ZenBusiness

Full-stack Engineer

• Create high-quality, predictable, observable code and deliver it to production
• Own the delivery of new products by working iteratively with the design, engineers and product owners to define and deliver new functionality
• Work in an agile, data-driven environment and have true ownership of the features you work on, from gathering requirements to delivering results
• Use data-driven decision making to improve your code (logs, usage analytics, monitoring)
• Serve as a technical leader and mentor for the engineering team, providing guidance and support to less experienced developers
• Contribute to knowledge sharing and continuous learning within the team and across the organization

Senior Software Engineer

Staff Software Engineer

Artificial Intelligence

• Define and measure conversation quality KPIs that align with product, support, and business goals.
• Conduct systematic quality audits of AI conversations using both quantitative metrics and qualitative assessment, flagging conversations that went well and those that need improvement.
• Analyze conversation data to identify failure patterns, drop-off points, conversion blockers, and untapped sales opportunities.
• Partner with product and engineering to translate analytical insights into specific improvements: prompt refinements, conversation flow redesigns or updates to logic for how our AI responds to queries.
• Establish quality assurance processes and frameworks that scale with conversation volume.
• Support the integration of conversational quality tools and frameworks into existing workflows and tooling.
• Present findings and recommendations to leadership with clear narratives connecting AI performance to business outcomes.
• Lead cross-functional initiatives.
• Own the AI conversation quality testing strategy, define standards, performance benchmarks, and a long-term improvement roadmap.

AI Conversation Analyst

• Analyze conversation transcripts and user feedback to identify areas of confusion, failure, and prompt leakage.
• Work with the Customer Impact Team Product Lead to define and track conversational KPIs (e.g., resolution rate, containment rate, user satisfaction).
• Optimize prompts and model selection for cost efficiency, response latency, and scalability in production environments.
• Collaborate with the engineers to improve conversation-specific evaluation criteria (e.g., NLU accuracy, intent recognition).
• Design and maintain evaluation frameworks to measure prompt performance using golden datasets and automated scoring (e.g., LLM-as-judge, rubric-based scoring, precision/recall of intent routing).
• Implement guardrails to reduce hallucinations, prevent prompt injection, and ensure compliant, safe responses.
• Collaborate on design, map, and implement complex conversation flows, including error recovery and contextual handoffs (escalation to human support).
• Own the continuous optimization of system prompts and instructions for LLMs (Gemini, OpenAI) to ensure Velo's response is accurate, tone is consistent, and on-brand.
• Design and optimize structured outputs, function calling, and tool-routing logic to ensure accurate data capture and downstream system integrations.

Conversational AI – Prompt Engineer

Product Operations

• Optimize product tools & processes
• Assess and evolve our product roadmapping & prototyping tooling (e.g., Jira, Confluence, Figma Make, etc) to improve clarity, flow, and automation practices.
• Identify and pilot AI-enabled opportunities to simplify those workflows, automate manual overhead, simplify Scrum ceremonies and improve decision-making.
• Establish lightweight, scalable product processes that teams actually want to use to streamline development.
• Clarify and manage Product Lifecycle milestones with teams.
• Build enablement & training programs
• Create documentation and training sessions that upskill teams on new tools, processes, and AI-powered workflows.
• Act as a force multiplier by ensuring Product teams can self-serve on common processes and tools.
• Enable focus and resourcing on priority work
• Be a thought partner to the VP of Product in assessing processes in place and areas for improvement.
• Partner with Product and Engineering leadership to ensure prioritized initiatives have clear ownership and realistic cross-team resourcing.
• Support capacity planning, tradeoff conversations, and dependency visibility across teams.
• Facilitate project intake processes and scope management to ensure clarity before work begins.
• Drive prioritization workflows and maintain visibility across Enterprise, Velo, Direct Customer Acquisition, GWOC, and WC Ops Platform teams.
• Help reinforce, iterate, and improve our shared operating model for how product work is prioritized, staffed, and delivered.
• Act as the connective tissue between cross-functional teams to surface dependencies, blockers, and resourcing constraints early.
• Run product strategy and ideation rituals
• In collaboration with the Product Operations team, design and facilitate product brainstorming and planning sessions aligned to company priorities and goals.
• Translate high-level strategy and goals into structured inputs that help teams generate strong product bets.
• Create repeatable forums and artifacts that drive alignment, momentum, and clarity.
• Act as a force multiplier for Product leadership
• Identify friction points, gaps, or inconsistencies in how product work gets done to bring about resolutions.
• Bring structure to ambiguity without adding unnecessary process.
• Serve as a trusted partner to executive leadership on how to scale the organization effectively.
• Roadmap Delivery
• Coordinate end-to-end delivery of certain top-priority projects.

Staff Product Operations Manager

Frontend Engineer

• Architect & Implement: Lead the development of complex React applications using modern patterns (Hooks, Context, Composition).
• Design System Leadership: Build, maintain, and document reusable component libraries to ensure visual and functional consistency across our entire ecosystem, MUI experience preferred.
• Performance & Best Practices: Optimize frontend performance, ensure accessibility compliance, and enforce clean code standards through rigorous peer reviews.
• Collaborative Design: Partner closely with Product Designers to translate Figma mocks into high-fidelity, responsive layouts, providing technical feedback on UI/UX feasibility.
• Full-Stack Awareness: Consume and occasionally contribute to API design (Node.js/Python) to ensure seamless data flow between the frontend and backend.
• Data-Driven Iteration: Use monitoring and analytics (logs, usage metrics) to identify friction points in the user journey and implement UI improvements.
• AI-Augmented Workflow: Champion the use of AI coding assistants (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate feature delivery, refactor legacy code, and maintain high test coverage.

Senior Software Engineer, Front End

Product Designer

• Lead the development of AI-driven automation and tooling for our design system — including automated component generation, design-to-code workflows, token management, accessibility checking, and other innovations that improve efficiency and quality
• Partner closely with Engineering to build and implement technical solutions, bringing a strong understanding of front-end development (HTML/CSS/JS) and implementation constraints to design decisions
• Experiment extensively with generative AI, identifying opportunities to integrate emerging technologies into design workflows, rapid prototyping, and product features
• Contribute to ZenBusiness's AI-powered product offerings, bringing a design perspective and technical understanding to shape experiences that feel coherent and thoughtful
• Collaborate with Design Systems and Brand partners to ensure automation and tooling reinforce brand guidelines, personality, and coherence across the platform
• Mentor designers and share knowledge across the team — helping others understand new tools, workflows, and approaches while fostering a culture of curiosity and continuous improvement
• Bring clarity to ambiguity by defining thoughtful paths forward, identifying opportunities, and rallying cross-functional partners around shared direction
• Advocate for experience quality and technical excellence, setting a high bar for craft, judgment, and innovation
• Explore and evaluate emerging technologies, forming opinionated views on how to incorporate them effectively into day-to-day work
• Build and maintain Figma plugins or similar tools that extend our design capabilities and streamline workflows