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engineer 2

ai engineering lead

Hex Technologies

SF or NYC
<br><br>
<b>About the role:</b><br>
Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers.
<br><br>
<b>What you will do:</b><br>
Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities
<br>Define and implement the future of the AI Engineering function at Hex as we scale
<br>Hire and mentor an exceptional team of AI Engineers
<br>Support an exceptional developer and research experience for teams working with AI technology
<br>Deliver high-performing shared AI infrastructure, including search systems
<br><br>
<b>About You:</b><br>
You have 4+ years of people management experience and leading high-performing teams
<br>You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals.
<br>You are obsessed with driving business outcomes and delivering value to customers
<br>You are rigorous but pragmatic, balancing good experimental design with early-stage agility
<br>You are a strong communicator and love collaborating with other roles and teams to drive outcomes
<br>You are a talent magnet, with the ability to attract and retain exceptional AI talent
<br>Our stack
<br><br>
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
<br><br>
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
<br><br>
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
<br><br>
<b>The salary range for this role is:</b> $246,000 - $329,000
<br><br>
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
<br><br>
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
<br><br>
About Hex
<br><br>
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
<br><br>
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

AI Engineering Lead

LendingClub

<div><h3 class="jobSectionHeader"><b>Current </b><b>Employees</b><b> of LendingClub: Please apply via your internal Workday Account</b></h3><p></p><p>
LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the U.S., having helped our nearly 5 million members secure over $90 billion in loans to refinance high-cost debt and achieve their financial goals. Members today have mobile-first access to a growing range of products and services designed to work seamlessly together to deliver value in new ways. Everyone deserves a better financial future, and our team is committed to making that a reality. Join the Club!</p><p></p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p></p>
Our mission at LendingClub is to empower those who strive to achieve better financial health. The Data and Analytics team plays a crucial role in achieving our mission.<br>
<br>
We are seeking a Principal Data Engineer to lead the design and evolution of data systems that power batch processing, real-time streaming, pipeline orchestration, data lake management, data cataloging, and machine learning workflows. This role has a strong emphasis on enabling and scaling machine learning and analytics use cases, including feature engineering, model training, and inference data pipelines.<br>
<br>
In this role, you will apply deep technical expertise, architectural thinking, and hands-on development to solve complex big data and ML platform challenges. You will partner closely with Data Science, Product, and Platform teams to build reliable, scalable, and cost-efficient data foundations that support both analytics and production machine learning systems.<p></p><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><p></p><ul><li>
Design, build, and own large-scale data and ML data pipelines that integrate directly with LendingClub&rsquo;s products and external vendors</li><li>
Design and operate data platforms where autonomous coding agents help maintain pipelines, schemas, and tests, while you own architecture and guardrails.</li><li>
Lead the architecture and implementation of MLOps including feature stores, training datasets, batch and real-time inference pipelines</li><li>
Work with modern data technologies such as Hadoop, Spark, DBT, Dagster/Airflow, Atlan, and modern data platforms like Databricks and Snowflake, across the AWS cloud stack</li><li>
Partner with Data Scientists to productionize ML workflows and ensure data reliability, reproducibility, and performance</li><li>
