As a Senior Data Scientist, you'll partner with product teams to help them identify important questions and answer those questions with data. You'll work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities.

You'll design, build, and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You'll also partner closely with product researchers to build a holistic understanding of our customers, products, and business.

Increasingly, you'll use AI-assisted tools to accelerate analysis, coding, and insight generation. You'll identify opportunities to automate your own workflows and reduce time spent on repetitive tasks. You'll build scalable data products that enable stakeholders to self-serve insights and raise the bar for how AI is used within RAD.

Key responsibilities include:

• Partnering with product teams to help them identify important questions and answer those questions with data
• Working closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities
• Designing, building, and updating end-to-end data pipelines
• Partnering closely with product researchers to build a holistic understanding of our customers, products, and business
• Using AI-assisted tools to accelerate analysis, coding, and insight generation
• Identifying opportunities to automate your own workflows and reduce time spent on repetitive tasks
• Building scalable data products that enable stakeholders to self-serve insights

Requirements include:

• 5+ years of experience working with data to solve problems and drive evidence-based decisions
• Strong SQL skills and solid grounding in statistics
• Experience working closely with product teams
• Proven track record of delivering actionable insights that drive measurable impact with minimal supervision
• Strong product intuition, business acumen, and ability to connect analysis to strategy
• Excellent communication skills (technical and non-technical), with a focus on driving decisions and outcomes
• Strong ownership, curiosity, and growth mindset
• Experience with a scientific computing language (e.g., Python)

Preferred skills include:

• Experience with data modeling and ETL pipelines (esp. dbt)
• Experience building internal tools, data products, or self-serve analytics capabilities
• Experience leveraging AI across the data workflow - from ideation and coding to analysis and communication

Benefits include:

• Competitive salary and equity in a fast-growing start-up
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

Experience Level: Senior Employment Type: Full-time Workplace Type: Hybrid Category: Engineering Industry: Technology Salary Range: Competitive salary and equity in a fast-growing start-up Required Skills: SQL, statistics, experience working with product teams, strong product intuition, business acumen, excellent communication skills, strong ownership, curiosity, and growth mindset, experience with a scientific computing language (e.g., Python) Preferred Skills: data modeling and ETL pipelines (esp. dbt), building internal tools, data products, or self-serve analytics capabilities, leveraging AI across the data workflow

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At Cloudflare, we are on a mission to help build a better Internet. As a Revenue Operations Systems & Tools Intern, you will support the optimization and management of the systems that power Cloudflare's go-to-market operations.

About the Department

The Revenue Operations team at Cloudflare is the engine that drives go-to-market efficiency and effectiveness across the company. We are a dynamic and results-oriented group responsible for providing strategic insights, optimizing sales and service processes, and ensuring data integrity to fuel Cloudflare's growth.

About the Role

The Revenue Operations Systems & Tools Intern will assist with system configuration, data validation, and improvements that help teams effectively use tools such as CRM platforms and internal operational systems.

Responsibilities

• Assist in maintaining and improving revenue systems and operational tools
• Support data quality initiatives across GTM platforms
• Help document system workflows and best practices
• Participate in troubleshooting operational issues and supporting system improvements
• Work with stakeholders to identify opportunities to streamline operational workflows

Skills & Qualifications

• Pursuing a degree in Information Systems, Business Analytics, Computer Science, or related field
• Interest in CRM systems, business operations tools, and data workflows
• Strong attention to detail and analytical skills
• Basic understanding of data structures or operational systems is a plus

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

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Key responsibilities include:

• Owning implementation of design system components and page templates across our web properties,
• Working within our headless CMS architecture to maintain and improve content modeling, structured data workflows, and the publishing experience,
• Collaborating closely with designers to bridge the gap between static design and living, interactive web experiences,
• Contributing to internal tools that help teams author, manage, and publish content at scale,
• Participating in migrations and site architecture projects,
• Moving quickly from concept to working prototype, iterating in close collaboration with the team.

To be successful in this role, you'll need:

• Solid experience with modern frontend frameworks, particularly Next.js or similar React-based tooling,
• Understanding of CSS at a level that lets you implement complex layouts, animations, and interactive experiences with precision,
• Hands-on experience with headless CMS platforms and content modeling, structured data workflows, and the operational side of keeping a large site running,
• Ability to prototype quickly and iterate confidently, moving from rough idea to working proof-of-concept without getting stuck,
• Strong communication skills to work effectively with both designers and engineers.

