- Страна
- США
- Зарплата
- 106 000 $ – 125 000 $
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Jr. Go-To-Market Engineer
Высокий балл обусловлен отличным финансированием компании (Andreessen Horowitz), прозрачной и конкурентной зарплатой, а также работой с передовым стеком технологий (AI, Clay, Pocus). Позиция предлагает уникальный опыт на стыке инженерии и бизнес-стратегии.
Сложность вакансии
Роль требует уверенного владения Salesforce и инструментами автоматизации (Clay, Zapier), а также аналитического склада ума для работы с данными. Хотя это позиция уровня Junior, ожидается наличие 1-3 лет опыта и готовность быстро осваивать скриптовые языки.
Анализ зарплаты
Предлагаемая зарплата ($106k - $125k) находится на верхнем уровне рыночного диапазона для Junior-позиций в сфере RevOps/GTM в Сан-Франциско и Нью-Йорке, что делает предложение крайне привлекательным.
Сопроводительное письмо
I am writing to express my strong interest in the Junior Go-To-Market Engineer position at Pave. With a background in revenue operations and a deep fascination with the intersection of data automation and sales strategy, I am eager to contribute to a team that is redefining how companies manage compensation through AI and real-time data.
In my previous experience, I have developed a solid foundation in Salesforce administration and workflow automation, which aligns perfectly with your need for maintaining system integrity and building automated GTM stacks. I am particularly impressed by Pave's use of modern tools like Clay and Pocus to drive pipeline generation, and I am excited by the prospect of applying my analytical mindset to optimize these workflows and ensure high-quality, AI-ready datasets.
Pave’s mission to build confidence in every compensation decision resonates with me, and I am motivated by the opportunity to work in a high-growth environment alongside industry leaders. I am confident that my technical skills and proactive approach to problem-solving will allow me to make an immediate impact on your RevOps team.
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Описание вакансии
Who We Are
At Pave, we're building the industry’s leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.
Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 70% of Forbes AI 50 use Pave to benchmark compensation.
The future of pay is real-time & predictive, and we’re making it happen right now. We’ve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.
The RevOps team @ Pave
Pave's Revenue Operations team sits at the intersection of data, automation, and go-to-market strategy. We're looking for a Junior Go-To-Market Engineer to help build the technical foundation that powers our sales motion. You'll work directly with our GTM Engineer to ensure pristine data quality across our systems, eliminate manual work through automation, and experiment with new ways to generate pipeline. As we scale, you'll help orchestrate our end-to-end pipeline generation engine and prepare our systems for AI-driven GTM workflows. This role offers unique exposure to the full revenue stack and the opportunity to see your technical work directly impact company growth.
What You'll Do
Data Operations & System Integrity (30%)
- Maintain and improve data quality across Salesforce, ensuring accurate lead routing, opportunity tracking, and account hierarchies
- Build and monitor data validation rules, duplicate management processes, and enrichment workflows
- Establish data hygiene standards that enable AI-ready datasets for predictive modeling and automation
- Identify and resolve data inconsistencies that impact reporting, forecasting, or sales efficiency
- Create and maintain documentation for data standards and processes
Revenue Systems Automation (30%)
- Design and implement automated workflows across our GTM stack (Salesforce, Clay, Pocus, Gong, Outreach, and others)
- Build integrations between systems to eliminate manual data entry and ensure seamless data flow
- Develop custom solutions using Salesforce Flow, Apex, APIs, and third-party automation tools
- Monitor system performance and troubleshoot integration issues
Pipeline Strategy & Experimentation (40%)
- Orchestrate automated pipeline generation plays across multiple channels (signal-based outreach, inbound routing, account prioritization)
- Test and iterate on GTM motions, collaborating with Sales and Marketing to surface actionable insights
- Build data infrastructure that enables AI-powered workflows and predictive pipeline generation
- Analyze the performance of various experiments and recommend optimizations
- Build dashboards and reporting to track experiment outcomes and pipeline health
What You'll Bring
Required Qualifications
- 1-3 years of experience in revenue operations, sales operations, marketing operations, or a similar technical GTM role
- Strong working knowledge of Salesforce (administration, flows, validation rules, custom objects)
- Experience with modern GTM tools like Clay, Pocus, Gong, Outreach, or Zapier
- Strong analytical mindset with attention to detail—you notice when data doesn't look right
Bonus Points
- Familiarity with business intelligence tools like Looker, Hex, or similar analytics platforms
- Proficiency in at least one scripting language (Python, JavaScript, or similar) or willingness to learn quickly
- SQL skills for querying and analyzing data
- Knowledge of APIs and webhooks for building custom integrations
- Salesforce certifications (Administrator, Advanced Administrator, or Platform App Builder)
- Background in a technical sales or customer success role
- Interest in compensation, people analytics, or HR tech
Compensation, It's What We Do.
