Вакансии

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As our GTM Compensation Lead on Commercial Operations, you’ll own commissions strategy, design, and execution for GTM. This is an opportunity to evolve how GTM Comp supports a growing GTM org through Notion’s AI-era selling motion and Enterprise growth. You’ll set the incentive systems that shape how our sellers focus, partner, and grow with customers. On a typical week, you’ll work with senior GTM leaders — including the Head of Sales and geo leaders — to translate business priorities into clear, accurate, scalable comp programs. WHAT YOU'LL ACHIEVE: - By your 90th day, map the current GTM Comp operating model and publish a roadmap for evolving the function as GTM grows. - Introduce AI quick wins that improve the quality of work: triage inbound questions, help reps estimate payouts, flag discrepancies across systems, and automate reminders tied to the comp calendar. - Build a planning-cycle framework that makes design inputs, trade-offs, decision rights, and timelines clear across GTM, Finance, and Commercial Operations. - Provide board-level updates, including clear reporting on plan health, payout accuracy, systems quality, and key design decisions. SKILLS YOU'LL NEED TO BRING: - Demonstrated judgment balancing Finance discipline with GTM effectiveness — you can protect accuracy and controls while designing plans that support the selling motion. - Strong financial modeling and data fluency, with the ability to translate complex plan mechanics into clear analysis, recommendations, and executive-ready narratives. - Experience leading transformative operational projects from design through rollout, especially where cross-functional alignment and change management matter. - Track record of building and maintaining sustainable quarterly operating cadences, including clear calendars, communications frameworks, and repeatable review moments. Ideally you have managed this process at a public company. - AI-fluent operating style: you use AI to improve decision quality, automate manual checks, identify data discrepancies, and build tools or workflows that make teams more self-serve. - Familiarity with Everstage a plus! Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $230,000 - $257,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As a Technical Account Manager, you’ll step into the spotlight as the ultimate trusted guide for our enterprise customers! Your mission is to build, deepen, and elevate high-value customer relationships, transforming their strategic learning challenges into game-changing Docebo platform initiatives. Acting as the technical power center between customer executives and internal teams, you will champion platform performance and ensure every customer becomes a thriving, lifelong partner in the future of AI-driven learning. ⚡ THE DAY-TO-DAY - Architect the Strategy: Translate complex customer business goals and eLearning objectives into long-term, cutting-edge technical strategies leveraging the full power of the Docebo ecosystem. - Champion the Relationship: Take full technical ownership of your assigned enterprise accounts, partnering closely with the Account Team to drive active customer growth and remove any roadblock standing in the way of success. - Deliver Executive Impact: Deliver high-visibility presentations on platform SLAs and performance to customer C-suites, advocating for your clients internally while shaping operational excellence. - Innovate and Guide: Serve as a proactive advisor guiding customers through platform innovations, emerging AI/automation features, and release readiness to optimize platform health and API workflows. - Solve Before It Strikes: Continuously monitor platform health metrics—from API usage and custom modules to session trends—to spot and mitigate technical risks long before they impact the business. - Drive Strategic Alignment: Collaborate with Premium Advisors and internal product teams to run proof-of-concept pilots, analyze support trends, and troubleshoot critical customer events in real-time. 💪 YOUR SUPERPOWERS - Proven SaaS Expertise: 5+ years of hands-on technical troubleshooting experience combined with 2+ years navigating enterprise-level SaaS account management. - Tech-Savvy Foundation: A solid grip on front-end web tech (JavaScript, CSS, HTML, RESTful APIs) and core back-end identity protocols (OAuth 2.0, SAML, SSO). - Data & Integration Wizardry: Hands-on strength in at least two key technical domains: iPaaS tools (Workato, Zapier), executing custom SQL queries, or querying BI/Data Warehouse solutions (Snowflake, Tableau, Power BI, Looker, Domo). - Master Communicator: Exceptional ability to bridge the gap between technical complexity and business value, effortlessly tailoring messages for everyone from developers to executive decision-makers. - Organized & Proactive Leader: A project management mindset with a penchant for analytical problem-solving, risk mitigation, and advising on smart operational workarounds. - Global Flexibility: Comfortable traveling internationally up to 25% of the time to meet customers where they are. 🌟 BONUS POINTS - Cloud Certified: Holding an official AWS Product Certification. - Domain Veteran: Prior experience consulting or working within the e-Learning, Learning Management System (LMS), or HCM industries. - Scale Specialist: Hands-on background advising on high-level platform performance, uptime optimization, and enterprise scalability. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Spain Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. We're hiring Senior Product Designers for Credit & Cards (credit application, card issuance, and repayment experiences used by real businesses managing real money). You'll own design from discovery through delivery, turning complex financial workflows into experiences that are simple, trustworthy, and easy to act on — working closely with Product, Engineering, Analytics, and Research. What You’ll Do Own end-to-end design for your domain — from problem framing and research to shipped, polished UI. Use research, product data, and customer feedback to guide and defend design decisions. Collaborate with Product Managers, Engineers, and Analysts to scope work and define outcomes. Contribute to the design system, improving consistency, accessibility, and craft across the interface. Design credit application, card issuance, and repayment experiences that build trust in complex financial decisions. Translate compliance and risk requirements (credit checks, KYC, repayment terms) into clear, honest, usable flows. Balance conversion goals with responsible communication of risk and cost to the customer. Who You Are 4+ years of experience in product design, with ownership of complex, multi-step user flows. A strong portfolio showing user-centered thinking and polished interaction/visual craft. Hands-on experience designing native mobile app products (iOS/Android), you should be comfortable with mobile-specific interaction patterns and constraints (touch, limited screen space, performance, offline states) Experience designing platforms with multiple states, permissions, edge cases, and dependencies. Comfortable using research, data, and business context to defend design decisions in cross-functional squads. Fluent professional English Nice to Have Fintech, SaaS, or other regulated/complex-industry experience (not required — a plus). Prior experience with lending, payments, or KYC/compliance flows. Regular use of AI tools (e.g. prototyping, research synthesis) in your workflow. Hiring Process Step 1: Async Portfolio Review — We review your portfolio link and one written response to assess craft and design quality before scheduling any calls. Step 2: Hiring Manager Call — A video chat with VP of Design focusing on your ownership, drive, and collaborative style. Step 3: Take-Home Assignment — A practical Finom product case study (3–5 days turnaround) evaluated for strategic thinking, user insights, and design execution. Step 4: Live Presentation & Cross-Functional Interview — A full walkthrough and Q&A with design and product leads. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Montréal We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. About the Role Hasbro is seeking a Principal SAP Security Analyst to join our IT Security team in Montreal. This senior individual contributor position will assist in steering access governance, role development, compliance readiness, and security controls across SAP ECC, S/4HANA, SAP RISE, SAP Business Technology Platform, Identity Authentication Service, and Identity Provisioning Service. We are shifting more SAP security responsibility internally and need someone who can guide complex tasks through knowledge, collaboration, and sound judgment. This role is not a people manager position, but it does provide technical direction to SAP analysts, access administrators, project teams, business partners, auditors, and implementation partners. What You’ll Do Build SAP security architecture, standards, access models, and role design practices. Support our migration to SAP RISE, including role mapping, identity integration, access transition, privileged access, connectivity, and post-migration controls. Develop and enhance Role-Based Access Control models that uphold least-privilege, address business needs, and meet compliance requirements. Lead role cleanup, redesign, simplification, and Segregation of Duties remediation. Set up and maintain SAP Identity Access Governance and SAP Governance Risk and Compliance, covering connectors, workflows, risk rules, provisioning, access analysis, and reporting. Strengthen access provisioning, access reviews, emergency and privileged access oversight. Support SOX and IT General Controls by collecting evidence, conducting audit walkthroughs, resolving issues, and providing clear documentation. Review access risks, weak role builds, SoD conflicts, insecure configurations, and control gaps. Partner with finance, supply chain, HR, procurement, SAP application teams, enterprise architecture, identity teams, cybersecurity, compliance, audit, and external partners. Provide technical mentorship without formal people-management responsibility. What You’ll Bring 6–8+ years of SAP security, access governance, role development, or related experience. Solid understanding of SAP ECC and S/4HANA authorization concepts. Experience in configuring or supporting SAP GRC and SAP Identity Access Governance. Familiarity with SAP BTP, IAS, IPS, and SAP RISE security considerations. Knowledge of Role-Based Access Control, Segregation of Duties, privileged access, user lifecycle management, and access reviews. Experience assisting with SOX, IT General Controls, internal audit, or external audit activities. Ability to guide complex initiatives, communicate clearly, and build trust with technical and business partners. Preferred Experience SAP security certification or related SAP certification. Experience securing SAP RISE environments hosted on AWS or SAP-managed cloud infrastructure. Experience with S/4HANA migration, ERP modernization, hybrid SAP landscapes, or cloud identity integration. Experience in managing emergency access, conducting access certification, automating provisioning, and handling privileged access controls. Experience in a global enterprise environment with complex business processes and audit needs. Equal Opportunity and Accommodation Hasbro is committed to equality of opportunity in employment. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status, or any other legally protected status. Reasonable accommodation is available for individuals with disabilities during the application process, interview process, and employment. Applicants who need accommodation should contact their recruiter or coordinator. WE ARE AN EQUAL OPPORTUNITY / AFFIRMATIVE ACTION EMPLOYER Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. #StudiosWizards Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Scientist II - Decision Science Using data, you will play a crucial role in driving decision-making and delivering impactful insights to our stakeholders. You will apply advanced analytical techniques, build Machine Learning (ML) models, and use experimentation and causal inference methods to solve sophisticated business problems related to platform engagement, product features, and games. What you’ll be doing: Apply advanced statistical and ML techniques to analyse large and complex datasets, extracting actionable insights in a commercial setting. Apply your knowledge of Experimentation, Causal Inference, ML, and statistical modelling to develop robust predictive models and identify causal relationships. Collaborate with cross-functional teams to define business problems, formulate hypotheses, and design experiments to test them. Independently extract and integrate data from multiple data systems, including writing complex SQL queries, to support analytical efforts. Support the delivery of results and presentations to stakeholders, translating complex analyses into clear and actionable recommendations. Stay up to date on the latest advancements in Data Science, including Causal Inference, Gen AI, and ML, and share knowledge and new ideas with the team. What we’re looking for: Master's Degree or Ph.D. in Applied Math, Economics, Statistics, Engineering, or a related quantitative field, plus at least 2 years of relevant industry experience, ideally in entertainment, gaming, technology, or a related consumer-facing industry. A BA/BS Degree may also be considered based on additional relevant industry experience. Advanced knowledge and experience applying ML methods using Python and SQL. Familiarity with common development tools and practices, including version control systems (e.g., Git) and workflow management tools (e.g., Airflow). Excellent communication and data storytelling skills, with the ability to effectively communicate technical concepts to non-technical partners. In-depth understanding and experience using supervised and unsupervised ML techniques. Understanding of Online Experimentation (large-scale A/B tests) and Causal Inference methods is a plus Knowledge of the gaming industry and relevant gaming titles is a plus. Familiarity with Gen AI tools and pipelines is a plus. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $156,300 — $234,500 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: USA Workplace: remote 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. 