Ml Data Associate Amazon Salary Jobs in Usa

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• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

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• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

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

Final date: Saturday, Mar 28, 2026 at 11:59pm (Pacific Time)

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

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).

*Expertise in programming in C/C++, MATLAB, Bash.

*Expertise in databases, data infrastructure, data governance.

*Expertise in high performance computing using SLURM or LSF.

*Experience with PyTorch, JAX, or Tensorflow.

*Experience with NVIDIA CUDA and related OpenMP programming.

*Experience with cloud services (AWS, GCP, Azure, etc.).

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).

*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

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

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 3 required (contact information only)

Help contact:

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

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

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

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

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

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

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

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

**This role requires this candidate to be on-site in Evansville, IN. (4 days a week on-site)**

We are seeking a Director of Amazon Sales to lead and scale our client's Amazon business across both Vendor Central (1P) and Seller Central (3P) platforms. This role will own the full Amazon P&L, drive operational excellence, and partner cross-functionally to achieve aggressive growth and profitability targets.

The Director of Amazon Sales will be responsible for developing and executing the overall Amazon strategy, managing vendor relationships, optimizing merchandising and advertising performance, and ensuring operational excellence across the marketplace ecosystem. This individual will serve as the primary liaison between internal teams, Amazon stakeholders, and external partners while driving revenue growth and brand visibility.

Key Responsibilities

Strategic Leadership & Business Ownership

• Own the overall Amazon channel strategy across Vendor Central and Seller Central to maximize revenue, market share, and profitability
• Develop and implement long-term growth strategies across Amazon 1P and 3P channels
• Lead joint business planning and vendor negotiations with Amazon
• Manage agency and external partner relationships to ensure alignment with business goals and KPIs
• Serve as the primary liaison between internal stakeholders and Amazon vendor or selling partner teams

P&L Management & Sales Growth

• Own and manage the full Amazon P&L, including forecasting, budgeting, and profitability analysis
• Develop and execute sales strategies to exceed revenue, margin, and market share goals
• Manage trade spend, promotional investments, and cost negotiations
• Monitor KPIs including:
• Traffic
• Conversion rates
• POS performance
• Advertising efficiency (ACoS)
• Inventory health

Operations & Inventory Management

• Oversee operational aspects of the Amazon business including:
• Inventory planning
• Catalog management
• Account health
• Customer experience
• Partner with supply chain teams to maintain high in-stock rates and accurate demand forecasting
• Collaborate with IT and finance to streamline operational workflows and automate processes
• Drive integration between Vendor Central and internal systems to reduce manual workload and improve efficiency

Merchandising & Marketing

• Manage and optimize product listings, SEO, and PDP content
• Oversee Amazon advertising strategy, including PPC campaigns and Amazon Ads
• Lead go-to-market strategies for new product launches and seasonal campaigns
• Manage promotional calendars and key retail events such as Prime Day
• Ensure brand consistency and compliance across all Amazon content and assets

Reporting & Performance Analytics

• Develop and enhance dashboards and reporting tools to track Amazon performance
• Analyze sales trends, customer behavior, and operational metrics to inform strategy
• Monitor marketplace performance including:
• Traffic
• Conversion rate
• ACoS
• Inventory health
• Leverage Amazon analytics and third-party tools to identify risks and growth opportunities

Cross-Functional Leadership

• Partner with product, marketing, licensing, creative, supply chain, and finance teams to align business initiatives
• Coordinate with Amazon contacts and internal teams to resolve catalog, variation, and compliance issues
• Lead and mentor internal team members or account managers supporting the Amazon channel
• Drive alignment across departments to execute Amazon growth initiatives effectively

Qualifications

• Bachelor's degree in Business, Marketing, or a related field
• 7+ years of experience managing Amazon Seller Central and/or Vendor Central
• Experience managing large product catalogs, comfortable handling upwards of 1,000 SKUs
• Proven track record of scaling Amazon businesses and managing marketplace P&L
• Experience working with Amazon advertising, SEO, and marketplace optimization
• Strong analytical skills with advanced Excel proficiency (pivot tables, data analysis, etc.)
• Experience with marketplace tools such as Helium 10, JS Cobalt, or similar platforms
• Strong leadership, communication, and negotiation skills
• Ability to thrive in a fast-paced, growth-oriented environment

Benefits

• Generous PTO package
• 401K with dollar-for-dollar company match
• Major medical coverage
• Modern facility

About Us

HireIO is a Silicon Valley–based executive search and HR consulting firm specializing in AI, robotics, semiconductor, and high-growth technology companies.

