• Represent Pacvue’s AI Vision with Customers • Serve as a senior customer-facing voice for Pacvue on AI, machine learning, Pacvue Agent, agentic workflows, automation, measurement intelligence, and the future of commerce media. • Engage directly with enterprise brands, agencies, retailers, and strategic partners to understand their AI priorities, concerns, workflow gaps, and adoption barriers. • Support executive briefings, customer advisory boards, strategic sales conversations, industry events, and thought leadership. • Translate customer feedback into AI strategy, experimentation themes, product priorities, and roadmap decisions. • Lead Pacvue’s AI, ML, and Data Science organization across experimentation, applied models, recommendations, optimization, measurement intelligence, forecasting, workflow automation, and agentic AI. • Partner closely with existing AI and Data Science leaders to scale the organization, strengthen execution, and increase the impact of AI across customer-facing products. • Create operating clarity across AI Labs, production ML/AI, Data Science, Pacvue Agent, and agentic workflows, ensuring clear ownership, priorities, evaluation criteria, and product impact. • Ensure our AI, ML and Data Science teams are aligned, focused and executing seamlessly. Building a world-class AI team is paramount for our success and this leader must be as passionate about talent as they are the product and innovation they lead. • Accelerate Pacvue Agent as a core AI experience across the platform, directing the team, helping customers move from insight to action through trusted, explainable, workflow-embedded AI. • Lead Pacvue’s agentic AI strategy across customer workflows, internal productivity, decision support, and governed automation. • Define where AI should recommend, explain, act, escalate, and learn within customer and internal workflows. • Partner with Product Growth and Customer Success to ensure AI capabilities are adopted, trusted, and connected to measurable customer outcomes. • Lead AI Labs, focused on rapid experimentation, prototyping, and validation of emerging AI capabilities. • Identify high-potential AI use cases, test them quickly, and determine which should graduate into production roadmaps. • Create a disciplined experimentation model that balances speed, customer value, feasibility, responsible AI practices, and business impact. • Own the product and technical direction for ML, AI, and Data Science capabilities across recommendations, optimization, forecasting, measurement intelligence, workflow automation, and performance insights. • Partner with Product, Engineering, and AI/DS leaders to turn models and AI capabilities into reliable, scalable, explainable product experiences. • Drive decisions around model quality, explainability, trust, governance, evaluation, and adoption.

• Design and implement end-to-end automation workflows connecting CRM systems, marketing platforms, landing pages, payment gateways, and business applications. • Build and manage AI-powered systems that automate content generation, campaign analysis, customer interactions, and operational processes. • Develop scalable marketing infrastructure capable of supporting multiple simultaneous offers and campaigns. • Create automated testing frameworks for marketing funnels, campaigns, and conversion optimization initiatives. • Build reusable templates and deployment systems that accelerate launch cycles and reduce operational effort. • Integrate APIs and third-party platforms to ensure seamless data flow across systems. • Establish data architecture frameworks to track key business metrics, campaign performance, customer value, and operational efficiency. • Monitor, maintain, and optimize automation systems to ensure reliability, scalability, and performance. • Collaborate with marketing and technology teams to identify process bottlenecks and implement automation-driven solutions. • Implement AI agents and workflow orchestration tools to improve productivity and business outcomes. • Ensure data accuracy, consistency, and visibility through real-time reporting and analytics dashboards. • Research and evaluate emerging AI technologies, automation platforms, and integration solutions to continuously enhance capabilities.

• Create engaging visual assets for digital marketing campaigns, social media platforms, and brand communication initiatives. • Develop high-quality motion graphics, animations, and dynamic content that enhance audience engagement. • Utilize AI-powered creative tools to accelerate ideation, design production, content generation, and creative experimentation. • Design campaign creatives that align with brand guidelines and marketing objectives. • Collaborate with marketing, content, and creative stakeholders to translate briefs into impactful visual solutions. • Produce visually compelling assets optimized for digital-first consumer engagement. • Create multiple creative variations for campaigns while maintaining consistency across brand touchpoints. • Stay updated on emerging design trends, AI-driven creative technologies, and motion design best practices. • Ensure all creative outputs meet quality, performance, and brand consistency standards. • Manage project deliverables efficiently while meeting timelines and creative expectations.

Role Description We're hiring Engineers dedicated to building AI-powered tools that change how work gets done inside the company. You'll embed with teams across operations, customer success, and finance, find the work that's slow and manual, and ship AI agents and automations that actually get adopted. This is a build-fast, talk-to-humans, own-the-problem role - not a research role and not a pure-infrastructure role. You'll define what "internal AI" looks like here from scratch. Who this is for - You're energized by ambiguity and ownership. - You'd rather ship a rough tool this week, watch someone use it, and improve it than spend a month on a perfect spec. - You like sitting with a non-technical teammate, understanding their actual workflow, and turning it into something that saves them hours. - You're comfortable being the only person who owns a problem end to end. Who you will work with - Partner closely with the CEO and founders on identifying the highest-leverage operational problems to solve. - Work alongside functional leaders across the business to understand their priorities, surface opportunities, and align on what to build. - Collaborate with Operations, Customer Success, Finance, People/Talent Acquisition, Engineering, IT, and Data teams. What you'll actually build - An agent that drafts customer success replies from our knowledge base and ticket history. - A Slack-based workflow that routes and pre-fills finance approvals. - An internal eval harness so we can trust the LLM features we ship. - A tool that lets the ops team query [internal system] in plain language. Qualifications - 1–3 years building software — backend services, internal tools, automations, or API-driven apps. Internships and co-ops count. - Strong in TypeScript and/or Python. - Experience building something with LLMs — an agent, a RAG pipeline, a copilot, a prompt-driven tool — through work, a side project, or coursework. - Comfortable wiring systems together: APIs, webhooks, SaaS integrations, async workflows. - Ability to talk to non-technical stakeholders, figure out what they really need, and drive adoption. - Ability to move fast under ambiguity and iterate from real feedback. Bonus, not required - Built copilots, agents, or workflow automations before. - Used an orchestration framework (LangChain, Temporal, or similar). - Worked with vector databases or retrieval systems. - Integrated with Salesforce, Slack, Zendesk, Notion, or Jira. - Startup / high-growth experience. What success looks like - First few weeks: shipped your first internal tool and it's in active daily use by a business team. - Within 2 months: 2–3 tools live, and stakeholders are coming to you with ideas. - By month 3: you've set the team's baseline practices for evals, prompt management, and safe LLM deployment. Compensation Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at Qventus. Salary Range: $120,000 - $150,000 USD Benefits - Open Paid Time Off. - Paid parental leave. - Professional development. - Wellness and technology stipends. - A generous employee referral bonus. - Employee stock option awards. Equal Opportunity Employment Qventus values diversity in its workforce and proudly upholds the principles of Equal Opportunity Employment. We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics.