
51 - 200 employees
Founded 2015
🤝 B2B
☁️ SaaS
🤖 Artificial Intelligence
B2B • SaaS • Artificial Intelligence
Apollo. io is an all-in-one sales platform designed to streamline and enhance sales operations from lead generation to deal management. The platform offers tools for contact and account search, scores and signals analysis, inbound optimization, sales engagement, and more, leveraging AI and a living data network for comprehensive sales intelligence. Apollo. io is ideal for sales professionals, marketers, and revenue operations teams aiming to enhance productivity and efficiency by automating workflow tasks and integrating CRM systems. With a focus on improving sales performance through analytics and conversation intelligence, Apollo. io helps businesses find the right leads at the right time, nurture those leads effectively, and close deals efficiently.
🔥 15 hours ago
Apollo
Distributed Systems
Docker
Google Cloud Platform
Kubernetes
Microservices
NoSQL
Redis
Ruby
Ruby on Rails
SQL
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51 - 200 employees
Founded 2015
🤝 B2B
☁️ SaaS
🤖 Artificial Intelligence
B2B • SaaS • Artificial Intelligence
Apollo. io is an all-in-one sales platform designed to streamline and enhance sales operations from lead generation to deal management. The platform offers tools for contact and account search, scores and signals analysis, inbound optimization, sales engagement, and more, leveraging AI and a living data network for comprehensive sales intelligence. Apollo. io is ideal for sales professionals, marketers, and revenue operations teams aiming to enhance productivity and efficiency by automating workflow tasks and integrating CRM systems. With a focus on improving sales performance through analytics and conversation intelligence, Apollo. io helps businesses find the right leads at the right time, nurture those leads effectively, and close deals efficiently.
• Design and implement highly scalable backend services, data pipelines, and integration endpoints • Gather product and engineering requirements, write design documents, and drive technical discussions • Lead the full software development lifecycle from product requirements through architecture, development, quality assurance, and maintenance • Build systems with monitoring, alerting, dashboards, and observability • Communicate development progress to product leads, engineering managers, and stakeholders • Introduce technologies and AI tools that accelerate individual and team workflows • Navigate ambiguity and roadblocks while maintaining project momentum • Participate in scrum ceremonies, team events, and manager 1:1s as part of a global team • Provide and respond to technical and behavioral feedback • Work across data platform architecture and integrations with distributed systems powering Apollo’s AI-driven internal workflows • Organize and structure data at scale with the data engineering team • Own the connections layer and distributed architecture linking Apollo to the broader ecosystem at high throughput
• Minimum 5 years of industry experience in backend development, including at least 1–2 years in senior positions, developing large-scale applications • Experience developing distributed web applications at scale • Code that is comprehensible, well-structured, and highly performant • Experience with database modeling (SQL or NoSQL) • Experience using and designing RESTful services • Strong knowledge of computer science fundamentals, including data structures, algorithms, and object-oriented design • Proven experience leveraging AI tools for code generation, debugging, and productivity optimization • Willingness to stay current with emerging AI technologies • Background in fast-scaling startup or high-velocity environments • Communication, problem solving, proactivity, teamwork, listening, creativity and innovation, organization and planning, ambiguity management, project ownership, and distributed web development • BS or MS degree in Computer Science, Computer Engineering, or similar is nice to have • GCP, Kubernetes, Docker, Mongo, Redis, Ruby on Rails, microservices, and machine learning are nice to have
• Hands-on mentorship and opportunities to grow and accelerate your career • Resources, support, and autonomy to own your role and make a real impact • Cross-departmental collaboration and team support • Freedom to experiment, take smart risks, and drive big wins
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