Identify, design, and implement automation of manual processes, optimizing data delivery, improving system reliability, and reducing cloud costs</li><li>
Implement processes and systems to monitor Data Quality, Observability, Governance, Lineage, and ML data consistency</li><li>
Define policies, workflows, and quality gates for using AI agents in production data systems.</li><li>
Provide technical leadership and mentorship, influencing data engineering standards, best practices, and long-term platform strategy</li><li>
Coach teams on decomposing work, supervising agents, and validating AI-generated changes.</li><li>
Support operations to manage the production environment and lead root cause analysis (RCA) for complex data and ML pipeline issues</li><li>
Write unit and integration tests, advocate for test-driven development, contribute to engineering documentation and design reviews<div>
What You'll Do</div></li><li>
Build and govern data pipelines that support model training, feature generation, retrieval-augmented workflows, or AI-driven analytics</li><li>
Enable secure, production-grade access patterns for AI use cases through curated datasets, semantic layers, metadata, monitoring, and policy-aware data services</li><li><div><br>
About You</div></li><li>
You are highly fluent in modern AI data ecosystems and understand how to build the foundations required for AI and GenAI applications to succeed in production</li><li>
You know how data quality, lineage, retrieval patterns, feature access, vector storage, governance, and real-time or batch serving architectures influence AI system performance and trustworthiness</li><li>
You can evaluate tradeoffs, guide platform direction, and enable teams to build AI-ready data products responsibly and at scale</li></ul><p></p><h2 class="jobSectionHeader"><b>
About You</b></h2><p></p><ul><li>
8+ years of data engineering experience with deep hands-on experience with distributed data systems including Hadoop, Spark, Hive, DBT, and Airflow/Dagster</li><li>
Bachelor&rsquo;s degree in computer science or a related field, or equivalent work experience</li><li>
5+ years of production-quality Python experience, building and maintaining large-scale data pipelines</li><li>
Strong experience building machine learning use cases through data engineering (e.g., feature engineering pipelines, training/inference data flows)</li><li>
Experience working with public cloud platforms, preferably AWS</li><li>
Experience with Databricks and/or Snowflake in production environments</li><li>
Strong working knowledge of Git, JIRA, Jenkins, shell scripting</li><li>
Familiarity with Agile methodologies, test-driven development, source control management, and test automation</li><li>
Proven ability to work across cross-functional teams in a fast-paced, dynamic environment</li><li>
Excellent collaborative problem-solving and communication skills, with the ability to influence without authority</li><li>
A track record of designing and delivering scalable, reliable, and high-quality data platforms</li><li>
Nice to have: experience building data pipelines for Digital Marketing use cases</li></ul><p></p><p><b>
Work Location
</b><br>
San Francisco<br>
<br>
The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role&rsquo;s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role&rsquo;s success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level.
<br>
<br>
<b>Time Zone Requirements
</b><br>
Primarily PT<br>
<br>
While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.<br>
<br>
<b>Travel Requirements
</b><br>
As needed travel to LendingClub offices and/or other locations, as needed.
<br>
<br>
<b>Compensation
</b><br>
The target base salary range for this position is 198,000-230,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub&rsquo;s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).<br>
<br>
We&rsquo;re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.
<br>
<br>
#LI-Hybrid
<br>
#LI-JT1<br>
</p><p><br>
LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.</p><p></p><p><br>
We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@lendingclub.com.</p></div>

