including management of data access agreements, publication agreements, and other administrative aspects of the projects.
  
• Assists in proposal writing.
  

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

Department:

Unit:

Bachelor's degree (or equivalent international degree) or enrolled in a Bachelor's degree (or equivalent international degree) program

Bachelor's degree (or equivalent international degree).

• 
  
• U.S. Census Special Sworn Status to access restricted-use data (or reasonably be able to obtain within 4 months of start date).
  
• Demonstrated knowledge of research function. Ability to perform research analysis duties.
  
• Demonstrated statistical analysis, systems programming, and database design skills to perform research analysis duties. Knowledge of Stata, or ability to learn Stata, strongly preferred.
  
• Ability to effectively manage time and see assigned parts of projects through to completion deadline.
  
• Skills to communicate complex information in a clear and concise manner both verbally and written.
  
• Strong interpersonal and communication skills, including strong writing skills.
  
• Demonstrated interest in labor economics and higher education research.
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Copy of Undergraduate Degree Transcript

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

One of Swoons top clients in the Artificial Intelligence space is hiring a Professional Services Sourcing manager to join their team out of San Francisco, CA!

Details:

Location: Hybrid - San Francisco

Rate: $80-$95/hour W2

Duration: 6 months to start with chance of extension

This person will bridge strategic category leadership and day-to-day sourcing execution. This role sits between category coordination and category strategy, with a stronger tilt toward sourcing ownership, supplier strategy, and cross-functional deal execution. It will also be involved in M&A activities, helping to integrate the vendors of acquired companies.

Day to Day:

• Lead end-to-end sourcing for professional services engagements, from intake through negotiation, contracting, and award.
• Negotiate MSAs and ISAs with a wide range of professional services firms and align commercial terms to OpenAI’s risk and governance standards.
• Build and run competitive processes (RFP/RFQ), including scope shaping, bid evaluation, and commercial recommendation development.
• Partner with Legal, Finance, Security, and Extended Workfoce teams to structure agreements that balance speed, flexibility, compliance, and value.
• Standardize sourcing playbooks, rate card approaches, and service taxonomy to reduce fragmentation across the category.
• Build playbooks and repeatable frameworks for M&A-related sourcing and contract integration activities.

Requirements:

• 8+ years of experience in sourcing, category management, procurement, or commercial operations in fast-scaling environments.
• Strong sourcing and negotiation experience across professional services, consulting, or contingent/advisory spend.
• Experience in M&A post merger integration of contracts
• Experience balancing strategic category goals with high-volume, hands-on sourcing execution.

Looking for a Gen AI architect with 15+ years experience and 8+years experience focusing on Model Optimization, Fine-Tuning & Strategic AI in San Francisco, CA.

Role Summary:

You represent the pinnacle of Applied AI engineering. You are not just using APIs; you are optimizing the models themselves. You understand the mathematics behind the attention mechanism, you know how to squeeze performance out of GPUs, and you can customize models for specific domains. You provide the high-level technical vision and handle the most difficult edge cases. .

Key Responsibilities:

Model Fine-Tuning: Implement PEFT (Parameter-Efficient Fine-Tuning), LoRA, and QLoRA to adapt open-source models (Llama 3, Mistral) to specific client domains.

Optimization & Quantization: Perform model quantization to reduce inference costs and latency without sacrificing quality. Manage Dense Vectors and embedding optimizations.

State-of-the-Art Exploration: Continuously research and implement the latest advancements (e.g., State Space Models, Long-Context optimizations) into client deliverables.

Strategic Consulting: Act as a trusted advisor to C-level client executives, defining the "Art of the Possible" and guiding long-term AI roadmaps.

Technical Requirements:

Deep Learning: PyTorch/TensorFlow, Transformers architecture internals, Attention mechanisms.

Model Ops: Serving custom models (vLLM, TGI), GPU memory management, Quantization techniques (GGUF, AWQ).

Advanced Data: Training data curation, synthetic data generation, RLHF concepts.

Tech Leadership: Ability to define the technical culture and set standards for the entire FDE organization.

Soft Skills:

Executive communication and ability to influence C‑level leaders.

Thought leadership and industry presence (conferences, playbooks, forums).

Cross‑org leadership and conflict resolution.

Ability to define long‑term AI vision and cultural standards.

Strategic decision‑making balancing cost, risk, and performance.