Bizee powered by Incfile

Data Scientist

• Own the data strategy, architecture, and intelligence capabilities for Bizee.
• Design the data structures that power customer intelligence, marketing analytics, jurisdictional compliance, and financial reporting.
• Lead a team of approximately 3-4 Technical Leads, Principal Data Scientists, Analysts, and Engineers.
• Partner directly with Platform Engineering, Product, and Marketing leadership.
• Ensure the data foundation enables subscription transformation, lifecycle marketing, and AI-powered product experiences.
• Use AI tools to accelerate work and team processes.
• Design data systems with AI consumption as a requirement.

Head of Data, Analytics

Full-stack Engineer

• Architecture Leadership: Lead solution design for the highest-complexity initiatives across both product and platform domains. Deliver technical designs that balance speed-to-market with long-term platform health. You own the intercept point where product needs and platform capabilities meet.
• AI-Powered Product Delivery: Design and ship AI-powered features into production (intelligent recommendations, automated compliance, predictive lifecycle, or similar). These should demonstrate real customer value, not AI for the sake of AI.
• Platform Evolution: Own and deliver critical modernization efforts spanning service decomposition, event-driven architecture, and data migration. Design for intelligence from the start, not as an afterthought. Ensure platform investments directly unblock product delivery.
• Engineering Craft: Establish and enforce coding standards, review guidelines, and architectural patterns across all engineering teams. Measurable improvement in code review cycle time and defect escape rate. Raise the quality bar so that every team ships with confidence.
• Cross-Domain Integration: Serve as the connective tissue between product engineering and platform engineering. Ensure shared services, APIs, and data contracts are designed for reuse across retail, commercial, and partner channels. Prevent architectural drift between squads.
• Technical Mentorship: Directly mentor Technical Leads across both product and platform domains on architecture, engineering craft, and AI-native development practices. At least 2 Tech Leads demonstrating measurable growth in technical decision-making.
• Incident Response: Serve as the senior escalation point for P1/P2 production incidents across engineering. Reduce mean time to resolution by 40%.

Principal Software Engineer

• As a Technical Lead, you lead a squad of 4-6 engineers responsible for one of Bizee's core engineering domains.
• This could be a product domain (Growth, Customer Experience, Agent Experience, Partner Enablement) or a platform domain (Core Services, Shared Infrastructure, Data Engineering).
• You are the technical owner for your domain, responsible for both engineering quality and delivery outcomes.
• You spend 60%+ of your time writing production code and reviewing PRs.
• The rest goes to squad coordination, sprint planning, technical mentorship, and cross-squad alignment.
• This is an AI-native engineering role. You use AI tools daily to accelerate your own development and actively coach your squad on effective AI adoption.
• Reports to Engineering Manager. Works closely with Product Manager (for product squads), Principal Engineer, and peer Technical Leads on priorities and technical direction.
• Ship AI-powered features, intelligent automation, or reusable platform capabilities into production within your domain that deliver measurable customer or business value.

Technical Lead

AI Engineer

• Build the intelligence layer of Bizee's platform
• Own AI systems for personalized recommendations and intelligent automation
• Lead a team of 3-6 AI/ML engineers while being hands-on
• Report to the Head of Platform and partner closely with Data, Product, and Growth teams
• Build systems for recommendations, intelligent automation, AI infrastructure, and LLM integration
• Hire, develop, and retain AI/ML engineers

Lead AI Engineer

Engineering Manager

• Lead the teams that build Bizee's customer-facing experiences.
• Manage 3-5 Technical Leads across ~20 engineers.
• Be involved in code reviews, architecture discussions, and sprint retros.
• Demonstrate how to use AI tools effectively.
• Drive velocity and quality to boost company valuation.

Engineering Manager, Product

Data Engineer

• Build the data infrastructure that powers Bizee
• Design and implement data pipelines, build the Master Data Repository (MDR)
• Integrate with NetSuite and other business systems
• Ensure data quality across the organization
• Write code every day. You will own pipelines end-to-end
• Report to the Technical Lead, Data Platform and work closely with Finance, Product, and AI teams

Senior Data Engineer

Data Analyst

• Transform raw data into insights that drive business decisions: understanding customer behavior, measuring product performance, tracking unit economics, analyzing jurisdictional patterns, and identifying opportunities for growth.
• Build Customer Intelligence: understanding who our customers are, how they behave, and what drives retention.
• Build Jurisdictional Intelligence: analyzing patterns across 50+ states to optimize pricing, identify compliance risks, and inform product strategy.
• Use AI tools to write SQL faster, explore data, and generate initial dashboard designs. AI makes you more productive, not less valuable.
• Partner with teams like Product, Finance, Operations, and Growth to deliver insights.

Senior Data Analyst

Product Designer

• You will be the visionary Director of Experience Design, responsible for defining the strategy and leading the execution of design across the entire Bizee ecosystem.
• Your role is pivotal in ensuring brand clarity at every touch point, spanning both our web presence and product experience.
• You will own the holistic customer experience, ensuring a cohesive, high-quality design language is applied across all touchpoints, from initial awareness to complex in-app service consumption.
• You are a business-minded, hands-on design leader obsessed with customer psychology, brand consistency, and service design.
• You will partner deeply with Product, Engineering, and Marketing to build flexible, scalable design systems that enable rapid experimentation and brand consistency.
• You will be a key design contributor influencing the broader executive team on brand experience and user-centric strategy.
• Launch a scalable, AI-ready design system that ensures consistency across all customer-facing touchpoints (product, brand, and marketing).
• Partner with Marketing and establish a creative direction and visual standards for all marketing campaigns, brand assets, and the Bizee corporate website.
• Partner with Product to redesign the post-purchase experience, ensuring high adoption and a measurable reduction in early churn.
• Lead the design of a proactive "Member Center" that empowers entrepreneurs to manage their services and recognize value easily.
• Partner with Platform Engineering to run weekly A/B tests on UI elements, onboarding flows, and in-app support triggers.
• Integrate design-led feedback loops (CSAT/NPS) into the product experience to ensure we are meeting the psychological needs of our users.
• Deploy new design patterns for interacting with AI-powered features, increasing long-term engagement and trust.

Director of Experience Design

• You own the intelligence foundation of the Bizee OS.
• You will design and deliver the enterprise data platform that powers Bizee's transformation from a transaction-based business formation company to a subscription-driven entrepreneur services platform.
• Document and begin executing a data strategy aligned to business model transformation (transaction to subscription).
• Establish Master Data Records for core domains (Customer, Product, Jurisdiction, Transaction) with definitions, reconciliation, and governance.
• Implement Marketing Mix Modeling (MMM), CAC dashboards by channel, and attribution system enabling Growth team to optimize spend.
• Build the data foundation that powers customer intelligence, product decisions, compliance automation, and AI/ML systems.
• Deliver unit economics models, LTV:CAC analysis, cohort profitability, and subscription metrics integrated with financial planning.
• Ensure reliable data flow across CMS, NetSuite, payment systems, and customer applications with clear ownership and SLAs.
• Business intelligence layer delivering decision-ready insights to leadership and board.

Head of Data, Analytics, Intelligence

Customer Support

• Launch a unified framework to measure and increase customer value perception, driving service engagement.
• Re-architect the onboarding and initial service consumption flow to ensure high adoption and measurable reduction in early churn.
• Implement a robust, proactive 'Member Center' experience that empowers entrepreneurs to manage their services, recognize value, and reduces active and passive churn.
• Partner with Platform Engineering to run weekly A/B tests on onboarding steps, in-app support, and proactive retention triggers.
• Ensure 100% data integrity between customer actions (engagement, support tickets, usage) and our Customer Health Score reporting systems.
• Deploy AI-powered personalization throughout the in-app experience to surface relevant service usage tips and proactive support, increasing long-term engagement.

Principal Product Manager – Customer Experience

Product Manager

• Monetization Strategy: Launch a unified pricing and packaging framework that supports tiered subscriptions, add-ons, and dynamic bundling.
• Checkout Revolution: Re-architect the checkout flow to reduce friction, resulting in a measurable lift in conversion and attach rates.
• Subscription Lifecycle: Implement a robust "Member Center" allowing entrepreneurs to manage, upgrade, and renew services with zero-touch support.
• Experimentation Engine: Partner with Platform Engineering to run weekly A/B tests on pricing, promotions, and upsell triggers.
• Revenue Operations: Ensure 100% data integrity between commerce events and financial reporting systems.
• AI-Driven Commerce: Deploy AI-powered recommendations in the purchase flow to increase average order value (AOV) based on user intent.

Principal Product Manager – Commerce

Technical Program Manager

• Define and implement the engineering operating model: how work enters, gets prioritized, planned, executed, and delivered
• Establish intake queue management with clear criteria for request acceptance, routing, and initial sizing
• Build prioritization framework balancing business value, technical debt, platform health, and strategic initiatives
• Create solution design process ensuring technical approach is documented before development begins
• Design and enforce cadence: sprint planning, standups, reviews, retrospectives, and quarterly planning cycles
• Run end-to-end program management for platform modernization, Data, AI initiatives, infrastructure work, and cross-team dependencies
• Define roadmaps, milestones, risks, and reporting for platform, data, and AI programs
• Translate complex systems work into clear, actionable execution plans with owners and deadlines
• Drive execution across AI-powered workflows, automation, and ML model integration
• Support rollout of API-first foundations, event-driven architecture, and system re-architecture
• Build and maintain executive dashboards showing program health, velocity trends, risk exposure, and delivery confidence
• Create team-level dashboards for sprint progress, cycle time, throughput, and work-in-progress limits
• Define leading and lagging indicators that surface problems early and drive accountability
• Translate technical metrics into business impact language for stakeholder consumption
• Partner with security and compliance to define, document, and operationalize SOC 2 processes within engineering
• Establish change management procedures with appropriate documentation and approval workflows
• Create and maintain evidence collection processes for audit readiness
• Ensure engineering practices align with security controls and compliance requirements
• Align Engineering, Platform, Data, AI/ML, Product, and Design around a unified execution rhythm
• Ensure dependencies, sequencing, and resource needs are visible and well-managed
• Facilitate decision-making, unblock teams, and ensure outcomes stay on track
• Partner with Head of Data & AI and Head of Platform Engineering to ensure technical initiatives land cleanly