Engineering Structures Journal Jobs in Oakland, CA

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 Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, Disney+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes.

What you'll do:

• 
  
• Write production Python that powers real-time bidding, model training, and campaign optimization
  
• Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
  
• Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
  
• Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution
  
• Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems
  
• Serve as a technical lead and mentor on a distributed engineering team
  

What we're looking for:

• 
  
• Strong production Python skills: you write code that runs in prod, not just notebooks
  
• Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones
  
• Familiarity with modern AI tools and good judgment about where they add value
  
• Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization
  
• Clear written communication: we're a distributed team and writing is how decisions get made
  
• Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping
  
• Nice-to-Haves:
  
  • 
    
  • Teaching experience
    
  • Causal inference: uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • Reinforcement learning or bandit algorithms in production
    
  • Experience building agentic AI systems or LLM-powered workflows
    
  • MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

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.

tvScientific is looking for aSenior QA Engineer for its Web Platformwith strong expertise inweb and API testing. This role requires a balance ofmanual testing excellenceandautomation skills, with a focus on validating end-to-end user flows across frontend, backend services, and APIs.

You will partner closely with frontend engineers, backend engineers, product managers, and designers to ensure our web platform and APIs are reliable, secure, and performant.

What you'll do:

• 
  
• Own and drivequalityfor web platform features, spanning UI, APIs, and backend services
  
• Design and executemanual test casesandexploratory testingfor complex web and API workflows
  
• Conduct thorough regression testing when bugs are resolved.
  
• Build and maintainautomated test suitesfor:
  
• Validatefrontend-backend integration, data consistency, and error handling
  
• PerformAPI contract testing, schema validation, and negative/edge-case testing
  
• Collaborate with engineers duringdesign, implementation, and code reviewsto improve testability and catch issues early
  
• Integrate automated tests intoCI/CD pipelinesto provide fast, reliable feedback
  
• Analyze test failures, investigate root causes, and drive issues to resolution
  
• Advocate for quality best practices, includingshift-left testing, risk-based testing, and automation strategy
  
• Identify, document, and track software defects using bug tracking tools like Jira.
  
  

What we're looking for:

• 
  
• Experience in QA / Quality Engineering, with a strong focus onweb platforms and APIs
  
• Proven hands-on experience withmanual testingof complex, consumer-facing web applications
  
• Strong experience building and maintainingAPI testsusing tools such as Postman, REST-assured, Supertest, or similar
  
• Hands-on experience withweb automation frameworks(Playwright, Cypress)
  
• Solid understanding ofHTTP, REST and API design principles
  
• Proficiency in at least one programming or scripting language (JavaScript, TypeScript)
  
• Experience working inAgile/Scrumenvironments
  
• Strong debugging, analytical, and communication skills
  
• Strategic partnership with stakeholders /Cross-functional collaboration that is high-trust and high-velocity
  
• Nice-to-Haves:
  
  • 
    
  • Experience testinglarge-scale, high-traffic web platforms
    
  • Familiarity withReact or modern frontend frameworks
    
  • Experience withperformance, load, or reliability testingfor APIs and web applications
    
  • Exposure to feature flags, experimentation platforms, or observability tools
    
  
  
  

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.

With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

• 
  
• May 18, 2026 - August 7, 2026
  
• June 15, 2026 - September 4, 2026
  

What you'll do:

• 
  
• Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models
  
• Write clean, efficient, and sustainable code
  
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
  
• Scope and independently solve moderately complex problems
  
• Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
  

What we're looking for:

• 
  
• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
  
• Experience in research and in solving analytical problems
  
• Strong communicator and team player with the ability to find solutions for open-ended problems.
  
• Preferred Qualifications:
  
  • 
    
  • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    
  • Interest in research and in applying ML to impactful real-world problems on the Pinterest product
    
  
  
  

Why Intern at Pinterest?

• 
  
• Meaningful Work: Contribute to projects that impact millions of users worldwide.
  
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  
• This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
  
  

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. 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.

US based applicants only

The salary for this position is $12,100 monthly.

#LI-HYBRID
#LI-EB1

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.