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 looking for an Enterprise Customer Success Manager who will be working with strategic customers across the North American market. The candidate should be based on the U.S. East Coast, with candidates in the Central Time Zone potentially considered. This role will focus on strategic customers with a strong emphasis on banks, credit unions, and other financial services organizations.Key Responsibilities:Maintain and develop long-term relationships with strategic customers in the Corporate & Enterprise segment across North America.Act as a trusted advisor to assigned accounts and communicate effectively with stakeholders at different levels, including C-level executives.Control and audit delivery processes in implementation projects for Corporate & Enterprise customers, identifying early red flags to prevent delivery and launch-related issues.Become a Creatio product expert and help customers achieve their desired business outcomes, value realization, strong product adoption, and high ROI.Develop a deep understanding of customers' business priorities and proactively identify opportunities to support their long-term success.Grow the customer portfolio through strong retention, zero churn, and active cross-sell and upsell.Collaborate closely with internal Sales, Delivery, Support, Product, and Partner teams to ensure a consistent customer experience.Requirements:Minimum 3+ years of B2B Customer Success, Account Management, or Project Management experience working with Enterprise accounts in the U.S.Experience working with banks and/or credit unions and a good understanding of their business models, key processes, and customer/member needs.Proven track record of building strong customer relationships, driving adoption and value realization, and supporting retention and account growth.Strong executive-level communication skills and experience engaging with senior and C-level stakeholders.Experience working with CRM, BPM, or low-code/no-code solutions is preferred.Experience overseeing complex technology implementation projects and proactively identifying customer or delivery risks is a plus.Strong customer-centric mindset with a track record of delivering customer success.Ability to navigate complex customer organizations, coordinate multiple stakeholders, and drive issues toward resolution.Desire to learn and adapt quickly in a fast-changing market and technology environment.Ability to travel for customer meetings and onsite engagements as needed.What to 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: San Francisco, CA | New York City, NY | Seattle, WA 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 Anthropic is seeking a Director, Investments & Liquidity to join our Treasury team. This is a foundational role on a quickly growing Treasury team. As we experience exponential growth, you will be instrumental in ensuring optimal capital allocation, protecting our financial assets, and establishing the policies and infrastructure needed to support our expanding global operations. The work spans strategy and execution: owning the capital planning framework and investment policy, standing up in-house trading infrastructure, and overseeing external managers. Reporting to the Head of Investments & Markets, you will partner closely with teams across Finance, Legal, and Accounting to achieve these objectives. You will build AI-native investment workflows: apply AI tools to portfolio analytics, manager and counterparty monitoring, IPS compliance, interest income forecasting, and executive reporting, partnering with Finance, Engineering, Data, and FinSys, with controls, documentation, and auditability built in. Key responsibilities Own and optimize Anthropic's external investment program, including money market funds, bank deposits,and separately managed accounts Monitor external manager performance and maintain a manager bench with clear performance reporting Design and build an in-house investment program, including direct fixed income trading capability, trade infrastructure, and custodian connectivity Develop and operationalize a capital planning framework across operating and strategic liquidity tiers Design and maintain the investment policy statement, Treasury policies, and SOX-ready investment controls Build CFO-ready management reporting covering portfolio performance, policy compliance, and risk exposures Minimum qualifications Deep expertise in corporate cash investment strategy, developed in Treasury, corporate finance, or fixed income portfolio management Experience with an in-house investment program, including direct fixed income trading Hands-on experience with SMAs, investment policy design, capital allocation frameworks, and external manager oversight Experience developing and implementing Treasury policies and SOX-ready controls Demonstrated operational readiness at scale, with comfort being personally accountable for large, time-sensitive cash movements Familiarity with the Investment Company Act of 1940 and relevant exemptions Preferred qualifications 10+ years of relevant experience in Treasury, corporate finance, or fixed income portfolio management Experience in a high-growth technology environment Experience standing up in-house trading capability and trade infrastructure, including order management systems and custodian connectivity Familiarity with integrating cash forecasting into investment laddering FX/derivative trading experience to act as back up trader for risk team CFA charter 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: $230,000 — $300,000 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. 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 | Seattle, WA 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 Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we're just getting started. Much of this is being built 0→1 right now, in a category no one has defined yet. We're growing the Claude Science product team. As a Product Manager on Claude Science, you will own a major area of the roadmap end to end — think expanding into new scientific fields, landing new model capabilities with researchers, or making the workbench ready for enterprise R&D teams — and help shape the overall product direction alongside the rest of the team. You'll spend real time with researchers in academic labs, biotech and pharma R&D, and research institutes to understand how science actually gets done — from hypothesis to analysis to publication and beyond— and turn what you learn into shipped product. You'll partner directly with our research teams to make the models better at science, help decide which fields and workflows we go after next, and shape what it takes for Claude Science to be trusted in enterprise and regulated research environments. We're looking for experienced product managers and founders with real scientific or technical depth: people who can hold their own in a conversation with a structural biologist or a computational chemist, get in the weeds of model transcripts and evals, and still zoom out to help define a product category. You thrive in ambiguity, uncover non-obvious use cases for nascent capabilities, and bring those insights back to research. Our north star is for Claude Science to accelerate scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. Key responsibilities Own vision, strategy, roadmap, and execution for a major area of Claude Science, and contribute to overall product direction in a category that is still being defined Spend meaningful time with working scientists — in interviews, working sessions, and key customer conversations — and synthesize what you learn into clear priorities, requirements, and success metrics Partner with research to make Claude better at science: define target behaviors, build and shape evals grounded in real scientific workflows, surface failure modes from real usage, and feed them back into model development Drive model and feature launches in your area end to end: define readiness criteria, coordinate across research, engineering, design, and go-to-market, run early access programs, and make sure launches land well with researchers Identify which scientific domains, data sources, tools, and integrations Claude Science should support next, and build the case with evidence from users, usage data, and the broader landscape Prototype ideas yourself with Claude to validate them before committing engineering time Work with safeguards, policy, security, and go-to-market partners so that powerful scientific capabilities reach trusted researchers responsibly, including in enterprise and regulated research settings Drive enterprise readiness  — security and compliance