Вакансии

Location: Remote - Sydney, Australia Workplace: Remote ABOUT YOU: As an Enterprise Account Executive, you'll be building relationships with high-value prospective customers by learning about their organizational structure, influencers, and decision makers. You'll be managing the entire process of the sales cycle and be responsible for negotiating prices and marshaling our engineering and resources to close the sale. You'll learn about our customers' needs and provide continuous feedback to the product team to ensure that we're always building features that our customers find valuable.   ABOUT US: Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick.   ABOUT THE TEAM We're a passionate team that loves challenges and wants to make people’s lives better. We value openness, curiosity, and continuous improvement. We believe that empowering everyone in a company to do what they think is best can lead to great things. REQUIREMENTS You will be successful in this role if you: - Have a minimum of 4+ years of proven experience selling technical commercial or enterprise SaaS solutions, preferred Marketing technology experience - Have a proven track record of meeting or exceeding your sales numbers in a competitive environment - Have experience building consensus and urgency in customers needed to close six-figure deals - Have experience selling SaaS solutions into accounts with 90+ day sales cycles - Can motivate urgency in the customer to reduce the time-to-sale - Are skilled at negotiating business terms with line-of-business, procurement and contract teams, senior management and/or C-level executives - Have a proven ability in managing complex, enterprise sales cycles from start to finish, from business champion to the CEO level – effectively demonstrating the product and the business and economic benefits to each stakeholder - Must have a Bachelor's degree. Previous Sales Methodology training, SaaS Performance Management or Applications experience, and strong customer references preferred BENEFITS - 🏝️ Unlimited vacation time -we strongly encourage all of our employees take at least 3 weeks per year - 💰 A competitive compensation package including stock options - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget for every employee, refreshed each year - 👪 Parental leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact   DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Remote - AMER Workplace: Remote ABOUT US: Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. ABOUT THE TEAM We're a passionate team that loves challenges and wants to make people’s lives better. We value openness, curiosity, and continuous improvement. We believe that empowering everyone in a company to do what they think is best can lead to great things. ROLE OVERVIEW As a Sales Engineer, you will lead the technical components of the sales process. You will partner closely with Account Executives and prospective customers to design integration approaches, evaluate technical fit, and demonstrate how Constructor’s platform drives measurable business impact. This role combines technical architecture design, consultative discovery, and cross-functional collaboration. You will act as a bridge between customer engineering teams and Constructor’s Product and Engineering teams. This is not a demo-heavy role. Account Executives perform the majority of demonstrations at Constructor. This role requires architectural thinking, integration planning, and consultative problem-solving. KEY RESPONSIBILITIES TECHNICAL SALES & SOLUTION DESIGN - Lead technical discovery and solution design for prospective customers - Design and document integration architectures (APIs, ecommerce platforms, PIM, CMS, data pipelines) - Develop and support tailored Proof Schedules (deeply tailored, data-backed custom demo, similar to a “proof of value”) - Deliver technical presentations to both business and technical stakeholders - Serve as primary technical advisor during evaluation cycles - Troubleshoot and triage APIs, SDKs, and integration patterns - Willingness to tinker and build demo prototypes and tooling - Build and present compelling custom technical demonstrations and integration blueprints tailored to each sales opportunity - Support RFP and RFI responses CROSS-FUNCTIONAL COLLABORATION - Partner with Product and Engineering to surface prospective customer feedback to influence product roadmap and integration strategy - Contribute insights to the roadmap and the go-to-market strategy - Support enablement and training for sales teams - Help refine documentation, processes, and best practices within the SE function MARKET & INDUSTRY ENGAGEMENT - Stay current on ecommerce trends, AI/ML advancements, and the competitive landscape - Represent Constructor in prospect meetings, partner engagements, field events, and other industry engagements - Build strong relationships with prospective customer technical stakeholders (architects, engineers, delivery teams) REQUIRED QUALIFICATIONS & SKILLS - 3+ years of experience in technical Solutions Engineering, Sales Engineering, Pre-Sales Architect, or Technical Pre-Sales roles - Deep hands-on experience with API-first platforms: comfortable working directly with REST APIs, JSON data structures, webhooks, and SDK integration patterns, and able to troubleshoot them with Postman or similar tools - Working knowledge of JavaScript, TypeScript, Python, or similar languages, enough to read integration code, debug client-side implementations, and build lightweight prototypes or demo tooling - Experience designing and running custom demos or pilots with clear, business-aligned success criteria - Hands-on experience with coding agents to automate workflows, amplify impact, and execute at scale - Ability to read the room, tailor your communication to diverse audiences, and identify detractors, champions, and key decision-makers - Strong written and verbal communication, with a track record of producing clear technical documentation and explaining complex ideas to developers, architects, and C-suite executives alike - Ability