Principal Data Engineer

Apple

<p>Apple Services Engineering (ASE) powers many AI features across App Store, Music, Video and more. We build deeply personal products with the goal of representing users around the globe authentically. We work continuously to avoid perpetuating systemic biases and maintain safe and trustworthy experiences across our AI tools and models.<br>
<br>
<b>Description</b><br>
<br>
Our team, part of Apple Services Engineering, is looking for an ML Research Engineer to lead the design and continuous development of automated safety benchmarking methodologies. In this role, you will investigate how media-related agents behave, develop rigorous evaluation frameworks and techniques, and establish scientific standards for assessing risks they pose and safety performance. This role supports the development of scalable evaluation techniques that ensure our engineers have the right tools to assess candidate models and product features for responsible and safe performance.<br>
<br>
The capabilities you build will allow for the generation of benchmark datasets and evaluation methodologies for model and application outputs, at scale, to enable engineering teams to translate safety insights into actionable engineering and product improvements. This role blends deep technical expertise with strong analytical judgment to develop tools and capabilities for assessing and improving the behavior of advanced AI/ML models. You will work cross-functionally with Engineering and Project Managers, Product, and Governance teams to develop a suite of technologies to ensure that AI experiences are reliable, safe, and aligned with human expectations.<br>
<br>
The successful candidate will take a proactive approach to working independently and collaboratively on a wide range of projects. In this role, you will work alongside a small but impactful team, collaborating with ML and data scientists, software developers, project managers, and other teams at Apple to understand requirements and translate them into scalable, reliable, and efficient evaluation frameworks.&quot;,&quot;responsibilities&quot;:&quot;Design scientifically-grounded benchmarking methodologies covering multiple dimensions of responsibility and safety across several media and application marketplace use cases<br>
<br>
Develop automated evaluation pipelines that collect, automatically judge, and analyze model outputs with respect to safety policies, at scale<br>
<br>
Create and curate datasets, tasks, and feature usage scenarios that represent realistic and adversarial use cases across multiple languages, markets, and domains<br>
<br>
Define and validate new metrics for complex phenomena such as multi-turn agentic interaction patterns<br>
<br>
Apply statistical rigor and reproducibility to above mentioned objectives<br>
<br>
Work closely with engineering and research teams to translate experimental findings into actionable model improvements and safety mitigations<br>
<br>
Publish internal reports and external papers<br>
<br>
Monitor evolving industry practices and academic work to ensure benchmarks remain relevant<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Publications in AI/ML evaluation or related fields<br>
<br>
Experience with automated testing frameworks<br>
<br>
Experience constructing human-in-the-loop or multi-turn evaluation setups<br>
<br>
Intermediate or Advanced Proficiency in Swift<br>
<br>
Familiarity with RAG systems, reinforcement learning, agentic architectures, and model fine-tuning<br>
<br>
Expertise in designing annotation guidelines and validation instruments and techniques<br>
<br>
Background in human factors, social science, and/or safety assessment methodologies<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Advanced degree (MS or PhD) in Computer Science, Software Engineering, or equivalent research/work experience<br>
<br>
1+ years of work experience either as a postdoc or in the industry<br>
<br>
Strong research background in empirical evaluation, experimental design, or benchmarking<br>
<br>
Strong proficiency in Python (pandas, NumPy, Jupyter, PyTorch, etc.)<br>
<br>
Deep familiarity with software engineering workflows and developer tools<br>
<br>
Experience working with or evaluating AI/ML models, preferably LLMs or program synthesis systems<br>
<br>
Strong analytical and communication skills, including the ability to write clear reports<br>
<br>
Technical Skills:<br>
<br>
Proficiency in Python (pandas, NumPy, Jupyter, PyTorch, etc.).<br>
<br>
Experience working with large datasets, annotation tools, and model evaluation pipelines<br>
<br>
Familiarity with evaluations specific to responsible AI and safety, hallucination detection, and/or model alignment concerns<br>
<br>
Ability to design taxonomies, categorization schemes, and structured labeling frameworks<br>
<br>
Analytical Strength: Ability to interpret unstructured data (text, transcripts, user sessions) and derive meaningful insights<br>
<br>
Communication: Strong ability to stitch together qualitative and quantitative insights into actionable guidance; strong ability to communicate complex architectures and systems to a variety of stakeholders<br>
<br>
Education in Data Science, Linguistics, Cognitive Science, HCI, Psychology, Social Science, or a related field<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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 $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
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.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

ML Safety Engineer, ASE

OpenAI

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 The Applied team works across research, engineering, product, and design to bring OpenAI&rsquo;s technology to consumers and businesses.
 <br/>
 <br/>
 We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
  </li>
  <li>
   Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
  </li>
  <li>
   Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
  </li>
  <li>
   Implement robust and fault-tolerant systems for data ingestion and processing.
  </li>
  <li>
   Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
  </li>
  <li>
   Ensure the security, integrity, and compliance of data according to industry and company standards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Thrive In This Role If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).
  </li>
  <li>
   Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
  </li>
  <li>
   Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
  </li>
  <li>
   Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
  </li>
  <li>
   Solid understanding of Spark and ability to write, debug and optimize Spark code.
   <br/>
   <br/>
  </li>
 </ul>
 This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.
 <br/>
 <br/>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Compensation Range: $230K - $385K
</div>