reviews, admin and deployment controls, and the procurement realities of pharma and biotech — so large organizations can adopt it with confidence Prioritize ruthlessly across a broad surface — scientific domains, customer segments, and competing workflows — and make clear calls on what our products serve deeply first, holding the line on MVP versus ideal state Define how success is measured for AI research and development products — adoption and retention among working scientists and operators, time-to-result on real analyses, trust in outputs — and use those measures to steer planning Maintain an objective, current view of the AI-for-science ecosystem — models, tools, benchmarks, and competitors — and of where Claude Science stands within it Minimum qualifications Have product management experience shipping technical products in close partnership with engineering and design, or equivalent experience driving product direction as a founder, engineer, or scientist Have a scientific or deeply technical background — enough to reason with domain experts about their workflows and to diagnose where and why a model is falling short on a scientific task Have a strong grasp of AI and LLM concepts, use AI tools daily, and are comfortable going deep on model behavior, prompting, and evaluation methodology Are data-driven: you ground prioritization in usage data, eval results, and evidence from users rather than intuition alone Have strong user empathy and can synthesize vague or contradictory feedback from expert users into actionable priorities Navigate and execute amid ambiguity as a first-principles thinker, flexing across scientific domains based on the problem at hand and finding simple, easy-to-understand solutions Communicate clearly in writing and can align research, engineering, and go-to-market stakeholders through influence rather than authority Think carefully and creatively about the risks and benefits of putting frontier scientific capabilities into the world, beyond past checklists and playbooks Preferred qualifications 8+ years in product management or equivalent product leadership, including taking products from 0 to 1 and scaling them; founder experience is a plus An advanced degree or hands-on research experience in biology, chemistry, physics, materials science, or a related field — or experience building software for scientists (e.g., computational biology, cheminformatics, lab informatics, simulation, or scientific data platforms) Have personally built evals or benchmarks for model capabilities, ideally agentic or scientific ones Experience shipping products into life sciences, pharma, or other regulated research environments, including familiarity with their data governance and compliance expectations A track record of launching ambitious products that found distribution or commercial success Experience designing trusted-access or staged-rollout programs for sensitive capabilities A creative, hacker spirit and a love of solving hard puzzles 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: $305,000 — $385,000 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. 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: New York; New Jersey Workplace: hybrid About the Role: The hiring problem you'd be solving We build AI systems that enterprises run their business on. Production systems inside banks, insurers, and health systems, where our engineers embed with the client, learn the work, and own the outcome. We call them Forward Deployed Engineers and Forward Deployed Executives. These people hold design conversations with a Chief Data Officer on Tuesday and ship to production next Monday. We are hiring a Recruiter to help us scale our FDE/FDX, Product, and GTM teams. Beyond filling roles, you will help build the community around Provectus. You'd own our US talent community strategy. Five open reqs at a time, none of them generic. We would rather you run five properly than twenty badly. Location: Hybrid, New York: 2-3 days onsite Type: Full-time (W2) or contract What You'll Do: Full-cycle hiring across the US for Forward Deployed Engineers (software, AI/ML, architects, leads), Forward Deployed Executives, Product Owners, and Business Development Managers. Intake to offer. Direct sourcing as the primary channel. LinkedIn, GitHub, community channels, referrals. Passive candidates doing the most consequential AI work, not the ones already looking. You'll build and keep the talent maps for these profiles in financial services, insurance, healthcare, and life sciences. Partnership with the hiring managers. You'll run calibration with them and bring market data when a scorecard doesn't match what exists. Architect and execute Provectus's talent community strategy in the US. Meetups, workshops, hackathons, university programs, and the AI/ML communities our candidates actually spend time in, so the engineers we want know who we are before we reach out. You don't need to have run events before. You need to want to help with that, and there's a budget and support from marketing when you do. The US hiring picture. Talent market intelligence, compensation benchmarking, and how we position Provectus against the companies competing for the same engineers. What you'll bring: 2+ years of full-cycle recruiting, ideally somewhere technical, fast-moving, or consulting-shaped Proven track record hiring senior technical profiles — AI/ML engineers, software engineers, architects, or consulting leaders Direct sourcing as a real skill. You can build a market map from scratch and write outreach a senior engineer actually answers. You already use AI in your own workflow. Come ready to show us what and how. This is one place where being early in your career is often an advantage. Excellent communication and stakeholder management skills Highly organized and comfortable with ambiguity in a distributed, global team Based in the New York / New Jersey area and able to be onsite [2-3] days a week Nice to have: experience at a consultancy or embedded delivery model, GTM or sales hiring, prior event or community building. Where this goes: This is a growing US function. The person who does this well takes on more of the community mandate, more senior searches, and a path toward owning the US talent function. We'll talk about that trajectory. What We Offer: Direct impact on Provectus's growth in the US market with direct visibility to leadership. Access to the Provectus Learning Hub, Claude Code certification support, and access to Anthropic's frontier models as part of our Strategic Partnership Collaborative culture that rewards ownership, curiosity, and continuous learning B2B contract model or Full-time W2 model. Base $120-150k. Final offer reflects experience, skills, and market data. Health, vision, and dental insurance; 401(k) matching; unlimited vacation; 401(K) matching plan (in case W2). About Provectus: Provectus is an AWS Premier Partner and an Anthropic Strategic Partner working at the front edge of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable outcomes through bespoke applications, managed services, and advisory work. We focus on Financial Services & Insurance and Healthcare & Life Sciences, with offices across North America, LATAM, and EMEA. Hiring process: 30-minute intro call with Head of Talent Acquisition 60-minute deep dive into your experience and a conversation about one of our live reqs and how you'd approach that market 30-minute call with a Head of People Operations On-site meeting with the CEO

