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Google Rotational Program Jobs in New York (NOW HIRING)

New York Medical College

GME Project Manager

Hawthorne, NY · On-site

$60K - $75K/yr

... faculty, rotations, and educational programs. * Analyze program performance data and recommend ... Proficiency in Microsoft Office applications (word, excel, PowerPoint), Google documents and ...

Touro University

GME Project Manager

Hawthorne, NY · On-site

$60K - $75K/yr

... faculty, rotations, and educational programs. * Analyze program performance data and recommend ... Prociency in Microsoft Office applications (word, excel, PowerPoint), Google documents and ...

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All JobsGoogle Rotational Program JobsGoogle Rotational Program Jobs in New York

Google Rotational Program information

See New York salary details

$27.4K

$57.3K

$99K

How much do google rotational program jobs pay per year?

As of Sep 5, 2026, the average yearly pay for google rotational program in New York is $57,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $65,100.00 per year, depending on experience, location, and employer.

What is the Google Rotational Program?

The Google Rotational Program is a structured early-career opportunity designed for recent graduates to gain broad experience across multiple teams at Google. Participants rotate through different roles or departments, typically over a period of 18 to 24 months, allowing them to develop diverse skills and learn about various aspects of the company. The program provides mentorship, training, and networking opportunities, making it a valuable starting point for a long-term career at Google. Successful completion of the program may lead to a permanent position within the company.

What types of projects and responsibilities can participants expect during the Google Rotational Program?

Participants in the Google Rotational Program typically work on a diverse range of projects across multiple teams, such as product management, engineering, marketing, and operations. Each rotation offers hands-on experience in real business challenges, and participants are often given ownership of specific deliverables or initiatives. This structure allows for rapid learning, exposure to different aspects of the company, and strong networking opportunities. Collaboration is highly encouraged, and participants regularly work alongside experienced Googlers, mentors, and peers to solve complex problems and drive impact.

What are the key skills and qualifications needed to thrive in the Google Rotational Program, and why are they important?

To excel in the Google Rotational Program, candidates typically need a strong academic background, analytical thinking, and problem-solving skills, often with a degree in business, computer science, or related fields. Familiarity with tools like Google Workspace, data analysis software, and project management platforms, along with relevant internships or certifications, is highly valued. Exceptional communication, adaptability, and collaboration skills help participants stand out as they navigate diverse teams and projects. These qualities are crucial because the program is designed to develop well-rounded professionals who can thrive in different business and technical environments at Google.

What is the difference between Google Rotational Program vs Google Associate Product Manager?

AspectGoogle Rotational ProgramGoogle Associate Product Manager
CredentialsBachelor's degree, relevant internshipsBachelor's or master's degree, technical background preferred
Work EnvironmentRotational assignments across teams, learning-focusedProduct development, cross-functional collaboration
Employer UsageEarly career development program at GoogleEntry-level product management role at Google
Search/Comparison IntentUnderstanding program structure and career pathRole responsibilities and career progression

The Google Rotational Program offers participants diverse experiences across teams, focusing on learning and development, while the Associate Product Manager role is a specific position centered on managing products and collaborating with cross-functional teams. Both paths are designed for early-career professionals but differ in structure and focus, with the rotational program providing broader exposure and the APM role emphasizing product management skills.

What are popular job titles related to Google Rotational Program jobs in New York?

For Google Rotational Program jobs in New York, the most frequently searched job titles are:

What job categories do people searching Google Rotational Program jobs in New York look for?

The top searched job categories for Google Rotational Program jobs in New York are:

What cities in New York are hiring for Google Rotational Program jobs?

Cities in New York with the most Google Rotational Program job openings:

Google Rotational Program jobs near you
Infographic showing various Google Rotational Program job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $57,284 per year, or $27.5 per hour.

Applied AI Scientist - AI Fellowship Program

Jobzhr

Manhattan, NY • On-site

$120 - $180/hr

Other

Posted 8 days ago

Key responsibilities

  • Build agentic workflows, data pipelines, and research automation to improve investment research processes and decision speed

  • Learn BAM's in-house AI ecosystem and contribute to production tooling within the central AI team

  • Collaborate with portfolio managers and analysts to translate investment workflows into technical solutions and work across multiple investment teams

Job description

Role Overview

BAM is launching an exclusive AI Fellowship program – a rotational program that places elite AI implementation talent directly onto BAM’s investment teams. You will begin embedded with our central AI team, learning BAM’s platform and systems while shipping production tooling from the outset. You will then rotate onto investment teams as the dedicated AI partner to a portfolio manager, building agentic workflows, research automation, screening tools and model tooling against live investment problems. Teams have already signalled demand for these seats, and the goal is a permanent home on the desk.

Key Responsibilities
  • Build for the Desk: Design, build and deploy agentic workflows, data pipelines and research automation that directly improve a portfolio manager’s research process and decision speed
  • Learn the Platform: Spend your initial months with the central AI team mastering BAM’s in-house AI ecosystem, while contributing production tooling to the central platform
  • Embed & Partner: Sit with PMs and analysts on rotation, translating investment workflows and ambiguous requirements into working technical solutions
  • Rotate & Explore: Work across multiple investment teams and strategies, developing the breadth of exposure needed to find the team and problem set where you have the greatest impact
  • Maintain Edge: Track emerging LLM techniques and agentic frameworks, pilot promising approaches on real investment problems, and bring proven wins to the teams you work with
QualificationsEducation
  • Master's degree in AI, Data Science, Computer Science, Statistics, Mathematics or a related quantitative field, or equivalent work experience. Advanced degrees preferred
  • Strong grounding in computer science, statistics, machine learning and generative AI is required
Experience
  • 3 – 5 years of experience in a user-facing role, scoping, building and deploying LLM-based solutions in production
  • Demonstrable experience building LLM-based applications using agentic frameworks
  • Direct work with non-technical stakeholders to shape and deliver solutions
  • Exposure to buy-side, equity research or another investment setting is a plus
Technical Skills
  • Highly proficient in Python for engineering, statistical modelling and machine learning
  • Experience integrating LLMs and AI models into production workflows
  • Familiarity with model provider APIs (OpenAI, Anthropic, Google) and agentic frameworks such as LangGraph, the OpenAI Agents SDK or the Claude Agent SDK
  • Fluency with agentic coding tools such as Claude Code and Codex
  • Working knowledge of MCP for tool and data integration
  • Familiarity with cloud platforms (AWS, Azure, GCP), Git, and workflow orchestration tools such as Airflow is a strong plus
Soft Skills
  • Strong problem-solving and analytical skills, with a bias toward shipping
  • Excellent communication skills; able to explain technical trade-offs to portfolio managers and analysts
  • Self-directed, comfortable operating with ambiguity and limited supervision
  • Able to manage multiple workstreams and deliver to deadline
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