Jobs in Sausalito

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 is seeking an Engineering Manager to lead our User Understanding team. This team builds and maintains the data and backend systems that drive user modeling, personalization and recommendations-impacting hundreds of millions of users every day. You'll set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences. We're looking for a leader with deep infrastructure expertise, a passion for personalization and ML-driven experience, and a strong record of delivering ML-enabling platforms at scale.

What you will do:

• 
  
• Lead and mentor a team of experienced machine learning engineers in developing advanced user understanding models and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
  
• Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features.
  
• Drive experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics.
  
• Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
  
• Provide thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field.
  
• Foster a collaborative, inclusive, and high-performing team culture.
  
  

What we're looking for:

• 
  
• 6+ years of industry experience in applied machine learning or closely related roles, with experience developing large-scale machine learning for recommendation or ads systems.
  
• 2+ years of people management experience leading engineering teams.
  
• Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems.
  
• Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions.
  

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-AK7
#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.

Understanding and improving how we optimize ads through the ads delivery funnel to Pinners is fundamental to Pinterest's long-term success. We're looking for a data scientist to join our team in pushing the boundaries in ads optimization. You will be a key member of an organization of talented data scientists innovating on ads delivery.

What you'll do:

• 
  
• Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future.
  
• Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis.
  
• Leadership: Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists.
  
• Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds.
  
• Continuous Learning: Stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation.
  

What we're looking for:

• 
  
• 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
  
• Direct involvement in the evaluation, refinement, and deployment of ads optimization models for ads delivery systems.
  
• Proficiency in leveraging large datasets for performance analysis and gap identification.
  
• Proven ability to apply scientific methods to solve real-world problems on web-scale data
  
• Expertise in SQL and Python
  
• Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
  
• Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
  
• Experience leading key technical projects and substantially influencing the scope and output of others
  
• Experience in digital ad delivery stacks preferred
  

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 times per week and therefore needs to be in a commutable distance from one of the following offices: San Francisco, CA or Seattle, WA.

Relocation Statement:

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

#LI-NM4

#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.

We're seeking an Engineering Manager to build and lead the next generation of Pinterest's big data storage platform. You'll grow and guide a team working with cutting-edge open source technologies-especially Apache Iceberg-operating at exabyte scale to power the data that helps Pinners discover and do what they love.

What you'll do:

• 
  
• Own the technical vision and long-term roadmap of Pinterest's exabyte data lake storage
  
• Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations
  
• Drive engagement and collaboration with open source communities, such as Iceberg, Spark, and Flink, to effectively address our scaling challenges
  
• Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability
  

What we're looking for:

• 
  
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
  
• 2+ years of management experience, or 3+ years tech lead experience in a 5+ person team
  
• 8+ years of relevant industry experience in leading the design of large scale & production distributed systems.
  
• Deep knowledge with building distributed systems.
  
• Strong cross-functional collaborator and communicator.
  
• Strong people development skills.
  
  

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.
  

Relocation Statement:

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

#LI-HYBRID

#LI-AH2

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.

We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest's revenue growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand revenue growth and behavior, and define metrics to grow and sustain our advertiser base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Analytics and others.

The role is within the Marketing team and would be supporting business marketing efforts focused on driving revenue growth for Pinterest.

What you'll do:

• 
  
• Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, organic social, email, in person events, webinars, elearning platform etc.
  
• Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models-to optimize marketing strategies and enhance audience targeting.
  
• Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels.
  
• Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks.
  
• Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives
  
• Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
  
• Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.
  

What we're looking for:

• 
  
• 3+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
  
• Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
  
• Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
  
• Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
  
• Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries.
  
• Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
  
• Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely.
  
• Experience leading key technical projects.
  
• Strong Experimentation background.
  
• Statistical rigor. Experience with causal inference projects.
  

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.
  

Relocation Statement:

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

#LI-REMOTE

#LI-NM4

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.

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:

Job Title: Underwriter - Miscellaneous Medical & Life Sciences

Division: Specialty Risks

Reports To: As per Beazley's organisation chart

Key Relationships: Brokers, Underwriters, Claims staff, Coverholders, external Clients and Suppliers

Job Summary:

To underwrite a Miscellaneous Medical & Life Sciences account within the Healthcare Team and provide counsel and advice on Underwriting related issues. Provide technical expertise in this business area and maintain and improve market reputation of the Beazley brand.