Location: Berlin, Germany; Helsinki, Finland; Stockholm, Sweden About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Who We Are Global Marts builds the technology behind DoorDash's own grocery and retail operations across DashMart, Wolt Market, and Deliveroo Hop. Our systems decide what products our stores stock, how much inventory to purchase, which vendors to source from, how warehouses execute orders, and what prices customers see. We build everything from forecasting and replenishment systems to vendor management, warehouse execution, labor scheduling, space optimization, and pricing. Our in-house forecasting platform has replaced third-party solutions and now powers production globally. This isn't a traditional CRUD backend environment. Much of our work involves designing new systems that solve complex operational problems at global scale. What You'll Do As a Senior Backend Engineer, you'll work primarily with Go or Kotlin and take end-to-end ownership of production systems and complex technical initiatives. You'll: Design, build, and operate backend systems that support inventory, purchasing, warehouse operations, pricing, and fulfillment. Own technical solutions from problem definition and design through implementation, deployment, monitoring, and production operation. Work on data-heavy systems where software engineering meets forecasting, optimization, and operational decision-making. Turn complex and sometimes ambiguous business problems into pragmatic, scalable technical solutions. Make and influence architectural decisions, balancing scalability, reliability, development speed, and long-term maintainability. Collaborate closely with engineers, product managers, data scientists, and operations teams to shape solutions and technical direction. Improve the reliability, observability, scalability, and operational excellence of the systems you own. Support and raise the engineering standards of the team through technical discussions, code reviews, and knowledge sharing. Use AI-assisted development tools effectively while applying strong engineering judgment to validate their output, improve development velocity, and identify opportunities where AI can create additional leverage. How We Work Autonomy & Ownership: Engineers have end-to-end responsibility for their services, from design and implementation to production and on-call. Collaboration: Architecture and technical direction are shaped together. Senior engineers are expected to contribute actively to decisions and help others arrive at strong solutions. Scalability & Simplicity: We value pragmatic solutions that solve today's problems while providing a sustainable foundation for tomorrow. Impact: We work closely with Product, Data Science, and Operations, connecting technical decisions directly to real-world retail and operational outcomes. Our Tech Stack Our primary backend languages are Go and Kotlin. We also use Kafka, PostgreSQL, MongoDB, Redis, Snowflake, AWS, Kubernetes, Docker, gRPC, GitHub Actions, and modern cloud infrastructure. You don't need experience with every technology in our stack. We're more interested in strong backend and distributed systems fundamentals and your ability to learn and make sound technical decisions. Our Humble Expectations We're looking for engineers who: Have strong experience designing, building, and operating production backend systems. Have professional experience with Go, Kotlin, or another modern backend language. Have experience owning services end-to-end, including design, implementation, deployment, monitoring, reliability, and production operations. Have strong knowledge of backend and distributed systems fundamentals, including APIs, databases, asynchronous processing, failure handling, testing, and observability. Are comfortable working with data-heavy systems and technologies such as Kafka, Snowflake, or similar streaming and data infrastructure. Can navigate ambiguous problems, break them into actionable steps, make appropriate technical trade-offs, and deliver incrementally. Can influence technical decisions beyond their immediate tasks and collaborate effectively with engineers and cross-functional partners. Communicate technical concepts and decisions clearly and concisely. Use AI-assisted development tools effectively in their everyday engineering workflow while critically evaluating generated solutions and taking full ownership of the resulting code and technical decisions. Look for opportunities to use AI to improve engineering productivity and solve problems more effectively, while understanding where human engineering judgment remains essential. Nice to Have Experience in one or more of the following is a plus: Forecasting, optimization, scheduling, recommendation, or decisioning systems. Grocery, retail, logistics, supply chain, or warehouse technology. ERP, vendor management, procurement, or workforce management integrations. Replacing third-party or legacy platforms with internally built systems. High-throughput event-driven or streaming architectures. Why Join Us? You'll help build the technology that powers DoorDash's global grocery and retail business, solving complex operational challenges across inventory, forecasting, fulfillment, pricing, and supply chain. You'll have significant ownership over the systems you build and the opportunity to influence technical direction while working closely with experienced engineers, product managers, data scientists, and operations teams across multiple markets. 📍 This role is based in our tech hub in Helsinki or Stockholm. We work in distributed teams, but may not be able to support fully remote work or relocation. Next Steps We're reviewing applications on an ongoing basis, so don't wait to apply. We'll get back to you as soon as possible. You can read more about our recruitment process here . Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role 🤓 Data trust is becoming one of the most important challenges in the era of AI analytics. Self-service analytics has always required strong foundations. Now, with the rise of LLMs and AI agents, the opportunity is bigger, but so is the risk. Pointing an AI assistant at a warehouse can create a false sense of precision if the underlying data model, definitions, documentation and ownership are not clear. As a Data & AI Governance Specialist at seQura, you will help build the foundations that allow teams to find, trust, understand and apply data and AI safely, autonomously and responsibly. You will work at the intersection of business, data, AI, legal, privacy and security teams, translating complex requirements into clear workflows, usable standards and technical solutions. What challenges you'll be solving 🚀 Collaborate with domain stewards and analysts to maintain a unified data dictionary, clear business metric definitions and AI model documentation. Partner with Core Data, Data Science & AI, Business and Engineering teams to implement automated data quality checks across pipelines, health and performance monitoring dashboards/alerts. Manage and improve the data catalog, AI model inventory and model registry so assets are organized, searchable, well documented and easy to understand. Help Data Champions and AI Owners succeed by giving them clear templates, training, tooling and documentation rather than relying on manual approval gates. Act as the operational bridge between Legal, Privacy, Security and Data & AI teams to support GDPR, SOC 2 and EU AI Act readiness. Champion a culture where quality and responsible AI are collective responsibilities, supported by automation, ownership and practical enablement. About the Data team 🧩 Team mission To amplify seQura’s value by enabling anyone to autonomously find, trust, understand and apply data and AI to make smarter decisions. What we own You will join the Data & AI Governance vertical, working closely with the Data Governance Lead, the wider Data & AI team and business stakeholders across seQura. This team owns the