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Buffer Remote Jobs in Seattle, WA (NOW HIRING)

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$12

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$26

How much do buffer remote jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for buffer remote in Seattle, WA is $19.98, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $21.35 per hour, depending on experience, location, and employer.

What is a Buffer Remote?

A Buffer Remote job refers to a position at Buffer, a company known for its social media management tools, that is fully remote. Employees work from anywhere in the world while contributing to the company’s mission of helping businesses build their online presence. Buffer values a strong remote work culture, offering flexible schedules, transparent operations, and a focus on asynchronous communication. Roles at Buffer range from engineering and marketing to customer support and product management.

What are the typical responsibilities of a Buffer Remote and how do they differ from in-office social media roles?

Buffer Remote team members are responsible for creating, scheduling, and monitoring social media content, analyzing engagement trends, and collaborating with other marketing or product teams, all within a fully remote work environment. Unlike traditional in-office roles, Buffer Remote employees rely heavily on digital communication channels, self-directed workflow, and time management to stay in sync with global colleagues. This setup offers flexibility but also requires proactive communication and accountability. Buffer Remote professionals may also participate in virtual brainstorming sessions, campaign planning, and customer support as needed, making adaptability key to success.

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

To thrive as a Buffer Remote, you need a solid grasp of social media management, digital marketing strategies, and customer engagement practices, often supported by prior experience in remote or distributed work environments. Proficiency in using Buffer's platform, along with familiarity with scheduling tools, analytics dashboards, and popular social channels, is critical. Strong communication, self-motivation, and organization help professionals excel in asynchronous, collaborative remote teams. These skills ensure efficient, on-brand social media presence and seamless coordination with both internal teams and external audiences.

Is Buffer a good company to work for?

Buffer is known for its transparent company culture, flexible remote work environment, and emphasis on employee well-being. Many employees appreciate its open communication and focus on work-life balance, though experiences can vary depending on individual roles and expectations.

What are popular job titles related to Buffer Remote jobs in Seattle, WA?

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What job categories do people searching Buffer Remote jobs in Seattle, WA look for?

The top searched job categories for Buffer Remote jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Buffer Remote jobs?

Cities near Seattle, WA with the most Buffer Remote job openings:

Buffer Remote jobs near you
Infographic showing various Buffer Remote job openings in Seattle, WA as of August 2026, with employment types broken down into 63% Full Time, 32% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $41,557 per year, or $20 per hour.

Technical Marketing Engineer and Writer

Hedgehog

Seattle, WA • Remote

Full-time

Medical, Dental, Vision

Re-posted 8 days ago

Job description

Company Description

About Hedgehog

AI needs a new network.  Hedgehog is the AI network.  AI developers need new cloud infrastructure with high performance compute that trains and tunes generative AI models quickly and efficiently.  They need ultra-low latency for AI inference so users get a human experience. Traditional cloud networks lack the congestion control and adaptive routing required to minimize AI job completion time.  AI cloud builders find current reference architectures expensive and difficult to operate because they require specialized network engineers from a very limited number of vendors.  Hedgehog delivers a high performance AI network that reduces AI job completion time up to 35% with flow scheduling and buffer management for congestion control and adaptive routing.  Our low latency cloud network is multi-tenant for so that many teams can tune models, and many people can use model.  A Hedgehog cloud network is easy to operate.  If you know how to use AWS, Azure to Google Cloud, you can run a Hedgehog cloud.  And you can build a Hedgehog AI cloud at reasonable cost with open source software, white box hardware from a wide selection of vendors, and fully automated operations with your existing team.  

    Job Description

    Want to show the world how to build AI infrastructure?  Want to guide new cloud builders on how to design, build and operate AI cloud networks?  Better yet, want to build an AI assistant that does this for you?  If you have a network engineering background and you enjoy telling good stories while documenting and demonstrating technology, this is the job for you.  

    As Hedgehog's first Technical Marketing Engineer, you will play a key role in defining this critical job function at a fast growing open source company leading the AI Network category.  In the short term you will:

    Explain the Hedgehog product producing 2-3 minute YouTube videos covering a range of topics including:

    • Hedgehog Virtual Private Cloud service
    • Hedgehog Control Plane
    • Hedgehog Data Plane
    • Hedgehog Zero Touch Provisioning
    • Hedgehog Network Observability
    • Hedgehog Network Troubleshooting
    • Hedgehog Software Updates

    Demonstrate the Hedgehog product live for prospective customers.

    Wear a second hat as a technical writer improving technical documentation from our engineering team.  Improvements include tech writing best practices for a quick start guide, tutorials, lab exercises, background information, glossary, and context that frames the software engineering details. 

    Train a Hedgehog virtual assistant to answer customer questions by feeding your technical documentation and marketing material into Retrieval Augmented Generation (RAG) for an open source Large Language Model (LLM).

    Guide prospective customers through virtual lab exercises so they can evaluate the same product features that you demonstrate in videos and discovery calls.  

    Assist prospective customers in designing, planning and scoping their AI cloud infrastructure. 

    Assist prospective customers in documenting their infrastructure as code, implementing Gitops, and integrating Hedgehog into their Gitops process.  

    Position Hedgehog relative to our partners and competitors.  

    Handle customer objections and build objection handling playbooks for SDRs using Hubspot.

    Write blogs on AI network topics, Hedgehog capabilities, and Hedgehog customer stories.

    Train new sellers at Hedgehog and our GTM partners on how to position Hedgehog in AI cloud infrastructure solutions.  

    Qualifications

    Requirements:

    • Bachelor's or Graduate's Degree in computer science, data science, electronics, or engineering.

    • Industry experience with cloud networking and/or a strong understanding of cloud networking concepts like VPC, BGP EVPN, VXLAN, NAT, DHCP, ZTP, SDN, RoCEv2, ECN, PFC

    • Strong technical writing skills demonstrated by a reference portfolio

    • Strong oral communication with a gift to simply explain complex technical concepts with stories that non-technical people can easily understand

    • Basic video editing skills 

    Bonus:

    • Degree (or equivalent) in Computer Science, Computer Engineering, or a related technical field

    • Curious nature and desire to tinker: you want to pull things apart to see how they work

    • Love of new and emerging technologies

    • Ability to distill complicated ideas to just the right number of words

    • Experienced with technical writing using Markdown and Material for MkDocs

    • Experience with AI/ML models

    • Experience with open source software

    • Experience in embedded or network engineering, technical support, product testing, or QA

    Additional Information

    Hedgehog Benefits

    • World-class team
    • Fun culture
    • Engaging and interesting engineering problems
    • Competitive salary
    • Startup equity
    • Health Insurance (Medical, Dental, Vision)
    • Unlimited time off
    • Work from home (fully remote - we don't care where you are; we care about what you can do)
    • Laptop, IT equipment

    Apply