Manager, Enterprise Sales

ZenRows

REMOTE | FULL-TIME Born in the Basque Country and built for the world, ZenRows is one of the fastest-growing data infrastructure startups in Europe. We work 100% remotely and hire the best people regardless of where they are. Founded in 2021, we started as a scraping API for developers. In 2026, we are evolving into something bigger: the data collection infrastructure layer for the AI era. Thousands of companies across e-commerce, finance, real estate, and AI rely on ZenRows to power their data pipelines. Now, we're building for the next generation of users: workflow builders, AI engineers, and business teams who don't write code but need data to flow reliably through their systems. We're looking for a Head of Organic Growth to own how ZenRows is discovered, understood, and trusted across LLMs, developer communities, integration ecosystems, and the open web.   THE ROLE The way developers and technical teams discover tools has fundamentally changed. Google search is no longer the only, or even the primary surface. Developers ask ChatGPT. Business users ask Gemini. AI engineers search Perplexity. Workflows are built inside Clay, n8n, and Make, where discovery happens through directories, templates, and community recommendations. Your job is to make ZenRows the trusted, cited, recommended answer across all of these surfaces, not just in Google's top 10. You'll work closely with Product, Sales, and the GTM Engineer to ensure content is a genuine growth engine, not a support function.   WHAT YOU'LL OWN   🔍 AEO, GEO & DISCOVERABILITY STRATEGY This is the core of the role. * Own ZenRows' Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategy: ensuring we are the cited, recommended answer when developers and AI engineers ask about web scraping, data collection, workflow automation, and data pipelines * Understand how LLMs (ChatGPT, Gemini, Claude, Perplexity) surface and prioritize content, and build a strategy around it * Develop structured, citation-friendly content formats: comparison pages, definitional guides, integration explainers, and technical FAQs that earn LLM citations * Own competitive intelligence: track how competitors are being cited, recommended, and positioned in AI search   📊 SEO STRATEGY & CONTENT OPERATIONS * Own ZenRows' organic search strategy end-to-end: keyword research, topic prioritization, content gap analysis, and competitive benchmarking, with a clear view of where SEO still drives meaningful pipeline and where it doesn't * Lead content operations: manage the editorial calendar, maintain publishing velocity, and ensure quality standards across in-house writers, freelancers, and external agencies * Manage, and develop a team of technical writers and editors, setting clear briefs, review processes, and feedback loops that raise the floor on content quality without creating bottlenecks * Own the relationship with external content agencies: briefing, quality control, performance review, and deciding what stays in-house versus what gets outsourced * Develop and maintain off-page SEO strategy: link acquisition, guest publishing, and building the kind of third-party authority signals that reinforce ZenRows' position in both traditional search and LLM training corpora * Work closely with Engineering on technical SEO: site architecture, crawlability, Core Web Vitals, structured data markup, and indexing health, you won't do this alone, but you'll own the roadmap and hold the team accountable * Maintain a content performance framework: define and track the metrics that matter (organic traffic, keyword rankings, assisted conversions, LLM citation frequency) and use them to make prioritization decisions, not just report on them * Continuously audit the existing content library for decay, cannibalization, and coverage gaps, and make the hard calls about what gets updated, consolidated, or cut   🧑‍💻 Developer Education & Docs-as-Marketing * Turn ZenRows' documentation into a top-of-funnel acquisition channel. Think Stripe's docs: content that ranks, educates, and converts, not marketing fluff disguised as technical writing * Build actionable, developer-focused resources: integration tutorials, use-case walkthroughs, SDK examples, and migration guides * Create content specifically for the AI/LLM data pipeline audience: tutorials on using ZenRows for RAG pipelines, AI agents, training data collection, MCP server integrations, and agentic workflows * Collaborate with Engineering and Product to ensure documentation is accurate and genuinely useful * Partner with DevRel to amplify technical content across developer communities   🔗 Ecosystem & Integration Content This is new territory for ZenRows, and one of the highest-leverage content surfaces in 2026. * Build and maintain a library of integration content: how ZenRows works inside Clay, n8n, Make, Zapier, LangChain, LlamaIndex, and other workflow and AI platforms * Create content that earns ZenRows a presence in integration marketplaces and community directories, not just Google * Partner with the Partnerships Manager on co-marketing content: joint guides, partner-specific tutorials, template libraries * Develop content that serves workflow builders and automation teams: non-developer technical users building workflows and automation without writing code   📈 PLG Content & Activation * Build a content-led activation flywheel: blog post attracts developer → documentation helps them succeed → integration guide shows them what's possible → usage converts to paid * Partner with Product and Growth on in-app content, onboarding flows, and activation-focused tutorials * Own the content layer of the trial-to-paid conversion journey   🤝 SALES ENABLEMENT & ENTERPRISE CONTENT * Support Sales with high-impact materials: competitive battle cards, use-case one-pagers, ROI narratives, and case studies * Develop positioning content for workflow builders and automation teams, as well as business users who interact with data through AI tools and LLM interfaces * Build and maintain a lean, current library of sales enablement assets, prioritize quality and relevance over volume   👥 TEAM LEADERSHIP * Lead, mentor, and develop the existing content team * Define and maintain editorial standards and brand voice across all content types * Build a culture of experimentation and outcome orientation, not content volume * Scale through leverage: AI-assisted workflows, freelance network, and smart prioritization   THE PERSON We're looking for someone who thinks in distribution systems, not publishing calendars.   REQUIRED * 5+ years in content, growth, or developer marketing, ideally at a B2B SaaS, API, or developer infrastructure company * Deep understanding of AEO and GEO: you know how LLMs source and surface answers, and you've thought about what it means for content strategy * Technical fluency in developer tools, APIs, or adjacent infrastructure. You don't need to be an engineer, but you need to be able to write or edit a Python snippet, understand what a headless browser does, and explain a web scraping use case to a non-technical audience * Proven experience building content for both self-serve/PLG and integration-led or enterprise motions * Strong editorial judgment, you can tell the difference between content that educates and content that fills a calendar * Experience building and maintaining integration or ecosystem content: tutorials, partner guides, marketplace presence * Comfortable operating in a fast-moving, autonomous environment without heavy process * Fluent in English (we are an English-first organization)   STRONG ADVANTAGE * Experience with workflow automation platforms (Clay, n8n, Make, Zapier) from a content or product perspective * Familiarity with the LLM/AI agent ecosystem: LangChain, LlamaIndex, CrewAI, RAG architectures * Experience evolving or rebuilding a content function through a GTM pivot, not just building from scratch * Track record of content that drove ecosystem or community-led growth, not only organic search traffic * Experience using AI-assisted tools to automate content operations at scale (n8n, Claude Code, or similar)   THIS ROLE IS NOT FOR EVERYONE * We are a small, efficient team of ~20 competing against companies 10x our size. Ownership is real, there is nowhere to hide * We are fully remote, which means documentation and async communication are essential * Feedback is constant and candid. Strong opinions are welcomed and debated * We are scaling fast. Processes evolve. Priorities shift. If you need rigid structure, you may struggle * We just made a significant strategic pivot. Some things that worked before won't work the same way. You'll need to be comfortable with that ambiguity   WHY YOU'LL LOVE WORKING HERE * You will own the entire content function at a critical inflection point, the work you do in 2026 will shape the company's market position for years * Genuine autonomy. You will be trusted, not micromanaged * Direct access to leadership, our CEO is accessible and values world-class talent * 100% remote, forever * A horizontal culture where contributing beyond your job description is expected and celebrated * You'll be working at the intersection of developer tools, workflow automation, and the AI agent ecosystem, one of the most interesting spaces in tech right now   WHAT REWARDS AND BENEFITS WOULD I GET? * 100% remote work: true location freedom * The salary you are worth: we focus on value, not previous compensation * The equipment you want: choose the tools you need * Generous Learning & Development budget: courses, materials, growth support * BitWarden Account for secure password management * Annual Kick-Off: yearly team event in a new location * Barcelona Meetups throughout the year * Deel Benefits: discounts on services, subscriptions, travel, and more * Access to world-class colleagues reinventing an industry   OUR VALUES Ownership, Dedication, Impact, Transparency, and Agility run through everything we do. We're a sociable company and don't let a remote model stop us from feeling connected. The atmosphere is friendly, supportive, and driven by a constant desire to improve.   DIVERSITY, EQUITY & INCLUSION At ZenRows, we are committed to diversity, equity, and inclusion and recognize we can always do more. Every job description is reviewed through a gender bias decoder to ensure inclusivity. We aim to nurture a welcoming and safe environment for everyone.   PRIVACY AND YOUR DATA At ZenRows, we prioritize the privacy and security of data entrusted to us. We comply with all applicable data protection regulations and industry best practices. Any job offer will be subject to successfully passing background checks.

weCreate Data

DEINE AUFGABEN Du knackst für uns den Outbound-Code im DACH-Enterprise-Markt, machst selbst Umsatz und zeigst unserem Junior-Team, wie modernes Account-Based Selling funktioniert. Kernaufgaben: * Aktiver Verkauf und Closing von Enterprise-Deals (eigenes Umsatz-Ziel). * Analyse und Neugestaltung unseres Outbound-Prozesses. * Führung, Coaching und Weiterentwicklung von 2-3 (Junior) Sales Mitarbeitern. * Tracking der Sales-KPIs und Optimierung der Conversion-Rates über den gesamten Funnel. DEIN PROFIL Die Mission: Wir suchen keinen Dashboard-Manager, sondern eine vertriebliche Speerspitze. Fokus:  Outbound knacken, eigenes Quota erfüllen und das Junior-Team auf das nächste Level heben. Must-Haves: * Mindestens 5 Jahre Erfahrung im B2B-Software-Vertrieb (Enterprise-Level, Ticketgrößen ab 10.000 €). * "Player-Coach"-Mentalität: Du führst durch eigenes Vorbild und scheust dich nicht vor Kaltakquise und komplexen Verhandlungen. * Nachweisbarer Track-Record im Aufbau von funktionierenden Outbound-Playbooks. * Führungserfahrung oder starkes Mentoring-Profil, um Mitarbeiter zu coachen. DAS BEKOMMST DU BEI UNS: * Ein kleines und familiäres Team & Umfeld, mit flachen Hierarchien, kurzen Entscheidungswegen und einer ungezwungenen, offenen Kommunikationskultur * Ausgewogene Work-Life Balance durch flexible Arbeitszeiten (Gleitzeitmodell) * Flexible Remote Work Regelung * Regelmäßig stattfindende Teambuilding Events in Wien, damit der Teamspirit bei Remote-Arbeit nicht zu kurz kommt * Workations gehören ebenfalls zu unserer Philosophie * Einbringung eigener Ideen und Strategien ausdrücklich erwünscht  * Spannende Zusammenarbeit mit unserem Schwesterunternehmen WeCreate Germany und Zugang zu exklusivem Creator-Netzwerk

Toast

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Retail is Toast's biggest bet and we are growing rapidly. The opportunity is massive, and the category is ours to define. You'll have the backing of Toast's scale, brand, and resources but you'll be on the team architecting how we operate, scale, and win.  The decisions you make in this role will shape how Toast competes in retail for years to come. Toast is prioritizing AI integration across the enterprise to redefine GTM velocity. As part of this strategy, multiple business units are pursuing specialized AI initiatives tailored to market challenges. This model balances corporate-wide coordination with vertical accountability: teams work in lockstep to scale efficiencies and aggregate impact, while remaining responsible for developing, building, and launching solutions optimized for unique operating environments. The GTM Sales Engineer & AI solutions is the core functional driver of this transformation within the Retail vertical. As an expert in applied AI, you will own the centralized deployment of AI applications to directly improve Productivity Per Rep (PPR). You will drive AI-powered productivity and automation across Retail sales, working with AEs and BDR/SDR teams to accelerate sales and with Onboarding to streamline the path to Customer Go-Live, with the opportunity to grow your impact across other GTM and client-facing teams as the vertical scales. You will be the operational linchpin running the Retail AI GTM Pod, architecting a continuous feedback loop sourcing grassroots ideas from the frontline, filtering them through a business lens, and scaling them into production tools. This is a technical, builder-focused role. You will observe decentralized AI applications working across the organization and partner to accelerate their impact, making them structurally better, integrating them into core systems, and maintaining them long-term. While you will partner with central corporate operations and marketing to advocate for Retail use cases and scale company-wide efficiencies, you will also possess the autonomous engineering capabilities to construct vertical-specific pipelines when distinct merchant workflows require it. This role sits in Revenue Operations, but will also dotted-line report into engineering. A day in the life (Responsibilities)  AI GTM POD GOVERNANCE & SOLUTION SOURCING * Leadership & Facilitation: Stand up the Retail AI GTM Pod to surface, qualify, and scale AI applications across the Retail field. The model could be a working group of AI-forward reps, managers, and leaders organized around defined themes in Sales & Onboarding, contributing domain expertise and frontline signals. The pod functions as an intake mechanism and sounding board, surfacing field experiments, pressure-testing priorities, and keeping your roadmap grounded in what moves the business. * Idea & Solution Sourcing: Serve as the production engine for ideas surfacing through the pod and field. Evaluate what is worth scaling, determine the right build, buy, or borrow path, and take the strongest ideas from experiment to production tool—launching with Enablement to non-technical end-users and maintaining active ownership through adoption tracking, feedback, and iteration. * Build vs. Buy Evaluation: Lead technical discovery to determine the most efficient path for problem statements, assessing whether to build a custom agentic solution, stitch existing APIs, or coordinate with vendors to purchase a scalable product. * Roadmap Prioritization: Translate decisions into a sprint-based roadmap, prioritizing developments based strictly on their potential to drive vertical PPR and eliminate administrative friction. APPLIED ENGINEERING & SYSTEMS INTEGRATION * Agile Sprint Execution: Maintain and execute against a technical scrum board, operating on defined sprint cycles to continuously ship, test, and iterate on AI-powered features. * Industrializing Frontline Wins: Take successful, unscaled local experiments (e.g., territory expansion scoring, contact discovery pipelines, multi-intent category parsers) and harden them with error handling, version control, scalable code, and secure coding practices like input validation, secrets management, and mitigation of LLM risks (e.g., prompt injection). * Systems Integration: Coordinate integration efforts to map vertical AI outputs into core GTM platforms (Salesforce, Snowflake, Taskray), ensuring local applications enhance rather than disrupt foundational enterprise pipelines. * Data Integrity Architecture: Build & monitor data validation frameworks ensuring model inputs are pristine and outputs are entirely auditable and trusted by the field. * Application Security: Design & enforce security controls for Retail AI applications, including authentication/authorization frameworks, secrets management, access controls on model outputs, and mitigations for LLM risks (prompt injection, data exfiltration). Ensure builds meet Toast's security standards given system proximity to payment and customer data workflows. CROSS-FUNCTIONAL PARTNERSHIP & STRATEGIC RADAR * Enterprise Collaboration: Contribute to cross-functional AI coordination cadences connecting Revenue Operations, Marketing AI, and Business Technology teams across Toast. Align on company-wide AI investments, advocate for Retail use cases and merchant requirements in shared roadmaps, and identify where central efforts can be leveraged, adapted, or extended. Serve as Retail's active voice in sequencing these shared initiatives while staying coordinated. * Vertical Personalization: Monitor central enterprise tool developments (e.g., prospecting or enablement agent suites) to identify opportunities to clone, customize, or extend for Retail merchant types. * Bidirectional Knowledge Exchange: Establish a pipeline for sharing locally developed code, architecture patterns, and prompt structures with central teams, ensuring Retail's breakthroughs help elevate Toast's engineering ecosystem. FLUENCY, ENABLEMENT & TRAINING LOOPS * AI Fluency Leadership: Design and execute vertical-wide enablement tracks to build a baseline of confident, independent AI tool usage across sales reps, onboarding consultants, and managers. * Adoption Analytics: Build & monitor adoption tracking mechanisms for deployed AI solutions, ensuring training translates into consistent field usage and measurable reductions in level of effort (LOE). What you'll need to thrive (Requirements) * Applied AI Deployment: 4+ years of experience in a technical, analytical, or GTM operations role, with a track record of owning the full deployment lifecycle of applied AI applications, RAG pipelines, or agentic workflows, including post-launch monitoring, alerting, rollback procedures, and model version management. * Modern AI Toolchain Literacy: Advanced, hands-on proficiency with developer-focused AI tools, specifically the Gemini Suite, Claude Cowork, and Claude Code. * Modern Deployment Stack: Experience deploying and operating AI backend systems in production (API services, model inference pipelines, orchestration layers), with demonstrated ownership through reliability, observability, and incident response. * Application Security Awareness: Familiarity with security best practices for AI-native systems, including authentication/authorization, secrets management, access controls on outputs, and awareness of LLM attack surfaces (prompt injection, data exfiltration). * Agile Operational Fluency: Experience operating within an agile engineering model, including managing technical product backlogs, running sprint cycles, and maintaining scrum boards. * Strategic Diplomacy: Exceptional communication skills with a proven ability to enter central enterprise forums, align stakeholders, advocate for vertical needs, and collaborate across business units. What will help you stand out (Nonessential Skills/Nice to Haves) * Software engineering or computer science background with the ability to write functional code (Python, JavaScript, or equivalent) and construct robust API integrations from scratch. * Direct domain familiarity with B2B SaaS and Retail tech spanning grocery, convenience, or wholesale commerce environments. * Experience building or scaling an AI program for non-technical end-users, including driving literacy, prompt engineering, or tool enablement. * Degree in Computer Science, Engineering, a related technical discipline, or equivalent practical experience as a technical founder or builder.   AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.   Our Total Rewards Philosophy  We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy. Zone A $172,000—$275,000 USD Zone B $150,000—$240,000 USD Zone C $135,000—$216,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.