As part of our Merchant team, you'll work across Engineering, Data Science, Product Marketing, and Design to deliver industry-leading AI and ML solutions, including the use of LLMs, to identify and surface relevant, high-quality merchants across all segments.

This will help Pinners discover new brands, increasing their confidence and consideration for shopping, while helping our merchants build new, diverse audiences.

You'll ship impactful models and experiences which direct high-traffic Pinterest surfaces, including both organic and paid, playing a key role in Pinterest's top strategic theme for the years ahead.

Responsibilities:

• 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.

Requirements:

• Track record in AI/ML products: Experience building and launching personalized experiences, ideally at scale, for e-commerce platforms.

• Technical fluency: Strong understanding of AI/ML product development; usage of LLMs for scale, ability to credibly partner with engineers and data scientists across the stack.

• Strong product discovery skills: You're comfortable talking to business customers, mapping workflows, validating problems, and translating insights into clear product strategies and roadmaps.

• Sharp communication: Comfortable presenting to executives and cross-functional audiences; excels at simplifying complex technical and product concepts to drive clear decisions.

• Comfort with ambiguity and a bias for action: You can bring clarity to ambiguous problem spaces and move quickly while keeping stakeholders informed.

• Strategic and customer-centric: Deep empathy for user needs, with an ability to turn rich data and insights into new opportunities and delightful features.

• Ecosystem Understanding: Strong experience in B2B2C or “dual-customer” operating models to deliver delightful experiences for multiple stakeholders.

• Collaborative influencer: Ability to build trusted relationships with a variety of internal partners (including Advanced Technology, Product Marketing, Sales, 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.

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You will join a team of top-tier data scientists and become an integral part of the product organisation, helping to scale this new business.

Joining on the ground floor of this startup team, you'll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Manage and scale a high performing team of data scientists

• Coach and mentor data scientists of varying experiences to ensure their continued growth

• Plan, execute, and deliver a portfolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment

• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies

• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written

• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth

• Identify what matters most and prioritise ruthlessly

Requirements

• Bachelor's or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

• 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company

• 3+ years of experience directly managing data scientists or product analysts

• Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact

• Deep understanding of statistical analysis, experimentation design, and common analytical techniques

• Experience using data to inform product and business decisions that led to measurable outcomes

• Exceptional verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products

• Expertise in using data to inform AI/ML product development

• Background in SaaS product

Compensation

Canada Pay Range $187,900-$254,100 CAD

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We're looking for someone with 5-8 years of applied ML experience, previous background in a senior/staff role, and significant demonstrated impact that their work has had on the product and/or the teams. You should have strong programming skills, experience as the primary technical leader for a team, and strong communication skills, both within engineering teams and across disciplines.

As a bonus, we're looking for someone with a track record of shipping ML products, PhD or other experience in a research environment, deep experience in an applicable ML area, and strong stats or math background.

We offer competitive salary and equity in a fast-growing start-up, regular compensation reviews, pension scheme, life assurance, comprehensive health and dental insurance, flexible paid time off policy, paid maternity leave, and relocation support for those moving to our offices.

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How often do you get the opportunity to be on the ground floor of a big and important mission? As a Senior Data Scientist for Dropbox's AI-first journey, you will join a team of top-tier data scientists and become an integral part of the product organisation, helping to scale this new business.

You will partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritise ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelor's or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, drive measurable business impact, and proactively engage with business stakeholders with minimal direction
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Compensation

US Zone 2: $173,700-$234,900 USD US Zone 3: $154,400-$208,800 USD

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Joining on the ground floor of this startup team, you'll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritise ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelor's or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, drive measurable business impact, and proactively engage with business stakeholders with minimal direction
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Compensation

Canada Pay Range $162,400-$219,600 CAD

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What you'll do

You will define and evolve enterprise-wide AI product strategies, aligning with EA's business priorities and guiding a portfolio of AI use cases such as copilots, automation, and content generation.

• You will establish and enforce product-level governance, experimentation guardrails, and vendor standards for security, IP, and bias mitigation in partnership with Legal, Privacy, Security, and HR.

• You will build, mentor, and scale a senior product management team, standardizing product operating models and metrics across regions to support our diverse, global workforce.

• You will translate business outcomes into technically actionable requirements, collaborating with engineering leadership to balance speed, reliability, cost, and technical debt for scalable AI platforms.

What you need

• 10+ years of product management experience, including leadership of senior PMs and management of complex, multi-product portfolios in enterprise environments.

• Experience guiding AI/ML product development, data governance, and roadmap ownership, with measurable success in launching AI solutions for large, multinational organizations.

• Experience partnering with Legal, Privacy, Security, and Compliance to manage AI risk and regulatory compliance, including GDPR and AI Act requirements.

• Bachelor's degree in Computer Science, Engineering, Business, Data Science, or a related field; advanced degree welcomed.

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