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anthropic
Страна
США
Зарплата
190 000 $ – 270 000 $
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Incentive Compensation System Engineer

Оценка ИИ

Высокая заработная плата, работа в ведущей ИИ-компании мира и возможность влиять на критически важные бизнес-процессы делают эту вакансию крайне привлекательной.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний специализированных ICM-платформ и навыков системной интеграции, а также умения работать на стыке финансов и инженерии данных.

Анализ зарплаты

Медиана215 000 $
Рынок175 000 $ – 260 000 $
Оценка ИИ

Предлагаемый диапазон $190k–$270k находится на верхнем уровне рыночных значений для специалистов по ICM-системам в Сан-Франциско и Нью-Йорке, что характерно для топовых технологических компаний.

Сопроводительное письмо

I am writing to express my strong interest in the Incentive Compensation Systems Engineer position at Anthropic. With over five years of experience in implementing and optimizing ICM platforms like Xactly and Anaplan, I have developed a deep expertise in translating complex compensation designs into scalable, auditable system logic. My background in managing data pipelines and building robust integrations between CRM and ERP systems aligns perfectly with your need for a technical lead to build the foundation of your incentive programs.

What excites me most about this role is the opportunity to apply my technical skills within a mission-driven organization like Anthropic. I am particularly interested in your mention of leveraging Claude-powered solutions to enhance system capabilities, as I am a strong advocate for using AI to streamline operational workflows. I am confident that my systematic approach to problem-solving and my ability to bridge the gap between technical requirements and business objectives will make me a valuable asset to your Revenue Operations and Finance teams.

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Откликнитесь в anthropic уже сейчас

Присоединяйтесь к Anthropic и создавайте будущее безопасного ИИ, оптимизируя системы мотивации в одной из самых инновационных компаний мира!

Описание вакансии

About Anthropic

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

As an Incentive Compensation Systems Engineer, you will lead the technical implementation, configuration, and optimization of our incentive compensation management (ICM) platform. You will work closely with Revenue Operations, Data Engineering, Finance, Accounting, and HR to translate incentive compensation designs into scalable system configurations, ensuring accurate calculations, reliable integrations, and efficient workflows. This role is critical to building the technical foundation that enables our incentive compensation programs to operate effectively at scale.

Responsibilities:

ICM Platform Implementation & Configuration

  • Lead the end-to-end implementation and configuration of our ICM platform, including plan modeling, crediting rules, quota management, and payout calculations
  • Translate compensation plan documents into system logic, ensuring accurate and auditable calculation outputs
  • Design and maintain system workflows for plan changes, exceptions, and adjustments
  • Develop and execute testing strategies to validate system accuracy before each compensation cycle
  • Provide technical guidance during plan design discussions, advising on system capabilities and constraints

Data Integration & Architecture

  • Build and maintain integrations between the ICM platform and source systems (CRM, ERP, HRIS, billing platforms)
  • Ensure data integrity across the compensation data pipeline, from opportunity data through final payout
  • Partner with Data Engineering and Revenue Operations to define data requirements and resolve data quality issues
  • Document data flows, transformation logic, and system dependencies

System Administration & Optimization

  • Serve as the primary system administrator for the ICM platform, managing user access, security, and system health
  • Identify opportunities to streamline and automate compensation processes, reducing manual intervention and cycle time
  • Monitor system performance and troubleshoot calculation errors or integration failures
  • Evaluate and recommend new technologies, including Claude-powered solutions, to enhance system capabilities

Reporting & Analytics

  • Build and maintain reporting infrastructure within the ICM platform to support compensation dashboards and attainment tracking
  • Partner with Revenue Operations and Accounting to deliver accurate, timely compensation data for forecasting and accruals
  • Enable self-service reporting for compensation administrators and business partners

You may be a good fit if you have:

  • A passion for Anthropic's mission to build safe, transformative AI systems
  • 5+ years of experience implementing or administering ICM platforms (e.g., Xactly, Varicent, Anaplan)
  • Strong technical skills with experience in SQL, data integration tools, and system configuration
  • Proven ability to translate business requirements into system logic and maintain accurate, auditable calculations
  • Experience managing data pipelines and ensuring data quality across integrated systems
  • Strong problem solving skills with a systematic approach to debugging and root cause analysis
  • Excellent documentation practices and ability to communicate technical concepts to non-technical stakeholders
  • Bachelor's degree in a technical or quantitative field preferred

Strong candidates may also have:

  • Experience with full ICM platform implementation projects, including vendor selection and data migration
  • Proficiency with APIs and integration platforms (e.g., Workato, Fivetran, custom ETL)
  • Experience with Salesforce administration or development
  • Familiarity with consumption-based compensation models
  • Experience with Claude Code or other AI-assisted development tools
  • Background in sales operations, revenue operations, or finance systems

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$190,000—$270,000 USD

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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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 skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Навыки

  • CRM
  • ERP
  • Salesforce
  • SQL
  • ETL
  • Data Integration
  • APIs
  • Fivetran
  • Anaplan
  • Workato
  • Xactly
  • Varicent

Возможные вопросы на собеседовании

Проверка технического опыта работы с профильным ПО.

Опишите ваш опыт внедрения ICM-платформ (например, Xactly или Anaplan): с какими самыми сложными правилами начисления вознаграждений вы сталкивались?

Оценка навыков интеграции данных.

Как вы обеспечиваете целостность данных при передаче информации из CRM (Salesforce) в систему расчета компенсаций?

Проверка аналитических способностей и работы с ошибками.

Расскажите о случае, когда вы обнаружили критическую ошибку в расчетах после запуска цикла выплат. Как вы ее локализовали и исправили?

Оценка соответствия культуре Anthropic и интереса к ИИ.

Как, по вашему мнению, большие языковые модели (LLM) могут оптимизировать процессы администрирования компенсаций в будущем?

Проверка навыков взаимодействия с бизнес-заказчиками.

Как вы объясняете технические ограничения системы руководителям отделов продаж при разработке новых планов мотивации?

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anthropic
Страна
США
Зарплата
190 000 $ – 270 000 $