At IDnow, we believe innovation is finding solutions to problems that don’t yet exist but are sure to impact our future. Making the connected world a safer place is and has been our vision from the very beginning.
Our identity verification SaaS solutions enable businesses to make reliable, informed decisions in an instant. We offer robust, secure and seamless solutions to protect against player fraud, identity theft or forging signatures. It is not only mandatory and reduces business loss, but it also becomes a highly competitive advantage, as customer experience and retention rates improve substantially. We help our clients to increase security, improve customer conversion, and streamline their onboarding process.
We understand that regulation and our clients’ requirements are constantly evolving, so we evolve with them. Thanks to our close relationships with industry regulators, our solutions comply with multi-jurisdictional KYC ("Know Your Customer") regulations, allowing customers to process a wide variety of identity documents, and onboard and service consumers from all around the world in different markets and countries.

PREFERRED EXPERIENCE

• Bachelor’s degree in Business, Data Science, Computer Science, or a related field (or equivalent experience).
• 1-2 years of experience in sales operations, business operations, or a related role.
• Strong interest or experience in AI tools and their application in business processes (e.g., machine learning models, natural language processing, predictive analytics).
• Proficiency in CRM platforms (e.g., Salesforce, HubSpot) and programming/scripting languages (e.g., Python, SQL) and familiarity with BI tools (e.g., Tableau, Power BI).
• Experience in building reports and dashboards tailored to different stakeholder needs.
• Basic understanding of automation tools (e.g., Zapier, RPA tools) is a plus.
• Analytical mindset with strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

We are seeking a dynamic and tech-savvy Junior Sales Operations & AI Specialist to join our growing team. This hybrid role combines the core responsibilities of sales operations with a specialist focus on leveraging AI tools to optimize and enhance the entire Lead-to-Churn process. Additionally, you will act as a report builder for stakeholders across the commercial team, creating tailored reports and dashboards within various commercial tools to drive decision-making and performance tracking. And your third area of focus will be CRM data hygiene, overlooking accounts and commercial data accuracy and consistency on the CRM.

• Sales Operations Support:
• Assist in managing and optimizing sales processes, tools, and workflows.
• Maintain and update CRM systems (e.g., Salesforce, HubSpot) to ensure data accuracy and efficiency.
• Analyze sales performance metrics and provide actionable insights to improve productivity and outcomes.
• AI Implementation & Optimization:
• Identify opportunities to integrate AI tools across the Lead-to-Churn process, including lead scoring, forecasting, customer segmentation, and churn prediction.
• Evaluate, implement, and configure AI-driven solutions to enhance data analysis, reporting, and decision-making.
• Collaborate with cross-functional teams to ensure AI tools are effectively integrated into existing systems and processes.
• Report Building & Stakeholder Support:
• Act as the go-to person for building and customizing reports and dashboards for stakeholders within the commercial team.
• Develop and maintain reporting solutions across various commercial tools (e.g., CRM, marketing automation platforms, BI tools).
• Translate stakeholder requirements into actionable and insightful reports that address specific business needs.
• Ensure reports are visually clear, easy to interpret, and provide actionable insights.
• Data Management & Process Automation:
• Ensure seamless data flows between sales, marketing, and customer success tools.
• Automate repetitive tasks and workflows using AI and other automation tools.
• Monitor and troubleshoot data integrity issues, ensuring high-quality data for decision-making.
• Collaboration & Training:
• Work closely with sales, marketing, and customer success teams to understand their needs and challenges.
• Provide training and support to team members on new tools, AI-driven processes, and reporting solutions.
• Act as a liaison between technical teams and business stakeholders to ensure alignment.