Data Engineer, Analytics

About the team
<br><br>
The Finance Data team is embedded within the CFO Org and is responsible for building internal data products that scale analytics across business teams and drive efficiencies in our daily operations. This team provides technical guidance on high-impact, scalable projects across Finance, and is the subject-matter expert in financial and transactional data that supports our Finance day-to-day operations.
<br><br>
About the Role
<br><br>
The Finance Data team is embedded within the OpenAI CFO Org (not under Engineering nor Product) and our team's mandate is ambitious yet simple:
<br><br>
1) The CFO Org has the data required to be Public Company Ready.
<br><br>
2) The CFO Org has all the data it needs to execute swiftly on our AI first roadmap.
<br><br>
3) Controllership is able to close the books without any manual spreadsheets in the shortest timeframe and with zero material risks.
<br><br>
As an Data Engineer on the Finance Data team, you will be setting the foundation to scale analytics across our business functions and impart best data practices for a rapidly growing organization. We aspire to build the Finance team of the future.
<br><br>
In addition, you will work collaboratively with key stakeholders in Finance and other business teams to understand their pain points and take the lead in proposing viable, future-proof solutions to resolve them. You will also autonomously lead your own projects that deliver business impact and help cultivate a mature data culture among Finance teams.
<br><br>
We are looking for a seasoned Data Engineer who has a proven track record of owning the entire data stack at high transaction volume companies, managing business critical ETL pipelines consumed by non-technical teams. In this role you will serve the Head of Supply Chain Systems and be responsible for leading our manufacturing, OTC data mart strategy. The goal is to enable end-to-end asset and inventory traceability for our supply chain infrastructure by end of year 2026. We actually need someone who excels in dynamic environments, adapts quickly to changing needs, and confidently navigates ambiguous or evolving requirements. If you're energized by solving technical problems without a playbook and comfortable wearing multiple hats, this role is for you! To clarify, you will not be responsible for training ML models and neither would we describe this role as ‘product analytics’.
<br><br>
<b>You might thrive in this role if you:</b><br>
Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).
<br><br>
Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
<br><br>
Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
<br><br>
Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
<br><br>
Solid understanding of Spark and ability to write, debug and optimize Spark code.
<br><br>
This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.
<br><br>
About OpenAI
<br><br>
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.
<br><br>
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.
<br><br>
For additional information, please see
<br><br>
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
<br><br>
.
<br><br>
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.
<br><br>
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
<br><br>
this form
<br><br>
. No response will be provided to inquiries unrelated to job posting compliance.
<br><br>
We are committed to providing reasonable accommodations to applicants with disabilities.
<br><br>
OpenAI Global Applicant Privacy Policy
<br><br>
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.
<br><br>
Compensation
<br><br>
$293K – $325K + Offers Equity

Data Engineer, Finance

Hayden AI

<div><div><p>Location</p><div>
San Francisco HQ Office</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Hybrid</div></div><div><p>
Department</p><div><div>
Operations</div><p>
Field Services</p></div></div><div><p>
Compensation</p><ul><div><p>
$30 &ndash; $39 per hour &bull; Offers Equity &bull; Offers Bonus</p></div></ul><div><div>
We determine fair compensation for each position by considering market rates, qualifications, experience, and location.
