
AI • B2B • SaaS
Qualified is a platform that provides AI-driven solutions to enhance inbound pipeline generation and sales engagement. The company offers a range of AI-powered tools such as the AI Sales Development Representative (SDR), AI Conversations, AI Email for lead follow-ups, AI Meetings, AI Offers for personalized marketing, and AI Signals for understanding account-based buying intent. These solutions are designed to automate and optimize website visitor engagement and conversion, integrating with tools like Salesforce for a seamless experience. Qualified is focused on leveraging AI to maximize sales efficiency and improve the overall marketing and sales process for B2B companies.
September 18
🇺🇸 United States – Remote
💵 $170k - $230k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👮♀️ Software Engineering Manager
🦅 H1B Visa Sponsor

AI • B2B • SaaS
Qualified is a platform that provides AI-driven solutions to enhance inbound pipeline generation and sales engagement. The company offers a range of AI-powered tools such as the AI Sales Development Representative (SDR), AI Conversations, AI Email for lead follow-ups, AI Meetings, AI Offers for personalized marketing, and AI Signals for understanding account-based buying intent. These solutions are designed to automate and optimize website visitor engagement and conversion, integrating with tools like Salesforce for a seamless experience. Qualified is focused on leveraging AI to maximize sales efficiency and improve the overall marketing and sales process for B2B companies.
• Lead and Grow the Teams: Manage and mentor multiple teams. Hire and develop talent to support company growth and evolving product needs. • Own the AI Core Mission: Drive the roadmap for strategically integrating AI technologies, including LLMs and embeddings, to enhance product capabilities and ensure resilient, scalable systems. • Drive Foundational Systems: Lead development and maintenance of scalable, high-performance backend systems and guide design and implementation of robust data models to support RAG models' training and inference. • Champion Product-First Thinking: Instill a product-focused mindset to tackle technical challenges related to quality and performance and ensure core functionality is stable and reliable. • Collaborate Cross-Functionally: Partner with leadership and product teams to align on priorities, integrate technology into strategic decision-making, and deliver results that move the business forward. • Lead a fullstack product team to ensure seamless integration between backend and user-facing features.
• Experience managing engineering teams, ideally in high-growth environments with a focus on leveraging AI/ML technologies. • Strong background in fullstack development with proven proficiency in programming languages such as Ruby on Rails, Java, Python, or Go. • Hands-on experience in AI-driven application development, including experiment setup, dataset curation, model training, and deployment. • Experience working with SQL and RDBMS (PostgreSQL preferred). • A "driver" mindset: proactive, outcomes-oriented, and unafraid to roll up your sleeves when needed. • Strong communication and collaboration skills, especially in cross-functional leadership settings.
• Offers Equity • Offers Bonus • Remote (US/Canada) • Foundational Impact: As a key leader, you'll own the systems and teams that power our AI-driven platform at a pivotal moment of scale. You'll directly shape our approach to AI integration and backend systems. • High-Growth Environment: Establish best practices that will scale with rapid growth and expansion. • Cutting-Edge AI: Work on unique and challenging problems related to integrating AI into a B2B platform. • Close Leadership Collaboration: Partner with leadership and product teams to integrate technology into strategic decision-making. • Diversity & Inclusion: Committed to bringing together individuals from different backgrounds and perspectives; equal opportunity employer.
Apply NowSeptember 18
10,000+ employees
Lead Industrial & Power Generation engineering teams at AECOM, overseeing resource planning, quality, budgets, and technical delivery.
September 18
10,000+ employees
Lead Industrial & Generation engineering teams at AECOM, driving technical strategy, resource planning, and quality for power and industrial projects.
September 18
10,000+ employees
Engineering Manager leading Industrial & Power Generation engineering teams at AECOM, overseeing resources, quality, budgets, and continuous improvement.
September 18
10,000+ employees
Engineering Manager leading industrial and power generation engineering at AECOM. Oversee department engineering capabilities, resource planning, budgets, and continuous improvement.
September 18
10,000+ employees
Engineering Manager leading Industrial & Generation engineering teams at AECOM. Oversee technical capabilities, resource planning, budgeting, and continuous improvement.