Key Responsibilities:

Underwriting

• Develop and underwrite a profitable portfolio of Miscellaneous Medical & Life Sciences business as part of the Healthcare team.
• Structure tailor-made solutions by considering the team underwriting parameters and underwriting policy and using underwriting knowledge and experience to win new business and retain existing.
• Monitor premiums, costs and claims ratios per contract and take corrective measures if necessary to ensure long term profitability at account level.
• Evaluate appropriate risk premium by considering the risk costs, reinsurance cessions, capital exposure as well as the underwriting and general administration costs to ensure profitability, using rating models as applicable.
• Monitor peer underwriters in their daily work to ensure profitability as well as efficient and cost effective administration of the French and continental European Miscellaneous Medical & Life Sciences account.
• Monitor and supervise assistants in their daily work to ensure compliance with underwriting philosophy and policy and consistency within the team and Specialty Risks.
• Comply with Beazley's underwriting control standards for business written through Lloyd's, or Beazley's internal MGAs.
• Develop a good working relationship with the claims managers on this class of business.

Client Management

• Advise, assist and service clients on insurance and risk matters to ensure clients' satisfaction.
• Foster positive relationships with clients to get a mutual understanding of both their and Beazley's needs.
• Maintenance of good business relationships with brokers.
• Maintain awareness of overall Beazley product range and take advantages of opportunities to introduce other Beazley products to clients.

General

• Leverage networking opportunities within the business to develop standardised underwriting policy and best practice within Beazley.
• Develop best practice and disseminate business and class knowledge within the Healthcare and Specialty Risks team.
• Work with peers within Healthcare and Specialty Risks to maximise business opportunities and profitability within the department. This will include but not be limited to sharing market information, marketing sources and cross selling opportunities.
• Share and gather knowledge within the Beazley Group to ensure dissemination of best practice and maximise business opportunities and profitability across the Group.
• Production of presentations and marketing literature as required.
• Production of business plans/research documents for the Miscellaneous Medical & Life Sciences account as required.

It is important that within all your interactions both internally and externally you adhere to Beazley's core values - Being Bold, Striving for Better, and Doing the Right Thing - as they contribute to an internal environment of teamwork and promote a positive brand image and experience to our external customers. We also expect Beazley employees to:

• Comply with Beazley procedures, policies and regulations including the code of conduct
• Undertake training on Beazley policies and procedures as delivered by your line manager, the Culture & People or assurance teams (compliance, risk, internal audit) either directly, via e-learning or the learning management system
• Display business ethics that uphold the interests of all our customers
• Ensure all interactions with customers are focused on delivering a fair outcome, including having the right products for their needs
• Comply with any specific responsibilities necessary for your role as outlined by your line manager, the Culture & People or assurance teams (compliance, risk, internal audit) and ensure you keep up to date with developments in these areas. This may include, amongst others, Beazley's underwriting control standards, Beazley's claims control standards, other Beazley standards and customer relationship management
• Carry out additional responsibilities as individually notified, either through your objectives or through the learning management system. These may include membership of any Beazley committees or working groups

Personal Specification:

Skills and Abilities

• Proficient underwriting skills
• Accurate and numerate
• Computer skills - good working knowledge of MS Office, advanced Excel skills
• Strong analytical skills with attention to detail
• Able to communicate effectively with others, both verbally and in writing
• Ability to manage time, meet deadlines and prioritise
• Motivational skills

Knowledge and Experience

• General commercial and financial knowledge
• Experience in insurance industry
• Experience of Healthcare underwriting
• Thorough knowledge of underwriting policy, philosophy and practice
• Advanced knowledge of underwriting processes and systems
• Client service experience

Aptitude and Disposition

• Result focused, self-motivated, flexible and enthusiastic
• Professional approach to interact successfully with managers/colleagues/external suppliers
• Team worker as well as able to work on own initiative
• Customer focused, with a strong ethic of service and fairness to the customer

Competencies

• Achievement drive
• Analytical thinking
• Strategic thinking
• Service focus
• Team working
• Forward thinking
• Conceptual thinking

Essential Criteria

• Minimum 5 years of underwriting experience in healthcare-related insurance segments such as Miscellaneous Medical, Allied Healthcare, or Healthcare Professional Liability, including risk assessment, pricing, and portfolio management.
• Advanced analytical and financial skills with the ability to interpret underwriting guidelines, perform exposure evaluations, and make data-driven decisions.
• High proficiency in Microsoft Excel (including pivot tables, VLOOKUP, and complex formulas) and strong communication skills for negotiating terms and presenting underwriting decisions to brokers, clients, and internal stakeholders.

