The visit, hosted by MIT Career Advising & Professional Development (CAPD), offered participants an opportunity to learn more about economic consulting—engaging in candid conversations, participating in consultant panels, and seeing how analytical work translates into practice across market and policy contexts.

Paths into the field

The visit included a tour, a panel discussion, and individual conversations with consultants. During the panel, employees answered questions and shared insights into their paths into economic consulting, including transitions from academia and the collaborative nature of their work.

Senior Energy Analyst Nathan Felmus described a recent case involving PJM’s electricity market, where his analysis informed pricing decisions across large regions of the country. “It’s amazing to know that my work is informing such impactful policy decisions,” he added.

During the visit, participants walked through Brattle’s in-house library, complete with a dedicated librarian—a resource consultants described as central to their work. In conversation, they shared that much of their growth comes from taking on new cases, learning deeply as each project unfolds, and building expertise through hands-on experience supported by mentorship.

Reflecting on fit and career exploration

For students early in their academic journeys, these conversations added valuable context. First-year student Maria Calvo shared that learning about Brattle’s roles, structure, and recruitment timelines helped her better understand how opportunities might unfold over time. “The visit sparked my interest in energy consulting and made me aware of upcoming recruitment cycles I hope to participate in when I’m eligible,” she said.

By the end of the visit, participants left with a clearer picture of what economic consulting looks like in practice at The Brattle Group and of the paths for growth within the field. Experiences like this, supported by CAPD, allow students and postdocs to explore careers through firsthand exposure—meeting professionals, seeing workplaces, and considering fit, whether for an upcoming hiring cycle or opportunities still ahead.

On behalf of the participants, CAPD thanks The Brattle Group for hosting a thoughtful and engaging visit.

Related Links

• Students: “Connecting with Employers“
• Employers: Explore Scheduling an employer program or event to learn more about CAPD opportunities. If you are interested in hosting MIT students at your workplace, reach out to the Employer Relations team at hiremit@mit.edu.
• Article: “Exploring robotics, scale, and systems through a Symbotic site visit“

Framingham, MA, United States

Job Description

Staples is business to business. You are what binds us together.

We are looking for a graduate-level student for an Enterprise Tools Engineering Intern position to join our Enterprise Tools Engineering team, with a focus on AI-driven automation and observability platforms. This role provides hands-on experience building and enhancing the enterprise tools that power reliability, performance, and operational excellence across Staples’ digital platforms. You will work alongside senior engineers on real production systems used by hundreds of engineering teams.

Target Start Date: June 1, 2026 – August 14, 2026 (11-week program)

What you bring to the table:

• Systems Thinker – interested in how large-scale platforms, tools, and workflows enable engineering teams at scale.

• Automation Mindset – passionate about reducing manual effort through scripting, APIs, AI-assisted workflows, and self-service tooling.

• Data & Insight Oriented – curious about metrics, logs, traces, and how observability data drives better decisions.

• Collaborative – able to partner with SRE, application engineering, performance, and product teams.

• Self-Directed Learner – comfortable operating with ambiguity and proactively learning new tools and technologies.

What you’ll be doing:

• Design and build automation solutions to improve reliability, efficiency, and self-service across engineering teams

• Develop scripts, services, or workflows that integrate with enterprise platforms such as observability, alerting, or ITSM tools

• Apply AI/ML or LLM-based techniques (e.g., analysis, summarization, anomaly detection, or assisted remediation) to operational data

• Work with observability data, including metrics, logs, and traces, to support monitoring, alerting, and insight generations

• Contribute code using modern engineering practices, including version control, code reviews, and CI/CD pipelines

• Collaborate in Agile ceremonies and partner with senior engineers to design scalable, maintainable solutions

What’s needed – Basic Qualifications:

• Currently pursuing a master’s degree in Computer Science, Software Engineering, Data Science, or a related field

• Strong foundation in software engineering concepts, data structures, and algorithms

• Proficiency in at least one programming language such as Python, Java, or similar

• Experience working in Linux-based environments and using Git for version control

What’s Needed – Preferred Qualifications:

• Exposure to observability or monitoring tools (e.g., metrics, logging, tracing platforms)

• Experience with automation, scripting, or workflow orchestration (Python, shell, REST APIs, etc.)