Pinterest helps Pinners discover and do what they love. The Content Success team is responsible for ensuring that Pinners see fresh new products, ideas and inspiration in their recommendations and that Content Producers receive value from the platform through exposure, engagement and monetization. We work across different recommendation surfaces (Homefeed, Search, Related Pins, Ads) to develop new integrations and signals. We are looking for an experienced Engineering Manager who can drive the team's technical direction, lead the team in developing new integrations and signals for recommendation systems and make an impact on Pinterest's topline metrics.

What you'll do:

• 
  
• Lead, mentor and grow a team of experienced backend and machine learning engineers in developing advanced signals, integrations and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
  
• Provide thought leadership in content distribution and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field. Act as the glue between content acquisition and recommendation pods becoming the expert in both these areas.
  
• Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
  
• Help the team solve difficult technical challenges such as:
  
  • 
    
  • How to build new ML systems, candidate generators, features and models that can handle millions of new Pins every day with low latency to effectively distribute fresh content and be re-usable across recommendation surfaces?
    
  • How to determine what fresh content our Pinners will be inspired by and predict their future engagement metrics?
    
  • How to identify and remove biases from existing recommendation systems?
    
  • How to experiment with and measure the impact of content acquisition changes on the user experience?
    
  • How to enhance the titles of new content to increase their engagement?
    
  
  

What we're looking for:

• 
  
• 7+ years of industry experience, including 2+ years of management experience.
  
• Experience with:
  
  • 
    
  • developing and deploying large-scale machine learning systems in search and recommendations.
    
  • big data technologies (e.g. Hadoop, Spark) and scalable realtime systems that process stream data (e.g Kafka, Flink).
    
  • applying NLP models and LLMs to content understanding and recommendation systems.
    
  
  
• Experience building and leading high performing teams within a visible business vertical .
  
• Experience working with numerous cross functional partners to drive a collective initiative.
  
• Bachelors degree in a technical field, or equivalent work experience.
  

Relocation Statement:

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

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-DM57

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:

Job Summary:

We are seeking a skilled Electrical Maintenance Engineer to join our team. The ideal candidate will be responsible for designing, developing, and testing electrical systems and components.

Job responsibilities:

1. Responsible for installation, commissioning, operation, maintenance and transformation of the equipment to ensure the normal operation of the equipment.

2. Responsible for electrical installation, commissioning and maintenance of equipment.

3. Responsible for the fault diagnosis and elimination of the electrical system of the equipment, timely solve the equipment failure, and ensure the stable operation of the production line.

4. Responsible for the maintenance and maintenance of the electrical system of the equipment, formulate and implement the maintenance plan of the equipment.

5. Responsible for the technical transformation and upgrading of the electrical system of the equipment to improve the performance and efficiency of the equipment.

6. Participate in the introduction of new equipment and technical exchanges, provide technical support and suggestions.

7. Participate in the safe production management of the equipment, formulate and implement the safe operation procedures of the equipment.

Job Requirements:

1. Bachelor's degree or above, major in electrical engineering and automation, or related.

2. More than 3 years of equipment electrical maintenance experience.

3. Familiar with the principle of electrical control, proficient in PLC programming and debugging.

4. Familiar with the working principle and operation process of automation equipment and production line.

5. Have a good team spirit and communication skills, can work under pressure.

6. Have strong ability to analyze and solve problems, and can independently deal with equipment failures.

7. Familiar with relevant laws and regulations and safety standards, with safety awareness.

POSITION

Geologist/Environmental Engineer

SALARY RANGE

$75K – $115K depending on level of experience.

ROLE

• Plan and conduct Phase I and II Environmental Site Assessments (ESAs), site characterizations, and remedial investigations for complex contaminated properties (e.g., highway corridors, industrial properties, and large-scale redevelopment and infrastructure projects for public agencies including the Port of Oakland, City of San Francisco, and Contra Costa County).
• Oversee drilling, well installation, soil/groundwater/soil vapor sampling, noise level surveys, air monitoring, and construction oversight.
• Prepare boring logs and process soil, groundwater, and soil vapor data.
• Develop or refine Conceptual Site Models to support data interpretation, risk assessments, and remedial strategy.
• Assist in the preparation of high-quality technical reports, including investigation reports, feasibility studies, and remediation plans.

EXPERIENCE

• Bachelor's degree in geology or environmental engineering.
• 3 to 10 years of professional experience is preferred.
• A California professional registration (PG or PE) is preferred.

LOCATION

• Hybrid remote and Downtown Oakland office.

BENEFITS

Baseline offers a very competitive wage and benefits package, including 100% coverage of medical premiums, 401(k) profit sharing, and 10 to 25 days of vacation and 11 holidays per year. We strongly encourage a good work-life balance with staff who can effectively work both independently and in a team environment.

We're working with a fast growing AI startup in SF that's hiring a GTM Engineer to help scale revenue through data, analytics, and experimentation.

This isn't a typical analytics role.

You'll sit at the intersection of product, growth, and engineering, building the systems that determine how the company acquires customers, measures performance, and optimizes every part of the funnel.

Your work directly impacts revenue.

What makes it interesting is the environment:

• High ownership across growth and product systems

• Direct exposure to paid channels, product analytics, and revenue data

• Building real infrastructure, not just dashboards

• Heavy use of AI to surface insights and drive decisions

• 14 hour days in a high-intensity environment where you move fast and see immediate impact

They're looking for people who:

• Have strong Python and SQL skills

• Have worked with paid acquisition data (Google, Meta, TikTok)

• Think in experiments and understand causation vs correlation

• Have built or owned metrics, attribution, or LTV/CAC systems

• Want to work in a fast-paced, high-growth environment

SF based, in office

$130K to $190K + bonus + equity

If this sounds interesting, feel free to message me or get in touch.

Open date: December 3, 2025

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: Friday, Jul 31, 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 College Writing Programs at the University of California, Berkeley, invites applications for a pool of qualified temporary instructors to teach summer courses in the College Writing Programs should openings arise. The number of positions varies from summer to summer, depending on the department's needs. All positions are handled on a by-agreement basis.

Programs include:

English Language and Culture: Our English for Academic and Specific Purposes courses are aimed at high-beginning through advanced-level students who want to enhance their English language skills, improve job performance, or undertake university work. Courses are offered both online and in person and are grounded in theme-based and project-based learning.

Creative Writing: Courses include short fiction and drama, nonfiction, poetry, and performance and reading. Most courses are 3-week workshops, although a few are in a longer 6-week format. They are offered both online and in person. A record of publication in creative writing is preferred for creative writing teaching candidates.

Public Speaking: We offer introductory, advanced, and online public speaking courses for lower-division students. All are in a 6-week format.

Reading and Writing in the Disciplines: Courses focusing on education; writing in the biological sciences, law, and business; and other disciplines are offered both online and in person.

Reading & Composition (Berkeley students): We offer online sections of required courses for Berkeley undergraduates, who receive priority enrollment. Instructors must be experienced in teaching composition. Course lengths vary from 8 to 10 weeks.

Job duties:

Successful applicants will teach one or more summer courses. Applicants will be responsible for all classes, including crafting syllabi, teaching in a classroom environment, and grading student work. Instructors will also be required to attend faculty meetings.

Successful applicants will be interested not only in teaching but also in being part of a faculty team. Participation in faculty development workshops and ongoing self-evaluation are important to our program.

UC lecturers are academic appointees and are represented by an exclusive bargaining agent, University Council - American Federation of Teachers (UC-AFT). This position is covered by the collective bargaining agreement of the UC-AFT.

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in APRecruit to learn whether the department is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. UC Berkeley is committed to supporting employees as they balance work and family.

Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.

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

Program: courses/summer

• 
  
• Completion of or enrollment in an advanced degree program
  

• 
  
• Completion of advanced degree
  

All candidates

• 
  
• Three (3) years experience teaching university-level students in your area of expertise
  
• An understanding of the ethics and use of GenAI in university settings
  
• Evidence of ongoing professional development
  
• Evidence of clear communication skills as presented in application materials
  

English Language and Culture

• 
  
• A Masters' degree or higher, or equivalent international degree, in one of the following fields: TESL, TEFL, TEAL, applied linguistics, language teaching/education, - ESP discipline (i.e., business, law, science/technology)
  
• Experience working with adult ESL/EFL students in university-level courses
  
• Experience with content-, theme-, and project-based language teaching
  
• Experience living/working outside of the U.S. in a non-English speaking country
  
• Basic proficiency in a language other than English
  

Creative Writing

• 
  
• MFA, MA, or PhD in Creative Writing, English, Journalism, or Comparative Literature
  
• A publication record in fiction, non-fiction, poetry, or feature journalism
  Public Speaking
  
• An MA, MFA, JD, or PhD in English, Education, Journalism, Law, Rhetoric, or Composition
  

Reading and Writing in the Disciplines

• 
  
• An MA, PhD, MS, JD, MEd, in English, Composition Studies, or specific discipline (biology, law,, engineering, journalism, rhetoric, etc)
  
• Experience in the written discourse of the discipline, as demonstrated through publication or teaching experience
  

Reading & Composition

• 
  
• An MA, MFA, or PhD. In Composition Studies, English, Comparative Literature, Rhetoric, or Education
  
• Knowledge and understanding of current approaches to teaching reading and writing
  

• Curriculum Vitae - Your most recently updated C.V.; no photographs; do NOT indicate age or marital status

  
  

• Cover Letter

  
  

• Up to 12 pages of sample teaching materials - A variety is encouraged to highlight teaching style: classroom materials, sample assignments, an instructor-designed syllabus, etc.

  
  

• 2 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
  

Our client, a Fortune 500 retail organization with a nationwide distribution network, is seeking a Strategic Sourcing Manager to support large-scale construction and facilities engineering procurement initiatives across their supply chain network.

This role plays a key part in sourcing industrial construction materials, equipment, and services for new facility builds, expansions, and ongoing engineering initiatives. The individual will partner closely with engineering, property development, legal, finance, and operations teams to design sourcing strategies that deliver cost efficiency, risk mitigation, and supplier performance improvements.

The ideal candidate will bring deep expertise in construction procurement, contract negotiation, and cost modeling, with the ability to influence stakeholders and drive complex sourcing projects from concept through execution.

Projects You’ll Work On

• Leading end-to-end strategic sourcing initiatives for industrial construction and facilities engineering categories.
• Developing sourcing strategies for categories such as steel structures, concrete, MEP systems, material handling equipment, racking systems, conveyors, and site services.
• Managing the full sourcing lifecycle including market research, supplier identification, RFP development, bid management, negotiations, and contract execution.
• Conducting construction cost analysis, clean-sheet modeling, and should-cost modeling to identify optimal pricing and savings opportunities.
• Partnering with engineering and development teams to support distribution center construction, expansions, and infrastructure upgrades.
• Managing supplier relationships and performance through KPIs, quarterly business reviews (QBRs), and executive-level supplier meetings.
• Performing spend analysis and market intelligence research to anticipate supply risks and pricing fluctuations.
• Driving cost optimization through value engineering, competitive bidding, and strategic negotiations.
• Supporting facilities engineering teams with sourcing for material handling equipment repair, refurbishment, and replacement.
• Developing presentations and recommendations for executive leadership to support strategic sourcing decisions.

What Experience You Should Bring

• Bachelor’s degree in Supply Chain, Construction Management, Engineering, Finance, Economics, or Business (MBA or advanced degree preferred).
• 5+ years of strategic sourcing or category management experience focused on industrial construction or facilities engineering procurement.
• Experience managing large-scale sourcing projects for construction materials, contractors, or engineering services.
• Strong understanding of construction cost estimation, budgeting, and material cost drivers.
• Experience leading RFP/RFQ processes, supplier negotiations, and contract development.
• Ability to analyze supplier bids using TCO modeling, cost analysis, and financial modeling.
• Experience working cross-functionally with engineering, legal, finance, and project management teams.

What Will Help You Stand Out

• Familiarity with distribution center construction, logistics infrastructure, or retail supply chain environments.
• Experience working with construction management software (e.g., Procore) and sourcing platforms (e.g., Coupa).
• Knowledge of regulatory frameworks such as OSHA, LEED, and construction compliance standards.
• Professional certifications such as CPSM, CCM, or CCPS.
• Strong financial acumen including experience analyzing budgets, cash flow, and cost structures.
• Advanced Excel skills (pivot tables, VLOOKUPs, data modeling) and strong presentation capabilities.

Work Environment

• Hybrid role with regular in-office collaboration and occasional travel to facilities and project sites.
• Ability to manage multiple sourcing projects simultaneously in a fast-paced, cross-functional environment.

Compensation & Benefits

The base salary range for this position is up to $200,000.00, depending on experience and qualifications.

The total rewards package may include performance incentives, health benefits, retirement plans, and professional development opportunities.