CreatorIQ

Financial Planning and Analysis

• Support the annual budgeting and quarterly forecast processes with a focus on accurate forecasting and variance analysis to provide the business understanding and support decision-making
• Create and maintain monthly and quarterly operational and ad-hoc reports demonstrating financial performance and key business metrics
• Provide in-depth analysis and commentary on monthly and quarterly actuals to plan variances in the income statement, balance sheet, and cash flow
• Ensure reporting accuracy across monthly, quarterly, and year-end report packages and presentation decks
• Update and enhance management reports, board presentations, and investor reports as requested
• Manage and maintain the financial models
• In collaboration with the VP of Finance, manage the implementation and maintenance of forecasting and reporting systems and tools
• Support business units with diligence and analysis surrounding new products, expansion of services, areas of growth, and efficiency. Serve as a point of contact in investigating/evaluating ad hoc business questions.

Financial Planning and Analysis Manager

Technical Account Manager

• Serve as the dedicated technical point of contact for a named portfolio of enterprise accounts, alongside their assigned CSM
• Conduct regular technical health reviews — assessing integration health, API usage, configuration gaps, platform adoption blockers, and integration best practices that drive enterprise customer stability
• Lead technical customer workshops and escalation discussions as the technical lead for assigned accounts
• Proactively identify technical risks before they become escalations; build remediation plans and see them through
• Guide customers through complex platform configurations, custom reporting setups, and integration architecture for CreatorIQ's NextGen platform
• Translate customer business goals into technical requirements and platform configurations within CreatorIQ
• Own the technical success plan for each account — documenting integration specs, data flows, custom setups, and known risks
• Lead customers through complex technical transformations, platform changes, and operational scaling initiatives while ensuring continuity and customer confidence
• Coordinate technical work streams across Product Support, Engineering, Product, and Implementation to ensure enterprise issues are prioritized, communicated clearly, and driven through resolution
• Provide customers with structured technical updates, remediation plans, risk assessments, and realistic delivery expectations during escalations
• Maintain accurate documentation of each account's technical configuration, integration architecture, and open technical issues in Notion and Zendesk

Technical Project Manager

• Lead end-to-end onboarding and implementation for CreatorIQ customers, from kickoff through go-live and handoff
• Align on customer requirements, technical feasibility, and implementation timelines
• Enable customers to confidently adopt and scale their use of the platform by configuring the CreatorIQ platform based on customer requirements, use cases, and package scope
• Support technical setup including data imports, integrations, and system configuration
• Work with APIs, data mapping, and workflows to ensure smooth platform adoption
• Serve as a platform expert, delivering tailored training sessions aligned to customer workflows and goals. Translate technical concepts into clear, easy-to-understand guidance for non-technical users
• Partner closely with Sales, Customer Success, Product, and Engineering teams
• Provide feedback to Product and Engineering to improve platform capabilities and implementation processes
• Apply implementation best practices and continuously improve onboarding processes
• Troubleshoot technical issues and provide solutions during onboarding
• Contribute to automation, tooling, and scalable implementation frameworks

Technical Implementation Manager

Customer Support

• Provide technical support via chat and email to CreatorIQ clients, ensuring a high-quality customer experience
• Troubleshoot and resolve complex technical issues, including platform configuration, integrations, and data-related problems
• Conduct screen-sharing sessions and live troubleshooting to guide clients through solutions
• Investigate, replicate, and diagnose reported issues in appropriate environments to identify root causes
• Analyze issue severity and impact, and prioritize or escalate to engineering or advanced support teams as needed
• Collaborate cross-functionally with Product, Engineering, and Customer Success to resolve issues efficiently
• Maintain and contribute to the knowledge base, including documentation, FAQs, and troubleshooting guides
• Educate customers on platform functionality, best practices, and “how-to” guidance to improve adoption
• Identify recurring issues and provide feedback to improve product quality and support processes
• Support continuous improvement of support workflows, tooling, and customer experience

Technical Product Support Specialist

Full-stack Engineer

• Maintain the quality of source code, whether writing or reviewing it.
• Deliver assigned tasks on time and in whole, following both Agile sprint timelines and established SLA (Service Level Agreement)
• Responsible for the resolution of production issues and providing precise, efficient fixes.
• Provide accurate task estimations during sprint planning sessions.
• Actively participate in support planning and Agile practice such as stand-ups, sprint planning, and retrospectives.
• Follow the defined software development lifecycle and Agile processes.
• Maintain personal JIRA discipline by updating tasks promptly and accurately.
• Suggest improvements for the support process, software development lifecycle, CI/CD, and QA.
• Collaborate with the team to ensure that Agile practices, including regular sprints and incremental development, are followed efficiently.

Full Stack Support Engineer

Machine Learning Engineer

• Deploy and monitor ML systems in production, from classical NLP and embedding models to LLM-powered features
• Own the evaluation stack - golden datasets, "model-as-a-judge" frameworks, inter-annotator agreement, and regression tests that gate releases
• Build and maintain our vector embeddings ecosystem and the retrieval, classification, and similarity patterns that sit on top of it
• Partner with Data Science on annotation workflows, PII scrubbing, and ground-truth pipelines
• Improve our MLOps foundations - versioning, observability, drift detection
• Translate fuzzy product problems into measurable AI features with clear success criteria

ML Engineer

Customer Success Manager

• Nurture strong, collaborative partnerships with a portfolio of high-value mid-market customers.
• Support customers in achieving meaningful outcomes through their influencer marketing programs.
• Analyze customer engagement data to identify risks and opportunities.
• Drive platform adoption through strategic business reviews and roadmap discussions.
• Collaborate with Implementation and Services teams to ensure successful onboarding.
• Act as the customer’s internal advocate, channeling product feedback to inform roadmap decisions.