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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

HappyRobot

<div>
 <strong>
  About HappyRobot
  <br/>
  <br/>
 </strong>
 HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide.
 <br/>
 <br/>
 Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company.
  </li>
  <li>
   Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company.
  </li>
  <li>
   Build and maintain robust data pipelines and models to ensure data quality.
  </li>
  <li>
   Partner with Product, Engineering, and Design teams to inform decisions.
  </li>
  <li>
   Translate complex data into clear, actionable insights for product teams.
  </li>
  <li>
   Love working with data. Love making product better. Love finding the story behind the numbers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Define, build, and maintain product metrics, dashboards, and pipelines.
  </li>
  <li>
   Write SQL and Python code to extract, transform, and analyze data.
  </li>
  <li>
   Design and run experiments (A/B tests) to support product development.
  </li>
  <li>
   Proactively explore data to identify product opportunities and insights.
  </li>
  <li>
   Collaborate with cross-functional teams to ensure data-driven decisions.
  </li>
  <li>
   Ensure data quality, reliability, and documentation across analytics efforts.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience as an Analytics Data Engineer or similar Data Science &amp; Analytics roles.
  </li>
  <li>
   Strong SQL and data engineering skills to transform data into accurate, clean data models (e.g., dbt, Airflow, data warehouses).
  </li>
  <li>
   Proficiency in Python for data analysis and modeling.
  </li>
  <li>
   Excellent communication skills: able to explain complex data insights clearly.
  </li>
  <li>
   Curious, collaborative, and driven to make an impact in a fast-paced environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in B2B SaaS or AI/ML products.
  </li>
  <li>
   Familiarity with product analytics tools (e.g., Mixpanel, Amplitude).
  </li>
  <li>
   Exposure to machine learning concepts or AI-powered systems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why join us?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Opportunity to work at a high-growth AI startup, backed by top investors.
  </li>
  <li>
   Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.
  </li>
  <li>
   Ownership &amp; Autonomy - Take full ownership of projects and ship fast.
  </li>
  <li>
   Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
  </li>
  <li>
   Comprehensive Benefits - Healthcare, dental, vision coverage.
  </li>
  <li>
   Work With the Best - Join a world-class team of engineers and builders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Operating Principles
  <br/>
  <br/>
 </strong>
 <em>
  <strong>
   Extreme Ownership
   <br/>
   <br/>
  </strong>
 </em>
 We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting &mdash; if something needs fixing, we own it and make it better. This means stepping up, even when it&rsquo;s not &ldquo;your job.&rdquo; If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don&rsquo;t wait for someone else to solve it &mdash; we lead with accountability and expect the same from those around us.
 <br/>
 <br/>
 <em>
  <strong>
   Craftsmanship
   <br/>
   <br/>
  </strong>
 </em>
 Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for &ldquo;just fine.&rdquo; We sweat the details because details compound. Whether it&rsquo;s a product feature, an internal doc, or a sales call &mdash; we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build &mdash; even when nobody&rsquo;s watching.
 <br/>
 <br/>
 <em>
  <strong>
   We are &ldquo;majos&rdquo;
   <br/>
   <br/>
  </strong>
 </em>
 Be friendly &amp; have fun with your coworkers. Always be genuine &amp; honest, but kind. &ldquo;Majo&rdquo; is our way of saying: be a good human. Be approachable, helpful, and warm. We&rsquo;re building something ambitious, and it&rsquo;s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.
 <br/>
 <br/>
 <em>
  <strong>
   Urgency with Focus
   <br/>
   <br/>
  </strong>
 </em>
 Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We&rsquo;re running a high-speed marathon &mdash; not a sprint with no strategy.
 <br/>
 <br/>
 <em>
  <strong>
   Talent Density and Meritocracy
   <br/>
   <br/>
  </strong>
 </em>
 Hire only people who can raise the average; &lsquo;exceptional performance is the passing grade.&rsquo; Ability trumps seniority. We believe the best teams are built on talent density &mdash; every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players &mdash; that&rsquo;s how we win.
 <br/>
 <br/>
 <em>
  <strong>
   First-Principles Thinking
   <br/>
   <br/>
  </strong>
 </em>
 Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don&rsquo;t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It&rsquo;s how we build what others think is impossible.
 <br/>
 <br/>
 <em>
  The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.
  <br/>
  <br/>
 </em>
 <em>
  By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.
  <br/>
  <br/>
 </em>
 <em>
  In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.
  <br/>
  <br/>
 </em>
 <em>
  If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.
  <br/>
  <br/>
 </em>
 <em>
  For more information, visit
 </em>
 <em>
  https://www.happyrobot.ai/privacy-policy
  <br/>
  <br/>
 </em>
 <em>
  By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.
 </em>
</div>


Data Engineer

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

Figma

<div>
 Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma&rsquo;s platform helps teams bring ideas to life&mdash;whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
 <br/>
 <br/>
 We are looking for an experienced Data Engineer to partner with our Data Science and Data Infrastructure teams to own and scale our data pipelines. You&rsquo;ll also work closely with stakeholders across business teams including sales, marketing, and finance to ensure that the data they need arrives promptly and reliably. You&rsquo;ll play an integral role in building the metrics and self-serve reporting capabilities to unlock Figma&rsquo;s next phase of growth.
 <br/>
 <br/>
 This is a great role for an individual who is passionate about working with data and data systems, and who loves solving problems. You&rsquo;ll have a good sense for when it makes sense to build fast, scrappy solutions to unblock a key stakeholder vs. when to push back or bring in an outside service. The ideal candidate will be a great communicator who can help coordinate across multiple internal and external teams and takes pride in building end-to-end projects.
 <br/>
 <br/>
 This is a full time role that can be held from one of our US hubs or remotely in the United States.
 <br/>
 <br/>
 <strong>
  What you'll do at Figma
 </strong>
 <strong>
  :
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own, build, and maintain scalable data pipelines that connect various cloud data sources.
  </li>
  <li>
   Develop a deep understanding of Figma&rsquo;s core data models and optimize data pipelines for scale.
  </li>
  <li>
   Partner with the Data Science and Data Infrastructure teams to build new foundational data sets that are trusted, well understood, and enable self-service.
  </li>
  <li>
   Work with a wide range of cross-functional stakeholders to derive requirements and architect shared datasets; ability to document, simplify and explain complex problems to different types of audiences.
  </li>
  <li>
   Establish best practices for the development of specialized data sets for analytics and modeling.
   <br/>
   <br/>
  </li>
 </ul>
 We'd love to hear from you if you have:
 <br/>
 <br/>
 <ul>
  <li>
   4+ years in a relevant field.
  </li>
  <li>
   Fluency with both SQL and Python.
  </li>
  <li>
   Familiarity with Snowflake, dbt, Dagster, and ETL/reverse ETL tools.
  </li>
  <li>
   Excellent judgment and creative problem solving skills.
  </li>
  <li>
   A self-starting mindset along with strong communication and collaboration skills.
   <br/>
   <br/>
  </li>
 </ul>
 While not required, it&rsquo;s an added plus if you also have:
 <br/>
 <br/>
 <ul>
  <li>
   Knowledge in data modeling methodologies to design and build robust data architectures for insightful analytics.
  </li>
  <li>
   Experience with business systems such as Salesforce, Customer IO, Stripe, NetSuite is a big plus.
   <br/>
   <br/>
  </li>
 </ul>
 At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
 <br/>
 <br/>
 <strong>
  Pay Transparency Disclosure
  <br/>
  <br/>
 </strong>
 If based in Figma&rsquo;s San Francisco or New York hub offices, this role has the annual base salary range stated below.
 <br/>
 <br/>
 Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.
 <br/>
 <br/>
 Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental &amp; vision, retirement with company contribution, parental leave &amp; reproductive or family planning support, mental health &amp; wellness benefits, generous PTO, company recharge days, a learning &amp; development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma&rsquo;s compensation and benefits are subject to change and may be modified in the future.
 <br/>
 <br/>
 Annual Base Salary Range:
 <br/>
 <br/>
 $140,000&mdash;$348,000 USD
 <br/>
 <br/>
 At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
 <strong>
  ,
 </strong>
 or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
 <br/>
 <br/>
 We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
 <br/>
 <br/>
 Examples of accommodations include but are not limited to:
 <br/>
 <br/>
 <ul>
  <li>
   Holding interviews in an accessible location
  </li>
  <li>
   Enabling closed captioning on video conferencing
  </li>
  <li>
   Ensuring all written communication be compatible with screen readers
  </li>
  <li>
   Changing the mode or format of interviews
   <br/>
   <br/>
  </li>
 </ul>
 To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
 <br/>
 <br/>
 By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
</div>


DocuSign

<div><h2 class="jobSectionHeader"><b>Company Overview</b></h2><div><br>
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).</div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You'll Do</b></h2><p><br>
We are seeking an experienced, visionary Sr. Product Manager to lead the development of AI-powered data solutions that drive marketing productivity. In this role, you will define and execute the product strategy for reporting, analytics, and agentic solutions that empower our internal Marketing teams. You will collaborate closely with Marketing stakeholders, engineering, data science, and Operation teams to deliver impactful data products that streamline marketing operations and maximize marketing effectiveness. Your work will be instrumental in enabling Docusign&rsquo;s growth by providing actionable insights and automation to our field seller community.</p><p></p><p><br>
This position is an individual contributor role reporting to the Director of Product Management, Global Data &amp; Analytics.</p><p></p><div><p><b><br>
Responsibility</b></p></div><ul><li><p>
Develop and execute the product roadmap for AI-powered reporting, analytics, and agentic solutions that enhance marketing productivity</p></li><li><p>
Own the strategy and delivery of intelligent enterprise data solutions that streamline marketing operations using AI-first principles</p></li><li><p>
Partner closely with the internal marketing stakeholders to deeply understand the marketing programs and identify productivity opportunities through data and AI</p></li><li><p>
Collaborate with Marketing Operations and Performance Marketing teams to gather business requirements and translate them into impactful data reporting solutions</p></li><li><p>
Coordinate with data engineering and data science teams to launch and enhance data reporting solutions</p></li><li><p>
Communicate product updates, roadmaps, and impact analyses to leadership and key stakeholders</p></li><li><p>
Leverage data and advanced analytics tools to drive business decisions and measure the impact of new features on sales productivity</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Job Designation</b></h2><div><p><b><br>
Hybrid:</b></p>
Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)</div><div></div><div><p><br>
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.</p></div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You Bring</b></h2><div><p><b><br>
Basic</b></p></div><ul><li><p>
Bachelor&rsquo;s degree in Business, Information Systems, Computer Science, or a related field</p></li><li><p>
8+ years of experience in Product Management or 6+ years with Masters Degree</p></li><li><p>
Experience with SQL skills for data querying, analysis, and validation, demonstrating a strong data product management foundation</p></li><li><p>
Proven track record of driving innovation, vision, and creative problem solving leveraging product management mindset</p></li><li><p>
Experience building, deploying or experimenting with Large Language Models (LLMs) and Generative AI (GenAI) applications</p></li><li><p>
Ability to define a clear product vision, create a product roadmap, and prioritize features based on measurable business value</p></li><li><p>
Experience managing product backlogs, writing detailed user stories, and leveraging JIRA for tracking</p></li></ul><p></p><div><p><b><br>
Preferred</b></p></div><ul><li><p>
Exceptional communication skills to act as the bridge between highly technical Data Science teams, Marketing Executives, and Data Engineering teams</p></li><li><p>
Excellent communication, stakeholder management, and problem-solving abilities</p></li><li><p>
Experience supporting marketing teams and a deep understanding of the Marketing Operations lifecycle</p></li><li><p>
Experience with Salesforce, Tableau, JIRA, and Snowflake</p></li><li><p>
Sufficient technical knowledge to debate solutions and trade-offs with engineers and data scientists, focusing on the what and why rather than the how of the code</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Wage Transparency</b></h2><div><br>
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.</div><div></div><div><br>
Based on applicable legislation, the below details pay ranges in the following locations:</div><div></div><div><br>
California: $140,000.00 - $225,075.00 base salary</div><div></div><div><br>
This role is also eligible for the following:</div><ul><li>
Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.</li><li>
Stock: This role is eligible to receive Restricted Stock Units (RSUs).</li></ul><div></div><div><p><br>
Global benefits</p>
provide options for the following:</div><ul><li>
Paid Time Off: earned time off, as well as paid company holidays based on region</li><li>
Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement</li><li>
Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment</li><li>
Retirement Plans: select retirement and pension programs with potential for employer contributions</li><li>
Learning and Development: options for coaching, online courses and education reimbursements</li><li>
Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events</li></ul><div><p><b>
Work Authorization Notice:
</b></p>Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.</div><br>
<p></p>
<br>
<p></p><h2 class="jobSectionHeader"><b>Life At Docusign</b></h2><div><p><b><br>
Working here</b></p></div><div>
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.</div><div></div><div><br>
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.</div><div></div><div><p><b><br>
Accommodation</b></p></div><div>
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.</div><div></div><div><br>
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.</div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>Our global benefits</b></h3>
<div></div><div><div><div><h4 class="jobSectionHeader"><b>Paid time off</b></h4>
<div>Take time to unwind with earned days off, plus paid company holidays based on your region.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Paid parental leave</b></h4>
<div>Take up to six months off with your child after birth, adoption or foster care placement.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Full health benefits</b></h4>
<div>Options for 100% employer-paid health plans from day one of employment.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Retirement plans</b></h4>
<div>Select retirement and pension programs with potential for employer contributions.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Learning &amp; development</b></h4>
<div>Grow your career with coaching, online courses and education reimbursements.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Compassionate care leave</b></h4>
<div>Paid time off following the loss of a loved one and other life-changing events.</div></div></div></div></div>

Sr. Product Manager

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.<br>
</li>
<li>8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.<br>
</li>
<li>Experience in scientific methodologies and in areas such as LLM.</li>
<li>Experience solving unstructured business problems with data science and translating results into impactful business/product recommendations.</li>
<li>Ability to think critically, analyze complex problems, and develop data-driven solutions.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
In this role, you will work on evaluation, metrics, and user insights for AI answers within Search Health. You will have opportunities to influence Product and Engineering directions through strategic data-driven insights. Furthermore, you will create and apply advanced statistical, Machine Learning (ML), and Large Language Model (LLM) methodologies to solve complex, ambiguous business problems.</p><p>
In Google Search, we're reimagining what it means to search for information &ndash; any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.</p><p>
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Research and develop advanced analysis, causal inference analysis of impact, creatve new methodologies (e.g., LLM-based method) to identify product opportunities from various data sources, product headroom analysis for key AI features.<br>
</li>
<li>Initiate projects inside and across the organization and drive to completion autonomously.<br>
</li>
<li>Frame and solve ambiguous business problems and communicate the solutions effectively.<br>
</li>
<li>Interact cross-functionally, be a thought partner and influence a wide range of product stakeholders.<br>
</li>
<li>Communicate clearly and persuasively and influence product leadership (i.e., VPs and Directors).<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Data Scientist, Research, Search Health

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Staff Data Scientist, Research, Search Health