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Product Marketing Engineer Jobs (NOW HIRING)

OMNIVISION

Product Marketing Engineer

Santa Clara, CA · On-site

$110K - $140K/yr

Description OMNIVISION is looking for a Product Marketing Engineer who will define CMOS image sensor products based on security market requirements. This individual will manage and promote OVT ...

Axcelis

Product Marketing Engineer

Beverly, MA

$137K - $206K/yr

Senior Product Marketing Engineer Curious about how far your intellectual drive can take you? Are you energized by the fast pace of the semiconductor industry and eager to help shape the future of ...

OMNIVISION

Product Marketing Engineer

Santa Clara, CA · On-site

OMNIVISION is looking for a Product Marketing Engineer who will define CMOS image sensor products based on security market requirements. This individual will manage and promote OVT products to ...

OMNIVISION

Product Marketing Engineer

Santa Clara, CA

$110K - $140K/yr

OMNIVISION is looking for a Product Marketing Engineer who will define CMOS image sensor products based on security market requirements. This individual will manage and promote OVT products to ...

Diodes Inc

Product Marketing Engineer

Plano, TX · On-site

Job Title Product Marketing Engineer Location Plano, TX - Onsite About the Role Power Management Product Division Product Marketing Engineer for Isolation Products * Isolation product is one of the ...

Teledyne

Product Marketing Engineer

Chestnut Ridge, NY

$96K - $128K/yr

We are seeking a Product Marketing Engineer to support - and over time, help guide - our Time Domain Reflectometer (TDR) and Arbitrary Waveform Generator (AWG) product lines. These product families ...

DSJ Global

Product Marketing Engineer

Ayer, MA · Hybrid

This is an ideal opportunity for an engineer looking to transition into product marketing, sales engineering, or business development while staying close to the technology. What You'll Be Doing

OMNIVISION

Product Marketing Engineer

Santa Clara, CA · Remote

Master's degree in Electrical Engineering, Computer Engineering, or a closely related field and 6 months of experience in product marketing. The experience shall include: • The integration, testing ...

OMNIVISION

Product Marketing Engineer

Santa Clara, CA · Remote

$139K - $145K/yr

Master's degree in Electrical Engineering, Computer Engineering, or a closely related field and 6 months of experience in product marketing. The experience shall include: • The integration, testing ...

OMNIVISION

Product Marketing Engineer

Santa Clara, CA · On-site

$139K - $145K/yr

Master's degree in Electrical Engineering, Computer Engineering, or a closely related field and 6 months of experience in product marketing. The experience shall include: • The integration, testing ...

Vishay

Product Marketing Engineer

Yankton, SD

Do you want to help us build the DNA of tech? Vishay, Yankton, SD, is currently seeking a full-timeProduct Marketing Engineer.This position is responsible for endtoend technical product marketing for ...

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Product Marketing Engineer information

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$84K

$119.4K

$163.5K

How much do product marketing engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for product marketing engineer in the United States is $119,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What is the difference between Product Marketing Engineer vs Product Marketing Manager?

AspectProduct Marketing EngineerProduct Marketing Manager
Primary FocusTechnical product positioning, product demos, and supporting sales with technical contentMarket strategy, messaging, and overall product positioning
Required SkillsTechnical knowledge, communication, product expertiseMarket research, strategic planning, communication
Work EnvironmentCollaborates closely with engineering and sales teamsWorks with marketing, sales, and product teams
Common UsageTech companies, engineering-driven productsBroad industry, consumer and enterprise products

While both roles support product success, the Product Marketing Engineer focuses on technical content and product demos, working closely with engineering teams. The Product Marketing Manager handles overall market positioning and strategy. Understanding these differences helps in choosing the right career path or job search focus.

What are Product Marketing Engineers?

Product Marketing Engineers are professionals who bridge the gap between engineering teams and marketing or sales teams in technology-driven companies. They possess a strong technical background and use this expertise to help position, launch, and promote products effectively in the market. Their responsibilities often include understanding customer needs, translating technical product features into customer benefits, creating marketing materials, and supporting sales teams with technical information. By combining technical knowledge with marketing skills, they ensure products meet market demands and resonate with target audiences.

What is a typical PMM salary?

A Product Marketing Manager (PMM) salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced PMMs or those in high-cost areas can earn over $150,000. Skills in market research, product positioning, and cross-functional collaboration are often valued in this role.

How does a Product Marketing Engineer typically collaborate with engineering and sales teams?

Product Marketing Engineers play a key role in bridging technical and commercial teams. They work closely with engineering to understand product features, roadmaps, and technical specifications, ensuring accurate and compelling messaging for customers. Simultaneously, they support sales teams by providing technical training, creating sales tools, and addressing customer feedback. This cross-functional collaboration helps ensure that product launches and ongoing campaigns are aligned with both technical capabilities and market needs.

What engineers make $500,000?

Senior product marketing engineers or highly experienced technical marketing professionals can earn $500,000 or more annually, especially in high-demand industries like technology or software. Achieving this level typically requires advanced skills, extensive experience, and often performance-based bonuses or stock options.

What are the key skills and qualifications needed to thrive as a Product Marketing Engineer, and why are they important?

To thrive as a Product Marketing Engineer, you need a strong background in engineering or technical fields, combined with marketing knowledge and typically a relevant degree. Familiarity with product lifecycle management tools, CRM systems, and market analysis software is essential, along with experience using technical documentation platforms. Outstanding communication, cross-functional collaboration, and analytical thinking are crucial soft skills for translating technical features into customer value. These competencies enable effective product positioning, successful go-to-market strategies, and alignment between engineering and marketing teams.

What do Product Marketing engineers do?

Product Marketing Engineers combine technical knowledge with marketing skills to communicate product features and benefits to customers and internal teams. They often create technical content, support sales efforts, and collaborate with product development to ensure market needs are addressed. Proficiency in tools like CRM and technical certifications can enhance their effectiveness.

What engineers make $300,000 a year?

Senior product marketing engineers or technical marketing engineers with extensive experience, specialized skills, and often in leadership roles can earn $300,000 or more annually. High compensation typically involves advanced knowledge of industry tools, strategic responsibilities, and sometimes stock options or bonuses.
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Product Marketing Engineer jobs near you

Product Marketing Engineer

Langfuse GmbH

San Francisco, CA • On-site

Full-time

Posted 17 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