Engineering Manager Jobs in Mountain View, CA
Engineering Manager jobs in Mountain View are concentrated in the Castro Street corridor, the Middlefield Road tech cluster, and the North Bayshore district, where employers across enterprise software, semiconductors, and AI infrastructure are actively hiring. Companies currently posting openings include Google, Databricks, and General Motors. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 778+ Engineering Manager jobs
P-1110
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. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
We are the Lakeflow Engineering team, responsible for Databricks ETL product line such as Spark Declarative Pipelines, Structured Streaming, and Ingestion. We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers.
We're seeking a dedicated Engineering Leader to spearhead the Materialized Views engineering team. The team is responsible for building next generation Materialized View features for both ETL workloads and for query acceleration.
The main responsibilities include:
- You will lead an engineering team building the next-generation Materialized View features for the Databricks Lakeflow platform.
You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team.
You will build processes to implement product vision and strategy, according to organizational goals and priorities.
You will build software that is not just high quality but easy to operate.
What we look for:
- Minimum 3 years of experience in managing top-tier engineering teams
- 5+ years experience building data infrastructure systems such as Apache Spark™ or database internals.
- A passion for database systems, storage systems, distributed systems, or performance optimization
- Experience working with product management, and directly with customers; ability to understand customer needs.
- Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and Service Level Agreements of a product. Experience building and managing teams in a complex technical domain, such as on distributed data systems or database internals.
- Expertise in attracting, hiring and coaching engineers, who will meet the Databricks hiring standards. Experience up-leveling teams via hiring top-notch talent and growing existing team members.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
P-1110
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. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
We are the Lakeflow Engineering team, responsible for Databricks ETL product line such as Spark Declarative Pipelines, Structured Streaming, and Ingestion. We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers.
We're seeking a dedicated Engineering Leader to spearhead the Materialized Views engineering team. The team is responsible for building next generation Materialized View features for both ETL workloads and for query acceleration.
The main responsibilities include:
- You will lead an engineering team building the next-generation Materialized View features for the Databricks Lakeflow platform.
You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team.
You will build processes to implement product vision and strategy, according to organizational goals and priorities.
You will build software that is not just high quality but easy to operate.
What we look for:
- Minimum 3 years of experience in managing top-tier engineering teams
- 5+ years experience building data infrastructure systems such as Apache Spark™ or database internals.
- A passion for database systems, storage systems, distributed systems, or performance optimization
- Experience working with product management, and directly with customers; ability to understand customer needs.
- Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and Service Level Agreements of a product. Experience building and managing teams in a complex technical domain, such as on distributed data systems or database internals.
- Expertise in attracting, hiring and coaching engineers, who will meet the Databricks hiring standards. Experience up-leveling teams via hiring top-notch talent and growing existing team members.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Find Engineering Manager JobsEngineering Manager Job Market in Mountain View
Who's Hiring
- Google328
- Databricks246
- General Motors82
- EarnIn41
- Intuit41
Top Industries Hiring
- Automotive82
- Technology & Software82
- Electronics & Hardware82
- Banking & Financial Services82
Engineering Manager Jobs in Mountain View: Frequently Asked Questions
How do I get a engineering manager job in Mountain View?
The strongest path in Mountain View is a background in software engineering or hardware development paired with two or more years of direct team leadership. Employers in the North Bayshore and Castro Street corridors prioritize candidates who have shipped products at scale and can demonstrate cross-functional coordination. Familiarity with agile delivery, headcount planning, and performance management gives applicants a clear edge in this market.
Which companies hire engineering managers in Mountain View?
Companies currently hiring engineering managers in Mountain View include Google, Databricks, and General Motors, per current listings on Migrate Mate as of August 2026. Mountain View's employer base skews toward established technology companies and well-funded growth-stage startups, many of them headquartered in the Middlefield Road and North Bayshore areas.
Are there remote engineering manager jobs in Mountain View?
Yes, though engineering manager roles are less remote-friendly than individual contributor positions because the work centers on team coaching, in-person design reviews, and on-site stakeholder meetings. About 50% of engineering manager openings tied to Mountain View are remote or hybrid as of August 2026, with hybrid arrangements most common at larger tech employers in the North Bayshore district. Fully remote roles tend to appear at companies with distributed engineering organizations.
How can I get a engineering manager job in Mountain View with little or no experience?
The most realistic entry point is a senior individual contributor role at a Mountain View technology company, then a lateral move into a team lead or staff engineer position before stepping into formal management. Growth-stage startups on Middlefield Road and in the Castro Street corridor often promote technical leads into engineering manager roles faster than large established employers. Building a record of mentoring junior engineers and owning delivery timelines strengthens a case for that first management title.
Which industries hire the most engineering managers in Mountain View?
Most engineering manager openings in Mountain View sit in Automotive, Technology & Software, and Electronics & Hardware, per current listings on Migrate Mate as of August 2026. Mountain View's position at the center of Silicon Valley means those sectors are anchored by both multinational headquarters and fast-growing product companies, sustaining consistent demand for managers who can scale engineering teams.
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