to effectively articulate complex ideas to both technical and non-technical audiences - Ability to empathize with prospects’ challenges and goals - Skilled listener with innate curiosity - Passionate about innovative technology, technical sales, and articulating value to prospects - Enjoys working with prospects and is comfortable interacting with C-suite executives from both technical and business perspectives PREFERRED QUALIFICATIONS - Experience in enterprise ecommerce or retail technology environments - Hands-on familiarity with at least two major ecommerce platforms, including how each handles catalog structure, extensions, and headless versus templated frontends - Deep understanding of data mapping between backend systems such as PIM, ERP, or legacy search indexes into a new target schema, possibly including product and variant structures, facets, attributes, and pricing logic - Working knowledge of search and discovery concepts - Experience supporting security reviews and procurement requirements, including GDPR, data processing agreements, data residency, and ISO 27001 or SOC 2 questionnaires - Ability to build business value models that connect search improvements to revenue, conversion, or average order value - Exposure to conversational or agentic shopping experiences, or retail media and sponsored product programs WHAT SUCCESS LOOKS LIKE - Prospects clearly understand technical integration paths - Proof Schedules(deeply tailored, data-backed custom demo, similar to a “proof of value”) align tightly with business outcomes - Technical objections are addressed proactively and effectively - Sales cycles are accelerated through a strong technical partnership - Product and Engineering receive actionable, structured market feedback - Qualitative (peer and prospect feedback) and quantitative (sales metrics and customer health scores) feedback will be positive and ideally, excellent WORKING STYLE - Comfortable operating in a remote, distributed, and highly cross-functional environment - Able to manage multiple sales engagements and priorities simultaneously - A builder mindset that is proactive in creating structure in ambiguous environments - Highly collaborative with a strong sense of ownership and autonomy - Commercially aware and aligned with revenue and sales growth goals - Resourceful self-starter who can operate autonomously You’ll Thrive Here If… You’re a curious, skilled listener who genuinely enjoys untangling a prospect’s technical challenges. You get energy from tinkering and building, whether that’s a quick prototype, an integration blueprint, or a better internal process. You’re as comfortable whiteboarding with an engineering team as you are presenting to a CTO. And you have a competitive streak—not just to win the technical evaluation, but to show how the right technical decisions drive meaningful business results. BENEFITS - 🏝️ Unlimited vacation time -we strongly encourage all of our employees take at least 3 weeks per year - 💰 A competitive compensation package including stock options - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget for every employee, refreshed each year - 👪 Parental leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact   DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

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, 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: Constanta, Romania Workplace: on-site VEO Worldwide Services is an international clearance company with 20 years of experience , part of the NOZ Group , the European leader in destocking with over €1 billion turnover. We are more than 1,000 colleagues across 9 countries , working with partners in 35 global markets (Europe, North Africa & Middle East). Our mission : We help companies transform surplus stock into new opportunities, contributing to a more sustainable global economy — while building meaningful careers that grow with real impact. ✨ About the Role We’re looking for a results-driven, people-focused Commercial Team Manager to lead our acquisition team, drive performance, and shape commercial strategy. If you love leading people, turning goals into results, and working in a fast-paced, international environment — this is your next big step. 🎯 Who You Are ✔ You have leadership experience (min. 1 year) and a passion for helping people grow. ✔ You’re people-oriented and know how to inspire, coach, and empower your team. ✔ You’re results-focused and motivated by impact and measurable outcomes. ✔ You’re hands-on , working side-by-side with your team every day. ✔ You communicate confidently in English (B2), thriving in a multicultural setting. ✔ You hold a bachelor’s degree (or equivalent). 💼 What You’ll Do Lead and support a team of 4–5 buyers, driving commercial performance. Manage daily operations and acquisition activities with a hands-on, strategic approach. Coach, evaluate, and develop team members to reach their full potential. Track KPIs and results, analyze performance, and report to senior management. Shape strategy and propose action plans to achieve objectives and exceed targets. Collaborate cross-functionally with buying, marketing, and commercial teams to deliver results. 🎁 What We Offer Competitive salary + monthly performance-based bonus. 4-month intensive training & coaching program focused on leadership, KPI analysis, reporting, and commercial strategy. Clear career growth path with real advancement opportunities in a dynamic, international business. Global exposure – collaborate with colleagues from 9 countries and work on international projects. Frequent international travel to partner offices, trade fairs, and strategic business events. Flexible benefits package – including discounts, private health insurance, gym membership, meal vouchers, vacation vouchers, and more. Ongoing development programs, language courses, and leadership growth initiatives. 📩 Apply now and take the lead in shaping strategy, building teams, and driving results on a global stage with VEO. -

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

Location: (Multiple States), Netherlands 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: 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 a Staff Product Manager on the Tenant Scale area within Infrastructure Platforms, you’ll set product direction for how GitLab supports large, complex customers as they grow across departments, projects, and regions. This role focuses on the product choices needed to make tenant data more portable, scalable, and ready for a unified deployment model across GitLab.com, Dedicated, and, over time, Self-Managed. You’ll work on problems that sit at the intersection of product strategy, infrastructure, and customer needs, including how we build a platform to horizontally scale our SaaS architecture, how to enable tenant movement between environments, how isolation and regional requirements are handled, and what needs to be in place to support a more cellular architecture. At the Staff level, your scope extends beyond a single group. Your direction will inform the broader Infrastructure Platforms direction, you’ll make the investment case for unified deployment capabilities, and you’ll be a recognized authority, inside and outside GitLab, on multi-tenant and cellular SaaS architecture. In your first year, you’ll partner closely with engineering and product peers to define requirements, drive alignment, and move this work from concept into a deployment model teams can build on, while coaching fellow product managers as they pick up work from the shared pool. What you’ll do Drive product strategy and direction for tenant scale and unified deployment capabilities across GitLab.com, Dedicated, and future deployment models, informing the broader Infrastructure Platforms direction and moving this work from concept into a deployment model teams can build on in your first year. Set quarterly and annual plans for tenant portability and platform unification, breaking large epics into issues and minimal valuable changes (MVCs) and practicing iteration across multiple groups. Define requirements for our unified deployment platform, including the capabilities needed before tenants can be hosted in a unified deployment unit. Partner closely with engineering counterparts and highly technical teams to turn infrastructure constraints and platform needs into clear product direction. Collaborate with product peers across the platforms organization, including teams working on GitLab.com and adjacent infrastructure areas, and manage with influence to align work that spans more than one group. Engage with internal and external customers to understand needs related to isolation, regional deployment, compliance, and operational readiness, using qualitative interviews to find patterns and sharpen problem statements. Build business cases for investment in tenant scale and unified deployment, including build, buy, and partner options, the cost of isolation, regionality, and compliance, and the expected benefits. Facilitate tradeoff discussions around scalability, tenant encapsulation, deployment consistency, and platform unification, and escalate cleanly to the right level of leadership when decisions or progress are blocked. Translate complex technical concepts into product plans, priorities, and documentation that align distributed teams on delivery milestones for tenant portability and platform unification, using error budgets and other performance indicators to inform direction. Represent GitLab as a trusted voice on cellular architecture and tenant scale in customer calls, events, and other external forums. Coach fellow product managers on direction updates, customer validation, and GitLab’s architecture and tech stack, and support a collaborative team model where product managers share ownership across a common pool of work and step into the areas where they can have the most impact. What you’ll bring Experience managing product work in technical domains such as infrastructure, scalability, platform architecture, software delivery, or cloud services, with results delivered across a range of product areas rather than a single one. Ability to work effectively with deeply technical engineering teams and build credibility in discussions about system design, deployment models, and platform constraints. Knowledge of how SaaS or platform-based systems scale, including concepts such as multitenancy, horizontal scalability, autoscaling, workload isolation, and production readiness, and the ability to build a deep understanding of GitLab’s architecture and tech stack and coach others on it. Comfort working with customers or internal stakeholders on complex requirements, including operational, compliance, or regional deployment needs. Skill in turning ambiguous technical problems into clear product strategy, quarterly and annual plans, priorities, and actionable work. Expertise in qualitative customer interviewing and product validation, with the ability to teach those techniques to others. Experience building business cases, including weighing build, buy, and partner options and forecasting benefits against the competitive landscape. Experience collaborating across product, engineering, user experience, and other cross-functional partners in a distributed environment, using iteration and influence to raise the performance of peers beyond your own group. Strength in clear written and verbal communication, especially when explaining complex infrastructure topics to different audiences, with excellent presentation skills at every level of the company. Recognition as a thought leader in a relevant domain, internally and externally, for example through speaking, writing, or representing your company at customer events and conferences. Openness to candidates who bring transferable experience from engineering, technical support, or adjacent product roles relevant to large-scale platforms. About the team The team sits within Infrastructure Platforms and works on foundational platform capabilities. It partners closely with engineering, adjacent product managers, and internal customers across regions, with a strong emphasis on GitLab’s asynchronous working style and long-term platform thinking. Product managers on the team share ownership of a common pool of work; at the Staff level, you’ll help guide how that work is prioritized and mentor teammates as they take it on. 