Mountain View, California, United States · On-site
$156k–$236k/yr
Senior$459M raised
About Coursera + Udemy Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 …
About the role Muon seeks a Senior Camera Systems Engineer to join our team in Mountain View, CA developing infrared remote sensing instruments. The ideal candidate is a self-motivated engineer with a versatile skill set…
Skills: Infrared Remote Sensing, Camera Subsystem Development, Technical Specifications, Interface Control Documents, Vendor Technical Management
Mountain View, California, United States · On-site
$262k–$364k/yr
Senior+$26M raised
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 2 years of experience with applied ML and GenAI/agentic systems. Experience in building, produc…
Skills: Software Development, Machine Learning, GenAI, Agentic Systems, Video Generation
Staff Software Engineer – Genie One Mobile & Desktop
Mountain View, California, United States · On-site
$190k–$261k/yr
Senior+$32B raised
RDQ427R463 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems—from making the next mode of transportation a reality to accelerating the development of medical breakthroughs.…
Skills: JavaScript, TypeScript, React, Mobile Development, Desktop Application Development
Mountain View, California, United States · On-site
$207k–$300k/yr
Senior$26M raised
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products, and 3 years of experience with …
Skills: Software development, Software architecture, Machine learning, Large language models, Agentic systems
About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our…
Skills: AI Operations, Quality Assurance, SOP Development, Data Analysis, Performance Metrics
Mountain View, California, United States · On-site
$190k–$238k/yr
Senior+$32B raised
RDQ427R123 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthrough…
Business Data Scientist, Applied Machine Learning, GCS
Mountain View, California, United States · On-site
$138k–$197k/yr
Mid level$26M raised
Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 3 years of experience using analytics to solve product or business probl…
Mountain View, California, United States · On-site
$174k–$252k/yr
Senior$26M raised
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 2 years of experience in large language model (LLM) mode…
Skills: Software Development, Large Language Models, Generative AI, Machine Learning, Pre-training
Mountain View, California, United States · On-site
$147k–$210k/yr
Mid level$26M raised
Minimum qualifications: PhD in Computer Science, a related field, or equivalent practical experience. Experience working on modern large language model post-training (e.g., supervised fine-tuning, RLHF) or core generativ…
Skills: Large language models, Generative AI, Machine learning, Deep learning, Supervised fine-tuning
Mountain View, California, United States · On-site
$147k–$210k/yr
Mid level$26M raised
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Experie…
Staff Research Data Scientist, Search Ads in AI Experiences
Mountain View, California, United States · On-site
$207k–$300k/yr
Senior+$26M raised
Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 8 years of work experience using analytics to solve…
Skills: Python, R, SQL, Data analysis, Statistical analysis
Senior Finance Manager, Google One, AI Subscriptions, Go-To-Market
Mountain View, California, United States · On-site
$219k–$305k/yr
Senior+$26M raised
Minimum qualifications: Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience. 14 years of experience in financial planning and analysis (FP&A), …
Senior Staff Research Data Scientist, Search Ads in AI Experiences
Mountain View, California, United States · On-site
$262k–$364k/yr
Senior+$26M raised
Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 10 years of work experience using analytics to solv…
Skills: Python, R, SQL, Data Analysis, Statistical Analysis
Mountain View, California, United States · On-site
$207k–$300k/yr
Senior+$26M raised
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplica…
Software Engineer III, Generative AI, Search AI Labs
Mountain View, California, United States · On-site
$147k–$210k/yr
Mid level$26M raised
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Senior Product Manager, AI Trust and Safety, Google Search, Anti-Abuse
Mountain View, California, United States · On-site
$192k–$278k/yr
Senior$26M raised
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Skills: Product management, Trust and safety, Anti-abuse, Machine learning, Generative AI
Tech Lead Manager, Google Analytics Gold Processing Backend
Mountain View, California, United States · On-site
$207k–$300k/yr
Senior+$26M raised
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Skills: C++, Distributed systems, Infrastructure development, Data structures, Algorithms
Software Engineer III, AI/ML, Keywordless Search Ads
Mountain View, California, United States · On-site
$147k–$210k/yr
Mid level$26M raised
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience programming in Python or C++. 1 year of experience with one or more of the following: generative AI, reinforcement learn…
Skills: Python, C++, Generative AI, Reinforcement Learning, Large Language Modeling
Product Strategy and Operations Senior Associate, Executive and Strategic Engagements, Google for Education
Mountain View, California, United States · On-site
$126k–$180k/yr
Mid level$26M raised
Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in management consulting, product management and strategy, or analytics in a technology company. Experience working with…
Skills: Management Consulting, Product Management, Data Analysis, SQL, R
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$156k–$236k/yr
Full-time
bachelor degree
Health insurance, Wellness benefits, Bonus program, RSU equity program, Global perks
Posted 2d ago
~40 hrs/week
Responsibilities
You will define the strategic vision for Coursera's search experience, leveraging AI and machine learning to create a personalized and seamless discovery journey for learners. Additionally, you will collaborate with cross-functional teams to execute the product roadmap, conduct rapid experimentation, and drive key performance indicators related to conversion and revenue.
