Conversica

• Create and manage blogs, articles, customer stories, case studies, thought leadership content, and industry-focused content. • Partner with leadership and subject matter experts to transform ideas and expertise into compelling external content. • Develop content that supports company messaging, market positioning, and business priorities. • Maintain an editorial calendar and content roadmap. • Manage and maintain website content, including page updates, landing pages, messaging updates, and content publishing. • Help ensure website content remains current, relevant, and aligned with company priorities. • Coordinate and execute marketing campaigns across digital channels. • Create and maintain marketing assets that support awareness, engagement, and lead generation efforts.

• Act as the primary Salesforce and CPQ admin, executing system changes, implementing configuration updates, and maintaining documentation • Own and evolve the Revenue Operations dashboard, surfacing key insights to Sales and Executive teams around pipeline, bookings, churn, and net ARR performance • Support the weekly Revenue Growth Call through reporting, dashboard maintenance, data analysis, and preparation of recurring business metrics. • Build and maintain recurring and ad-hoc reports for the CFO and CRO, including ARR forecasts and performance summaries like those used in board and FP&A presentations • Partner with our Senior Deal Desk Specialist to: Streamline quote processing and CPQ configurations, improve quote templates, DocuSign formatting, and sales order accuracy, and ensure end-to-end data consistency from quote to billing to revenue recognition • Intake and triage GTM systems-related requests across the Sales, CS, and Finance orgs • Identify and resolve Salesforce/CPQ issues and lead continuous improvement initiatives, including error reduction, automation, and documentation • Support upcoming CPQ upgrade or system transition planning and implementation • Maintain high standards of data integrity across all GTM systems

• Own end-to-end delivery of significant backend platform components, taking work from design through production within an established architectural direction • Lead implementation in a focused domain such as integrations, messaging infrastructure, data ingestion, or one of the core platform services • Make day-to-day technical decisions within your domain on data modeling, API design, error handling, and operational concerns, partnering with the Staff Engineer and tech leads on broader architectural calls • Partner closely with AI Engineering and Product to translate evolving requirements into reliable, well-tested software • Drive reliability, performance, and observability improvements in the systems you own; respond to production issues and lead the fix • Mentor mid-level and junior engineers on your team through code review, pairing, and design feedback; raise the bar on engineering craft within the team • Contribute to platform-wide design discussions and influence the standards you operate under

• Build and improve backend services that power our conversational AI platform • Develop APIs and integrations with internal systems and external data sources • Work with modern AI technologies and large language models (LLMs) in production environments • Design and implement scalable cloud infrastructure and data pipelines • Collaborate with engineers, product managers, and data scientists to ship new features • Contribute to system reliability, performance improvements, and monitoring

• Lead the technical implementation side of onboarding for new customers, guiding customers through the process of integrating Conversica and CRMs, Marketing Automation Platforms and Dealer Management Systems. • Consult with the customer to define their Conversica lead journey, and configure their dashboard accordingly to ensure successful launch of the platform. • Work alongside the CSM, serving as the technical and product expert. • Provide hands-on configuration support and technical guidance during onboarding to ensure customer systems and processes align with Conversica best practices. • Build trusted advisor relationships with customer stakeholders—from operational teams to leadership. • Provide clear guidance on system configuration, data flow, and best practices to help customers optimize their use of Conversica. • Anticipate and proactively address technical or adoption risks, escalating to internal teams when needed. • Translate complex technical details into clear, actionable guidance for both technical and non-technical audiences. • Effectively manage onboarding projects end-to-end, ensuring timelines, deliverables, and communication remain organized and on track. • Collaborate closely with internal teams—including Product, Engineering, and Customer Success—to ensure a smooth and consistent customer experience. • Document processes, updates, and best practices to strengthen operational consistency. • Maintain strong knowledge of Conversica integrations, data flows, and product capabilities to guide customers and recommend best practices. • Troubleshoot technical issues escalated from tech support and serve as the liaison with Engineering for escalations when necessary.

• Own the end-to-end sales process with a focus on net-new business acquisition in the automotive vertical. • Prospect into mid-market dealer groups and other automotive organizations to build pipeline and close deals. • Drive pipeline growth through a combination of outbound efforts, collaboration with SDRs, and marketing-supported campaigns. • Manage deals averaging $50K+ in ARR with sales cycles typically 1–2 months. • Meet or exceed quota expectations (currently $275K quarterly target). • Deliver accurate forecasting and maintain high-quality CRM hygiene. • Engage stakeholders at multiple levels, including executive decision-makers and business/technical users. • Effectively sell in a fully remote environment, leveraging strong storytelling skills to secure virtual meetings, deliver engaging Zoom/video presentations, and maintain customer engagement throughout the sales process. • Collaborate with Marketing, Product, and strategic partners to enhance GTM efforts in the auto vertical. • Stay current on industry trends, evolving customer needs, and the competitive landscape. • Travel as needed for customer meetings, dealership visits, and key industry events.

• Design, implement, and ship AI-driven features and systems into production environments • Lead technical decision-making for AI architecture, data modeling, and system integration within your domain • Partner closely with Product, Engineering, and other stakeholders to translate business needs into scalable technical solutions • Identify and address reliability, scalability, performance, and observability challenges in AI systems • Implement and advocate for best practices for applied AI engineering, including agent evaluation, interpretability, data layer design, and monitoring • Mentor and guide other engineers, raising the bar on AI engineering quality and decision-making • Provide input into technical strategy and roadmap discussions related to AI capabilities and platform evolution

• Build trusted relationships with mid-market automotive customers and dealership decision-makers. • Drive onboarding, training, and strategic check-ins with a focus on practical outcomes and ROI. • Support customers in leveraging AI-powered lead handling and marketing automation tools. • Act quickly and independently to resolve issues—bringing in internal resources as needed. • Monitor customer health and identify risks or upsell opportunities proactively. • Coordinate success planning, business reviews, and renewal processes for assigned accounts. • Contribute to the playbook for growing the Auto vertical, sharing trends and customer insights internally.

• Own product strategy, roadmap, and prioritization for the Automotive vertical • Lead customer discovery through direct customer conversations, market research, and usage insights • Translate automotive-specific workflows and customer needs into clear product requirements and outcomes • Partner closely with Engineering to deliver high-quality solutions aligned with vertical priorities • Collaborate with Sales and Customer Success to ensure product decisions reflect customer needs and revenue impact • Drive prioritization decisions within the Automotive vertical based on business impact, feasibility, and customer value • Support go-to-market readiness, enablement, and ongoing iteration for Automotive-focused capabilities • Represent the Automotive vertical in cross-functional planning and prioritization discussions

• Design, implement, and ship AI-driven features and systems into production environments • Own technical decision-making for AI architecture, data modeling, and system integration • Partner closely with Product, Engineering, and other stakeholders to translate business needs into scalable technical solutions • Identify and address reliability, scalability, performance, and observability challenges in AI systems • Establish and evolve best practices for applied AI engineering, including agent evaluation, interpretability, and reliability, data layer design, monitoring, explainability, and continuous improvement • Mentor and guide other engineers, raising the bar on AI engineering quality and decision-making • Contribute to technical strategy and roadmap discussions related to AI capabilities and overall platform evolution