• Familiarity with cloud platforms, containers, or Kubernetes concepts

• Interest or coursework in AI/ML, applied analytics, or large language models

• Understanding of site reliability, performance engineering, or platform engineering

About Us

Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.

Apply Now using this link: https://fa-exhh-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/StaplesInc/job/63906/?utm_medium=jobshare&utm_source=External+Job+Share

ARS Office/Lab and Location: A postdoctoral research opportunity is available with the U.S. Department of Agriculture (USDA), Agricultural Research Service (ARS), Hydrology and Remote Sensing Laboratory. This opportunity is in Beltsville, Maryland.

The Agricultural Research Service (ARS) is the U.S. Department of Agriculture’s chief scientific in-house research agency with a mission to find solutions to agricultural problems that affect Americans every day from field to table. ARS will deliver cutting-edge, scientific tools and innovative solutions for American farmers, producers, industry, and communities to support the nourishment and well-being of all people; sustain our nation’s agroecosystems and natural resources; and ensure the economic competitiveness and excellence of our agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence.

Research Project: The Postdoctoral Program of the USDA ARS offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales, from the genome to the continent, and sub-daily to evolutionary time scales.

This postdoctoral opportunity entails two major goals. One goal is for the candidate to gain experience in situ monitoring by establishing a soil moisture monitoring network within agricultural fields for validating NISAR products. The second goal is for the candidate to learn about new technologies in radar and optical remote sensing (e.g., satellite, aircraft, drone, pheno-camera) to address current issues in agriculture, such improving the cropland and soil moisture mapping results from NISAR.

In collaboration with researchers at USDA-ARS, the participant will have opportunities to:

• Leverage new data and products from the NASA-ISRO Synthetic Aperture Radar (NISAR) mission to evaluate agricultural and soil moisture products within agricultural fields during growing season.
• Participate in a cross-site field experiment that will capture soil moisture and other ancillary field data to help with ground truthing the satellite products, collaborating with USDA-ARS scientists across the country.
• Investigate the differences between the NISAR soil moisture and agricultural products (Crop Area) and provide recommendations on their relative strength and weaknesses for end-users.
• Help develop new or improve existing soil moisture estimates using NISAR and other datasets utilizing artificial intelligence (AI) and machine learning.

The outcome from the project is anticipated to advance scientific knowledge in support of the USDA research of “Promoting Soil Health to Regenerate Long-Term Productivity of Land”.

Learning Objectives: The candidate will have opportunities to improve their knowledge with radar and optical data, geographical information systems, and field measurements such as soil moisture.

Mentor(s): The mentor for this opportunity is Simon Kraatz (simon.kraatz@usda.gov). If you have questions about the nature of the research, please contact the mentor(s).

Anticipated Appointment Start Date: May 4, 2026. Start date is flexible and will depend on a variety of factors.

Appointment Length: The appointment will initially be for on year, but may be renewed upon recommendation of ARS and is contingent on the availability of funds.

Level of Participation: The appointment is full time.

Participant Stipend: The participant will receive a monthly stipend commensurate with educational level and experience. The anticipated stipend range is $90,000 – $100,000 annually.

Citizenship Requirements: This opportunity is available to U.S. citizens only.

ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and ARS. Participants do not become employees of USDA, ARS, DOE or the program administrator, and there are no employment-related benefits. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE.

Questions: Please visit our Program Website. After reading, if you have additional questions about the application process, please email ORISE.ARS.Northeast@orau.org and include the reference code for this opportunity.

Qualifications

The qualified candidate should have received a doctoral degree in the one of the relevant fields. Degree must have been received within the past five years.

Preferred skills:

• Experience with analysis of large, diverse datasets including field experimental data, geospatial data, and time series data.
• Experience with machine learning and statistical learning.
• Familiarity with various management practices in the US agriculture.
• Proficiency in R, Python, Matlab, or other common programing languages (e.g., C/C++).
• Strong computational skills.
• Strong oral and written communication skills.

