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Location: Mexico City Workplace: onsite Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users,  agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in  Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100  countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are seeking passionate, proactive, and results-driven Account Executive, Enterprise with previous experience working with the Andean territory who is excited to contribute to a fast-growing and innovative company. The ideal candidate is someone who thrives in a dynamic environment, embraces challenges as opportunities, and is motivated to bring fresh ideas to the table.You should be a strong team player with excellent communication skills, eager to learn and grow, and ready to make an impact from day one. Most importantly, we’re looking for individuals who share our values, believe in collaboration, and want to be part of a workplace where creativity, accountability, and ambition are celebrated.The role is based in Mexico City, Mexico. Responsibilities:Manage the entire enterprise sales process and resources to develop and implement winning solution sales strategies across the Andean Region (Peru, Ecuador & Bolivia);Generate new business opportunities on an assigned territory, manage pipeline, opportunities, forecasting, and other items related to an outside sales function;Focus on new logo acquisition as well as managing relationships with existing accounts to identify opportunities for cross-selling and up-selling;Deliver against revenue targets and all key performance metrics;Establish relationships with multiple VP/C-level buyers (Business and IT);Develop and orchestrate sales presentations and product demonstrations;Ability to work with all customer functions, including executive-level personnel, various customer stakeholders, architecture, operations, design, vendor management, innovation, sourcing, and customer procurement.Requirements:Minimum 7+ years of experience in quota-carrying sales roles;Experience in Enterprise SaaS platform sales to large enterprises in Latin America and the Andean region (Peru, Ecuador & Bolivia), with a deep understanding of executive-level Enterprise and/or Global account sales methodologies;Experience in navigating complex Enterprise environments, managing long sales cycles and large deals, and building relationships with C-level executives and key decision-makers;Proven track record of meeting quarterly and annual targets;Outstanding organizational, excellent communication and interpersonal skills, and an ability to build and maintain strong, lasting business relationships with clients;Ability to identify and focus on the highest-revenue potential clients;Understand key market and industry trends and dynamics;Strong personal network within the region;Self-motivated, results-driven, energetic, highly enthusiastic, and passionate about sales;Fluent in Spanish and English — both verbal and written;Experience with the CRM, No/Low-Code, workflow automation software space is a plus.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A leading source of multilateral development financing providing loans, grants, and technical assistance to support economic growth and sustainable infrastructure. Operating alongside its private-sector affiliates, the institution leverages public and private capital to address critical regional challenges. Today, it focuses on climate change, innovation, and digital transformation to improve lives across global markets. What You’ll Do Review business and functional requirements and translate them into detailed test scenarios, test cases, and expected results Execute functional, integration, regression, conversion, and end-to-end testing Support System Integration Testing and User Acceptance Testing Validate front-to-back workflows across trade capture, pricing, risk, settlements, collateral, messaging, and accounting Prepare, validate, and maintain test data for functional and integration testing Coordinate with technical teams to support test-environment setup, configuration, and readiness Perform data validation and reconciliation across source systems, trading platforms, and downstream applications Validate interfaces, scheduled tasks, batch processes, reports, messages, and accounting outputs Record test results and maintain requirements-to-test traceability Identify, document, and track defects using Jira and Xray or comparable tools Participate in defect-triage sessions and provide clear reproduction steps, supporting evidence, and impact analysis Work with business analysts, developers, and functional teams to investigate and resolve defects Retest resolved defects and perform regression testing to confirm system stability Support automated test execution and continuous integration processes where applicable Assist with performance, security, and operational-readiness testing Prepare test-execution reports, evidence packages, and readiness documentation Communicate progress, blockers, defects, dependencies, and risks to the QA Lead and project stakeholders Follow established testing standards, quality controls, and project-governance processes Identify opportunities to improve test coverage, efficiency, and overall product quality What You Bring Hands-on experience testing capital-markets or financial-services applications Strong understanding of front-to-back trade-processing workflows Knowledge of financial products and the trade lifecycle Strong knowledge of software-testing principles, methodologies, and lifecycle processes Experience creating test scenarios, test cases, test scripts, and supporting evidence Experience with functional, integration, regression, conversion, and end-to-end testing Experience supporting System Integration Testing and User Acceptance Testing Experience validating interfaces, batch processes, scheduled tasks, reports, and downstream outputs Strong data-validation and reconciliation skills Working knowledge of SQL for test-data analysis and backend validation Experience using Jira and Xray or comparable test- and defect-management tools Understanding of defect lifecycles, severity classifications, triage, escalation, and resolution tracking Strong analytical, troubleshooting, and problem-solving skills Clear written and verbal communication skills Ability to work effectively with QA, development, functional, and business teams Nice to have Experience testing Calypso implementations Familiarity with front-to-back Calypso workflows Experience with the Calypso Automated Testing Tool (CATT) Familiarity with automated testing tools such as Selenium, JUnit, or Cucumber Experience integrating automated tests into CI/CD pipelines Experience with position-conversion or data-migration testing Knowledge of SWIFT messaging, collateral management, or accounting workflows Experience working within a highly regulated banking environment English level Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Задачи: — Разработка бэкенда на Python — Работа с Prompt Engineering и Agentic AI (LangChain) — Разработка Agent Skills и Tools — Работа с SQL и Snowflake — Работа с Cortex Analyst, Text-to-SQL / Intent-to-SQL Требования: — Английский B2+ — Опыт разработки бэкенда на Python — Опыт Prompt Engineering — Опыт с Agentic AI, предпочтительно LangChain — Опыт с Agent Skills и Tools — Опыт работы с SQL — Опыт работы со Snowflake — Опыт работы с Cortex Analyst — Опыт работы с Text-to-SQL / Intent-to-SQL — Опыт с DeepEval (желательно) — Опыт с MLflow instrumentation (желательно) — Опыт тюнинга стоимости и производительности (желательно) — Опыт с metrics cache и pre-aggregation (желательно) — Опыт в DataOps / Data Platform (желательно) — Понимание архитектуры semantic-layer (желательно) — Опыт в Pharma Commercial (желательно) Условия: — full-time — Долгосрочное сотрудничество

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. We're looking for a Senior Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office). This role sits in our Consumer Org, where you'll work on recommendation problems with direct, measurable impact on how customers discover relevant content. You’ll collaborate with experienced scientists and engineers across DoorDash, Deliveroo and Wolt, learning from multiple recommendation systems while helping shape the next generation of the experience. What You'll Be Doing Design, develop and improve recommendation, ranking and retrieval models that surface relevant restaurants, dishes, items and content to customers. Own applied ML problems end to end: frame the problem, analyze data, develop models, define offline evaluation, run experiments and monitor production performance. Develop methods that balance relevance with product and customer needs, such as diversity, availability, business constraints and changing user intent. Collaborate closely with Software Engineers, ML Engineers, Product Managers and Analysts to turn scientific insights into reliable customer-facing products. Evaluate and apply state-of-the-art ML methods where they meaningfully improve recommendation quality, robustness or efficiency. Contribute to a high bar for applied-science practice through technical reviews, knowledge sharing and thoughtful experimentation. What You'll Need to Thrive You have substantial hands-on experience applying machine learning to real-world problems and a track record of bringing models from development into production; a PhD with relevant applied research experience is equally welcome. You have experience with recommendation systems, ranking, retrieval, personalisation, or closely related ML problems. You can independently turn an ambiguous customer or product problem into a well-scoped ML approach, make sound trade-offs and drive it to a measurable outcome. You are proficient in Python and experienced with modern ML frameworks and large-scale data processing. You understand how to evaluate ML systems rigorously, including offline metrics, experiment design and interpreting online results. You communicate complex technical ideas clearly and work effectively with cross-functional partners. Why Join Us? At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you're rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Задачи: — участие в международном проекте в роли Senior Backend Developer Требования: — уровень английского языка B2+ — опыт разработки на Python для backend — опыт работы с Prompt Engineering — настройка Agentic AI, предпочтительно LangChain — опыт работы с Agent Skills и Tools — знание SQL и Snowflake — опыт работы с Cortex Analyst — опыт работы с Text-to-SQL / Intent-to-SQL Желательно: — опыт работы с DeepEval — опыт инструментирования MLflow — навыки настройки производительности и оптимизации затрат — опыт работы с кэшированием метрик и предагрегацией — опыт в DataOps / Data Platform — понимание архитектуры семантического слоя — опыт работы в фармацевтической коммерции Условия: — удалённая работа из Европы — полная занятость — долгосрочный проект

Location: Armenia; Poland; Georgia; Serbia Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Go Developer to join our dynamic team on a full-time basis. The role requires a self-sufficient engineer who can understand business requirements, collaborate with analysts and teammates, and deliver stable, production-ready solutions. What You will do: • Participate in backlog refinement sessions. • Review business requirements and validate technical solutions. • Contribute to implementation planning. • Develop integration services with external providers and public systems. • Implement fiscalization and electronic invoicing functionality. • Deliver production-ready solutions. • Maintain service stability through monitoring, logging, and incident response. • Collaborate on regulatory services. • Independently deliver integration tasks after onboarding. Requirements • Strong commercial experience with Go, including: - Memory management - Garbage collection - Concurrency • Experience building REST APIs. • Experience with Kafka for asynchronous messaging. • Strong knowledge of MySQL (or another relational database), including: - Transactions - Indexes - Locking mechanisms • Experience implementing Redis caching strategies. • Experience with Docker and Kubernetes, including Helm. • Hands-on experience with CI/CD pipelines (GitLab CI or GitHub Actions).

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Engineering Manager Location: Remote US Compensation Range: $200,000 - $220,000 base plus bonus and equity What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 5M endpoints and 11M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. What You’ll Do: The Huntress team seeks a Staff Software Engineer to join our SOC Experience team. This team builds the human-analyst side of Huntress’ SOC platform: the investigation and triage experience analysts use to work a case, the remediation actions they take, the queues that route and prioritize incoming work, and the customer-facing reporting that closes the loop with customers. Your contributions will help Huntress improve analyst efficiency, reduce toil, and drive customer outcomes as we scale protection for the 99% . As a Staff Software Engineer, you’ll provide technical leadership across this surface area: shaping architecture and design direction, converting ambiguous requirements into functional workflows and data models, raising the bar on code quality and testing, and mentoring engineers across the team. You’ll partner closely with Product, UX, and SOC stakeholders to turn operational pain points into reliable, auditable systems, and you’ll go deep in the code yourself. This is a full-stack role with real front-end weight: the analyst experiences you’ll build are data-dense, interactive interfaces, and you’ll set the bar for front-end quality as well as the back end. Responsibilities: Provide technical leadership across the SOC Experience surface area: investigation and triage experience, remediation actions, queues, and customer-facing reporting. Lead and develop high-quality software, software designs, and architecture Design and build analyst-facing interfaces end to end, from data model to browser, and set the standard for front-end quality (usability, performance, accessibility, reusable patterns) in partnership with UX Set the standard for engineering excellence on the team through code review, test plan review, and hands-on pairing Lead security-by-design reviews of designs and code Focus on the full lifecycle of the systems you build, including evolution, configuration, and risk management, not just initial delivery Share ownership of delivery, reliability, and uptime for the features you build, with observability and test automation built in Mentor engineers across the team to help them grow into harder problems Balance technical rigor with pragmatism: push back when a shortcut creates real risk, and push back on over-engineering when the goal is discovery or speed Partner with Product, UX, and SOC stakeholders to turn operational pain points into reliable, auditable systems What You Bring To The Team: 10+ years of experience developing complex software products 5+ years of programming in Ruby on Rails Strong front-end fundamentals (JavaScript, HTML, CSS) and experience building complex interactive UIs with modern component-based frameworks; today’s stack is Hotwire, Turbo, and Stimulus, but you can reason outside that box Experience with AWS or other public cloud environments, and Linux-based infrastructure Experience with relational databases such as Postgres Experience with AI coding tools, such as Claude Code Preferred Qualifications: Experience with ClickHouse Experience building cybersecurity products, or building/operating a SOC platforms Experience with Hotwire, Stimulus, Turbo What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com. Please note that non-accommodation requests to this inbox will not receive a response. If you have questions about your personal data privacy at Huntress, please visit our privacy page #BI-Remote Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Director, Engineering Location: Remote US, Only Compensation: $215,000 to $240,000 base plus bonus and equity What You’ll Do: Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled. We’re hiring a Principal Software Engineer to head this effort. This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusions where human expertise matters most. It also reduces toil in the rest of their day by using LLMs to pre-process the output of the tools analysts use constantly, so they start from a clear picture instead of raw telemetry. This isn’t a chatbot bolted onto a dashboard. The system investigates a large volume of signals a day across thousands of customer organizations. Many signals are benign, but some are live intrusions where minutes matter. The telemetry the system reads comes from environments in which attackers are actively operating. Because the system makes real decisions, like closing an investigation or isolating a host, it has to be right, it has to show its work, and it has to know when to hand off to a person. As the technical lead, you’ll own the system’s architecture and direction. That means deciding how an investigation is structured, where deterministic code ends and model reasoning begins, what the agent can and can’t touch, how we know it’s working, and which decisions it makes on its own as it proves itself. You’ll work closely with SOC analysts, detection engineers, product, and other engineering teams. You’ll go deep in the code and help the engineers around you grow. Your work will directly shape how Huntress scales protection for the 99% . We make full use of AI coding tools to enable you to accelerate your development. We don’t cap token usage. We expect you to use AI and all tools responsibly. Responsibilities: Own the architecture of agentic investigation. You help define how signals move from detection into investigation, how investigation state is managed, how tools are designed and exposed to agents, and what a finished investigation contains: the verdict, the timeline, the scope, and the evidence behind every claim. When the team is stuck between options, you make the call, and the foundations you set are what others build on for years. Build agents that investigate like a strong analyst. You work alongside our SOC and product researchers to learn how experienced analysts actually triage and investigate, then turn that into agent behavior: which questions to ask, which evidence to gather, when to dig deeper, and when to stop and hand off to a human. Take toil off analysts’ plates. Beyond full investigations, you build LLM-powered pre-processing for the tools and data sources analysts rely on every day. It summarizes, correlates, and highlights what matters, so analysts spend their time on judgment instead of assembly. Bring a security mindset to the agent itself. The agent reads attacker-influenced data, runs across thousands of customer tenants, and can take action in customer environments. You design as if someone is trying to manipulate it, because someone will. Trust boundaries, tenant isolation, and auditability are part of the architecture from the start. Treat evaluation as a core part of the product. You define how we measure whether an investigation is correct, well-reasoned, and well-documented, and you make sure no prompt, model, or tool changes without evidence that it helps. Decide with data what the system does on its own. Based on measured performance, you decide where it acts autonomously, where a person reviews its work, and how that changes over time. You also recognize when a problem doesn’t need an agent at all. Build for production, not for demos. You design for reliability, latency, and cost at scale. The system keeps working when models are slow, wrong, unavailable, or quietly changed underneath you, and anyone can trace exactly why an investigation reached its conclusion or why an action was taken. Augment analysts, don’t replace them. You design the handoff between agent and analyst so that when a case reaches a person, the agent’s work makes them faster and better informed. You consider how analysts’ work changes as agents take on more of it, and how we explain agent decisions to partners and customers in a way they can trust. Prototype your way through hard problems. When the team hits something genuinely uncertain, you dig in first: derisk it, prove out the approach, then hand it off clearly. Be the engineering face of the Agentic SOC. In conversations with SOC leadership, other engineering teams, product, and executives, you represent the team’s technical perspective clearly and credibly. You drive alignment on key decisions, carry context in both directions, and protect the team from unclear scope. Balance technical rigor with pragmatism. You push back when a shortcut creates real risk, and you also push back on over-engineering when the goal is discovery. You have a bias for action and frequent feedback from analysts and customers, and you can explain your tradeoffs to engineers and non-engineers alike. Raise the floor and the ceiling. Your technical leadership is measured by how the whole team performs, not just by what you personally ship. That shows up in thoughtful code review, pairing on problems others are stuck on, and creating leverage through better patterns, tooling, and shared understanding. You partner with the engineering manager on team health, give direct feedback, and model the judgment and accountability you want the team to have. What You Bring To The Team: 15+ years of experience developing complex software products, including significant time as the technical lead on production systems Hands-on experience designing, shipping, and operating LLM-based agents in production, covering tool use, context management, structured output, guardrails, and evaluation, along with a clear-eyed understanding of how they fail A track record of building evaluation for non-deterministic systems, such as labeled datasets, offline evals, and regression gates, and of measuring quality over time rather than at launch A security mindset: experience building systems that handle untrusted input, enforce multi-tenant isolation, and produce an audit trail that holds up under scrutiny Experience building systems that make automated decisions with real consequences, and the judgment to know what to automate and what to leave to people Curiosity about how security analysts think and work, and a willingness to spend real time learning from them Deep backend expertise in distributed systems, queues, and durable workflows, and concurrency, with a track record of designing for throughput and correctness under load Strong skills in one or more backend languages and the ability to pick up new ones quickly. Our primary stack is Ruby on Rails, and we expect you to become fluent in it Experience with AWS, Azure, or other public cloud environments, and with data stores such as Postgres and Redis Experience with AI coding tools, such as Claude Code BS or MS in Computer Science or Engineering, or equivalent experience Bonus Points: Experience working in or building for a SOC, incident response, threat hunting, or detection engineering. It isn’t required, but it helps a lot, because we build these workflows around how our analysts actually investigate Familiarity with endpoint and identity telemetry and with attacker tradecraft Experience attacking or adversarially testing ML or LLM systems Experience with Ruby on Rails What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Paris, France About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to financial institutions across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with banks, insurance companies, and financial research institutions. You'll leverage your consultative sales expertise in the financial services sector to propel revenue growth while becoming a trusted partner to financial stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in banking, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with financial decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the financial services sector. Navigate complex financial institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to financial services procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze financial market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within financial departments, research centers, and administrative offices. Collaborate cross-functionally to differentiate our offerings for financial applications Navigate complex financial stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from financial users and conveying financial market needs. Provide insights that strengthen our value proposition for financial services Continuously refine the financial services sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 12+ years of B2B sales experience in financial services technology in SaaS, API solutions, or emerging technologies A track record of managing complex sales cycles within financial institutions and securing strategic deals by understanding both technical requirements and financial use cases Demonstrated ability to navigate financial bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within financial services procurement frameworks and policies Proven experience exceeding revenue targets in the financial services sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various financial audiences, from analysts and researchers to senior executives Deep understanding of financial services buying cycles, decision-making processes, and key pain points A strategic, analytical approach to assessing the financial services market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in financial services. You feel strongly about ensuring frontier AI systems are developed safely and ethically for financial use À propos du poste En tant qu'Enterprise Account Executive chez Anthropic, vous rejoindrez l'équipe fondatrice chargée de faire découvrir notre API de productivité IA de pointe et nos solutions SaaS aux institutions financières des marchés EMEA. Vous favoriserez l'adoption d'une IA de pointe et sûre en concluant des contrats stratégiques avec des banques, des compagnies d'assurance et des instituts de recherche financière. Vous mettrez à profit votre expertise de la vente consultative dans les services financiers pour accélérer la croissance du chiffre d'affaires. Vous nouerez aussi des relations de confiance avec les parties prenantes du secteur financier et les aiderez à intégrer et à déployer l'IA, tout en leur faisant découvrir l'étendue de ses capacités dans la banque, la recherche et l'administration. En collaboration avec les équipes GTM, Produit et Marketing, vous affinerez en continu notre proposition de valeur, notre méthodologie de vente et notre positionnement, afin qu'ils trouvent un écho auprès des instances décisionnelles du secteur financier. Le profil idéal a à cœur de développer de nouveaux segments de marché, de repérer les opportunités à fort potentiel et de mettre en œuvre les stratégies qui permettent de les saisir. En favorisant le déploiement des produits émergents d'Anthropic, vous aiderez les entreprises à acquérir de nouvelles capacités tout en contribuant au développement éthique de l'IA. Responsabilités : Remporter de nouveaux contrats et générer du chiffre d'affaires pour Anthropic dans le secteur des services financiers. Vous orienter au sein d'institutions financières complexes pour atteindre les personnes décisionnaires clés, leur présenter nos services et les aider à réussir avec Anthropic. Vous piloterez l'intégralité du cycle de vente, de la première prise de contact à la signature. Concevoir et mettre en œuvre des stratégies commerciales innovantes, adaptées aux cycles d'achat et aux processus budgétaires des services financiers, afin d'atteindre et de dépasser les objectifs de chiffre d'affaires. Analyser le paysage, les tendances et les dynamiques des marchés financiers pour traduire les plans stratégiques en actions et campagnes commerciales ciblées. Piloter l'expansion sur le marché en identifiant de nouveaux cas d'usage au sein des directions financières, des centres de recherche et des services administratifs. Collaborer de manière transverse pour différencier nos offres destinées aux applications financières. Naviguer dans des écosystèmes complexes de parties prenantes (direction générale, services administratifs, DSI et services achats) afin de construire un consensus. Contribuer à la feuille de route et aux fonctionnalités produit en recueillant les retours des équipes utilisatrices du secteur financier et en relayant les besoins du marché. Apporter des éclairages qui renforcent notre proposition de valeur pour les services financiers. Affiner en continu la méthodologie de vente dédiée aux services financiers en intégrant les enseignements dans des playbooks, des modèles et des bonnes pratiques. Identifier des améliorations de processus qui optimisent la productivité et la cohérence commerciales. Ce poste pourrait vous correspondre si vous avez : Au moins 12 ans d'expérience en vente B2B dans les technologies pour les services financiers (SaaS, solutions API ou technologies émergentes) Une solide expérience de la gestion de cycles de vente complexes au sein d'institutions financières et de la conclusion de contrats stratégiques, fondée sur une compréhension fine des exigences techniques comme des cas d'usage financiers Une capacité avérée à naviguer dans les structures bureaucratiques et les processus d'achat du secteur financier, en construisant un consensus entre des parties prenantes variées, dont la direction, les services administratifs et les DSI Une vaste expérience de la négociation d'accords complexes dans le cadre des politiques et procédures d'achat des services financiers Une expérience confirmée du dépassement des objectifs de chiffre d'affaires dans les services financiers, grâce à une gestion efficace d'un pipeline et d'un processus de vente en constante évolution D'excellentes compétences en communication et l'aisance nécessaire pour présenter devant des publics financiers variés, des analystes et des équipes de recherche jusqu'aux membres de la direction Une connaissance approfondie des cycles d'achat, des processus de décision et des principales problématiques du secteur des services financiers Une approche stratégique et analytique du marché des services financiers, alliée à une exécution tactique et créative pour saisir les opportunités Un intérêt marqué pour les systèmes d'IA avancés et leurs applications dans les services financiers, voire une expérience dans ce domaine. Le développement sûr et éthique des systèmes d'IA de pointe pour les usages financiers vous tient particulièrement à cœur. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI is changing both sides of the security equation, and Anthropic is focused on putting frontier AI capabilities in the hands of defenders. Cybersecurity is a fast-growing area for Anthropic, spanning enterprise security teams that adopt Claude for their own security work and security companies that build their products on our models. The buyers are demanding and data-driven, from CISOs to hands-on practitioners in security engineering, application security, security operations, threat intelligence, and incident response. As Field Marketing Lead, Cybersecurity, you will lead Anthropic's field marketing for the cybersecurity audience around the world, helping position Claude as the trusted AI partner for security teams. You will align closely with the sales organization, develop the marketing strategies and tools the field needs, and partner with Anthropic's cybersecurity experts in product marketing, solutions marketing, and across the business to turn their positioning and messaging into programs and campaigns. You will be the cybersecurity lead that our campaigns and regional field marketing teams draw on, working with customers in every segment and with a focus on expanding within existing accounts. You will make sure that how we show up to CISOs, practitioners, and the buying committee is credible, consistent, and tied to revenue, whether in a global campaign, an executive roundtable, or a flagship industry event. Location: this is a global role, with a preference for candidates based in San Francisco or New York. Key responsibilities Own the global cybersecurity field marketing plan: define how we reach CISOs, practitioners, and the buying committee in every customer segment, the annual program calendar, and the goals and success metrics agreed with sales leadership before budget is committed Align with the sales organization worldwide: agree on target accounts and buying committees, build programs that expand Anthropic's footprint in existing accounts and open new opportunities, and make sure account teams have what they need to invite, follow up, and convert Partner with product marketing, solutions marketing, and Anthropic's cybersecurity experts: build on their positioning, messaging, and enablement, and work with them to turn cyber use cases into the programs and campaigns that build awareness and demand Develop the marketing strategies and tools the field needs: playbooks, program kits, speaker guidance, and event recommendations that let regional field marketers in the Americas, EMEA, and APAC run cybersecurity programs locally without starting from scratch Design and run flagship cybersecurity moments in the field: executive roundtables, CISO dinners, practitioner workshops, and Anthropic's field presence around major industry events such as RSAC, Black Hat, Gartner Security & Risk Management Summit, and Infosecurity Europe, in step with the launch, content, and thought leadership plans led by product and solutions marketing Serve as the cybersecurity field lead for integrated campaigns: bring audience