data scientist

data engineer

business analyst

data analyst

data engineer ii

data product manager

Ramp

<div>
 
 About Ramp
 
 
 
 Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $100B in annualized spend flows in and out of 50,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
 
 
 The problems are high-stakes, data-dense, and unforgiving.
 
 
 We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you&rsquo;ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
 
 
 The median Ramp customer saves 5% and grows revenue 16% in their first year &ndash; far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
 
 
 If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Full stack development, building models to consume, transform, and expose data to stakeholders and production systems
 </li>
 <li>
 Drive a culture of experimental design, testing agenda, and best practices
 </li>
 <li>
 Contribute to the culture of Ramp&rsquo;s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
 </li>
 <li>
 Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success
 </li>
 <li>
 Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action
 
 
 </li>
 </ul>
 
 What You Need
 
 
 
 <ul>
 <li>
 Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
 </li>
 <li>
 Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
 </li>
 <li>
 Track record of shipping high quality products and features at scale
 </li>
 <li>
 Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
 
 
 </li>
 </ul>
 
 Nice-to-Haves
 
 
 
 <ul>
 <li>
 Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
 </li>
 <li>
 Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
 </li>
 <li>
 Experience within the payments and financial technology space
 </li>
 <li>
 Familiarity with B2B enterprise sales cycle metrics and processes
 
 
 </li>
 </ul>
 
 About Our Teams
 
 
 
 <ul>
 <li>
 Product Data | Ramp&rsquo;s Product Data team is responsible for delivering data products and insights that shape Ramp&rsquo;s product direction and unlock business value. The Product Analytics team is also responsible for building out the platform through which new products are launched, instrumented, tested, and QA&rsquo;d. The team embeds deeply as a partner to engineering, product, and design.
 </li>
 <li>
 Risk &amp; Capital Markets Data | Ramp&rsquo;s Risk Data team is responsible for how risk is evaluated, and building the risk infrastructure to scale to millions of businesses in the United States. Areas include risk operations and underwriting, limit setting and pricing across financial products as well as fraud detection, regulatory reporting, and capital market relationships.
 </li>
 <li>
 Growth Data | Ramp's Growth Data team ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale. Current areas of focus include: Web &amp; Martech, Outbound Automation, Customer Data Platform, Self-Service Product, GTM Strategic Finance, and Business Systems.
 
 
 </li>
 </ul>
 
 Benefits (for U.S.-based Full-time Employees)
 
 
 
 <ul>
 <li>
 100% medical, dental &amp; vision insurance coverage for you
 </li>
 <ul>
 <li>
 Partially covered for your dependents
 </li>
 <li>
 One Medical annual membership
 </li>
 </ul>
 <li>
 401k (including employer match on contributions made while employed by Ramp)
 </li>
 <li>
 Flexible PTO
 </li>
 <li>
 Fertility HRA (up to $10,000 per year)
 </li>
 <li>
 Parental Leave
 </li>
 <li>
 Unlimited AI token usage
 </li>
 <li>
 Pet insurance
 </li>
 <li>
 Centralized home-office equipment ordering for all employees
 </li>
 <li>
 Health and Wellness stipend
 </li>
 <li>
 In-office perks: lunch, snacks, drinks, and more
 </li>
 <li>
 Budget for intra-office travel
 </li>
 <li>
 Relocation support to NYC or SF (as needed)
 
 
 </li>
 </ul>
 
 Referral Instructions
 
 
 
 If you are being referred for the role, please contact that person to apply on your behalf.
 
 
 
 Other Notices
 
 
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 
 Beware of recruiting scams: Ramp will only contact you through official @
 
 
 Ramp.com
 
 
 email addresses and will never ask for payment or sensitive personal information during the hiring process.
 
 
 
 Ramp Applicant Privacy Notice
</div>

Data Scientist, All Levels

Uber

<div>Uber Advertising is looking for a data-driven strategist to join our Strategy &amp; Planning team. In this role, you will develop scalable data systems, define data standards, and build tools that power decision-making across the advertising organization. You will partner with cross-functional teams - from sales and operations to product and finance - to ensure our monthly and quarterly business reviews are grounded in accurate, accessible, and actionable data, and to deliver the insights and infrastructure that support the long-term growth and evolution of Uber's advertising business.
 
 
This role is ideal for someone who thrives at the intersection of analytics, business strategy, and data engineering, and who can translate complex datasets into impactful business insights and scalable solutions.
- What the Candidate Will Do - 
 
 
<ul><li>Design and Build Data Products: Create and maintain dashboards, reports, and analytical tools that support monthly and quarterly business reviews (MBRs/QBRs) as well as other critical operational workflows.
</li><li>Drive Data Governance &amp; Standards: Establish and enforce data definitions, KPIs, and governance practices to ensure accuracy, consistency, and trust across the ad org.
</li><li>Scale Data Infrastructure: Partner with engineering and analytics teams to design systems that enable efficient data ingestion, transformation, and accessibility for the business.
</li><li>Enhance Data Fluency: Develop frameworks, documentation, and training to increase data literacy across the advertising organization.
</li><li>Enable Strategic Planning: Collaborate with strategy leaders to align data insights with business goals, investment decisions, and go-to-market strategies.
</li><li>Automate and Streamline: Identify and execute on opportunities to automate reporting and analysis workflows, freeing teams to focus on strategic decision-making.
</li></ul>- Basic Qualifications - 
 
 
<ul><li>Bachelor's degree in Business, Data Science, Statistics, Economics, Computer Science, or a related field (or equivalent work experience).
</li><li>1+ years of experience in analytics, data science, data product management, or business strategy, ideally in a high-growth technology or advertising environment.
</li><li>Proficiency in SQL and at least one data visualization tool (Looker, Tableau, Power BI, etc.).
</li><li>Strong understanding of business KPIs and ability to translate business needs into technical requirements.
</li></ul>- Preferred Qualifications - 
 
 
<ul><li>2+ years of employment experience in consulting, strategy, operations, or analytics within high-growth or matrixed environments
</li><li>Proficiency in Python or similar programming languages
</li><li>Experience in advertising technology, media, or marketplace businesses.
</li><li>Track record of building scalable, self-service data systems for non-technical stakeholders.
</li><li>Excellent communication skills and the ability to influence cross-functional partners.
</li><li>Strong project management skills with the ability to manage multiple priorities.
</li>Experience with data modeling, ETL processes, and cloud-based data warehouses (e.g., BigQuery, Snowflake). 
<li>
</li></ul> 
 
 
 
For Chicago, IL-based roles: The base salary range for this role is USD$95,500 per year - USD$106,250 per year. For New York, NY-based roles: The base salary range for this role is USD$106,000 per year - USD$118,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$106,000 per year - USD$118,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Strategy & Planning Analyst, Uber Advertising

<div>
 Uber Advertising is looking for a data-driven strategist to join our Strategy &amp; Planning team. In this role, you will develop scalable data systems, define data standards, and build tools that power decision-making across the advertising organization. You will partner with cross-functional teams - from sales and operations to product and finance - to ensure our monthly and quarterly business reviews are grounded in accurate, accessible, and actionable data, and to deliver the insights and infrastructure that support the long-term growth and evolution of Uber's advertising business.
 
 
 This role is ideal for someone who thrives at the intersection of analytics, business strategy, and data engineering, and who can translate complex datasets into impactful business insights and scalable solutions.
 
 
 ---- What the Candidate Will Do ----
 
 
 <ul>
 <li>
 Design and Build Data Products: Create and maintain dashboards, reports, and analytical tools that support monthly and quarterly business reviews (MBRs/QBRs) as well as other critical operational workflows.
 </li>
 <li>
 Drive Data Governance &amp; Standards: Establish and enforce data definitions, KPIs, and governance practices to ensure accuracy, consistency, and trust across the ad org.
 </li>
 <li>
 Scale Data Infrastructure: Partner with engineering and analytics teams to design systems that enable efficient data ingestion, transformation, and accessibility for the business.
 </li>
 <li>
 Enhance Data Fluency: Develop frameworks, documentation, and training to increase data literacy across the advertising organization.
 </li>
 <li>
 Enable Strategic Planning: Collaborate with strategy leaders to align data insights with business goals, investment decisions, and go-to-market strategies.
 </li>
 <li>
 Automate and Streamline: Identify and execute on opportunities to automate reporting and analysis workflows, freeing teams to focus on strategic decision-making.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Business, Data Science, Statistics, Economics, Computer Science, or a related field (or equivalent work experience).
 </li>
 <li>
 1+ years of experience in analytics, data science, data product management, or business strategy, ideally in a high-growth technology or advertising environment.
 </li>
 <li>
 Proficiency in SQL and at least one data visualization tool (Looker, Tableau, Power BI, etc.).
 </li>
 <li>
 Strong understanding of business KPIs and ability to translate business needs into technical requirements.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 2+ years of employment experience in consulting, strategy, operations, or analytics within high-growth or matrixed environments
 </li>
 <li>
 Proficiency in Python or similar programming languages
 </li>
 <li>
 Experience in advertising technology, media, or marketplace businesses.
 </li>
 <li>
 Track record of building scalable, self-service data systems for non-technical stakeholders.
 </li>
 <li>
 Excellent communication skills and the ability to influence cross-functional partners.
 </li>
 <li>
 Strong project management skills with the ability to manage multiple priorities.
 </li>
 <li>
 Experience with data modeling, ETL processes, and cloud-based data warehouses (e.g., BigQuery, Snowflake).
 