We partner with top startups, Big Tech companies, and global enterprises to place world-class talent across engineering, product, and leadership roles.

Our clients include fast-scaling, venture-backed companies and industry leaders shaping the future of technology.

About the Role

We are looking for a motivated Junior Technical Recruiter / Associate Consultant to join our growing team.

This role is ideal for someone early in their career who is passionate about technology, people, and business impact.

You will work closely with senior consultants to identify, engage, and manage high-caliber candidates across software engineering, AI/ML, robotics, product, and other technical functions.

This role offers:

• A fast learning curve
• Exposure to top-tier tech companies
• A clear path toward becoming a full-cycle recruiter or client-facing consultant

Key Responsibilities

Talent Sourcing & Research

• Identify and engage top technical talent via LinkedIn, GitHub, professional communities, and internal databases
• Build and maintain talent pipelines for software, AI/ML, robotics, data, and product roles
• Conduct market mapping and competitor research

Candidate Engagement

• Conduct initial outreach and screening calls
• Assess candidate motivation, skills, and cultural fit
• Maintain strong relationships with candidates throughout the hiring process

Process & Coordination

• Support senior consultants in managing interview processes
• Track candidate status and maintain accurate CRM records
• Coordinate interviews, feedback collection, and offer processes

Market Intelligence

• Stay informed on trends in the tech labor market, compensation benchmarks, and hiring patterns
• Share insights with the team to refine search strategies

What We’re Looking For

Must-Have

• Bachelor’s degree or equivalent experience
• Strong communication skills in English (Chinese bilingual is a plus)
• High ownership mindset and strong work ethic
• Strong interest in technology, startups, or recruiting
• Ability to multitask in a fast-paced environment
• Detail-oriented and highly organized

Nice to Have

• Prior experience in recruiting, sales, customer-facing roles, or campus leadership
• Familiarity with LinkedIn Recruiter, ATS systems, or sourcing tools
• Basic understanding of software engineering or AI/ML concepts
• Experience working in a startup or high-growth environment

What You’ll Gain

• Direct exposure to top tech companies and founders
• Training in executive search methodologies
• Rapid career growth into full-cycle recruiting or business development roles
• Competitive base salary + performance-based bonus
• Collaborative, high-performance team environment

Why Join HireIO

• Work on cutting-edge roles in AI, robotics, and emerging technologies
• Visa sponsorship available for qualified candidates
• Structured training & mentorship from senior consultants
• Health benefits (Medical, Dental, Vision)
• 401(k) plan
• Paid time off & company holidays
• Opportunity to build a powerful network in Silicon Valley

Open date: February 25, 2026

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

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

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

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

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.

Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.

Key Responsibilities

*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Design, build, and maintain new software packages for efficient data processing.

*Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.

*General organization and management of software documentation.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.

*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.

*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.

These positions will be eligible for full benefits.

Lab:

Contract: ar-contract-2022/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field

*Demonstrated record of productivity and publications and/or scholarly contributions

*Strong biological background and understanding of molecular biology

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond)

*Expertise in programming in C++, Labview, MATLAB, Python

*Expertise in databases, data infrastructure, data governance

*Expertise in high performance computing using SLURM or LSF

*Experience with PyTorch, JAX, or Tensorflow

*Experience with NVIDIA CUDA and related OpenMP programming

*Experience with cloud services (AWS, GCP, Azure, etc)

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc

*Experience mentoring undergraduate/graduate students, and/or technicians.