<br>
<br>
This job posting reflects a salary range based on different levels within the position, which are primarily determined by location. Your interview performance will help us determine your base salary offer within this range.<br>
<br>
Keep in mind that salary is just one piece of Hayden's total compensation package. We also offer equity and a company-wide bonus plan. Additional benefits are shared as part of this job posting.</div><div></div><h1 class="jobSectionHeader"><b>
Benefits and Perks</b></h1><div>
There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in a wide range of fields (AI, Computer Vision, Government Contracting, Systems &amp; Device Engineering, Operations, Communications, and more!)</div><ul><li><div>
Options for medical, dental, and vision coverage for employees and dependents (for US employees)</div></li><li><div>
Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)</div></li><li><div>
401(k) with 3% company matching</div></li><li><div>
Unlimited PTO</div></li><li><div>
Daily catered lunches in our San Francisco office</div></li></ul><div><br>
At Hayden AI, we are committed to creating an inclusive and diverse workplace where everyone is treated with respect and dignity. We believe that our differences make us stronger and drive innovation. As an equal opportunity employer, we do not discriminate against any employee or applicant based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. We are dedicated to fostering a work environment that celebrates diversity and ensures that every individual has the opportunity to contribute to our mission and achieve their full potential.
<br>
<br>
Please do not forward resumes to our jobs alias, Hayden AI employees or any other company location. Hayden AI is not responsible for any fees related to unsolicited resumes.</div></div></div></div>
<br><div><div><div><b>About Us</b></div><p>
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.</p><p>
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.</p><p><b><br>
What the job involves</b><br>
<br>
In this role, you are the first line of support in maintaining our equipment uptime and system performance. You will monitor our roadside environment, troubleshoot hardware/software issues, and escalate more complex problems as needed. Ensuring timely and effective support for remote field operations, using proprietary tools, industry standard ticketing systems, and clear communication to resolve incidents efficiently.</p><p></p><p><b>
Responsibilities:
</b></p><ul><li><div>Reports directly to the Sr. Manager of Field Services</div></li><li><div>
Provide Tier 1 support for our endpoint devices</div></li><li><div>
Monitor the production, pilot and test fleets, responding to issues and client reported escalations.</div></li><li><div>
Create and manage ticket queues for quick resolution to issues.</div></li><li><div>
Monitor all automated alerts and report any issues that may impact the production fleet.</div></li><li><div>
Follow an established set of processes while handling issues escalating unresolved issues to our engineering team.</div></li><li><div>
Partner with and provide support to senior members of the team in creating reports and updating dashboards on system health.</div></li><li><div>
Root cause analysis and problem resolution follow-up</div></li><li><div>
Handle incoming support calls or messages, log them in the ticketing system</div></li><li><div>
Assist field technicians with troubleshooting steps for our field devices</div></li><li><div>
Participate in larger scale projects lead by senior members of the team or engineering</div></li></ul><p><b><br>
Required Qualifications:</b></p><ul><li><div>
Bachelor&rsquo;s degree preferred.</div></li><li><div>
1-2 years of experience in a technical support role</div></li><li><div>
Comfortable with various SW tools, such as JIRA, Smartsheet, Excel and Google Sheets</div></li><li><div>
Excellent analytical and problem-solving skills</div></li><li><div>
Hands-on approach in taking charge of issues and seeing them through to resolution.</div></li><li><div>
Ability to operate under deadlines while still meeting standards.</div></li></ul></div></div><p></p>

Field Support Coordinator

Samba TV

<div>
 <p>
  <strong>
   Samba is an AI-powered media intelligence company on a mission to give marketers the complete picture of their audiences. Our AI indexes media consumption across millions of smart TVs and 2.5 billion web pages, combining that data with third-party signals through the Samba Knowledge Graph, a map of the real interests, behaviors, and purchase intent of 1.5 billion user profiles globally. Brands, agencies, publishers, and platforms use Samba to make smarter decisions across every stage of the marketing funnel.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Samba is looking for a Director of Content Marketing to lead and elevate our content strategy end-to-end. In this role, you will build a high-performing content engine, our own editorial newsroom, powered by Samba&rsquo;s unmatched media intelligence across TV, web, and emerging platforms. You&rsquo;ll shape the stories that define our brand, showcasing our industry-leading TV and digital viewership data, AI/ML innovations, agentic workflow solutions, and next-generation ad tech products.&nbsp;
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 </p>
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  As a senior leader operating at the intersection of advanced AI technology and programmatic advertising, you will translate complex data science concepts into clear, compelling content that engages advertisers, agencies, publishers, and technology partners. You will own the full content lifecycle from ideation to distribution, while partnering closely with Product Marketing, PR, Sales, Technical teams, and executive leadership to ensure alignment and impact across the organization. You will manage a small scale high performing team. Deliverables will depend on your storytelling skills and ability to project manage creation of snackable quick visual bites of insights (charts, infographics, etc), as well as shorter reports.
 </p>
 <p>
  <p>
   <br/>
  </p>
  <strong>
   What You'll Do
  </strong>
  <ul>
   <br/>
   <li>
    <strong>
     Content Strategy &amp; Execution
    </strong>
    <br/>
    <ul>
     <br/>
     <li>
      Build and lead a high-performing content engine, our editorial newsroom, leveraging Samba&rsquo;s cross-screen media intelligence.
     </li>
     <br/>
     <li>
      Drive a focused content strategy aligned with launches, GTM priorities, and audience needs.
     </li>
     <br/>
     <li>
      Produce high-impact, multi-format content (reports, visuals, articles, social, case studies, videos, enablement).
     </li>
     <br/>
     <li>
      Translate complex data and AI/ML concepts into clear, snackable narratives.
     </li>
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     <li>
      Create repeatable storytelling frameworks around cross-screen insights, measurement, AI audiences, and ad effectiveness.
     </li>
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     <li>
      Own the content calendar end-to-end for timely, high-quality output.
     </li>
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     <li>
      Collaborate with data science, product, and engineering for accuracy and clarity.
     </li>
     <br/>
    </ul>
    <br/>
   </li>
   <br/>
   <li>
    <strong>
     Thought Leadership &amp; Brand Storytelling
    </strong>
    <br/>
    <ul>
     <br/>
     <li>
      Position Samba as the leader in AI-driven advertising, cross-screen measurement, and the future of streaming.
     </li>
     <br/>
     <li>
      Partner with PR/Comms on executive thought leadership, media narratives, and analyst/conference content.
     </li>
     <br/>
     <li>
      Identify content opportunities from trends, competition, customer insights, and internal innovation.
     </li>
     <br/>
     <li>
      Ensure narrative consistency across touchpoints and develop strong customer stories that demonstrate ROI.
     </li>
     <br/>
    </ul>
    <br/>
   </li>
   <br/>
   <li>
    <strong>
     Social &amp; Distribution
    </strong>
    <br/>
    <ul>
     <br/>
     <li>
      Manage and optimize distribution across LinkedIn, X, and other channels.
     </li>
     <br/>
     <li>
      Lead social strategy to amplify thought leadership and product news.
     </li>
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     <li>
      Monitor engagement and performance to refine content decisions
     </li>
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     <li>
      Collaborate with Digital Marketing to support GEO, SEO, SEM, and paid promotion.
     </li>
     <br/>
    </ul>
    <br/>
   </li>
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  </ul>
  <p>
   <br/>
  </p>
  <strong>
   Who You Are
  </strong>
  <ul>
   <br/>
   <li>
    <span>
     7-10+ years in content marketing; bonus if in ad tech, martech, data platforms, or SaaS.
    </span>
   </li>
   <br/>
   <li>
    <span>
     Comfortable and excited about creating content topics around AI/ML, data science, predictive analytics, and AI-driven marketing.
    </span>
   </li>
   <br/>
   <li>
    <span>
     Hands-on use of AI tools (e.g., GPT, Claude, autonomous agents, orchestration frameworks).
    </span>
   </li>
   <br/>
   <li>
    <span>
     Can work independently driving projects end-to-end, while also managing a team of high - performers.
    </span>
   </li>
   <br/>
   <li>
    <span>
     Exceptional writer/storyteller able to simplify technical concepts for varied audiences.
    </span>
   </li>
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   <li>
    <span>
     Full-stack creator for visual form content, long-form reports, and social posts
    </span>
   </li>
   <br/>
   <li>
    <span>
     Curious, collaborative, and effective across Product, Sales, Marketing, and Exec teams.
    </span>
   </li>
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   <li>
    <span>
     Learns quickly and thrives in fast-changing environments.
    </span>
   </li>
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   <li>
    <span>
     Bias for action&amp;mdash;ships, learns, iterates.
    </span>
   </li>
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   <li>
    <span>
     Writes in a clear, human, on-brand voice.
    </span>
   </li>
   <br/>
   <li>
    <span>
     Comfortable speaking at conferences.
    </span>
   </li>
   <br/>
   <li>
    <span>
     BA in Marketing, Communications, Journalism; advanced degree a plus.
    </span>
   </li>
   <br/>
  </ul>
  <br/>
  &nbsp;
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <br/>
 <p>
  <span>
   Samba expects to offer a base salary between $170,000 - $180,000 per year for roles to be performed in New York or California; actual base salary offered will depend on various factors, including but not limited to, location, experience, and performance. Base salary is just one component of Samba&rsquo;s total compensation package for employees. Other rewards may include bonuses, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.&nbsp;&nbsp;We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
  </strong>
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  <span>
   Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law.
  </span>
  <strong>
   For further details, please see Samba's
  </strong>
  <strong>
   Applicant Privacy Policy
  </strong>
  <strong>
   .
  </strong>
  <strong>
   For residents of the EU , Samba Inc. is the data controller.
  </strong>
 </p>
</div>


Director of Content Marketing

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