Stipend

$90,000.00 – $100,000.00 Yearly

Point of Contact

Janeen

Eligibility Requirements

• Citizenship: U.S. Citizen Only
• Degree: Doctoral Degree received within the last 60 month(s).

For more information, visit the Audax Group website www.audaxgroup.com. or follow us on LinkedIn.

POSITION SUMMARY:

Audax is seeking a curious, analytical, and highly motivated Business Intelligence Intern to join our Business Solutions team. This internship offers hands-on exposure to real-world data analytics and business intelligence initiatives within a fast-paced, collaborative environment.

In this role, you will support Audax’s Business Intelligence (BI) strategy by working closely with BI and business stakeholders to analyze data, develop and maintain data models, and ensure the accuracy and integrity of reporting. You will gain practical experience across the full BI lifecycle—from data preparation and modeling to visualization and insights—while contributing to the continued evolution and scalability of the firm’s BI capabilities.

This is an excellent opportunity for someone looking to build a strong foundation in analytics, data-driven decision-making, and enterprise BI within a leading private equity firm.

KEY RESPONSIBILITIES:

• Design, implement, maintain, and help scale Audax’s Business Intelligence reporting and semantic layer across the organization
• Support Business Solutions and other strategic functions through Power BI development, data analytics, and reporting solutions
• Collaborate with BI professionals to enhance and scale the semantic layer within Audax’s cloud-based enterprise data warehouse
• Perform data validation and data quality assessments, identifying, troubleshooting, and resolving data anomalies

TECHNOLOGY & ANALYTICAL COMPETENCIES

• Proficiency in Power BI and SQL required
• Familiarity with on-premise and cloud-based databases a plus

REQUIREMENTS / QUALIFICATIONS

• Currently pursuing a Bachelor’s or Master’s degree in Finance, Accounting, Analytics Engineering, Data Analytics, Computer Science, or a related field
• Strong analytical, problem-solving, and critical-thinking skills
• Prior internship, co-op, or full-time experience in a related analytics, data, or technology role is a plus
• Ability to communicate technical concepts clearly through strong written and verbal communication skills
• Highly motivated, detail-oriented, and eager to learn in a fast-paced, collaborative environment

LOCATION: New York, NY. This position is 40 hours/week and in the office 4 days/week. These in-office requirements may be adjusted based on the needs of the business.

TIMELINE: July – December CO – OP or Internship

OTHER DUTIES:

This job description outlines the primary responsibilities of the role but is not intended to be an exhaustive list of all duties or tasks. Responsibilities may evolve over time based on business needs, and additional duties may be assigned as appropriate.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice.

Audax Management Co. is an equal opportunity employer.

Please note that Audax Group and its affiliated entities do not accept unsolicited resumes from a third-party recruiting agency not currently under a signed agreement. Any unsolicited resume that is sent to directly to Audax Group or one of its affiliated entities, or its employees, including those submitted to hiring managers by a third-party recruiting agency not currently under a signed agreement, will be considered property of Audax Group. If a third-party recruiting agency submits a resume without an agreement, Audax Group or its affiliated entities explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the third-party recruiting agency. Any third-party recruiting agency should contact either a member of the Talent Acquisition or Human Resource team at Audax Group, in conjunction with a valid, fully executed contract for service based upon a specific job opening.

The opportunity to work on projects that truly impact the company

Journey-to-the-Job seminars with CareSource leaders to network and learn about their career paths

An assigned mentor and access to former interns who earned full-time positions with CareSource

An opportunity to test what you have learned and discover where you want to go

The satisfaction of working with smart and motivated people while building new skills

Essential Functions:

Work in UI Path

Work with large amounts of transactional data for reconciliation utilizing programs such as Excel, and Facets.

Partner and work with our vendors to help coordinate and implement various AI initiatives

Take recommendations to tweak and enhance our various AI models

Identify potential areas of improvement and opportunities to leverage AI technology for existing processes

Use AI driven solutions, and work with an AI automation driven project.

