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ai application engineer

Apple

Are you excited about using AI/ML models to drive innovation across disciplines? Are you passionate about developing intelligent agents that transform how engineering decisions are made? If so, please come and join us! 
 
We are a multi-functional team focused on building platforms and tools that enhance the engineering design processes behind millions of Apple products-including iPhone, iPad, Apple Watch, AirPods, Vision Pro, and more. This is a unique opportunity to apply your AI/ML expertise and software development skills to have a real impact at scale. 
 
Description 
 
We are seeking a top-tier AI Application Engineer with strong architectural thinking, deep AI/ML knowledge, and robust software development skills to help design, build, and deploy intelligent systems powered by machine learning and large language models (LLMs). 
 
In this role, you'll work at the intersection of applied AI and software engineering-translating ground breaking research into practical, scalable tools. You&rsquo;ll take ideas from feasibility studies and rapid prototypes to production-ready solutions with intuitive, high-quality user experiences. Your contributions will shape how engineering teams make faster, smarter decisions across many Apple hardware programs.&quot;,&quot;responsibilities&quot;:&quot;Serve as a founding engineer to shape the project&rsquo;s technical foundation. 
 
Partner with hardware teams to define AI product features and scope. 
 
Benchmark, adapt, and integrate AI/ML models into existing software systems. 
 
Architect and implement the end-to-end software solution. 
 
Deploy and support AI tools for hardware engineering teams. 
 
Preferred Qualifications 
 
Hands-on experience developing AI-powered applications 
 
Experience designing and deploying agentic AI systems 
 
Extensive knowledge with popular LLMs such as Gemini, Claude, and GPT 
 
Experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) 
 
Demonstrated ability to bring innovative AI research into production systems 
 
Hands-on experience with cloud services and containerization technologies 
 
Additional experience in Java or C++ is a plus 
 
Master's or PhD in Computer Science, Computer Engineering, or a related field 
 
Minimum Qualifications 
 
BS and a minimum of 3 years relevant industry experience 
 
Strong understanding of generative AI models, particularly large language models (LLMs) 
 
Proficiency in Python 
 
Excellent software engineering skills, versed in modular and object-oriented design methodology and general SW standard processes 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $210,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AI Application Engineer

Realign

<div>San Francisco, California 94016 Posted March 12th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Contract
Job Category: IT
Job Description
Role: Sr. AI/ML Engineer<ul><li> Experience &ndash; 10+ Years</li><li> Location - San Francisco, CA &ndash; LOCALS Only</li></ul><div>
Required Qualifications 
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications 
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul> 

Roles &amp; Responsibilities 
Role Overview 
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div> 
Key Responsibilities 
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Sr. AI/ML Engineer-6

Hayden AI

<div>
 
 About Us
 
 
 
 At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
 
 
 From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
 
 
 
 Job Title:
 
 Machine Learning Operations Engineer
 
 
 
 Company:
 
 Hayden AI Technologies, Inc.
 
 
 
 Location:
 
 460 Bryant Street, Suite 100, San Francisco, CA 94107
 
 
 
 Position Duties
 
 
 
 <ul>
 <li>
 Optimize orchestration processes to ensure efficient deployment and management of AI models.
 </li>
 <li>
 Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance.
 </li>
 <li>
 Upgrade throughput to enhance scalability and responsiveness of AI systems.
 </li>
 <li>
 Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency.
 </li>
 <li>
 Ship new features and updates rapidly while maintaining high levels of quality and reliability.
 </li>
 <li>
 Deploy and monitor machine learning models produced by deep learning engineers.
 </li>
 <li>
 Design, deploy, and maintain performant and scalable processes for data acquisition and manipulation to enhance dataset accessibility.
 </li>
 <li>
 Participate actively in the team's software development process, including design reviews, code reviews, and brainstorming sessions.
 </li>
 <li>
 Maintain accurate and updated software development documentation.
 
 
 </li>
 </ul>
 
 Degree Requirements
 
 
 
 Bachelor of Science or Engineering degree or a foreign equivalent in Robotics, Machine Learning, Computer Science, Electrical Engineering, Electronics and Telecommunication Engineering, or a related field.
 
