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Location: MinIO Bay Area MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We are seeking a technical, entrepreneurial Sr Regional Sales Manager to build and close transformative enterprise business in the Northern California region. You will own a territory and the full sales cycle, from account prioritization and pipeline creation through technical validation, quantified business value, executive alignment, negotiation, and close.MinIO's technical credibility opens doors, and your job is to turn it into predictable growth. What You Will Do Own your territory and the full sales cycle: account prioritization, direct outreach, discovery, technical validation, quantified business value, executive alignment, negotiation, and close. Build new franchise accounts by landing complex enterprise opportunities and creating credible expansion paths across workloads, business units, and regions. You may also inherit  existing accounts with meaningful upsell and cross-sell potential. Lead technical and vision selling across storage, data infrastructure, lakehouse, AI/ML, analytics, and HPC environments, translating architecture into quantified customer outcomes. Control POCs and POVs with clear success criteria, and build business cases that give buyers a reason to act now. Compete against legacy storage vendors, cloud alternatives, direct competitors, and the status quo by shaping decision criteria early. Build champions and executive relationships, and navigate security, procurement, finance, and multi-stakeholder buying committees. Orchestrate Solutions Engineering, product, executive, and partner resources through close and expansion. Keep disciplined account plans, a current CRM, realistic close dates, and forecasts grounded in buyer evidence. A sustained record of enterprise quota attainment and personally led new-logo wins, with 7+ years of direct enterprise quota-carrying experience preferred. Experience closing multiple technical enterprise deals and carrying a $1.5M+ quota (or comparable responsibility). Experience as one of the first one to three sellers building a region, segment, or new-market account focus at an early-stage or category-building company. Technical credibility in storage, object storage/S3, data infrastructure, data lake/lakehouse, AI/ML, analytics, HPC, or adjacent platforms. A repeatable, metrics-based approach to direct outreach, territory building, and pipeline creation including effective partner co-selling. Skill in technical validation, value selling, competitive displacement, executive access, and complex negotiation. Entrepreneurial ownership combined with disciplined forecasting, account planning, and collaboration. Your Skills and Experience Direct object-storage and S3 ecosystem experience. AI/ML, lakehouse, analytics, or HPC workload experience. Co-sell experience with cloud, channel, OEM, or alliance partners. Experience displacing legacy storage or incumbent infrastructure vendors. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Remote - Colombia Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Compliance Operations Specialist About the job This role is part of Twilio’s Compliance Operations team, which helps ensure that customer activity on our platform follows industry rules and Twilio’s internal policies. You’ll be responsible for reviewing alerts and account activity for Messaging and Voice traffic to assess whether it complies with Twilio’s Voice Policy, Messaging Policy, Acceptable Use Policy, and relevant regulatory requirements across global carrier networks. When non-compliant activity is identified, such as messaging that violates local telecom rules or improper use of voice services, you’ll work with customers to explain the issue and guide them toward a compliant solution. In some cases, you’ll also take enforcement action to stop the non-compliant activity from continuing on Twilio’s platform. This is an analytical and communication-heavy role that requires strong judgment, attention to detail, and the ability to work through ambiguous situations. You’ll be expected to make informed decisions and explain those decisions clearly to customers, even when the guidance may not always be black and white. We’re looking for someone who enjoys digging into complex issues, learning how global telecom regulations apply to real-world traffic, and helping customers understand how to stay compliant. The ideal candidate is curious, investigative by nature, and comfortable with both independent research and customer-facing communication. Responsibilities In this role, you’ll: Investigate potential violations: Review account activity, messaging behavior, and data to identify signs of abuse or misuse. You'll be trained to spot red flags and patterns linked to spam or scams, and take quick action to mitigate risk. Stop bad actors before they cause harm: You'll use internal tools and available data to find and shut down non-compliant activity that could negatively impact Twilio’s customers or consumers who receive unwanted calls or texts. Communicate directly with customers: A major part of the job is customer-facing, primarily through email via our ticketing platform Zendesk. You'll notify customers of policy violations, provide them with clear guidance on how to fix issues, and sometimes inform them that their access to Twilio is being restricted or terminated. Analyze trends and prevent future abuse: Go beyond individual cases by recognizing recurring themes, identifying root causes, and helping recommend long-term solutions to keep bad actors off the platform. Work with data: You’ll regularly examine call and messaging records to trace activity, identify patterns, and support enforcement decisions with evidence. Support global impact: The work you do directly affects businesses, mobile carriers, and end users around the world. Your decisions may impact high-profile brands and millions of consumers globally. Prioritize clarity and accuracy: Because most communication is written, especially through email, you’ll need strong writing skills to explain policy violations and technical details in a way that customers understand and can act on. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Willingness to work a non-traditional schedule; weekends, holidays and evenings may be required Experience working in a fast paced, ambiguous environment, with a strong bias for action You’re empathetic and love working with customers and carriers to solve their problems and questions, backed with data You are detail-oriented with good organizational skills and comfortable with ambiguity You have above average written and verbal communication skills and are able to articulate concepts/ideas in a clear, concise manner You are willing to collaborate with communications partners and players in the industry to resolve issues, troubleshoot, and build trust You have the ability to make sound decisions in a fast paced environment You have good time management and organizational skills and are comfortable working under pressure Excellent written communication skills in English Desired: Basic knowledge of using spreadsheets including formulas. Have 1-2 years experience in fraud, abuse or compliance in ecommerce, FinTech, or telecommunications. 1-2 years experience working in a queue based environment triaging and resolving tickets. Location This role will be remote, and based in Colombia. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: India - Remote About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Strategy and Operations Associate Location: Remote Employment Type: Full-time Experience Level: Associate-level; 3+ years preferred Work Model: Fully remote, five-day workweek, with flexible working hours. As a Strategy and Operations Associate, you will support initiatives that drive strategic and operational excellence across Turing. You will gain hands-on experience with high-impact projects, cross-functional collaboration, data analysis, process improvement, and exposure to senior leaders. This is an opportunity to build a strong foundation in strategy and operations while making a meaningful contribution from day one. As a Strategy and Operations Associate, You Will Support Strategic Initiatives Assist with research, analysis, planning, and execution across one or more strategic initiatives. Analyze Data and Performance Conduct detailed data analysis, identify trends, track performance metrics, and develop insights that inform decision-making. Drive Project Execution Create project plans, define success metrics, monitor milestones, and help teams stay aligned on priorities and outcomes. Improve Processes Identify challenges, help develop solutions, and contribute to process improvements across the organization. Communicate Progress Prepare reports, presentations, and dashboards that clearly communicate progress, insights, and outcomes to leadership. The Opportunity Learn at high speed: Work closely with experienced leaders and gain exposure to strategy, operations, data, product, engineering, and go-to-market functions. Create structure from ambiguity: Help turn complex questions and evolving priorities into clear analysis, plans, and actions. Work across the company: Collaborate with GTM, product, engineering, and data science teams to move important initiatives forward. Make an impact early: Take ownership of meaningful work and contribute to Turing’s growth from day one. Our Strategy and Operations Associates Typically Have Strong problem-solving skills: The ability to break down complex challenges, bring structure to ambiguity, and develop practical solutions. Data-driven judgment: The ability to analyze data, uncover trends, and inform decisions without becoming stuck in analysis. Clear communication: Strong written and verbal communication skills and the ability to work effectively with diverse stakeholders. Cross-functional collaboration: The ability to build relationships, work across teams, and align stakeholders around shared goals. Bias for action: Initiative, organization, and the ability to move work forward in a dynamic, fast-paced environment. Top-Tier Candidates Will Have Three or more years of experience in strategy, operations, analytics, or a related role at a high-growth startup or consulting firm. Familiarity with project management, business operations, or analytical work. Strong proficiency in Excel or Google Sheets. A strong academic background or demonstrated excellence in a relevant field. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Australia Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is launching a Professional Services organization to accelerate customer success, reduce time-to-value, and drive enterprise adoption for agentic workloads. As a Principal Solution Architect, you'll play a critical role in building and scaling this function. You will join a team of seasoned experts with deep experience backed by Docker's unmatched reach across Fortune 500 companies.   This is a high-visibility role working directly with senior leadership across revenue, product, marketing, and partner organizations. You'll shape service strategy, drive cross-functional alignment, and deliver offerings that accelerate both services revenue and platform expansion.   