Other department projects as assigned

Education and Experience:

High School Diploma or equivalent is required

Current Rising Junior or Senior in an accredited degree program or graduated within the last 6 months is required

Competencies, Knowledge and Skills:

Proficient with Microsoft Office Suite to include Outlook, Word, Excel and PowerPoint

Good written and verbal communication skills

Ability to work in a fast-paced environment

Ability to work independently and within a team environment

Effective listening and critical thinking skills

Dependable, flexible and ability to maintain confidential information

Effective problem-solving skills with attention to detail

Licensure and Certification:

None

Working Conditions:

General office environment; may be required to sit or stand for extended periods of time

Personalized orientation and mentoring programs

Company and job-specific training

Feedback opportunities throughout your first 90 days

Inclusive culture with employee resource groups

Flexible work environment with remote opportunities and paid volunteer hours

Performance and personal growth goals with defined success metrics

Ongoing feedback process with your manager to discuss your progress and identify actions for continued growth

Potential for internal and external training and development programs, stretch assignments, expanded responsibilities and more

Location: NYC

Compensation: Competitive salary + significant equity (founding team). Open to considering interns as well.

About Kinetic Trials

Kinetic Trials’ mission is to accelerate the delivery of life changing therapies into the hands of patients with the first agentic operating system for clinical trial operations.

Our goal is to shorten the drug development lifecycle by partnering with our customers to deploy AI agents that make them more financially resilient, automate administrative tasks and augment people-centric workflows.

Our founder has deep domain expertise from advising on the most prominent M&A transactions in clinical research and we are backed by top-tier early stage investors Bling Capital, CoFound Partners and Animal Capital (early backers of Palantir, Gitlab, Square, Grow Therapy, Garner Health, Colossal Biosciences to name a few).

We recently raised an oversubscribed round of funding, have a paid design partner customer ready for us to build, and strong customer pipeline momentum.

The Role

We’re looking for a Founding Engineer (or interns) to own our technical direction and accelerate product development alongside our design partners. This is a hands-on building role: you’ll be writing code daily while leading our architectural decisions.

Framingham, MA, United States

Job Description

Staples is business-to-business. You are what binds us together.

We are looking for a graduate-level student for an Enterprise Quality Engineering Intern to join our Automation Center of Excellence team, with a focus on AI-driven automation framework and automation enablement. This role provides hands-on experience building and enhancing the automation framework that enables the Staples enterprise teams to develop and execute automated tests for APIs/Services, web experience, and mobile apps. You will work alongside QE Architect and senior engineers on real automation capabilities used extensively by engineering teams across the enterprise.

Target Start Date: June 1, 2026 – August 14, 2026 (11-week program)

What you bring to the table:
• Passionate learner: You are a team player, passionate to learn and collaborate and results-oriented problem solver.
• Automation Mindset – Passionate about reducing manual effort and keen to learn automation through scripting, Web, Mobile and APIs, AI-assisted workflows, and self-service tooling.
• Quality Mindset: You like working in a fast-paced environment with shifting priorities focused on testing of Staples E-Commerce platforms
• Systems Thinker – interested in how large-scale automation framework, tools, and different libraries integrate to enable engineering teams with their automation enablement.
• Data & Insight Oriented – curious about metrics, logs, traces, and how data driven testing results in better QA.
• Self-Directed Learner – comfortable operating with ambiguity and proactively learning new tools and technologies.

What you’ll be doing:
• Assist in designing, developing, and maintaining test automation framework and scripts using Java, TestNG, Maven, Selenium, Appium, and RestAssured libraries.
• Learn how different technologies within the automation framework integrate with tools like Jira, Selenium Grid, and cloud platforms such as LambdaTest.
• Learn and apply object-oriented programming principles and assist in implementing the Page Object Model to help maintain scalable automation code.
• Support the automation teams in testing Staples’ eCommerce platforms, including UI, responsive web, native mobile apps, and microservices-based systems.
• Use and learn AI-powered development tools (e.g., GitHub Copilot, intelligent IDEs) to improve efficiency and reduce manual effort while writing automation tests.
• Participate in Agile ceremonies and collaborate with cross-functional teams to understand testing needs and support sprint goals.
• Assist with documentation, knowledge sharing, and team discussions to help resolve automation challenges.
• Contribute to small proof-of-concept tasks and learn how new automation tools and technologies are evaluated for enterprise use.
• Stay curious about industry trends and emerging technologies, and share ideas that may help improve automation speed, accuracy, or user experience.