 
 
 Experience Requirement
 
 
 
 One (1) year of work experience in the job offered or as a Deep Learning Engineer, Perception Engineer II, MLOps, Research Engineer II, Machine Learning, Computer Vision Intern, or another related deep learning engineer role.
 
 
 
 Other Special Requirements
 
 
 
 <ul>
 <li>
 One (1) year of work experience with all of the following:
 </li>
 <ul>
 <li>
 Deploying real-world applied computer vision (including deep learning models) on edge devices
 </li>
 <li>
 Python programming and software design
 </li>
 <li>
 C++
 </li>
 <li>
 Software development tools and libraries including PyTorch, OpenCV, TensorFlow, MLflow
 </li>
 <li>
 Automated data annotation
 </li>
 <li>
 Distributed training in the cloud
 </li>
 <li>
 Deploying and managing GPU clusters for ML pipelines and workflows
 
 </li>
 </ul>
 </ul>
 
 Rate of Pay:
 
 $135,699.00 to $190,000.00 per year
 
 
 
 Location of Position and Interview:
 
 
 
 Hayden AI Technologies, Inc.
 
 
 460 Bryant Street, Suite 100
 
 
 San Francisco, CA 94107
 
 
 
 Applicants Should Submit Resumes To
 
 
 
 Janet Le-Mcintosh
 
 
 janet.le@hayden.ai
 
 
 Hayden AI Technologies, Inc.
 
 
 460 Bryant Street, Suite 100
 
 
 San Francisco, CA 94107
</div>

Machine Learning Operations Engineer

Klaviyo

<div><div>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.</div>
Klaviyo is looking for a Senior Security Engineer to add to our growing Detection and Response (D&amp;R) Team. This is a hands-on technical role that involves building and maintaining secure, reliable, and scalable detection and response systems to enhance our security observability capabilities. This role will also be responsible for participating in full end-to-end detection development and response lifecycle and support with threat response operations. As a Senior Security Engineer, you will have the opportunity to leverage your security and engineering skills to provide thought leadership, solve complex security challenges and ultimately improve Klaviyo's overall security posture.

How you will make a difference:
<ul>
<li>Build systems that facilitate security observability for detection and response</li>
<li>Develop AI-first security systems to automate detection and response operations</li>
<li>Onboard, normalize and optimize security logging data for large-scale data analysis, detection engineering, deployment of ML models, and efficient querying during incidents.</li>
<li>Develop high-fidelity rule-based and/or ML-based detections as code</li>
<li>Respond to security alerts, cyber threats, and security incidents</li>
<li>Drive end-to-end incident response investigations
</li><li>Automate and codify detection and response workflows and processes</li>
<li>Conduct ad-hoc threat hunts and be an active member of D&amp;R on-call rotations</li>
</ul>
We'd love to hear from you if you have:
<ul>
<li>5+ years of experience in software, security, and/or data engineering</li>
<li>Automation-first and AI-first approach for all work performed</li>
<li>Experience with centralized logging, data lakes, and SIEM solutions</li>
<li>Familiarity with large-scale data pipelines and data engineering techniques</li>
<li>Proficient in programming languages to automate / build (e.g., Python, Go or similar)</li>
<li>Proven experience with git/GitHub and CI/CD automations</li>
<li>Familiarity with tactics, techniques, and procedures used by threat actors</li>
<li>Experience being part of detection and response or incident response on-call</li>
<li>Strong passion for continuous learning and staying updated on evolving technology</li>
<li>Strong oral and written communication skills</li>
<li>Team player with a strong, self-managing work ethic</li></ul> 


We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here<div>
Get to Know Klaviyo

We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.

AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.

By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. 

Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
<div>
<div><div><div><div><div><div><div><div><div><div><div>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</div>
<div></div>
<div>By clicking &quot;Submit Application&quot; you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).</div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Senior Security Engineer - Detection and Response

Bain & Company

What Makes Us A Great Place To Work
 
We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on [1] Glassdoor’s Best Places to Work list and have earned the #1 spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
 
About Bain AI, Insights & Solutions (AIS)
 
Bain’s [2] AI, Insights & Solutions (AIS) team works with clients to design and deliver AI-powered solutions that create measurable business impact. You’ll operate in multidisciplinary teams alongside Bain consultants, other experts in product, design, architecture and engineering, and client stakeholders, translating ambiguous business problems into robust AI applications that can be piloted, scaled, and adopted.
 