 
 </li>
 </ul>
 For Chicago, IL-based roles: The base salary range for this role is USD$95,500 per year - USD$106,250 per year. For New York, NY-based roles: The base salary range for this role is USD$106,000 per year - USD$118,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$106,000 per year - USD$118,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits., For Chicago, IL-based roles: The base salary range for this role is USD$95,500 per year - USD$106,250 per year. For New York, NY-based roles: The base salary range for this role is USD$106,000 per year - USD$118,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$106,000 per year - USD$118,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
</div>

JPMorganChase

<div>JOB DESCRIPTION 
Build trust in data that powers business-critical decisions and advanced analytics. Drive clear documentation, strong data quality, and effective protection standards across key applications. Partner across product, analytics, and technology teams to enable faster innovation while reducing data risk.
As an Data Owner Vice President within the Center for Economic Intelligence, you will support the firm's agenda of enabling faster business innovation through data by ensuring that data is clearly documented, of good quality, and well-protected.
In this role, you will be responsible for all data that is created, provisioned, or consumed in one or more business applications, and which may support business objectives, advanced analytics, operations, and reporting functions. You will serve as a subject matter expert to help define and classify data critical to the business area.
You will also collaborate with technology and business partners to ensure that data is delivered in a manner consistent with the quality and safety requirements of the business. In support of these functions, you will be responsible for executing processes and procedures that identify, monitor, and mitigate data risks throughout the data life cycle in compliance with Firmwide policies and standards. 
Job responsibilities:<ul><li>
Support the design, development and delivery of data products aligned to strategic business objectives and analytics use cases.</li><li>
Work with key partners across products and analytics functions to identify and document critical data scope, meaning, and purpose, ensuring proper metadata classification.</li><li>
Serve as a subject matter expert with stakeholders to drive a strong understanding of the data and its use across lines of business and functions.</li><li>
Document requirements for data content and quality, coordinating with technology and business partners to deliver on those requirements.</li><li>
Develop processes and procedures within the product management lifecycle to identify, monitor, and mitigate data risks, including risks related to data protection, retention and destruction, storage, use, and quality.</li><li>
Partner with technology and business resources to resolve data issues in a timely and consistent manner.</li></ul> 
Required Qualifications, capabilities, and skills:<ul><li>
Bachelor&rsquo;s degree with 7+ years of related experience</li><li>
Technical knowledge of data management and governance, big data platforms, data architecture, and modern data tools (e.g., Snowflake, Databricks, SQL, AWS, Teradata)</li><li>
Knowledge of ETL principles, data structures, and cloud-based technologies (e.g., S3, Glue, Athena)</li><li>
Proficiency in data query and analytical programming languages, as well as enterprise-grade languages (e.g., Python), data modeling (ERWin), and engineering tools</li><li>
Experience with risk and control requirements</li><li>
Excellent interpersonal and communication skills with strong business acumen and strategic thinking</li></ul> 
Preferred qualifications:<ul><li>
Master&rsquo;s degree</li><li>
Product lifecycle or area product management experience</li><li>
Experience architecting and optimizing transactional and analytical data systems.</li><li>
Knowledge of data serialization formats (e.g., JSON, Avro,), big-data storage formats (e.g., Parquet, Iceberg), data processing methodologies (batch, micro-batching, stream), and data modeling techniques (Dimensional, Data Vault, Kimball, Inmon)</li></ul> 
Relocation is not offered/supported for this role. 

ABOUT US 
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans 
 
 
ABOUT THE TEAM 
 
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Data Owner Lead

American Express

<div>Team Description
It begins with a Card Member using an American Express Card at one of our millions of Merchants around the world &ndash; the rest is up to us! The GMNS Product team is the heart of the American Express Enterprise, powering billions of transactions through the global payments processing network that we develop and lead. We work across almost every American Express business unit as well as with external partners, providers, and key industry collaborators. We are known to be intellectually curious and problem solvers as we take on the most imperative initiatives facing the payments industry today, such as securing online transactions and enabling faster, more convenient ways to pay. 
 
