Growth Jobs in Mountain View, CA
Growth jobs in Mountain View are concentrated along Castro Street, the San Antonio Road corridor, and the Caltrain-adjacent tech campuses, where demand runs deep in SaaS, consumer internet, and hardware. Employers hiring right now include Google, Intuit, and Newsbreak. See the openings below and apply to the ones that match your experience.
Find Growth JobsOverview
Showing 4 of 636+ Growth jobs
Overview
The Global Business Solutions Group (GBSG) Product Growth team is dedicated to accelerating business outcomes through a data-driven, product-led approach to growth. We leverage Product-Led Growth tactics, scalable growth loops, and rigorous experimentation to uncover and amplify the highest-impact opportunities across the product ecosystem. Our team unites exceptional talent across disciplines to execute rapid tests, conduct deep analytics, and foster cross-functional collaboration that drives both customer value and business performance.
As a Senior Staff Data Scientist, you will operate as a senior individual contributor, partnering closely with peers and leaders to identify, validate, and refine innovative growth strategies. Your expertise will be instrumental in surfacing critical insights and translating them into actionable hypotheses that fuel sustained customer and revenue growth.
Responsibilities
Set Technical Vision and Strategy:
- Contribute to and help refine a data science roadmap aimed at driving product funnel optimization and scalable growth initiatives.
- Apply rigorous causal inference methods, advanced statistical modeling, and machine learning techniques to turn complex data into actionable insights.
Drive Deep Analytics & Experimentation:
- Develop an integrated view of the customer journey across various business metrics, quickly familiarizing yourself with new areas to pinpoint growth opportunities.
- Design, implement, and analyze targeted experiments to validate hypotheses, ensuring each initiative is built on data-driven insights and sound causal analysis.
Collaborate Across Functions:
- Work closely with Product, Engineering, Design, and other cross-functional teams to translate data insights into strategic product enhancements.
- Support ongoing improvements in instrumentation, data quality, and logging practices to enrich our analytical capabilities and understanding of customer behavior.
Lead by Example:
- Serve as a technical leader within the Product Growth team, championing analytical rigor and innovative problem-solving approaches.
- Mentor and collaborate with colleagues by sharing best practices in causal inference and advanced analytics, thereby strengthening our overall growth framework.
Operate with Agility and Impact:
- Rapidly assimilate diverse business metrics and data sources to uncover insights and propose high-impact hypotheses.
- Balance rigorous technical analysis with swift, iterative execution to ensure that insights are quickly transformed into effective strategies.
Qualifications
Experience & Expertise:
- 8+ years of experience in data science or analytics, with a proven record of applying advanced analytical methods to drive product and business growth.
- Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design.
Technical Proficiency:
- Advanced skills in SQL, Python, R, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Power BI) to communicate insights.
- Experience with data integration and pipeline development is a plus.
Cross-Functional Collaboration & Leadership:
- Strong ability to quickly understand new business areas, mastering the essential data and metrics needed for informed decision-making.
- Excellent communication and storytelling skills, with a track record of effectively influencing both technical and non-technical stakeholders through data-driven insights.
Mindset & Attributes:
- A relentless focus on customer centricity, with deep empathy and a commitment to uncovering opportunities that improve customer experiences.
- An agile, entrepreneurial mindset, capable of balancing long-term strategic initiatives with rapid, iterative experimentation.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
Mountain View $210,500 - $284,500
Overview
The Global Business Solutions Group (GBSG) Product Growth team is dedicated to accelerating business outcomes through a data-driven, product-led approach to growth. We leverage Product-Led Growth tactics, scalable growth loops, and rigorous experimentation to uncover and amplify the highest-impact opportunities across the product ecosystem. Our team unites exceptional talent across disciplines to execute rapid tests, conduct deep analytics, and foster cross-functional collaboration that drives both customer value and business performance.
As a Senior Staff Data Scientist, you will operate as a senior individual contributor, partnering closely with peers and leaders to identify, validate, and refine innovative growth strategies. Your expertise will be instrumental in surfacing critical insights and translating them into actionable hypotheses that fuel sustained customer and revenue growth.
Responsibilities
Set Technical Vision and Strategy:
- Contribute to and help refine a data science roadmap aimed at driving product funnel optimization and scalable growth initiatives.
- Apply rigorous causal inference methods, advanced statistical modeling, and machine learning techniques to turn complex data into actionable insights.
