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Marketing Engineering Jobs (NOW HIRING)

Profound

Marketing Engineer

New York, NY · On-site

$135K - $200K/yr

You are building the engineering layer beneath it all, including autonomous agents, programmatic workflows, real-time data pipelines, and scalable infrastructure that turns marketing into a system.

Lamoreaux Associates

Marketing Coordinator

Cedar City, UT · On-site

$35K - $50K/yr

We are seeking a highly motivated and organized individual to join our team as a Marketing Coordinator for our engineering services firm. The ideal candidate will have excellent communication and ...

Lamoreaux Associates

Marketing Coordinator

Cedar City, UT · On-site

$35K - $50K/yr

We are seeking a highly motivated and organized individual to join our team as a Marketing Coordinator for our engineering services firm. The ideal candidate will have excellent communication and ...

Amphenol TCS

Technical Marketing Engineer

Hampton, NH · On-site

You will work closely with engineering, sales, and marketing to develop materials that explain the value of our products in clear, compelling ways. A key aspect of this role involves creating and ...

WorldWide Electric Corp

Marketing Assistant

Fairport, NY · On-site

$24.78 - $29.84/hr

Coordinate with product managers, engineering, and sales teams to gather technical information ... Organize and maintain marketing files, templates, brand assets, and documentation to ensure ...

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How much do marketing engineering jobs pay per year?

As of Jun 9, 2026, the average yearly pay for marketing engineering in the United States is $139,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $177,000.00 per year, depending on experience, location, and employer.

What is a Marketing Engineering job?

A Marketing Engineering job combines data analysis, technology, and marketing strategy to optimize campaigns and improve customer engagement. Professionals in this role use analytical tools, automation, and machine learning to drive data-driven marketing decisions. They often work with customer data platforms, A/B testing, and digital marketing tools to enhance performance. The goal is to bridge the gap between technical capabilities and marketing objectives to maximize efficiency and ROI.

What are the typical daily responsibilities of someone in a Marketing Engineering role?

A Marketing Engineering professional typically spends their day integrating marketing platforms, developing data pipelines, analyzing campaign data, and creating dashboards to support decision-making. You may work on automating marketing processes, troubleshooting technical issues, and ensuring that data flows seamlessly between various tools and systems. Collaboration is common with both marketing strategists and IT/development teams, which means you’ll be translating business needs into technical requirements and providing actionable insights. This multifaceted role offers a dynamic workday with a blend of coding, analytics, and stakeholder communication.

What are the key skills and qualifications needed to thrive in the Marketing Engineering position, and why are they important?

To thrive as a Marketing Engineering professional, you need strong analytical abilities, a solid grasp of digital marketing concepts, and programming or data engineering skills, often supported by a degree in computer science, marketing, or a related field. Familiarity with tools such as Google Analytics, CRM platforms, marketing automation software, SQL, Python, and data visualization tools is typically required. Creative problem-solving, effective communication, and cross-functional collaboration are crucial soft skills in this role. These competencies enable you to bridge technical and marketing teams, optimize campaigns, and drive data-driven decision-making for impactful results.

More about Marketing Engineering jobs
What cities are hiring for Marketing Engineering jobs? Cities with the most Marketing Engineering job openings:
What are the most commonly searched types of Marketing Engineering jobs? The most popular types of Marketing Engineering jobs are:
What states have the most Marketing Engineering jobs? States with the most job openings for Marketing Engineering jobs include:
What job categories do people searching Marketing Engineering jobs look for? The top searched job categories for Marketing Engineering jobs are:
Marketing Engineering jobs near you
Infographic showing various Marketing Engineering job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $139,395 per year, or $67 per hour.

Product Marketing Engineer

Langfuse GmbH

San Francisco, CA • On-site

Full-time

Posted 11 days ago

Job description

About Langfuse
Open Source LLM Engineering Platform that helps teams build useful AI applications via tracing, evaluation, and prompt management (mission, product). We are now part of ClickHouse.
We're building the "Datadog" of this category; model capabilities continue to improve, but building useful applications is really hard, both in startups and enterprises.
Largest open source solution in this category: trusted by 19 of the Fortune 50, >2k customers, >26M monthly SDK downloads, >6M Docker pulls.
We joined ClickHouse in January 2026 because LLM observability is fundamentally a data problem and Langfuse already ran on ClickHouse. Together we can move faster on product while staying true to open source and self-hosting, and join forces on GTM and sales to accelerate revenue.
Previously backed by Y Combinator, Lightspeed, and General Catalyst.
We're a small, engineering-heavy, and experienced team in Berlin and San Francisco. We are also hiring for engineering in EU timezones and expect one week per month in our Berlin office (how we work).
Workplace: Remote-friendly. European roles are remote-first with one week per month in Berlin. For US candidates, San Francisco is preferred, but we are open to exceptional candidates anywhere in the US.
TL;DR
We are hiring a Product Marketing Engineer who can understand Langfuse deeply, use the product hands-on, and explain it better than anyone else. In many companies, this would also be called a Developer Advocate.
This is a technical product advocacy role. You will write, build demos, improve docs, create launch content, speak at events, organize technical sessions, run product deep dives, explain how AI teams should think about observability/evals/prompt management, and help define how Langfuse shows up in the market.
The best person for this role is an engineer or highly technical product marketer who wants to educate through content. It is a strong plus if you already write publicly, have an audience, contribute to open source, or have original opinions that experienced AI engineers care about.
If you mainly want an events-and-community DevRel role, our Developer Relations Engineer (Events & Community) role is the better fit. This role is closer to the product: you should be technically strong enough to advocate for Langfuse with serious AI engineering teams, explain the details, and turn what you learn from the market back into better product communication.
Why Product Marketing Engineering at Langfuse
Langfuse needs technical product communication that is useful enough for strong engineers. The product sits inside real AI engineering workflows, so the best marketing looks like clear explanations, good demos, runnable examples, honest technical tradeoffs, useful docs, and opinionated launch material.
This role is for someone who wants to live close to the product and the market at the same time. You should be able to understand how a feature works, explain why it matters, build the example that proves it, and turn customer and community questions into better product communication.
What you'll do
  • Become a Langfuse subject matter expert across tracing, evals, prompt management, datasets, metrics, self-hosting, and the broader AI engineering workflow
  • Create product and technical marketing content: blog posts, product deep dives, guides, cookbooks, benchmarks, demos, webpages, docs, conference talks, social posts, launch videos, and more
  • Translate technical features and nuance into clear value propositions that help developers and teams understand why Langfuse matters
  • Work closely with product, engineering, and the ClickHouse product marketing team to launch new capabilities with sharp positioning and useful technical proof
  • Make our documentation, guides, and examples the best in the category
  • Build demo apps, code examples, and workshop material that users can actually run
  • Speak at, organize, and attend high-signal in-person events for AI engineers, including conferences, meetups, workshops, customer sessions, and ClickHouse field moments
  • Turn events into reusable product education: talks, demos, workshop repos, follow-up content, customer questions, sales learnings, and better positioning
  • Help define our content strategy and roadmap based on product priorities, customer questions, community signals, search demand, and what is happening in AI engineering right now
  • Conduct competitive and market analysis across LLM observability, evals, agent observability, prompt management, and related developer tooling
  • Use metrics and feedback to understand what is working, improve what is not, and recommend what we should do next
  • Spend time with users, community members, sales, solutions, and support so our product communication is grounded in real customer problems
What we're looking for
Must
  • You are an engineer, data scientist, developer advocate, product marketing engineer, or technical product marketer who can go deep on the product
  • You have 5+ years of relevant experience across engineering, technical product marketing, DevRel, data science, technical writing, developer tools, or a similar technical field. Exact title matters less than work quality
  • You can write exceptionally well. You make complex technical ideas feel simple without making them shallow
  • You can code enough to build examples, inspect SDKs, understand traces, and be credible with strong engineers
  • You can advocate for a technical product in person and in writing. You are comfortable explaining why something matters, not just how it works
  • You have taste in good content and strong opinions about what makes technical writing useful
  • You can own projects end to end, from messy input to shipped public asset
  • You can collaborate well across product, engineering, marketing, sales, solutions, support, and ClickHouse counterparts
  • You are curious about AI engineering and stay close to what developers are actually building

Extras
  • You already create content: blog posts, videos, talks, social posts, newsletters, docs, open-source examples, or technical explainers
  • You already have an audience, or clear evidence that experienced technical people value your explanations
  • You have worked in engineering, product marketing engineering, DevRel, data infrastructure, observability, databases, AI tooling, or developer tools
  • You are deep in LLM applications, agents, evals, prompt engineering, RAG, or observability
  • You have run benchmarks, written competitive deep dives, or produced opinionated technical market analysis
  • You have spoken at technical events, organized developer events, run workshops, or built community around a technical product
  • You contribute to open-source projects
  • You are comfortable on camera and on stage
  • You know ClickHouse, SQL, analytics systems, or data infrastructure
Our Process
We can run this process quickly when calendars line up.
  1. Fill out application
  2. We screen your application
  3. Screening Call: Quick intro and logistics, remote
  4. Founder Call: Founder / Product Marketing deep dive, 40 min, remote
  5. Deep Dive: Technical product explanation, writing, and demo deep dive, 60 min, remote
  6. Super Day: half or full day with the team, in office when possible, remote in some cases
  7. Meet the other founders, short calls
  8. Decision and offer
Links
  • All repos: https://github.com/langfuse
  • Company handbook: https://langfuse.com/handbook
  • Team: https://langfuse.com/handbook/chapters/team
  • How we hire: https://langfuse.com/handbook/how-we-hire
  • Blog: https://langfuse.com/blog
  • Docs: https://langfuse.com/docs
  • Changelog: https://langfuse.com/changelog
  • Careers: https://langfuse.com/careers/careers
Some technical product marketing work we like
  • Vercel: developer-first product marketing, launch quality, and high-trust content
  • Sentry: developer-first marketing for observability, performance, product launches, and digital conversion
  • ClickHouse: technical product marketing, benchmarks, practitioner-led content, and infrastructure category building
  • Swyx / Latent Space: original market framing, technical taste, and public point of view
  • Simon Willison: technical writing with a clear point of view

Process
We can run the full process to your offer letter in less than 7 days (hiring process).
Tech Stack
We run a TypeScript monorepo: Next.js on the frontend, Express workers for background jobs, PostgreSQL for transactional data, ClickHouse for tracing at scale, S3 for file storage, and Redis for queues and caching. You should be familiar with a good chunk of this, but we trust you'll pick up the rest quickly (Stack, Architecture).
How we ship
Link to handbook
  • We trust you to take ownership (ownership overview) for your area. You identify what to build, propose solutions (RFCs), and ship them. Everyone here thinks about the user experience and the technical implementation at the same time. Everyone manages their own Linear.
  • You're never alone. Anyone from the team is happy to go into a whiteboard session with you. 15 minutes of shared discussion can very much improve the overall output.
  • We implement maker schedule and communication. There are two recurring meetings a week: Monday check-in on priorities (15 min) and a demo session on Fridays (60 min).
  • Code reviews are mentorship. New joiners get all PRs reviewed to learn the codebase, patterns, and how the systems work (onboarding guide).
  • We use AI as much as possible in our workflows to make our users happy. We encourage everyone to experiment with new tooling and AI workflows.

Why Langfuse (now part of ClickHouse)
  • This role puts you at the forefront of the AI revolution, partnering with engineering teams who are building the technology that will define the next decade(s).
  • This is an open-source devtools company. We ship daily, talk to customers constantly, and fight for great DX. Reliability and performance are central requirements.
  • Your work ships under your name. You'll appear on changelog posts for the features you build, and during launch weeks, you'll produce videos to announce what you've shipped to the community. You'll own the full delivery end to end.
  • We're solving hard engineering problems: figuring out which features actually help users improve AI product performance, building SDKs developers love, visualizing data-rich traces, rendering massive LLM prompts and completions efficiently in the UI, and processing terabytes of data per day through our ingestion pipeline.
  • You'll work closely with the ClickHouse team and learn how they build a world-class infrastructure company. We're in a period of strong growth: Langfuse is growing organically and accelerating through ClickHouse's GTM. (Why we joined ClickHouse)
  • If you wonder what to build next, our users are a Slack message or a Github discussions post away.
  • You're on a continuous learning journey. The AI space develops at breakneck speed and our customers are at the forefront. We need to be ready to meet them where they are and deliver the tools they need just-in-time.

Apply