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business systems analyst

quantitative analyst

Triumph

<div><h1 class="jobSectionHeader">About Us</h1>
Triumph makes mobile gaming more thrilling by letting players wager - and win - real money, play in mass multiplayer games, and compete in social tournaments. We've built the top app in our App Store category and sustained exponential month-over-month growth on our revenue and active players. We're hyper-scaling our team and continuing to innovate, launching new products like Rips, our collectibles app, which has found huge success and is continuing to expand. And we're just getting started.
Triumph is backed by some of the top consumer VCs including Goodwater Capital, General Catalyst, and DraftKings Drive Fund.<h1 class="jobSectionHeader">
The Role</h1>
As a Quant Strategist, you'll sit at the intersection of mathematics, computer science, and core business decisions. You'll have a direct impact on all facets of the business, applying your quantitative rigor directly to what drives revenue and player experience. You'll build the models and frameworks that power our most critical business decisions.
You'd be joining a small, high-output quant team (4 people today) that operates more like a trading desk than a data org. We build the mathematical systems that power Triumph's core business: pricing engines, payout distributions, matchmaking algorithms, risk models, and player behavior systems.
The team is led by a former quant trader, and current members left careers in quantitative trading to be here. The problems are as deep and interesting as what you'd find at a quant fund - constrained optimization, adversarial dynamics, real-money risk - but with more ownership, faster feedback loops, and direct impact on what gets built. You ship something, and you see it in the numbers the next day.<h1 class="jobSectionHeader">
What You'll Do</h1><ul><li>
Develop and optimize core risk-taking and revenue-generating algorithms &mdash; the pricing engines, payout structures, and edge calculations that are the mathematical backbone of Triumph's business.</li><li>
Own the quantitative framework for Rips by Triumph: pricing models, pack economics, and rarity calibration.</li><li>
Design and analyze experiments (A/B tests and beyond) with rigorous statistical methodology.</li><li>
Identify high-leverage quantitative problems across the business and drive them from formulation to production impact.</li><li>
Partner closely with engineering, product, and leadership to translate model outputs into real-time production systems and strategic decisions.</li><li>
Design and build machine learning models that directly inform acquisition spend and product decisions.</li></ul><h1 class="jobSectionHeader">
Qualifications</h1><ul><li>
Bachelor's degree in a quantitative subject: math, physics, computer science, data science, or a related discipline.</li><li>
True depth and mastery over any quantitative domain: probability, statistics, applied machine learning, computer science, or math. We want spiky people who are confident that they are the best in their discipline.</li><li>
Proficiency in Python and SQL.</li><li>
Experience working with large amounts of data.</li></ul><h1 class="jobSectionHeader">
Preferred</h1><ul><li>
Prior experience as a quantitative trader or quantitative researcher.</li><li>
Experience in competitive math, physics, or CS olympiads, or a graduate degree in a quantitative discipline.</li><li>
Nationally competitive in any activity. Some members from our company include national champions in debate, Clash Royale, and Poker.</li></ul><h1 class="jobSectionHeader">
Why Triumph?</h1><ul><li>
High growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction.</li><li>
High agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth.</li><li>
High energy. Passionate team who are proud of our work and velocity (16x year over year growth).</li><li>
Competitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc.</li></ul>
Our team gathers 5 days a week at Triumph&rsquo;s headquarters at Levi&rsquo;s Plaza in San Francisco.
Compensation Range: $160K - $240K</div>

Quant Strategist

General Medicine

<div><h1 class="jobSectionHeader">Marketplace Scientist
</h1><h1 class="jobSectionHeader">About General Medicine</h1>
We&rsquo;re building a platform that makes it delightfully simple for people to find, book, and afford care across virtual and in-person visits, prescriptions, labs, imaging, and more.
As a Marketplace Scientist at General Medicine, you&rsquo;ll work directly with our Chief Economist to design the algorithms, mechanisms, and models that underpin the matching, pricing, and insurance estimation systems at the heart of the business. From understanding patient preferences to forecasting prices across complex insurance networks, your work will determine how the marketplace functions and scales.<h2 class="jobSectionHeader">
What we&rsquo;re looking for</h2>
As a Marketplace Scientist at General Medicine, you&rsquo;ll work directly with our Chief Economist to design the algorithms, mechanisms, and models that underpin the matching, pricing, and insurance estimation systems at the heart of the business. From understanding patient preferences to forecasting prices across complex insurance networks, your work will determine how the marketplace functions and scales.<h2 class="jobSectionHeader">
You should be excited to:</h2><ul><li>
Own our insurance price estimation system end to end &ndash; defining the roadmap, identifying and acquiring new data sources, and moving us from a rules-based engineering solution to a Bayesian statistical model that returns calibrated estimates with confidence intervals even where data is incomplete.</li><li>
Translate statistical models into concrete product milestones, sequencing the work across incremental launches and collaborating with engineering to get things into production.</li><li>
Work with rich but messy operational datasets &ndash; cleaning, joining, interpreting, and stress-testing them &ndash; and make the case for investing in new external sources where the evidence supports it.</li><li>
Rebuild forecasting infrastructure that is currently limited, supporting capacity planning, patient routing, and network design.</li><li>
Run counterfactual analyses and empirical studies to validate model designs and inform decisions on ad spend, utilisation, and patient direction.</li></ul><h2 class="jobSectionHeader"> 
Ideal Qualifications</h2><ul><li>
4&ndash;7 years of experience in a quantitative field (Statistics, Economics, Math, Computer Science, Physics, or similar)</li><li>
Undergraduate degree with strong quantitative rigor (economics, applied math, engineering, computer science, physics, or similar); Master&rsquo;s or PhD preferred</li><li>
Advanced fluency in Python or R, including experience working with large, messy datasets and building production-quality analyses</li><li>
Comfort with at least one programming or analytical tool beyond SQL/Excel (e.g., Python, R, dbt, BI tooling)</li><li>
Strong statistical intuition and ability to reason from first principles</li><li>
Experience building production-facing models or decision systems, not just exploratory analyses</li><li>
Comfort working with large, imperfect real-world datasets such as insurance claims or reimbursement files</li><li>
A clear, demonstrated history of academic and professional excellence</li><li>
High ownership and ability to operate in ambiguous, fast-moving environments</li><li>
Startup-ready mindset: resourceful, hands-on, and energized by ambiguity.</li></ul>
This is a hybrid role in either SF or Boston (Cambridge).</div>

Marketplace Scientist

Data Scientist, Product Analytics

Pinterest

<div>
 
 About Pinterest
 
 
 
 Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we&rsquo;re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
 
 
 Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other&rsquo;s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It&rsquo;s Possible.
 
 
 At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we&rsquo;re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we&rsquo;ll explore your foundational skills and how you collaborate with AI.
 
 
 Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
 
 
 We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest&rsquo;s revenue growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand revenue growth and behavior, and define metrics to grow and sustain our advertiser base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Analytics and others.
 
 
 The role is within the Marketing team and would be supporting business marketing efforts focused on driving revenue growth for Pinterest.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, organic social, email, in person events, webinars, elearning platform etc.
 </li>
 <li>
 Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models&mdash;to optimize marketing strategies and enhance audience targeting.
 </li>
 <li>
 Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels.
 </li>
 <li>
 Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks.
 </li>
 <li>
 Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives
 </li>
 <li>
 Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
 </li>
 <li>
 Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.
 
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 3+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
 </li>
 <li>
 Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
 </li>
 <li>
 Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
 </li>
 <li>
 Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
 </li>
 <li>
 Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries.
 </li>
 <li>
 Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
 </li>
 <li>
 Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely.
 </li>
 <li>
 Experience leading key technical projects.
 </li>
 <li>
 Strong Experimentation background.
 </li>
 <li>
 Statistical rigor. Experience with causal inference projects.
 
 
 
 </li>
 </ul>
 
 In-Office Requirement Statement
 
 
 
 <ul>
 <li>
 We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
 </li>
 <li>
 This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
 
 
 
 </li>
 </ul>
 
 Relocation Statement:
 
 
 
 <ul>
 <li>
 This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
 
 
 
 </li>
 </ul>
 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
 
 
 
 Information regarding the culture at Pinterest and benefits available for this position can be found here.
 
 
 
 US based applicants only
 
 
 $114,297&mdash;$235,319 USD
 
 
 
 Our Commitment To Inclusion
 
 
 
 Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
 
 
</div>

Data Scientist II, Growth Marketing

OpenAI

Careers
 
Data Scientist, People Innovation
 
Data Science - San Francisco
 
About the Role
 
We’re hiring a Data Scientist to support People Innovation Labs, a fast-moving engineering team embedded in the People organization focused on rethinking how we find and retain the best talent and empower everyone to do their best work.
 
From recruiting to culture, we’re designing systems and products that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation.
 
In this role, you’ll be embedded with Product and Engineering to ensure our work drives measurable business outcomes.
 
What You’ll Do
 
Define success metrics for agentic recruiting and HR systems, including leading indicators that enable weekly iteration.
 
Design measurement and experimentation frameworks for always-on systems across every stage of the candidate and employee lifecycle — using holdouts, staged rollouts, and quasi-experimental methods when needed.
 
Partner with PMs and engineers to instrument, evaluate, and monitor launches so every meaningful release has observability and a credible read on incremental value.
 
Translate behavioral and model-driven signals into decisions: what to scale, where to intervene, and how to allocate human and compute attention across segments.
 
Build repeatable decision loops (pre-launch criteria → post-launch read → next action) that convert analysis into shipped changes.
 
What We’re Looking For
 
10+ years in a quantitative role (e.g., Data Science, Decision Science), ideally at a product-led company or in the internal people software space.
 
Deep grounding in experimentation, causal inference, and applied statistics, with experience designing and interpreting tests in real-world, always-on environments.
 
Strong technical fluency in SQL and Python, including working directly with messy, incomplete behavioral data to quantify impact.
 
Proven track record of translating results into shipped decisions (product, lifecycle, targeting, routing).
 
Strong business judgment and a bias toward action: able to scope ambiguous problems, define success, and move quickly from insight to strategy.
 
Excellent communicator and partner to PMs/Engineers; comfortable influencing stakeholders and presenting recommendations to senior leadership.
 
Interest in building company culture and/or recruiting the world’s most talented people.
 
Nice to Have
 
Familiarity with large language models and AI-assisted operations platforms.
 
Experience working on operational automation and decision systems (routing, prioritization, optimization).
 
Experience operating in early-stage or rapidly evolving environments, including building measurement and experimentation frameworks from scratch.
 
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 – $342K + Offers Equity

Data Scientist, People Innovation

Aurora Innovation

<div><div>Who we are
<div>
Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.</div><div> 
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.</div> 
<div></div>
<div>
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.</div></div><div></div> 
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are searching for a Senior Business Analyst, Workforce Strategy to join the Operations Excellence team. In this role, you will forecast, allocate, and optimize all operations headcount to align resource plans and schedules to hiring and vendor engagement strategies. You will be at the forefront of our staffing and vendor management strategy, working closely with cross-functional teams to gather and analyze data, identify trends, and develop plans that support our operational goals. This role requires strategic orchestration, analyzing workforce needs, and driving momentum under a fast-paced, ever-changing environment.

In this role, you will
<ul>
<li>Partner with Operations, Strategy, Recruiting, and Finance leaders to forecast and align headcount needs against organizational strategy and roadmap</li>
<li>Build sophisticated financial and operational models that connect business drivers to staffing requirements, recruiting / vendor management plans, and budget implications</li>
<li>Build intuitive dashboards, metrics, and reports that highlight staffing utilization, labor productivity constraints, and capacity gaps</li>
<li>Partner with senior Operations and Finance leaders to develop scenarios balancing service levels, cost optimization, and growth objectives</li>
<li>Apply probabilistic modeling to simulate cost &amp; efficiency trade-offs and resource optimization</li>
<li>Lead monthly headcount data analysis and vendor management strategy reviews to synthesize headcount performance inputs from multiple stakeholders into cohesive strategic recommendations</li>
<li>Analyze large, disparate datasets to uncover statistical trends in labor productivity and attrition</li>
<li>Monitor workforce KPIs and identify program gaps or execution issues that impact profitability and scalability</li>
<li>Improving data integrity and automating manual reporting workflows to increase functional efficiency</li>
</ul>
Required Qualifications
<ul>
<li>5+ years of experience in management consulting, investment banking, engineering operations, FP&amp;A, or strategic operations, ideally in a fast-scaling tech environment</li>
<li>Bachelor's degree and / or work experience in a quantitative field (e.g. Operations Research, Business Analytics, Economics, Math, Statistics, Finance)</li>
<li>Exceptional Excel / Google Sheets financial modeling skills</li>
<li>Expert in SQL and building dashboards in business intelligence tools (e.g., Mode, Tableau); proficiency in advanced statistical modeling and Python a plus</li>
<li>Experience building/maintaining data pipelines and DBT models</li>
<li>Strategic mindset with ability to balance detailed analysis with big-picture thinking</li>
<li>Track record of multi-functional leadership and excellent stakeholder management to drive rapid, effective execution across the organization</li>
<li>Strong executive presence with demonstrated ability to communicate complex analyses clearly to senior stakeholders</li>
<li>Superior attention to detail</li>
<li>Ownership mentality to drive issues and tasks to completion, with a strong bias for action</li>
</ul>
The base salary range for this position is $115,000 - $167,000 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-KM2

 #Mid-Senior<div>
Working at Aurora 
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together &mdash; all without any jerks.

We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.

Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.

Our commitment to safety

At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization's long-term success by prioritizing working safely, no matter what.

Our commitment to inclusion

Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.

For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora's California Employment Privacy Policy.</div></div>

Senior Business Analyst, Workforce Strategy

<div>Content strategist and operations specialist to drive adoption of Instagram's TV product 
 
 
<h3 class="jobSectionHeader">Product Content Engineer Responsibilities:
 
</h3><ul><li>Develop and execute content strategy for the Instagram TV app, setting quality standards and measurement frameworks for new features and experiences</li><li>
Partner with design and product teams to ideate, prototype, and launch innovative content formats that resonate with varying audiences, leveraging AI tools and solutions</li><li>
Leverage quantitative and qualitative insights to inform content decisions and optimize user experiences</li><li>
Build influence across teams, advocating for content quality and user-centric design</li><li>
Lead through collaboration, fostering creativity, experimentation, and continuous improvement</li><li>
Stay ahead of industry trends, bringing fresh ideas and a future-focused mindset to the team</li><li>
Deliver completion of high-quality editorial work in a fast-paced, dynamic work environment</li></ul> 
 
 
<h3 class="jobSectionHeader">Minimum Qualifications: 
</h3><ul><li>
6+ years of experience with digital content strategy, journalism, production and relevant skills</li><li>
Demonstrated expertise in short-form video content and emerging video formats</li><li>
Experience working and navigating ambiguity in time-sensitive environments</li><li>
Proven experience to collaborate with cross-functional teams (product, engineering, design, analytical)</li><li>
Demonstrated editorial judgment and problem-solving skills and experience to document judgement logic into reusable frameworks to scale across teams</li><li>
Proficiency in leveraging quantitative insights to inform content decisions</li><li>
Track record of building influence and driving alignment across stakeholders</li></ul> 
 
 
<h3 class="jobSectionHeader">Preferred Qualifications: 
</h3><ul><li>
Experience with product launches in ambiguous or zero-to-one environments</li><li>
Familiarity with developing content strategy, establishing quality standards and experiences video platforms</li><li>
Background in OTT, TV and/or digital media production</li><li>
Experience working with product teams or programs (or other equivalent fields) from roadmapping through delivery</li></ul> 
 
 
<h3 class="jobSectionHeader">About Meta: 
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics. 
 
 
<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com. 
 
$162,000/year to $227,000/year + bonus + equity + benefits 
 
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

Product Content Engineer

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