NineTwoThree Studio

• Lead projects end-to-end — from technical strategy to execution. • Architect solutions and apply best practices for scalable, AI-powered products. • Guide and mentor engineers, ensuring quality while delivering fast. • Connect the dots between product vision, technical feasibility, and business needs. • Communicate options, trade-offs, costs, and timelines clearly to both our team and client. • Solve hard problems, direct implementation, and coordinate technical challenges with clients.

• Architect & Build AI Features: Design and implement robust classical ML and generative AI solutions, striking the right balance between autonomous agentic architectures and deterministic pipelines. • Evaluate: Design and maintain evaluation frameworks to measure AI quality, reliability, safety, and business impact before and after deployment. • Integrate & Deploy: Partner closely with full-stack developers and DevOps to seamlessly integrate AI capabilities into client web and mobile applications using serverless architecture (e.g., AWS Lambda) or API endpoints. • Optimize for Production: Refine prompts, system instructions, and chunking strategies to balance accuracy, latency, token consumption, and data privacy. • Traditional Predictive Analytics: Clean and process unstructured or historical client data to train/fine-tune custom algorithms for specific business problems (such as forecasting, classification, or anomaly detection). • Collaborate & Communicate: Actively participate in client discovery sessions, translate ambiguous business requirements into viable technical scopes, and demo prototypes directly to stakeholder teams. • Maintain Engineering Excellence: Engage in constructive code reviews, implement rigorous validation patterns to test AI outputs, and contribute templates or runbooks to our internal AI knowledge base.

• Lead the end-to-end design process, for client projects and the NineTwoThree brand, from concept to developer-ready handoff. • Work inside our existing component system (Chakra UI and its Figma UI Kit): reuse and extend it, customizing per client with minimal divergence and minimal engineering rework, instead of reinventing components. • Produce wireframes, prototypes, and high-fidelity UI in Figma to communicate solutions and test hypotheses. • Conduct competitive analysis and usability testing to validate decisions, favoring familiar, proven patterns over trends. • Treat developer implementation cost as a first-class design constraint: prefer the solution that ships fastest from our component library over the one that looks the most novel. • Innovate in information architecture and layout: decide what to surface, what to hide, and where things live, so the main workspace gets the screen space rather than endless menus, filters, and navigation. • Collaborate with product managers, engineers, and stakeholders to translate complex requirements into usable designs, and defend your decisions with user needs and business goals. • Speed up the design process with AI tools, and help raise the team's craft and design culture.

- Manage 2 to 3 active clients and projects simultaneously, maintaining a clear understanding of project status, timelines, and identifying any potential blockers that require attention. - Research the client’s market to understand industry trends, competitive landscape, and opportunities for differentiation - Work with the client and additional stakeholders to understand their product vision and define requirements for the full initial product scope - Work directly with product designers to translate client requirements into intuitive, user-friendly designs and ensure seamless integration with the development process - Define user stories and requirements for project managers to implement into tasks and acceptance criteria for development and QA - Lead weekly client meetings to provide updates, discuss project progress, and demo development milestones. - Manage client expectations, including facilitating difficult conversations around scope and prioritization to ensure that budget and timeline requirements are met. - Support sales activities by joining prospect calls and writing proposals, scoping documents, and timelines. - Identify and manage opportunities to up-sell clients on additional product features, marketing services, or ongoing maintenance and support contracts.

• As the Account Manager for the Automation Team, you are the primary customer advocate, ensuring clients receive maximum value from their engagement while serving as the main escalation point for project decisions. • Strategic Lead Management: Orchestrate the outreach and segmentation of our existing lead flow to identify high-value opportunities. • Discovery & Technical Scoping: Prepare and conduct discovery calls that translate vague business problems into specific AI-driven technical requirements. • AI Feasibility Analysis: Evaluate client data and objectives to determine if a solution is both technically possible and economically viable before the proposal stage. • Rapid Validation Sprints (RVS): Lead the transition of projects from initial interest into high-velocity 2-week "stress tests" to prove technical viability. • SOW & Proposal Drafting: Draft detailed Statements of Work in PandaDoc that define clear milestones, technical deliverables, and success metrics for AI implementations. • Client Relationship Leadership: Serve as the sole point of contact for all client communications, providing weekly updates and managing expectations throughout the project lifecycle. • Strategic Roadmapping: Help clients look beyond current projects to book out 30-90 day roadmaps for every client under contract, ensuring continuous value delivery. • Performance Monitoring: Use our automated AI call-scoring system to ensure every interaction meets NineTwoThree’s high standards for strategic alignment and relationship building.

