software engineer

ai engineer

ai engineer (gtm)

ai engineer – remote work Jobs in San Francisco

ai engineer – remote work

field applications engineer Jobs in San Francisco

field applications engineer

ai engineer gtm

HumanSignal

<div>
 <strong>
  The future of AI &mdash; whether in training or evaluation, classical ML or agentic workflows &mdash; starts with high-quality data.
  <br/>
  <br/>
 </strong>
 At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
 <br/>
 <br/>
 Our open-source product,
 <strong>
  Label Studio
 </strong>
 , has become the
 <strong>
  de facto standard
 </strong>
 for labeling and evaluating data across modalities &mdash; from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems.
 <br/>
 <br/>
 <strong>
  Label Studio Enterprise
 </strong>
 builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines &mdash; powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems &mdash; we'd love to talk.
 <br/>
 <br/>
 <strong>
  About the Role
  <br/>
  <br/>
 </strong>
 We're looking for an ambitious AI Engineer to
 <strong>
  transform how our go-to-market team operates
 </strong>
 . San Francisco, Austin, or Lisbon are preferred locations where you can collaborate with team members, but the position is remote or hybrid.
 <br/>
 <br/>
 As the founding GTM engineer, you will architect and build the AI-powered systems that power our entire GTM motion, owning the technology stack, partnering with stakeholders to define the workflows, deploying AI agents and apps, and continuously improving how the company acquires, activates, and grows customers.
 <br/>
 <br/>
 This is a highly hands-on role for someone who enjoys
 <strong>
  shipping systems, experimenting rapidly, and solving messy real-world problems with software.
  <br/>
  <br/>
 </strong>
 <strong>
  Why This Role Matters
  <br/>
  <br/>
 </strong>
 This role is a force multiplier for the entire company. You'll build the infrastructure that allows the GTM team to
 <strong>
  move faster, learn faster, and scale without proportional headcount.
 </strong>
 You'll help us:
 <br/>
 <br/>
 <ul>
  <li>
   Turn GTM from a set of tools into a cohesive, intelligent system
  </li>
  <li>
   Scale workflows without scaling headcount
  </li>
  <li>
   Improve signal quality and timing for marketing and sales
  </li>
  <li>
   Increase learning velocity across the entire funnel
  </li>
  <li>
   Shape how an open-source, bottom-up product grows into enterprise adoption
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <strong>
  Build &amp; Automate the foundational GTM AI stack
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain AI systems across marketing, PLG, sales, and post-signup activation
  </li>
  <li>
   Own integrations and workflows across tools like CRM, marketing automation, product analytics, data warehouse, enrichment tools, and internal services
  </li>
  <li>
   Build internal tools and lightweight services that accelerate GTM teams
  </li>
  <li>
   Replace manual workflows with scalable, automated systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI-Powered Systems &amp; Agents
  <br/>
  <br/>
 </strong>
 Design and deploy
 <strong>
  AI-driven workflows and agents
 </strong>
 that augment GTM teams.
 <br/>
 <br/>
 Examples include:
 <br/>
 <br/>
 <ul>
  <li>
   Lead qualification, inbound lead routing, and enrichment
  </li>
  <li>
   Personalized lifecycle marketing and outbound messaging
  </li>
  <li>
   Sales assist tools for deal intelligence and account research
  </li>
  <li>
   Automated account insights, pipeline analysis, and deal lifecycle management
  </li>
  <li>
   User onboarding, activation, and expansion signals
   <br/>
   <br/>
  </li>
 </ul>
 You'll continuously improve these systems using
 <strong>
  real performance data and feedback loops.
  <br/>
  <br/>
 </strong>
 <strong>
  Growth: PLG + Sales-Assisted Motion
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support a hybrid GTM model where open-source and self-serve users graduate into paid, sales-assisted customers
  </li>
  <li>
   Partner with Data &amp; Growth to build systems that surface product signals (usage, intent, readiness) to marketing and sales teams at the right time
  </li>
  <li>
   Partner closely with Product &amp; Marketing to turn usage insights into GTM leverage
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experimentation &amp; Learning
  <br/>
  <br/>
 </strong>
 Build the infrastructure that allows the GTM team to
 <strong>
  learn quickly and iterate with confidence.
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and run experiments across acquisition, activation, conversion, and expansion
  </li>
  <li>
   Build experimentation frameworks (feature flags, A/B testing, measurement systems)
  </li>
  <li>
   Instrument systems to capture reliable data and insights
  </li>
  <li>
   Rapidly iterate based on results, not assumptions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Feedback Loops &amp; Continuous Improvement
  <br/>
  <br/>
 </strong>
 Create tight feedback loops between users, product signals, and GTM actions.
 <br/>
 <br/>
 <ul>
  <li>
   Partner with head of , accessible, and actionable across teams
  </li>
  <li>
   Turn qualitative and quantitative insights into system improvements
  </li>
  <li>
   Continuously optimize workflows, models, and automation based on real outcomes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We're Looking For
  <br/>
  <br/>
 </strong>
 <strong>
  Core Skills
  <br/>
  <br/>
 </strong>
 This is fundamentally an
 <strong>
  engineering role
 </strong>
 , not traditional GTM operations. We're looking for someone who enjoys
 <strong>
  building systems, not managing tools.
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong engineering background (software, data, or growth engineering)
  </li>
  <li>
   Comfortable shipping production code (APIs, services, scripts, internal tools)
  </li>
  <li>
   Experience working with data pipelines, analytics, and experimentation frameworks
  </li>
  <li>
   Hands-on experience with AI/LLMs, prompt engineering, or agent-based systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Ownership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ability to work cross-functionally with Product, Engineering, Marketing and Sales
  </li>
  <li>
   Comfortable operating with ambiguity and defining the problem as you go
  </li>
  <li>
   Strong communicator who can translate between technical and GTM stakeholders
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with open-source or developer-focused products
  </li>
  <li>
   Familiarity with CRM systems (e.g., Salesforce, HubSpot), CDPs, and marketing automation
  </li>
  <li>
   Experience building internal tools for sales or marketing teams
  </li>
  <li>
   Prior work in B2B SaaS, data, or AI-first companies
  </li>
 </ul>
</div>


AI Engineer (GTM)

Anthropic

<div>
 <strong>
  About Anthropic
  <br/>
  <br/>
 </strong>
 Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As an Analytics Engineer, you will be an early member of the Data Science &amp; Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company&rsquo;s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
  </li>
  <li>
   Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
  </li>
  <li>
   Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
  </li>
  <li>
   Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
  </li>
  <li>
   Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
  </li>
  <li>
   Influence the future roadmap of Product and GTM teams from a data systems perspective
  </li>
  <li>
   Become an expert in our organization&rsquo;s data models and the company's data architecture
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Be a Good Fit If You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience as an Analytics Data Engineer or similar Data Science &amp; Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
  </li>
  <li>
   A passion for the company's mission of building helpful, honest, and harmless AI.
  </li>
  <li>
   Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
  </li>
  <li>
   Expertise in SQL and Python to transform data into accurate, clean data models.
  </li>
  <li>
   Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
  </li>
  <li>
   A bias for action and urgency, not letting perfect be the enemy of the effective.
  </li>
  <li>
   A &ldquo;full-stack mindset&rdquo;, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
  </li>
  <li>
   Experience building an Analytics Data Engineering (or similar) function at start-ups.
  </li>
  <li>
   A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
   <br/>
   <br/>
  </li>
 </ul>
 The annual compensation range for this role is listed below.
 <br/>
 <br/>
 For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
 <br/>
 <br/>
 <strong>
  Annual Salary
  <br/>
  <br/>
 </strong>
 $275,000&mdash;$370,000 USD
 <br/>
 <br/>
 <strong>
  Logistics
  <br/>
  <br/>
 </strong>
 <strong>
  Education requirements:
 </strong>
 We require at least a Bachelor's degree in a related field or equivalent experience.
 <br/>
 <br/>
 <strong>
  Location-based hybrid policy:
 </strong>
 Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
 <br/>
 <br/>
 <strong>
  Visa sponsorship:
 </strong>
 We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
 <br/>
 <br/>
 <strong>
  We encourage you to apply even if you do not believe you meet every single qualification.
 </strong>
 Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
 <br/>
 <br/>
 <strong>
  Your safety matters to us.
 </strong>
 To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
 <br/>
 <br/>
 <strong>
  How We're Different
  <br/>
  <br/>
 </strong>
 We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
 <br/>
 <br/>
 The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
 <br/>
 <br/>
 <strong>
  Come work with us!
  <br/>
  <br/>
 </strong>
 Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
 <strong>
  Guidance on Candidates' AI Usage:
 </strong>
 Learn about our policy for using AI in our application process
</div>


Analytics Data Engineer

OpenAI

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Our team brings OpenAI&rsquo;s most capable technology to the world through our developer platform: the OpenAI API. As the leading AI development platform, our API is used by millions of developers and the majority of enterprises around the world, and powers the majority of AI applications that you may use on a daily basis. Most recently, we&rsquo;ve released gpt-5, gpt-realtime, Responses API, Agents SDK, and many other products and features.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for a software engineer to own the design of our APIs. Our API
 <em>
  is
 </em>
 our product, and as such we treat its design and development with care and intentionality. Every endpoint, every field name, and every enum value is a product interface that we want to design well. We are looking for engineers who not only love building APIs, but who will also sweat the details around API design and have a discerning taste for well designed API experience. You will play a major role in shaping the future roadmap of the OpenAI API &ndash; by both building and designing it.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build products that we launch in API &ndash; extending existing endpoints, adding new endpoints, or rethinking our entire API suite.
  </li>
  <li>
   Play a major role in our API Review process &ndash; working with all other teams to ensure our APIs meet our design standard.
  </li>
  <li>
   Collaborate closely with the rest of the API team, our Developer Experience team, and our GTM team to make our APIs the best in the world.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Thrive In This Role If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Appreciate taste in API design &ndash; you believe there are well designed APIs and poorly designed APIs
  </li>
  <li>
   Can thrive and operate independently in a fast-paced environment with ambiguous requirements and goals
  </li>
  <li>
   Love building for other developers, and thrive on feedback from opinionated users
  </li>
  <li>
   Are an engineer at heart, but are willing to lean into product decisions.
  </li>
  <li>
   Think of APIs as ladders.
   <br/>
   <br/>
  </li>
 </ul>
 <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.
</div>