What’s needed – Basic Qualifications:
• Currently pursuing a master’s degree in Computer Science, Software Engineering, or a related field.
• Strong foundation in software engineering concepts, SDLC, and OOP.
• Proficiency in at least one programming language such as Python, Java, or similar.
• Experience working in cloud environments and using Git for version control.

Preferred Qualifications:
• Prior QA experience on a large-scale Enterprise application or preferably an e-commerce application.
• Experience with API services, Web or Mobile automation development using open-source technologies.
• Familiarity with cloud platforms, cloud testing, and Selenium Grid.
• Interest or coursework in AI/ML, applied analytics, or large language models.
• Understanding of concepts of software quality assurance testing, Integration testing and automation engineering concepts.

About Us

Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.

Apply Now using this link: https://fa-exhh-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/StaplesInc/job/63896/?utm_medium=jobshare&utm_source=External+Job+Share

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Handshake is the career network for the AI economy. More than 20 million knowledge workers, 1,600 educational institutions, and 1 million employers — including 100% of the Fortune 50 — trust Handshake to power career discovery, hiring, and upskilling. From freelance AI training gigs to first internships to full-time careers and beyond, we connect talent with opportunity at every stage.

This unique position in the ecosystem is driving exceptional growth — in 2025, we tripled ARR at scale.

Why join Handshake now:

• Shape how careers evolve in the AI economy at global scale, with visible real-world impact
• Work directly with leading AI labs, Fortune 500 partners, and top educational institutions
• Help build a rapidly scaling business on a path toward multi-billion-dollar revenue

The Role

As a Machine Learning Engineering Intern, you will contribute to building intelligent product experiences that help students discover and secure opportunities. Your work will span search, recommendations, matching, and other discovery systems that power job exploration on Handshake.

You will gain hands-on experience developing, evaluating, and deploying machine learning models in a production environment, learning how large-scale ML systems are designed, optimized, and maintained.

This is a paid, full-time summer internship with two cohort options:

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

In this role, you will:

• Partner with senior engineers and data scientists to develop machine learning models that improve product features and user experience
• Contribute to experimentation, model evaluation, and performance monitoring
• Participate in technical discussions, brainstorming sessions, and team reviews
• Document methodologies and findings to support knowledge sharing and long-term system improvements

You Have

Must-Haves

• Currently pursuing a Doctorate degree in Computer Science, Data Science, or a related field
• Experience in supervised and/or unsupervised machine learning, ML operations
• Have strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow
• Have exposure to software engineering best practices (version control, testing, code reviews)
• Have familiarity with data analysis techniques and experience with SQL
• Have strong problem-solving skills and the ability to work in a collaborative team environment
• Have strong communication skills and are able to explain technical concepts effectively

Bonus Points

• Experience with cloud platforms such as AWS, Google Cloud, or Azure
• Exposure to research in Large Language Models or Reinforcement Learning is a strong plus.
• Publications at leading conferences such as SIGIR, KDD, WSDM, RecSys
• Experience with modern coding tools like Cursor/Claude code/Codex
• Prior internship or project experience in applied machine learning in domains such as NLP, search and recommendation systems

We Offer

Handshake provides benefits that help you feel supported and thrive at work and in life.
(The below benefits apply to US-based interns.)

Competitive hourly compensation

Mentorship and hands-on learning from experienced ML engineers

5 days/week in-office experience

Structured intern programming and team events

Explore our mission, values, and open roles at joinhandshake.com/careers.

Handshake is the career network for the AI economy. More than 20 million knowledge workers, 1,600 educational institutions, and 1 million employers — including 100% of the Fortune 50 — trust Handshake to power career discovery, hiring, and upskilling. From freelance AI training gigs to first internships to full-time careers and beyond, we connect talent with opportunity at every stage.