• Own Monday.com and Notion. Build, maintain, and improve the marketing boards. Templates with cascading dates for every recurring project (podcast episodes, YouTube videos, newsletters, blog posts, lead magnets, campaigns). Keep statuses current. Run the weekly marketing review. Chase blockers. Make sure every piece of work has a clear owner, due date, and next step. • Own the email program in HubSpot. This is one of the most important parts of the job. Build and send newsletters, nurture sequences, and lifecycle automations. Architect the segmentation strategy: who's a subscriber, who's an MQL, who's a customer, who's lapsed, and what each segment should receive. Build clean lists, manage suppressions, run A/B tests, monitor deliverability, and tune open and click rates over time. You're the person who knows where every contact is in the journey and why. The Content Marketing Manager writes the copy; you make the program run. • Book and coordinate developer, designer, and QA hours. You don't build the website, design the assets, or QA the work yourself. You scope it, book the hours, brief the right person, manage the queue, and make sure each piece comes back on time and meets the brief. You own the calendar of who's working on what, by when, for whom. When the developer needs context, you have it. When the designer needs the brief, you wrote it. When QA finds an issue, you triage it and route it back. • Run production workflows. Move every piece of work from idea to draft to edit to design to publish to distribution, across blog, email, podcast, YouTube, social, and gated assets. You don't write or design the content; you make sure every handoff happens on time and nothing gets dropped between teams. • Build and run workflow automations. Use AirOps, Claude, Claude MCPs, Zapier, and HubSpot workflows to remove repetitive work from the team. Spot the steps that get done the same way every week and turn them into automations. This is a real responsibility, not a side hobby. You should already think this way. • Manage the website production pipeline (not the build). Coordinate everything that ships on the site: new landing pages, blog posts, case studies, page updates, and copy swaps. You publish straightforward CMS items (blog posts, case studies) yourself in Webflow. Anything beyond that, you brief and book out to the developer, then QA the result before it goes live. • Maintain the marketing tech stack. Keep tools connected (HubSpot ↔ Webflow ↔ Monday ↔ Notion ↔ analytics). Catch broken integrations early. Document how everything fits together so the team isn't relying on tribal knowledge. • Own reporting. Keep dashboards in DataBox, HubSpot, and Google Analytics current and trustworthy. Pull weekly metrics across email, web, SEO, and content production. Surface what's slipping before anyone has to ask. Build the reporting cadence that lets the Marketing Team Lead and CEO see the state of the engine at a glance. You don't have to interpret the data strategically, but the numbers are your responsibility, accurate, current, segmented, and visible. • Run the operational rhythm. Weekly status across all marketing initiatives. Monthly tech stack and process audits. Quarterly review of which templates and workflows are working and which need to be rebuilt. You hold the cadence so the rest of the team can focus on creative work.

• Review documentation and analyze requirements; • Plan and estimate testing activities; • Design test plans, scenarios, scripts, and procedures; • Report and document technical issues, report bugs and errors to development teams; • Create test cases; • Perform manual Functional, Regression, and Exploratory testing (Web, Mobile); • Conduct post-release/ post-implementation testing; • Monitor applications and software systems; • Present findings to software development and business user teams; • Effectively collaborate with team members to achieve the best results.

• Own the content strategy • Build and run a content engine across blog, email, social, and gated assets • Drive SEO and AEO • Build AI-powered marketing workflows using tools like AirOps, Claude, etc. • Write exceptional copy for various formats • Create new offers and lead magnets • Extract expertise from technical staff for content • Run email marketing in HubSpot • Manage work in Monday.com and Notion • Collaborate with design and web teams • Report on performance metrics using analytics tools

• Building, shipping, and supporting AI-powered tools and automations for 923 AI Automation clients. • Work with tools like Claude Code, the Anthropic API, and AI-augmented low-code platforms to deliver real systems to real clients, end-to-end. • Frame complex, ambiguous problems and work through them to clear solutions. • Ideate, build, and see things ship — then explain clearly how and why they work. • Engage directly with clients rather than being deep in code with minimal contact. • Shape the way the department works as it scales — contribute to project templates, runbooks, and reusable components.

• Building, shipping, and supporting AI-powered tools and automations for 923 AI Automation clients. • The role sits at the intersection of product thinking and AI engineering — closer to “product manager who builds confidently with modern AI development tools” than “AI research engineer.” • You'll work with tools like Claude Code, the Anthropic API, and AI-augmented low-code platforms to deliver real systems to real clients, end-to-end. • You'll probably enjoy this role if you: - Like framing complex, ambiguous problems and working through them to clear solutions - Enjoy ideating, building, and seeing things ship — then explaining clearly how and why they work - Prefer direct interaction with a mentor over distant management - Want autonomy and trust, not oversight for its own sake - Want to understand why you're building something, not just what to build - Are energised by seeing the whole picture — how a project connects to a client's business, a team's operations, and an emerging practice • You'll probably find this role frustrating if you: - Prefer to work deep in code with minimal client or stakeholder contact — the role sits in the middle of client delivery, not behind it - Are looking for a role with highly structured processes, detailed specifications, and predictable work — this department is actively shaping its own way of working, and the person in this seat will be part of that shaping • This is the intersection of product thinking and AI engineering.