Software Engineer, API Engineer

LiveRamp

<div><div>LiveRamp is the data collaboration platform of choice for the world&rsquo;s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases&mdash;within organizations, between brands, and across its premier global network of top-quality partners.</div><div></div><div>
Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.</div><div><br>
As we scale our self-service analytics and AI capabilities, we&rsquo;re looking for a Senior Analytics &amp; Insights Engineer to develop scalable data solutions and intuitive tools that bring insights directly to business teams.</div><div></div><div>
The Senior Analytics &amp; Insights Engineer plays a critical role in delivering trusted, scalable analytics solutions to stakeholders across Sales, Finance, and GTM. Working closely with architects and data engineering, you&rsquo;ll help shape data models and pipelines that serve as the foundation for high-impact dashboards and predictive analytics. You&rsquo;ll design user-centric tools that empower teams to explore data, gain insights, and make better decisions &mdash; powered by platforms like BigQuery, AI, ML, and Tableau.</div><div></div><div><br>
You Will:</div><ul><li><div>
Collaborate with data engineering to build scalable data models, semantic layers, and metrics using dbt and BigQuery.</div></li><li><div>
Translate business needs into user-friendly, self-service dashboards, agents, and analytical products for stakeholders in Sales, Customer Success, and Finance to provide actionable insights and improve decision-making.</div></li><li><div>
Deliver deep-dive &quot;so-what&quot; analyses and strategic insights via descriptive, diagnostic, and predictive analytics/ML modeling on complex datasets, presenting findings to leadership for forecasting/business use cases.</div></li><li><div>
Define, validate, and build company-wide corporate metrics with cross-functional teams.</div></li><li><div>
Work with DE, IT teams to automate data pipelines and ETL automation for manual processes .</div></li><li><div>
Optimize, refactor, validate, and document business logic, metrics, and data products to ensure proper governance of quality, accuracy, and scalability.</div></li><li><div>
Act as a liaison across business and technical teams to align analytical solutions with strategic goals.</div></li><li><div>
Lead complex cross-functional analytics projects.</div></li><li><div>
Help define best practices for scalable analytics design and contribute to data strategy.</div></li></ul><div></div><div>
About You:</div><ul><li><div>
5+ years of experience in analytics engineering, business intelligence, or data analytics roles</div></li><li><div>
Hands-on experience building dashboards using Tableau or a similar BI tool</div></li><li><div>
Strong proficiency in SQL and working with large datasets in BigQuery or similar cloud data warehouses</div></li><li><div>
Understanding of key metrics and workflows in Sales, GTM, or Finance functions</div></li><li><div>
Experience collaborating with data engineers and working with dbt or other data modeling frameworks</div></li><li><div>
Experience using AI, BigQuery ML, or other no-code/low-code ML tools for predictive modeling</div></li><li><div>
Familiarity with data governance principles including documentation, privacy, and access controls</div></li><li><div>
Ability to translate business needs into scalable, user-friendly analytics solutions</div></li><li><div>
Bachelor&rsquo;s degree in a technical or quantitative field (e.g., Computer Science, Engineering, Mathematics, Statistics, or related field), or equivalent practical experience</div></li></ul><div></div><div><br>
Preferred Skills:</div><ul><li><div>
Experience with AI agent frameworks, natural language querying, or building AI-powered user interfaces</div></li><li><div>
Familiarity with SaaS business metrics such as pipeline coverage, sales efficiency, customer acquisition cost, etc</div></li><li><div>
Prior experience in a cloud-native data environment such as Google Cloud Platform (GCP)</div></li><li><div>
Exposure to LiveRamp&rsquo;s data ecosystem (e.g., identity resolution, clean rooms, audience activation)</div></li><li><div>
Experience supporting self-service analytics adoption across business team</div></li></ul><div></div><div>
The approximate annual base compensation range is $115,000 to $179,000. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.</div><div></div><div><br>
Benefits:</div><ul><li><div>
People: Work with talented, collaborative, and friendly people who love what they do.</div></li><li><div>
Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.</div></li><li><div>
Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.</div></li><li><div>
Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives. Our benefits package offers medical, dental, vision, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth and more.</div></li><li><div>
Savings: Our 401K matching plan&mdash;1:1 match up to 6% of salary&mdash;helps you plan ahead. Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers)</div></li><li><div>
RampRemote: A comprehensive office equipment and ergonomics program&mdash;we provide you with equipment and tools to be your most productive self, no matter where you're located</div></li></ul><div></div><div>
More about us:</div><div></div><div><i>
LiveRamp&rsquo;s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles&mdash;one that informs how we hire, train, and grow our global team across nine countries and four continents. Click </i><div><i>here </i></div><i>to learn more about Diversity, Inclusion, &amp; Belonging (DIB) at LiveRamp.</i></div><div></div><div>
LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.</div><div></div><div>
We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.</div><div><br>
California residents: Please see our <div>California Personnel Privacy Policy</div> for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.</div><div><br>
To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.</div></div>

Senior Analytics & Insights Engineer

Airtable

<div><div><p>Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.</p></div><p>
Airtable's Data Science &amp; Analytics team seeks an Analytics Engineer to embed within our Marketing organization. This is a high-impact, early-career role. You will be responsible for building the canonical data infrastructure, owning critical dashboards, and enabling Marketing stakeholders to execute faster, more confident, data-driven decisions.</p>
<p>
We require a genuinely AI-native professional&mdash;not merely familiar with tools like Claude, Cursor, or ChatGPT, but one who integrates them as a core part of their daily workflow. The successful candidate will possess a full-stack mindset, a bias for action, and deep curiosity about how marketing data drives tangible business outcomes.</p>
<p><b>
About the Team</b></p>
<p>
The Data Science &amp; Analytics team at Airtable is the company-wide partner for building data infrastructure, metrics, and insights that directly inform decision-making. The Marketing Analytics Engineer will embed with the Marketing organization, working directly with GTM data and Airtable's core data stack: dbt, Databricks, Looker, and Omni.</p>
<h1 class="jobSectionHeader"><b>
What you'll do</b></h1>
<ul><li><b>Canonical Marketing Data Sources</b>
<ul><li><b>Design and maintain</b> trustworthy data models for core marketing metrics, managing the full lifecycle from prototyping through production.</li>
<li><b>Develop and govern</b> dbt data pipelines, establishing data integrity standards and SLAs for timely, accurate delivery across the Marketing organization.</li>
</ul></li><li><b>Critical Dashboards and Self-Serve Tooling</b>
<ul><li><b>Build and optimize</b> dashboards that deliver real-time, self-serve insights across high-priority marketing areas: campaign performance, funnel conversion, pipeline contribution, and lead scoring.</li>
<li><b>Drive data independence</b> for Marketing stakeholders, eliminating reliance on ad-hoc data requests and manual reporting.</li>
</ul></li><li><b>AI-Native Data Infrastructure</b>
<ul><li><b>Collaborate</b> with the Marketing team and data partners to establish the AI Business Context layer for marketing use cases.</li>
<li><b>Lead the development</b> of tools that facilitate natural language data access and AI-assisted reporting for non-technical stakeholders.</li>
</ul></li><li><b>Trusted Partnership</b>
<ul><li><b>Serve as the primary data partner</b> for marketing managers, demand generation teams, and leadership.</li>
<li><b>Translate complex data insights</b> into clear business recommendations via dashboards, memos, and presentations.</li>
</ul></li><li><b>Domain Expertise</b>
<ul><li><b>Achieve a comprehensive mastery</b> of Airtable's marketing data models, existing pipelines, and BI tools (dbt / Looker / Omni) within the first 6 months, becoming the definitive internal expert.</li>
</ul></li></ul><h1 class="jobSectionHeader"><b>Who you are</b></h1>
<ul><li><b>Must-Have</b>
<ul><li>Expert-level SQL: Proven ability to write complex queries involving joins, aggregations, and window functions.</li>
<li>Proficiency with dbt or equivalent data transformation tools.</li>
<li>Experience with BI and visualization platforms (Looker, Omni, Tableau, Hex, or similar).</li>
<li>Active, demonstrated daily use of AI coding tools (Cursor, Claude, ChatGPT, Gemini). Candidates must provide specific, concrete examples of how these tools are integral to their work, moving beyond simple familiarity.</li>
<li>Mandatory use of GitHub for version control in a standard development workflow.</li>
<li>Exceptional communication skills: the ability to translate technical data findings into compelling business narratives for non-technical leadership.</li>
</ul></li><li><b>Nice-to-Have</b>
<ul><li>Python for data work (pandas, ETL scripting, or analysis).</li>
<li>Prior exposure to marketing data concepts: attribution, funnel metrics, lead scoring, or campaign performance.</li>
<li>Familiarity with CRM (Salesforce) or marketing automation platforms (Marketo).</li>
<li>Experience with Databricks or cloud data warehouses.</li>
<li>A public portfolio showcasing data or AI-assisted engineering work (GitHub, personal projects, Kaggle).</li>
</ul></li><li><b>Full-stack Mindset:</b> You own problems end-to-end and drive the solution, even if it requires expanding the original scope.</li>
<li><b>Bias for Action:</b> You prioritize effective delivery over perfection, operating with a 'ship, learn, and iterate' mentality.</li>
<li><b>Genuinely AI-Native:</b> AI tools are fundamental to your work process. You leverage them to write cleaner SQL, debug models faster, generate documentation, and prototype solutions, and can articulate your specific usage.</li>
<li><b>Data Storyteller:</b> You provide definitive business closure&mdash;framing findings as actionable recommendations, not just delivering technically correct output.</li>
<li><b>Thrives in Ambiguity:</b> You proactively create clarity and forward momentum, even when requirements are incomplete or rapidly changing.</li>
</ul>
<p>Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant<b>.</b></p>
<p>
VEVRAA-Federal Contractor</p>
<p>
If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.</p><div><p>
Please see our Privacy Notice for details regarding Airtable's collection and use of personal data relating to the application and recruitment process by clicking here.<br>
<br>
For applicants that live in or have a link to Australia, please see this Privacy Collection Statement for details regarding Airtable's collection and use of personal data relating to the application and recruitment process.</p>
<p>
 <b>Stay Safe from Job Scams</b><br>
All official Airtable communication will come from an <b>@airtable.com</b> email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.</p></div></div>

