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business recruiter

Brex

<div>
 
 Why join us
 
 
 
 Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex&rsquo;s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
 
 
 Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We&rsquo;re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
 
 
 
 Recruiting at Brex
 
 
 
 Recruiting is where every career at Brex begins. We&rsquo;re the first point of connection for future builders and leaders, helping candidates see what&rsquo;s possible. We partner with leaders across the company to find exceptional talent and build high-performing teams. We move quickly, think strategically, and take pride in creating a thoughtful, welcoming candidate experience from the very first contact. We don&rsquo;t just fill roles, we shape the culture at Brex, finding the next generation of builders and leaders.
 
 
 
 What You&rsquo;ll Do
 
 
 
 As a Recruiter on the Operations Recruiting team, you play a pivotal role in scaling the critical business functions at Brex, including Customer Support and Operations. You will work closely with hiring managers to create the strategy and roadmap to attract the best talent to Brex. As the expert in talent acquisition, you will help attract, evaluate, and hire the best for our Operations teams. We are moving quickly so you will own projects and programs extending beyond the typical recruiting activities, ensuring process excellence and top-notch experience for all candidates. This is a 12-month contract with an opportunity for full-time conversion.
 
 
 
 Where you&rsquo;ll work
 
 
 
 This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Partner closely with hiring managers in Operations to hiring strategies and ensure a strong pipeline of candidates
 </li>
 <li>
 Proactively source passive candidates through various channels, including LinkedIn Recruiter and networking
 </li>
 <li>
 Own the full candidate experience from sourcing to close, ensuring a seamless and engaging hiring process
 </li>
 <li>
 Create comprehensive talent maps to share insights on the talent market
 </li>
 <li>
 Represent Brex to candidates, helping to find and attract exceptional talent
 </li>
 <li>
 Interview candidates combining various methods (e.g. structured interviews, technical assessments, and behavioral questions)
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 1+ years of full-cycle high volume recruiting experience
 </li>
 <li>
 Strong ability to build relationships with Operations and Customer Experience hiring managers, understanding their needs and providing strategic hiring support
 </li>
 <li>
 Strong organizational skills to coordinate recruiting efforts across multiple stakeholders
 </li>
 <li>
 Knowledge of HR practices and employment practices
 </li>
 <li>
 BS in Human Resources or a relevant degree
 </li>
 <li>
 Must be willing to work in office 3 days per week on Monday, Wednesday and Thursday
 
 
 </li>
 </ul>
 
 Bonus points
 
 
 
 <ul>
 <li>
 Experience with Greenhouse ATS and Gem
 </li>
 <li>
 Experience working in a high-growth startup
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The expected salary range for this role is $96,728 - 120,910. However, the starting base pay will depend on a number of factors including the candidate&rsquo;s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
 
 
 
 Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
 
</div>

Business Recruiter

Metaview

<div><div><div><h2 class="jobSectionHeader">Location</h2>
San Francisco
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Location Type</h2>
On-site
</div><div><h2 class="jobSectionHeader">Department</h2>
People
</div></div><div><div>Overview
</div><div><div><h2 class="jobSectionHeader">About the role</h2>
This is Metaview's first in-house recruiter, working directly with Shahriar, co-founder &amp; CTO. It's a full-cycle role with the expectation that you'll do &quot;the whole thing&quot; and some. To name a few, this means:
<ul><li>Building and maintaining a strong pipeline of top-tier technical candidates to support current and future hiring needs.
</li><li>Proactively sourcing, engaging, and nurturing relationships with top technical talent using various sourcing tools and strategies.
</li><li>Screening and assessing candidate qualifications and fit for open positions.
</li><li>Continuously refining and improving pitches to attract top tier candidates.
</li><li>Maintaining accurate and organized candidate data in the Applicant Tracking System (ATS).
</li><li>Fostering a world-class candidate experience by ensuring timely communication and engagement.
</li><li>Staying up to date with industry best practices and emerging tools.
</li></ul>At Metaview, we want everyone to do the best work of their lives here. For this role, success means looking back with pride, knowing you played a key part in building one of the most legendary teams in history. That's our goal&mdash;anything less isn't worth our time.
<h2 class="jobSectionHeader">About you</h2>
<ul><li>You're fiercely ambitious and fundamentally interested in doing great work.
</li><li>You're passionate about your craft and it feels weird to call it &quot;work&quot;.
</li><li>You have a track record of full-cycle technical recruiting for a product company, consistently finding and closing world-class talent at different seniority levels.
</li><li>You have a track record of being relentlessly resourceful.
</li><li>You use AI to be a 10x recruiter.
</li><li>You have excellent verbal and written communication skills, with an authentic (i.e., not overly &quot;professional&quot;) communication style.
</li><li>You don't take yourself too seriously. A wry sense of humour is always appreciated!
</li><li>You're excited about being a vocal advocate for our products, especially given that we're shaping the future of the recruiting space.
</li></ul><h2 class="jobSectionHeader">About who you'll work with</h2>
We're a small team, so you'll work quite closely with everyone. Your primary sparring partner, however, will be Shahriar&mdash;Metaview's co-founder &amp; CTO. Hear directly from him about what it's like to work with him:
I care about nothing more than the team we build&mdash;literally. This means I view our recruiting activities as the most critical work we do as a company. However, I'm not an easy person to work with. I'm intense and highly opinionated. I hold myself&mdash;and consequently, those around me&mdash;to the highest performance standards or, at a minimum, expect them to possess the drive to reach that level. I deeply value curiosity and initiative. Honestly, only a genuine passion for your craft will enable you to successfully partner with me. If this is just 'work' to you, you'll eventually come to resent me.
<h2 class="jobSectionHeader">About where you&rsquo;ll work</h2>
This role is based in our San Francisco office, located at 75 Federal Street. You'll be expected to work from the office at least three days a week: Tuesdays, Wednesdays, and Thursdays.</div></div></div></div>

Technical Recruiter

Andiamo

<div>
 Senior Technical Recruiter
 
 
 
 About Us
 
 
 
 We are building the infrastructure layer for modern AI. Our cloud platform enables companies to train, deploy, and run large scale AI models faster, more efficiently, and at massive scale.
 
 
 With more than $200M in funding and rapid customer adoption, we are helping define the next generation of AI infrastructure. Our platform powers teams building advanced machine learning systems across industries ranging from autonomous systems to enterprise software.
 
 
 We are growing quickly and assembling a world class team of engineers, researchers, and builders who are passionate about pushing technology forward.
 
 
 
 About The Role
 
 
 
 We are looking for an exceptional Senior Technical Recruiter to help build the teams powering our next phase of growth.
 
 
 You will own full cycle recruiting for highly technical roles across engineering, infrastructure, and machine learning. You will partner closely with hiring managers and engineering leadership while driving sourcing strategies that consistently attract elite technical talent.
 
 
 This role requires someone who thrives in competitive markets, builds strong relationships with passive candidates, and takes pride in delivering exceptional candidate experiences.
 
 
 What You Will Do
 
 
 <ul>
 <li>
 Own full cycle recruiting for technical roles including distributed systems engineering, machine learning infrastructure, platform engineering, and related disciplines.
 </li>
 <li>
 Develop and execute sourcing strategies to engage highly sought after technical candidates through outbound sourcing, research, referrals, and network development.
 </li>
 <li>
 Partner closely with engineering leaders and hiring managers to deeply understand team needs and role requirements.
 </li>
 <li>
 Screen and evaluate candidates while maintaining a high technical bar and strong candidate experience.
 </li>
 <li>
 Manage and nurture relationships with senior level and passive candidates across the AI and infrastructure ecosystem.
 </li>
 <li>
 Drive efficient hiring processes from initial outreach through offer negotiation and closing.
 </li>
 <li>
 Help refine and improve recruiting processes as the company continues to scale.
 
 
 </li>
 </ul>
 What Makes You Successful In This Role
 
 
 <ul>
 <li>
 5 or more years of full cycle recruiting experience with a strong focus on technical hiring.
 </li>
 <li>
 Experience recruiting engineers in areas such as distributed systems, infrastructure, machine learning, or AI platforms.
 </li>
 <li>
 Track record of sourcing and closing highly competitive technical candidates.
 </li>
 <li>
 Ability to understand complex technical roles and communicate credibly with engineering leaders.
 </li>
 <li>
 Strong relationship builder who develops trust with candidates and hiring managers.
 </li>
 <li>
 Highly organized with strong prioritization and execution skills in fast moving environments.
 
 
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 
 
 We offer competitive compensation including base salary and equity. Benefits include health coverage, flexible vacation, retirement plans, and additional perks that support employee wellbeing and growth.
 
 
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

Senior Talent Acquisition Specialist

Forage

<div>
 
 About Us
 
 
 
 Forage is building the modern payments stack that powers inclusive commerce. Our technology enables grocers, delivery platforms, and point-of-sale systems to seamlessly accept EBT payments both online and in-store. Beyond infrastructure, we&rsquo;re helping SNAP EBT shoppers stretch their grocery budgets every week, making healthy food more affordable and accessible to the 42 million Americans on food assistance.
 
 
 Backed by leading fintech investors, Forage is a fast-growing startup with a clear vision and real-world impact, feeding tens of thousands of families daily. Our team is made up of kind, driven individuals who take ownership, move quickly, and collaborate closely. We value humility, curiosity, and a shared commitment to making a difference.
 
 
 We&rsquo;re not just building payments infrastructure &mdash; we&rsquo;re helping feed tens of thousands of families each day, and transforming grocery access for millions more.
 
 Watch our story and see why we do what we do
 
 
 .
 
 
 
 
 What We Are Looking For
 
 
 
 We are hiring a Financial Analyst to support the scaling of Finance as Forage expands across multiple business lines (Core EBT, Consumer, HSA/FSA, WIC) and transitions toward GAAP-compliant reporting. This role will operate at the intersection of accounting and FP&amp;A. The ideal candidate is detail-oriented, analytically strong, and comfortable owning both execution and modeling in a fast-moving environment.
 
 
 This person will work directly with the Director of Finance and will have meaningful exposure to business strategy, pricing, and operating decisions.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in finance, accounting, or FP&amp;A
 </li>
 <li>
 Strong understanding of GAAP fundamentals
 </li>
 <li>
 Experience participating in month-end close (accruals, prepaids, reconciliations)
 </li>
 <li>
 Experience building and maintaining financial models and projections
 </li>
 <li>
 Advanced Excel or Google Sheets skills (comfortable building models from scratch)
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 High attention to detail and ownership mindset
 </li>
 <li>
 Ability to manage multiple workstreams in a fast-paced environment
 
 
 </li>
 </ul>
 
 Preferred But Not Required
 
 
 
 <ul>
 <li>
 Background in Big 4 audit or accounting advisory
 </li>
 <li>
 Experience at a high-growth startup or fintech company
 </li>
 <li>
 Exposure to revenue recognition (ASC 606)
 </li>
 <li>
 Experience building multi-scenario financial models
 </li>
 <li>
 Familiarity with transaction-based or payment processing revenue models
 </li>
 <li>
 Experience with stock-based compensation accounting
 </li>
 <li>
 Experience supporting audits or GAAP transition
 </li>
 <li>
 Familiarity with payment processing or transaction-based revenue models
 </li>
 <li>
 Experience with accounting systems (e.g., QuickBooks or similar ERP tools)
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 
 
 Accounting &amp; Operations
 
 
 
 
 <ul>
 <li>
 Support transition toward GAAP-compliant accounting
 </li>
 <li>
 Assist with month-end, quarter-end, and year-end close processes
 </li>
 <li>
 Prepare accruals, prepaids, and revenue-related schedules
 </li>
 <li>
 Perform balance sheet reconciliations
 </li>
 <li>
 Help improve and scale accounting operations and close discipline
 </li>
 <li>
 Support AR/AP process improvements and documentation
 </li>
 <li>
 Assist with compliance reporting, filings, and internal control development
 
 
 </li>
 </ul>
 
 
 FP&amp;A &amp; Strategic Finance
 
 
 
 
 <ul>
 <li>
 Build and maintain financial models across multiple business units (Core EBT, Consumer App, HSA/FSA, expansions)
 </li>
 <li>
 Support consolidated forecasting and re-forecasting
 </li>
 <li>
 Assist with pricing analysis and unit economics modeling
 </li>
 <li>
 Analyze gross margins and cost drivers across BUs
 </li>
 <li>
 Prepare reporting packages and variance analysis
 </li>
 <li>
 Support new business line launches from a financial modeling perspective
 </li>
 <li>
 Assist with board and investor reporting preparation
 </li>
 <li>
 Contribute to ad hoc analyses tied to growth initiatives and strategic decisions
 
 
 </li>
 </ul>
 
 Our Offer
 
 
 
 <ul>
 <li>
 Your base salary would fall within the bands below. Please keep in mind that the equity portion of your offer is not included in these numbers and represents a significant part of your total compensation.
 </li>
 <ul>
 <li>
 Financial Analyst: $115k-$135k, depending on experience and location.
 </li>
 </ul>
 <li>
 Meaningful work that makes a positive impact on our society.
 </li>
 <li>
 100% of Medical, Dental and Vision coverage for yourself and dependents.
 </li>
 <li>
 Enjoy regular team lunches at our San Francisco office, fostering collaboration and connection over great food.
 </li>
 <li>
 A fun and caring environment that prioritizes transparency, growth, and ownership.
 </li>
 <li>
 A talented, high-achieving, and humble team with diverse backgrounds and viewpoints.
 