Drive Deep Analytics & Experimentation:
- Develop an integrated view of the customer journey across various business metrics, quickly familiarizing yourself with new areas to pinpoint growth opportunities.
- Design, implement, and analyze targeted experiments to validate hypotheses, ensuring each initiative is built on data-driven insights and sound causal analysis.
Collaborate Across Functions:
- Work closely with Product, Engineering, Design, and other cross-functional teams to translate data insights into strategic product enhancements.
- Support ongoing improvements in instrumentation, data quality, and logging practices to enrich our analytical capabilities and understanding of customer behavior.
Lead by Example:
- Serve as a technical leader within the Product Growth team, championing analytical rigor and innovative problem-solving approaches.
- Mentor and collaborate with colleagues by sharing best practices in causal inference and advanced analytics, thereby strengthening our overall growth framework.
Operate with Agility and Impact:
- Rapidly assimilate diverse business metrics and data sources to uncover insights and propose high-impact hypotheses.
- Balance rigorous technical analysis with swift, iterative execution to ensure that insights are quickly transformed into effective strategies.
Qualifications
Experience & Expertise:
- 8+ years of experience in data science or analytics, with a proven record of applying advanced analytical methods to drive product and business growth.
- Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design.
Technical Proficiency:
- Advanced skills in SQL, Python, R, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Power BI) to communicate insights.
- Experience with data integration and pipeline development is a plus.
Cross-Functional Collaboration & Leadership:
- Strong ability to quickly understand new business areas, mastering the essential data and metrics needed for informed decision-making.
- Excellent communication and storytelling skills, with a track record of effectively influencing both technical and non-technical stakeholders through data-driven insights.
Mindset & Attributes:
- A relentless focus on customer centricity, with deep empathy and a commitment to uncovering opportunities that improve customer experiences.
- An agile, entrepreneurial mindset, capable of balancing long-term strategic initiatives with rapid, iterative experimentation.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
Mountain View $210,500 - $284,500
See All 636+ Growth Jobs in Mountain View
Find roles in Mountain View that match your experience and apply in just a few clicks.
Find Growth JobsGrowth Job Market in Mountain View
Who's Hiring
- Google179
- Intuit159
- Newsbreak159
- Microsoft40
- Commure20
Top Industries Hiring
- Technology & Software
Growth Jobs in Mountain View: Frequently Asked Questions
How do I get a growth job in Mountain View?
Targeting Mountain View specifically means focusing on the SaaS, consumer internet, and hardware companies clustered around Castro Street and the North Bayshore area. Growth roles here lean toward product-led and data-driven work, so candidates with hands-on experience in funnel optimization, lifecycle marketing, or experimentation frameworks stand out. Networking through local product and growth meetups in the broader South Bay also helps build the connections that surface roles before they're widely posted.
Which companies hire growths in Mountain View?
Employers hiring growths in Mountain View right now include Google, Intuit, and Newsbreak, based on current listings on Migrate Mate as of September 2026. Mountain View's employer mix skews toward mid-stage and mature tech companies, meaning growth candidates often find roles with real budget, cross-functional access, and established data infrastructure to work with.
Are there remote growth jobs in Mountain View?
Yes, though it depends heavily on the role. Analytical and strategic growth work, such as experimentation, lifecycle marketing, and growth analytics, tends to be remote-friendly, while roles tied to on-site experimentation or close product collaboration often require in-person presence. About 67% of growth openings tied to Mountain View are remote or hybrid as of September 2026. Hybrid arrangements anchored to Mountain View's tech campuses are the most common setup for senior growth roles in the area.
How can I get a growth job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is through a growth or marketing operations coordinator role at a mid-stage startup, where smaller teams mean broader exposure early on. Mountain View's density of Series B and Series C companies means entry-level candidates who can show analytical fluency, even through side projects or internships, get genuine consideration. Lateral moves from product management, data analytics, or performance marketing are also common ways candidates break into dedicated growth roles at local tech employers.
Which industries hire the most growths in Mountain View?
Most growth openings in Mountain View sit in Technology & Software, per current listings on Migrate Mate as of September 2026. Mountain View's identity as a hub for established platform companies and well-funded startups means those sectors drive consistent, year-round demand for growth talent at multiple seniority levels.
Related Jobs in California
See All 636+ Growth Jobs in Mountain View
Find roles in Mountain View that match your experience and apply in just a few clicks.
Find Growth Jobs