Doppel

• Audit our current site and identify gaps across product, features, use cases and industry pages. • Define a clear roadmap for new page creation and refreshes, prioritizing based on business impact, SEO potential, and user needs. • Manage the web properties as a product, balancing immediate marketing needs with long-term technical and strategic health. • Translate product positioning and messaging into compelling, web-native experiences. • Collaborate with PMM to refine narratives, ensuring they are clear, differentiated, and effective in a digital context. • Lead the creation of new pages from concept to launch, shaping content, defining structure, and developing wireframes. • Ensure all new pages meet best practices for performance, accessibility, and SEO. • Work closely with Design and Web Engineering to bring pages to life, ensuring projects move efficiently from idea to launch. • Evaluate page performance using tools like Google Analytics, heatmaps, and A/B testing platforms.

• Own the strategy, execution, and optimization of paid media programs across Google, LinkedIn, Meta, Reddit, and other channels, including managing a multi-million dollar annual budget, pacing, audience layering, creative testing, and bid strategy. • Build and scale digital ABM program, using tools and AI to sharpen targeting accuracy, expand buying committee reach, and personalize ad creative at scale across personas and industries. • Design and run structured experimentation frameworks (e.g., 2x2 matrices across message, format, and audience), with AI in the loop to surface performance patterns faster than manual analysis allows. • Stand up and optimize emerging paid channels (e.g., Reddit, OpenAI ads, contact-level display) to obtain insights and drive positive ROI for the business. • Build an AI-augmented operating system for paid media, using LLMs and AI tools to accelerate ad copy generation, creative variant testing, audience research, landing page iteration, and post-campaign analysis. • Partner with Marketing Ops and RevOps to build closed-loop reporting from ad impression to closed-won, at both the lead and account level, fueling weekly, monthly, and quarterly performance synthesis, pipeline diagnostics, and exec-ready summaries. • Partner with SDR and AE teams to keep lead handoff, follow-up, and feedback loops tight, with regular reviews on lead quality and pipeline outcomes.

• Drive new business in the mid-market segment (companies with $2.5 billion in revenue & below). • Run consultative sales cycles, building strong, trusted relationships. • Map Doppel’s products to real customer problems. • Qualify opportunities and close deals with discipline, creativity, and integrity. • Share feedback from the field to help improve our product and sales motion.

• Architect and manage data flows, integrations, APIs, and webhooks to ensure clean, reliable, and actionable data across systems. • Consolidate contacts, interaction history, and engagement signals from multiple sources into a single, enriched, trustworthy data foundation. • Build and evolve our prospecting architecture using tools like Clay, ZoomInfo, and Salesforce to identify high-intent accounts and contacts. • Develop new signal-based workflows (intent, enrichment, behavioral triggers) to improve targeting and timing. • Design and automate outbound and inbound campaign workflows aligned to ICP, personas, and messaging strategy. • Identify high-impact AI use cases and deploy AI agents, copilots, and workflows across GTM teams. • Build automations that reduce manual work (e.g., lead routing, enrichment, account research, sequencing triggers). • Maximize native AI capabilities across existing tools and evaluate new tools to enhance the stack. • Act as a bridge between technical systems and GTM teams. • Train Sales, Marketing, and CS on new workflows, tools, and AI capabilities. • Build internal champions and drive adoption of new systems and processes.

• Own and prioritize calendars for ELT members, including external meetings, internal check-ins, and cross-functional touchpoints. Proactively identify conflicts, resolve scheduling challenges, and make sure leaders are fully prepared. • Coordinate logistics for executive-level events such as board meetings, customer dinners, and leadership offsites. Partner with internal teams and vendors on venues, catering, materials, and technology. Support company-wide offsites and board meetings. • Manage travel arrangements and itineraries, process expenses accurately and on time, and provide administrative support so the ELT can stay focused on strategic work.

• Design, launch, and continuously improve digital customer success programs across the customer lifecycle, including onboarding, adoption, customer education, AI feature adoption, customer maturity progression, renewal readiness, and customer advocacy. • Own the digital experience for tech-touch and scaled customer segments while enabling high-touch Customer Success Managers with automated engagement programs, customer intelligence, and repeatable playbooks. • Build scalable lifecycle campaigns that proactively guide customers toward key milestones using automation, segmentation, customer behavior, product telemetry, and lifecycle analytics. • Own Customer Success digital reporting by developing scalable dashboards and reporting views for customer health, onboarding, adoption, product usage, engagement, renewals, expansion, and program effectiveness. • Partner with Revenue Operations and Business Systems to improve data quality, reporting automation, and accessibility of customer insights across the Customer Success organization. • Identify customer trends, risks, friction points, and growth opportunities through data analysis and translate insights into actionable recommendations for CS leadership and cross-functional partners. • Partner with Product, Product Marketing, and Customer Success to accelerate adoption of Doppel’s AI capabilities through targeted customer education, campaigns, usage analysis, and best-practice programs. • Measure AI adoption and customer maturity through clear success metrics; identify barriers to adoption and recommend improvements to product experience, enablement, and customer engagement. • Map, document, and continuously optimize the end-to-end digital customer journey using customer feedback, behavioral data, lifecycle analytics, and operational insights. • Collaborate with Marketing and Enablement to create targeted email campaigns, learning content, webinars, in-product guidance, best-practice resources, and customer communications aligned to lifecycle stage and success milestones. • Partner with Customer Success leadership to define and optimize customer health scoring, customer maturity frameworks, lifecycle processes, and standardized playbooks. • Identify opportunities to automate repetitive Customer Success workflows using AI, digital tools, and scalable operational processes. • Track and report on key metrics including time-to-value, onboarding completion, product adoption, AI feature adoption, customer health, product usage and engagement, NPS/CSAT, renewal readiness, expansion influence, and digital program ROI. • Conduct segmentation analysis and A/B testing to continuously improve digital customer engagement and program performance. • Partner with Product and Engineering to advocate for customer needs and improve in-product guidance, self-service experiences, and customer adoption paths. • Work with Sales and Account Management to align digital customer success programs with broader business initiatives, renewal planning, and growth opportunities.

• Manage a portfolio of scaled customers using a digital-first engagement model. • Drive onboarding and accelerate time-to-value. • Monitor customer health, product adoption, and engagement to identify risks and opportunities. • Execute targeted outreach based on lifecycle stage and customer health. • Promote adoption of Doppel AI capabilities through webinars, campaigns, and best practices. • Partner with the Digital Programs team to improve lifecycle campaigns. • Support renewals by proactively addressing adoption gaps. • Identify expansion opportunities and collaborate with Sales. • Capture customer feedback and partner with Product to improve the customer experience. • Maintain accurate customer data in Salesforce and Customer Success systems.

• Build and manage relationships with key security VARs, GSIs, and technology alliance partners in EMEA. • Develop joint business plans to drive pipeline and revenue growth through partners. • Enable partners with the knowledge, tools, and resources to sell Doppel effectively. • Collaborate closely with Enterprise and Mid-Market sellers to co-sell and accelerate deals. • Manage partner onboarding, training, and performance tracking through systems like SFDC, Impartner, and Clari. • Represent Doppel at partner and industry events; travel approximately 33–50% of the time. • Share partner and field insights to influence go-to-market strategy, pricing, and product direction.

• Design and develop end-to-end learning experiences that drive product adoption, proficiency, and customer outcomes. • Establish instructional design standards, templates, and best practices that ensure learning experiences are engaging, visually compelling, and scalable. • Create onboarding programs, learning paths, e-learning modules, certifications, assessments, and performance support resources for employees and customers. • Partner with Product, Customer Success, Solutions Engineering, and subject matter experts to identify learning needs and opportunities to improve adoption and customer value realization. • Develop customer education programs that help users build confidence, adopt best practices, and achieve meaningful outcomes with Doppel's products. • Measure the effectiveness of learning programs through engagement, adoption, proficiency, and business impact metrics, and continuously improve content based on insights.

• Design, test, and optimize sourcing queries, collection methods, enrichment logic, and detection workflows across available data sources and platform capabilities. • Partner with Product and Engineering to communicate customer feedback, emerging threat patterns, and platform gaps. • Analyze recurring trends across alerts, escalations, and customer environments to inform scalable platform and process improvements. • Support onboarding, implementation, and ongoing detection workflows for select customers.