You'll serve as a trusted advisor to our largest and most strategic partners and enterprise customers, providing thought leadership on integrating Docker agentic solutions within enterprise environments. _______________________________________________________________________   RESPONSIBILITIES Build and Scale the Professional Services Practice - Develop and codify repeatable reference architecture patterns across Docker's core use cases including self-hosted and air-gapped deployments, MCP (model context protocol)/AI agent environments, IDP integrations, and secure supply chain workflows so that engagements scale consistently across customers and partners. - Translate reference architectures into customer-facing technical collateral, SOW templates, and success patterns that reduce scoping time and improve delivery consistency. - Collaborate with product, marketing, and revenue teams to integrate services into GTM motions and align delivery to Docker's AI platform roadmap. - Identify offerings that drive product expansion, renewals, and long-term customer value. - Support Partnerships & Alliances in selecting, onboarding, and enabling technical integration partners, system integrators (SIs), and service delivery partners. Drive Strategic Customer Outcomes - Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains. - Lead technical discovery and architecture engagements that span enterprise integration layers - Architect and deliver self-hosted Docker deployments within air-gapped, regulated, and complex enterprise environments including local image registry setup, offline toolchain configuration, and compliance-driven infrastructure design. - Design and Guide customers through implementation of agentic AI toolchains, including MCP server/client architecture, tool orchestration, observability integration and secure deployment patterns aligned to Docker's AI platform. - Position Docker as a strategic and thought leadership partner, influencing long-term technology adoption and investment decisions. - Directly deliver or assign and oversee appropriate delivery partners to execute service engagements and ensure technical objectives are met. Enable Cross-Functional Success - Drive alignment and decision-making across multiple stakeholders and teams without direct reporting lines. - Translate field insights including enterprise integration patterns, IDP/SSO friction points, observability gaps, and AI deployment challenges into actionable product and services strategy, roadmap, and partner capabilities. _______________________________________________________________________   QUALIFICATIONS REQUIRED - 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm. - Demonstrated experience architecting and deploying self-hosted and air-gapped deployment architectures: local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints common in regulated industries. - Enterprise integration experience across Identity Providers (Okta, Azure AD, LDAP/Active Directory) and federated identity protocols (OIDC, SAML, SSO), including RBAC design within complex, multi-tenant enterprise environments. - Working knowledge of Model Context Protocol (MCP) and its application to agentic AI toolchains including MCP server/client architecture, tool and resource orchestration, and secure containerized deployment patterns. - Hands-on experience with AI/ML workflows, LLM deployment, and agentic AI architectures in enterprise environments with awareness of Docker's AI platform roadmap including AI agent containerization, model provenance, and AI supply chain security. - Deep understanding of container and software supply chain security: Docker Hardened Images (DHI), Secure Supply Chain (SSC), SBOM generation, image signing and attestation, vulnerability management, and runtime governance. - Excellent facilitation and stakeholder management skills; able to lead executive-level architecture conversations and influence senior stakeholders without formal authority. - Direct experience delivering high-quality services engagements that achieve customer value while meeting revenue and ARR growth targets within a revenue organization. - Recognition by enterprise customers as a strategic technical advisor. BONUS - Experience architecting AI platforms in large enterprise environments LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chain patterns. - Background enabling system integrators, consultancies, or partner ecosystems. - Consulting experience with Fortune 500 clients in highly regulated sectors such as financial services, healthcare, or government. - Led AI security architecture engagements that addressed model provenance, artifact signing, and supply chain integrity for containerized AI workloads including secure MCP server deployment, tool and resource access controls, secrets management within agentic pipelines, and runtime isolation patterns for LLM-based applications. _______________________________________________________________________   WHAT TO EXPECT FIRST 30 DAYS - Onboard to Docker's mission, values, and operating model. - Deeply familiarize yourself with our product portfolio, AI platform roadmap, and strategic customers. - Build strong partnerships with Product, Engineering, and Sales functions. - Plug into the team's rhythm of business (standups, reviews, shadow customer engagements). FIRST 90 DAYS - Scope, define SOWs, delivery, and oversight of customer service engagements. - Participate in the creation of reference architectures for key use cases.. - Participate in initiatives to build out and improve the services department's offerings. ONE-YEAR OUTLOOK - Successful delivery and oversight of customer service engagements. - Contribute materially to the build-out of Docker's service offerings across AI, security, and enterprise integration practices. - Institutionalize continuous improvement by providing field feedback including enterprise integration patterns, deployment blockers, and observability gaps to the product team.   