Requirements
The role requires at least 5 years of product management experience, including 2 years specifically focused on search, personalization, or recommendation features. Candidates must demonstrate a track record of delivering complex consumer-facing products and possess strong skills in quantitative and qualitative research methods.
Full job description
About Coursera + Udemy
Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog.
Why join us now?
AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.
Shape what comes next
By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.
About this role: In this pivotal role, you will set the strategic vision for Coursera's search experience across our diverse product suite by working collaboratively with cross-functional teams to ensure a seamless, personalized and ML/AI driven learner experience. The best candidates are extremely hands‑on, obsessed with the learner journey, and opinionated about how AI can make finding the right course, credential, or skill path effortless for a global, multilingual audience.
You will collaborate with engineering, design, research, data science, ML, and university partnership teams to contribute to the development of your product roadmap. You will be in close collaboration with marketing, partnership managers, and growth product teams to ensure the successful growth of the product.
About your skills: You've built consumer products at scale - ideally high‑intent search or marketplace experiences and deeply understand what makes discovery intuitive, trustworthy, and indispensable. You've shipped experiences people love and return to. You bring an "owner" mindset: biased toward action, a great collaborator, a master simplifier, and someone who pushes towards clarity and delivery. You are user-first, understand and speak in terms of user value propositions, and creatively inspire users to try the product. You hold a high bar across the board - from your own contributions to the people you work with, to the products you work on.
What you'll be doing: Set the vision for next-generation capabilities that help users discover the right learning content by creating a compelling, hyper-relevant and personalized search experience Own conversational search across Coursera, working with other product teams to ensure a seamless and integrated AI experience for learners throughout the learner journey Improve the accuracy of search results through innovative tactics, leveraging advances in IR/ML, embeddings, and LLMs to improve query understanding, semantic and multilingual search, personalized ranking, and much more Employ rapid experimentation techniques to understand evolving market trends, user behaviors, and potential opportunities Utilize market trends and competitor analysis to identify opportunities for revenue growth and innovative ways to personalize the learner experience Define and track key performance indicators (KPIs) to measure the effectiveness of conversion and merchandising efforts to make data-driven recommendations for continuous improvement Work closely with Marketing and other Product teams to align conversion strategies with overall business objectives and revenue targets
Qualifications: 5+ years of product management experience with direct responsibility over the success of a consumer-facing product and driving revenue 2+ years of PM experience working on search, personalization, or recommendation features Proven track record of successfully delivering complex and impactful product initiatives from ideation to launch Experience using a combination of quantitative (A/B testing and multivariate experimentation) as well as qualitative research methods to prioritize and validate ideas Demonstrated ability to influence and inspire cross-functional teams through communication and collaboration Direct experience in scaling platform-level capabilities that serve multiple use cases • 4+ years in a product team at a large ecommerce company (preferred) 0-to-1 experience taking products from idea to launch, with proven results post-launch (preferred) Bachelor's degree in a technical or relevant field (preferred)
Compensation At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are. Zone 1: $188,400 - $235,500 Zone 2: $182,400 - $228,000 Zone 3: $167,200 - $209,000 Zone 4: $156,000 - $195,000
US Pay Zones: US-Z1: Bay Area (within 75 miles) US-Z2: NYC and Seattle Metro (within 75 miles) US-Z3: CA, WA, NY, NJ, CO, CT, DC, GA, IL, MA, MD, OR, RI, TX, VA US-Z4: AK, AZ, DE, FL, HI, ID, IN, IA, KS, KY, MI, MN, MO, MT, NC, NV, NH, OH, OK, PA, SC, TN, UT, VT, WI
To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.
Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at [email protected].
Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Today, it is one of the largest online learning platforms in the world, with 197 million registered learners as of December 31, 2025. Coursera partners with over 375 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including generative AI-powered features like Coach, Role Play, and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp.
Offices: 381 East Evelyn Ave, Mountain View, CA 94041, US · 119 W 24th St, New York, New York 10011, US · SCO 57, Sector 29, Gurgaon, Haryana 122001, IN · 256-260 Old Street, 5th floor, London, London EC1V 9DD, GB
How much do Data & Analytics jobs in Mountain View, CA pay?
Based on 633 listings with disclosed salaries, most data & analytics jobs in Mountain View, CA pay between $140k–$293k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Mountain View, CA right now?
There are currently 700 open data & analytics positions in Mountain View, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Mountain View, CA?
Companies currently hiring include Google, LinkedIn, Databricks, ServiceNow, NewsBreak, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Mountain View, CA?
Yes — 210 of the 700 open data & analytics positions offer remote or hybrid work (27 remote, 183 hybrid).
How do I apply for Data & Analytics jobs in Mountain View, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.