About the Role
About Dialpad
Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage.
Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved.
Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile.
Being a Dialer
At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.
We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.
We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
Your role
Dialpad’s Product Engineering organization is responsible for building and maintaining the customer-facing features at scale across all of our cloud-native products and services. Every day, millions of users worldwide leverage our technology to communicate effectively and efficiently.
Every engineer on our global engineering team has the opportunity to take ownership of a large portion of the product, enabling them to see immediate results. Combining natural language processing and artificial intelligence with world-class cloud computing, the things you’ll create at Dialpad will shape the future of work—enabling companies to work from anywhere and making business communication more human.
Dialpad’s Analytics team owns data pipelines, multiple databases, a modular query layer, and rich FE components to deliver intuitive, powerful end-user-facing analytics experiences that enable Dialpad customers to make data-driven business decisions. Our teams are highly collaborative and comprise cross-disciplinary professionals, including Product Managers, Designers, QA specialists, and Engineers specializing in Data Engineering, Data Science, and Telephony.
This position reports to the Engineering Manager, based in Bengaluru, and will be based in our Bengaluru, India, Office. The position will require a hybrid working arrangement based out of our Bengaluru office.
What You’ll Do
- Contribute to the design, development, and maintenance of information retrieval and distributed systems.
- Build and optimize search engines, including indexers, analyzers, ranking, and re-ranking strategies.
- Work on hybrid search techniques, including dense vector manipulation, rank fusion, and reranking.
- Maintain and enhance highly scalable search platforms with a focus on performance and cost efficiency.
- Ensure high availability, reliability, and fault tolerance in search services.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Develop and optimize real-time distributed systems, microservices, and message-driven architectures.
- Implement and maintain monitoring, alerting, and performance metrics for platform reliability.
- Evaluate and integrate emerging technologies to improve search capabilities.
- Write clean, modular, and well-tested code.
Requirements
Search Engine Development
Experience in building and optimizing search engines.
Distributed Systems
Strong knowledge of information retrieval and distributed systems.
Real-time Systems
Ability to develop and optimize real-time distributed systems.
Cross-functional Collaboration
Experience working with cross-functional teams to deliver technical solutions.
Nice to Have
Familiarity with natural language processing techniques.
Experience with cloud-native products and services.
Benefits
Hybrid Work Arrangement
Flexible working options between home and office.
Professional Development
Opportunities for continuous learning and growth.