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analytics automation lead user safety risk operations

OpenAI

About the Team
 
At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems.
 
The Analytics & Automation team helps USRO operate more effectively and scale safely. The team builds automation, analytics, reporting, monitoring, and quality systems that improve how work is prioritized, reviewed, measured, and managed across the organization’s portfolio.
 
Our work includes workflow automation, operational health dashboards, queue and case analysis, quality measurement, classifier and evaluation feedback loops, alerting, reporting infrastructure, and decision-support tools. We partner closely with operational teams as well as Product, Engineering, Product Policy, Safety, and Support to identify high-leverage opportunities and build practical systems that improve outcomes.
 
About the Role
 
We are seeking an Analytics & Automation Lead to manage and grow a senior technical operations team responsible for building the analytics, automation, and quality systems that help User Safety and Risk Operations scale.
 
This is a hands-on leadership role for a mission-oriented systems thinker: someone who can translate messy operational problems into practical, measurable solutions; guide senior technical and analytical ICs (Independent Contributors); prioritize across competing needs;, and build durable infrastructure and reusable capabilities that improve the performance of multiple operational teams.
 
You will lead work across workflow automation, operational health analytics, quality and evaluation systems, emerging-risk signal infrastructure, dashboards and reporting, and data flywheel feedback
 
loops.You
 
will help determine where automation can meaningfully improve speed, consistency, and scalability, and where human judgment and strong quality controls must remain central.
 
The right person is highly technical for an operations role, deeply comfortable with ambiguity, and fluent in using AI tools to improve real workflows. Success in this role means building systems that make safety operations faster, more reliable, more measurable, and more scalable without losing the human judgment required for sensitive user-safety decisions.
 
Location / work model: San Francisco, CA; hybrid, 3 days/week in-office.
 
Please note: This role may involve exposure to sensitive or concerning content. Strong discretion, judgment, and resilience are essential.
 
In This Role, You Will
 
Lead and develop a senior team of technical and analytical ICs responsible for automation, analytics, reporting, and other systems.
 
Set the strategy and operating cadence for a horizontal team supporting safety and risk operations across multiple workflows and domains.
 
Prioritize a portfolio of high-impact opportunities, making clear tradeoffs based on user impact, risk reduction, operational need, technical feasibility, and scalability.
 
Build systems that improve operational health and visibility, including data infrastructure, dashboards, SLA and backlog monitoring, and quality measurement.
 
Design and implement workflow improvements such as automated triage, routing, prioritization, signal enrichment, case clustering, review assistance, and reporting automation.
 
Build and improve the systems and strategies for emerging risk identification, analysis, and signal sharing
 
Identify where AI, LLMs, classifiers, or lightweight tooling can materially improve operational work, while designing appropriate evaluation, monitoring, human review, and fallback paths.
 
Establish measurement and quality frameworks for operational systems, including golden sets, sampling strategies, reviewer calibration, false-positive and false-negative monitoring, and system-health metrics.
 
Partner with operational leaders to understand their workflows, identify root causes and bottlenecks, and turn high-value needs into scalable systems rather than one-off analyses.
 
Collaborate with Product, Engineering, Policy, Legal, Safety, Support, and other partner teams to translate user and operational insights into better tools, processes, and outcomes.
 
Raise the bar for technical judgment, written communication, prioritization, and execution across a senior, independent team.
 
You Might Thrive in This Role If You
 
Have 12+ years of relevant experience across trust and safety, risk operations, data, analytics, automation, product operations, integrity, fraud, or similarly high-stakes operational environments.
 
Have 4+ years of people management experience, including experience leading senior technical, analytical, or highly independent ICs.
 
Are highly technical for an operations leader: comfortable with SQL, dashboards, data quality, classifier/eval concepts, automation design, and practical AI tooling.
 
Experience working with LLMs, agentic workflows, Codex-like tools, or internal AI platforms to automate operational work.
 
