Jobs in Palomar Park, CA

Border Patrol Agent (BPA) Entry Level A MISSION WORTHY OF A CAREER! If you're looking for "just a job," then stop reading right now.

But, if you're looking for a long-term federal law enforcement career, one that makes a difference every day to our country and its citizens, then the U.S.

Border Patrol (USBP) would like you to take the first step to becoming an entry level Border Patrol Agent.

USBP is hiring immediately to fill full-time, entry-level, career positions in federal law enforcement.

Train and work with an elite team of professionals whose camaraderie, pride, and sense of purpose are hallmarks of their daily mission of protecting America.

Now is the time to make your move because, along with excellent base pay, exceptional benefits, and job stability, USBP is offering up to $60,000 in additional incentives (see details below) .

Salary and Benefits Annual base salary for newly appointed BPAs varies per grade, as follows: GL-5/GL-7 $49,739
- $89,518 per year.

Border Patrol Agents are eligible to select from an array of federal employment benefits that include health, dental and other insurance plans, a generous annual and sick leave program, and participation in the Thrift Savings Plan, a retirement plan akin to a traditional ROTH 401(k) offering.
*Recruitment Incentive
* Newly appointed Border Patrol Agents (as defined in 5 CFR 575.102 ) will be eligible for up to $20,000 in incentives.

The first $10,000 will be paid upon successful completion of the Border Patrol Academy, with the remaining $10,000 awarded for accepting a prioritized location such as Sierra Blanca, Presidio, Sanderson, Comstock, Freer or Hebbronville, TX; Lordsburg, NM; or Ajo, AZ.
*Retention Incentive
* Newly appointed Border Patrol Agents may also qualify for up to $40,000 in additional incentives distributed over their first four years.

Duty Locations IMPORTANT NOTICE: Duty assignments available at the time of offer may include the Southwest Border, including prioritized locations.

U.S.

Border Patrol determines duty assignments at the time of offer based on operational needs, which may or may not align with candidates' first-choice preferences.

Relocation may be required.

Duty location impacts pay rates; locality pay for federal law enforcement is higher in some locations than others.

A fully trained BPA may be eligible for up to an additional 25% of base pay per the BPA Pay Reform Act of 2014.

This is a career ladder position with a grade level progression of GL-5, GL-7, GL-9, GS-11, and GS-12.

You will be eligible for a promotion to the next higher grade level (without reapplying) once you successfully complete 52 weeks in each grade level.

Duty Locations: You will be asked to select your preferred location for one of the following mission critical locations: Big Bend Sector Stations
-
*Presidio, Van Horn,
*Sanderson, Alpine,
*Sierra Blanca, Marfa Buffalo Sector Stations
- Wellesley Island Del Rio Sector Stations
- Del Rio, Brackettville,
*Comstock, Eagle Pass North, Eagle Pass South, Carrizo Springs, Uvalde El Paso Sector Stations
- Alamogordo, Clint, Deming, El Paso, Fort Hancock, Las Cruces,
*Lordsburg, Santa Teresa, Ysleta El Centro Sector Stations
- El Centro, Indio, Calexico Grand Forks Sector Stations
- Pembina Havre Sector Stations
- Havre, Malta, Plentywood, Scobey, Sweetgrass Houlton Sector Stations
- Calais, Fort Fairfield, Jackman, Rangeley, Van Buren Laredo Sector Stations
- Laredo South, Cotulla,
*Hebbronville, Laredo West,
*Freer, Laredo North, Zapata Rio Grande Valley Sector Stations
- Rio Grande City, Fort Brown, McAllen, Brownsville, Falfurrias, Weslaco, Kingsville, Harlingen San Diego Sector Stations
- Boulevard, Brownfield, Campo, Chula Vista, Imperial Beach, Murrieta, San Clemente Spokane Sector Stations
- Colville, Curlew, Metaline Falls, Oroville Swanton Sector Stations
- Beecher Falls, Burke, Champlain, Newport, Richford Tucson Sector Stations
-
*Ajo, Tucson, Nogales, Douglas, Brian A Terry, Sonoita, Casa Grande, Three Points Substation, Willcox Yuma Sector Stations
- Blythe, Yuma, Wellton Duties and Responsibilities As a BPA, you will be part of our 60,000 workforce that strives to protect the American people by safeguarding our borders, deterring illicit activity, and enhancing the nation's economic prosperity.