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 $168,000 — $285,600 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: Cape Town, South Africa Job Description: Authorizations & Onboarding Executive Location: Cape Town, CBD (Office-based, on-site) UK-aligned Hours: Mon-Fri (10am-7pm winter / 11am-8pm summer) Type: Full-time Start Your Career in Network Authorisations & Compliance Mortgage Intelligence is part of OneDome , one of the UK's fastest-growing property technology businesses. Supporting a nationwide network of mortgage and protection advisers, we are committed to delivering outstanding customer outcomes while maintaining the highest regulatory standards. As our network continues to grow, we are looking for an Authorisations & Onboarding team member to join our Compliance team and play a key role in welcoming new firms and advisers into the network. The Role As an Authorisations & Onboarding role, you will manage the onboarding journey for new Appointed Representative firms and advisers joining the network. You will conduct due diligence checks, process applications, liaise with advisers and industry partners, and ensure all regulatory requirements are met before authorisation. This is an excellent opportunity for someone looking to develop a career within Financial Services, Compliance or Regulatory Operations. Full training will be provided. Our Ideal Person Detail Focused - Enjoys working accurately with documentation, applications and regulatory information. Analytical - Able to assess information, identify inconsistencies and follow established processes. Organised - Comfortable managing multiple cases, prioritising workloads and working to deadlines. Communicator - Strong written and verbal communication skills with a professional and customer-focused approach. Collaborative - Works well with colleagues, advisers, lenders, providers and other stakeholders. Adaptable - Comfortable working within a regulated environment where processes and regulatory requirements evolve. What You'll Be Doing Reviewing and processing adviser and firm applications. Conducting due diligence and referencing checks. Managing onboarding cases through to completion. Processing FCA registrations and updates. Liaising with advisers, firms, lenders and providers. Responding to telephone and email enquiries. Supporting the delivery of positive customer outcomes. Supporting continuous improvement initiatives across the onboarding process. Why Join Us? Training & Development Full onboarding and ongoing training provided, with opportunities to develop specialist knowledge in compliance, authorisations and regulatory processes. Company Benefits Leave: 22 days annual leave plus bank holidays. Financial Security: Pension scheme, life cover, and an annual bonus & salary review. Family Support: Enhanced maternity and paternity pay. Culture: Annual summer & winter parties alongside regular team socials. If you want a role where your attention to detail is valued and your career development is taken seriously, we want to hear from you. Everyone is Welcome Here Different backgrounds make us stronger. We welcome everyone as your individuality is your strength. Need adjustments? Let us know if you require any support during the hiring process. About OneDome OneDome is a UK-based housing and fintech technology platform building an AI-powered platform to simplify life’s biggest financial decisions — from buying a first home to building and protecting long-term wealth. The platform brings together property discovery, mortgage origination, legal and transaction ser-vices, insurance, and financial planning into a single, end-to-end digital experience. OneDome’s flagship HomeBuyer Service reimagines home ownership as a retail-style product, bundling every-thing required to purchase a home into one transparent, fixed-price offering. Beyond home pur-chases, the platform supports customers across the full lifecycle of home ownership and personal finance. OneDome operates at scale, working with a nationwide network of over 500 mortgage brokers and arranging approximately $1.4 billion in mortgage volume per month , positioning the company among the largest housing and mortgage platforms in the UK. The company is profitable and has been recognised for rapid, capital-efficient growth, including being ranked the 4th fastest-growing fintech and 17th fastest-growing technology company by the Deloitte Fast 50 in 2025, and the 6th fastest-growing tech company by the Sunday Times Tech 100 in 2026. Backed by Channel 4 Ventures and family offices across the UK, Saudi Arabia, the United States, and Australia, OneDome is building the next generation housing and fintech super-platform , re-placing fragmented, manual processes with a modern, data-driven, AI-enabled consumer experience. Salary: R12,000 – R15,000 / month

Location: Bangalore, India About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Collaborate across time zones with global teams while serving as the technical expert for the India market You may be a good fit if you have: 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Ability to work effectively across cultures and time zones as part of a global team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris, France Workplace: Hybrid We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team As a Product Analytics Engineer Intern, you will join the Product Analytics team supporting Ledger Wallet across Product, Business, and Growth/CRM teams. Reporting directly to the Product Data Analytics Manager, you will play a key role in ensuring tracking data quality, and scaling our analytics infrastructure to support company-wide data-driven decision-making. What you’ll be doing - Cross-Functional Collaboration: Work closely with Product Managers, Data Engineers, and Data Scientists to deliver insights and support Growth/CRM personalization pipelines. - Experimentation & A/B Testing: Specify and support A/B test setups, funnel evaluation, and advanced statistical analysis for product features. - AI Governance & Automation: Help establish governance, guardrails, and custom skills for users querying analytics platforms (Mixpanel, Snowflake MCP) via AI tools, and contribute to building end-to-end AI-assisted tracking workflows. - Tracking Quality & Investigations: Triage, investigate, and follow up on tracking issues to maintain data sanity. - Documentation & Enablement: Develop comprehensive documentation and data models (dbt/data mart) to empower stakeholders - Privacy & Compliance: Maintain standard privacy-aware constraints across all data modeling and analytics workflows. What we're looking for - Final-year student in Engineering, Computer Science, Data Science, or a related technical field seeking an end-of-studies internship. - Strong proficiency in SQL, Python scripting, and data modeling concepts. - Analytics engineering mindset with a focus on data quality, reliability, reproducibility, and documentation. - Understanding of A/B testing methodologies, statistical analysis, and funnel evaluation. - Familiarity with Product Analytics tools (e.g., Mixpanel, Amplitude) and data visualization tools is a strong plus - Hands-on experience or deep curiosity regarding AI agents and workflow automation is a strong plus. - Excellent written and verbal communication skills in English. - Interest in Web3, digital assets, and crypto is a plus. At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information. We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

Location: South Africa About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a highly experienced Senior Media Buyer with at least 4 years of hands-on experience managing and scaling paid advertising campaigns. This is an exciting opportunity for a data-driven performance marketer who knows how to build, optimize, and scale profitable campaigns across platforms such as Meta Ads (Facebook & Instagram), Google Ads, TikTok Ads, and other paid media channels. The ideal candidate has a proven track record of managing significant advertising budgets, improving ROAS, reducing customer acquisition costs, and driving measurable business growth. You'll take ownership of paid media strategy, campaign execution, performance analysis, and ongoing optimization while working directly with a high-performing international team. Key Responsibilities Paid Media Strategy: Develop and execute performance-driven advertising strategies across Meta Ads, Google Ads, TikTok Ads, and other relevant platforms. Campaign Management: Build, launch, manage, and optimize paid advertising campaigns to maximize conversions, revenue, and return on ad spend (ROAS). Budget Management: Oversee advertising budgets, allocate spend effectively, and scale successful campaigns while maintaining profitability. Performance Optimization: Continuously analyze campaign performance, identify growth opportunities, and optimize targeting, bidding, creatives, and landing pages. Creative Testing: Collaborate with creative teams to develop and test high-converting ad creatives, messaging, and campaign concepts. Tracking & Attribution: Implement and troubleshoot conversion tracking, pixels, Google Tag Manager, GA4, and attribution tools. Reporting & Analytics: Monitor key performance indicators, including ROAS, CPA, CAC, CTR, CPC, and conversion rates, and provide actionable performance insights. A/B Testing: Design and execute structured experiments to improve campaign performance and identify scalable growth opportunities. Market Research: Stay ahead of advertising platform updates, competitor strategies, and emerging paid media trends. Stakeholder Collaboration: Communicate campaign results, strategic recommendations, and growth opportunities to internal teams and clients. Requirements 4+ years of proven experience in media buying, paid advertising, or performance marketing. Strong hands-on experience with Meta Ads Manager and Google Ads. Experience managing and scaling paid advertising campaigns with measurable results. Proven ability to improve ROAS, reduce CPA, and optimize customer acquisition costs. Strong understanding of paid social advertising, paid search, conversion funnels, and performance marketing strategies. Experience managing substantial monthly advertising budgets. Advanced knowledge of campaign tracking, attribution, and analytics tools, including Google Analytics 4 (GA4) and Google Tag Manager. Strong analytical skills with the ability to interpret performance data and translate insights into actionable strategies. Experience with creative testing, audience segmentation, retargeting, and conversion rate optimization. Excellent English communication skills, both written and verbal. Ability to work independently, manage multiple campaigns, and consistently deliver results in a remote environment. Experience working with international clients or marketing agencies is highly desirable. Nice to Have Experience with TikTok Ads, LinkedIn Ads, or additional advertising platforms. Experience in eCommerce, SaaS, lead generation, or direct-response marketing. Familiarity with Shopify, HubSpot, or other marketing and CRM platforms. Experience using reporting tools such as Looker Studio, Triple Whale, or similar analytics platforms. Experience leading paid media strategies or mentoring junior media buyers. Benefits 💰 Competitive compensation based on experience and expertise. 🌎 100% remote opportunity - work from anywhere. 🚀 Work with international companies across exciting and fast-growing industries. 📈 Career growth opportunities with established businesses and ambitious marketing teams. 🎯 High-impact role where your expertise directly contributes to business growth. 🤝 Direct client placement - become an integral part of the company's team rather than working through a traditional outsourcing agency. 💻 Collaborative environment with opportunities to develop your performance marketing expertise.

Location: Bulgaria; Poland About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We're looking for a Senior Media Buyer / Senior Paid Media Specialist with 4–5+ years of hands-on experience managing and scaling high-performing paid advertising campaigns across Meta Ads (Facebook & Instagram) and Google Ads. This role is ideal for a results-driven performance marketer who understands how to turn advertising budgets into measurable business growth. You'll take ownership of paid media strategy, campaign execution, optimization, and performance reporting, working with an ambitious team to drive conversions, maximize ROAS, and scale customer acquisition. We're looking for someone who can do more than manage campaigns — we want someone who knows how to scale them profitably. Key Responsibilities Paid Media Strategy: Develop and execute comprehensive paid advertising strategies across Meta Ads and Google Ads. Campaign Management: Build, launch, manage, and optimize campaigns across Facebook, Instagram, Google Search, Display, Performance Max, and YouTube. Budget Management: Manage advertising budgets efficiently, allocating spend to maximize ROI and ROAS. Performance Optimization: Continuously analyze campaign performance and optimize targeting, bidding, creatives, and conversion rates. Scaling Campaigns: Identify opportunities to scale successful campaigns while maintaining profitability. Creative Strategy: Collaborate with creative teams to develop compelling ad creatives, messaging, and testing strategies. A/B Testing: Run structured experiments across audiences, creatives, landing pages, and campaign structures. Tracking & Analytics: Implement and troubleshoot conversion tracking using Google Analytics 4, Google Tag Manager, Meta Pixel, and Conversion API. Reporting: Monitor and report on key performance metrics, including ROAS, CPA, CPL, CTR, CPC, and conversion rates. Strategic Insights: Provide actionable recommendations based on campaign data and market trends. Requirements 4–5+ years of proven experience in paid media buying, performance marketing, or digital advertising. Advanced expertise in Meta Ads Manager, including campaign structures, audience targeting, creative testing, retargeting, and scaling strategies. Advanced expertise in Google Ads, including Search, Display, Performance Max, and conversion optimization. Proven track record of managing and scaling paid advertising campaigns with measurable results. Strong understanding of campaign profitability, ROAS, CPA, CAC, and customer acquisition strategies. Experience managing significant monthly advertising budgets. Proficiency with Google Analytics 4 (GA4), Google Tag Manager, and conversion tracking tools. Strong analytical skills and the ability to translate campaign data into actionable insights. Experience conducting A/B tests and optimizing landing pages and conversion funnels. Excellent written and verbal English communication skills. Ability to work independently, manage multiple campaigns, and take full ownership of performance. Nice-to-Have Experience working with international clients, particularly in the US, UK, or Australian markets. Background in a performance marketing agency or high-growth business. Experience with eCommerce, lead generation, SaaS, or B2B advertising. Familiarity with CRM platforms and marketing automation tools. Experience with Looker Studio, Google Merchant Center, or advanced attribution platforms. Meta Blueprint or Google Ads certifications. Benefits 💰 Competitive compensation based on experience and expertise. 🌎 100% remote opportunity - work from anywhere. 🚀 Work with international companies across exciting and fast-growing industries. 📈 Career growth opportunities with established businesses and ambitious marketing teams. 🎯 High-impact role where your expertise directly contributes to business growth. 🤝 Direct client placement - become an integral part of the company's team rather than working through a traditional outsourcing agency. 💻 Collaborative environment with opportunities to develop your performance marketing expertise.