If you're interested in this opportunity, please apply with your resume and a brief cover letter explaining why you'd be a great fit for this role.

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This is not a status-meeting role. This is a technical, hands-on TPM who understands systems well enough to unblock work directly , whether that's in Linear, Salesforce, data workflows, or coordination across Product, Engineering, Data, and Revenue.

In this role, you will report to the Head of Platforms & Infrastructure and play a critical role in protecting execution focus so specialized technical roles can operate at full effectiveness.

Some things you'll do on the job:

• Own delivery sequencing and execution momentum across Revenue Technology initiatives
• Translate ambiguous goals into clear scopes, milestones, and dependency maps
• Actively manage work in Linear and related tools, ensuring priorities are visible and intentional
• Identify when work is blocked, drifting, over-scoped, or colliding , and intervene early
• Partner closely with Solution Architecture, Data Strategy, Engineering, and Systems & Workflow Experience
• Perform light hands-on technical work (configuration, stopgaps, tooling hygiene) to unblock progress
• Absorb coordination load across Product, Engineering, Data Engineering, Data Science, Revenue, and vendors
• Drive planning cycles anchored to Cosmic Objectives, not ad-hoc urgency
• Make tradeoffs explicit and documented so teams can move without re-litigating decisions

You should have:

• 5+ years experience as a Technical Program Manager, Technical PM, or equivalent role in a SaaS or fintech environment
• Demonstrated ability to drive delivery across multi-team, cross-functional initiatives (Product, Engineering, Data, Revenue, vendors)
• Strong technical fluency , able to reason about systems, data flows, integrations, and platform constraints
• Hands-on experience managing work in tools like Linear, Jira, or similar, with a bias toward clarity and momentum
• Proven ability to surface dependencies, sequence work, and intervene when execution is blocked or drifting
• Excellent written and verbal communication skills, especially in ambiguous environments
• Comfort performing light hands-on technical work (tool configuration, workflow setup, stopgap solutions)

Preferred Qualifications:

• Experience supporting GTM, revenue, or customer lifecycle platforms
• Familiarity with Salesforce, data platforms, or revenue tooling ecosystems
• Experience operating within Agile / Kanban systems , with judgment about when to adapt them
• Background working closely with architecture or platform engineering teams

The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $131,000 - 148,000
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $118,000 - $133,200
• Canadian employees (any location): CAD $124,300 - $139,900

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

Anthropic's Human Data Interfaces team builds the systems that collect data to improve our models. This includes novel interfaces for data vendors, tooling, and front-end and back-end infrastructure that enables researchers to gather high-quality data at scale. As a Software Engineer, you'll own the architecture and execution of our data collection pipelines — designing systems that are both performant at scale and resilient to the rapidly changing needs of our research teams. You'll work closely with researchers, our cross-functional data operations partners, and the crowdworkers and vendors who use these tools day-to-day.

Responsibilities:

• Architect and build data collection pipelines that support rapid iteration, balancing data quality and system maintainability

• Think deeply about the experience of the crowdworkers and vendors using these systems, building interfaces that are clear, efficient, and lead to high-quality data

• Collaborate closely with research teams to understand evolving data needs and iterate quickly on collection methods

• Partner with our Human Data Operations team to understand the end-to-end data workflow and design interfaces that make their jobs easier

• Prioritize and juggle multiple workstreams, making trade-off decisions in a fast-moving environment where research priorities can shift quickly

You May Be a Good Fit If You:

• Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well

• Are a strong full-stack engineer with broad experience across the stack

• Are very good at building internal tools, including working with users of the tools to understand their needs

• Thrive in fast-moving environments where you need to balance speed of iteration with long-term system health

• Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective

Strong Candidates May Also Have:

• Experience building human data labelling interfaces, human-in-the-loop systems, or data collection pipelines

• Familiarity with how preference data and reward models are used in AI model training

• Experience working with researchers who are internal users/customers

• Background in building, and improving the user-experience of user-facing applications, particularly those involving complex UI interactions or annotation workflows

• Strong instincts around system design — building things that evolve gracefully as requirements change

• Experience influencing technical and product direction on a team

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication and collaboration.

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The Creative Studio is Anthropic's in-house creative team responsible for the brand expression across Anthropic and Claude. We care about craft, making things by hand and using AI when it makes sense. The team is growing, and we’re looking for people who do excellent work to join us. The stakes are real, and there’s room to shape what all this becomes.

We're looking for a Design Engineer to join our Brand Web team, working at the intersection of design and development to build and maintain Anthropic's web properties. In this role, you'll contribute to shipping high-quality web experiences across anthropic.com and claude.com — from interactive marketing pages and data visualizations to internal tooling that keeps our content operations running smoothly. You'll work closely with designers, engineers, and brand and content teams to translate design intent into polished, production-ready code. Rapid prototyping is a core part of how we work here, and you'll be expected to move fast.

Responsibilities

• Own implementation of design system components and page templates across our web properties, with a focus on experiences that go beyond static content — interactive pages, data visualizations, and tools that communicate complex information clearly
• Work within our headless CMS architecture, helping maintain and improve content modeling, structured data workflows, and the publishing experience
• Collaborate closely with designers to bridge the gap between static design and living, interactive web experiences
• Contribute to internal tools that help teams author, manage, and publish content at scale
• Participate in migrations and site architecture projects, taking on defined scopes within larger efforts led by senior team members
• Move quickly from concept to working prototype, iterating in close collaboration with the team
• Support tooling and workflow improvements that help the broader team ship faster, and contribute to documentation and knowledge sharing

You may be a good fit if you:

• Have solid experience with modern frontend frameworks, particularly Next.js or similar React-based tooling, and are comfortable working within a design system
• Understand CSS at a level that lets you implement complex layouts, animations, and interactive experiences with precision
• Have hands-on experience with headless CMS platforms and can navigate content modeling, structured data workflows, and the operational side of keeping a large site running
• Have built internal tools or contributed to workflows that improve how teams work day-to-day, and enjoy that kind of problem-solving
• Can prototype quickly and iterate confidently, moving from rough idea to working proof-of-concept without getting stuck
• Communicate clearly with both designers and engineers, and care about shipping work that's both technically sound and visually refined
• Have a track record of contributing to production web properties at a mid-level scope, and are motivated to grow into owning larger, more complex projects

Strong candidates may also have:

• Experience with AI-assisted development workflows
• Interest in generative or programmatic design
• Familiarity with localization or internationalization systems

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on building AI systems that are beneficial for users and society as a whole.

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About the Team

OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. A key part of achieving that mission is training models that deeply understand and reflect human preferences — the Human Data team is at the heart of that effort.

The Human Data engineering team creates the systems that enable scalable, high-quality human feedback. These systems are essential to how OpenAI trains and improves its most advanced models. Engineers on this team collaborate closely with world-class researchers to bring alignment techniques to life — from experimental ideas to production-ready feedback loops.

About the Role

We’re looking for software engineers to join the Human Data team and build the platforms, prototypes, tools, and infrastructure that power how our AI models are trained, aligned, and evaluated. You’ll partner with researchers and cross-functional teams to bring alignment ideas to life, influence future model training, and shape how models interact with the real world.

We’re looking for people who are excited by technical ownership, enjoy working across the stack, and are eager to solve ambiguous problems in a high-impact, fast-paced environment.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security.

• Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks.

• Design and iterate on user-facing tools and backend services to support high-quality data workflows

• Partner with researchers, engineers, and program leads to shape feedback loops and model interaction paradigms

• Drive infrastructure improvements that enable faster iteration and scaling across OpenAI’s frontier models, from internal research tooling all the way to production ChatGPT.

You might thrive in this role if you:

• Have strong software engineering fundamentals and experience building production systems at scale

• Enjoy full-stack development with end-to-end ownership — from backend pipelines to user interfaces

• Are motivated by high-impact collaboration with research teams and solving novel, ambiguous problems

• Are excited to shape how AI systems learn from human preferences and reflect a broad range of human values

• Care deeply about inclusive tooling and building systems that enhance model safety, reliability, and usefulness

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.

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About the role

As Sales Manager, Life Sciences, you will build and lead a team of Account Directors focused on landing and growing our largest Life Sciences customers — global pharmaceutical and biotechnology companies, medical device and diagnostics firms, contract research organizations (CROs), and large research institutions.

In this role, you will

• Recruit, develop, and lead a team of Enterprise Account Directors focused on new business and strategic expansion in Life Sciences.

• Create a strong coaching culture with frequent deal reviews, ride-alongs, and structured 1:1s that elevate performance.

