• Produce polished, on-brand marketing assets: decks, social ads, email headers, landing pages, event branding, swag, web design, and more • Enhance product screenshots and create animated product GIFs • Maintain brand consistency across all outputs using Bridgit's updated design system and guidelines • Support updates and evolution to brand guidelines as needed • Audit current design workflows and identify high-volume, repeatable tasks suitable for automation • Evaluate, recommend, and implement AI-assisted tools and pipelines that reduce time-to-asset for templated and repeatable work — and train team members to use them effectively where needed. • Create robust, reusable template libraries that non-designers on the team can operate independently • Integrate design tooling with broader marketing stack (Marketo, Wordpress, Figma, etc.) where applicable • Document systems so they're transferable and maintainable • Train marketing team members as needed

• Define and maintain the AI transformation roadmap, aligned to operational priorities across Revenue, Data, BI, and go-to-market functions • Establish OKRs for AI adoption, productivity impact, and tool ROI, and report progress to the senior leadership • Evaluate, recommend, and govern the AI tool stack, balancing capability, cost, and organizational readiness • Identify the highest-leverage AI use cases across business functions and sequence delivery based on impact and feasibility • Build, prompt, and iterate on AI solutions directly by working in the tools • Design and deploy agentic AI workflows that automate multi-step processes across business functions, moving beyond single-prompt tools to systems that reason, plan and act • Work fluently with Model Context Protocol (MCP) servers to connect AI models to internal systems, data sources, and third-party tools, understanding how to configure, extend, and govern those integrations • Use AI coding tools (including Claude Code and GPT Codex) to accelerate solution development, automate scripts, and build internal tooling without requiring full engineering resources • Partner with the AI Admin on integrations, prompt libraries, and production readiness for new solutions • Lead proof-of-concept work on emerging AI capabilities, stress-testing tools before broader rollout • Manage and develop a small team, setting clear scope, priorities, and success metrics for each role • Create a high-trust, high-output team culture grounded in curiosity, iteration, and business impact • Own the AI governance framework for the organization. Define policies for acceptable use, data handling, model selection and vendor risk across all AI tools and workflows • Establish guardrails for agentic AI systems, ensuring automated workflows have appropriate human-in-the-loop checkpoints, audit trails, and rollback procedures • Partner with Legal, Security, and IT to ensure AI integrations meet data privacy, compliance and information security standards (including SOC 2, GDPR, or customer data handling requirements) • Stay current on the evolving regulatory landscape around AI and proactively surface business implications before they become blockers • Maintain a clear inventory of all AI tools, integrations, and MCP connections in use across the organization, with documented risk ratings and review cadences • Serve as the primary point of contact for all AI needs across ActivTrak — any team, any function, any use case routes through you first • Own and run the AI steering cadence: facilitate cross-functional meetings with business leads, set the agenda, drive decisions and ensure follow-through on commitments • Lead up effectively. You're comfortable presenting roadmaps, risks and recommendations to senior leadership, and you know how to frame tradeoffs in business terms, not technical ones • Influence without authority across peer functions. Build a case and bring people along • Represent the AI Transform function in leadership forums and communicate progress, priorities and risks

• Own the AI adoption roadmap in lockstep with the Director, AI Transformation's delivery, ensuring every solution that ships has a corresponding change and enablement plan. • Define, track and report adoption metrics for each AI initiative such as active usage, time-to-proficiency, self-serve rate on a regular cadence • Tailor enablement approaches to align with business and department initiatives and department Identify adoption risks before and during rollout and bring mitigation options, not just problems • Design and deliver training programs for every AI tool and workflow the team ships through live sessions, async content, quick-reference guides and peer learning formats • Build and maintain a centralized AI use case library: a living resource of proven workflows, prompt templates and best practices for any employee to self-serve • Develop plain-language guidance that translates the technical capabilities built by the team into content any employee can act on immediately • Run regular enablement touchpoints with department leads and power users, embedding AI habits into existing workflows rather than creating parallel ones • Stay current on AI tools and emerging capabilities. Understand them well enough to teach others to use them confidently • Support the Director, AI Transformation in running the AI steering cadence. Own the logistics, prepare materials, capture decisions and drive follow-through on action items • Facilitate department-level AI onboarding and working sessions independently • Maintain a pulse on employee sentiment related to AI across functions to influence opportunities for enablement or support • Build relationships with champions and influencers in each business function who can accelerate adoption from within their teams • Own all internal AI communications, including launch announcements, Slack updates, newsletters, and leadership briefings, keeping the organization informed, engaged, and motivated • Develop and maintain a consistent internal narrative around why AI matters at ActivTrak, grounding it in real employee outcomes and business impact rather than technology hype • Create and manage feedback channels that make it easy for employees to share what's working and what isn't and synthesize that input into actionable insights for the business • Partner with the Director, AI Transformation to communicate AI governance policies and acceptable use guidelines across the organization in ways that are clear, accessible and non-threatening • Develop training and reference materials that help employees understand data privacy, compliance expectations and responsible AI use in their day-to-day work • Track and report on governance-related feedback and questions from employees, helping to identify where policy clarification or reinforcement is needed

• Intake, prioritize, and execute internal AI tool requests from stakeholders across the org • Build and ship internal tools using AI APIs (Claude, OpenAI, etc.), MCP workflows, and modern deployment platforms (Vercel, GitHub) • Audit and document existing MCP integrations to identify which are reliable, which have data gaps, and which should be deprecated or improved • Establish best practices for how internal teams use AI tools, including security, credential management, token usage, and version control • Manage the full lifecycle of internal tools: scoping, building, deploying, credentialing, monitoring usage, and iterating based on feedback • Identify opportunities proactively rather than waiting to be assigned tasks, bringing a creative and strategic lens to where AI can drive the most impact • Collaborate with Engineering and Product to bridge gaps between internal tooling needs and platform capabilities