machine learning engineer Jobs in San Francisco

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data scientist, product analytics Jobs in San Francisco

data scientist, product analytics

senior data engineer Jobs in San Francisco

senior data engineer

accounting analyst

data analytics developer

Data Scientist, Product Analytics

<div>
 As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 <br/>
 <br/>
 Data Engineer, Product Analytics Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  </li>
  <li>
   Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  </li>
  <li>
   Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
  </li>
  <li>
   Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  </li>
  <li>
   Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  </li>
  <li>
   Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  </li>
  <li>
   Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  </li>
  <li>
   Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  </li>
  <li>
   Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  </li>
  <li>
   Influence product and cross-functional teams to identify data opportunities to drive impact
  </li>
  <li>
   Mentor team members by giving/receiving actionable feedback
   <br/>
   <br/>
  </li>
 </ul>
 Minimum Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  </li>
  <li>
   7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  </li>
  <li>
   7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)
   <br/>
   <br/>
  </li>
 </ul>
 Preferred Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Master's or Ph.D degree in a STEM field
   <br/>
   <br/>
  </li>
 </ul>
 About Meta:
 <br/>
 <br/>
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 <br/>
 <br/>
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 <br/>
 <br/>
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 <br/>
 <br/>
 $177,000/year to $247,000/year + bonus + equity + benefits
 <br/>
 <br/>
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.
</div>


Data Engineer, Product Analytics

Whatnot

<div>
 <strong>
  <strong>
   🚀 Join the Future of Commerce with Whatnot!
   <br/>
   <br/>
  </strong>
 </strong>
 Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We&rsquo;re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we&rsquo;re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, Poland, and Australia, we&rsquo;re building the future of online marketplaces &ndash;together.
 <br/>
 <br/>
 From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.
 <br/>
 <br/>
 And we&rsquo;re just getting started! As one of the fastest growing marketplaces, we&rsquo;re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.
 <br/>
 <br/>
 <strong>
  💻 Role
  <br/>
  <br/>
 </strong>
 As Whatnot rapidly scales, data is central to shaping our product strategy and helping us build delightful, high-performing experiences for both buyers and sellers. We&rsquo;re looking for a
 <strong>
  Product Data Scientist
 </strong>
 who will partner closely with Product, Engineering, Design, and Operations to drive insights, experimentation, and decision-making across the company.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <strong>
  🔍 Generate Insights &amp; Shape Product Direction
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Define and own the KPIs that measure product health, user engagement, and marketplace performance.
  </li>
  <li>
   Analyze user behavior, product usage patterns, and marketplace dynamics to identify opportunities and inform product priorities.
  </li>
  <li>
   Translate complex data into actionable recommendations for product and leadership teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🧪 Drive Experimentation &amp; Measurement
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts.
  </li>
  <li>
   Develop frameworks for causal inference, impact measurement, and long-term product evaluation.
  </li>
  <li>
   Build scalable methodologies to understand feature performance and guide iteration.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🛠 Build Data Products &amp; Tools
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot.
  </li>
  <li>
   Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product features.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🤝 Lead Cross-Functional Collaboration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advocate for data-driven decision-making and foster a culture of measurement across the product organization.
  </li>
  <li>
   Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
  </li>
  <li>
   Serve as a thought partner to product leads, shaping how we build, launch, and iterate on experiences across the platform.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  US Based
  <br/>
  <br/>
 </strong>
 <strong>
  We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
  <br/>
  <br/>
 </strong>
 <strong>
  👋 You
  <br/>
  <br/>
 </strong>
 Curious about who thrives at Whatnot? We&rsquo;ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here.
 <br/>
 <br/>
 <strong>
  🎓 Experience &amp; Expertise
  <br/>
  <br/>
 </strong>
 As our next
 <strong>
  Product Data Scientist
 </strong>
 , you bring:
 <br/>
 <br/>
 <ul>
  <li>
   3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization.
  </li>
  <li>
   A bachelor&rsquo;s degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience.
  </li>
  <li>
   Proven experience applying statistical and analytical methods to real-world product problems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🧠 Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT.
  </li>
  <li>
   Proficiency with Python or R for data analysis, modeling, and experimentation.
  </li>
  <li>
   Experience designing and analyzing A/B tests and understanding causal inference techniques.
  </li>
  <li>
   Strong data visualization skills and familiarity with BI tools for building interactive dashboards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🗣 Collaboration &amp; Leadership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders.
  </li>
  <li>
   Experience leading cross-functional projects and influencing product strategy with data.
  </li>
  <li>
   Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  💰Compensation
  <br/>
  <br/>
 </strong>
 <strong>
  For Full-Time (Salary) US based applicants:
 </strong>
 $185,000/year to $240,000/year + benefits + equity.
 <br/>
 <br/>
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 <br/>
 <br/>
 <strong>
  🎁 Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
  </li>
  <li>
   Health Insurance options including Medical, Dental, Vision
  </li>
  <li>
   Work From Home Support
  </li>
  <ul>
   <li>
    Home office setup allowance
   </li>
   <li>
    Monthly allowance for cell phone and internet
   </li>
  </ul>
  <li>
   Care benefits
  </li>
  <ul>
   <li>
    Monthly allowance for wellness
   </li>
   <li>
    Annual allowance towards Childcare
   </li>
   <li>
    Lifetime benefit for family planning, such as adoption or fertility expenses
   </li>
  </ul>
  <li>
   Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  </li>
  <li>
   Monthly allowance to dogfood the app
  </li>
  <ul>
   <li>
    All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
   </li>
  </ul>
  <li>
   Parental Leave
  </li>
  <ul>
   <li>
    16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
   </li>
  </ul>
 </ul>
 <strong>
  <strong>
   💛 EOE
   <br/>
   <br/>
  </strong>
 </strong>
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 <br/>
 <br/>
 Compensation Range: $185K - $240K
 <br/>
 <br/>
</div>


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

Logic, Inc.

<div><div>Full Stack LLM Development Analyst | Early Career | Full time
</div><div>Job No. R00312073 | San Francisco, CA</div></div>
<br><div><div><div><p>Accenture's Global AI &amp; Data practice is leading the market in the age of AI, implementing the most cutting-edge AI-based solutions responsibly for the world's top organizations. Accelerate your AI career in our AI &amp; Data Development Program to learn and apply AI and data skills to reinvent businesses and transform industries</p></div><p></p><div><p><b><br>
Your Role</b></p></div><div><p>
There is never a typical day at Accenture, but that&rsquo;s why people love it here! Unleash your skills and transform the world around you. Dive into AI &amp; data projects with your teammates and roll up your sleeves to uncover insights from complex datasets. Use your programming skills to perform data collection, data mining, and data analysis. Develop innovative and cutting-edge solutions to business problems using AI and machine learning techniques. Stay updated with the latest advancements in AI and Gen AI technologies and apply them to projects. Work closely with - and learn from - our deep AI &amp; data experts and business leaders to quickly build your skills and to innovate.</p></div><p></p><div><p><b>
Your Experience</b></p></div><div><p>
We are looking for forward-looking uber developers with high learning agility who can work in entrepreneurial way to solve real business problems using the latest technologies.</p></div><p></p><div><p>
Internship program is full-time and starts on June 8th and runs through August 14th, 2026.</p></div><p></p><div><p>
The work location for this role requires working onsite with our clients and partners or in our offices and delivery centers to enable delivery and cultivate our client relationships. Candidates being considered for the role are expected to travel to Mountain View and client sites as needed.
</p></div><p></p><div><p>Please note that with all our roles, you should expect to be in-person for collaboration, learning and building relationships with clients, peers, leaders and communities.</p><p></p><p>
#LI-DNI</p><p>
#IND-DNI</p></div></div></div>
<br><div><p>Here&rsquo;s what you need:</p>
<div>
<div><ul><li><p>Bachelor&rsquo;s Degree in Computer Science, Computer Engineering, Data Science, or related field</p></li><li>
<p>Work or upper division level coursework experience with at least one programming language (e.g., Java, C++)</p></li><li>
<p>Work or coursework experience in data systems / network design <b>OR</b> Artificial Intelligence design including computational science, machine learning or AI full stack development</p></li><li>
<p>Anticipated graduation date (at the time of application) of December 2026 through August 2028</p></li></ul>
</div><p></p><div><p>Bonus points if you have:</p>
</div><div><ul><li><p>Experience in Hackathons or AI &amp; Data competitions (e.g., Kaggle Competitions)</p></li><li>
<p>Open source contributions</p></li><li>
<p>Peer reviewed publications</p></li><li>
<p>AI / Gen AI certifications
</p></li><li><p>Concentration/Minor or Specialization in Artificial Intelligence, Applied Math, or Data Science</p></li><li>
<p>3.3 Minimum GPA</p></li></ul>
<p></p><p>Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.<br>
We anticipate this job posting will be posted until 04/10/2026.</p>
<p>Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture</p>
<p></p><p>Role Location Hourly Salary Range</p>
<p>California $32.00 to $35.00</p>
<p>Cleveland $32.00 to $35.00</p>
<p>Colorado $32.00 to $35.00</p>
<p>District of Columbia $32.00 to $35.00</p>
<p>Illinois $32.00 to $35.00</p>
<p>Maryland $32.00 to $35.00</p>
<p>Massachusetts $32.00 to $35.00</p>
<p>Minnesota $32.00 to $35.00</p>
<p>New York $32.00 to $35.00</p>
<p>New Jersey $32.00 to $35.00</p>
<p>Washington $32.00 to $35.00</p></div></div></div>
<br><div><p>San Francisco, CA</p></div>
<br><div><p><b>Requesting an Accommodation</b></p>
<p>
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.</p>
<p>
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.</p><br>
<p></p>
<p><b>
Equal Employment Opportunity Statement</b></p>
<p>
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.</p><br>
<p></p>
<p>
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.</p>
<p>
Accenture is committed to providing veteran employment opportunities to our service men and women.</p><br>
<p></p>
<p><b>
Other Employment Statements</b></p>
<p>
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.</p>
<p>
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.</p>
<p>
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.<br>
<br>
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.</p>
<p>
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please for additional important information.</p>
<p>
Please read Accenture&rsquo;s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.</p></div>
<br><div><p>We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.</p>
<p>
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.</p>
<p>
At Accenture, we see well-being holistically, supporting our people&rsquo;s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We&rsquo;re proud to be consistently recognized as one of the World&rsquo;s Best Workplaces&trade;.</p>
<p>
Join Accenture to work at the heart of change. Visit us at www.accenture.com.</p></div>

Global AI & Data Development Program â€“ AI & Data Developer Summer Analyst â€“ San Francisco â€“ NAELFY26

GoodLeap

<div><div>About GoodLeap:</div><div>
GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap&rsquo;s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018.</div><div>
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GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.</div><div></div><h3 class="jobSectionHeader"><b><br>
Position Summary</b></h3>
<div>We are seeking a Staff Analytics Engineer with skills in pipeline development and data modeling to support data enablement and operational reporting for our Corporate teams, including legal, compliance, and accounting. Our ideal candidate has a strong foundation in pipeline development, data modeling, and integration with third-party data tools, and a proven track record of working with business teams to understand and enable their data needs. In this role, you will work closely with business stakeholders and other members of the Analytics team to structure data for easy access and analysis and to maintain and expand on data reports used by Corporate teams. As Corporate teams use data generated in all parts of the business, you will have the opportunity to work closely with other members of the Analytics team to learn about a range of datasets and determine how best to surface them to Corporate teams, and to contribute to foundational projects to empower analysts and business users across the company with more and easier access to data.</div>
<h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul>
<li>Engage with stakeholders and business teams to understand priorities and identify opportunities to advance their analytics solutions</li>
<li>Provide support to stakeholders by triaging requests, investigating data issues, and building tools and processes to support data needs.</li>
<li>Develop datasets and dashboards within an agile framework.</li>
<li>Share new data tools with non-technical stakeholders and educate end users on how best to access the data they need.</li>
<li>Assist business users in identifying and deploying the right tool for each use case, including performing new tool and technology evaluations.</li>
<li>Work with other members of the Analytics team to define, implement, and test new data sources and pipelines and ensure that new reports are built on consistent, reliable, and maintainable data foundations.</li>
<li>Provide input to Data Engineering on requirements and enhancements to existing data ingestions, pipelines, and platforms.</li>
</ul><h3 class="jobSectionHeader"><b>Requirements</b></h3><ul>
<li>BS in Computer Science, DS, or related technical degree or equivalent work experience</li>
<li>6-10 years' experience as an Analytics Engineer, BI Analyst, Data Analyst, or similar role</li>
<li>5+ years' hands-on SQL experience in a work environment</li>
<li>Experience with data management, documenting process and data flows, and ensuring data quality</li>
<li>Experience with ETL processes, software development, and lifecycle awareness</li>
<li>Strong communication skills, including the ability to clearly describe technical work to non-technical stakeholders</li>
<li>Demonstrated ability to quickly learn new technologies and think critically about their strengths and weaknesses</li>
<li>Analytical mindset and willingness to identify and question assumptions</li>
</ul><div>In addition to the above salary, this role may be eligible for a bonus and equity.</div><div><b>
Additional Information Regarding Job Duties and Job Descriptions:</b></div><div></div><div><br>
Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.</div><div></div><div><b><br>
If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!</b></div><div></div><div><br>
We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our <b>Employment Privacy Policy</b> and <b>Recruiting Policy on AI</b>.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Staff Analytics Engineer, Corporate

Airbyte

<div><p>Airbyte is the open‑source standard for data movement. We've enabled data teams to move data from applications, APIs, unstructured sources and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors built and hundreds of thousands of companies adopting Airbyte, we've proven the economics of data integration at scale. And now Airbyte is building the frontier agentic data infrastructure, purpose-built for AI agents that need fast, accurate access to data across hundreds of sources. Our mission: make data available and actionable, everywhere.</p><p></p><p>
We've raised $181M from the world's top investors (Benchmark, Accel, Altimeter, Coatue, Y Combinator, etc.) and we believe in product-led growth, where we build something awesome that all our users love. We&rsquo;ve raised enough capital to explore boldly, but we still choose to move quickly, stay scrappy, and experiment constantly as we find the right paths in an AI-native landscape.</p><p></p><h2 class="jobSectionHeader"><b>
The Role:</b></h2><p>
As a Senior Product Advocate at Airbyte, you will be a key hire bridging marketing and the developer community for our new agentic data infrastructure product. You'll create technical content, build demos, and represent Airbyte in the AI engineering community. If you're someone who can build a compelling product demo and then turn that into a blog post, video walkthrough, or conference talk, this is the role for you.</p><p></p><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Do:</b></h2><ul><li><p>
Build demos, sample projects, and technical walkthroughs that showcase how Airbyte's agentic data infrastructure gives AI agents fast, accurate access to business data</p></li><li><p>
Create technical content including blog posts, tutorials, and video walkthroughs that educate the AI engineering community and drive inbound interest</p></li><li><p>
Collaborate closely with Marketing to amplify product messaging, support campaigns, and grow awareness among AI engineers</p></li><li><p>
Partner with AI framework teams (LangChain, Pydantic AI, CrewAI, and others) to build integrations and co-create content</p></li><li><p>
Represent Airbyte at meetups, conferences, and online communities in the AI agent ecosystem</p></li><li><p>
Engage with developers across GitHub, Discord, Twitter/X, and YouTube, answering questions, gathering feedback, and spotlighting community projects</p></li><li><p>
Work with influencers and technical creators in the AI engineering community to expand Airbyte's reach</p></li><li><p>
Bring customer and community insights back to Product, Engineering, and Marketing to inform roadmap and positioning</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Need:</b></h2><ul><li><p>
3+ years of technical experience in a customer-facing or community-facing role, such as developer relations, technical content creation, solutions engineering, or technical support</p></li><li><p>
Strong written and verbal communication skills, with the ability to make complex technical topics clear and compelling</p></li><li><p>
Technical foundation (whether through a degree, bootcamp, or hands-on experience) that enables you to continuously deepen your understanding of Airbyte's technology and the AI agent ecosystem</p></li><li><p>
Comfort working with AI coding tools to build demos, prototypes, and sample projects. You don't need to be a software engineer, but you should be able to ship things</p></li><li><p>
A builder mentality. You're comfortable getting hands-on with the product, creating demos, and shipping content</p></li><li><p>
Comfort operating in a fast-paced, early-stage environment where the playbook is still being written</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Nice To Have:</b></h2><ul><li><p>
Experience creating technical content (blog posts, videos, tutorials) for a developer audience</p></li><li><p>
Comfortable on camera for video walkthroughs, conference talks, or podcast appearances</p></li><li><p>
Familiarity with AI agent frameworks like LangChain, CrewAI, Pydantic AI, or similar projects</p></li><li><p>
Familiarity with data infrastructure concepts like ELT, CDC, and real-time sync</p></li><li><p>
Previous experience in both marketing and developer relations or community roles</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Location:</b></h2><ul><li><p>
Onsite 5 days/week in San Francisco, CA</p></li></ul><p></p><p>
If you find this role exciting, we encourage you to apply even if you think you don&rsquo;t meet all of the requirements!</p><p></p><p><i>
Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</i></p><p></p><p><i>
Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability.</i></p><p>
Compensation Range: $130K - $150K</p></div>

Senior Product Advocate

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