The rewards:

• The opportunity to connect and build long-lasting professional relationships while advancing your career with a growing, dynamic organization
• Attractive base compensation and discretionary performance related annual bonus
• Competitively priced medical, dental and vision insurance
• Company paid life, and short- and long-term disability insurance
• 401(k) plan with 5% company match and immediate vesting
• 22 days annual PTO (full-time, prorated for 1st calendar year of employment), plus paid public holidays with the ability to flex the religious bank holidays to suit your religious beliefs. Additional PTO purchase is available up to a maximum of 5 days per calendar year.
• Up to $700 reimbursement towards home office setup
• Free in-office lunch, travel reimbursement for travel to office, and monthly lifestyle allowance in support of your wellbeing
• The opportunity to save for, and purchase, shares of Beazley stock
• Six months fully paid parental leave, regardless of how you come to parenthood
• Company paid sabbatical up to 12 weeks after 10 years of continued service
• Support with exam/study leave and fees for relevant qualifications related to furthering education
• Up to 2.5 days matched paid leave for volunteering at a charity of your choice and 5 days paid leave to provide or arrange care for a dependent with a long term care need annually
• Smart working policy and flexible working culture, trusting our employees to do what works best for them, their role and the needs of the business

Salary for this role will be tailored to the successful individual's location and experience. The expected compensation range for this position is $90k - 145k per year plus profit related pay and discretionary annual bonus. You will be able to discuss your salary expectations should you be contacted about this role.

Don't meet all the requirements? At Beazley we're committed to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every requirement and qualification in the job specification, we encourage you to apply anyway. You might just be the right candidate for this, or one of our other roles.

Open date: October 6, 2025

Next review date: Monday, Mar 23, 2026 at 11:59pm (Pacific Time)

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

Final date: Monday, Oct 5, 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.

UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute.

UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to undergraduate, professional, and continuing education in Biology, Chemistry, and Physics to teach one or more in-person and/or online courses each year for our Sciences, Mathematics, Biotechnology, and Health Sciences departments.

Courses are offered in-person and online.

• 
  
• Classroom instruction takes place in the San Francisco Bay Area (California, U.S.A.), including Alameda County and San Francisco County.
  
• Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom).
  

Most classroom and synchronous live online lecture courses are offered in the evening and on the weekend (U.S.A. Pacific Time).

We are seeking qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following course subjects. For a complete list of courses and course descriptions, please refer to the departmental links below.

Biology

• 
  
• General Biology I lecture and lab (cell structure + function, prokaryotes, eukaryotes, metabolism, molecular genetics, classification, animal development, form + function)
  
• Introductory Biology With Lab
  
• General Biology II lecture and lab (fungi + plant development, population genetics, ecology, conservation, origin of life, evolution, classification)
  
• Biochemistry
  
• Biology of Aging
  
• Biology of Human Cancer
  
• Biostatistics
  
• Cell Biology
  
• Current Topics in the Biosciences
  
• Developmental Biology
  
• Endocrinology
  
• Epidemiology
  
• Genetics
  
• Genomic or Personalized Medicine
  
• Hematology
  
• Human Anatomy/Neuroanatomy lecture and lab
  
• Human Nutrition
  
• Immunology
  
• Kinesiology (Introduction to Kinesiology, Mechanical Kinesiology)
  
• Medical Terminology
  
• Microbiology/Infectious Disease (Microbiology lab, Medical Microbiology lecture, Principles of Infectious Disease lecture)
  
• Molecular Biology
  
• Neuroscience
  
• Parasitology
  
• Pathophysiology
  
• Pharmacology
  
• Physiology (Lecture/Lab: general human, Lecture Only: mammalian + systemic, cardiac + respiratory, exercise)
  
• Stem Cell Biology
  
• Toxicology
  
• Virology
  

Chemistry

• 
  
• Chemistry for the Health Sciences
  
• General/Inorganic Chemistry I lecture and lab
  
• General/Inorganic Chemistry II lecture and lab
  
• Introduction to Chemistry
  
• Introduction to Organic Chemistry
  
• Organic Chemistry I lecture and lab
  
• Organic Chemistry II lecture and lab
  
• Quantitative Analysis: Applications in Clinical Chemistry
  

Physics

• 
  
• Concepts of Physics
  
• General Physics I lecture and lab
  
• General Physics II lecture and lab
  

Other Science Subjects or Courses

(please specify on your Instructor Information Form)

Teaching Experience

• 
  
• Classroom Teaching Experience
  
• Synchronous Online Teaching Experience (online lectures via Zoom)
  
• Asynchronous Online Teaching Experience (via learning management system)
  

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Classroom (In-Person); Synchronous Live Online (Zoom); or Asynchronous Online (Start Anytime).

• 
  
• For synchronous instruction (classroom or live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction.
  
• For asynchronous instruction (start anytime online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director.
  
• For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; grading student assignments and posting final student grades to the instructor portal in a timely manner; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Instructor Portal, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines as published on the departmental Instructional Resource Site; and responding to other requests from the Program Director or Department Director in a timely manner.
  

Biology Course Descriptions: academic-areas/sciences-mathematics-and-biotechnology/?nav=1#!?tab=courses&programStream=Biology

Chemistry and Physics Course Descriptions: academic-areas/sciences-mathematics-and-biotechnology/?nav=2#!?tab=courses&programStream=Chemistry%20and%20Physics

Clinical Laboratory Science Course Descriptions: academic-areas/sciences-and-biotechnology/#!?programStream=Clinical%20Laboratory%20Science

• 
  
• Doctorate degree or equivalent international degree.
  

• 
  
• 
  U.S.A. Residency and U.S.A. Work Authorization: All work must be performed in the United States, whether in person or online. For applicants who are not US citizens or permanent residents, a valid US work authorization is required for the duration of employment. Applicants should not expect the department to sponsor a work visa on their behalf.
  

• 
  
• Doctorate degree or equivalent international degree in course subject or related area.
  
• 3 or more years of professional or undergraduate-level teaching experience (as the primary instructor) in the course subject.
  
• Experience teaching at a U.S. college/university institution.
  
• Experience teaching and/or developing academic content for online courses.
  
• Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
  
• Ability to convey conceptual and complex ideas and information.
  
• Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
• Effective verbal/written communication and presentation skills (English).
  
• Effective organizational skills with attention to detail.
  
• Ability to collaborate with colleagues and work within a team environment.
  
• Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
  

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

  
  

• Cover Letter

  
  

• Instructor Information Form - Download the Instructor Information Form PDF to your computer desktop. Open the document using the Adobe Acrobat application. It is not recommended to use an internet PDF viewer or Google Docs to complete this form. Complete all six (6) pages, save, and upload the PDF form to your AP Recruit application.

  
  

• 
  
• References are requested from candidates at the interviewing stage, and references are only contacted for finalists.
  

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: October 6, 2025

Next review date: Monday, Mar 23, 2026 at 11:59pm (Pacific Time)

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

Final date: Monday, Oct 5, 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.

UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute.

UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to undergraduate, professional, and continuing education in Psychology, Public Health, Ethics, and Diversity to teach one or more online courses each year for our Health Sciences department.

All courses are offered online, and we seek qualified applicants who are available to teach in both synchronous and asynchronous online formats.

• 
  
• Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom).
  
• Most synchronous live online lecture courses are offered in the evening and on the weekend (U.S.A. Pacific Time).
  

We seek qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following course subjects . For program and course descriptions, please refer to the departmental link below.

Psychology

• 
  
• Abnormal Psychology
  
• Adolescent Psychology
  
• Biological Psychology
  
• Coaching/Consulting Psychology
  
• Clinical Interventions in Psychology
  
• Clinical Psychopharmacology
  
• Cognitive Psychology
  
• Developmental Psychology Across the Lifespan
  
• Emerging Adulthood
  
• General Psychology
  
• Health Psychology
  
• Industrial and Organizational Psychology
  
• Neuropsychology
  
• Nutritional Psychology
  
• Positive Psychology
  
• Psychology of Communication
  
• Psychology of Personality
  
• Research Methods in Psychology
  
• Social Psychology
  
• Other Psychology course subjects (please specify in your teaching statement)
  

Public Health, Sociology, Ethics, & Diversity

• 
  
• Bioethics
  
• Epidemiology
  
• Global Health
  
• Healthcare Advocacy and the Role of Cultural Diversity
  
• Introduction to Public Health
  
• Sociology of Health, Illness, and Medicine
  
• Other Public Health, Sociology, Ethics, & Diversity course subjects (please specify in your teaching statement)
  

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Synchronous Live Online (Zoom); or Asynchronous Online (Fixed Date or Start Anytime).

