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Hi 👋 I’m _, Director of Engineering, Europe. How do you feel about engineers writing product specs, making product decisions, and not breaking down projects into individual tickets? If that sounds exciting (even if a bit scary), read on because I’m looking for an engineering manager to help us build a different type of engineering team and culture at Ashby. To start, why do we need to be different? Time and again, I have witnessed engineers knowing what needs to be done yet being unable to get things done because of “the process” or because “more data is needed.” Some of the most effective projects have been skunkworks projects, where engineers have taken total ownership of a problem and driven it to completion. I want to normalize that at Ashby. When we think about how these processes came about, we realize they carry a pessimistic mindset. They box people into smaller roles to minimize the chance of not meeting a certain standard. At Ashby. we’re building an environment that is optimistic about what engineers can own and achieve and embraces the innovative engineers (and frankly, often stays out of their way). To accomplish this, our engineering leaders need to think deeply about individual performance, process, and culture - not running sprint planning or driving product and technical decisions. You’ll focus on building your team, their skills to thrive with the ownership they’re given, and an environment that empowers them to do their best work consistently, with little distraction. For junior EMs we try to stay within 6 direct reports. This enables them to spend time with our teams observing, correcting, praising, and, yes, coding. We like our managers to be hands-on while also making sure they’re not on the critical path. We’ve already gathered an_ of 25+ engineers. You’ll help me manage the growing team of engineers in Europe. In addition to working with engineers you’ll also get to work on projects yourselves. Some examples of work our engineering leaders have done: Provide feedback on product and technical specs to help engineers identify where to cut scope or improve quality. You don’t make the final decisions, but you’ll influence and coach ICs to reach the right ones. Grow engineers to the point where they can take large, loosely defined projects, and deliver them with little intervention. They still ask for help when needed - the difference is that they’re driving. Jump into our systems and code to debug a customer issue, ship a small bug fix, or improve our developer experience. Engineering leaders at Ashby are great engineers and enjoy keeping their skills up-to-date (while staying off the critical path). Improve how we generate and simulate data in demo accounts. It’s a project off the critical path, but it helps you keep up-to-date on our codebase while immensely impacting the business, from Engineering to QA to Sales. I had two experiences early in my career that set me on my path. I had a great manager who asked tonnes of questions about the decisions I was making and coached me without me realizing it. And I had a terrible manager - being told to work harder after a week of 3am finishes was not what I needed as a young engineer. The stark difference between these two experiences motivated me to become a manager: I wanted every engineer I worked with to have the support I had in the best case. Since then, as I’ve learned more, I’ve realized that I love the kind of problems I get to solve as a manager. Deeply complex problems with long-term impact both on the company and on people’s lives. One of my proudest achievements is creating a fully transparent pay system, and on the day it was revealed, everybody was happy with it. Nobody stormed out. By spending time thinking deeply about everybody’s pay and ensuring the mechanics of promotion were clear, I put the team in a place where they could see a peer was paid more than them, and it not be a problem. Despite all this, I love being technical. I sometimes indulge myself and spend a morning writing some code to improve tests or provide better abstractions. If I couldn’t be a manager, I’d be super happy to be an IC. I’m looking for someone who is passionate. Passionate about both management and being technical. Someone who spots a pattern amongst their team, figures out a better way for us to operate, and then builds the automation that powers it. I introduced a new process that enables engineers to merge 30% of PRs without a human review beforehand. I also built the automation that approves these PRs. I also built that automation with abstractions that make it easy for the engineers to improve the automation themselves. It can be hard to find seasoned engineering leaders who haven’t succumbed to the status quo in some way or another. We're committed to giving all our people a total and utter lack of terrible managers, and that means we're willing to take a chance on someone early in their leadership journey who's courageous, principled, and has the drive to build themselves into a great leader who can say “Yah I know everyone is doing that, but we won't because...” Engineering leadership comes in many flavors, not all of which fit our model. I thought I’d outline some things I’m looking for to help you decide if this fits what you’re looking for: You love being technical and can hold in-depth conversations with direct reports from infra to backend to frontend. You enjoy management problems. We want people who get excited about driving people to be their best, giving difficult feedback, and building systems that make this easier You hold your team to a high standard and don’t shy away from getting into the details and giving feedback, even to the best folks on your team. You are an excellent and empathetic communicator. Facilitating change at both an individual and organization level requires understanding how to navigate the beliefs, opinions, and past experiences of engineers and figuring out how to both convince them of a new way of doing things while also leaving yourself open to feedback. You know what exceptional engineers look like. You’ve thought deeply about what makes them tick, how to recruit them, and how to grow folks into them. I want to see depth here, the industry often regurgitates a vanilla description, but the reality is more nuanced. You’re good at thinking about product, business, and maybe even design, but you’re not interested in calling the shots and are more interested in building a team that can make the best decisions without you. You thrive in high-trust, high-autonomy environments. We're a young startup where leaders wear multiple hats, and you'll build your own (high-speed) on-ramp through developing strong feedback loops. Put another way, you shouldn’t apply if: You don’t enjoy coding or don’t find time to stay up-to-date on technology. You’ve gotten into management because it was the only growth path available You want to make all the product decisions instead of empowering your team to make those calls. You're happy with a team of engineers that are predominantly early-career, mid-career, or don't thrive with ownership or autonomy. With enough guardrails, the team can get things done. A staff or principal engineer to you is someone who spends most of their time project managing or doing architecture reviews. You’re not optimistic or convinced that we can build a large engineering team that functions differently than the status quo. You think, at some size, common processes need to be implemented to ensure consistent product delivery (e.g., sprint planning, product managers writing in-depth specifications). You might not say it out loud, but you think, at some size, compromises have to be made for the sake of hiring numbers. Talent teams aspire to build a hiring process that identifies great candidates, moves them quickly through the interview process, and provides an excellent experience for the candidate. To accomplish this, recruiters perform thousands of daily tasks to coordinate and relay information between candidates, interviewers, and hiring managers. Teams struggle to keep up! Scheduling a final round is an excellent example of our customers' challenges. A recruiter needs to collect availability from the candidate, identify potential interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and perform any last-minute adjustments as availability changes. They must perform this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 Ashby provides talent teams with intelligent and powerful software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We put a lot of effort into designing products that are approachable to beginners but mastered and extended by power users. In many ways, spreadsheets set the bar here. We have many customers, great revenue growth, years of runway, and amazing investors like YCombinator, Elad Gil, and Lachy Groom. I’ll share more once we meet. Our engineering culture is motivated by and ’s (our co-founders) belief that a small talented team, given the right environment, can build high-quality software fast (and work regular hours!). Our engineering team (and the team at large) consists of lifelong learners who are humble and kind (meet them !). These attributes create an environment where collaboration happens naturally (we filter for it in interviews). We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers can focus 36h out of a 40h work week (Abhik wrote about it ). Even managers can rely on getting consistent time (and support to make, if necessary) to focus and do creative work without the demand of constant meetings. We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in: Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 5x a day. Everyone on the team has contributed to developer experience 💪🏾 Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) which we are constantly improving. Each improvement to a common component cascades throughout our app (short video on it _). Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: And a demo of one of these building blocks: We, as engineers, find clever ways to solve problems, which amplifies when we deeply understand the problem. All of us in technical leadership did our best work as engineers when we had a deep understanding of the end-user and the business and ownership over the solution. Our engineering culture reflects this experience: engineers own projects end-to-end, from speaking with users to writing product specs to UX design. These are skills that we often don’t get to practice as engineers, and, as a manager at Ashby, you’ll provide mentorship and feedback to engineers to ensure they are successful when delivering projects. Diverse teams_. As the father of two young girls, I want to see them grow up in a world where all industries are open and welcoming to everyone, regardless of race, gender, or preferences. Helping to build a more diverse team at Ashby is my way of contributing to this change. Today, 26% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together. Our interview process is six interviews in the following order: Intro Call (30m) - Discuss your application questions, align on the responsibilities of the role, and answer questions about Ashby. Past Experience Deep Dive (1h) - Discuss your past experience as an engineering leader. Technical Screen (1h) - Add a feature back to Ashby. You'll spend most of your time understanding a specific part of our codebase and write less than 15 lines of code. Coffee Chat with VP of Engineering (1h) - Spend time with our VP of Engineering and get to know each other. Meet the Team (2h) - At this point, the engineering leadership team is excited about you and you'll meet our CEO, Engineers, Product Managers, and some other folks on the team. I will be your main point of contact and prepare you for interviews. If we don’t give an offer, we’ll provide feedback! I’m sharing our tech stack with the caveat that we don’t require previous experience: TypeScript (frontend & backend), Node.js, React, Apollo GraphQL, Postgres, Redis. Competitive salary and equity. 10-year exercise window for stock options. You shouldn’t feel pressure to purchase stock options if you leave Ashby —do it when you feel financially comfortable. Unlimited PTO with four weeks recommended per year. Expect “Vacation?” in our one-on-one agenda until you start taking it 😅. Generous equipment, software, and office furniture budget. Get what you need to be happy and productive! $100/month education budget with more expensive items (like conferences) covered with manager approval. Ashby’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We’re being deliberate about building that environment from the ground up. I hope that excites you enough to apply. Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: • Orchestration Platforms: Apache Airflow, Dagster, Prefect, • Transformation Tools: dbt, SQLMesh, • AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. • Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design, • Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards, • Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications, • Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback, • Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities, • Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows, • 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer, • Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation), • Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries, • Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect), • Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation, • Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases, • Solid experience with concurrent Python: threading, multiprocessing, and async patterns, • Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities Bonus points for: • Experience deploying AI/ML models in production, including inference APIs and vector databases, • Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role, • Familiarity with ClickHouse or similar high-performance OLAP platforms, • Familiarity with the JVM ecosystem Eligible locations: • USA, • Canada, • UK, • Portugal, • Spain, • France, • Italy, • Germany, • Netherlands, • Poland, • Czech republic, • Israel, • UAE For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed. These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments. An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization. If you have any questions or comments about compensation as a candidate, please get in touch with us at _. • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries., • Healthcare - Employer contributions towards your healthcare., • Equity in the company - Every new team member who joins our company receives stock options., • Time off - Flexible time off in the US, generous entitlement in other countries., • A $500 Home office setup if you’re a remote employee., • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. Culture - We All Shape It As part of our first 500 employees, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values . Check out our or follow us on _ to find out more about what’s happening at ClickHouse. Equal Opportunity & Privacy ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see _ for our Privacy Statement.

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