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Tech Ops Analyst About iProov iProov is the world leader in biometric verification. We are on a mission to make the world a safer place for businesses and consumers and work with fantastic customers across a number of industry sectors - organisations using our technology include the US Department of Homeland Security, the UK Home Office, the NHS, Eurostar, the Australian government, the Singapore government, UBS and many more. Diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Service Management Location: London, UK (Hybrid Working Model - at least twice a week in the office) Comp: Negotiable (base) + Company Performance Bonus (10%) + Equity + UK iProov Benefits iProov is growing fast, and we’re looking for a Technology Operations Analyst to join our Service Management team. If you’re passionate about solving problems, delivering great service, and working cross-functionally, this is a great opportunity. In this customer-facing role, you’ll handle technical queries, provide timely and accurate responses, and help protect iProov’s brand. Strong communication and problem-solving skills are essential, as you’ll triage and troubleshoot issues, enhance customer understanding, and feed insights back to our product teams to shape future improvements. How you can make an impact • Act as the initial contact point into iProov for customer and partner queries and driving any service issues through to resolution, • Perform 1st line application support to all incoming tickets to the customer service desk: triaging, diagnosing, troubleshooting, resolving where possible, and managing escalations to second line Technical Support Engineers and then third-line support when required, • After guidance and mentoring from a Senior Process Automation Engineer, you'll begin by handling basic fixes within the Appian platform., • For context, Appian is a low-code development platform that allows iProov to rapidly build custom business applications with minimal coding. It's primarily used to automate complex workflows, manage cases, and support business process management (BPM)., • Manage and maintain our customer knowledge base, identifying any gaps that need to be closed on frequently asked queries, • Collaborate with other teams in iProov to address customer and partner queries that involve cross functional team interaction, • Act as a liaison between technical teams and business stakeholders, translating technical issues into business impact., • Communicate incident and problem management updates to relevant stakeholders., • Identify and analyse incident data to identify underlying recurring issues and propose preventative measures as part of continual service improvement., • Prepare post-incident reports and conduct incident review meetings with stakeholders., • Maintain a problem management database to track and document root causes and resolutions., • Tracking all problem records and appropriate actions through to resolution involving the management E2E of internal improvement initiatives, • Chairing regular Problem review boards and tracking problem record progress, • Support and participate in audits where necessary What we would like to see from you • Experience with data analysis tools and techniques to extract meaningful insights and address problems., • Possess a foundational understanding of the Appian platform and a strong interest in developing deeper expertise in enterprise technologies. We also welcome individuals with limited experience but a clear enthusiasm and willingness to learn., • Confidence in communicating with a wide range of developers and technical resources, • Excellent communication skills with an attention to detail, • Ability to work in a busy environment and “wow” the customer while protecting iProov’s business reputation, • Ability to prioritise tasks and requests while balancing both customer needs and iProov capability, • Be a great team player in a cross functional environment, • Be capable of working independently and handling variable ticket volumes accordingly, • A can-do attitude, eagerness to learn and make an impact Nice to have, but not essential • Basic understanding of Appian objects and their functions, • Active Appian Certified Associate Developer certification, • Willingness to pursue additional certifications as the role evolves, • Foundational knowledge of database concepts, including tables, queries, and basic data modeling Benefits • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Due to the nature of our work, we may require our staff to pass a UK Security Clearance checks. As such, any offer would also depend on your ability to adhere to the UK Security check criteria.