Have built systems that materially improved how operational work gets done, such as workflow automation, triage or routing systems, detection workflows, operational reporting, or classifier feedback loops.
 
Can distinguish high-value automation from risky automation, and know how to design human-in-the-loop review, monitoring, quality controls, and fallback mechanisms for sensitive workflows.
 
Bring strong operational judgment and understand the realities of running complex workflows at scale, including queues, reviewer processes, escalations, capacity constraints, and quality assurance.
 
Communicate clearly and concisely with technical, operational, and executive audiences, especially when tradeoffs are complex or evidence is incomplete.
 
Operate with high agency in ambiguous environments and can create structure, momentum, and measurable progress without overbuilding.
 
Are mission-oriented, user-safety minded, and motivated by building systems that make frontier AI products safer and more trustworthy.
 
Nice to Have
 
Experience in trust and safety, adversarial abuse, integrity, risk operations, or user safety at a scaled technology company.
 
Experience with classifier development, eval design, golden sets, labeling guidance, reviewer calibration, or model-quality feedback loops.
 
Experience leading analytics or automation work that supports multiple partner teams or business lines.
 
Experience building quality programs, audit processes, or decision records for sensitive or regulated workflows.
 
Familiarity with vendor operations, BPO training, QA, or scaled review programs.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$302K – $335K + Offers Equity

Analytics & Automation Lead, User Safety & Risk Operations

Block

<div><div>Block builds simple, powerful tools that make progress towards an economy that&rsquo;s truly open to all.

Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we&rsquo;re helping build a financial system that is open to everyone. Join us.

The Role

We are building the automation backbone of Block. The systems you help create will decide how work flows, how decisions are made, and how fast the company can move. This platform powers automation across customer support, risk and compliance, sales and marketing, and core internal operations. When it works, Block scales with confidence, speed, and precision.

As a Product Manager on the GTM Platform team, you will shape AI products that fundamentally change how work gets done. You will decide where automation should exist, where humans must stay in the loop, and how the two work together at scale. Your work will directly impact quality, cost, growth, efficiency and reliability across the company.

This is a hands-on, end-to-end role. You will be a builder, owning problems from first principles to production reality. You will work side by side with engineering, machine learning, data, design, and operations to turn messy, ambiguous workflows into intelligent systems that deliver real results.

This role sits within the Business Platform, which builds the systems and automations powering Block&rsquo;s core business functions &ndash; customer support, risk, guidance, and GTM. The focus is on GTM (sales, marketing, partnerships, account management, and communications infrastructure), with an expectation to bring deep domain expertise while partnering across other functions to drive consistency and cohesion across platforms. 

You Will
<ul>
<li>Own the strategy and roadmap for AI-powered products that matter</li>
<li>Identify automation opportunities rooted in real user pain and measurable business outcomes</li>
<li>Turn ambiguous, high-stakes problems into clear product direction and requirements</li>
<li>Partner deeply with ML engineers, data scientists, and researchers on model goals, data strategy, evaluation, and quality thresholds</li>
<li>Design and run experiments to test ideas fast and learn even faster</li>
<li>Define product behavior across success paths, failures, and edge cases</li>
<li>Set and own metrics for accuracy, safety, latency, reliability, and user trust</li>
<li>Work with design to build human-AI interactions that are intuitive, transparent, and safe</li>
<li>Collaborate with legal, security, and compliance to ship responsible AI in regulated environments</li>
<li>Lead cross-functional execution from concept to launch and continuous improvement</li>
</ul>
You Have
<ul>
<li>7 to 10 years of product management experience, with a strong track record shipping AI or ML-driven products</li>
<li>Deep technical intuition around machine learning systems, including training loops, evaluation, prompt design, data pipelines, and real-time inference constraints</li>
<li>Experience running structured experiments such as A/B tests and offline model evaluations</li>
<li>A true ownership mindset and the ability to drive complex initiatives across teams without waiting for permission</li>
<li>Clear, compelling communication skills for executive, technical, and operational audiences</li>
<li>Experience working in scaled, high-stakes, or regulated environments such as risk, compliance, or operations</li>
<li>Strong understanding of AI quality, safety, and responsible use</li>
<li>Hands-on experience with LLMs, multimodal models, or applied generative AI</li>
</ul>
Highly Preferred
<ul>
<li>Technical or analytical background</li>
<li>Domain knowledge in GTM processes (lead-to-opportunity, opportunity-to-cash, customer lifecycle tracking)</li>
<li>Domain knowledge in GTM tooling ( (e.g., CRM, outreach, campaign/journey management, CPQ, data enrichment solutions)</li>
</ul>
EEOC Statement