Being a BPA makes you a valuable member of the Federal Law Enforcement Officer (LEO) profession.

Typical assignments include: Detecting and questioning people suspected of violating immigration and custom laws and inspecting documents and possessions to determine citizenship or violations Preventing and apprehending undocumented noncitizens and smugglers of noncitizens at or near the borders by maintaining surveillance from covert positions to include using infrared scopes during night operations Interpreting and following tracks, marks, and other physical evidence of illegal entry of persons or contraband Performing farm checks, building checks, traffic checks, city patrols, and transportation checks Patrolling the international boundary and coastal waterways using a variety of government assets such as vehicles, horses, vessels, watercraft, off-road vehicles, ATVs, snowmobiles, and motorcycles for the accomplishment of the USBP Mission.

Qualifications You qualify for the GL-5 grade level if you possess one of the following: Experience: One (1) year of general work experience that demonstrates the ability to take charge, make sound decisions, and maintain composure in stressful situations; to learn regulations, methods, and techniques through classroom training and/or on-the-job instruction; and the ability to gather concise information through questioning, observation, and examination of documents and records; OR Education Substitution: A bachelor's degree or successful completion of a full four-year course of study in any field leading to a bachelor's degree from an accredited college or university; OR Combination of Experience and Education: A combination of general work experience AND successfully completed college education.

This will be calculated using your resume and official or unofficial transcripts submitted with your application.

You qualify for the GL-7 grade level if you possess one of the following: Experience: One year of specialized work experience that shows you have the skills necessary to: Make sound judgments and decisions in the use of firearms.

Deal effectively with people in a courteous and tactful manner in connection with law enforcement matters.

Analyze information rapidly and make prompt decisions where you will be expected to make arrests after the completion of required training and apply these skills in a law enforcement capacity such as criminal code enforcement, determining violations of laws, correctional or rehabilitation work involving criminal offenders, security, military, etc.

The above experience will be applied in connection with the following: Make arrests and exercise sound judgment in the use of firearms; deal effectively with people in a courteous manner in connection with law enforcement matters; analyze information rapidly and make prompt decisions; or develop and maintain contact with a network of informants.

Education Substitution for the GL-7 grade level: A bachelor's degree with superior academic achievement, which is based on (1) class standing, (2) grade-point average (i.e., GPA of 3.0 or higher out of a possible 4.0), or (3) honor society membership.

Or will receive a bachelor's degree with Superior Academic Achievement.

Or one full year of graduate-level education in a field of study related to law enforcement (e.g., criminal justice, homeland security, justice studies, law enforcement, courts and judicial systems, forensic technology, forensic psychology, or corrections and rehabilitation) from an accredited college or university; OR A Combination of Experience and Education: This will be calculated using your resume and official or unofficial transcripts submitted with your application.

Note: If you have previous or current law enforcement or military law enforcement experience, you may qualify at the GL-9 and or GS-11 grade level.

Please refer to the BPA GL-9
- 11 announcement.

Other Requirements Citizenship : You must be a U.S.

Citizen to apply for this position.

Residency : You must have had primary U.S.

residency (includes protectorates as declared under international law) for at least three of the last five years.

Age Restriction : In accordance with Public Law 100-238, this position is covered under law enforcement retirement provisions.

Candidates must be referred for selection to the Border Patrol Agent position before reaching their 40th birthday in accordance with Department of Homeland Security Directive 251-03.

The age restriction may not apply if you are currently serving or have previously served in a federal civilian law enforcement (non-military) position covered by Title 5 U.S.C.

8336(c) or Title 5 U.S.C.

8412(d).

Veterans' Preference : You may also be eligible for an excepted service Veterans Recruitment Appointment (VRA).

The age restriction does not apply if you are Veterans' Preference eligible.

Formal Training : After you are hired, you will be detailed to the U.S.

Border Patrol Academy in Artesia, New Mexico, for approximately six (6) months of intensive instruction in immigration and nationality laws, law enforcement and USBP-specific operations, driver training, physical techniques, firearms, and other courses.

Border Patrol work requires the ability to speak and read Spanish, as well as English.

Border Patrol Agents will be provided training to become proficient with the Spanish language at the Academy.

How to Apply: Click the Apply button on this site.

You will be linked to the CBP Talent Network registration page.

For Position of Interest, select Border Patrol Agent, then complete the pre-screening questions.

You'll then receive a link(s) to the BPA Job Opening Announcements (JOAs) on USAJOBS, the federal government's official employment site, to complete your application.

Be certain to review ALL details of the job opportunity announcement and follow all instructions in the application process, including items (resume, transcripts, etc.) to submit.

You will be evaluated based on your resume, supporting documents, and the BPA Entrance Exam .

If you have questions about the application process, contact a recruiter through the U.S.

Border Patrol page: /s/usbp .

As a subscriber to the CBP Talent Network, you'll receive monthly emails with information about webinars, career expos, and future opportunities with CBP.

In this role, you will report to the Site Services Supervisor and will work closely with the Avantor's Lab and Production Services team of over 1,500 on- and off-site expert personnel - and our customers - to perform customized, mission-based lab work and research protocols that help return time back to science.

Hourly Rate: $27 - $28.50

Schedule: Monday - Friday, 7 am - 3:30 pm or 4 pm

Location: San Carlos, CA

Benefits:

• Health and Wellness: Medical, Dental, Vision and Wellness programs (eligible for medical coverage on day 1)
• Time Off: Paid Time Off (PTO), and Company paid holidays,
• Financial Well Being: Spending Accounts: Flexible Spending Account (FSA), Health Savings Accounts (HSA), commuter benefits, 401(k), tuition assistance, employee stock purchase plan discount,
• Added Protection Coverage: To include critical illness, hospital indemnity, accident, legal, identity theft protection, pet, auto and home insurance,
• Recognition: Celebrate your peers and earn points to redeem on gifts and products.

What we're looking for:

Education: High school diploma or GED is required.

Experience: 2+ years' customer service, inventory replenishment, or material handling experience is required.

Collaboration Tool: Microsoft Office suite.

Qualifications:

• Valid driver's license needed to fulfill the duties of the role
• Reliable form of transportation
• Will be traveling to customer sites for cross training
• Conform to all company and customer requirements for background checks, health, and safety issues required.
• Strong communication skills required.
• A high level of customer service skills, with the ability to display a professional can-do attitude, is required.
• Must be able to lift up to 50lbs required.
• 1-2 years of experience in a laboratory environment or familiarity with lab processes and procedures preferred
• Proficient in Microsoft Office and comfortable using computers
• Knowledge of SAP, Oracle, Power BI, and other inventory management systems preferred
• Previous experience in a GMP-regulated facility strongly desired
• Strong communication skills

How you will thrive and create an impact:

Avantor's Lab and Production Services team is a crucial part of the Avantor Services group serving over 500 customers in biopharma, pharmaceutical, educational, industrial, and high-tech industries with customizable, flexible solutions and end-to-end laboratory operations support.