This unique position in the ecosystem is driving exceptional growth — in 2025, we tripled ARR at scale.

Why join Handshake now:

• Shape how careers evolve in the AI economy at global scale, with visible real-world impact
• Work directly with leading AI labs, Fortune 500 partners, and top educational institutions
• Help build a rapidly scaling business on a path toward multi-billion-dollar revenue

The Role

As a Machine Learning Engineering Intern, you will contribute to building intelligent product experiences that help students discover and secure opportunities. Your work will span search, recommendations, matching, and other discovery systems that power job exploration on Handshake.

You will gain hands-on experience developing, evaluating, and deploying machine learning models in a production environment, learning how large-scale ML systems are designed, optimized, and maintained.

This is a paid, full-time summer internship with two cohort options:

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

In this role, you will:

• Partner with senior engineers and data scientists to develop machine learning models that improve product features and user experience
• Contribute to experimentation, model evaluation, and performance monitoring
• Participate in technical discussions, brainstorming sessions, and team reviews
• Document methodologies and findings to support knowledge sharing and long-term system improvements

You Have

Must-Haves

• Currently pursuing a Doctorate degree in Computer Science, Data Science, or a related field
• Experience in supervised and/or unsupervised machine learning, ML operations
• Have strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow
• Have exposure to software engineering best practices (version control, testing, code reviews)
• Have familiarity with data analysis techniques and experience with SQL
• Have strong problem-solving skills and the ability to work in a collaborative team environment
• Have strong communication skills and are able to explain technical concepts effectively

Bonus Points

• Experience with cloud platforms such as AWS, Google Cloud, or Azure
• Exposure to research in Large Language Models or Reinforcement Learning is a strong plus.
• Publications at leading conferences such as SIGIR, KDD, WSDM, RecSys
• Experience with modern coding tools like Cursor/Claude code/Codex
• Prior internship or project experience in applied machine learning in domains such as NLP, search and recommendation systems

We Offer

Handshake provides benefits that help you feel supported and thrive at work and in life.
(The below benefits apply to US-based interns.)

Competitive hourly compensation

Mentorship and hands-on learning from experienced ML engineers

5 days/week in-office experience

Structured intern programming and team events

Explore our mission, values, and open roles at joinhandshake.com/careers.

Role Overview

We are seeking an experienced AI Product Manager to join our fast-growing team. You will own the end-to-end lifecycle of AI-powered products, from ideation through launch and iteration. Your primary focus will be to drive the development, release, and continuous improvement of AI apps—such as ticket triage, ticket QA, sentiment analysis, and conversational BI—ensuring they deliver measurable value to our MSP clients.

Key Responsibilities

• Product Ownership: Lead the strategy, roadmap, and execution for AI-powered apps, including ticket triage, ticket QA, and sentiment analysis, ensuring alignment with company goals and client needs.
• Cross-functional Collaboration: Work closely with engineering, data science, design, marketing, and sales to deliver high-quality products on schedule.
• Client-Centric Development: Engage with MSP clients and internal stakeholders to gather requirements, validate product value, and ensure exceptional user experience.
• Market Analysis: Monitor industry trends, competitor offerings, and customer feedback to inform product strategy and feature prioritization.
• Performance Tracking: Define and track key product metrics, using data-driven insights to guide product improvements and report on outcomes.
• Documentation & Training: Ensure clear product documentation and support materials are available for both internal teams and clients.
• Prototyping & Iteration: Lead rapid prototyping and MVP releases, especially for new AI-driven features and apps, leveraging client feedback for continuous improvement.

Qualifications

• 5+ years of product management experience, preferably in SaaS, AI, or automation products.
• Demonstrated success managing Gen AI/ML-powered AI agent products from concept to launch.
• Strong technical acumen and experience working with data science and engineering teams.
• Experience with cloud AI platforms (Azure OpenAI, AWS) and usage-based billing models is highly desirable.
• Excellent communication, collaboration, and client management skills
• Analytical mindset with a passion for data-driven decision-making.
• Experience working in agile environments and managing multiple priorities.
• Have the ability to work flexibly and effectively with cross-functional teams across the US, China, and the Philippines