Qualified

Backend Engineer

• Develop customer-focused applications by building new features, improving existing ones, and creating entirely new products
• Utilize the latest advances in machine learning, LLMs and other AI technologies to enhance our products and deliver reliable, scalable systems
• Collaborate closely with Product Managers, Product Designers, and Platform Engineers to ideate and develop mission-critical applications
• Conduct rapid prototyping and iterative development to enhance AI solutions based on real-world performance and user feedback
• Ensure core functionality is stable, scalable, well-maintained, and continuously improving
• Design and evolve system architecture to support scalable, reliable AI agent execution in asynchronous environments
• Scale and harden infrastructure for high-throughput workloads, including queueing, scheduling, backpressure, retries, and robust observability
• Build and operate event-driven services using queues/streams and reliable message processing patterns
• Continuously grow technical skills to tackle challenges related to quality, performance, robustness, and reliability
• Mentor other engineers and set standards of engineering excellence
• Support and scale highly-available, highly-trafficked services essential for customers' time-sensitive, business-critical needs

Software Engineer, Backend - Product

Full-stack Engineer

• Develop customer-focused applications by building new features, improving existing ones, and creating entirely new products.
• Utilize the latest advances in machine learning, LLMs and other AI technologies to enhance our products and deliver delightful user experiences.
• Collaborate closely with Product Managers, Product Designers, and Platform Engineers to ideate and develop mission-critical applications.
• Conduct rapid prototyping and iterative development to enhance AI solutions based on real-world performance and user feedback.
• Ensure our core functionality is stable, scalable, well-maintained, and continuously improving.
• Continuously grow your technical skills to tackle our toughest challenges related to quality, performance, robustness, and reliability.
• Contribute to our team’s culture and future by mentoring other engineers and setting standards of engineering excellence.
• Support and scale highly-available, highly-trafficked services essential for our customers' time-sensitive, business-critical needs.
• Own end-to-end delivery and success of features: coding, testing, deployment, monitoring, and customer rollout.
• Work closely with customers, gathering immediate feedback to continuously improve our products.

Software Engineer, Full Stack – Product

• Own the end-to-end delivery of customer-focused applications, building new features, improving existing ones, and creating entirely new products
• Utilize advances in machine learning, LLMs, and other AI technologies to enhance product offerings
• Partner closely with Product Managers, Product Designers, and Platform Engineers to ideate and develop mission-critical applications
• Conduct rapid prototyping and iterative development to enhance AI solutions based on real-world performance and user feedback
• Ensure core functionality is stable, scalable, well-maintained, and continuously improving
• Continuously grow technical skills to tackle challenges related to quality, performance, robustness, and reliability
• Mentor other engineers and contribute to team culture and engineering excellence
• Support and scale highly-available, highly-trafficked services essential for customers' time-sensitive, business-critical needs

Senior Software Engineer, Full Stack – Product

Technical Product Manager

• Define and execute the strategy that integrates Qualified into the sales and martech ecosystem, driving next-generation extensibility across APIs and agent-based paradigms
• Own the extensibility strategy and roadmap across APIs, MCP/A2A, native integrations, third-party interfaces, and developer tools
• Work with engineering and architecture teams to design scalable, developer-friendly APIs
• Build out an effective developer program and portal, monitor API usage patterns, and solicit developer feedback
• Track adoption of APIs and integrations using clear, outcome-focused metrics and use insights to guide priorities
• Research LLM platforms and extensibility ecosystems to keep Qualified at the leading edge
• Lead complex, cross-team initiatives from early concept through to customer success
• Prototype early solutions, ship iteratively, and refine based on data and developer feedback
• Partner closely with design, engineering, and architecture teams to make trade-offs for speed, scalability, and user experience

Lead Technical Product Manager, Extensibility

• Develop and maintain scalable, high-performance backend systems foundational to our product's functionality.
• Determine the best ways to incorporate LLMs, embeddings, and other AI technologies into Qualified’s platform.
• Architect and execute robust ETL pipelines for managing and standardizing data from diverse sources to support RAG model training and inference.
• Ensure the core functionality of the product is stable, scalable, well-maintained, and continuously improving.
• Own features end-to-end from ideation through coding, testing, deployment, monitoring, and customer rollout.
• Collaborate closely with customers to gather immediate feedback and refine the platform.
• Mentor fellow engineers and champion product-focused engineering standards and excellence.

Senior Software Engineer, Backend – AI Core

Program Manager

• Responsible for the successful delivery of strategic programs, including defining program scope, metrics, roadmaps, and milestones.
• Manage resources, track progress, address dependencies, constraints, and adjust plans, if priorities shift.
• Lead major initiatives, including platform migrations, APIs and integrations, large customer projects, and security and compliance programs. Align stakeholders across Product, Engineering, GTM, and Operations through clear communication, regular executive updates, and collaborative planning sessions that keep teams engaged and focused on shared outcomes.
• Create dashboards, status updates, and operational rhythms that enhance predictability, increase transparency, and empower executives to make informed decisions.
• Leverage technical fluency to understand APIs, architecture decisions, and dependencies, helping teams make tradeoffs and resolve blockers quickly.
• Introduce scalable processes, frameworks, and tools that improve repeatability and set the foundation for predictable program delivery across the organization.
• Define measurable success criteria, evaluate program performance against those metrics, and run retrospectives to capture learnings and drive continuous improvement.

Senior Program Manager

• Lead the design and implementation of secure, fault-tolerant, and robust cloud infrastructure on public cloud services.
• Contribute directly through hands-on coding to develop innovative software tools and implement streamlined automation processes.
• Plan and execute timely launches of infrastructure upgrades and changes to enable faster execution, improved scale, and increased cost efficiency.
• Evolve Continuous Integration and Deployment in a multi-service environment, reducing complexity and increasing resilience.
• Leverage DataDog, Sentry, and other tools to monitor system infrastructure and configuration for disruption, anomalies, or evidence of intrusion.
• Define, promote, and maintain runbooks and operating procedures; create and maintain system and architecture diagrams and documentation.
• Mentor and support the development team, acting as a force multiplier and aiding their growth and productivity.
• Embrace a startup culture: be adaptable, comfortable with ambiguity, and capable of wearing multiple hats.

Software Engineer, Infrastructure

• Qualified is the Agentic Marketing Platform for B2B companies.
• Build internal tooling that powers how we operate and support our customers.
• Emphasizes rapid experimentation and iteration, with engineers owning delivery and success of features.
• Tackle technical problems from streamlining troubleshooting workflows to developing systems that help teams uncover root causes faster.
• Lead projects end-to-end: identifying pain points, coding, testing, deployment.
• Collaborate closely with customers and internal teams, gathering immediate feedback to ensure solutions deliver real impact.
• Scale support infrastructure to handle increasing complexity while maintaining high customer satisfaction.