About the Role We are seeking an exceptional, AI-native Senior+ Product Manager to build and lead the intelligence and reconciliation backbone of HTS across Flights, Hotels, Cars, and Ancillaries. This role owns the systems that define pricing intelligence, supplier performance reporting, and financial truth across millions of travel transactions. You will design and scale model-driven infrastructure that continuously interprets transactional data, generates reference pricing, detects performance shifts, reconciles financial flows, and governs revenue integrity in real time. This is a foundational role at the intersection of marketplace economics, machine learning, and financial systems. You will partner deeply with Data Science and Engineering to productionize predictive models, define evaluation frameworks, manage model lifecycles, and ensure intelligence systems are measurable, adaptive, and trusted. The work you do will directly shape partner economics, supplier transparency, and HTS’s global commerce platform. What would your day-to-day look like: Own the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals. Architect and evolve reference pricing systems leveraging predictive modeling, elasticity signals, competitive benchmarking, and real-time anomaly detection. Build the supplier intelligence layer, transforming transactional data into automated performance signals, demand insights, and pricing diagnostics. Establish and govern the canonical source of truth for revenue, margin, take rate, transactions, and cancellations across systems and partners. Design model evaluation, monitoring, and feedback frameworks, including drift detection and continuous improvement mechanisms. Implement automated reconciliation and anomaly detection systems to proactively surface financial inconsistencies at scale. Drive cross-functional execution across Engineering, Data Science, Finance, Commercial, and Supply to deliver production-grade, model-integrated infrastructure. An ideal candidate has: 5+ years of Product Management experience, including ownership of AI-native products and model-driven systems in production. You have built and scaled systems where AI is foundational to product behavior — not an additive feature. Hands-on experience writing prompts, designing evaluation harnesses, or prototyping with LLMs/foundation models as part of their PM workflow (not just overseeing others doing it) Demonstrated experience operating as an AI-native PM, with hands-on ownership of model lifecycle management including problem framing, signal design, evaluation metrics (e.g., precision/recall tradeoffs, forecasting accuracy), monitoring frameworks, drift detection, and retraining strategies. Experience shipping predictive systems, anomaly detection platforms, automated decisioning infrastructure, or model-driven pricing systems at scale. Strong fluency with SQL and large-scale transactional datasets. Experience owning pricing systems, financial reporting platforms, marketplace intelligence tools, or reconciliation frameworks. Deep understanding of marketplace economics, revenue mechanics, and pricing strategy. Track record of delivering complex, cross-functional systems with measurable business impact. Exceptional communicator able to operate effectively across technical, financial, and commercial stakeholders. Bonus: Prior experience in Data Science, Engineering, or a highly technical role. Background in travel commerce, fintech, ads, or other transaction-heavy marketplace environments. Perks and benefits of working with us: Well-funded and proven startup with large ambitions, competitive salary, upsides of pre-IPO equity packages. Hopper covers 100% of the premiums for the employee for a group insurance plan through Vitality Health. Automatic contributions when you start with Hopper through Smart Pension. Please ask us about our very generous parental leave, much above industry standards!. Access to co-working space on demand through FlexDesk AND Work-from-home stipend. Carrot Cash travel stipend. Unlimited PTO. Entrepreneurial culture where pushing limits and taking risks is everyday business. Open communication with management and company leadership. Small, dynamic teams = massive impact. More about Hopper At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. he Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a travel fintech provider, commerce platform, and global travel agency that powers some of the world’s largest brands. Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada, and many more. Here are just a few stats that demonstrate the company’s recent growth: Billions of dollars worth of travel and travel fintech are sold through Hopper and HTS’ channels every year. Our fintech products – including Cancel for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions. Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel. Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 75% of the business. Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines and many more. Hopper has been named the #1 most innovative company in travel by Fast Company Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agencies in North America and 70% of our app customers are Gen-Z and millennials travelers. Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. HTS is primed to continue its growth as the leading travel ecommerce provider in a $1 trillion online shopping category. The Hopper app and website will also continue to be the preferred travel provider for Gen Z and Millennials.. Come take off with us! #LI-REMOTE

At Spotify, Financial Engineering is building the platform that powers Finance and enables strategic decision-making across the company. Our mission is to create trusted financial abstractions that make complexity manageable and insight actionable — supporting everything from premium and ads growth to forecasting, experimentation, and global reporting. As engineers in the Financial Data Platform team, we turn messy, fragmented realities into clean, reusable foundations. We build core datasets that represent key financial domains like Premium, Ads, and Royalties. We create libraries and tools that empower others to produce and trust financial data at scale. We collaborate deeply with Finance, Product, and Data teams to unlock clarity and drive Spotify’s ambitions forward. We are looking for engineers who are excited to shape the future of financial data at Spotify. You will design and operate scalable pipelines that process billions of records. You will apply product thinking to financial data — managing the full lifecycle from sourcing to documentation to exposure. You will define abstractions that simplify complexity and create intuitive paths for our consumers. Together, we advocate for standards, champion quality, and build systems that others can rely on with confidence. If you thrive on building foundations that have broad, lasting impact, and want to work where financial data truly drives strategy, we’d love to work with you. • Acquire a comprehensive understanding of how financial data supports diverse consumer needs, from Finance to broader business customers., • Build core datasets and financial abstractions that serve as sources of truth for strategic and operational decision-making., • Design, prototype, and build scalable data pipelines that process billions of data points reliably., • Apply product thinking to data: manage the full data product lifecycle from sourcing to documentation and exposition, always prioritizing consumer needs and success., • Advocate for and implement effective data quality, engineering standards, and reusability., • Collaborate closely with engineers, data scientists, finance collaborators, and business teams to build flexible, intuitive data products., • Define data models and abstractions that simplify access to complex financial domains like Premium, Ads, and Royalties., • Contribute to building tools and libraries that enable other teams to build financial data products at scale., • Leverage mentorship and constructive feedback to foster accountability, growth, and collaboration within the team., • Experienced with Data Processing Frameworks: Skilled with higher-level JVM-based frameworks such as Flink, Beam, Dataflow, or Spark., • Comfortable with Ambiguity: Able to work through loosely defined problems and thrive in autonomous team environments., • Skilled in Cloud-based Environments: Proficient with large-scale data processing in cloud environments, preferably with experience in Google Cloud Platform., • Strong Analytical Skills: Adept at breaking down complex problems and communicating insights effectively., • Knowledgeable About Data Modeling: You treat data as a product, with strong data modeling capabilities., • Passionate About Clean Code: Committed to writing high-quality, maintainable code and building robust data pipelines., • Curious and Inquisitive: You have a deep curiosity about data and systems, always seeking to understand and improve them., • Skilled in large-scale data processing: Comfortable working with SQL and platforms like BigQuery., • Excellent Collaborator: You value positive relationships across technical and business domains., • This role is based in London, United Kingdom, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

The Senior Financial Planning & Analysis (FP&A) Analyst will play a key role in driving the financial planning, budgeting, and analysis processes for revenue and related metrics and costs across multiple geographical regions. This role will involve leading complex data analysis, developing sophisticated financial models, and preparing insightful reports and presentations for senior management. The Senior Analyst will also partner with business leaders to provide strategic financial guidance and support key decision-making. • Financial Analysis: Analyze financial data and provide insights on revenue metrics. Proactively identify trends, risks, and opportunities to improve financial performance., • Budgeting and Forecasting: Own and drive the preparation of budgets and financial forecasts in collaboration with the Senior Manager. Develop and implement robust forecasting methodologies., • Financial Reporting: Prepare impactful financial reports and dashboards for senior management, clearly articulating key financial metrics, trends, and actionable insights., • Financial Modeling: Develop and maintain complex financial models to support strategic initiatives, business cases, and long-term planning. Evaluate and improve existing models., • Data Management: Ensure the integrity and accuracy of financial data, driving improvements in data collection and analysis processes., • Collaboration & Business Partnership: Partner effectively with cross-functional teams, acting as a trusted financial advisor and providing strategic financial guidance., • Education: Bachelor's degree in Finance, Accounting, Economics, or a related field., • Experience: Minimum of 5 years of experience in financial analysis, planning, or budgeting, or a related field, at a SaaS or technology company, • Skills: Strong analytical and problem-solving skills, spreadsheet proficiency in financial modeling and forecasting. Ability to work with large datasets and practical understanding of SQL will be a huge asset, • Attention to Detail: High attention to detail and accuracy in data analysis and reporting., • Excellent communication and presentation skills., • Ability to work collaboratively with cross-functional teams., • Strong organizational and time-management skills. Some of the benefits we offer: • A holiday allowance of 25 days + public holidays + your birthday day off., • Vitality Private Medical Cover, (including dental and optical) with self-funded top up options for dependents., • Lifestyle discounts available through Vitality insurance., • Life assurance (4 x your annual salary), • Aviva Group Income Protection - 13-week waiting period, 75% of salary for up to 5 years, • Enhanced maternity pay, • Enhanced salary sacrifice pension scheme- employee contributes 5% and Booksy matches at 5 %, • Employee wellbeing platform: Worksmile (employees can redeem shopping vouchers), • We're proudly distributed across the globe, with each market being remote-first. Depending on which market you're joining, you might have office access or be fully remote - either works. All we ask is that you're based in the country/region this role is advertised in. A bit about Booksy: A career at Booksy means you’re part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting their customers to arrange 'me time' moments, we’re in the business of helping people thrive and feel fantastic. Working in a rapidly growing, ever-changing scale-up comes with its own set of opportunities and challenges. If you prefer a stable environment, with clear processes and structures then, we've got to be honest, you won't always find that here. However, if you enjoy inventively solving problems with others, helping create clarity when things get confusing, and prioritising your own path within ambiguity, then the chances are that you'll love the opportunities available to grow your career at Booksy. Our Diversity and Inclusion Commitment: We work in a highly creative and diverse industry so it goes without saying that we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have any accessibility needs or require reasonable adjustments during the interview process, please contact us at belonging@booksy.com, so we can best support you. How AI helps us find great people Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked.Every application goes through the same AI review to help us spot skills that match the role - but don’t worry, AI never makes the decisions. Real people do. Our recruiters and hiring managers handle every final call. And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application - it won’t affect your chances in any way. If you have questions, just drop us a note - we’re happy to explain more. ~ Booksy Team

Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; _ Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company. Airalo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. Do you thrive at the intersection of marketing science and business strategy? We're looking for a Principal Data Analyst, Marketing Analytics to own and execute our marketing measurement strategy - from Marketing Mix Modeling and incrementality testing through to attribution, channel economics, and budget allocation. This role is for someone who combines deep technical expertise with the ability to influence how a global organisation thinks about growth. You'll design experiments, build models, and deliver the insights that shape how we invest our marketing spend across 190+ countries. But measurement only matters if it changes decisions - so you'll also drive adoption of your work across the Growth organisation, build measurement literacy with stakeholders, and elevate the data culture that turns analysis into action. If you're ready to operate at the frontier of modern marketing measurement in a high-growth, global business - we'd love to hear from you. Manage and evolve Airalo’s growth MMM portfolio - driving the existing market model from validation into a production-grade decision tool, and scaling to additional markets as growth ambition and data readiness allow. Design and execute incrementality experiments (geo-holdouts, conversion lift studies, synthetic control, difference-in-differences) that calibrate the MMM and establish true causal impact of marketing spend across channels. Evolve our attribution methodology: determine the right models and attribution windows for our purchase cycle, specify the data requirements, and measure the impact of tracking remediation on attribution accuracy. Calculate and continuously optimize the CAC metrics (platform-reported, internally-attributed, incremental, and blended) and own LTV:CAC as a strategic KPI reported to leadership. Build measurement literacy within the Growth and Acquisition teams: train stakeholders to interpret the LTV/CAC related metrics, understand the difference between attributed and incremental performance, and use self-service reporting with confidence. Build and maintain the performance marketing reporting framework - with Analytics Engineering to ensure the underlying models serve both reporting and measurement needs. Act as analytics partner to the Growth and Acquisition teams: translate business questions into measurement plans, deliver the analytics that inform spend decisions, and build self-service reporting that reduces ad-hoc dependency. Drive adoption of measurement outputs-ensure MMM scenarios, incrementality results, and attribution insights translate into concrete budget allocation changes Contribute to the development of a unified decision framework that integrates signal health, attribution, and incrementality into budget allocation guidance with clear go/no-go criteria for scaling spend by market and channel. Build institutional knowledge: document every experiment result, every MMM refresh, and every signal quality trend so that each quarter’s decisions are better informed than the last. Collaborate with the Senior CDP Engineer and MarTech on the data and signal infrastructure that underpins measurement - defining what you need, so they can build it right. Several years of experience in marketing analytics, marketing science, or growth analytics, with deep expertise across at least two of Marketing Mix Modeling, Incrementality Testing (geo-experiments, RCTs), and Multi-Touch Attribution. Hands-on experience building, validating, or calibrating MMM models- whether using Robyn, Google Meridian, PyMC-Marketing, LightweightMMM, Bayesian regression, or working closely with vendors who do. Strong foundation in causal inference and experimental design: you understand difference-in-differences, synthetic control, propensity scoring, and when each method is appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity with analytics engineering workflows (dbt preferred). Experience with data visualisation and BI tools such as LightDash, Looker Studio, Tableau, or Metabase. Proven track record of calculating and optimising channel-level CAC, LTV, churn, and ROAS, and using these metrics to influence marketing spend decisions at scale. Exceptional communicator: you navigate deep technical conversations and translate findings into clear recommendations for senior stakeholders and board-level audiences. A proactive, self-starter mindset. You thrive in ambiguity, work autonomously, and are energised by building in fast-paced, high-growth environments. Experience with Bayesian modelling frameworks (TensorFlow Probability, PyMC, Stan) and their applications in marketing measurement. Familiarity with mobile analytics platforms and MMPs: Adjust, AppsFlyer, CleverTap, or similar. Experience with ad platforms (Google Ads, Meta Ads, TikTok Ads, Apple Search Ads) and their attribution APIs, conversion modelling, and server-side event integration (cAPI, Enhanced Conversions, SKAN). Knowledge of the eSIM, telco, MNO/MVNO, or travel-tech landscape. Exposure to semantic layers, metrics-as-code, or KPI governance frameworks. Experience with privacy-first measurement strategies in the post-cookie, post-ATT world. Experience with cross-border or multi-market attribution challenges where marketing geography and conversion geography diverge. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: _ We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we use AI-assisted tools as part of our recruitment process. Your application will be reviewed using tools that help our recruiters analyze and organize CV information. These tools support, but do not replace, human judgment; all hiring decisions are made by humans. If you progress to an interview, we may use tools to generate AI-assisted notes - you can opt out of these. For more information on how we handle your data, please see our Privacy Policy: https://www.airalo.com/more-info/privacy-policy.

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.

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Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu