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Martech Engineer Jobs in California (NOW HIRING)

career

Marketing Engineer

Mountain View, CA · On-site

You will write code, build agentic workflows, and integrate our martech stack (Customer.io ... Partner with Developer Relations when a build is interesting enough to become a public case study ...

career

Marketing Engineer

Mountain View, CA

$150K - $175K/yr

You will write code, build agentic workflows, and integrate our martech stack (Customer.io ... Partner with Developer Relations when a build is interesting enough to become a public case study ...

career

Marketing Engineer

Mountain View, CA

You will write code, build agentic workflows, and integrate our martech stack (Customer.io ... Partner with Developer Relations when a build is interesting enough to become a public case study ...

JLL

Staff Software Engineer

San Francisco, CA

About the Role As a Staff Software Engineer on the MarTech Engineering Team, you'll be a forward deployed engineer embedded in the marketing organization, building production AI agents that solve ...

JLL

Senior Software Engineer

San Francisco, CA · Remote

$144K - $190K/yr

About the Role As a Senior Software Engineer on the MarTech Engineering Team, you'll be a forward deployed engineer embedded in the marketing organization, building production AI agents that solve ...

JLL

Senior Software Engineer

San Francisco, CA

$144K - $190K/yr

About the Role As a Staff Software Engineer on the MarTech Engineering Team, you'll be a forward deployed engineer embedded in the marketing organization, building production AI agents that solve ...

Samba

Marketing Engineer

San Francisco, CA · On-site +1

$150K - $180K/yr

WHAT YOU'LL DO Own the martech stack * Own the marketing automation platform end-to-end including ... Engineering ownership of samba.com including performance, AEO/GEO/SEO optimization, accessibility ...

Samba

Marketing Engineer

San Francisco, CA · On-site

$150K - $180K/yr

WHAT YOU'LL DO Own the martech stack * Own the marketing automation platform end-to-end including ... Engineering ownership of samba.com including performance, AEO/GEO/SEO optimization, accessibility ...

Windfall

Solutions Engineer

San Francisco, CA

$150K - $175K/yr

Prior experience in Solution(s) Role or AdTech/MarTech/Data industry * Scrappiness. We don't have ... Technology, Engineering, Math) or another quantitative field * Ability to work in ambiguous ...

Samba

Marketing Engineer

San Francisco, CA · On-site +1

$150K - $180K/yr

WHAT YOU'LL DO Own the martech stack * Own the marketing automation platform end-to-end including ... Engineering ownership of samba.com including performance, AEO/GEO/SEO optimization, accessibility ...

Windfall

Solutions Engineer

San Francisco, CA · On-site

$150K - $175K/yr

Prior experience in Solution(s) Role or AdTech/MarTech/Data industry * Scrappiness. We don't have ... Technology, Engineering, Math) or another quantitative field * Ability to work in ambiguous ...

Windfall

Solutions Engineer

San Francisco, CA · On-site

$150K - $175K/yr

Prior experience in Solution(s) Role or AdTech/MarTech/Data industry * Scrappiness. We don't have ... Technology, Engineering, Math) or another quantitative field * Ability to work in ambiguous ...

Samba

Marketing Engineer

San Francisco, CA · On-site +1

WHAT YOU'LL DO Own the martech stack * Own the marketing automation platform end-to-end including ... Engineering ownership of samba.com including performance, AEO/GEO/SEO optimization, accessibility ...

Coframe

Integrations Engineer

San Francisco, CA · On-site

$180K - $500K/yr

Experience with the MarTech ecosystem and common growth tools * Strong debugging skills across web ... Experience using AI engineering tools to build, maintain, and validate integrations * High ...

Axos Bank

Jr. Personalization Developer

San Diego, CA

$71K - $92K/yr

About This Job Axos Bank is seeking a motivated Junior Martech Personalization Developer to join our growing Enterprise Marketing Technology team. In this role, you will be instrumental in building ...

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All JobsMartech Engineer JobsMartech Engineer Jobs in California

Martech Engineer information

See California salary details

$43.4K

$105K

$171.2K

How much do martech engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for martech engineer in California is $104,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a martech engineer?

A Martech Engineer is a technology professional who specializes in implementing, managing, and optimizing marketing technology systems within an organization. They bridge the gap between marketing and IT by ensuring that marketing platforms, tools, and data integrations work seamlessly together. Martech Engineers help marketers leverage data, automation, and software to create efficient and effective marketing campaigns. Their responsibilities often include managing customer data platforms (CDPs), integrating analytics tools, and supporting marketing automation processes. This role is critical for organizations aiming to maximize the return on investment from their marketing technology stack.

What are the key skills and qualifications needed to thrive as a martech engineer?

To thrive as a Martech Engineer, you need a solid background in web development, data integration, and digital marketing concepts, often supported by a degree in computer science, marketing, or a related field. Expertise with marketing automation platforms (like Salesforce Marketing Cloud or HubSpot), tag management systems, and analytics tools is typically required. Strong problem-solving, communication, and project management skills set standout candidates apart in this role. These skills and qualities are essential for effectively implementing, optimizing, and maintaining marketing technology solutions that drive business growth.

How does a martech engineer typically collaborate with marketing and IT teams to implement new technologies?

A Martech Engineer serves as a bridge between marketing and IT, working closely with both teams to assess business needs and translate them into technical requirements. They often participate in cross-functional meetings to align marketing goals with technology solutions, such as integrating new platforms or optimizing existing tools. Communication is key in this role, as Martech Engineers must ensure that marketing teams understand technical possibilities and limitations while also guiding IT teams on marketing priorities. This collaborative approach helps streamline project timelines and ensures successful technology adoption.

What is the difference between Martech Engineer vs Marketing Automation Specialist?

AspectMartech EngineerMarketing Automation Specialist
CredentialsBachelor's in Marketing, Computer Science, or related field; certifications in marketing technology toolsSimilar credentials; certifications in marketing automation platforms like HubSpot, Marketo
Work EnvironmentTechnical teams, marketing departments, often involved in system integrationsMarketing teams, focusing on campaign automation and lead nurturing
Employer & Industry UsageTech-driven marketing companies, agencies, large enterprisesDigital marketing agencies, in-house marketing teams
Search & Comparison IntentUnderstanding technical roles in marketing tech stackFocus on campaign automation and lead management

The Martech Engineer and Marketing Automation Specialist roles overlap in marketing technology but differ in technical depth and focus. Martech Engineers handle system integrations and technical infrastructure, while Marketing Automation Specialists focus on campaign execution and lead nurturing. Both roles are essential in modern marketing teams, often working together to optimize marketing technology and campaigns.

What are popular job titles related to Martech Engineer jobs in California?

For Martech Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Martech Engineer jobs in California look for?

The top searched job categories for Martech Engineer jobs in California are:

What cities in California are hiring for Martech Engineer jobs?

Cities in California with the most Martech Engineer job openings:

Martech Engineer jobs near you
Infographic showing various Martech Engineer job openings in California as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $104,993 per year, or $50.5 per hour.