foundations that make self-service analytics and responsible AI possible: metadata, documentation, ownership, quality standards, lineage, data and model discoverability, access governance and AI risk workflows. How we work Data is treated as a product , with clear ownership, quality standards, and consumers. Governance acts as an enablement layer , rather than a blocker. Self-service systems are prioritized over manual approval processes. Close collaboration with domain experts helps turn business knowledge into reusable, trusted data assets. What to expect in the next 90 days 🏁 Month 1 You will onboard into seQura’s Data & AI organization, understand how our data model, access groups and governance practices work today, and start researching the semantic layer foundations needed to support reliable AI-assisted analytics. Month 2 You will start working on metadata and ontology graph initiatives, helping connect business concepts to the right data entities, definitions and ownership structures. Month 3 You will contribute to warehouse optimization and access marketplace initiatives, helping make governed data assets easier to discover, request, use and maintain across teams. Tech stack & environment 🛠️ You will work with tools and systems that support data cataloging, metadata management, self-service analytics, data quality, access governance and documentation. What you’ll need 🤝 Must have: Ability to translate business, legal or privacy requirements into practical solutions with technical teams. 2 to 5 years of hands-on experience in any of these areas: Data Governance, Data Quality Engineering, Analytics Engineering, AI Operations or a related area. Experience working with data teams to implement policies, standards or governance practices in real systems. Experience operating modern data catalog, metadata or documentation tools. Strong communication skills across business stakeholders, technical data teams and legal or privacy teams. Strong analytical ability to trace data quality issues back through pipelines, models or workflows and support root-cause resolution. A self-service mindset: you prefer clear standards, automation and enablement over manual approval gates. Nice to have: Practical understanding of AI and ML lifecycles. Experience with Generative AI application patterns. Understanding of AI cataloging, model inventories or model registries. Familiarity with AI bias detection or mitigation practices. Working knowledge of foundational AI privacy and regulatory requirements, including the EU AI Act. Experience with OpenMetadata, Metabase, Omni, Redshift, Claude or similar tools. Experience supporting semantic layer, ontology graph, access marketplace or data ownership initiatives. Working knowledge of foundational data privacy requirements such as GDPR and SOC 2. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts Flexible working hours. A personal budget for professional development. Office workshops and meet-ups to encourage community participation and career growth. Hybrid work from Barcelona Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. Which are the next steps? 🙌 Interview with People Team Hiring Manager interview Technical take-home assessment (async) Live Peer review of the assessment Meet the team We kindly ask that you submit your CV in English, as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us!👇

Location: NZ: Wellington: Xero One (19-23 Taranaki St); AU: Melbourne: (260 Burwood Rd); NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); AU: Sydney (45 Clarence St) Workplace: Hybrid The role / impact This is a rare chance to shape how an entire technology organization works in the AI era. Rather than shipping another standalone AI feature, you'll build the shared platforms and operating models that make AI-native delivery possible across Xero, spanning AI harnesses that help teams build faster with the right guard rails, gateways that makes using models safe and efficient, and agents that help reduce toil. You'll drive initiatives spanning across the full delivery lifecycle, combining strategy, execution and measurable organizational impact. You'll drive decision-making across products and teams, connect work happening in different phases of development, and train and coach others to build strong AI product practice. In line with our value to Go Bold, you'll set goals that stretch the team and help rethink, and not just solve, the problems in front of you. The team / how they connect This group shapes how products connect to Xero's wider AI strategy and objectives, and looks after the tools and ways of working that help thousands of Xeros deliver value. You'll build close relationships with Engineering, Security, Data and several other teams, keeping decisions joined up across the business. The team is currently working on / Initially, you will focus on - Building and scaling the shared capabilities behind Xero's AI-native delivery model. - Aligning stakeholders on strategy and priorities, and setting baselines for adoption, delivery speed, cost, quality and technology health. - Publishing quarterly roadmaps, operating model and governance approach for the initiatives. - Moving the highest-value workflows from pilot into repeatable adoption Where and how you can work We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment. Here are some of the things we are looking for, for this role - You bring strong platform product management experience, ideally across developer tools, infrastructure, data or AI. - You think in systems, comfortably joining the dots across various phases and teams. - Translating complex technical possibilities into clear outcomes and investment decisions comes naturally to you. - Your approach to discovery, delivery and measurement is outcome-focused, and you know how to prove what's working. - Ambiguity, evolving technology and incomplete information don't throw you off course. - Curiosity and pragmatism sit alongside the resilience to turn early experiments into scalable products. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Dubai, United Arab Emirates Kaizen is looking for an experienced Director of Unit Management to lead our secondary market strategy, drive property transaction volume, optimize unit portfolio performance, and deliver sustainable revenue and asset value growth. This role goes beyond traditional sales management the Director will shape and execute the secondary market commercial strategy, end-to-end unit lifecycle management, strengthen stakeholder relationships, and align operations with Kaizen’s long-term business objectives. You will lead a high-performing team, nurture B2C client relationships , and collaborate cross-functionally to deliver seamless property transactions, superior unit performance, and exceptional client experiences. Key Responsibilities Unit Portfolio Performance Develop and execute secondary market strategies for resales, off-plan resales, leasing, and unit disposition — driving transaction volume, market share, and revenue Own end-to-end unit portfolio management: inventory oversight, valuation, pricing, marketing readiness, and lifecycle optimization from listing to close Maximize asset value, minimize holding periods, and optimize yield through data-driven pricing, targeted promotion, and timely disposition Monitor UAE/GCC market trends, supply-demand dynamics, regulatory updates, and competitor activity to inform pricing and positioning Track portfolio KPIs: sales velocity, days on market, price realization, lease renewal rates, vacancy, and revenue per unit B2C Growth & Platform Services Own full P&L, revenue targets, client satisfaction, and profitability for the B2C homeowner division Design and execute acquisition, engagement, and