sfgate deputy managing editor, news division

city reporter

high school sports reporter Jobs in San Francisco

high school sports reporter

public safety reporter Jobs in San Francisco

public safety reporter

reporter, google

sfgate deputy managing editor, news division Jobs in San Francisco

reporter google

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. 
 
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: 
<ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul> 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA; New York, NY, USA; Washington D.C., DC, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience. 
</li>
<li>3 years of experience designing, scoping, executing, and delivering research and analysis projects. 
</li>
<li>Experience translating business problems into research questions and translating research findings and insights into marketing recommendations. 
</li>
<li>Experience managing qualitative, quantitative and measurement agencies. 
</li>
<li>Experience managing cross-functional or cross-team projects.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience using AI tooling to conduct or facilitate research and measurement.</li>
<li>Knowledge of Washington DC and the US political environment.</li>
<li>Knowledge of policy in international and multinational (e.g. EU) policymaking processes.</li>
<li>Demonstrated interest in AI and its impact on society.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
In order to build excellent products and tell great stories, we must first profoundly understand our audiences - what motivates them, why they think and behave the way they do, and what they think of our brands and products. The Consumer Apps Marketing Research and Insights team is at the heart of developing this understanding.<div>
As a Research Manager, you will be embedded within the Reputation Marketing team, and inform how Google builds its reputation with the priority audiences shaping the AI landscape (policymakers, scientists, voters, and more). In this role, you will utilize both traditional research methods and new AI tooling to help the Reputation team understand and respond to the changing AI landscape via sharp, insights-driven marketing and communications.
Your primary focus will be partnering with the AI Responsibility team: conducting and synthesizing brand tracking, qualitative research, and real-time social analysis across a variety of core issue areas (science, health, government, economy, and more). Your role will be to identify the audiences that matter in shaping the narratives for each issue, understand how those narratives spread and solidify, and provide tactical recommendations for how the AI Responsibility team should react. Managing stakeholder relationships, staying informed on Marketing priorities, scoping syntheses/studies to support strategy discussions, and managing a measurement framework will be an integral part of your day-to-day work.
As a secondary-priority, you will help manage the global policymaker sentiment tracker. Your key responsibilities include helping to improve the program&rsquo;s operations, synthesizing findings and connecting dots between other programs, and presenting findings to teams across Google.</div>
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 + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Scope custom research from start to finish, including: designing an effective brief, managing Requests for Proposals (RFPs), onboarding research agencies, choosing a methodology, executing the study, and deploying insights and recommendations via compelling narratives in a variety of formats (decks, sites, emails, presentations, etc.).</li>
<li>Distill findings from a variety of sources into cohesive research narratives, ultimately delivering the underpinning insight that drives critical leadership decision-making.</li>
<li>Manage the global policymaker tracking program, synthesize insights from the research, and present to teams throughout Google.</li>
<li>Share research findings and insights via presentations in forums large and small, with everyone from junior to executive staff.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research and Insights Manager, Marketing, Reputation and AI Responsibility

Youtube

<div>This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
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: New York, NY, USA; Atlanta, GA, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Bruno, CA, USA; San Francisco, CA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience. 
</li>
<li>10 years of experience in advertising, marketing technology, management consulting, or product management. 
</li>
<li>2 years of experience managing individuals and leading cross-functional teams. 
</li>
<li>Experience leading operational initiatives.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience in Google&rsquo;s ad solutions and value proposition in the market, and creative ads products and generative AI.</li>
<li>Ability to manage multiple projects and stakeholders, as well as influence and drive results without official authority.</li>
<li>Ability to operate and drive clarity in a fast moving and ambiguous space, and to navigate large complicated organizations.</li>
<li>Ability to influence product leadership through development of strategic programming and event execution that focuses on showcasing strategic priorities and key pain points.</li>
<li>Excellent problem solving and analytical skills, with the ability to provide data driven insights to shape strategy and key decisions.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
This role sits in the YouTube Ads GTM team with a mission to fuel innovation that keeps YouTube and Video free and accessible to the world by effectively monetizing YouTube with advertisers. The Creative team's mission is to accelerate advertisers and partners' ability to create more effective ads that will drive their business objectives and grow Google/YouTube investment. The team plays a vital role in empowering advertisers and partners with the creative solutions and resources they need to be set up for success across the Ads platforms.
As the Senior Manager, you will lead a team focused on first-party creative products for the YouTube and Video ad solutions while also driving cross-GPS creative efforts to ensure a cohesive customer experience. In this role, you will work collaboratively with stakeholders across GPS, Product, Marketing, gTech, GTM, and Sales to ensure Creative offerings meet the needs of our advertisers while also driving commercialization strategy and execution globally.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $186000 - $270000 (USD) + 20% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Partner with Product and Engineering to shape the roadmap for emerging creative solutions, vetting product-market fit and ensuring alignment with YouTube Ads' strategic goals.</li>
<li>Build strategic business cases for innovations by leveraging customer needs and market trends to prioritize features that solve real-world advertiser pain points.</li>
<li>Lead go-to-market strategy for YouTube/Google Creatives, managing early-stage pilots and translating complex features into clear business motions that empower global teams.</li>
<li>Serve as the primary market feedback channel, leading test and learn incubation phases and synthesizing data from pilots to iterate before global scaling.</li>
<li>Lead high-performing ICs and orchestrate alignment across Sales, Marketing, Legal, and PR to ensure a unified approach to launching new creator solutions.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Manager, Creative Solutions, YouTube Ads GTM