Marketing Engineer

career

Mountain View, CA • On-site

Full-time

Re-posted 6 days ago

Job description

AI is the new electricity, transforming every aspect of our lives. DeepLearning.AI is on a mission to empower everyone to build with AI. We offer world-class education, hands-on training, access to AI news, a collaborative community and global in-person conferences.
We are looking for a Marketing Engineer to build the automation and AI-driven tooling that lets a small marketing team operate at the scale our growth goals require. This is a hands-on technical role embedded inside marketing. You will write code, build agentic workflows, and integrate our martech stack (Customer.io, Hootsuite, Stripe, PostHog) so that lifecycle, content, and reporting work that is manual today becomes automated and self-improving.
This role exists because we believe the next unlock for our team isn't more headcount doing manual work - it's state-of-the-art agentic techniques doing the work with just a bit of human involvement. As a natural extension of the work, you'll often be the most credible source on our team for what AI tooling can actually do today, which gives us a built-in story for our own content.
You will report to the Head of Marketing and work in an office collaborating with some of the most forward-thinking AI engineers building the next generation of technology.
What You Will Do
Automation & Agentic Tooling
  • Design and build agentic workflows that automate lifecycle triggers, campaign QA, segmentation logic, and reporting that the team currently does by hand
  • Identify which marketing workflows are highest-leverage to automate first, in partnership with the Lifecycle Marketing Manager and Marketing Operations Coordinator
  • Build internal tools that let non-technical marketers configure and launch automations without engineering support
  • Continuously evaluate new agentic and AI tooling (Claude, other LLM APIs, automation platforms) and prototype how it applies to our specific funnel problems

MarTech Integration
  • Own the technical integration layer between Customer.io, Stripe, PostHog, our platform's event data and any other tools we might use, so lifecycle triggers fire on accurate, real-time data
  • Support various platform and data migrations with scripting, platform expansions, and workflow recreation as needed
  • Build and maintain the data pipelines that feed our Metabase dashboard, partnering with Data Engineering to close our current LTV and cohort data gaps
  • Set up and maintain UTM, tracking, and attribution infrastructure so channel performance data is trustworthy

Experimentation Infrastructure
  • Build the technical infrastructure for A/B testing across lifecycle, email, and on-platform messaging, so the Lifecycle Marketing Manager and PMM team can test rigorously without engineering as a bottleneck
  • Build self-serve reporting tools that let marketing stakeholders answer their own data questions without filing a ticket

Dogfood & Content (Secondary)
  • Where it's a natural byproduct of the automation work, document exciting or interesting builds for use in our content across our newsletters, YouTube accounts, events, or technical blogs. Note this supports the content engine but is not a primary deliverable or goal.
  • Partner with Developer Relations when a build is interesting enough to become a public case study or tutorial

What You Bring
Required
  • AI-native, default to using AI-assisted coding and building automations in everything you do. Appetite, passion for and proven record of learning and experimenting with the newest AI engineering best practices.
  • A minimum of 3 years experience as a software engineer, with at least 1-2 years applying that experience to marketing, growth, or RevOps problems
  • Hands-on experience building with LLM APIs (Claude, OpenAI, or similar) and agentic workflows or tool-use patterns
  • Strong scripting and integration skills (Python or JavaScript/Node) and comfort working with REST APIs and webhooks
  • Experience integrating or building on top of a CRM or marketing automation platform (Customer.io, HubSpot, Braze, or similar)
  • Working knowledge of SQL and comfort building or maintaining data pipelines
  • Experience with event tracking and analytics tools (PostHog, Amplitude, Segment, or similar)
  • Ability to translate a marketer's manual, repetitive workflow into a clear technical specification, and ship it without heavy oversight

Nice to Have
  • Experience with Stripe or other subscription billing APIs
  • Familiarity with Customer.io, Hootsuite, or Metabase specifically
  • Experience writing technical content or documentation aimed at a developer audience
  • Background in growth engineering, marketing ops engineering, or a similar hybrid role
  • Familiarity with the AI/ML or technical education landscape

What Success Looks Like
In your first 30 days, you will have mapped our current martech stack and identified the highest-leverage manual workflow to automate first, plus you will have shipped your first automation into production, with a measurable reduction in manual work for the team and a documented build that can double as content. In 6 months, you will have built a durable automation layer across multiple marketing functions, established yourself as the team's go-to technical partner, and helped the team operate well beyond what its headcount alone would suggest is possible.
At DeepLearning.AI, we are committed to fostering a workplace of mutual respect and equal opportunity. We hire based on qualifications, merit, and business needs, without discrimination on any characteristic - whether protected by applicable laws or not. Our goal is to attract, recruit, develop, and retain the best talent from a diverse candidate pool.
$150,000 - $175,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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