monetization strategies anticipating key lifecycle moments (ready to sell, revalue, lease, renovate) to deliver timely, trusted solutions Build, scale, and optimize a partner-led service marketplace; onboard, manage, and assure quality across provider networks Leverage existing developer, property manager, and owner relationships to accelerate growth ahead of competitors Define commercial models, pricing, and service standards; oversee end-to-end client experience and recommend strategic adjustments (expand, refine, or pivot) based on performance Client, Stakeholder & Relationship Management Build and maintain trusted relationships with individual homeowners, buyers, tenants, investors, developers, brokers, and institutional partners Drive client retention, repeat business, and referrals through proactive engagement, transparent communication, and personalized guidance Lead commercial negotiations, valuations, listing agreements, tenders, and complex transactions — tailoring solutions to individual client needs Represent Kaizen as a market expert; uphold service excellence and trust across all client interactions Operational Excellence & Process Leadership Establish clear KPIs, accountability frameworks, and reporting standards across transactions, listings, portfolio performance, and client satisfaction Continuously refine end-to-end journeys — from inquiry → consultation → valuation → transaction → post-closing support & services Leverage CRM, analytics, valuation tools, and digital solutions to boost productivity, market intelligence, and client engagement People Leadership & Culture Lead, mentor, and develop a high-performing team across secondary market sales, unit management, and B2C services Set clear objectives, coach for results, and nurture expertise in transaction excellence, B2C relationship-building, and service delivery Foster a collaborative, client-first, high-performance culture; role-model Kaizen’s values and leadership standards Requirements Bachelor’s degree in Business, Finance, Real Estate, or related field; MBA or advanced degree preferred Significant leadership experience in secondary market sales, property transactions, portfolio management, B2C growth, or marketplace/platform businesses Deep proven knowledge of the UAE/GCC real estate market , regulations, valuation practices, and transaction workflows Strong B2C track record : successfully advising individual owners, buyers, and tenants; building trust, explaining complex processes clearly, and delivering high satisfaction Proven ability to grow revenue, optimize portfolios, and scale service lines with measurable results Experience building partner ecosystems, marketplace models, or platform-led services Established network across developers, investors, property owners, brokers, and key stakeholders in the UAE/GCC Strong commercial acumen: P&L ownership, pricing strategy, forecasting, negotiation, and stakeholder management Fluent English; Arabic is a strong advantage Strategic thinker who translates vision into actionable plans and measurable results

Location: Mexico; Costa Rica; Brazil; Jamaica; Pakistan Job Type: Full-time Location: Remote (working hours within PST/EST) About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Job Summary We are looking for a high-performing Senior SDR to join a well-established industry leader with over 15 years of proven success. This role is perfect for a strategic communicator who understands the nuances of the US Tax and Accounting landscape. You will be responsible for introducing cutting-edge Data and AI-powered tools to professional services firms, helping them modernize their workflows. If you are a coachable, determined professional looking for a structured environment with a clear path to leadership, this is the place to build your career. Key Responsibilities Conduct approximately 50 high-quality outbound calls per day to key decision-makers within the US market. Generate and qualify a minimum of 10 new outbound opportunities per month. Execute a sophisticated sales methodology within a mature, process-driven environment. Maintain rigorous pipeline management and activity tracking using Salesforce. Collaborate with Account Executives to ensure a seamless transition of qualified leads. Actively participate in coaching sessions to refine your pitch and industry knowledge. Requirements Must be able to work US Time Zones (EST/CST/PST). Advanced English fluency with an American accent. Proven experience selling into the US market. Proficiency with Salesforce CRM. Prior experience in the Tax or Accounting industry. Deep understanding of industry-specific pain points for CPAs and tax professionals. Experience selling SaaS, specifically Data or AI-powered solution Benefits 💰 Competitive base salary 🚀 Defined career path toward Team Lead and Management roles 🛠️ Access to mature processes and proven sales methodologies 🌎 Remote flexibility within required time zones

Location: Chicago, United States Workplace: remote What You'll Do Lead new business development for AI Digital’s Smart Supply offering, with a focus on holding companies and their agencies. Build relationships with media planners, buyers, programmatic and investment teams, and senior media leaders. Identify new opportunities through outreach, networking, meetings, and industry events. Turn account segmentation and mapping into clear sales and outreach plans. Manage and develop an initial team of three BDRs, with the potential to grow the team. Improve sales processes, strategies, and best practices for the Smart Supply business development function. Partner with Revenue, Growth, Strategy, and other internal teams. Represent AI Digital at client meetings and industry events, with regular travel to key markets. What You Bring Strong business development or sales experience in ad tech, programmatic advertising, digital media, or a related field. Proven success generating new business and building a sales pipeline. Experience selling into major holding companies and navigating agency structures. Strong understanding of media planning, buying, programmatic, and investment teams. Experience managing and developing a business development or sales team, ideally with 3–4 direct reports. Ability to build strong relationships with senior stakeholders and key decision-makers. A proactive hunter who can create and execute effective sales strategies. Strong communication, presentation, and negotiation skills. Willingness to travel regularly. Must be based in Chicago, New York, or Los Angeles. What You Get Competitive salary that values your expertise. ‍ Work from anywhere: fully remote to suit your lifestyle. ‍ Unlimited PTO that we actually encourage you to use — for adventures, recovery, or just because. Growth-focused environment : access to learning resources and clear pathways for growth. Fun team events: from virtual pasta-making to yoga sessions, we make remote feel close. A culture of trust: we cut the red tape — open talk, ownership, and getting things done together. Results over rules, always. Health insurance and ClassPass coverage: supporting your well-being both inside and outside of work. Reimbursement of work-related commute expenses. ‍ Hiring Flow Screening Interview (up to 45 minutes): initial conversation with a recruiter. Initial interview with the hiring manager (up to 30 minutes): a meeting with Cole Crawford to assess team fit and discuss role-specific responsibilities, expectations and workflows. Interview with SVP of Revenue Operations and Business Development (Up to 30 minutes): meet with James Long for an in-depth discussion of your experience and skills. Final interview with CRO. Offer: if successful, you’ll receive an offer to join our team.