The Impact You’ll Have
 
Bain works with clients on board-level and executive priorities, helping deliver step-change results across growth, productivity, and resilience. In that context, AI is rarely a point solution. The most meaningful outcomes come from building AI as part of an integrated system that combines technology with redesigned processes, operating model changes, and adoption at scale across the organization.
 
As an ML-AI Engineer Intern in AIS, you will build the technical core of these transformations and work as part of broader Bain consulting teams to move solutions from prototype to real adoption. The result is measurable impact at the company or enterprise level and, in many cases, helps clients set new performance standards for their industries.
 
The Role
 
We are hiring an ML-AI Engineer Intern to help build GenAI and agentic AI applications for enterprise use cases, ranging from rapid proofs of concept (POCs) to MVPs and, where appropriate, scaled production deployments. You will design and implement LLM-driven applications and agentic workflows that use tools, data, and enterprise systems to execute multi-step tasks reliably and safely.
 
While GenAI and agentic AI are the primary focus, you will also draw on data science and ML engineering skills as needed, including building evaluation approaches, working with data pipelines, and developing or integrating ML models when they materially improve performance or reliability.
 
You will have opportunities to work with major AI ecosystem partners through Bain’s partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in enterprise settings.
 
Bain offers significant learning and growth opportunities through the breadth and depth of problems we solve, the level of impact we help clients achieve, and our apprenticeship model. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time.
 
What You’ll Do
 
Build AI applications that drive real business outcomes
 <ul>
<li>Contribute to the design and development of GenAI applications (e.g., copilots, workflow automation, decision support) using modern LLM stacks.</li>
<li>Support the implementation of agentic workflows where they add clear value (e.g., tool use, multi-step execution, human-in-the-loop controls), with attention to reliability, safety, and clear failure modes.</li>
<li>Assist in building robust agent capabilities including context engineering, memory/state management (short-term and long-term), orchestration, routing, and tool integration patterns.</li>
</ul>
Build and apply data science and machine learning capabilities
 <ul>
<li>Contribute to ML solutions end-to-end: data preparation, feature engineering, model selection, training, validation/testing, and performance analysis.</li>
<li>Apply appropriate ML methods for the problem, spanning classical ML and deep learning (including sequence, text, and image models when relevant).</li>
<li>Develop working knowledge of modern deep learning concepts, including transformer fundamentals and LLM pre-training vs post-training concepts (e.g., instruction tuning, preference optimization).</li>
</ul>
Engineer for real delivery: POC → MVP → production
 <ul>
<li>Write clean, testable, maintainable code and ship AI services through the full SDLC: build → test → deploy → monitor → iterate.</li>
<li>Support implementation of MLOps and GenAIOps practices: CI/CD, reproducibility, environment parity, model/prompt/agent versioning, and operational readiness.</li>
<li>Contribute to evaluation and observability for GenAI and agentic systems: tracing and instrumentation, regression test suites, automated scoring where appropriate, and iteration loops for prompt/policy optimization.</li>
<li>Gain exposure to secure enterprise deployment practices, including access controls, auditability, data handling for sensitive/PII data, and responsible AI guardrails.</li>
<li>Contribute to reusable components and accelerators (templates, evaluation harnesses, connectors, orchestration patterns) that scale across client contexts.</li>
</ul>
Thrive in a consulting environment
 <ul>
<li>Communicate clearly with technical and non-technical audiences; present in working sessions, share recommendations, and help write crisp technical documentation.</li>
<li>Support client discussions, demos, and documentation development as part of broader engagement teams.</li>
</ul>
What We’re Looking For (Qualifications)
 
Educational background
 <ul>
<li>Currently pursuing or recently completed a bachelor’s, master’s, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, or a related quantitative field; or equivalent early-career industry experience.</li>
<li>Strong academic performance or demonstrated excellence through research, projects, internships, competitions, or open-source contributions.</li>
</ul>
Core engineering + AI application skills
 <ul>
<li>0-2+ years of professional AI / ML engineering experience or equivalent experience through internships, research, academic projects, or industry roles, with strong backend engineering fundamentals.</li>
<li>Proficiency in Python and some experience building APIs/services (e.g., REST/gRPC) or comparable project-based experience.</li>
<li>Hands-on experience (academic, internship, or industry) building ML or LLM-powered applications, preferably with exposure to delivery considerations such as latency, cost, reliability, or security.</li>
<li>Exposure to retrieval/search systems (e.g., hybrid retrieval, vector search, reranking), and familiarity working with structured and unstructured data stores.</li>
<li>Exposure to agentic patterns (context management, tool integration, orchestration, memory/state handling); hands-on experience (academic, internship, or industry) preferred.</li>
<li>Strong engineering practices: testing, code review, version control, CI/CD, and performance profiling.</li>
</ul>
Breadth of knowledge across data science and machine learning
 <ul>
<li>Experience training, validating, and testing ML models; strong understanding of overfitting, generalization, and evaluation methodology.</li>
<li>Practical experience with feature engineering and data preprocessing.</li>
<li>Familiarity with a broad set of ML algorithms (classical ML and deep learning), and the ability to choose methods that match constraints.</li>
</ul>
Delivery mindset and consulting skills
 <ul>
<li>Excellent interpersonal and communication skills, able to explain technical decisions, tradeoffs, and results to mixed audiences.</li>
<li>Interest in applying AI to solve real-world business problems in a client-facing environment.</li>
</ul>
Working Model & Travel
 <ul>
<li>This role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office.</li>
<li>Travel may be required beyond your home office / primary working location. Frequency and destination vary by project needs.</li>
</ul>
U.S. Compensation Information
 
For all locations, the good-faith reasonable annualized full-time compensation for this role is commensurate with competitive geographic market rates. Additionally, in some locations compensation may vary based on several factors including, but not limited to relevant experience, education, licensure/certifications, training and skill level.
 
Compensation for this role in the United States includes a monthly base salary of $9,000 and Bain's best-in-class benefits package (details listed below).
 
<ul>
<li>Bain & Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.</li>
<li>Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck</li>
</ul>
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
 References
 
Visible links
 1. https://www.bain.com/about/awards-recognition/
 2. https://www.bain.com/careers/work-with-us/integrated-teams/ai-insights-solutions-ais/

ML-AI Engineering Intern

OpenAI

<div>
 We&rsquo;re building the next generation of OpenAI&rsquo;s internal developer experience, whether they&rsquo;re working human-only, agent-only, or fully hybrid. As AI changes how software gets written, reviewed, tested, and shipped, we are reimagining the best practices in the software development lifecycle, and integrating our dev infra and tooling into a seamless yet powerful offering.
 
 
 This role lives at the intersection of product design, engineering craft, and real-world scale. We&rsquo;re looking for a
 
 product-minded engineer
 
 who can own end-to-end experiences across multiple UI/UX surfaces across our internal tooling ecosystem, with a strong taste for interaction design and a keen eye for developer&rsquo;s needs.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Own major product areas end-to-end: problem discovery, UX iteration, technical design, implementation, rollout, and ongoing improvements.
 </li>
 <li>
 Partner closely with engineers and internal stakeholders to understand pain points and translate them into simple, effective UI/UX for core developer workflows.
 </li>
 <li>
 Integrate and iterate on AI-empowered DevEx that balances capability vs simplicity/control.
 </li>
 <li>
 Set a high bar for performance, reliability, and usability, providing a world-class product experience for every engineer at OpenAI.
 
 
 </li>
 </ul>
 
 You might thrive in this role if you
 
 
 
 <ul>
 <li>
 Have 5+ years of professional engineering experience (excluding internships) building user-facing products.
 </li>
 <li>
 Are a strong frontend engineer or a full-stack engineer with deep UI instincts, and modern web fundamentals (TypeScript, React, component design, state management).
 </li>
 <li>
 Have built products in zero-to-one environments, or owned a product surface with ambiguous requirements and high urgency.
 </li>
 <li>
 Have experience building internal tools, enterprise tools, or workflow-heavy products for technical users.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $185K - $490K
</div>

Software Engineer, Full-Stack — Developer Experience

Airbyte

<div>Airbyte is the open‑source standard for data movement. We've enabled data teams to move data from applications, APIs, unstructured sources and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors built and hundreds of thousands of companies adopting Airbyte, we've proven the economics of data integration at scale. And now Airbyte is building the frontier agentic data infrastructure, purpose-built for AI agents that need fast, accurate access to data across hundreds of sources. Our mission: make data available and actionable, everywhere.
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&rsquo;ve raised enough capital to explore boldly, but we still choose to move quickly, stay scrappy, and experiment constantly as we find the right paths in an AI-native landscape.<h2 class="jobSectionHeader">
The Role:</h2>
As a Senior Product Advocate at Airbyte, you will be a key hire bridging marketing and the developer community for our new agentic data infrastructure product. You'll create technical content, build demos, and represent Airbyte in the AI engineering community. If you're someone who can build a compelling product demo and then turn that into a blog post, video walkthrough, or conference talk, this is the role for you.<h2 class="jobSectionHeader">
What You&rsquo;ll Do:</h2><ul><li>
Build demos, sample projects, and technical walkthroughs that showcase how Airbyte's agentic data infrastructure gives AI agents fast, accurate access to business data</li><li>
Create technical content including blog posts, tutorials, and video walkthroughs that educate the AI engineering community and drive inbound interest</li><li>
Collaborate closely with Marketing to amplify product messaging, support campaigns, and grow awareness among AI engineers</li><li>
Partner with AI framework teams (LangChain, Pydantic AI, CrewAI, and others) to build integrations and co-create content</li><li>
Represent Airbyte at meetups, conferences, and online communities in the AI agent ecosystem</li><li>
Engage with developers across GitHub, Discord, Twitter/X, and YouTube, answering questions, gathering feedback, and spotlighting community projects</li><li>
Work with influencers and technical creators in the AI engineering community to expand Airbyte's reach</li><li>
Bring customer and community insights back to Product, Engineering, and Marketing to inform roadmap and positioning</li></ul><h2 class="jobSectionHeader">
What You&rsquo;ll Need:</h2><ul><li>
3+ years of technical experience in a customer-facing or community-facing role, such as developer relations, technical content creation, solutions engineering, or technical support</li><li>
Strong written and verbal communication skills, with the ability to make complex technical topics clear and compelling</li><li>
Technical foundation (whether through a degree, bootcamp, or hands-on experience) that enables you to continuously deepen your understanding of Airbyte's technology and the AI agent ecosystem</li><li>
Comfort working with AI coding tools to build demos, prototypes, and sample projects. You don't need to be a software engineer, but you should be able to ship things</li><li>
A builder mentality. You're comfortable getting hands-on with the product, creating demos, and shipping content</li><li>
Comfort operating in a fast-paced, early-stage environment where the playbook is still being written</li></ul><h2 class="jobSectionHeader">
Nice To Have:</h2><ul><li>
Experience creating technical content (blog posts, videos, tutorials) for a developer audience</li><li>
Comfortable on camera for video walkthroughs, conference talks, or podcast appearances</li><li>
Familiarity with AI agent frameworks like LangChain, CrewAI, Pydantic AI, or similar projects</li><li>
Familiarity with data infrastructure concepts like ELT, CDC, and real-time sync</li><li>
Previous experience in both marketing and developer relations or community roles</li></ul><h2 class="jobSectionHeader">
Location:</h2><ul><li>
Onsite 5 days/week in San Francisco, CA</li></ul>
If you find this role exciting, we encourage you to apply even if you think you don&rsquo;t meet all of the requirements!
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 accommodations due to a disability.
Compensation Range: $130K - $150K</div>

Senior Product Advocate

Explore 208+ Ai application engineer in San Francisco this March. Find roles across top companies and apply now to boost your career.