Engenious

Full-stack Engineer

• Build and ship end-to-end features across frontend and backend
• Design scalable APIs and services
• Develop clean, intuitive user interfaces
• Build and integrate AI-powered features into product workflows
• Work with LLM-based systems and AI-driven services
• Improve performance, reliability, and system architecture
• Collaborate with product, design, and AI teams (both Engenious and client-side)
• Contribute to technical decisions and engineering standards
• Mentor engineers and support team growth

Full-Stack Engineer

Analytics Engineer

• Build and own marketing data platform, ensuring accurate tracking, attribution, and reporting across all marketing and revenue channels
• Collect data and perform data modeling in BigQuery and dashboarding in Looker Studio
• Create and maintain dashboards in Looker Studio, ensuring data is accurate, actionable, and trusted by stakeholders
• Own end-to-end marketing tracking and attribution using GA4 and Google Tag Manager (GTM)
• Design and maintain accurate attribution across marketing channels (Google Ads, YouTube, LinkedIn, email, web platform)
• Build and maintain a centralized marketing data warehouse in BigQuery, integrating data from GA4, HubSpot, and other sources
• Develop and maintain SQL-based data models to represent user journeys, funnel stages, and campaign performance
• Configure and maintain HubSpot CRM, including lifecycle stages, properties, and pipelines
• Build and maintain end-to-end funnel reporting
• Identify and resolve data discrepancies across systems, ensuring consistency
• Support marketing campaign execution with proper tracking and performance monitoring
• Create and maintain tracking documentation, including event maps, UTM rules, and dashboard definitions
• Establish QA processes and launch checklists to ensure campaigns are tracked and reported.
• Deliver insights and recommendations on marketing performance, highlighting optimization opportunities.

Marketing Analytics Engineer

Sales Development Rep

• Proactively identify and source new leads through LinkedIn, Discord, communities, events, webinars, and other relevant channels
• Research and profile prospects based on fit, geography, career background, and likelihood to convert
• Reach out to leads via LinkedIn, email, calls, text, and other relevant communication channels
• Start meaningful conversations with prospects and uncover their current career challenges, goals, and level of urgency
• Position Engenious University’s AI Career Accelerator as a career-growth and career-stability solution
• Book qualified discovery or sales calls for the team
• Follow up with warm leads and nurture them through the pipeline
• Maintain accurate records in HubSpot and support pipeline hygiene
• Build and improve outreach cadences and follow-up sequences
• Collaborate with marketing to improve lead quality and conversion
• Suggest and test new SDR strategies for lead generation and conversion
• Use AI and automation tools to improve prospecting, prioritization, and outreach efficiency
• Support lead generation for specific initiatives such as webinars, offline events, and upcoming cohort launches

Sales Development Representative

Product Marketing

• Define and clearly communicate the product vision, goals, and long-term strategy.
• Collaborate with customers, internal stakeholders, and business leaders to gather feedback, identify needs, and translate them into actionable requirements.
• Track product performance using analytics platforms such as Mixpanel, Amplitude, and Google Analytics.
• Monitor and optimize key subscription metrics including retention, churn, CAC, LTV, and multipliers.
• Drive initiatives that integrate CRM tools (e.g., Keap, ActiveCampaign) into the product workflow.
• Collaborate with engineering and finance teams on payment processor integrations.
• Translate product strategy into actionable items and maintain a well-groomed, prioritized product backlog.
• Define clear and measurable acceptance criteria for features and support testing processes to ensure high-quality deliverables.
• Collect and analyze feedback from users, stakeholders, and market research to continuously iterate and improve the product.

Full-Stack Engineer

Marketing Analytics Engineer

Sales Development Representative

Product Owner – Product Marketing Manager