Location: San Francisco, CA | Seattle, WA 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 We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems. Responsibilities Revenue Platform Architecture & Development Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models Data Engineering & Pipeline Orchestration Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements Systems Integration & Technical Leadership Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes Innovation & Continuous Improvement Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics Evaluate and implement emerging technologies to modernize integration architecture Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards Mentor team members on technical best practices, code reviews, and documentation standards Minimum qualifications Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses) Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606) Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions Track record of leading technical workstreams during ERP transformations or major system migrations Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams Preferred qualifications Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-party transaction data Technical expertise with iPaaS platforms (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event-driven architectures) Experience leveraging agentic development workflows Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field Hands-on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards 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: $270,000 — $315,000 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. 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; New York City ABOUT THE ROLE The AI Acceleration team’s mission is to make Perplexity the best place to build and ship software with AI agents. We build the infrastructure that engineers and agents rely on, and develop new ways for agents to write, test, review, and ship code. Our work helps teams move from an idea to production faster, without compromising quality or reliability. We own the end-to-end development experience at Perplexity, from the environment where code is written to the systems that ship it to production. That includes local and cloud coding environments, build and test infrastructure, code review, and release management. We’re also building autonomous software development systems, where agents take on increasingly complex engineering work with explicit evaluation, verification, and safety controls. We own both the infrastructure these systems depend on and the workflows that make them useful. As an AI Acceleration Engineer, you’ll turn emerging agent capabilities into dependable systems used across Perplexity. You’ll work directly with engineers to understand where development slows down, experiment with new approaches, and take promising ideas through to production. This role combines systems engineering, developer experience, and hands-on agent development, with a direct measure of success: helping teams spend less time on delivery overhead and more time building products. RESPONSIBILITIES - Identify, prioritize, and deliver the highest-impact opportunities to accelerate how Perplexity builds and ships software with AI. - Work directly with engineering and business teams to understand their workflows, constraints, and bottlenecks, and build solutions that address how they actually work. - Build and operate the infrastructure that engineers and agents depend on, including development environments, build and test systems, code review, and release tooling. - Make our codebases, systems, and internal knowledge easier for agents to navigate, understand, and use through better tooling, interfaces, documentation, and context. - Take agent-driven workflows from prototype to production, building the evaluations, verification, and controls needed to delegate increasingly complex engineering work safely. - Improve delivery speed and software quality together. Measure the impact of your work on development time, review effort, and production reliability, and use those results to guide what comes next. - Evaluate emerging models, tools, and approaches through hands-on experimentation. Turn the evidence into clear technical decisions, and drive adoption of the technologies that prove useful. - Use AI extensively in your own engineering work, share what works, and help colleagues adopt effective practices. Partner with engineering leadership and recruiting to strengthen how we hire and develop engineers who work effectively with AI. QUALIFICATIONS - 5+ years of software engineering experience, ideally with substantial work in infrastructure, platform engineering, or developer productivity in technically complex environments. - Daily, hands-on use of AI models and coding tools, with practical judgment about where they perform well, where they fail, and how to verify their output. - Strong proficiency in one of the languages – Python, Go or Rust, along with the willingness to learn other languages as the work requires. - Broad familiarity with the systems used by AI product and applied research teams, including cloud infrastructure, distributed systems, data pipelines, and ML tooling. You don’t need deep expertise in every layer, but you should understand how they fit together. - An ability to understand how engineers and researchers across disciplines work, paired with curiosity about the needs of business and operations teams. You build tools around users’ actual workflows and constraints. - A drive to make codebases, systems, and processes easier to understand, operate, and change. You look for ways to replace brittle workflows and implicit knowledge with clear interfaces and reliable automation. - Sound technical judgment about when to experiment, when to commit, and when to ship a pragmatic solution. You can balance immediate delivery with investments that make future work faster and more reliable.

Location: New York HQ Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE We’re hiring a GTM Engineer to build the data, systems, and growth infrastructure behind Avoca’s next stage of growth. Our ambition is to build a world-class GTM engine. We’re looking for someone excited to build AI-powered systems that give a small team enormous leverage and have an outsized impact on revenue. You’ll build the engine behind our outbound motion: mapping and enriching our target market, finding the signals that indicate which accounts are most likely to buy, and turning those signals into relevant outreach and timely action for our Sales team. You’ll also build and scale our autonomous outbound email program from the ground up, using AI-powered workflows to run personalized campaigns to thousands of accounts, while maintaining strong sending infrastructure and deliverability. Beyond outbound, you’ll build the data pipelines, integrations, automations, and internal tools that make our Growth and Sales teams more effective. This is a builder-operator role: you’ll put the systems you create into practice, learn from their performance, and keep improving them. We’re looking for someone with the technical ability to build complex systems and the commercial judgment to focus that work on qualified pipeline and revenue. You’ll report directly to the Head of Growth and work closely with Sales and RevOps to turn better data, signals and workflows into pipeline. WHAT YOU’LL DO - Build, run, and scale our autonomous outbound email engine end-to-end: from campaign strategy and execution to sending infrastructure, deliverability, measurement, and optimization — turning it into a major source of qualified pipeline - Build and ship AI agents and GTM workflows for prospect research, account prioritization, personalization, content development and other repeatable work; continuously identify new opportunities to automate and expect to launch new agents regularly - Map and enrich Avoca’s total addressable market, building the reliable account and contact data that powers our campaigns and outbound SDR motion - Identify, test, and activate buying signals that surface the right accounts at the right time and trigger relevant outreach or rep action - Build the integrations, automations, and internal tools that connect our data sources, CRM, enrichment providers, outbound platforms, and Sales workflows - Partner closely with SDRs, Sales, and RevOps to improve targeting, lead routing, rep productivity, and the conversion of signals into pipeline - Evaluate our GTM technology stack and decide what to buy, build or automate WHAT YOU’LL BRING - 3+ years of experience in GTM engineering, growth ops, outbound, or another technical GTM role in a B2B environment - A track record of building and operating large-scale outbound email programs that generated qualified pipeline - Deep knowledge of outbound infrastructure and deliverability, including domain and inbox provisioning, authentication, warm-up, rotation, bounce management, and sender reputation - Demonstrated expertise building AI-powered workflows for research, segmentation, personalization or campaign execution - Hands-on experience building sophisticated workflows in tools such as Clay, Claude Code, n8n, Make, Zapier, Smartlead, or similar platforms - Strong technical foundations and comfort working with APIs, webhooks, data integrations, and conditional logic; working knowledge of SQL, Python, or JavaScript - Experience building, enriching, and maintaining large account and contact datasets using multiple data providers and enrichment waterfalls - Strong commercial judgment and the ability to turn customer, market, and behavioral data into repeatable growth systems that create pipeline WHO YOU ARE - You’re a builder who wants to own both the system and the business outcome - You combine technical depth with commercial instinct and can move comfortably between building AI-powered workflows, campaign strategy, and pipeline review - You’re deeply curious and enjoy uncovering unconventional data, signals, and workflows that create alpha - You move quickly, test pragmatically, and make good decisions without waiting for perfect data or an established playbook - You’re rigorous about the details - You build for the people using your systems and work closely with Growth, Sales, and RevOps to understand what they actually need - You’re high-agency, resourceful, and excited to work in person in NYC with an ambitious team that moves quickly and holds a high bar BONUS POINTS - Experience building signal-based outbound for a mid-market sales motion - Experience supporting or working closely with a scaled SDR organization - Experience in vertical SaaS, home services, or another market with a large, identifiable universe of target businesses - Experience building agentic workflows, AI-powered internal tools, or autonomous GTM systems from scratch   BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Company-wide off-sites - Monthly wellness stipend - Daily in-office lunch through Parkday - Dinner covered when working late - Commuter benefits and late-night rideshare - Standing desks and workspace accommodations available on request - All core tools and software provided   Compensation: The expected on target earnings for this role is $160,000-$210,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca’s total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process. WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.