insight, field feedback, and program ideas, and extend global campaigns into regional programs so they land with CISOs, practitioners, and the rest of the buying committee Bring the voice of the security buyer back into Anthropic: share what you hear from customers, analysts, and the field with Product, Sales, and Marketing leadership Measure what matters: sourced and influenced pipeline, expansion within existing accounts, program-level attribution, and a clear read on which programs earn more investment, built with Marketing Ops Protect the brand with a skeptical audience: hold a high bar for technical accuracy, keep the story focused on defenders and responsible deployment, avoid fear-based messaging, and know when to say no to a program that would not earn trust Operate as connective tissue across Anthropic: Sales, Campaigns, regional Field Marketing, Product Marketing, Solutions Marketing, Partner Marketing, Partnerships, Events, and Comms all touch this audience. You keep them coordinated and the customer experience coherent Minimum qualifications Working fluency in the cybersecurity landscape, across areas such as security operations, detection and response, threat intelligence, application security, vulnerability management, cloud security, and governance, risk and compliance, with enough technical depth to hold a credible conversation with both CISOs and hands-on practitioners A track record of partnering with sales teams on pipeline and on expansion within existing accounts, including account-based programs and executive engagement, with results to show for them Experience across both integrated campaigns and field marketing, and the judgment to know which one a given goal calls for Experience operating globally: you have led programs across multiple regions and enabled local teams to run them well Strong influence without authority: able to set direction for campaigns and regional field marketers who do not report to you Comfort building in ambiguity: the playbook for this motion is being written now, and you'll write much of it Rigor on measurement: fluent in pipeline attribution with sales and ops counterparts Experience working alongside product marketing and technical experts, and turning their positioning and messaging into field programs and campaigns Range across customer segments: you can adapt a program for a large enterprise, a mid-size company, and a fast-growing startup Preferred qualifications 8+ years of B2B marketing experience, with significant time in field marketing or demand generation for cybersecurity buyers at a security vendor or an enterprise technology company Hands-on background in security, such as time as a practitioner, sales engineer, or product marketer for a security product Familiarity with the AI ecosystem and how enterprises adopt AI products, including how AI is changing security work for defenders Experience marketing trust-sensitive or dual-use products, where responsible deployment is central to the story Existing relationships in the security community: CISO networks, analysts, industry groups, and event organizers Experience marketing to regulated industries or public sector buyers, where security review shapes the deal Experience working with security technology partners, managed security service providers (MSSPs), or global systems integrators The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bucharest, Romania; Larnaca, Cyprus; Warszawa, Poland; Prague, Czechia; London, United Kingdom Workplace: fully –5+ years of AxiomSL experience as an Implementation Consultant, Configurator, Business Analyst, or in a related role ● Experience implementing regulatory reporting solutions or delivering localized customizations ● Strong analytical and problem-solving skills ● Proficiency with data-analysis tools and techniques ● Excellent communication and interpersonal skills ● Ability to collaborate effectively with cross-functional teams ● Experience with business-process modeling and documentation tools ● Advanced English proficiency ● Intermediate Spanish proficiency is considered a plus AxiomSL Expertise ● Hands-on experience with ControllerView ● Knowledge of data models and metadata management ● Experience developing rules and configuring workflows ● Knowledge of data mapping and transformation ● Understanding of data lineage and data-quality controls ● Experience with reconciliation processes ● Knowledge of regulatory report generation and exception management Data Management Knowledge ● Strong understanding of data-management concepts, including: ○ SQL fundamentals ○ Database design ○ ETL processes ○ Data-quality management ○ Data reconciliation Nice-to-Haves ● Experience working within managed cloud environments ● Previous experience supporting capital markets platforms and regulatory initiatives ● Experience within highly regulated banking environments ● Knowledge of enterprise data-governance practices 👍 English: upper-intermediate 🌍 Location: 📩 Ready to Join? We look forward to receiving your application and welcoming you to our team!

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey's Finance Engineering team is the investment-side counterpart to our Legal Engineering team: former investment professionals who bring real deal experience to Harvey's prospects and customers. Forward Deployed Finance Engineers lead discovery, demos, pilots, trainings, onboarding, and custom builds alongside our AEs and CSMs. They translate real investment work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow. Finance Engineers work on Harvey Deals, a new product built off of Harvey's acquisition of Benchmark. Harvey Deals is where investment teams run their deals — screening, underwriting, diligence, and committee materials — built in the firm's own templates and formats, with every figure traceable back to the document it came from. Harvey works with 150+ asset management firms and analyzes 178M+ documents each month; the Finance Engineering team is how that capability meets the way deal teams actually work. Finance Engineers understand how investors think and work, and use that expertise to design, build, and refine solutions that hold up under live deal pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what investment teams actually need. It's a team built to make Harvey the platform investment teams can trust with their most important work. This role is the first Finance Engineer dedicated to private credit. You will build the credit playbook — demo library, workflow templates, use cases — while running live pilots, and lead the credit practice as the team grows. You may be asked to travel around 2–3+ times per month. Travel is always for a significant business need and typically is for 1–3 days at a time. WHAT YOU'LL DO Forward Deployed Finance Engineers on the private credit team are former credit investors who left the desk to help build the future of how credit gets underwritten. Working closely with Account Executives, they engage with direct lenders, opportunistic and specialty finance managers, BDC managers, and insurer credit arms throughout the pre-sales process and stay with them well past it — leading pilots on live opportunities, guiding lenders through what's possible with AI, and sitting down with credit teams to build screening, underwriting, and credit committee workflows in the firm's own templates and formats. The work is the work they did on the desk: lender presentation and CIM review; QoE read-throughs and data pack analysis; cash flow and leverage modeling; sizing and structuring; covenant and credit agreement review; credit memo drafting; and comps. It continues post-close into compliance certificate review, covenant tracking, amendment and waiver analysis, and quarterly portfolio reporting, so value compounds after the first deal. Along the way, Finance Engineers bring credit-team feedback back into the product, helping shape the future of Harvey. WHAT YOU HAVE - 3+ years on the investment or underwriting team at a direct lender, private credit fund, BDC manager, or insurer private credit arm, with demonstrated ownership of live deal work: screening, underwriting, diligence workstreams, modeling, structuring, and drafting credit committee materials. Asset-based and specialty finance backgrounds are welcome. Leveraged finance, restructuring advisory, or rating-agency experience before the principal side is welcome, but principal-side deal execution is required. - Strong command of the documents and data that drive a credit decision — lender presentation and CIM, QoE and data pack, model, credit agreement and intercreditor, compliance certificates — and an instinct for where the numbers and the paper disagree. - Advanced Excel and financial modeling, comfort with prompting and agentic AI workflows, and a builder's instinct for turning a repeated manual process into a repeatable automation. Python, SQL, or experience building internal tools is a plus. - Executive presence and relationship-building skills, with the ability to establish credibility from analysts and associates through to partners and credit committee members. - Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or holding your own in a technical conversation about a covenant package or an underwriting assumption. - Deep curiosity about AI's potential to transform investment work, paired with a practical, solutions-oriented mindset and bias toward action. - Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes. - Customer-facing or commercial experience (LP or investor relations, capital formation, banking coverage, business development) and/or hands-on experience using AI tools in an investment setting are pluses. COMPENSATION • OTE $254,600 - $350,000 USD (75/25 Split) • Offers Equity DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-TM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey's Finance Engineering team is the investment-side counterpart to our Legal Engineering team: former investment professionals who bring real deal experience to Harvey's prospects and customers. Forward Deployed Finance Engineers lead discovery, demos, pilots, trainings, onboarding, and custom builds alongside our AEs and CSMs. They translate real investment work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow. Finance Engineers work on Harvey Deals, a new product built off of Harvey's acquisition of Benchmark. Harvey Deals is where investment teams run their deals — screening, underwriting, diligence, and committee materials — built in the firm's own templates and formats, with every figure traceable back to the document it came from. Harvey works with 150+ asset management firms and analyzes 178M+ documents each month; the Finance Engineering team is how that capability meets the way deal teams actually work. Finance Engineers understand how investors think and work, and use that expertise to design, build, and refine solutions that hold up under live deal pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what investment teams actually need. It's a team built to make Harvey the platform investment teams can trust with their most important work. This role is the first Finance Engineer dedicated to real estate. You will build the real estate playbook — demo library, workflow templates, use cases — while running live pilots, and lead the real estate practice as the team grows. You may be asked to travel around 2–3+ times per month. Travel is always for a significant business need and typically is for 1–3 days at a time. WHAT YOU'LL DO Forward Deployed Finance Engineers on the real estate team are former acquisitions and real estate credit professionals who left the deal side to help build the future of how property gets underwritten. Working closely with Account Executives, they engage with real estate private equity platforms, real estate debt funds, insurer and asset-manager real estate arms, and developer-investors throughout the pre-sales process and stay with them well past it — leading pilots on live opportunities, guiding investors through what's possible with AI, and sitting down with acquisitions teams to build screening, underwriting, and investment committee workflows in the firm's own templates and formats. The work is the work they did on the desk: OM and broker package review; rent roll and T-12 normalization; lease and estoppel abstraction; ARGUS and acquisition model builds; third-party report review (appraisal, property condition, environmental); sale and rent comps; loan document and term sheet review; and investment committee materials. It continues post-close into asset management reporting, loan compliance, and valuation support, so value compounds after the first deal. Along the way, Finance Engineers bring acquisitions-team feedback back into the product, helping shape the future of Harvey. WHAT YOU HAVE - 3+ years on an acquisitions, asset management, or real estate credit team at a real estate private equity platform, real estate debt fund, insurer or asset-manager real estate arm, or developer-investor, with demonstrated ownership of live deal work: screening, underwriting, diligence workstreams, modeling, and drafting committee materials. Brokerage, valuation, or investment banking experience before the principal side is welcome, but principal-side deal execution is required. - Strong command of the documents and data that drive a real estate investment decision — OM and broker package, rent roll and T-12, leases and estoppels, third-party reports, loan documents, ARGUS and Excel acquisition models — and an instinct for where the numbers and the paper disagree. - Advanced Excel and financial modeling, comfort with prompting and agentic AI workflows, and a builder's instinct for turning a repeated manual process into a repeatable automation. Python, SQL, or experience building internal tools is a plus. - Executive presence and relationship-building skills, with the ability to establish credibility from analysts and associates through to partners and investment committee members. - Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or holding your own in a technical conversation about an underwriting assumption. - Deep curiosity about AI's potential to transform investment work, paired with a practical, solutions-oriented mindset and bias toward action. - Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes. - Customer-facing or commercial experience (LP or investor relations, capital formation, banking or brokerage coverage, business development) and/or hands-on experience using AI tools in an investment setting are pluses. COMPENSATION • OTE $254,600 - $350,000 USD (75/25 Split) • Offers Equity DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-TM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. Why Technology at loveholidays Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. The difference you’ll make You’ll sit in the Discover and Book team, reporting to the Lead Software Engineer. You’ll work closely with our product and design teams to help shape fast, accessible and reliable experiences for customers. You’ll work on high-impact journeys across search, discovery and booking, helping customers find and book their next holiday across web and mobile, while continuing to evolve our frontend platform and keep us at the forefront of modern web engineering. You’ll create polished, high-performing customer experiences that make finding and booking a holiday simple and trustworthy. You’ll bring strong product and engineering judgement to the team, balancing speed of delivery with accessibility, performance, consistency and long-term maintainability. Discover and Book sits within our Customer Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers. You will: - Build modern, responsive web experiences that are fast, accessible, reliable and maintainable. - Work closely with Product and Design to turn customer problems into simple, intuitive journeys. - Raise the quality bar for UI by ensuring experiences are accessible, visually consistent and work well across devices, browsers, languages and European markets. - Build and evolve customer journeys that work seamlessly across the web and our iOS and Android app, accounting for the behaviours and constraints of each platform. - Evolve our design system, shared components and design tokens so teams can build consistent experiences quickly. - Improve web performance, including page load speed, rendering, bundle size and Core Web Vitals. - Use experimentation, analytics and customer insight to make informed product decisions. - Build well-tested, observable features and use production signals to continuously improve them. - Collaborate with backend engineers on APIs and data contracts, keeping data ownership clear and frontend integrations straightforward. - Mentor other engineers through pairing, code review and pragmatic technical guidance. - Contribute to our frontend migration, bringing customer journeys from our established application