Greptile

<div>
 We want to build agents that autonomously validate code changes. Today that looks like AI that reviews pull requests in GitHub, catching bugs and enforcing standards. We&rsquo;re reviewing close to 1B lines of code a month now for over 3,000 companies.
 
 
 
 Problems We&rsquo;re Excited About
 
 
 
 <ul>
 <li>
 Coding standards can be idiosyncratic and are often poorly documented; can we build agents that learn them through osmosis like a new hire might?
 </li>
 <li>
 Can we identify for each customer what types of PR feedback they do and don&rsquo;t care about, perhaps using some sample efficient RL, in order to increase signal-to-noise ratio?
 </li>
 <li>
 Some bugs are best caught by running the code, potentially against discerning AI-generated E2E tests. Can we autonomously deploy feature branches and use agents to parallel try to break the application to detect bugs?
 
 
 </li>
 </ul>
 
 Trajectory
 
 
 
 <ul>
 <li>
 7,000+ customers
 </li>
 <li>
 Raised $30M from Benchmark, YC, Paul Graham, Initialized
 
 
 </li>
 </ul>
 
 Team
 
 
 
 <ul>
 <li>
 We have assembled a small, talent dense team who have scaled critical functions at companies like Stripe, Google, Figma, LinkedIn, etc.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 BS in Computer Science or equivalent
 </li>
 <li>
 Some research experience, ideally with ML/LMs/Agents
 </li>
 <li>
 Strong programming skills and good product intuition
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Experiment with and apply recent advancements in agents/LMs etc. to improve the performance and capabilities of our products
 </li>
 <li>
 Example: you might study multi-agent architectures, prototype and evaluate a multi-agent code review workflow, and then work with a team to integrate successful prototypes into production systems
 </li>
 <li>
 Stay current with the latest research in LLMs, information retrieval, and developer tooling
 
 
 </li>
 </ul>
 Compensation Range: $180K - $280K
 
 
</div>

Research Engineer

Artificial Analysis

<div>Job Description &ndash; Member of Technical Staff
Location: San Francisco (preferred), Sydney, Melbourne, Brisbane
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don&rsquo;t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D&rsquo;Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
The Opportunity
Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities, from AI labs and enterprises to media, investors, and policymakers. This role puts you at the forefront of the AI Frontier &ndash; you won&rsquo;t just observe the cutting edge of AI, your work will define what cutting edge means.
We&rsquo;re hiring Members of Technical Staff to design the evaluations that set the standard for how AI is measured, produce analysis that shapes how companies and the broader industry understand AI, and work directly with the leading AI labs and enterprises who rely on our insights. You&rsquo;ll develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of our platform. The bar for success is becoming a world expert in modern AI technologies.
This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. Many of our strongest team members come from top-tier strategy consulting backgrounds, though we hire from a range of disciplines.
You&rsquo;ll work directly with our founders and across the full team. The people who join now will have an outsized role in shaping both our products and the company itself. The coming wave of AI scaling is going to change the world in ways we don&rsquo;t yet understand - and we&rsquo;re offering a front row seat.
What You&rsquo;ll Do<ul><li>AI Benchmarking Product Development: Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets that advance our benchmarking capabilities</li><li>Strategic Analysis of AI: Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy</li><li>Partner with Leading AI Companies: Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen</li><li>Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking</li><li>Company Strategy: We are a startup and are looking for the future leaders of Artificial Analysis. Team members will be expected to contribute to company strategy and should expect to drive large initiatives that will support us in being the leading AI benchmarking company</li></ul>
What We&rsquo;re Looking For
You have an intense interest in AI, a genuine desire to become a world expert in the field, and strong analytical and coding skills to back it up.
We hire MTS from three backgrounds. You should clearly fit one of these profiles:
Strategy Consulting
Backgrounds include: Management Consultant, Associate, Engagement Manager, Data Scientist, or similar roles at firms like McKinsey, BCG, Bain, or equivalent. Strong preference will be given to candidates with experience within a Data Analytics division such as QuantumBlack, AI by McKinsey, BCG X or equivalent.
You know how to structure ambiguous problems, build analytical frameworks, and communicate findings to senior stakeholders. You&rsquo;re now looking to apply those skills to something deeply technical. The key differentiator: you have a genuine technical interest in AI and ability to code. You follow model releases, you have opinions on where the technology is heading, and you want to be closer to the subject matter than consulting allows.
AI and Machine Learning
Backgrounds include: ML Engineer, ML Researcher, AI Engineer, Forward Deployed Engineer, Technical PM, Solutions Engineer, Technical Pre-Sales, or similar roles at AI companies or AI-focused teams.
You have hands-on experience with modern AI systems and understand how models work at a technical level. You&rsquo;re looking for a role with more breadth and industry exposure than a pure research, engineering, or PM position, where you can combine technical depth with client-facing work and strategic analysis.
Technical Product Management
Backgrounds include: Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.
You&rsquo;ve built and shipped AI products in a fast-moving environment where you had to operate across research, engineering, product, and commercial work simultaneously. You understand both how AI systems work technically and how they get brought to market. You&rsquo;re looking for a role where that breadth is the job, not a side effect of being early at a small company.
Across all three profiles, we require:<ul><li>3+ years of relevant professional experience</li><li>Strong analytical and critical thinking skills</li><li>Proficiency in Python and data analysis</li><li>Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools</li></ul>
Why Artificial Analysis?<ul><li>Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.</li><li>Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.</li><li>Work with the most important players in AI: You&rsquo;ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.</li><li>Join at a defining moment: We&rsquo;re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.</li><li>Competitive compensation including equity</li></ul>
1</div>

Member of Technical Staff

Medallion

<div>
 
 About Medallion:
 
 
 
 At Medallion, we believe healthcare teams should focus on what truly matters - delivering exceptional patient care. That&rsquo;s why we&rsquo;ve built a leading provider operations platform to eliminate the administrative bottlenecks that slow healthcare organizations down. By automating licensing, credentialing, payer enrollment, and compliance monitoring, Medallion empowers healthcare operations teams to streamline their workflows, improve provider satisfaction, and accelerate revenue generation, all while ensuring superior patient outcomes.
 
 
 As one of the fastest-growing healthcare technology companies - ranked #3 on Inc. Magazine&rsquo;s 2024 Fastest-Growing Private Companies in the Pacific Region, #5 on LinkedIn's 2024 Top US Startups, a Glassdoor Best Place to Work in 2024 &amp; 2025, and featured on The Today Show - Medallion is revolutionizing provider network management. Our CEO, Derek Lo, has been named one of the Top 50 Healthcare Technology CEOs of 2024 by The Healthcare Technology Report. Backed by $130M in funding from world-class investors like Sequoia Capital, Google Ventures, Optum Ventures, Salesforce Ventures, Acrew Capital, Washington Harbour, and NFDG, we&rsquo;re on a mission to transform healthcare at scale.
 
 
 
 About the role
 
 
 
 As a Software Engineer, you will work closely with the team on a variety of high-impact projects, shipping production code during your very first week, getting steady exposure to a broad set of technologies, and rapidly taking on more responsibility. Expect to achieve massive personal growth and ship features that make a meaningful impact on the healthcare system. All on a supportive and experienced team of engineers, PMs, and designers.
 
 
 This role reports to one of our Engineering Managers and base compensation for this role may land between $145,000-$175,000. In addition to base salary, Medallion offers equity, and benefits as part of the total compensation package. Many factors are considered when determining pay including: market data, geographic location, skills, qualifications, experience, and level.
 
 
 
 What you'll do
 
 
 
 <ul>
 <li>
 Work on meaningful projects with business impact from your very first day.
 </li>
 <li>
 Scope and lead large projects, addressing ambiguity, creating plans, and ensuring technical excellence
 </li>
 <li>
 Help develop the team roadmap, balancing key technical and product tradeoffs
 </li>
 <li>
 Teach and mentor members of the engineering team, constantly modeling how great software should be developed
 </li>
 <li>
 Work within our tech stack, which includes Python and Django on the backend, and React, JavaScript, and TypeScript on the frontend
 </li>
 <li>
 Write a lot of code :)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Have 2+ years of experience as a software engineer
 </li>
 <li>
 Have worked in multiple functional areas &ndash; frontend, backend, platform, services, data, or cloud infrastructure.
 </li>
 <li>
 Have a strong technical foundation
 </li>
 <li>
 Care deeply about both technical success and product success
 </li>
 <li>
 Are an excellent communicator
 </li>
 <li>
 Get things done
 
 
 </li>
 </ul>
 
 You might also have an interest in:
 
 
 
 <ul>
 <li>
 Are an excellent communicator
 </li>
 <li>
 Get things done
 
 
 </li>
 </ul>
 
 We prioritize candidate safety. Please be aware that official communication will only come from @medallion.co email addresses.
 
</div>

Software Engineer

David Joseph & Company

<div>San Francisco, CA &middot; On-site &middot; Full-time 
Compensation: $180,000&ndash;$220,000 + competitive equity<h2 class="jobSectionHeader">
About the Company</h2>
An early-stage (post&ndash;Series A) company building the training data and evaluation infrastructure that frontier AI labs use to improve their models &mdash; designing high-signal datasets and running rigorous evaluations that go beyond static benchmarks. A small team where individual contributors have direct impact on how the next generation of models learns. The company has raised $30M (~$300M valuation), with a founding team drawn from Jane Street, Citadel, Google, Goldman, and Stanford AI Lab.
Founded 2025 &middot; 11&ndash;50 people &middot; Industry: Consumer Tech<h2 class="jobSectionHeader">
The Role</h2>
As a SWE (Environments), you'll design the datasets and evaluation rubrics that directly influence how frontier models learn &mdash; going from hypothesis to live experiment quickly, with output feeding directly into model training runs at scale.
What you'll be doing<ul><li>
Design data slices and explore data shapes that expose meaningful model failure modes across domains like finance, code, and enterprise workflows</li><li>
Build and refine evaluation rubrics and reward signals for RLHF and RLVR training pipelines</li><li>
Model annotator behavior and run experiments to improve different model capabilities</li><li>
Develop quantitative frameworks for measuring dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Create and manage both real-world and synthetic data pipelines</li><li>
Partner with lab research teams to translate their training objectives into concrete data and evaluation specifications</li></ul>
Tech stack: Not specified<h2 class="jobSectionHeader">
Requirements</h2><ul><li>
1&ndash;4 years of software engineering experience with strong technical depth</li><li>
Design targeted data slices that surface model failure modes across high-stakes domains (finance, code generation, enterprise workflows)</li><li>
Build and iterate on evaluation rubrics and reward signals powering RLHF and RLVR training pipelines</li><li>
Develop quantitative frameworks to measure dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Own end-to-end real world and synthetic data pipelines, from scoping with research teams to production-ready evaluation specs</li><li>
Run annotator modeling experiments to improve model capabilities across task types</li></ul><h2 class="jobSectionHeader">
Green Flags</h2><ul><li>
Experience at RL environment companies</li><li>
Background in AI safety or benchmarking organizations like METR or Artificial Analysis</li><li>
Genuine obsession with how data structure, selection, and quality drive model behavior</li><li>
Ability to design lightweight experiments and move fast</li><li>
Former founders or early engineers at early stage startups</li><li>
Demonstrated ability to work hard, learn fast, and care deeply about details</li></ul><h2 class="jobSectionHeader">
Red Flags</h2><ul><li>
Pure research profile with limited engineering output, this is a SWE role, shipping matters</li><li>
Looking for standard product engineering work &mdash; the real scope is data pipelines, reward modeling, and eval infra</li></ul><h2 class="jobSectionHeader">
Why Join</h2><ul><li>
Outsized total cash: base plus substantial profit share, plus competitive equity</li><li>
Direct impact on frontier AI model development, working with the world's leading AI labs</li><li>
High ownership on a small, early team &mdash; scope, build, and ship end to end</li></ul><h2 class="jobSectionHeader">
Details</h2><ul><li>
Location: San Francisco, CA</li><li>
Work policy: On-site</li><li>
Compensation: $180,000&ndash;$220,000 + equity</li><li>
Visa sponsorship: O-1, OPT</li><li>
Employment type: Full-time</li></ul></div>

Software Engineer, RL Environments

Uber

<div>About the Role
 
 
Compensation is one of Uber's largest expense pools. As a Senior Associate on the Corporate Finance team, you will own the planning, forecasting, and analysis for total compensation across Uber's global employee workforce. Sitting between Finance and the People organization, you will partner with Compensation, Equity, Benefits, and People teams to pressure-test the assumptions behind our compensation cost base, and translate them into the consolidated forecast leadership uses to manage the P&amp;L, margin, and profitability commitments.
 
 
What the candidate will do
<ul><li>Own the compensation and SBC forecast - Build and maintain the consolidated forecast for compensation and benefits across annual, quarterly, and monthly cycles, translating headcount plans into fully loaded cost by function and geography. Maintain the SBC amortization model and support the GAAP-to-Adjusted-EBITDA bridge and guidance inputs. Partner with Accounting on close, accruals, and variance analysis.
</li><li>Own share count and dilution analysis - Maintain the diluted share count forecast and quantify the dilutive impact of compensation decision. Model repurchase and net dilution effects, support the diluted EPS and free cash flow bridges, and build scenarios on burn rate and overhang with Accounting, Treasury, and IR.
</li><li>Partner with the People organization - Serve as the Finance counterpart to Compensation, Equity, Benefits, and People Analytics, bringing a P&amp;L lens before decisions are finalized. Price the annual compensation cycle - merit, promotion, and refresh pools, market adjustments - and evaluate benefits, location, and banding changes. Establish a reconciled view of headcount and comp data across People and Finance systems.
</li><li>Support leadership and improve the process - Feed assumptions into the consolidated forecast, long-range plan, and profitability targets, and build scenario analyses on trade-offs across headcount, comp mix, and cash vs. equity. Prepare decision-ready materials for executive reviews, track deliverables, and drive automation and documentation of core processes.
</li></ul>Basic Qualifications
<ul><li>BS/BA in Finance, Accounting, Economics, or other relevant subject
</li><li>4+ years of proven experience
</li><li>Advanced experience with Excel/Google Sheets, including driver-based financial modeling
</li><li>Prior financial and/or analytical experience, including FP&amp;A, investment banking, management consulting, private equity, or operations
</li><li>Self-starter with attention to detail and swift, high-quality execution
</li></ul>Preferred Qualifications
<ul><li>Strong analytical and communication skills, moving between model mechanics and the executive-level &quot;so what&quot;
</li><li>Working knowledge of SBC and dilution mechanics - ASC 718, vesting and amortization, ESPP, treasury stock method, overhang, and burn rate
</li><li>Familiarity with compensation program design: merit, promotion and refresh budgets, banding, geo differentials, and benchmarking
</li><li>Understanding of enterprise planning systems (e.g., IBM Cognos TM1, Oracle); Workday or equity administration platforms a plus
</li><li>Experience with large datasets and BI/query tools (SQL, Tableau); interest in AI and automation to reduce manual effort
</li>Public company experience a plus 
<li>
</li></ul> 
 
For New York City, NY-based roles: The base salary range for this role is USD $131,000 per year - USD $145,000 per year. 
 
For San Francisco, CA-based roles: The base salary range for this role is USD $131,000 per year - USD $145,000 per year. 
 
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. 
 
Ready to Ride? 
 
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you. 
 
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
 
 
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements. 
 
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</div>

Strategic Finance, Sr Associate - US&C Mobility

Explore 17+ Reporter google in San Francisco this August. Find roles across top companies and apply now to boost your career.