The GMNS Capability Delivery team within GMNS Product modernizes our Network and Acquirer payments ecosystems, building the rails that enable innovative payment solutions. A role on this team will challenge you to broaden your skills and industry savvy in a collaborative, diverse and inclusive team environment!</div>
 <div>Required Skills/Qualifications:
<ul><li>Qualification: Masters in computer science, Engineering, Information Management or a related (quantitative) field, and 2+ years of relevant experience or bachelor&rsquo;s degree with 4+ years of relevant experience.
</li><li>Product management experience : At least 2+ years&rsquo; experience in large scale data as a service products or digital platforms using Agile methodology.
 
</li><li>Critical thinking: Ability to understand product architecture and connect the dots between business objective and technical solution to make informed business decisions.
</li><li>Problem solving: Demonstrable analytical aptitude and ability to analyze data to come up with meaningful insights and make informed business decisions. Knowledge of SQL / Hive and other data querying and manipulation techniques is desired.
</li><li>Effective communicator and influencer: Excellent verbal and written communication and negotiation skills combined with an ability to interact effectively with diverse audience across Business and Technical teams.
</li><li>Intellectual curiosity : Good business acumen to convey key benefits to customers and successfully launch new solutions. Ability to work with white space to design and bring to life solutions solving complex challenges.
 
</li><li>Entrepreneurial spirit: Self-starter who can combine exceptional problem-resolution and critical thinking skills and be willing to adapt to new technologies / tools.
</li></ul>Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.</div>
 <div>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you&rsquo;ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.</div>
 <div>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
<ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>6% Company Match on retirement savings plan
</li><li>Free financial coaching and financial well-being support
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul>For a full list of Team Amex benefits, visit out Colleague Benefits Site .
<div>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. 
</div><div></div> 
<div>We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. 
</div><div></div> 
<div>US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.</div></div><div></div>

Mgr-Digital Product Mgmt

Tata Harper Skincare

<div>
 
 
 
 Job Summary
 
 
 
 
 We are seeking a Global Brand Marketing Coordinator to support the Global Marketing area.
 
 
 In this capacity the right candidate will help support the brand strategy, product innovation direction and go-to-market strategy. Additionally, the scope will include execution tasks tied to the Product Development operational cycle.
 
 
 
 
 
 This role is ideal for a beauty industry professional who thrives at the intersection of product strategy, brand storytelling, and cross-functional leadership that is consumer insight driven and has deep category knowledge. S/he will collaborate closely with the Sr Manager of Global Brand Marketing to assist in the development and execution of product and brand strategies, campaigns, and new product launches.
 
 
 
 
 
 Candidates should be enthusiastic about what we do, energetic, highly organized, great problem solvers, and initiative-takers. This role will report to the Director of Brand &amp; Product Marketing and is a hybrid in-office role, based in New York City, with 2 days of remote work per week.
 
 
 
 
 
 
 Principal Accountabilities
 
 
 
 
 
 Brand strategy development:
 
 
 <ul>
 <li>
 Partner with the Sr Manager on brand strategy, content planning, and campaign development&mdash;in particular as it relates to gathering data and information supporting the creation of campaign decks and toolkits to guide cross-functional execution - across Sales, Brand.com including Email and Paid Media, Comms &amp; Social, Education, Creative and Visual Merchandising.
 </li>
 <li>
 Support the gathering of data necessary to the translation of consumer insights, trend analysis, and category intelligence that will be translated into product and campaign strategies that drive brand differentiation, innovation, and growth.
 </li>
 </ul>
 
 
 Product Strategy:
 
 
 <ul>
 <li>
 Support the execution of the Marketing calendar and detailed growth strategy for each product
 </li>
 <li>
 New Product Development Direction Setting &ndash; contribute to the development of briefs by researching product trends, customer trends, lay bases of competitor product and product concept analysis.
 </li>
 <li>
 Cross-functional Collaboration for Product Strategy &ndash; support the Sr Manager in the execution of deliverables aimed at briefing supporting functions (Creative and Visual Merchandising, PR, social media, Sales and Education teams, etc)
 </li>
 </ul>
 
 
 Product Development:
 
 
 <ul>
 <li>
 Support the end-to-end product development process in collaboration with R&amp;D, Product Development, Regulatory, and Creative&mdash;in particular, gather necessary data to formalize the creation of formula and packaging briefs
 </li>
 <li>
 Formula &amp; Clinical Testing: support the work that helps determining texture direction, key ingredients, and fragrance in collaboration with R&amp;D. Support the design clinical studies objectives and desired clinical claims.
 </li>
 <li>
 Primary &amp; Secondary Packaging: support the process to determine the packaging direction and execution of detailed specifications.
 </li>
 <li>
 Packaging design: support the design direction and the briefing of creative packaging and packaging development teams
 </li>
 </ul>
 
