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Internal Tools Engineer Jobs in California (NOW HIRING)

Naughty Dog

Web Tools Programmer

Santa Monica, CA · On-site

$141K - $176K/yr

As a Web Tools Programmer, you will have total project ownership, including the development and ... Design and maintain databases (relational, document, and cache stores) that support internal tools ...

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Internal Tools Engineer information

How does an internal tools engineer typically collaborate with other departments within a company?

Internal Tools Engineers frequently work closely with teams such as product management, customer support, operations, and engineering to identify pain points and streamline workflows. They gather requirements through regular meetings, prioritize feature requests, and provide technical support for the tools they build and maintain. This cross-functional collaboration is essential for ensuring that internal solutions are both effective and user-friendly, allowing departments to operate more efficiently and focus on their core objectives.

What is the difference between Internal Tools Engineer vs Software Engineer?

AspectInternal Tools EngineerSoftware Engineer
CredentialsBachelor's in CS or related field, sometimes specialized certificationsBachelor's in CS or related field, often similar certifications
Work EnvironmentFocus on building and maintaining internal tools, dashboards, automationDevelops a wide range of applications, including customer-facing products
Industry UsageCommon in tech companies, startups, and large enterprisesUniversal across all tech sectors and industries
Search IntentLooking for roles focused on internal tools and automationSeeking general software development roles

Internal Tools Engineers specialize in creating and maintaining tools that improve internal workflows, whereas Software Engineers develop a broader range of applications, including customer-facing products. Both roles require similar technical skills and often overlap, but their focus areas differ significantly.

What does an internal tools engineer do?

An Internal Tools Engineer designs, builds, and maintains software tools and systems that help other employees within a company work more efficiently. These tools can range from automation scripts and dashboards to complex internal applications used across departments. The primary goal is to streamline workflows, reduce repetitive tasks, and improve productivity for teams like engineering, operations, support, and more. Internal Tools Engineers collaborate closely with stakeholders to understand their needs and create technical solutions that solve real business problems.

What are the key skills and qualifications needed to thrive as an internal tools engineer?

To thrive as an Internal Tools Engineer, you need strong programming skills (commonly in Python, JavaScript, or Java), experience with software development lifecycle, and a degree in computer science or a related field. Familiarity with internal platforms, automation tools, version control systems like Git, and CI/CD pipelines is often required. Excellent problem-solving, collaboration, and communication skills help you understand user needs and work effectively across teams. These competencies are crucial for developing efficient, user-friendly internal solutions that boost organizational productivity and streamline workflows.
What are popular job titles related to Internal Tools Engineer jobs in California? For Internal Tools Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Internal Tools Engineer jobs in California look for? The top searched job categories for Internal Tools Engineer jobs in California are:
What cities in California are hiring for Internal Tools Engineer jobs? Cities in California with the most Internal Tools Engineer job openings:
Internal Tools Engineer jobs near you
Infographic showing various Internal Tools Engineer job openings in California as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Internal Tools & Data Product Analyst

Lambda

San Francisco, CA • On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.
As companies scale, the gap between what leadership needs to see and what teams can easily report grows - dashboards get built by hand, workflows stay stuck in spreadsheets, and requests for better tooling pile up faster than they get solved. This role exists to close that gap: turning manual reporting into trusted, self-serve data products, finding and fixing the workflows costing teams the most time, and helping make sure the highest-impact tooling requests actually get built.
About This Role
The Internal Tools & Data Product Analyst partners with business teams to find where manual work, inconsistent data, or missing tooling is slowing things down, and helps turn that into a shipped fix. This might mean defining what a metric actually means and getting a dashboard built around it, helping retire a spreadsheet-driven process that shouldn't exist anymore, or helping triage and prioritize a backlog of tool requests. Some of this gets shipped directly - lightweight builds, AI-assisted coding - and the rest gets scoped into a clear spec and handed to an engineering partner.
What You'll Do
Data Products & Reporting
  • Partner with business stakeholders to help define what key metrics actually mean, and support getting agreement on a single trusted source for each one.
  • Contribute to requirements for turning manually-built, inconsistent reporting into live, self-serve dashboards suitable for execs - including how someone drills from a summary number into the underlying detail.
  • Help prioritize which reports or metrics get automated first, based on how manual, stale, or error-prone they are today.

Workflow Automation
  • Identify manual, spreadsheet-driven work worth automating, and help see the fix through end to end.
  • Scope each fix and help decide what to build directly (lightweight scripting, no-code tools, AI-assisted coding) versus what needs a full engineering build.
  • Write clear, engineering-ready specs for anything handed off to a technical partner.
  • Identify and document places where an AI agent or automation could replace manual coordination, feeding the broader automation roadmap.

Intake & Prioritization
  • Support the tool-request pipeline: help collect requests, triage them, and prioritize based on impact versus effort.
  • Help maintain a visible roadmap so stakeholders understand what's coming next and why.
  • Build relationships with the teams you support so priorities stay grounded in what they actually need.

SUCCESS PROFILE
Measures of Success
Success is measured by:
  • Reduction in manual, spreadsheet-driven work across supported teams
  • Dashboard/reporting trust and adoption
  • A tool-request pipeline that is visible, current, and trusted by stakeholders
  • Time saved per reporting or workflow cycle

You
  • Early-career product, business operations, analytics, or technical program management experience
  • Comfort working directly with data, spreadsheets, and lightweight tooling (SQL, no-code platforms, AI coding assistants)
  • Some exposure to designing a workflow or tool from the end user's point of view, not just the data behind it
  • A track record of shipping something - a tool, a process fix, an internal script - rather than only recommending one

Core Competencies
  • End-user experience judgment: can tell the difference between a technically correct dashboard/tool and one people will actually use
  • Prioritization: can weigh impact against effort across a noisy backlog
  • Lightweight execution: comfortable using AI-assisted coding tools to ship small things directly
  • Cross-functional relationship building
  • Clear written communication (specs, roadmaps, requirements)

Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
  • Founded in 2012, with 500+ employees, and growing fast
  • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Our values are publicly available: https://lambda.ai/careers
  • We offer generous cash & equity compensation
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible paid time off plan that we all actually use

Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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