• 
  
• For synchronous instruction (live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction.
  
• For asynchronous instruction (fixed date or start anytime online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director.
  
• For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; grading student assignments and posting final student grades to the instructor portal in a timely manner; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Instructor Portal, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines as published on the departmental Instructional Resource Site; and responding to other requests from the Program Director or Department Director in a timely manner.
  

Post-Baccalaureate Program in Psychology: public/category/ ?method=load&certificateId=17037&selectedProgramAreaId=11462&selectedProgramStreamId=15564

Behavioral Health Courses: academic-areas/behavioral-health-sciences/#!?tab=courses

• 
  
• Doctorate degree or equivalent international degree.
  

• 
  
• 
  U.S.A. Residency and U.S.A. Work Authorization: All work must be performed in the United States, whether in person or online. For applicants who are not US citizens or permanent residents, a valid US work authorization is required for the duration of employment. Applicants should not expect the department to sponsor a work visa on their behalf.
  

• 
  
• 3 or more years of professional industry and/or academic work experience in the course subject.
  
• 3 or more years of undergraduate-level teaching experience (as the primary instructor) in the course subject.
  
• Experience teaching at a U.S. college/university institution.
  
• Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
  
• Experience teaching online and/or developing academic content for online courses.
  
• Ability to convey conceptual and complex ideas and information.
  
• Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
• Effective verbal/written communication and presentation skills (English).
  
• Effective organizational skills with attention to detail.
  
• Ability to collaborate with colleagues and work within a team environment.
  
• Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
  

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

  
  

• Statement of Teaching - Please discuss prior teaching experience, teaching approach, and other/future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• Examples of Recent Syllabi - Please combine all documents into a single PDF and upload them.

  
  

• Examples of Recent Teaching Evaluations - Please combine all documents into a single PDF and upload them.

  
  

• 
  
• References are requested from candidates at the interviewing stage, and references are only contacted for finalists.
  

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.

Pinterest helps more than 450 million people discover new ideas to help design their life. Our users come to Pinterest to explore ideas and run more than 6 billion search queries every month. Many of these queries represent exploratory search intent and are broad, which means that the search system should be able to deeply understand this intent, and then help people explore content, personalize results, harness visual signals effectively, and show the most engaging content up front. In addition, the team also owns query refinements and modules that help Pinners narrow their search intent from broad exploratory queries, to help them narrow their results down. All of this means that Pinterest search presents a unique challenge quite unlike other search systems and the opportunity to innovate on a product that only Pinterest can build.

We are looking for an exceptional technical leader and engineering manager to help lead the search backend team that spans across Palo Alto and Seattle.

What you will do:

• 
  
• The candidate will be responsible for major areas of the search engine for more than 450 million monthly active Pinterest users, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. In addition, the candidate will work on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.
  
• Work closely with the other engineering teams in Pinterest to bring superior search experience to our users, such as Search Product, Infrastructure, research and content signals.
  
• Deeply understand the Pinterest search product, and drive the vision for the team.
  
• Provide visibility for senior leadership into the team's global impact.
  
• Partner with stakeholders to expand impact across the company, including product management, data scientists and design.
  
• Mentor and grow managers, leaders and engineers on the team.
  
• Build a culture of excellence and expertise.
  

What we are looking for:

• 
  
• Experience leading and working on a large-scale production search, recommendation or ads systems that are based on state-of-the-art machine learning and big data technology.
  
• Applied machine learning experience is strongly preferred. Experience in related fields such as recommendation systems, natural language processing and computer vision is a bonus.
  
• Ability to drive the roadmap and directions of scalable production quality systems end-to-end.
  
• A knack for product and impact on users of a consumer product.
  
• 3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience.
  
• Bachelors degree in computer science or related technical field, or equivalent experience
  

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.
  

Relocation Statement:

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

#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:

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:

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.

We're looking for a Staff Data Scientist to lead the science behind how advertisers understand the impact of their investment on Pinterest through first and third party measurement products. You'll push the boundaries of ads measurement, advancing our approaches to causal inference and incrementality and partner closely with Product and Engineering, as well as represent Pinterest science externally with customers and partners.

What you'll do:

• 
  
• Own the development of measurement methodologies that help advertisers understand and optimize the value of their Pinterest campaigns across the full ads delivery funnel.
  
• Design, implement, and validate advanced causal inference methods for incrementality and lift measurement.
  
• Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, and under-power.
  
• Influence Ads Product & Engineering to define the measurement roadmap and integrate science solutions into products and platforms.
  
• Collaborate with internal and external measurement partners (e.g., clean rooms, conversion APIs, MMM partners, MTA vendors) to design and evaluate joint solutions.
  
• Define and own key success metrics for 1P measurement products; build tools and frameworks that enable teams and advertisers to make better decisions.
  
• Provide technical leadership and mentorship to other data scientists and analysts, elevating measurement rigor and impact across the org.
  
• Clearly communicate complex concepts and tradeoffs to executives, cross-functional stakeholders, and external customers.
  

What we're looking for:

• 
  
• 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
  
• 5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA).
  
• Proficiency in SQL and expertise in at least one scripting language (ideally Python or R).
  
• Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value.
  
• Demonstrated leadership of key technical projects and meaningful influence on the work of other data scientists, particularly junior and senior peers.
  
• Excellent communication skills and experience leading initiatives across multiple product areas and partnering with leadership and cross-functional teams.
  
• Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience.
  

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 times per week and therefore needs to be in a commutable distance from one of the following offices San Francisco, Palo Alto, or Seattle.
  
  

Relocation Statement:

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

#LI-NM4

#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:

We’re seeking an experienced Lead Residential AV Technician to support and lead high-end home automation and home theater projects throughout the San Francisco Bay Area. This role is ideal for a hands-on leader who excels in luxury environments and delivers exceptional system performance and client experience.

Key Responsibilities

• Lead luxury residential AV and home automation installations from rough-in through final commissioning
• Install, configure, and troubleshoot home theaters, distributed audio/video, lighting control, networking, and control systems
• Oversee on-site installation quality, jobsite coordination, and adherence to project standards
• Perform rack builds, structured wiring, equipment termination, device configuration, and system testing
• Diagnose and resolve complex technical issues during installation and service calls
• Mentor and guide junior technicians while coordinating with project managers, designers, and clients
• Deliver polished client walkthroughs and system handoffs

Qualifications

• Proven experience in luxury residential AV and home automation
• Strong hands-on installation and troubleshooting skills across AV and networking systems
• Ability to read plans, execute scopes of work, and lead field operations
• Excellent communication, leadership, and customer-facing skills
• Professional demeanor suited for high-end residential environments

Compensation & Benefits

• Competitive compensation based on experience
• Health, Dental, Vision Insurance
• Paid Time Off (PTO) and paid holidays
• Opportunity to work on premier luxury residential projects throughout the Bay Area

Are you looking for a career opportunity in the aviation industry? Here’s your opportunity to have a great career with a world-class airline company

Why Join Us?

• One of the leading airlines in the Philippines
• Get a chance to enjoy travel perks for you and your family
• A collaborative work culture and environment

Who Are We Looking For?

• College graduate of any four (4) year course
• With at least 10 years of work experience in airport handling aspects
• Must have knowledge and skills in Passenger, Baggage & Ramp Handling, Station & Load Control functions
• Must have knowledge, if not experience, with Cargo handling

What’s The Role All About?

• Oversees the operations of the Station (Passenger, Baggage, Ramp, Cargo Handling, Lounge Services and Ground Handling) and provides leadership & direction in goal setting and efforts to achieve high level of standards.
• Ensures that both PAL flights comprising departing, arriving and transit passengers to and from the Station are handled in accordance with the agreed service levels.
• Provides briefing to top management on the status of operations and daily situation of flights especially during abnormal conditions.

Do you love developing and nurturing great relationships?

As an N2S Customer Success Specialist, you will be responsible for managing and growing our Fortune 500 accounts, understanding their staffing requirements, and ensuring the successful placement of qualified candidates. You will play a crucial role in building strong client relationships and contributing to the growth and success of N2S

Location: Remote from Bay Area, SFC, CA

Qualifications:

• Must have 3-5 years of overall experience in the Staffing & Recruiting Industry with hands on recruiting experience and exposure of client communication preferably with LifeSciences or IT MSP clients.
• Strong understanding of working with VMS and MSP based accounts.
• Any experience working with a Hybrid/Offshore delivery model will be a plus.
• Proven experience in staffing, recruiting & client communication, supporting client/ MSP programs from a supplier side.
• Strong interpersonal and communication skills.
• Excellent negotiation and problem-solving abilities.
• Excellent reputation and relationship-building skills.
• Ability to work in a fast-paced, target-driven environment.
• Must be a self driven and highly motivated individual.
• Proficiency in using applicant tracking systems (ATS) and other relevant software.

Key Responsibilities:

• Be the single point of contact for our Fortune 500 clients
• Build long-term client partnerships to understand their challenges and provide solution.
• Maximize market share with a client to make us their trusted staffing supplier.
• Qualify new job orders and work with the delivery lead for better coverage and support.
• Present candidates to Hiring Managers and follow up for feedback .
• Coordinate with Client to schedule candidate interviews and onboarding.
• Coordinate with recruiting team including screening, orientation, and placement of candidates.
• Use CRM/ATS (Job Diva) to manage activities.
• Constant communication with clients to build rapport and to obtain critical information including, job descriptions, referrals, and business leads.

Additional Requirements:

• Must be open to travel across the country, especially locally, and support clients from their offices.
• Availability to work outside regular office hours, if needed.

Benefits of working at N2S:

• Uncapped Commissions
• 100% Contribution to Health/Dental/Vision

Now Hiring: Data Entry Clerk (3-Week Project) – San Francisco, CA

A well-established non-profit organization in San Francisco is seeking a Data Entry Clerk for a 3-week onsite project starting ASAP.

Highlights of the job

• Location: San Francisco, CA
• Schedule: 100% onsite in San Francisco off Post Street (location is not near BART, so local candidates in San Francisco proper are strongly preferred)
• Pay Rate: $28/hour
• Duration: 3 weeks

Key Responsibilities:

• Accurately enter and update data in internal databases and systems
• Maintain organized digital records and documentation
• Assist with data cleanup and verification tasks
• Support administrative functions related to data management

Requirements:

• Strong computer skills with fast and accurate typing ability
• Intermediate proficiency in Microsoft Excel, Word, and Access
• High attention to detail and ability to work independently
• Must be able to work onsite in San Francisco

Start Date: ASAP

If you’re detail-oriented and available for a short-term project, we’d love to hear from you!

StrivePath is a fast-growing, premium college advisory firm serving high-achieving students nationwide. We combine structured long-term planning with admissions-level insight to guide families from early high school through applications.

We’re hiring a Senior Admissions Advisor with prior admissions committee experience at a nationally recognized or highly selective institution.

This is a part-time, remote role (evening availability preferred), with potential to expand over time.

⸻

What You’ll Do

• Lead initial strategy consultations with prospective families.

• Conduct brief follow-up clarification calls before contract decisions.

• Provide final “adcom-style” reviews of senior applications.

• Serve as a senior escalation and quality resource when needed.

You will not manage scheduling, contracts, or administrative follow-up — operations handles that.

⸻

Who You Are

• Former or current admissions committee member (file reader experience required).

• Experience evaluating applications at a competitive, holistic-review institution is required.

• Comfortable discussing holistic admissions strategy with discerning families.

• Clear, confident communicator with strong executive presence.

• Student-centered, ethical, and values-aligned.

• Interested in meaningful, flexible part-time advisory work.

Compensation is competitive and commensurate with experience.

To apply, please send your resume and a brief note outlining:

• Your admissions experience

• Your current availability

• Why this role appeals to you

Evening shift (4pm-12:30am) OR Overnight shift (12am-8:30am)

• Experience in a warehouse or logistics role (preferably with handling electronics equipment because of degree of care needed rather than just boxes in warehouses)

• Experience working with an inventory tracking software or internal communications software such as Slack

• Ability to lift heavy, assemble furniture, and handle fragile electronics

• Valid drivers license and clean driving record • Ability to work on weekends

Job Responsibilities:

• Driving a company-leased van to off-site locations

• Organizing inventory at office/warehouse location

• Moving electronics & non-electronic equipment (up to 80 lbs, to be lifted by 2 people)

• Assembling and moving furniture and set decorations

● You will develop and maintain vehicle test plans, supporting on and off site ensuring comprehensive coverage of new site enablement features.

● You will manage test scheduling and coordination, working with vehicle operations to maximise testing efficiency.

● You will perform first-pass triage of simulation and vehicle test results, identifying issues and categorising them for engineering review and solution development.

● You will document test findings and identify opportunities to streamline processes and create reports that help autonomy engineers quickly understand test outcomes.

Qualifications

● Ability and willingness to travel for test support

● Familiarity with scripting languages (Python preferred) for automation and data analysis

● Strong organisational skills with experience managing schedules or coordinating technical workflows

● Experience with simulation environments or game engines

● Exposure to robotics, automotive, or autonomous systems

● Familiarity with version control (Git) and issue tracking systems (JIRA or similar)

● Experience with test engineering, QA, or validation processes

● Understanding of basic vehicle dynamics or motion planning concepts

About the Opportunity

A top-performing luxury real estate team in Marin County is seeking a highly organized, proactive Director of Operations / Executive Assistant to serve as the operational backbone of the business.

This is a high-trust, high-impact role for someone who thrives in a fast-moving environment and enjoys bringing structure, organization, and execution to a growing business.

The position blends operations, real estate coordination, client support, marketing execution, and property preparation, making it ideal for someone who enjoys both working behind the scenes and being out in the field when needed.

Location Requirement

Southern Marin County

This role requires someone local to Southern Marin County due to frequent property visits and in-person operational needs.

Ideal candidates live within 20–25 minutes of Mill Valley.

Preferred areas include:

• Mill Valley
• Tiburon
• Sausalito
• Corte Madera
• Larkspur
• Greenbrae
• San Rafael

Candidates commuting from Napa, Sonoma, East Bay, or South San Francisco are unlikely to be a fit due to travel time requirements.

Key Responsibilities

Operations & Executive Support

• Serve as the primary operational partner to a luxury real estate advisor
• Manage calendars, communications, and daily priorities
• Maintain systems and workflows that keep the business running smoothly
• Coordinate contracts, listing agreements, disclosures, and transaction documentation
• Support scheduling of showings, broker tours, and open houses
• Communicate professionally with clients, vendors, and partners

Listing & Marketing Coordination

• Assist with preparation and launch of luxury property listings
• Organize photography, marketing materials, and listing websites
• Review listing photos and marketing content for quality and presentation
• Assist with newsletters, marketing campaigns, and listing materials
• Support MLS entry and listing updates

Property Preparation & Field Support

• Visit properties to prepare for showings and tours
• Ensure listings are presentation-ready
• Meet vendors, photographers, stagers, and service providers
• Handle last-minute operational needs related to listings
• Assist with broker tours and occasional property showings

Administrative & Transaction Support

• Prepare contracts and listing documentation
• Send DocuSign agreements and maintain transaction records
• Track listing timelines and transaction milestones
• Maintain organized digital and physical files

Ideal Candidate Profile

The ideal candidate is:

Highly organized and detail-oriented

Tech-savvy and comfortable with modern tools and AI

Comfortable balancing desk work and field responsibilities

Polished and professional when interacting with luxury clients

Able to anticipate needs and take ownership without constant direction

Passionate about real estate and supporting a high-performing team

Preferred Experience

• Experience supporting a real estate professional, broker, or small business owner
• California real estate license preferred (or willingness to obtain)
• Familiarity with MLS systems, transaction coordination, and listing processes
• Experience with tools such as DocuSign, Canva, CRM systems, Trello, or similar
• Strong organizational and communication skills

Work Style & Schedule

This role blends office, remote, and field work.

Typical mix:

• 60–70% administrative / operational work
• 30–40% field support (property prep, vendors, listings)

Some occasional weekend availability may be required for open houses or urgent client needs, typically for short periods.

Compensation

• Competitive base salary
• Performance incentives tied to team production
• 401(k) plan available
• Opportunity to grow alongside a high-performing luxury real estate business

To Apply

If you are highly organized, proactive, and excited to support a top-performing real estate team, please apply on linked in and send your resume to:

Carey Lewis