 
 Product Development Program Operation:
 
 
 <ul>
 <li>
 Production: support Global Sr Manager in the collaboration with the SCM-related departments to prepare for production meetings.
 </li>
 <li>
 Support the AP-SCM cross-functional communication process with different departments, including the production planning team, packaging material purchasing team, QC team, manufacturing team, packaging team, and raw material purchasing team.
 </li>
 <li>
 Carry out tasks supporting the pre-production and line testing for mass production
 </li>
 <li>
 Support the tasks linked to the operation of internal AP systems such as SAP, NPD, CPC, and Aplan. Note: as some of these programs are not available in English, partial support from AP will be provided.
 </li>
 </ul>
 
 
 
 
 
 
 Key Experience and Skills
 
 
 
 
 
 
 
 
 
 
 Qualification and Experience
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree or equivalent in Marketing, Business, Communications, or related subjects.
 </li>
 <li>
 1-2 years of experience in marketing or brand management, with a focus on beauty, wellness, skincare, luxury, lifestyle or consumer products.
 </li>
 </ul>
 
 
 
 
 Skill Sets
 
 
 
 
 <ul>
 <li>
 Proficient in Microsoft Office applications.
 </li>
 <li>
 Good analytical and project management acumen
 </li>
 <li>
 Proficient written skills and ability to articulate conceptual ideas.
 </li>
 <li>
 Ability to problem solve and manage up effectively and in a timely manner.
 </li>
 <li>
 Excellent ability to multitask
 </li>
 <li>
 Good communication and interpersonal skills.
 </li>
 </ul>
 
 
 
 
 Personal Attributes
 
 
 
 
 <ul>
 <li>
 Passion for innovation, consumer behavior, and emerging market and consumer trends.
 </li>
 <li>
 Interest in beauty, wellness, lifestyle, luxury, and sustainability.
 </li>
 <li>
 Meticulous, self-driven, team-player, collaborative, and able to adapt to changes.
 </li>
 </ul>
 
 
 
 
 
 Tata Harper and AMOREPACIFIC, US, INC is an equal opportunity and Affirmative Action employer. We actively seek to maintain a diverse workforce, and AMOREPACIFIC US, INC, therefore, recruits qualified applicants regardless of race, color, religion, gender, national origin, age, disability, or Vietnam veteran status.
 
 Page 2 of 2
 
 
 
</div>

Global Brand Marketing Coordinator

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>8 years of experience with Generative AI (Large Language Models, Multi-Modal Models) and Agentic Technologies (e.g., MCP, ADK, A2A, etc.).</li>
<li>2 years of experience in a people management or team leadership role.</li>
<li>1 year of experience building developer tools that improve developer velocity, code quality and code health (e.g., compilers, automated releases, code design and testing, test automation frameworks).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience in building developer-facing products for integrated development environments (IDEs like VSCode) or Command Line.</li>
<li>Experience with Large Language Models for code (e.g., Gemini, GPT-4, Claude), modern cloud infrastructure, and industry-standard developer tool frameworks.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way. 
 
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

As a Software Engineering Manager in BigQuery&rsquo;s Analytics AI organization, you will build the intelligent backbone and experiences for the next generation of data processing. You will build agents, skills, and tools that assist the entire data lifecycle; furthermore, you will be a key driver in building the surfaces and tools that make data development intuitive, fast, and seamless. You will collaborate with product managers, engineers, scientists, and designers to create unified, AI-accelerated agents and developer experiences that push the boundaries of how humans and AI collaborate on code and data.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud&rsquo;s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
 
 
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. 
 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Design and develop next-generation agentic solutions and data developer experiences such as data ingestion, data pipelines, data science, feature extraction, model training, and more.</li>
<li>Develop and maintain the technical roadmap of the team&rsquo;s charter.</li>
<li>Collaborate cross-functionally with Product, Data Scientists, Applied Scientists, and UX Designers and cross-teams to define the roadmap for AI-native data journeys.</li>
<li>Iterate and enhance agentic frameworks by contributing to sophisticated tool-use, memory, context retrieval, multi-step orchestration, and evaluation (evals) to ensure accuracy and reliability of orchestration at petabyte scale.</li>
<li>Lead the team on defining and executing on goal and long-term strategy.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineering Manager, BigQuery, Agentic AI

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Software Engineering Manager, BigQuery, Agentic AI