Visa sponsorship: Not available for this role. ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Remote (US); Remote (Canada); San Francisco, CA; New York, NY (HQ); Toronto, ON; Miami, FL Workplace: Remote ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a Solutions Consultant at Ramp, you will play a crucial role in establishing and nurturing partnerships with potential customers. This involves building trust and confidence through expert demonstrations of Ramp's products and a deep understanding of our prospects' needs. Collaborating closely with Account Executives, Customer Success, and Account Management teams, you will prioritize and develop financial solutions for Ramp's key customers, ensuring that the product aligns with their evolving requirements. Acting as technical and financial experts, you will design integrated solutions, provide strategic advice to prospects, and facilitate communication between internal technical teams and prospects. Solutions Consultants drive customer success from deal evaluation to product activation, influencing product development to continually enhance Ramp's value proposition. This role requires strong technical skills, alongside strong presentation and value selling skills. WHAT YOU’LL DO - Collaborate with Ramp Account Executives to showcase technical accounting features and benefits through customized product demos, workflow illustrations, and promoting Ramp’s value proposition - Develop tailored product solutions based on a deep understanding of integration and configuration options, ensuring effective alignment with customer needs - Partner with Sales, Product and Partners to advocate for integration development in-line with customer needs - Support Sales and Post-Sales teams in executing advanced technical and accounting implementations for Ramp - Evaluate customer requirements for new opportunities, determining Ramp's suitability through use-case analysis, ROI assessments, and technical evaluations during customer discovery - Work alongside Product, Product Marketing, and Product Operations to create and maintain technical assets and an internal knowledge base of customer use cases and best practices WHAT YOU’LL NEED - 2+ years of experience in Solutions Consulting, Sales Engineering, Solutions Architecture, or similar customer-facing roles, focusing on implementing business SaaS solutions and utilizing APIs, preferably within the financial sector - Bachelor's degree in computer science, engineering, business, finance, accounting or related field - Proficiency in IdP, HRIS, and/or ERP solutions - Expertise in accounting systems, controllership needs, and finance/accounting workflows - Exceptional organizational, project management, and time management abilities - Strong skills in engineering, system design, and technical specification writing - Proactive mindset, adaptability, and comfort in a fast-paced, high-growth startup environment For candidates located in NYC or SF, the pay range for this role is $128,000 - $176,000. For remote candidates located in all other locations, the pay range for this role is $115,000-$159,000. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Poland; Spain Workplace: remote 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. About the Role Finom is growing fast, and our Transaction Monitoring team is growing with it. We're looking for an experienced AML analyst to join us and help protect Finom and our customers from financial crime. In this role, you'll review transaction monitoring alerts, work out why an alert triggered on an account, and investigate potentially suspicious activity. You'll then decide whether the behaviour is genuinely suspicious and whether it warrants a SAR filing or offboarding the customer. Your judgement is the heart of the job. This is an investigations role, not a box-ticking one. After a structured ramp-up period, you'll make most decisions on your own and manage your own workload. Alongside your core queue work, you'll have chances to contribute to projects that improve how the team works, from process improvements to automation and AI-enabled workflows. You'll join a team that is at the cutting edge of AML operations technology. Over time, you can take on broader responsibilities and move into more senior roles. Finom is constantly evolving, and people who do well here find that opportunities come quickly. What You Will Be Doing Review and investigate transaction monitoring alerts, understanding what triggered each one and what the account activity tells you Assess whether the behaviour is suspicious and decide on the right outcome, including SAR filing and/or customer offboarding Escalate cases to Second Line of Defence (2LOD) during your ramp-up period, and then make more independent decisions as your experience with our processes grows Manage your own productivity and meet your quality and productivity targets, taking initiative to keep the queue moving Contribute to team and department projects as your experience grows, including process improvements, automation and AI initiatives Over time, take on additional responsibilities, such as reviewing alerts on accounts flagged by Sales or Account Management and handling JIRA escalations from other teams Work with colleagues across product, legal and compliance, and help make sure our approach balances regulatory compliance with a good customer experience What your first months look like: The first two weeks cover Finom onboarding and Transaction Monitoring training. We expect you to be fully meeting your productivity and QA targets by around three months. What you bring You have at least two years of experience as an AML or fraud analyst in an anti-financial crime operations