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Posthog Jobs in California (NOW HIRING)

career

Marketing Engineer

Mountain View, CA

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 ...

career

Marketing Engineer

Mountain View, CA

$150K - $210K/yr

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 ...

career

Marketing Engineer

Mountain View, CA · On-site

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 ...

AgentMail, Inc

GTM Engineer

San Francisco, CA · On-site

PostHog fluency (we live in it) * You've shipped agentic workflows or internal AI tooling before * You've worked at or studied a technical PLG company up close

The Mortgage Office

Product Designer

Huntington Beach, CA · On-site

$75K - $85K/yr

Evaluate features and user flows through product analytics (Pendo, PostHog, etc.), using task-flow analysis, error rates, and click velocity to find what to fix and validate that shipped work ...

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Lifecycle Marketer

Mountain View, CA · On-site

$21.25/hr

Diagnose the drivers of our current subscriber plateau using Stripe, PostHog, and CRM data, and build the first corrective campaigns within 30 days * Design and ship lifecycle flows that recover ...

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Lifecycle Marketer

Mountain View, CA

$135K - $170K/yr

Diagnose the drivers of our current subscriber plateau using Stripe, PostHog, and CRM data, and build the first corrective campaigns within 30 days * Design and ship lifecycle flows that recover ...

career

Lifecycle Marketer

Mountain View, CA · On-site

$21.25/hr

Diagnose the drivers of our current subscriber plateau using Stripe, PostHog, and CRM data, and build the first corrective campaigns within 30 days * Design and ship lifecycle flows that recover ...

HappyRobot Inc

Growth Engineer

San Francisco, CA · On-site

$150K - $200K/yr

Seamlessly pipe event data and user traits from PostHog and outbound tooling directly down into Salesforce CRM, optimizing API payloads to maintain immaculate CRM data hygiene. * Build and maintain ...

Dust

Growth Engineer

San Francisco, CA · On-site

$100K - $200K/yr

Experience with tools like PostHog, GA4, Segment, Mixpanel, or similar. You've instrumented events, debugged attribution, or built dashboards before. * Autonomous and fast. You thrive in ambiguous ...

cosm

Associate Data Engineer

Los Angeles, CA · On-site

$75K - $90K/yr

Past work with a Product Analytics tool (i.e., PostHog, Mixpanel, etc.) is a plus * Demonstrated drive to learn new concepts The annualized base salary range for this position in California is $75 ...

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Posthog information

What is the difference between Posthog vs Data Analyst?

AspectPosthogData Analyst
Primary RoleProduct analytics and user behavior trackingData interpretation and reporting for business insights
Required SkillsAnalytics tools, SQL, JavaScript, data trackingStatistical analysis, data visualization, reporting
Work EnvironmentTech teams, product developmentBusiness units, marketing, finance
Common CertificationsNone specific, technical proficiency preferredData analysis certifications (e.g., Google Data Analytics)

Posthog focuses on product analytics and tracking user behavior within digital products, often used by technical teams. Data Analysts interpret data to generate business insights, working across various departments. While both roles involve data, Posthog is more technical and product-focused, whereas Data Analysts have a broader business analysis scope.

What are popular job titles related to Posthog jobs in California? For Posthog jobs in California, the most frequently searched job titles are:
What job categories do people searching Posthog jobs in California look for? The top searched job categories for Posthog jobs in California are:
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Infographic showing various Posthog job openings in California as of July 2026, with employment types broken down into 1% Internship, 96% Full Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution.

Marketing Engineer

career

Mountain View, CA

Full-time

Posted 16 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 - $210,000 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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