We&rsquo;re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances. 
 
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.<div><div><div> 

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate&rsquo;s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.</div><div> 
Zone A:</div><div>
$239,600&mdash;$359,400 USD</div></div><div><div>
Zone B:
</div><div>$239,600&mdash;$359,400 USD</div></div><div><div>
Zone C:</div><div>
$239,600&mdash;$359,400 USD</div></div><div><div>
Zone D:</div><div>
$239,600&mdash;$359,400 USD</div></div></div><div>
Application Guidelines

Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.

Use of AI in Our Hiring Process

We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.

Contact us here with hiring practice or data usage questions.

Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.

Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we&rsquo;re helping build a financial system that is open to everyone.</div></div></div>

Product Manager, GTM Automation

Figure

<div>About Figure

Figure (NASDAQ: FIGR) is transforming capital markets through blockchain. We're proving that blockchain isn't just theory - it's powering real products used by hundreds of thousands of consumers and institutions.

By combining blockchain's transparency and efficiency with AI-driven automation, we've reimagined how loans are originated, funded, and traded in secondary markets. From faster processing times to lower costs and reduced bias, our technology is helping borrowers, investors, and financial institutions achieve better outcomes.

Together with our 170+ partners, we've originated over $22 billion in home equity loans (HELOCs) on our blockchain-native platform, making Figure the largest non-bank provider of home equity financing in the U.S. Figure's ecosystem also includes YLDS, an SEC-registered yield-bearing stablecoin that operates as a tokenized money market fund, and several other products and platforms that are reshaping consumer finance and capital markets.

We're proud to be recognized as one of Forbes' Most Innovative Fintech Startups in 2025 and Fast Company's Most Innovative Companies in Finance and Personal Finance.

About the Role

At Figure, we're redefining what's possible at the intersection of finance and technology. Fresh off our IPO, we are building the next generation of financial infrastructure, transforming how capital moves, how credit is assessed, and how customers experience financial products. Our data team sits at the heart of that transformation, serving as the analytical engine that powers the entire business. From architecting the data models that drive risk and capital allocation to delivering the reporting and insights that guide growth strategy and operational excellence, we ensure every department has the intelligence needed to win.

As a Senior/Staff Data Analyst, you will be a vital driver of our growth and product evolution, partnering closely with Marketing, Product Management, and Engineering to optimize the borrower journey. Your work will directly influence how we acquire customers, the efficiency of our loan application funnel, and the long-term value of our customer base.

You will bridge the gap between user behavior and business strategy, combining analytical rigor with product intuition to help leaders understand the &quot;how&quot; and &quot;why&quot; behind the customer experience. While your primary focus is on the front-end growth engine, you are a generalist at heart - capable of architecting data models that serve the entire organization's need for clear, actionable intelligence from top-of-funnel to capital allocation.