AI Analytics Engineer (Marketing Analytics)

About the Team
<br><br>
OpenAI’s Strategic Finance organization provides financial insights and guidance to support the company’s long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and GTM to allocate resources to the highest-impact opportunities while protecting sustainable unit economics.
<br><br>
The Applications Technology Strategic Finance team partners closely with Product to scale core offerings and bring new products to market. We lead revenue forecasting and performance management across the product portfolio, including economic margins, pricing, and partnership deal pricing and structuring.
<br><br>
About the Role
<br><br>
We are hiring a senior strategic finance thought partner to support OpenAI’s Ads business. You will partner closely with Ads Product and GTM leadership and be responsible for driving financial planning and forecasting, evaluating new initiatives, and providing decision-quality insights on performance.
<br><br>
You will help build the financial foundations required to scale the Ads business—from forecasting and performance measurement to economic modeling for new products and initiatives. This is a unique opportunity to influence the trajectory of frontier AI products while working at the intersection of strategy, finance, and technology.
<br><br>
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
<br><br>
<b>In this role, you will:</b><br>
Serve as the Strategic Finance partner to our Ads teams, helping shape business strategy and investment decisions.
<br><br>
Support financial evaluation for our Ads business, including modeling revenue and compute, establishing core metrics, identifying leading indicators, tracking variance to expectations, and surfacing risks and opportunities.
<br><br>
Partner with Product, Engineering, and GTM leaders on strategic initiatives and new product launches to shape growth plans.
<br><br>
Analyze business trends and translate data into actionable insights that inform both long-term strategy and day-to-day decision making.
<br><br>
Build and scale financial planning rigor, including forecasting methodology, management reporting, and performance narratives that improve decision velocity and accountability.
<br><br>
Stay up to date on market trends and competitive dynamics to refine financial strategies.
<br><br>
Prepare and deliver high-quality executive and Board materials communicating business performance, key drivers, and strategic recommendations.
<br><br>
<b>You might thrive in this role if you have:</b><br>
12+ years of experience in investment banking, consulting, or buy-side investing, coupled with operating experience at a fast-paced, scaling technology company.
<br><br>
2+ years in Ads Finance, with Ads P&L ownership and experience supporting growth across multiple verticals, formats, and international markets.
<br><br>
Exceptional analytical and financial modeling skills, including building detailed operating models and product P&Ls to evaluate growth opportunities and investment decisions.
<br><br>
Strong business judgment and the ability to critically assess financial performance, opportunities, and risks.
<br><br>
The ability to translate complex financial data into clear insights and recommendations, and communicate them effectively to senior leadership.
<br><br>
High attention to detail and a commitment to accuracy in financial analysis and reporting.
<br><br>
Familiarity with digital advertising business models.
<br><br>
A hands-on, roll-up-your-sleeves mentality and comfort operating in a fast-moving, ambiguous environment.
<br><br>
Enthusiasm for the deployment of AI and OpenAI’s mission.
<br><br>
Experience with SQL.
<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>
$234K – $325K + Offers Equity