At Pave, we believe compensation should be as thoughtful as the people we hire. Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life — not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask.
Targeted cash compensation for this role: $106,000 - $125,000
Benefits @ Pave
At Pave, growth isn't a perk — it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.
What we offer:
- Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are.
- Time That's Actually Yours: Flexible PTO and the freedom to work from anywhere in the world for up to a month — because life doesn't pause, and neither should you.
- Fuel for the Work: Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it.
- Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
- Support When It Matters Most: Robust parental leave so you can be fully present for the moments that count.
- Getting Here, Made Easier: A commuter stipend to support the in-person collaboration that makes great work happen.
Life @ Pave
Founded in 2019 with a clear purpose and a team that has never wavered from it, Pave has grown into a global force in compensation management — giving thousands of companies the tools to take control, build confidence, and earn credibility in every pay decision they make. And we're just getting started. Headquartered in San Francisco's Financial District, with regional hubs in New York City's Flatiron District, Salt Lake City, Kraków (Poland), and the United Kingdom — wherever you're based, you'll find the same thing: people who genuinely care about the work, each other, and the customers that rely on Pave.
We run a hybrid culture that brings teams together in person on Monday, Tuesday, Thursday, and Friday — and every Friday, the whole company gathers for our Team Sync: breakfast, new hire welcomes, product updates, fireside chats, and yes, the occasional Kahoot. It's one of the things people notice when they join us — that we truly enjoy spending time together.
Our culture is shaped by five values we live every day:
- Be Intellectually Honest — Truth over comfort. We face reality clearly and speak directly, even when it's hard.
- Play to Win — We're not here to participate. We're here to be the #1 compensation platform in the world, and we act like it.
- Uphold the Pave Platinum Standard — We hold ourselves to the highest bar — for our customers, our data, and each other.
- One Team — We win and lose together. Titles don't drive decisions here — shared goals do.
- Hug of Jawn — Hard to define, impossible to miss. Ask your recruiter.
Our Vision: Unlock a labor market built on trust.
Our Mission: Build confidence in every compensation decision.
We build software that transforms how companies pay their people — and we believe the team behind that software deserves the same thoughtfulness. If you're ready to help shape the future of compensation alongside people who are smart, humble, and genuinely motivated by the problem we're solving, we'd love to meet you.
Still deliberating? Just apply! We're always excited to meet people who are eager to contribute.
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Навыки
- Salesforce
- Salesforce Flow
- Apex
- Clay
- Pocus
- Gong
- Outreach
- Zapier
- SQL
- Python
- JavaScript
- APIs
- Webhooks
- Looker
- Hex
Возможные вопросы на собеседовании
Проверка практических навыков работы с основным инструментом CRM.
Можете ли вы описать сложный поток (Flow) в Salesforce, который вы создали? Какую бизнес-задачу он решал?
Оценка опыта работы с современным стеком инструментов для поиска и обогащения лидов.
Как бы вы использовали Clay или аналогичные инструменты для автоматизации процесса генерации пайплайна на основе сигналов?
Проверка внимания к деталям и понимания важности чистоты данных для AI.
Как вы подходите к выявлению и устранению дубликатов или неконсистентных данных в крупной базе Salesforce?
Оценка технического потенциала и готовности к работе с кодом.
Был ли у вас опыт написания скриптов на Python или JavaScript для интеграции систем через API? Если нет, как бы вы подошли к изучению этой задачи?
Проверка умения работать в связке с отделами продаж и маркетинга.
Как вы расставляете приоритеты в задачах, когда запросы на автоматизацию поступают одновременно от команд продаж и маркетинга?
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- Страна
- США
- Зарплата
- 106 000 $ – 125 000 $