• Define and refine the GTM strategy for Life Sciences accounts, aligned to our evolving territory and account coverage model.

• Drive territory design, account prioritization, and coverage approaches that balance new customer acquisition with strategic expansion.

• Establish clear operating rhythms for pipeline and forecast management, with explicit expectations on activity, coverage, and deal quality.

• Hold the team accountable for building and closing high-quality, multi-stakeholder, multi-product opportunities that materially impact revenue.

• Guide reps through complex, technical, and often unstructured opportunities in regulated environments.

• Help translate AI and API capabilities into business value for Life Sciences executives, partnering through regulatory, compliance, and data considerations (e.g., clinical data workflows, GxP/FDA/EMA contexts).

• Partner with Marketing to shape the Life Sciences story, campaigns, and events that generate qualified pipeline — and provide clear, data-driven feedback on what is and isn’t working.

• Provide structured, prioritized feedback to Product on customer use cases, feature gaps, and deal blockers to inform roadmap, packaging, and pricing decisions.

• Partner with Finance on deal structures, commercial terms, and approvals that balance customer needs with OpenAI’s revenue, margin, and risk objectives.

• Work closely with Technical Success and post-sales teams to co-design solutions, align on implementation expectations, and ensure smooth handoffs that set customers up for long-term success.

What we’re looking for

• 15+ years of experience in enterprise sales, success, or GTM leadership, with significant time leading at scale.

• Proven track record of driving revenue growth in enterprise segments ($100M+ businesses).

• Experience leading verticalized sales motions and building go-to-market plays from scratch.

• Strong operational orientation: comfortable with capacity planning, pipeline rigor, forecasting, and data-driven execution.

• Low-ego, culture-first leader who builds trust across teams and inspires followership.

• Comfortable with ambiguity and rapid change; thrives in a dynamic, startup-like environment inside a global company.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

Salary

• $350K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws.

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About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.

About the Role

We are seeking a senior Global Security Investigator with a technical background to lead complex, long-running security investigations involving a full spectrum of threats – whether originating from internal employees, external threat actors, or supply chain partners. This role is about seeing the full chessboard and independently driving complex, multi-month cases across cyber, physical, and human domains.

In this role you will:

• Independently conduct comprehensive security investigations from initial detection to resolution, including cases involving insiders, external actors, and supply chain and third-party risks.

• Lead proactive, data-driven threat-hunting efforts that weave together disparate signals to surface undetected insider or external threats before they escalate into incidents.

• Perform comprehensive technical analysis of complex hardware, software, and supplier supply chains to identify, enumerate, and mitigate risks.

• Partner closely with cross-functional teams, including Human Resources, Legal, Security, and IT, and external stakeholders or law enforcement when necessary.

• Collaborate with technical counterparts to enhance detections, resolve telemetry gaps, and implement new capabilities to identify security issues involving cyber, physical, and human domains.

• Collect, preserve, and analyze evidence from a variety of sources, including log data, digital forensics, subject interviews, access records, threat intelligence, and open-source intelligence (OSINT), to support investigative findings.

• Continuously improve investigative procedures and security controls based on investigations and lessons learned.

You might thrive in this role if you have:

• Bachelor’s degree in Criminal Justice, Cybersecurity, or a related field (or equivalent experience) and 8+ years of investigative experience in counterintelligence, insider risk, forensic investigations, cybersecurity, supply chain security, or related domains.

• Unimpeachable integrity, sound judgment, and the ability to handle confidential matters with discretion.

• An active US security clearance, or willingness and eligibility to obtain one.

• Deep specialization in geopolitical threat domains, with hands-on experience identifying, assessing, and mitigating adversarial risks through tailored countermeasures.

• Expert knowledge of common security tooling, including EDR, DLP, UEBA, SIEM, SOAR and other related platforms.

• Demonstrated ability to independently write complex queries, automate data workflows, and analyze structured datasets.

• Excellent written and verbal communication skills, including the ability to distill complex findings into clear, actionable reports and explain technical issues to non-technical stakeholders.

• Exceptional collaboration skills with the ability to work across diverse teams (HR, Legal, IT, etc.) to lead projects and investigations with minimal guidance.

Compensation

• San Francisco, Seattle or New York: $288K – $500K • Offers Equity

• Zone B: $230.4K – $500K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus for eligible employees and benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick and safe time (1 hour per 30 hours worked)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

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