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Senior Software Engineer
Высокий балл за счет работы в топовом финтех-стартапе с отличным финансированием и известными клиентами. Предлагается уникальная возможность стать одним из первых инженеров в локальном офисе с сильным пакетом льгот и гибким графиком.
Сложность вакансии
Роль требует высокого уровня ответственности (founding engineer) и глубоких знаний в области интеграций с корпоративными системами (Workday, ADP). Сложность обусловлена необходимостью работы с плохо документированными API и высокими требованиями к надежности данных.
Анализ зарплаты
Предлагаемая позиция Senior уровня в Кракове обычно предполагает конкурентную оплату. Учитывая статус компании (единорог с инвестициями от a16z), можно ожидать зарплату по верхней границе рынка для Польши, дополненную значительным пакетом акций (equity).
Сопроводительное письмо
I am writing to express my strong interest in the Senior Software Engineer position within the Data Platform team at Pave. With over 5 years of experience in building production-grade software and a deep focus on API integrations and data pipelines, I am excited by the opportunity to join as a founding engineer in your Krakow hub. My background in navigating complex third-party API ecosystems and building scalable B2B enterprise solutions aligns perfectly with Pave's mission to revolutionize compensation through real-time data.
In my previous roles, I have successfully designed and maintained high-throughput data connectors and observability tooling, ensuring data integrity for enterprise-level clients. I am particularly drawn to Pave's 'One Team' culture and the technical challenge of integrating with systems like Workday and ADP to power the world's largest real-time compensation dataset. I am eager to bring my expertise in TypeScript, Node.js, and GCP to help Pave maintain its Platinum Standard and continue its rapid global expansion.
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Присоединяйтесь к команде Pave в Кракове и станьте создателем платформы, которой доверяют OpenAI и Stripe!
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 Data Platform Team @ Pave
The Data Platform team owns the data infrastructure that makes Pave work — connecting Pave's platform to the HRIS, EMS, ATS, and partner systems that power our customers' compensation workflows. Without reliable, high-quality integrations, none of Pave's products can deliver their full value. This is a high-leverage role at the core of Pave's platform strategy. This is also a rare opportunity to join as a founding engineer on the team - meaning you won't just be executing on a defined roadmap, but actively shaping how the platform evolves, what gets prioritized, and what engineering culture looks like from day one. As a Senior Software Engineer on the Data Platform team, you will design and build the connectors, pipelines, and platform capabilities that enable Pave to serve enterprise customers at scale. You'll have significant influence over the architecture and reliability of a system that touches every Pave customer.
What You'll Do
- Design and build new HRIS, EMS, ATS, and partner integrations, with a focus on enterprise-grade systems like Workday, BambooHR, and ADP
- Own integrations end-to-end — from connector design and data mapping through testing, rollout, and ongoing reliability
- Build and improve observability tooling — monitoring, alerting, and debugging infrastructure that gives the team and customers confidence in pipeline health
- Partner closely with product and go-to-market to prioritize connector coverage and unblock key deals
- Identify and address systemic reliability and scalability issues in Pave’s data platform
What You'll Bring
- 5+ years of experience building and shipping production-grade software, with meaningful exposure to integrations, data pipelines, or API platforms
- Strong understanding of integration patterns, API design, and the operational challenges of third-party data dependencies
- Experience working on enterprise B2B products and an understanding of the reliability and data quality standards they require
- Ability to lead technical projects with ambiguity — third-party APIs are rarely well-documented and requirements shift
- Execution oriented — eager to not only design solutions but dive into implementation and see them through to a reliable, monitored production state
- Experience with our tech stack: TypeScript, Node.js, React, GCP
Compensation, It's What We Do.
At Pave, we believe compensation should be as thoughtful as the people we hire. This role is structured as a B2B contract engagement — and your total rewards package includes meaningful equity, flexible 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.
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:
- Private Health Coverage: Comprehensive private healthcare to keep you and your wellbeing a priority — because great work starts with taking care of yourself.
- Sports & Wellness: A monthly wellness stipend to fuel your active lifestyle — whether that's a MultiSport membership or whatever keeps you moving.
- Life & Disability Protection: Life, AD&D, and permanent disability coverage so you and your family are protected when it matters most.
- Retirement Program: Monthly retirement contributions to help you build the kind of long-term financial security that lets you focus on the work in front of you.
- Time That's Actually Yours: Flexible PTO to rest, recharge, and show up as your best self — no counting days, no guilt.
- Work From Anywhere: The freedom to work from anywhere in the world for a full month each year, because life doesn't pause and neither should you.
- Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
- Equipment: Top-of-the-line Pave hardware waiting for you on day one — no setup anxiety, just hit the ground running.
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
- TypeScript
- Node.js
- React
- Google Cloud Platform
- API Design
- ETL
- Data Pipelines
- Monitoring
Возможные вопросы на собеседовании
Проверка опыта работы с внешними API и понимания паттернов интеграции.
Расскажите о самом сложном случае интеграции со сторонним API, с которым вы сталкивались. Как вы решали проблемы с лимитами (rate limiting) и несогласованностью данных?
Оценка навыков проектирования отказоустойчивых систем.
Как бы вы спроектировали систему мониторинга и алертинга для конвейера данных, который обрабатывает критически важную информацию о зарплатах тысяч сотрудников?
Проверка владения основным стеком технологий компании.
Какие преимущества и недостатки использования TypeScript и Node.js вы видите при построении тяжелых ETL-процессов по сравнению с другими языками?
Оценка способности работать в условиях неопределенности, что важно для 'founding engineer'.
Как вы подходите к приоритизации задач, когда требования бизнеса меняются, а документация стороннего сервиса оказывается неверной?
Проверка понимания специфики B2B и безопасности данных.
Какие меры предосторожности необходимо соблюдать при работе с чувствительными данными HRIS-систем для обеспечения соответствия стандартам безопасности корпоративного уровня?
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