team You have a solid grasp of AML typologies and concepts that goes beyond "how we did it at my last company". You understand the bigger picture of financial crime and why controls exist You've worked in a fast-paced, high-volume operations environment and you thrive in it You can take ownership: you manage your own workload, make sound decisions with the information you have, and keep going without needing constant direction You're comfortable with change. Our processes and priorities evolve as we grow, and you see that as an opportunity You communicate clearly in writing, and can explain your reasoning for a decision so that others can follow and review it Nice to Have Experience using AI in your personal or professional life, especially if you've built it into your own workflows. We're keen to hear how you've used it Experience coordinating with other teams, such as product, legal and compliance Experience in a fintech, payments, crypto or similar fast-moving financial services environment Why Join Finom Real room to grow. Strong performers can move into different or more senior roles after their first year, and your scope grows with your skills Technology that matters. You'll work at the cutting edge of AML operations, including automation and AI, and you'll have the chance to shape how it's used A balanced approach to risk. We take compliance seriously, and we also care about our customers' experience, so you'll make decisions that weigh both. If you want to see the impact of your judgement, you'll like it here A team that values initiative. We trust people to own their work, and we reward those who do We welcome applications from people of all backgrounds, and we encourage you to apply even if you don't tick every box. The Interview Process 30 min Screening Call with our Recruiter 45-minute interview with one of our Team Leads Case Study + 1 hour Panel Interview with the Team 20 min Final Interview with our Team Manager 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products. WHAT YOU'LL DO - Scale document ingestion and processing that is growing at 10x every 6 months - Design massive data collection from over 50+ legal jurisdictions - Build government-level security for top governments and firms - Lead projects that delight customers in bringing AI to web, desktop, mobile, Google Docs, MS Word, and API experiences. - Build AI-platform and AI-native features like agentic orchestration layers, tool calls, and retrieval systems. - Ship across the full stack—leveraging React and TypeScript on the frontend alongside Python and Postgres on the backend—to architect intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows. WHAT YOU HAVE - 10+ YoE (post-BS/MS) in a product focused full-stack software engineering role. - Experience with React, Typescript, CSS (we use TailwindCSS), Python, or related. - Track record of building fast-growing SaaS products. - Track record of shipping highly intuitive products, strong attention to detail. - Experience building scalable and extensible solutions across the stack that can support multiple product lines. - Strong programming skills and general Computer Science knowledge. - Grit - experience working at early-stage startups is a plus. COMPENSATION $231,000 - $314,350 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-NG1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: United States Workplace: Remote We are committed to providing our customers with reliable and secure services so we are building out our newly formed Site Reliability Engineering team. As one of the first joiners to our Reliability Engineering Team at ClickHouse, you will be responsible for building and leading processes to ensure the reliability, availability, scalability, and performance of our cloud infrastructure that runs ClickHouse databases. You will collaborate with different teams like Control Plane, Dataplane, Core, Security, Support and Operations and guide them to design and implement scalable, secure, highly available and fault-tolerant distributed systems. You will also own the areas of incident management and response, post-mortem analysis including running blameless postmortems, and continuous improvement of our ClickHouse services. You will be leveraging your software engineering expertise to develop software platforms and tools to optimize the operational and engineering efficiencies of ClickHouse Cloud. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, serverless ClickHouse Cloud. What will you do? - Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse. - Establish and manage service level objectives (SLOs) and service level agreements (SLAs) for ClickHouse Cloud. - Ensure all the infrastructure components in ClickHouse Cloud (including Dataplane, Control Plane and ClickHouse Core) have monitoring and alerting in place to ensure timely detection and resolution of incidents. - Enhance and refine incident response processes and post-mortem analysis for any outages in ClickHouse Cloud including working with the support team to communicate to the impacted customers. - Continuously improve the reliability and performance of our ClickHouse services. - Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities. - Manage on-call processes to respond to performance and reliability issues, and establish best practices for coordinating escalation to resolve issues and minimize downtime. About you: - Bachelor’s or Master’s degree in Computer Science or a related field. - At least 8 years of experience in Site Reliability Engineering or a related field. - Previous experience using ClickHouse in production.  - Hands on experience with Go and/or Python.  - Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform. - Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus. - Hands on experience with container orchestration tools such as Kubernetes or Docker Swarm. - Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet. - You are a strong problem solver and have solid production debugging skills. - You are passionate about efficiency, availability, scalability, and data governance. - You thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward. - You have a high level of responsibility, ownership, and accountability. - Excellent communication and interpersonal skills.   #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Intermediate Fullstack Engineer on GitLab's Subscription Lifecycle team within Monetization, you'll build the frontend experiences and backend services customers use to view and manage subscriptions, renew products, configure auto-renewal, and manage billing accounts. Your work will span renewals, overages and reconciliations, subscription visibility, and budget and reservation management, keeping subscription, billing, and account data accurate and reliable. Because these workflows directly affect revenue, customer access, and financial information, you'll use technical judgment, safe and iterative rollouts, and a high bar for reliability and correctness. Some examples of our projects: Building a clear, reliable subscription view across the Customers Portal and related surfaces Improving manual renewal and auto-renewal flows, including supporting emails, banners, and account experiences What you'll do Design and build fullstack features across the post-purchase subscription journey. Contribute to the technical design and implementation of new subscription lifecycle capabilities. Partner with Product and Design to translate renewal, billing account, and customer experience requirements into resilient, well-tested solutions. Integrate subscription lifecycle workflows safely with billing, customer account, and internal admin systems. Write maintainable, well-tested code and follow engineering practices for rollout safety and monitoring. Participate in code reviews and provide thoughtful, constructive feedback. Identify and reduce technical debt and architectural risk in the subscription lifecycle. Participate in incident response for subscription and renewal issues, given their potential impact on revenue and customer access. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Professional experience as a fullstack engineer and confidence working across frontend and backend code. Our purchase applications use Ruby on Rails (Must have) and Vue.js. (preferred) or React. Experience owning technical direction for a product area, including proposing, discussing, and driving thorough, iterative solutions. Experience building or maintaining transactional or checkout-style flows, ideally in a billing, ecommerce, or subscription context. Familiarity integrating with third-party billing or customer relationship management systems, such as Zuora, Salesforce, or Stripe, is a plus, not a requirement. A focus on safe, incremental delivery given the revenue and customer impact of this work. The ability to communicate clearly and concisely about complex technical, architectural, and organizational problems and propose thorough, iterative solutions. Written and spoken English proficiency sufficient to collaborate in a remote, largely asynchronous work environment. Alignment with GitLab's values and a commitment to working in accordance with them. About the team The Subscription Lifecycle team is part of GitLab's Monetization section and owns the post-purchase subscription experience. You'll partner with Sales, Finance, Information Technology, and Support on secure, reliable purchasing, billing, provisioning, and utilization workflows, and report to the Engineering Manager, Purchase. The team works asynchronously, with regular planning and retrospectives and shared expectations for deployments, incident management, testing, and rollout safety. GitLab's mission is to enable everyone to contribute and co-create the software that powers our world. The Purchase team's mission is to make it as easy as possible for anyone to buy, add on to, or upgrade GitLab through a single, trustworthy, unified purchase experience. For more on how Monetization works, see the Monetization sub-department handbook . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being All remote, asynchronous work environment Flexible Paid Time Off Team Member Resource Groups Equity Compensation and Employee Stock Purchase Plan Growth and development budget Parental leave Home office support The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,200 — $194,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Leeds, England, United Kingdom; London, England, United Kingdom About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. The role A casino should feel alive. This role is how we do that. A brand campaign film, feature launch animation, in-product motion, and the 3D asset library that increasingly underpins how Casino looks everywhere. You'll be fully integrated with the creative team, shaping ideas in motion from the moment a brief lands. What you’ll do Design and animate motion for brand campaigns, feature launches, social, CRM and in-product promotions.. Build 2D and 3D assets and scenes for game launches, product and brand moments across campaigns. Own a reusable 3D and motion asset library, with templates and rigs the rest of the team can pick up. Refine and apply Casino's motion principles alongside the design team. Storyboard and pitch motion ideas early, shaping concepts while they're still forming. Edit, grade and finish video, including versioning and cutdowns for every channel. Art-direct or work alongside external motion and 3D partners. Make sure disclaimer and responsible gaming messaging in video is legible, correctly timed and on screen long enough to be read comfortably. What you bring 5+ years in motion design and 3D, with a reel that demonstrates both convincingly. Expert After Effects and Cinema 4D skills. Strong design fundamentals:  type, composition and colour,  alongside your animation craft. Fluency in Adobe Creative Suite and Figma, and comfort working inside a design system. The ability to manage several deliverables and render deadlines at once, calmly. Good judgement about where AI video and image tools add real value. Bonus points Sound design or audio finishing. Experience animating app or game UI. Your first 90 days You'll work hand in glove with the internal creative and brand teams, creating high polish animated assets for campaign, paid and organic output. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range £47,000 — £60,000 GBP By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Porto, Portugal Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities As a Junior Site Reliability Engineer (SRE) at TeamViewer, you will help ensure the reliability, availability, and performance of our Azure-based global SaaS platform. Working alongside experienced SREs, you will learn how to operate and continuously improve the systems that power our core products and services, helping to deliver a seamless experience to users worldwide. This is a great opportunity to build your career in reliability engineering. You’ll get hands-on experience with production cloud services, learning the fundamentals of observability, incident response, and automation, with the support and mentoring you need to grow. Help operate and maintain highly available, scalable cloud infrastructure supporting a global SaaS platform, under the guidance of senior engineers Support the deployment of feature and maintenance releases, following established processes to ensure safe and reliable delivery to production Help build and improve monitoring, alerting, and dashboards to support 24/7 service reliability Automate routine operational tasks to reduce toil and improve consistency Join on-call rotations once onboarded, with support from senior team members, helping to investigate incidents and escalating where needed Contribute to post-incident reviews and help identify reliability risks and improvement opportunities Create and maintain runbooks and operational documentation Collaborate with engineering teams to improve platform reliability, security, and operational maturity Support installations on customer environments Requirements D egree in Computer Science, Software Engineering, IT, or equivalent practical experience 0–2 years of experience in SRE, DevOps, system administration, or software development roles (internships, apprenticeships, or personal projects count) Hands-on experience with a public cloud platform, ideally Microsoft Azure (AWS or GCP also welcome) Exposure to Azure application platforms such as Azure Application Gateways and Azure App Services is a plus Familiarity with containers (e.g. Docker); exposure to Kubernetes is a plus Basic understanding of CI/CD concepts and pipelines (e.g. GitLab CI/CD, Azure DevOps) Interest in Infrastructure-as-Code and automation; exposure to tools such as Terraform or Argo CD is a plus Ability to write simple scripts (e.g. Python, Bash, PowerShell) Awareness of Identity and Access Management concepts (e.g. Keycloak, Entra) Basic knowledge of databases (e.g. PostgreSQL, MS SQL) Familiarity with monitoring and observability tools (e.g. Grafana, Prometheus, Datadog) is a plus Some software development experience is beneficial Basic understanding of networking (e.g. DNS, TCP/IP, HTTP) and security principles A proactive mindset, eagerness to learn, openness to feedback, and strong collaboration skills Fluent in English What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Remote in AMER Location: This is a 100% remote role open to those based in the United States. Preference is for candidates based in Eastern Timezone. About the job Testlio’s fully managed crowdsourced testing platform, powered by our proprietary intelligence technology - LeoAI EngineTM, integrates expert, on-demand testers directly into your release process. Ship faster and more confidently with global coverage across 600,000+ devices, 800+ payment methods, 150+ countries, and 100+ languages. To learn more, visit testlio.com . We are hiring a Field Marketing Manager to serve as the critical strategic bridge between Marketing and our high-performing Sales team. In this high-impact role, you will take end-to-end ownership of planning and executing major conference experiences, regional customer events, and targeted multi-channel Account Based Marketing programs that drive pipeline across our highest-priority enterprise accounts. Reporting directly to the Chief Marketing Officer, your operational rigor, creative storytelling, and sales-first partnership will directly expand Testlio’s commercial footprint. What would your day look like? ABM & Sales Alignment: Ongoing targeted campaigns, customized sales support, strategic account engagement, and pipeline acceleration. This person should be a true extension of Sales. Events & Webinars: Full ownership of planning, promotion, and execution of webinars, regional dinners, executive experiences, partner activations, and conferences. Exhibited Conferences: Approximately 4–6 annually, including creative booth design, selecting and sourcing merchandise, brand messaging, vendors, logistics, and onsite execution. Travel: Expected to attend events where Testlio is exhibiting, as well as select major local and regional events to support Sales and ensure successful execution. CAB: Support Customer Advisory Board experiences in partnership with Sales, Product, and Customer Success. Revenue Accountability: Track engagement, qualified opportunities, pipeline contribution, and ROI. Ideal Candidate: Creative, resourceful, AI-forward, extremely detail-oriented, and someone who genuinely loves rolling up their sleeves and executing. What do you need to succeed? Technical Skills 5+ years of demonstrated experience in B2B field marketing, event management, and Account-Based Marketing (ABM) within SaaS, technology, or enterprise tech-enabled services. Proven track record of managing end-to-end logistics, vendor contracts, budgets, and pre/post-event marketing for major exhibited conferences and executive roundtables. Hands-on proficiency with CRM and marketing automation platforms, specifically HubSpot and Salesforce, to manage campaigns, lead routing, and pipeline reporting. Demonstrated ability to measure program performance, track multi-touch attribution, and evaluate ROI and downstream pipeline conversion. Familiarity with enterprise ABM and intelligence platforms (e.g., 6sense, Demandbase, or similar intent data tools) and modern event platforms. Experience leveraging generative AI tools to accelerate research, personalization, and campaign workflow efficiency is preferred. Human Skills Strong sales-first orientation: You proactively anticipate sales needs, communicate with empathy, and take genuine pride in empowering sellers to succeed. High ownership and initiative: You independently identify opportunities, manage complex cross-functional timelines, and ensure critical details never fall through the cracks. Exceptional communication and storytelling: You articulate value propositions clearly across written, verbal, and visual formats to engage executive-level audiences. Cross-functional collaboration: You build trusted working relationships across Sales, Marketing, and RevOps, fostering alignment around shared revenue goals. Adaptability and calm execution: You remain organized, solution-focused, and composed when navigating fast-paced changes and on-site event logistics. Continuous growth mindset: You welcome feedback, experiment with innovative marketing approaches, and continuously refine processes to elevate results. Why will you love this job? Drive high-visibility revenue impact: You will lead high-touch field marketing and bespoke ABM programs that directly generate qualified enterprise opportunities, partnering closely with an agile, AI-forward team where your strategic ideas translate into measurable commercial growth. Full ownership and creative freedom: From designing interactive booth experiences at major industry summits to executing personalized account campaigns for Fortune 500 prospects, you have the autonomy to test, build, and scale world-class engagement playbooks. Why will you love being a part of Testlio? Great Culture : Testlio is a female-founded company, and half of our team identifies as women. We’re proud of our inclusive, purpose-driven culture where people genuinely enjoy collaborating. As part of our team (we call ourselves TestLions), you’ll help create exceptional digital experiences for our customers, while also contributing to our freelance network. Remote Work : Our culture is built around remote work. We’ve created systems to allow us to successfully work together asynchronously as a fully remote and globally distributed team . Testlio provides the tools and guidance for everyone to succeed in their careers in a fully remote setting. Our working style encourages everyone to make decisions, communicate effectively, and work at a sustainable pace. Investment in You : Your growth and well-being matter to us. You’ll have flexible paid time off—including national holidays, personal days, and sick days—plus stock options so you can grow with Testlio. We also provide a $300 annual learning stipend to support your personal and professional development. Winning Business : Testlio is growing, profitable, and cash-strong. We are leading our industry with exceptional clients who provide us with a high NPS score and a 4.7 rating on G2. Our business model is global, enterprise, and subscription-based. Several of our largest clients have been with us for 7+ years, and many spend $500K+/year with Testlio. What is the application process? At Testlio, we aim to hire individuals who are excited about their role, thrive in a fully remote environment, and have strong long-term potential with our team. Because we are a fully distributed company, our interview process includes conversations with several team members so you can get a well-rounded understanding of the role, the people you’ll work with, and how we collaborate. As a result, our interview process typically takes 3–4 weeks to complete. Interview Process: Application Recruiter interview Team and Stakeholder interviews Reference checks Offer & background check Diversity and Inclusion Testlio is an equal-opportunity employer deeply committed to creating an inclusive environment for people of all backgrounds and identities. We are female-founded, and 46% of our team members identify as women. For more information, see the DEI section of our website. #LI-REMOTE

Location: (Multiple States), United Kingdom About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: (Multiple States), Germany About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: (Multiple States), France About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: (Multiple States), Ireland About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: (Multiple States), Spain About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: (Multiple States), Portugal About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement