Senior Developer Advocate

Posted:
2/3/2025, 10:54:03 AM

Location(s):
California, United States ⋅ San Francisco, California, United States

Experience Level(s):
Senior

Field(s):
Data & Analytics

Workplace Type:
On-site

Airbyte is the open-source standard for Data Movement. We enable data teams to move data from applications, APIs, unstructured sources, and databases to data warehouses, lakes, AI applications and LLMs. With our approach we are finally solving the need for extensibility and control that every company needs with data.

So far, our customers, users, and ourselves have built over 10,000 connectors and have had 200,000+ companies install Airbyte. We've raised $181M from the world's top investors (Benchmark, Accel, Altimeter, Coatue, Y Combinator, etc.) and we believe in product-led growth, where we build something awesome that all our users love.

We’re committed to providing as much context to our current employees and candidates. The Airbyte company handbook, core values, methodology, strategy, and roadmap are open to all.

Airbyte is in-person in our Embarcadero office weekly. If you find this role exciting, we encourage you to apply even if you think you don’t meet all requirements

Opportunity

We're seeking a Senior Developer Advocate with a passion for AI, data engineering, and cutting-edge technologies like vector databases, embeddings, AI agents, and large language models. You will be responsible for creating technical content, fostering community growth, and showcasing how Airbyte can be the backbone of AI workflows and real-time data processing. The ideal candidate will have an established presence in the AI, data movement, or Python development communities and experience working with AI-powered systems.

What You'll Do

Content Creation:
- Create engaging, high-quality technical content (YouTube tutorials, conference talks, blog posts, live coding sessions, and webinars) that demonstrates the value of Airbyte in data and AI-driven applications.
- Develop video tutorials on topics such as integrating Airbyte with vector databases (e.g., Pinecone, Weaviate), deploying AI agents, and optimizing LLM-powered data pipelines.
Community Engagement:
- Actively engage with the AI, data engineer, and open-source developer communities (GitHub, Stack Overflow, Reddit, Slack, Discord, etc.).
- Provide guidance and support to data engineers and AI practitioners using Airbyte for data movement, analysis, and AI agent workflows.
- Identify community pain points and relay feedback to the product and engineering teams to improve the developer experience.
Technical Enablement:
- Build sample projects, proof-of-concept demos, and open-source contributions to demonstrate Airbyte's capabilities in powering AI agents, similarity search, and data movement use cases.
- Collaborate with product and engineering teams to ensure documentation is developer-friendly and highlights AI-specific use cases.
Advocacy and Public Speaking:
- Represent Airbyte at industry conferences, webinars, and workshops focused on AI, LLMs, and data engineering.
- Advocate for best practices in building AI-driven pipelines, integrating LLMs with real-time data, and leveraging vector databases within the community.
Partnership Development:
- Collaborate with ecosystem partners (vector database providers, LLM platforms, cloud services, and open-source projects) to create joint content and developer initiatives.

What You'll Need

Experience in Developer Advocacy: 5+ years of experience in developer advocacy, technical evangelism, or similar roles.
Content Creation Expertise: Proven experience creating and publishing technical content, especially video tutorials on platforms like YouTube.
Technical Skills: Strong programming skills in Python, frontend data visualization frameworks like Streamlit, and familiarity with AI agents, LLMs (e.g., OpenAI, Anthropic), vector databases (e.g., Pinecone, PGVector, Milvus), and data integration workflows.
Community Presence: An established presence in the AI, data movement, open-source, or Python community (e.g., blog, YouTube channel, GitHub contributions, conference talks).
Public Speaking: Excellent verbal and written communication skills, with the ability to present technical topics clearly to diverse audiences.
Collaboration: Strong ability to work cross-functionally with product, engineering, and marketing teams.
You share our values

Preferred Qualifications

Experience contributing to or maintaining open-source projects.
Strong video / content creation skills and how to make YouTube videos and shorts pop
Knowledge of Airbyte or other data movement platforms.
Background in data engineering and traditional integration patterns
Experience integrating vector databases and LLMs for semantic search or AI-powered applications.
Familiarity with AI agent orchestration (e.g., LangChain, AutoGPT) and MLOps workflows.
Understanding of cloud platforms (AWS, GCP, Azure) and scalable data processing pipelines.

Location

San Francisco Bay Area. Onsite, 3x per week.

Salary

$170,000 - $200,000 + a generous equity package, and benefits listed below for US Market.

We Provide

The benefits listed below are for US-based employees.

Relocation - should you apply to a San Francisco based role, Airbyte will assist with U.S. relocation to make this a seamless transition and compensate you well.
Unlimited Paid Time Off - we need you at your best at all times. Our expected minimum time off of 25 PTO days per year lets you schedule your work around your life.
Parental leave (for new parents) - we offer 16 weeks of paid parental leave for all new parents so you have time to adjust to the new life (and work) schedule introduced by your new bundle of joy.
Sponsored Travel - Airbyte has a partially distributed team and we recognize the value of in-person time. We sponsor annual company-wide retreats, team offsites, and Travel With Purpose in between to allow you to collaborate with your team in person on a regular basis.
Open book policy - we will pay for books you purchase for your professional and career development.
Continuous learning/training policy - we sponsor you for the conferences and training programs you feel would add to your development in the company.
Competitive benefits package for US-based employees, including:
- Blue Shield or Kaiser Medical Insurance
  - Airbyte covers 100% for both employees and dependents
- Dental (including child & adult ortho) & Vision Insurance
  - Airbyte covers 100% for both employees and dependents
- Life and AD&D Insurance
  - Airbyte covers 100% for employees
- Short-term Disability Insurance
  - Airbyte covers 100% for employees
- Long-term Disability Insurance
  - Airbyte covers 100% for employees
Healthcare insurance stipend for those outside the US whose countries do not provide it for free.
401k for US-based employees.
FSA (flexible spending account)
Work Visas We currently sponsor H1B Transfers, TN Visas, and Green Cards. All other Visa requests will be discussed on a case by case basis to determine if we can sponsor.

Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodation due to a disability.

Airbyte

Website: https://airbyte.com/

Headquarter Location: San Francisco, California, United States

Employee Count: 101-250

Year Founded: 2020

IPO Status: Private

Last Funding Type: Series B

Industries: Analytics ⋅ Data Integration ⋅ Open Source ⋅ Productivity Tools

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