onto our modern shared frontend platform. Your day-to-day: - Deliver customer-facing features iteratively, using experimentation and customer insight to validate ideas and improve outcomes. - Partner with engineers, designers, product managers and analysts within and beyond your team. - Build and maintain reusable UI components, patterns and tooling. - Validate customer experiences across web, iOS and Android. - Make thoughtful technical decisions that support both immediate customer value and longer-term platform goals. - Ensure features are accessible, resilient and measurable. Investigate and resolve production issues using observability tools, analytics and customer feedback. - Leave the codebase, documentation and developer experience better than you found them. Your skillset: - Experience building server-rendered, performant web applications. - A strong understanding of HTML, CSS, responsive design and browser behaviour. A practical commitment to web accessibility and inclusive design. - Experience creating and maintaining component libraries or design systems. - Experience consuming and shaping APIs, ideally GraphQL and REST. - Strong testing habits across unit, integration and end-to-end testing. An understanding of performance, monitoring, reliability and observability in customer-facing web applications. - The ability to break down ambiguous problems, make sound trade-offs and deliver incrementally. - Takes ownership of outcomes, not just tasks. Proactively identifies opportunities to improve the customer experience and considers how their work supports our customer vision as we scale into new markets. - You can work effectively across frontend and backend boundaries, collaborating with teams to deliver end-to-end customer journeys. - Clear communication and a collaborative approach to working with Design, Product and Engineering colleagues. Our frontend tech stack Core: TypeScript · React/Preact · Vite · SSR · GraphQL · Figma · Storybook · GitHub Other: Panda CSS · Design Tokens · Node.js · Vitest/Jest · Playwright · Appium · Capacitor · OpenTelemetry · Sentry · Feature Flags The interview journey: - Talent intro - 30 mins - 1st stage with two Software Engineers - 45 mins - Take-home challenge - Final stage with key stakeholders, in office - 3 hours - Challenge discussion - 1 hour - Reliability and Infrastructure - 45 mins - Tech and Product Culture - 45 mins Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey's Finance Engineering team is the investment-side counterpart to our Legal Engineering team: former investment professionals who bring real deal experience to Harvey's prospects and customers. Forward Deployed Finance Engineers lead discovery, demos, pilots, trainings, onboarding, and custom builds alongside our AEs and CSMs. They translate real investment work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow. Finance Engineers work on Harvey Deals, a new product built off of Harvey's acquisition of Benchmark. Harvey Deals is where investment teams run their deals — screening, underwriting, diligence, and committee materials — built in the firm's own templates and formats, with every figure traceable back to the document it came from. Harvey works with 150+ asset management firms and analyzes 178M+ documents each month; the Finance Engineering team is how that capability meets the way deal teams actually work. Finance Engineers understand how investors think and work, and use that expertise to design, build, and refine solutions that hold up under live deal pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what investment teams actually need. It's a team built to make Harvey the platform investment teams can trust with their most important work. This role is the first Finance Engineer dedicated to buyout. You will build the buyout playbook — demo library, workflow templates, use cases — while running live pilots, and lead the buyout practice as the team grows. You may be asked to travel around 2–3+ times per month. Travel is always for a significant business need and typically is for 1–3 days at a time. WHAT YOU'LL DO Forward Deployed Finance Engineers on the buyout team are former deal professionals who left the investment side to help build the future of how deals get done. Working closely with Account Executives, they engage with middle-market and lower-middle-market buyout funds, sector specialists, and serial acquirers throughout the pre-sales process and stay with them well past it — leading pilots on live opportunities, guiding sponsors through what's possible with AI, and sitting down with deal teams to build screening, underwriting, diligence, and investment committee workflows in the firm's own templates and formats. The work is the work they did on the desk: CIM and management presentation review; QoE and data pack analysis; banker and operating model interrogation; LBO and returns analysis; comps; add-on screening; and investment committee materials. It continues post-close into portfolio monitoring, add-on pipeline tracking, and valuation support, so value compounds after the first deal. Along the way, Finance Engineers bring deal-team feedback back into the product, helping shape the future of Harvey. WHAT YOU HAVE - 3+ years on the investment team at a buyout fund — middle-market or lower-middle-market, ideally with add-on activity — or a growth-buyout or sector-specialist fund, with demonstrated ownership of live deal work: screening, underwriting, diligence workstreams, modeling, and drafting investment committee materials. Investment banking or transaction advisory experience before the buyside is welcome, but principal-side deal execution is required. - Strong command of the documents and data that drive a buyout decision — CIM and management presentation, QoE and data pack, banker and operating models, LBO, purchase agreement and financing terms — and an instinct for where the numbers and the paper disagree. - Advanced Excel and financial modeling, comfort with prompting and agentic AI workflows, and a builder's instinct for turning a repeated manual process into a repeatable automation. Python, SQL, or experience building internal tools is a plus. - Executive presence and relationship-building skills, with the ability to establish credibility from analysts and associates through to partners and investment committee members. - Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or holding your own in a technical conversation about an underwriting assumption. - Deep curiosity about AI's potential to transform investment work, paired with a practical, solutions-oriented mindset and bias toward action. - Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes. - Customer-facing or commercial experience (LP or investor relations, capital formation, banking coverage, business development) and/or hands-on experience using AI tools in an investment setting are pluses. COMPENSATION   • OTE $254,600 - $350,000 USD (75/25 Split) • Offers Equity DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-TM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: European Union; Latvia; Slovakia; Croatia; Czech Republic; Spain; Turkey; Bulgaria; Poland; Hungary; Estonia; Cyprus; Lithuania; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a highly systematic Senior Creative Producer to own the ad creative engine for one of our core D2C subscription products in the consumer AI category. You will be fully responsible for the full concept-to-performance loop, generating the angles, driving production volume, running structured tests, performing competitor research, and turning creative-level data into the next round of winning concepts. This is a high-impact role. Your ad creatives will be the primary performance lever: your work moves CTR, CVR, CPA, and ROAS directly, and you are accountable for those numbers alongside the User Acquisition team. The bar is high and so is the upside; performance here is directly and significantly rewarded. KEY RESPONSIBILITIES - Creative Strategy & Concepting - Own the creative angle strategy: Define which hooks, pains, and value propositions get tested next - Develop creative concepts: demo-led ads, UGC-style video, statics, and AI-generated formats - Translate product features and capabilities into concrete, scroll-stopping propositions for target audiences - Build and maintain a documented library of proven angles, hooks, and creative patterns PRODUCTION & TESTING VELOCITY - Own the creative pipeline across ad networks (Google, YouTube, Meta, Snapchat, TikTok, Applovin, etc) shipping new concepts every week - Structure systematic A/B testing frameworks, isolate variables, and analyze the results to bring solid conclusions. - Produce clear creative briefs for designers to execute high-performing concepts aligned with the brand. PERFORMANCE ANALYSIS & ITERATION - Own creative-level metrics: hook rate, hold rate, CTR, CVR, CPA, and ROAS - Generate testable hypotheses from performance data and retire underperforming angles quickly - Identify winning patterns, codify why they work, and scale them into new concept batches - Deliver structured creative performance reviews with clear recommendations for the next cycle MARKET RESEARCH & COLLABORATION - Run systematic competitor creative research across ad libraries and creative intelligence tools - Track emerging formats, platform policy shifts, and creative trends in the consumer AI category - Communicate daily with User Acquisition Managers, taking briefs on which angles need more volume QUALIFICATIONS Must-Have Experience - 4+ years producing performance ad creative for D2C or subscription consumer products - Proven track record of high-volume output, shipping and live-testing multiple new concepts weekly - Deep working knowledge of the major ad network ecosystems (Google, Meta, TikTok, Snapchat, etc). - Demonstrated fluency with an AI production stack across image, video, voice, and scripting tools - Ability to read creative-level performance data independently and act on it without an analyst in the loop - Experience building structured creative testing frameworks, not ad-hoc one-off tests - Strong portfolio of ads with verifiable performance results. (Applications must include a CV and a portfolio of ad creative you personally produced). Leadership Attributes - Systematic operator. You build repeatable creative processes, not one-time wins - Fully accountable for performance outcomes, not just delivery of assets - Fast and decisive under volume. Comfortable killing your own concepts when data says so - Treats User Acquisition as a working partner, not a downstream recipient of files LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Take-Home Assignment - First Interview (60 minutes) - Final Interview (40 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Europe Workplace: Remote ABOUT ENEBA At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. ABOUT THE ROLE We’re looking for an Analytics Engineering Lead to set the direction for analytics engineering at Eneba and help the team deliver trusted, business-ready data. You’ll lead a team of around 10 analytics engineers. You’ll define what analytics engineering owns and where it is going, connect the team’s work to real business needs, and ensure curated data can be used directly by business teams, BI tools, and AI agents without an analyst in between. WHAT YOU’LL DO - Create and own the analytics engineering strategy, direction, and goals. - Lead, coach, and develop a team of around 10 analytics engineers through regular feedback, one-to-ones, performance management, review cycles, and hiring, helping them become increasingly autonomous. - Establish the analytics data-modeling architecture, engineering principles, quality standards, and ways of working that guide how the team builds and maintains models. - Ensure analytics engineering work begins with a clear understanding of the business problem and delivers data that people can use with confidence. - Enable reliable self-service analytics by making curated data usable by business teams, BI tools, and AI agents, with appropriate semantic layers, metrics, discoverability, and governance. - Evaluate the current analytics landscape and make pragmatic, evidence-based decisions about what should be improved, stopped, rebuilt, or delegated. - Partner directly with stakeholders across the company, including teams such as Accounting, Payments, and Marketing, as well as senior leaders. - Build a strong understanding of Eneba’s business and translate varied stakeholder needs into a clear direction for the team. - Identify and empower technical experts within the existing team to help define and implement engineering standards. - Evaluate analytics tooling and delegate technical discovery where appropriate, while retaining final ownership of analytics engineering architecture and tooling decisions. REQUIREMENTS - Proven experience leading and developing data, analytics, or analytics engineering and people-management in product-focused tech companies. - Experience defining strategy and setting direction for analytics engineering, data modeling, or a closely related function. - A track record of establishing data-modeling architecture, principles, or standards that guide how other engineers build and maintain models. - Strong business judgment: you focus on why data is needed and what problem it solves, not only how models are built. - Strong stakeholder management and communication skills, with proven experience partnering closely with product leadership and representing data in executive-level and cross-functional discussions. - Ability to form clear, evidence-based opinions, challenge existing approaches, and lead change under sustained pressure including recommending that work be stopped or rebuilt when needed. - Experience operating in a high-growth, fast-moving organization with low approval layers, where data supports many business functions. Scale-up experience is helpful. - Working knowledge of SQL and data modeling, hands-on experience with DBT, and familiarity with at least one BI or dashboarding tool. - Fluent English (business proficiency required) What it’s like to work at Eneba - Opportunity to join our Employee Stock Options program. - Opportunity to help scale a unique product. - Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. - Paid volunteering opportunities. - Work location of your choice: office, remote, opportunity to work and travel. - Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes. - We’re an international team and our business language of choice is English. Good English level is required, proficiency is preferred. Please submit your resume in English - To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice   #LI-LK1

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll sit in the Data Science team, reporting to the Head of Data Science. You’ll work closely with Product and Engineering teams to develop predictive models for pricing, recommendations, and other business domains. Together, the team will leverage data to build statistical models that improve commercial decisions. Data Science sits within our Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers. Your day-to-day: - Build and improve data science products across pricing, recommendations and other business domains to improve customer experiences and commercial outcomes. - Turn ambiguous business problems into practical data science solutions, from exploration and modelling through to experimentation and evaluation. - Partner with engineers, analysts and product teams to deploy reliable models and embed recommendations into everyday decision-making. - Monitor model performance, investigate changes and continuously improve solutions as customer behaviour and business needs evolve. - Communicate findings clearly, challenge assumptions and help teams make confident, evidence-based decisions. Your skillset: - Strong experience developing and delivering practical machine learning solutions, balancing model performance, business value and long-term maintainability. - Proficiency in Python and SQL, with experience working with large, complex datasets. - A solid grounding in statistics, experimentation and machine learning, including model evaluation and causal thinking. - Experience collaborating with engineers to deploy, monitor and improve models in production. - Strong communication skills, with the ability to explain technical concepts and influence product and commercial decisions. The interview journey: - Intro with a member of our Talent Acquisition team - 30 minutes - 1st Stage: Virtual Interview with Hiring Manager - 45 minutes - 2nd Stage: Two on-site interviews - 50 minutes for a project discussion deepdive with member(s) of the Data Science team - 1 hour technical discussion around a case study with member(s) of the Data Science team - Final-stage: Virtual interview with key stakeholders - 45 minutes Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.