What You'll Do
<ul>
<li>Design and implement robust data models that transform fragmented marketing spend and application event logs into structured, &quot;gold-standard&quot; datasets. You will ensure our product and acquisition data is clean, organized, and optimized for cross-functional use.</li>
<li>Build and maintain scalable frameworks to monitor the loan application funnel identifying friction points, drop-off behaviors, and opportunities to improve conversion from lead to funded loan.</li>
<li>Elevate our analytics toolkit by writing high-performance BigQuery SQL and designing intuitive Tableau dashboards that empower stakeholders to track KPIs like CAC (Customer Acquisition Cost), Approval Rates, and Origination Volume in real-time.</li>
<li>Partner with Product and Marketing to design, execute, and analyze A/B tests, ensuring we make evidence-based decisions on everything from landing page optimization to credit offer presentation.</li>
<li>Act as the analytical backbone for the business, translating complex user behaviors into repeatable, automated insights that drive measurable growth and product-market fit.</li>
</ul>
What We Look For
<ul>
<li>3&ndash;5+ years of experience using data to drive measurable business impact, specifically within Growth, Product Analytics, or Marketing Science.</li>
<li>Deep proficiency in SQL (preferably BigQuery); you are an expert at handling complex joins and window functions to reconstruct user journeys across marketing touchpoints and loan applications.</li>
<li>Proven ability to design and maintain structured datasets (star schemas, dbt models) that turn messy clickstream and CRM data into reliable tables for the entire business.</li>
<li>You don't just report data; you build intuitive dashboards that help managers visualize cohort performance, attribution models, and funnel velocity.</li>
<li>Strong grasp of statistical concepts like survival analysis (to model time-to-repayment or time-to-next-loan), causal inference, and significance testing.</li>
<li>Understanding of the lending lifecycle from initial acquisition through underwriting to funding and how product changes impact portfolio quality.</li>
<li>Clear, confident ability to translate complex data trends into actionable stories for both technical teams and executive leadership.</li>
<li>A generalist mindset you are comfortable navigating the ambiguity of a fast-moving environment and can apply your analytical toolkit to solve problems across different business domains.</li>
</ul>
Bonus Points
<ul>
<li>Experience building or working with multi-touch attribution (MTA) to understand the ROI of various marketing channels.</li>
<li>Familiarity with the mechanics of credit products and how user experience influences borrower selection and risk.</li>
<li>You can't resist digging into a data anomaly to find the &quot;why&quot; behind a sudden shift in application volume or a drop in funnel conversion.</li>
<li>You embrace learning from mistakes and are energized by the challenge of optimizing digital lending experiences through technical solutions.</li>
</ul>
Salary
<ul>
<li>Base Compensation Range: $110,000-$150,000/yr</li>
<li>25% annual bonus target, paid quarterly</li>
<li>Company equity in the form of RSUs</li>
</ul>
This is the compensation range for the role in the United States. Actual compensation may vary based on a candidate's experience, skills, location, internal equity, and evolving business needs. While most offers are generally made within the middle of the range, final compensation is determined based on the factors above.

Benefits
<ul>
<li>Comprehensive medical, dental, and vision coverage, with 100% employer-paid premiums for employees and their dependents on select plans 
Company HSA, FSA, Dependent Care FSA, 401(k), and commuter benefits 
Employer-paid life and disability insurance 
11 observed holidays and PTO plan 
Up to 12 weeks of paid family leave 
Continuing education reimbursement</li>
</ul>
Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and General Workforce Privacy Notice for further information. By submitting your application, you are agreeing and acknowledging that you have read and understand the above notice.

Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

#LI-MM1 #LI-Remote</div>

Senior Data Analyst, Lending

About the Team
 
The Applied team brings OpenAI’s technology to the world through products used by hundreds of millions of people and by developers and businesses building on our APIs. We work across research, engineering, product, policy, safety, and operations to deploy frontier AI systems responsibly and safely.
 
The Trust & Safety Data Engineering team builds the data foundations that help OpenAI understand, detect, investigate, and mitigate abuse and safety risks across our products. We partner with Integrity, Investigations, Safety Systems, Product Policy, Privacy, Data Science, Engineering, and Data Platform to create reliable, privacy-safe datasets and pipelines for fraud and abuse detection, enforcement workflows, safety measurement, ML feature generation, launch readiness, and transparency reporting.
 
About the Role
 
We are hiring a Technical Lead Manager to lead and grow the Trust & Safety Data Engineering team. This is a hands-on leadership role for someone who can set strategy, shape data architecture, align senior stakeholders, coach engineers, and drive execution on high-impact data systems.
 
You will help turn fragmented launch and incident support into durable, reusable, privacy-safe data foundations that Trust & Safety teams can rely on. The systems your team builds will help OpenAI detect risk, investigate abuse, power operational workflows, develop and evaluate safety models, measure interventions, support product launches, and report accurately on platform integrity.
 
In This Role, You Will
 
Lead and grow a high-performing Trust & Safety Data Engineering team.
 
Define the roadmap and technical strategy for Trust & Safety data systems.
 
Build canonical, privacy-safe datasets and pipelines for abuse detection, fraud detection, risk signals, enforcement, scaled review, transparency reporting, and safety monitoring.
 
Create reusable foundations for Trust & Safety model development, including features, labels, training data, backtesting, evaluation, and production inputs.
 
Establish ownership, documentation, data quality standards, monitoring, and operational rigor for critical datasets and workflows.
 
Reduce dependence on sensitive raw logs by building structured alternatives with appropriate access controls, retention, deletion semantics, and governance.
 
Partner with Trust & Safety, Product, Policy, Privacy, Data Science, Engineering, and Data Platform on launch readiness, operational systems, and safety measurement.
 
Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment.
 
You Might Thrive in This Role If You
 
Have led data engineering teams that build and operate production data systems at scale.
 
Experience in trust and safety, integrity, abuse prevention, fraud, investigations, risk operations, safety systems, privacy, or adjacent domains.
 
Are deeply technical and comfortable with data architecture, modeling, pipelines, reliability, privacy, and operational tradeoffs.
 
Have experience with large-scale data systems such as Spark, Airflow or similar orchestration systems, distributed storage, batch/streaming pipelines, and modern warehouse patterns.
 
Think of data as a product: reliable, documented, governed, observable, discoverable, and designed for repeated use.
 
Can create clarity in ambiguous problem spaces and make principled tradeoffs quickly.
 
Have a strong track record partnering with senior stakeholders across engineering, data science, operations, policy, privacy, product, or executive teams.
 
Have hired, developed, and retained senior engineers.
 
Are motivated by building systems that make frontier AI products safer and more trustworthy.
 
Nice to Have
 
Experience supporting ML systems through feature engineering, training data, labels, model evaluation, or production model pipelines.
 
Experience with launch readiness, monitoring, alerting, incident response, semantic layers, metrics governance, or executive-facing reporting.
 
Workplace & Location
 
This role is based in our San Francisco HQ. We offer relocation assistance to new employees.
 
Please note: this role may involve work related to sensitive or concerning safety, abuse, fraud, or user-risk domains. Strong discretion, judgment, and resilience are essential.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$385K – $490K + Offers Equity

Technical Lead Manager, Data Engineering, Trust & Safety

Google

<div>
 Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
 
 
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Mountain View, CA, USA; San Francisco, CA, USA; New York, NY, USA
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 4 years of experience in a management consulting, operations, business strategy, investment banking, venture capital or private equity role, or 2 years of experience with an advanced degree.
 </li>
 <li>
 2 years of experience developing business strategies or managing cross-functional initiatives.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 MBA or advanced degree.
 </li>
 <li>
 Experience in marketing and familiarity with how marketing capabilities come together to drive impact.
 </li>
 <li>
 Ability to drive the development of product area, function, or sub-function strategies, working with leadership to develop and prioritize initiatives.
 </li>
 <li>
 Ability to support executives in defining overall communications strategy across the function and regions, overseeing the planning of internal events and aligning internal communications.
 </li>
 <li>
 Excellent problem solving, quantitative analysis, business judgment, and written and verbal communication skills.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Strategy &amp; Operations (S&amp;O) professionals in Google&rsquo;s Marketing organization provide business critical insights and analytics, ensure cross-functional alignment of goals and execution, and help teams drive strategic partnerships and new initiatives forward. Whether you are embedded within a specific marketing team to use insights to enable better marketing decisions or the global S&amp;O function to equip the organization to succeed at scale, you will engage with Google leadership in order to establish Marketing&rsquo;s strategic direction. You will manage planning and operational processes and work cross-functionally with key partners across Marketing, Product, Finance and Engineering to solve our toughest challenges, advocate for high-priority projects, and drive greater operational excellence within Marketing.
 
 
 To be successful in this role, you have a hypothesis-driven approach to problem solving, effective quantitative and communication skills, and the ability to take on broad-reaching and ambiguous questions while working collaboratively and cross-functionally with Googlers of all levels.
 
 
 The Subscriptions and Customer Growth Marketing organization drives consumer apps and subscription growth. We partner with product engineering and insights to understand the user and bring helpful products to market while deepening the consumer relationship. We&rsquo;re passionate about showing consumers how to get more out of their favorite Google subscriptions and consumer apps.
 
 
 Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.
 
 
 Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
 US: $116000 - $167000 (USD) + 15% bonus target + bonus + equity + benefits
 
 
 
 Responsibilities
 
 
 
 Learn more about benefits at Google .
 
 
 <ul>
 <li>
 Partner with leadership to set Marketing&rsquo;s plan globally, managing Marketing&rsquo;s critical priorities, and corresponding investments.
 </li>
 <li>
 Manage the long term, annual and quarterly planning cycles. Establish Marketing&rsquo;s priorities and conduct data-motivated business analytics to support and make recommendations on strategy and investment.
 </li>
 <li>
 Improve Marketing efficiency and effectiveness by applying a diligent approach to Marketing operational processes. Streamline workflows to reduce friction and busy work.
 </li>
 <li>
 Ensure budget and talent are mapped to the highest-priority bets. Establish clear Key Performance Indicators (KPIs) and reporting processes to measure impact.
 </li>
 <li>
 Drive the adoption of AI tools to scale productivity and unlock smarter workflows.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Marketing Strategy and Operations Manager, Subscriptions and Customer Growth

About the Team
 
The Codex Cloud Apps team builds cloud-native agentic products that reimagine how software is created, reviewed, deployed, and operated. We own end-user experiences such as ChatGPT Sites, Code Review, and future agentic automation products that allow individuals and organizations to delegate increasingly complex work to AI.
 
Our team sits at the intersection of product, engineering, design, and research. We work directly with customers and internal teams to discover entirely new workflows enabled by AI agents, then rapidly turn those ideas into production products used by millions of users and enterprises around the world.
 
About the Role
 
In this role, you'll help define what AI-native software products look like. You'll build experiences that allow users to collaborate with AI agents, automate complex workflows, and create entirely new classes of applications that weren't previously possible.
 
You'll work across product design, backend systems, frontend experiences, enterprise features, and model capabilities to ship products quickly, learn from real-world usage, and continuously improve how people use agents in the cloud.
 
In this role, you will: 
Design and build end-to-end agentic product experiences across web, desktop, mobile, APIs, and integrations.
 
Work directly with customers to understand how individuals and organizations adopt AI agents, and translate those insights into product direction.
 
Build products such as AI-powered code review, application generation, workflow automation, and future agentic experiences.
 
Partner closely with research teams to transform new model capabilities into usable, reliable customer-facing features.
 
Design enterprise-ready capabilities including identity, governance, permissions, compliance, auditability, and analytics.
 
Prototype quickly, ship frequently, and use product telemetry and customer feedback to guide iteration.
 
Help define entirely new interaction patterns between humans and AI agents to accomplish tasks together.
 
You might thrive in this role if you: 
Have strong full-stack engineering skills and experience shipping customer-facing products from concept to production to refinement.
 
Strong product instincts and a track record of turning ambiguous ideas into successful products.
 
Experience building developer tools, SaaS products, workflow systems, collaboration tools, or AI-powered products.
 
Experience working closely with users and customers and translating feedback into product improvements.
 
Familiarity with modern AI-assisted development workflows and agentic software systems.
 
Experience with enterprise software concepts such as identity, permissions, governance, compliance, and integrations.
 
Comfort working across frontend, backend, APIs, data models, and product design.
 
Enjoy fast-moving 0→1 environments and are excited by defining entirely new categories of software.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$230K – $325K + Offers Equity

Software Engineer, Codex Cloud Apps

Lynx Analytics

<div>We are looking for a Full Stack Developer to join our growing engineering team. In this role, you will design, build, and operate scalable software platforms that support analytics and AI solutions &mdash; owning the full journey from intuitive user interfaces to robust cloud-native backends.

What This Involves:

Front-End Development
<ul>
<li>Develop and maintain user interfaces for web applications using React and Next.js.</li>
<li>Translate wireframes and design mockups into functional, accessible UI components.</li>
<li>Identify and resolve front-end performance bottlenecks to ensure smooth user experiences.</li>
<li>Write and maintain unit and integration tests for front-end components (e.g. Jest, React Testing Library).</li>
</ul>
Back-End Development
<ul>
<li>Develop and maintain high-quality back-end services and APIs using Python.</li>
<li>Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP).</li>
<li>Manage containerized applications using Docker and Kubernetes.</li>
<li>Contribute to the design and evolution of scalable, cloud-native software architectures.</li>
<li>Contribute to and maintain CI/CD pipelines for web and back-end applications.</li>
</ul>
Collaboration and Quality
<ul>
<li>Work closely with data scientists, engineers and project managers to deliver integrated end-to-end solutions.</li>
<li>Support the development and deployment of AI and analytics solutions.</li>
<li>Write clean, well-documented, and maintainable code across the full stack.</li>
<li>Participate in technical discussions, code reviews, and continuous improvement initiatives.</li>
<li>Adhere to internal and client-mandated data protection and compliance policies, ensuring all handling, storage, and sharing of data meets required security and privacy standards.</li>
</ul>
Requirements:
<ul>
<li>Bachelor's degree in Computer Science or related fields.</li>
<li>5+ years of software development experience, with meaningful time on both front-end and back-end systems.</li>
<li>Experience designing systems in cloud-native or distributed environments is a plus.</li>
<li>Excellent communication and collaboration skills &mdash; comfortable working across cross-functional and client-facing teams.</li>
<li>Ability to overlap with Pacific Time business hours for a minimum of 3 hours per day.</li>
</ul>
Key Competencies:
<ul>
<li>Stakeholder Mentality: Treats the company's and client's goals as their own and is genuinely motivated by its success.</li>
<li>Organisational Excellence: Manages time and priorities effectively, ensuring tasks are completed accurately and on time even in a fast-paced environment.</li>
<li>Discretion &amp; Integrity: Handles sensitive and confidential information with professionalism and sound judgement.</li>
<li>Problem Solving: Approaches challenges proactively and with a solution-oriented mindset, taking initiative rather than waiting to be directed.</li>
<li>Collaboration: A team player who builds strong working relationships and communicates effectively with colleagues across all levels.</li>
</ul>
Why You Will Love It Here:
<ul>
<li>Work on real-world AI and advanced analytics solutions with measurable business impact.</li>
<li>Collaborate with a global team of engineers and data scientists.</li>
<li>Exposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.</li>
<li>A collaborative culture that values real outcomes.</li>
<li>Rapid learning opportunities and diverse challenges.</li>
<li>Flat organisational hierarchy with high visibility and accessibility to our leaders.</li></ul></div>

Fullstack Developer (US)

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