In this role you will:

• Collect, clean, and returnlaboratory glassware; ensure timely turnaround of dirty glassware from labs.
• Conduct weekly laboratory safety auditsand document findings.
• Establish and manageconsumable stocking locations to ensure consistent availability.
• Oversee daily inventoryof lab consumables; restock and organize as necessary.
• Utilize barcode scanning systemsto place and track product orders.
• Receive, unpack, and organizeincoming supplies; dispose of packaging materials appropriately.
• Place procurement orderson behalf of customers using Avantor and Kenvue platforms.
• Monitor and manage inventory metricsincluding inventory turns, overhead, and customer expenditures.
• Perform scheduled deep cleaningand de-trashing of laboratory spaces.
• Clean around equipmentand monitor/remove biohazard waste in compliance with safety protocols.
• Maintain accurate recordsof daily, weekly, and monthly verifications in both physical and digital logbooks.
• Execute multiple cleaning protocolsas outlined in client-specific SOPs, varying in complexity.
• Ensure the availability of critical parts to avoid any disruptions in laboratory or manufacturing operations.
• Chemically inactivate equipmentcontaining residual product prior to maintenance or disposal.
• Operate specialized cleaning equipmentas required for sanitization tasks.

Disclaimer:
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer.

Why Avantor?

Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science.

The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor.

We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today!

EEO Statement:

We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

For more information about equal employment opportunity protections, please view the Know Your Rights poster.

3rd Party Non-Solicitation Policy:

By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation.

Our Crew Members create a warm and friendly shopping experience in our stores. We answer questions, offer suggestions, and ensure our customers know they are welcomed and cared for. We entertain customers and make grocery shopping an exciting adventure.

Some responsibilities may include:

• Working on teams to accomplish goals
• Operating the cash register in a fun and efficient manner
• Bagging groceries with care
• Stocking shelves
• Creating signage to inform and delight customers
• Helping customers find their favorite products

You'll learn a lot. You're not stuck doing one task here. Each Crew Member contributes to creating a WOW customer experience by participating in all aspects of the job.

If you have experience in art including penmanship, working with chalk, and large signage, that's a plus.

If you have a passion for people and a fervor for food, we'd love to meet you. We can teach you the rest.

Stores have the greatest need for people that can work evenings and weekends.

Trader Joe's is an equal-opportunity employer and is committed to hiring a diverse Crew.

• Thrive in a collaborative environment
• Want to hone your leadership skills
• Learn how a successful brand delivers
• Be part of an amazing growth company
• And have fun at work

• Work in teams and get to know the Crew.
• Improve the quality of store life.
• Coach others to be their best.
• Model behavior that supports our values.

• Operating the cash register in a fun and efficient manner,
• Bagging groceries with care.
• Stocking shelves and receiving load.
• Making the store a welcome place for customers and Crew.

• 3+ years of recent retail, restaurant or hospitality experience
• 2+ years of recent experience at the management or supervisory level
• A high school degree or equivalent
  
• A history of developing individuals and teams through empowerment and integrity

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 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 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.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, statistics, or related field; or equivalent experience
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

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

#LI-HYBRID

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 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers 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.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  
  
  

Relocation Statement:

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

#LI-SA1

#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 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 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.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, machine learning, statistics, or related field
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

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

#LI-HYBRID

#LI-SM4

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:

• 
  
• The Associate Director, Evidence Generation Compliance is responsible for ensuring that all evidence generating activities (e.g., observational research, clinical outcomes studies, RWE initiatives, investigator sponsored research, and collaborative research programs) are executed in accordance with internal policies, regulatory requirements, and industry best practices. This role safeguards audit readiness, strengthens governance, and drives consistency and rigor in processes and documentation across the Evidence Generation function.
  
• The ideal candidate is a detail oriented compliance leader experienced in medical affairs operations, governance, and documentation management, with the ability to collaborate across cross functional teams and influence best practices globally.
  

• 
  
• Ensure all Evidence Generation documentation is consistently audit ready, complete, current, and compliant with internal standards and external regulatory expectations.
  
• Conduct periodic quality checks and systems-of-record reviews across programs and studies to proactively identify gaps and areas for improvement.
  
• Partner with functional leads and study owners to support robust, accurate, and timely documentation practices.
  

• 
  
• Reinforce adherence to Standard Operating Procedures (SOPs), Work Instructions, and controlled documents across Evidence Generation and Medical Affairs.
  
• Lead the update, revision, and creation of SOPs as needed, ensuring alignment with evolving regulatory guidelines and industry best practices.
  
• Develop and deliver targeted training programs to strengthen compliance awareness and procedural consistency across teams.
  

• 
  
• Manage and continuously improve Evidence Generation governance documentation, ensuring version control, accessibility, and alignment with organizational quality frameworks.
  
• Support governance body operations (e.g., review committees, oversight boards) by preparing materials, maintaining records, and ensuring compliant decision making processes.
  
• Ensure all proposals, concepts, and new study requests are reviewed by the appropriate governance body in a timely and compliant manner, including triage of submissions, coordination of review schedules, and communication of outcomes to stakeholders.
  
• Implement and monitor compliance KPIs, metrics, and dashboards to ensure ongoing transparency and operational excellence.
  

• 
  
• Partner with Legal, Compliance, Regulatory, and Quality Assurance to ensure holistic alignment and timely issue resolution.
  
• Provide compliance guidance during planning and execution of evidence generation activities, including protocol development, contracting, data sharing, authorship, and publication processes.
  

• 
  
• Identify opportunities to streamline workflows, reduce procedural burden, and enhance operational efficiency while maintaining compliance rigor.
  
• Support change management efforts, including communication planning and stakeholder alignment, for new or updated processes.
  

An elite US law firm is seeking a high-performing Technology Transactions Associate to join its small, collegial, and tight-knit team in Palo Alto (Los Angeles applicants will also be considered). This opportunity offers exposure to sophisticated technology and software transactions, working closely with highly regarded partners and a premium client base in the tech and growth company sectors.

The group is widely recognized for advising emerging and growth-stage technology companies, venture-backed startups, and leading venture capital firms, including clients in gaming, social media, and AI, on corporate transactions, financings, and commercial agreements.

You will:

• Advise on corporate and technology transactions for clients across software, AI, gaming, and social media industries
• Draft, negotiate, and review commercial agreements, licensing arrangements, and technology contracts
• Work directly with partners and key clients in high-growth and venture-backed companies

The ideal candidate will have:

• California Bar admission
• 3+ years of experience in corporate/technology transactions
• Experience working with technology or software clients, including in-house exposure (a bonus)
• Strong academic credentials and attention to detail
• Interest in working in a small, collegial team environment

Compensation & Benefits

• Competitive market-aligned salary and bonuses
• Full benefits package

For a confidential discussion and further details, please contact Carla Luna directly at .

About Sonder Consultants:

Sonder Consultants is a global legal search firm specialising in associate and partner placements at the world’s leading law firms. With offices in London, New York, Sydney, Hong Kong, and Los Angeles, we provide strategic career advice and access to opportunities often not publicly advertised.

A leading international law firm with a top-tier Technology Transactions practice is seeking a mid-level associate for its premier team in Palo Alto.

The group advises many of the most innovative technology companies and market-leading enterprises on complex commercial transactions involving cutting-edge technologies.

Representative work includes:

• AI counseling and deployment arrangements
• Software, SaaS, and content licensing agreements
• Cloud hosting and application hosting transactions
• IP development, joint development, and technology transfer agreements
• Strategic partnering and distribution arrangements
• Transactional privacy, regulatory, and emerging AI compliance counseling

The firm offers top-of-market compensation ($260,000–$365,000), lean deal teams, significant drafting responsibility, and a collaborative, talent-development-focused culture known for practical, business-oriented advice.

Ideal Candidate Profile:

• Class Year 2021–2023
• 3–5 years of technology transactions experience
• Strong drafting and negotiation skills
• Experience with AI, SaaS, cloud, and IP licensing matters preferred
• Excellent academics
• Currently at an AmLaw 50 firm preferred

If this aligns with your background and interests, please feel free to reach out for a confidential conversation.