 </li>
 </ul>
 Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job-related skills, experience, and relevant education or training.
 
 
 We aim to review every application within 4 business days of submission and provide feedback on each of your interviews within 2 business days of completion. If you don't hear from us, please reach out to your recruiter or careers[at]joinforage[dot]com directly to get an update on your candidacy.
 
 
 
 Integrity &amp; Fairness:
 
 To maintain a fair and equitable hiring process for all candidates, we require that interviews and exercises be completed without the use of AI-powered tools. We assess candidates based on their direct experience, judgment, and communication.
 
 
 
 Please note:
 
 We are not engaging with third-party recruiters or agencies for this role. We kindly ask that you refrain from contacting us regarding recruitment services. Fees will not be paid for unsolicited resumes sent to Forage.
 
 
 
 Please note:
 
 Forage is unable to provide visa sponsorship for this role. Applicants must have work authorization that does not require visa sponsorship now or in the future.
</div>

Financial Analyst

Discord

Discord is used by over 200 million people every month for many different reasons, but there&rsquo;s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.Discord is looking for a seasoned technical leader to join our Data team as a Staff Data Engineer, Analytics. You will drive technical vision and strategy for our analytical data infrastructure, owning the transformation and semantic layer that powers clean, tested, well-documented datasets that the company can trust and self-serve from. The data you build won't just inform internal decisions, it will underpin the metrics we share with investors, partners, and the public, requiring exceptional rigor, auditability, and precision. This role works closely with Data Science, Product, Finance, and Engineering teams. What You'll Be Doing Define technical strategy and architectural direction for analytics data infrastructure, building and maintaining enterprise-scale curated datasets and data models Own metric definitions end to end, from partnering with stakeholders to define what we measure, to designing and implementing data model in production, to surfacing metrics and dimensions in dashboards and reports Design and build sophisticated data models and analytical frameworks using SQL, Python, and modern data stack technologies Develop data quality frameworks, monitoring, anomaly detection, and alerting at massive scale, with governance, lineage tracking, and change management rigor appropriate for externally reported numbers Drive adoption of consistent data modeling patterns, naming conventions, documentation norms, and metric governance standards across the data organization Lead cross-functional technical initiatives across product verticals and mentor engineers to accelerate delivery and harden data systems Navigate ambiguity and make sound technical decisions with incomplete information, balancing short-term delivery with long-term infrastructure investment What you should have 7+ years of experience in **analytics or data engineering** with a strong focus on building curated, consumer-facing datasets 7+ years of experience in **designing, developing, and maintaining robust data models** from structured and unstructured sources Expert-level SQL and strong Python skills, with solid fundamentals in version control and CI/CD Proven experience implementing data quality audits, monitoring systems, and automated remediation for massive datasets Experience building and owning executive-level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar) Strong business acumen and communication skills, comfortable translating ambiguous business questions into concrete metric definitions and explaining complex implementations to audiences from engineering peers to executive leadership Track record of hands-on collaboration with Data Science, Finance, and Product teams Bonus Points: Passion for Discord or online communities Experience building or contributing to a semantic layer or metrics store Experience with modern analytics and data engineering tools and workflows (dbt, BigQuery, or similar) Experience defining and governing metric standards across a data organization Experience with reporting infrastructure subject to external audit or SOX compliance The US base salary range for this full-time position is $248,000 to $279,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.Why Discord?Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord&rsquo;s collection and usage of personal information relating to the application and recruitment process by clickingHERE.

Staff Data Engineer, Analytics

Waymo

<div>
 Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
 
 
 Our Driver may be autonomous, but Waymo's finances are steered by experts like you. The Finance and Accounting group manages all aspects of our finances and serves as trusted advisors for all our strategic and enterprise endeavors. Along with managing compilation of our financial statements, looking after our cash and overseeing compliance, we partner closely with the business in overseeing company wide resource allocation, developing cutting edge compensation initiatives and generating detailed financial analyses to drive the business forward. We also develop advanced capital strategies to support the company's short- and long-term future.
 
 
 In this hybrid role, you will report to the Head of Strategic Finance, Commercial Finance and Corporate FP&amp;A.
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Own Waymo-wide forecast for marketing (growth and brand), communications, and public affairs spend, in partnership with Marketing, Product, Data Science, and Accounting teams, and track variances and drivers of variances in actual spend vs. forecasts
 </li>
 <li>
 Act as a strategic advisor to the Marketing team, providing financial rigor for brand and growth investments and supporting the development of measurement frameworks to assess the ROI of both top-of-funnel and lower funnel investments (i.e. customer acquisition, activation, engagement, and retention)
 </li>
 <li>
 Partner with Marketing and Product teams to identify levers that aggressively drive down CAC while increasing long-term customer LTV
 </li>
 <li>
 Derive insights from complex datasets to influence marketing spend, allocation of spend between marketing initiatives, pricing strategies, and product roadmap prioritization
 </li>
 <li>
 Embed with Marketing and Product Data Science teams to ensure our growth models are rigorous, and partner with other Commercial Finance teammates to integrate customer funnel drivers into consolidated revenue model
 </li>
 <li>
 Prepare and present high-impact executive presentations that translate marketing spend trends and funnel dynamics into clear commercial outcomes for senior leadership
 
 
 </li>
 </ul>
 
 You Have
 
 
 
 <ul>
 <li>
 7-10 years' experience in Marketing Finance, Go-To-Market Finance, Commercial Finance, and/or Strategic Finance
 </li>
 <li>
 Exceptional financial modeling skills with the ability to build complex, driver-based models from scratch and a strong familiarity with financial statements
 </li>
 <li>
 The ability to think multiple steps ahead regarding the commercial implications of marketing and product decisions
 </li>
 <li>
 Excellent written and verbal communication skills with a proven track record of influencing controversial decision-making through objective analysis
 </li>
 <li>
 Ability to prioritize assignments, navigate ambiguity, and meet deadlines in a fast-paced, growth-oriented environment
 </li>
 <li>
 BS/BA/MBA in Finance, Economics or a related quantitative field
 
 
 </li>
 </ul>
 
 We Prefer
 
 
 
 <ul>
 <li>
 Deep knowledge of the rideshare, transportation, or autonomous vehicle industries
 </li>
 <li>
 Experience within high-growth consumer tech companies focusing on user acquisition and retention
 </li>
 <li>
 Experience working with forecasting tools (e.g. Anaplan) and systematizing budgeting, forecasting, and variance analysis
 </li>
 <li>
 Familiarity with SQL or working closely with Data Science teams to extract and manipulate large datasets
 
 
 </li>
 </ul>
 The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
 
 
 Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
 
 
 Salary Range
 
 
 $168,000&mdash;$207,000 USD
</div>

Senior Analyst - Marketing Finance

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:
 
 San Francisco, CA, USA; Reston, VA, USA
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
 </li>
 <li>
 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 3 years of experience developing and deploying machine learning and AI models in production settings.
 </li>
 <li>
 Experience at the intersection of security or fraud and ML.
 </li>
 <li>
 Experience applying a variety of unsupervised, semi-supervised, and supervised machine learning techniques, and the ability to turn big data into actionable intelligence.
 </li>
 <li>
 Experience building LLM-powered applications to automate the analysis and contextualization of complex data.
 </li>
 <li>
 Experience with the challenges in applying machine learning in a non-stationary and adversarial environment.
 </li>
 <li>
 Ability to evaluate, analyze, and improve machine learning models and LLM-driven systems.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 The Google Cloud Gusto AI Data Science Research team develops innovative, data-driven solutions to today&rsquo;s most challenging cybersecurity problems. By leveraging data derived from Google's unparalleled view of the threat landscape, our cross-functional, applied research team experiments and delivers impactful findings for both our customers and the broader cybersecurity industry.
 
 
 We are looking for a Research Data Scientist to help us solve challenging cybersecurity problems and protect billions of customers by applying their expert knowledge of machine learning, statistics, and Generative AI. In this role, you will partner with subject matter experts on the front lines defending against advanced threat actors, iteratively develop new capabilities, and work closely with our engineering team to deploy and maintain them. Our team works on a wide variety of cybersecurity challenges including agentic security operations, threat intelligence contextualization, security-tuning LLMs, dark web threat detection, and more. We encourage sharing impactful learnings through publications at academic conferences and talks at industry venues.
 
 
 The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 
 
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Explore promising areas of future research at the intersection of cybersecurity and machine learning.
 </li>
 <li>
 Drive the research and development of new models and analytic products to solve cybersecurity problems.
 </li>
 <li>
 Develop models and analytics. Move from proof of concept to minimum viable product quickly and efficiently.
 </li>
 <li>
 Work closely with other engineering teams to develop scalable data pipelines, deploy models/analytics, and enact telemetry-driven model improvements over time.
 </li>
 <li>
 Communicate research results to stakeholders and the research community through documentation, white papers, peer-reviewed publications, and presentations.
 
 
 
 </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>

Research Data Scientist, Cybersecurity, Google Cloud

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