Position Summary We are seeking a curious, analytical, and execution-oriented Product Management Intern to support the development and adoption of AI-enabled products and workflow automation ...
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$29.90/hr
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Intern Ai Math Analyst information
See salary details
$12.02 - $14.75
7% of jobs
$17.44 is the 25th percentile. Wages below this are outliers.
$14.75 - $17.48
18% of jobs
$17.48 - $20.21
22% of jobs
The median wage is $20.64 / hr.
$20.21 - $22.95
17% of jobs
$24.59 is the 75th percentile. Wages above this are outliers.
$22.95 - $25.68
18% of jobs
$25.68 - $28.41
8% of jobs
$28.41 - $31.14
5% of jobs
$31.14 - $33.87
1% of jobs
$33.87 - $36.60
0% of jobs
$36.60 - $39.34
2% of jobs
$39.34 - $42.07
1% of jobs
$12
$22
$42
How much do intern ai math analyst jobs pay per hour?
What is the difference between Intern Ai Math Analyst vs Intern Data Scientist?
| Aspect | Intern Ai Math Analyst | Intern Data Scientist |
|---|---|---|
| Required Credentials | Math, Computer Science, or related field; some programming knowledge | Statistics, Computer Science, or related field; programming skills often required |
| Work Environment | Tech companies, AI startups, research labs | Tech firms, finance, healthcare, research institutions |
| Employer & Industry Usage | AI development, machine learning projects | Data analysis, predictive modeling, data-driven decision making |
Intern Ai Math Analysts focus on applying mathematical models to AI projects, often involving machine learning algorithms. Intern Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require strong math and programming skills, Intern Ai Math Analysts are more specialized in AI and algorithms, whereas Intern Data Scientists emphasize data analysis and statistical methods.
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Cities with the most Intern Ai Math Analyst job openings:
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Product Management Intern - AI Products
New York, NY โข On-site
Internship
Posted 18 days ago
Job description
Position Summaryย
We are seeking a curious, analytical, and execution-oriented Product Management Intern to support the development and adoption of AI-enabled products and workflow automation initiatives across the organization. Working closely with the SVP, Strategic Projects and cross-functional partners, the intern will help identify high-value use cases, translate business needs into clear product requirements, support rapid prototyping, and measure the impact of AI-powered solutions. This internship is ideal for a student who is interested in the intersection of product management, artificial intelligence, business operations, and user experience.ย
Key Responsibilitiesย
Partner with Product, Operations, Technology, and business teams to identify and evaluate opportunities where AI can simplify complex workflows, improve user experiences, or increase operational efficiency.ย
Gather, analyze, and document business and user requirements for AI-enabled products, workflow automations, and internal tools.ย
Translate business needs into product requirements documents, user stories, acceptance criteria, process maps, and prioritized backlogs.ย
Support the discovery, design, prototyping, testing, and rollout of AI product concepts, including proof-of-concept solutions and dashboards.ย
Conduct user research, stakeholder interviews, and workflow analysis to understand pain points, validate assumptions, and define measurable outcomes.ย
Contribute to AI initiatives across multiple products and business linesย
Develop frameworks and scorecards for measuring AI product success, including adoption, accuracy, time savings, quality, user satisfaction, and business impact.ย
Assist with defining MVP scope, prioritizing features, evaluating trade-offs, and maintaining clear product roadmaps and delivery plans.ย
Coordinate with cross-functional stakeholders to track milestones, dependencies, risks, decisions, and action items.ย
Support product testing by documenting test scenarios, gathering feedback, identifying issues, and validating that solutions meet user and business requirements.ย
Research emerging AI capabilities, product management practices, and relevant market trends, and summarize practical implications for the organization.ย
Prepare clear presentations, product updates, recommendations, and demonstrations for business and senior leadership audiences.ย
Maintain product documentation, decision logs, implementation materials, and user guidance to support successful adoption.ย
Apply responsible AI principles by considering data quality, privacy, security, transparency, human oversight, and potential business risks throughout the product lifecycle.ย
Qualificationsย
Currently enrolled in an undergraduate or graduate program in Product Management, Business, Information Systems, Computer Science, Engineering, Data Science, Human-Computer Interaction, or a related field.ย
Demonstrated interest in AI-enabled products, automation, digital platforms, or technology-driven business transformation.ย
Foundational understanding of product management practices, including customer discovery, requirements gathering, user stories, prioritization, MVP definition, and product metrics.ย
Strong analytical and structured problem-solving skills, with the ability to break down ambiguous business challenges.ย
Excellent written and verbal communication skills, including the ability to explain technical or complex concepts clearly to non-technical audiences.ย
Strong organizational skills and attention to detail, with the ability to manage multiple workstreams and follow through on commitments.ย
Comfort working independently and collaboratively in a fast-paced, cross-functional, and geographically distributed environment.ย
Proficiency with Microsoft 365 productivity tools or comparable collaboration, presentation, and data-analysis platforms.ย
Preferred Qualificationsย
Previous internship, academic, or project experience in product management, software development, business analysis, consulting, operations, or UX research.ย
Experience creating product requirements, business cases, user journeys, wireframes, prototypes, dashboards, or process documentation.ย
Familiarity with generative AI, large language models, prompt design, AI agents, retrieval-based applications, or machine-learning product concepts.ย
Experience with low-code or no-code automation and prototyping tools.ย
Exposure to agile delivery methods, product analytics, experimentation, A/B testing, or data visualization.ย
Interest in regulated, data-intensive, financial, sustainability, energy, or environmental markets.ย
What Success Looks Likeย
High-value AI and automation opportunities are clearly defined, prioritized, and connected to measurable business outcomes.ย
Product requirements and user stories are clear, actionable, and grounded in stakeholder and user needs.ย
Prototypes and product concepts are tested efficiently, with feedback incorporated into practical recommendations.ย
Cross-functional teams have clear visibility into scope, progress, risks, decisions, and next steps.ย
AI product initiatives are supported by meaningful success metrics and a thoughtful approach to responsible use.ย
About Xpansiv
Sourced by ZipRecruiter
Industry
Internet and it
Company size
201 - 500 Employees
Headquarters location
San Francisco, CA, US
Year founded
2016