*Experience with professional speaking engagements

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks

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

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position

  
  

• Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions

  
  

• 3 required (contact information only)

Help contact:

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

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

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

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

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

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

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

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

About Pinterest:

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

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

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

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

Pinterest is where people come for inspiration, not distraction - an active intent platform uniquely positioned at the intersection of search, social, and commerce. Our commitment to personalized discovery and actionable curation helps hundreds of millions around the globe turn inspiration into reality. Here, Personalization is essential to who we are and what we do.

We're looking for a passionate and strategic AI/ML Product Manager to drive the future of personalized experiences on Pinterest. As part of our Personalization team, you'll work across Engineering, Data Science, and Design to deliver industry-leading AI and ML solutions-helping users easily discover inspiration, curate what they love, and shop for what brings their ideas to life. You'll ship impactful products on high-traffic Pinterest surfaces, including Home, Search, and Related Pins, and play a key role in Pinterest's top strategic theme for the years ahead.

What you'll do:

• 
  
• Define, design, and launch thoughtful AI/ML-powered experiences that help users discover, curate, and shop ideas tailored to their unique taste.
  
• Partner cross-functionally with Engineering, Design, and Data Science to craft seamless and delightful experiences at the intersection of user experience, ML, and AI.
  
• Set product vision, influence strategy, write requirements, develop hypotheses, and establish success metrics for critical personalization initiatives.
  
• Identify and prioritize new opportunities to advance the relevance, impact, and sophistication of personalization across Pinterest's Curation portfolio.
  
• Autonomously navigate and resolve complex, ambiguous product challenges-and influence product strategy across multiple teams.
  

What we're looking for:

• 
  
• Track record in AI/ML products: Experience building and launching personalized experiences, ideally at scale, for consumer products (e-commerce a plus).
  
• Technical fluency: Strong understanding of AI/ML product development; ability to credibly partner with engineers and data scientists across the stack.
  
• Sharp communication: Comfortable presenting to executives and cross-functional audiences; excels at simplifying complex technical and product concepts.
  
• Strategic and customer-centric: Deep empathy for user needs, with an ability to turn rich data and insights into new opportunities and delightful features.
  
• Collaborative influencer: Ability to build trusted relationships with a variety of internal partners (including Advanced Technology, Growth, Trust & Safety, Monetization, and more) and align them to shared goals.
  
• Ownership mindset: Skilled at defining what success looks like, rallying teams, and guiding projects from ideation to successful launch.
  
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience.
  

Relocation Statement:

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

• 
  
• 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-REX

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:

IBM Consulting is seeking an accomplished Data & Analytics Associate Partner to accelerate our growth within the Industrial & Communications sectors. This executive role is responsible for shaping client vision, cultivating senior executive relationships, and developing data-driven solutions that enable clients to successfully navigate complex transformation programs.

You will bring together deep industry expertise and IBM’s portfolio of data, analytics, and AI capabilities to help organizations modernize their data ecosystems—migrating from legacy platforms to modern hybrid cloud architectures—while adopting next-generation analytics, GenAI, and agentic AI to strengthen decision-making and deliver measurable business and financial outcomes.

This role is ideal for a seasoned leader who integrates industry depth, consulting excellence, and technical thought leadership, has a strong understanding of competitive market dynamics, and consistently delivers high-impact transformation at scale.

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• Expand IBM’s Data & Analytics presence by identifying new market opportunities, developing differentiated solutions, and building a strong pipeline.

  
  

• Engage senior client executives to understand strategic priorities and shape data transformation roadmaps aligned to their business and financial goals.

  
  

• Lead end-to-end sales cycles, including solution definition, proposal leadership, financial structuring, and contract negotiation.

  
  

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• Advise C-suite leaders on strategies to their data estate modernization, advanced analytics, GenAI, and agentic AI to drive business performance.

  
  

• Architect integrated solutions that include:

  
  

• Migration from legacy data platforms to modern cloud-based architectures

  
  

• Data engineering and Information governance

  
  

• Business intelligence and advanced analytics

  
  

• GenAI-powered and agentic AI-driven automation and decisioning

  
  

• Lead complex transformation programs from discovery through delivery, ensuring measurable outcomes and client satisfaction.

  
  

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• Oversee multi-disciplinary delivery teams to ensure high-quality, consistent execution across all program phases.

  
  

• Manage engagement financials, including forecasting, margin performance, and overall portfolio profitability.

  
  

• Align right client technologies, industry expertise, and global delivery capabilities to maximize client value.

  
  

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• Recruit, mentor, and grow top-tier consultants, architects, and data specialists.

  
  

• Build and scale capabilities in data modernization, cloud data engineering, analytics, GenAI, and emerging agentic AI techniques.

  
  

• Contribute to practice strategy, offering development, and capability growth across the global Data & Analytics team.

  
  

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• Stay ahead of sector and technology trends, including cloud modernization, GenAI, agentic system design, regulatory changes, and evolving competitive dynamics.

  
  

• Represent IBM at industry conferences, client events, webinars, and executive roundtables.

  
  

• Create original thought leadership—articles, perspectives, point-of-views—that positions IBM as a leading advisor in data and AI-driven transformation.

  
  

This position can be preformed anywhere in the US.

"Leaders are expected to spend time with their teams and clients and therefore are generally expected to be in the workplace a minimum of three days a week, subject to business needs."

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• 12+ years of experience in consulting, data strategy, analytics, or digital transformation, with strong exposure to the Industrial or Communications sectors.

  
  

• Hands-on experience modernizing data ecosystems, including migrating from legacy on-premise platforms to modern cloud-native or hybrid cloud architectures.

  
  

• Deep expertise with major cloud platforms and their data/analytics stacks, including implementation experience with:

  
  

• AWS (e.g., Redshift, S3, Glue, EMR, Athena, Lake Formation, Bedrock, SageMaker)

  
  

• Microsoft Azure (e.g., Azure Data Lake, Synapse, Data Factory, Databricks on Azure, Fabric, Cognitive Services)

  
  

• Google Cloud Platform (e.g., BigQuery, Cloud Storage, Dataflow, Dataproc, Vertex AI)

  
  

• Experience designing and implementing end-to-end data pipelines, governance frameworks, and analytics solutions on one or more of these platforms.

  
  

• Strong understanding of GenAI architectures, LLM integration patterns, vector databases, retrieval-augmented generation (RAG), and emerging agentic AI frameworks.

  
  

• Proven track record of selling, structuring, and delivering large-scale data and AI transformation programs.

  
  

• Robust technical and functional expertise in data engineering, cloud data platforms, analytics, AI/ML, information management, and governance.

  
  

• Executive-level communication and presence, with demonstrated ability to influence senior stakeholders and convey complex topics through compelling narratives.

  
  

• Financial management experience, including engagement economics, forecasting, margin optimization, and portfolio profitability.

  
  

• Demonstrated leadership in building, scaling, and developing high-performing consulting and technical teams.

  
  

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

A postdoctoral fellowship is available at the Stanford University School of Medicine focused on implementing machine learning on population-scale clinical and biological data to characterize biological aging, resilience, and rejuvenation.

This is a unique opportunity to apply ML in unconventional and paradigm-shifting research with the potential to directly and broadly impact human lives. By joining our research group, you will:

• Have direct access to unparalleled population-scale clinical and biological data sources, along with the computational resources required to analyze these data and develop sophisticated machine learning models.
• Work in a highly collaborative environment with researchers from diverse backgrounds in medicine, biological sciences, and computer science.
• Collaborate with world-leading experts at Stanford University across the spectrum of AI, medicine, and biology.
• Be part of an environment strongly committed to translating research findings into actionable insights and scalable real-world products. We encourage (and financially support) our postdoctoral fellows to pursue extensive training in entrepreneurship and business management through Stanford’s Graduate School of Business. This position is well suited for candidates interested not only in state-of-the-art academic research, but also in exploring industrial and entrepreneurial career trajectories.

As a Stanford postdoctoral scholar, you will receive a highly competitive salary and comprehensive benefits, including best-in-class health and dental insurance. You will also receive priority consideration for Stanford housing and have access to Stanford’s broad range of professional development, learning, and growth resources.

Relevant background:

• MD or PhD, with research experience building and/or applying machine learning models during graduate studies, industry, or postdoctoral work.
• Excellent publication record.
• Interest in medicine and biology.
• Familiarity with modern AI/ML platforms and libraries (e.g., PyTorch and/or TensorFlow), traditional machine learning frameworks (e.g., scikit-learn), and statistical analysis in Python.

Preferred, but not required:

• Familiarity with electronic health record (EHR) data and cohort/outcome definition using EHRs.
• Experience in medicine and/or biology, particularly in aging-related research and omics-based analyses.
• Broad experience across diverse AI/ML concepts, including causal inference.
• Publications in leading AI/ML, biology, or medicine conferences and journals.

Keywords:

Machine Learning, Precision Medicine, Biology, Omics, Proteomics, metabolites, Electronic Health Records, Artificial Intelligence, Data Science, Deep Learning, Bioinformatics

How to Apply:

• To receive full consideration, please apply using the following google form:  can be directed to
• For more information please visit: 

We are seeking a dynamic and strategic Associate Category Manager to support the development and execution of the merchandising strategy for Really Good Stuff's Curriculum/STEM category. This role plays a key part in driving revenue and margin goals through effective category management, merchandising presentations, promotional planning, and inventory forecasting.

The Associate Category Manager will help bring the merchandising vision to life across , Amazon marketplaces, and print channels, partnering cross-functionally to ensure strong execution, optimized assortments, and compelling customer experiences.

Essential Duties and Responsibilities

Category Strategy & Execution

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• Support the development and execution of category strategies for assortment, pricing, promotions, and visual merchandising across eCommerce, retail, and marketplace channels.
  
• Assist in driving customer engagement and loyalty while helping attract new target customers through digital and print channels.
  

Competitive Analysis & Product Innovation

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• Maintain competitive intelligence and contribute actionable insights and recommendations.
  
• Support the onboarding of new and innovative products, assisting with testing, learnings, and ongoing refinement.
  

Data-Driven Merchandising

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• Leverage data and analytics to inform short- and long-term merchandising decisions.
  
• Monitor eCommerce site performance and recommend adjustments based on inventory levels, sales trends, and optimization opportunities.
  

Inventory & Supply Chain Collaboration

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• Partner with supply chain and replenishment teams to support inventory optimization, fulfillment performance, and financial outcomes.
  
• Assist in developing, testing, and refining channel-specific pricing and promotional strategies.
  

Visual Merchandising & Content

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• Support execution and optimization of visual merchandising and product content strategies.
  
• Identify opportunities to improve site conversion using performance metrics, industry best practices, and business goals.
  

Vendor & SKU Management

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• Assist in managing vendor relationships to support pricing, assortment, exclusives, rebates, coop dollars, and first-to-market initiatives.
  
• Support SKU performance analysis, including projections, minimum order quantities, and identifying underperforming items.
  

Cross-Functional Collaboration

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• Partner with sales, marketing, product development, and operations teams to support category initiatives and customer-specific needs.
  
• Ensure adherence to product data accuracy, compliance labeling, packaging, and quality assurance testing standards.
  

Reporting

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• Contribute to weekly performance reporting, highlighting key insights, risks, and recommended actions.
  

Experience / Requirements

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• 3+ years of eCommerce experience required.
  
• 3+ years of experience in merchandising and category management required.
  
• Experience in education, curriculum, STEM, or seasonal businesses with large assortments and high SKU counts is a plus.
  
• Exposure to private brand management and collaboration with product development teams preferred.
  
• Strong understanding of eCommerce merchandising best practices and digital user experience.
  
• Experience with pricing and margin optimization tactics.
  
• Analytical, data-driven mindset; experience using AI-powered or advanced analytics tools is a plus.
  
• Excellent written and verbal communication skills with strong cross-functional collaboration abilities.
  
• Highly organized, detail-oriented, and proactive.
  
• Comfortable working in a fast-paced, evolving environment.
  
• Entrepreneurial mindset with the ability to navigate ambiguity.
  

Why Join Really Good Stuff / Excelligence Learning Corp

This role offers an exciting opportunity to grow within a high-impact merchandising team, helping shape the future of our Curriculum/STEM category while developing deeper category management and eCommerce expertise in a collaborative, mission-driven environment.

Excelligence is an Equal Employment Opportunity (EEO) Employer.

We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion or creed, gender, sex, pregnancy, gender identity or expression, sexual orientation, marital status, national origin or ancestry, ethnicity, citizenship status, genetic information, military or veteran status, age, physical or mental disability, or any other protected classification.

1. Role Summary

The Associate Director, Commercial Analytics, will serve as a key client-facing leader within KMK's Commercial Analytics Center of Expertise. This role combines strategic account management with hands-on delivery of advanced analytics solutions, focusing on patient claims analytics, brand analytics, marketing analytics, and predictive analytics. You will manage a portfolio of high-value client relationships, lead and mentor global teams to deliver tailored insights, and drive business growth through innovative data-driven solutions. As a culture carrier, you will mentor junior staff, promote best practices, and embody KMK's commitment to excellence, collaboration, and client success.

1. Key Responsibilities

• Account Management & Client Engagement: Build and maintain strong, long-term relationships with clients’ senior stakeholders. Act as the primary point of contact for commercial analytics needs, managing expectations, conducting regular business reviews, and identifying opportunities for expansion. Translate client business challenges into actionable analytics projects.
• Commercial Analytics Delivery: Lead the design, execution, and interpretation of analytics projects, with a focus on patient claims analytics, brand analytics, marketing analytics, and predictive analytics. Serve as a subject matter expert, guiding internal teams to ensure all deliverables are high-quality, timely, and exceed expectations.
• Project Leadership & Team Management: Oversee end-to-end project delivery, including scoping proposals, resource allocation, timeline management, and budget oversight. Mentor and develop a team of analysts and managers, fostering skill growth.
• Business Development & Innovation: Contribute to proposal development, ensuring methodological rigor and alignment with client needs. Identify growth opportunities for the firm, including new service offerings and improvements of existing processes. Stay abreast of industry trends in healthcare data, service offerings and AI/ML applications to innovate offerings and enhance KMK's competitive edge.
• Stakeholder Communication & Impact: Present analytical findings through compelling visualizations, reports, and executive summaries. Influence cross-functional teams and clients to drive data-informed decisions that elevate commercial performance and patient care outcomes.

Qualifications & Experience

• Education: Bachelor's degree in Business, Analytics, Statistics, Life Sciences, or a related field; Master's or MBA preferred.
• Experience: 7-10+ years in commercial analytics, consulting, or pharma/biotech, with at least 4 years in a client-facing leadership role (e.g., Manager, Senior Manager, or Associate Director). Proven track record in patient claims, brand, marketing, and/or predictive analytics required. Experience with life sciences datasets (e.g., claims, EMR, payer data), Speciality Pharmacy, Hub Data, 852 & 867, and coding skills (SAS, Python, SQL, etc.,) and knowledge of data visualization software such as Tableau or Power BI.
• Technical Skills: Strong proficiency in data analysis, statistical modeling, and coding (SQL, Python/R preferred). Familiarity with commercial operations tools (e.g., CRM, incentive compensation platforms) and advanced analytics methodologies (e.g., marketing mix modeling, segmentation).
• Soft Skills: Exceptional communication and presentation abilities, with experience influencing senior executives. Strategic thinker with a client-centric mindset, strong problem-solving skills, and a passion for mentoring. Ability to thrive in a fast-paced, collaborative environment while managing multiple priorities.