Strategic Finance, Ads

ROLLER

<div>
 <strong>
  About ROLLER
  <br/>
  <br/>
 </strong>
 ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.
 <br/>
 <br/>
 But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.
 <br/>
 <br/>
 We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!
 <br/>
 <br/>
 <strong>
  About the Role
  <br/>
  <br/>
 </strong>
 We are seeking a highly technical, hands-on
 <strong>
  Senior
 </strong>
 <strong>
  Data Engineer
 </strong>
 to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.
 <br/>
 <br/>
 In this foundational role, you will build &amp; architect the
 <strong>
  modern data stack
 </strong>
 , ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with
 <strong>
  GTM
 </strong>
 <strong>
  ,Product, Finance, P&amp;C
 </strong>
 to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.
 <br/>
 <br/>
 Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   <strong>
    Scalable Architecture:
   </strong>
   Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
  </li>
  <li>
   <strong>
    Cloud Ecosystem:
   </strong>
   Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
  </li>
  <li>
   <strong>
    Transformation Excellence:
   </strong>
   Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
  </li>
  <li>
   <strong>
    Infrastructure as Code:
   </strong>
   Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
  </li>
  <li>
   <strong>
    Cloud Data Warehousing:
   </strong>
   Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake &amp; BigQuery.
  </li>
  <li>
   <strong>
    Team Collaboration:
   </strong>
   Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
  </li>
  <li>
   <strong>
    Stack Management:
   </strong>
   Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
  </li>
  <li>
   <strong>
    Pipeline Engineering:
   </strong>
   Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
  </li>
  <li>
   <strong>
    Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.
    <br/>
    <br/>
   </strong>
  </li>
 </ul>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts
 <strong>
  architect and analytical problem-solver
 </strong>
 , you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.
 <br/>
 <br/>
 You are energized by the full lifecycle of data&mdash;moving beyond just writing code to actively leading
 <strong>
  project discovery and analysis
 </strong>
 alongside cross-functional partners. You take pride in enabling GTM, Product, Finance &amp; P&amp;C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.
 <br/>
 <br/>
 <ul>
  <li>
   <strong>
    5+ years of experience
   </strong>
   in Data &amp; Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build
  </li>
  <li>
   Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
  </li>
  <li>
   Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
  </li>
  <li>
   Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.
  </li>
  <li>
   Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
  </li>
  <li>
   Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
  </li>
  <li>
   Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
  </li>
  <li>
   Ability to design high-performance dashboards that prioritize user experience and fast load times.
  </li>
  <li>
   Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
  </li>
  <li>
   Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.
  </li>
  <li>
   Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
  </li>
  <li>
   <strong>
    Familiarity with business-critical systems
   </strong>
   like Salesforce, Chargbee, Gainsight, and product analytics tools.
  </li>
  <li>
   <strong>
    Strong communicator
   </strong>
   with a track record of working across technical and non-technical teams to drive alignment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
  </li>
  <li>
   Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
  </li>
  <li>
   Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.
   <br/>
   <br/>
  </li>
 </ul>
 Perks!
 <br/>
 <br/>
 <ul>
  <li>
   You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
  </li>
  <li>
   4 ROLLER Recharge days per year (When we hit our goals each quarter, we take a well-earned day off together to relax, recharge, and celebrate our wins).
  </li>
  <li>
   Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising &amp; cause-related campaigns...you name it. We're willing to make it happen!
  </li>
  <li>
   Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
  </li>
  <li>
   16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
  </li>
  <li>
   Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
  </li>
  <li>
   Individual learning &amp; development budget plus genuine career growth opportunities as we continue to expand!
   <br/>
   <br/>
  </li>
 </ul>
 What You Can Expect
 <br/>
 <br/>
 <ul>
  <li>
   <strong>
    Initial call with our Talent Acquisition Manager
   </strong>
   You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
  </li>
  <li>
   <strong>
    Interview with the Hiring Manager
   </strong>
   You'll get to meet with the hiring manager to learn more about the role &amp; ROLLER whilst also talking through your experience in more detail.
  </li>
  <li>
   <strong>
    Loop Interviews
   </strong>
   This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture &amp; vibe meet what you are looking for!
  </li>
  <li>
   <strong>
    Offer
   </strong>
   If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!
  </li>
 </ul>
</div>


Data Engineer

Explore 252+ Ai engineer gtm in San Francisco this March. Find roles across top companies and apply now to boost your career.