About Dialpad
Dialpad is the leading AI-powered customer communications platform, transforming how businesses communicate with their customers. More than 50,000 companies around the globe — including Netflix, RE/MAX, Uber, Randstad, and Tractor Supply — rely on Dialpad to build stronger customer connections using real-time, AI-driven insights. Visit dialpad.com to learn more.
Being a Dialer
At Dialpad, you’ll be part of a collaborative team working toward our shared mission of making our customers and their employees wildly successful. We believe that every conversation matters, and we're elevating each one with a platform that drives real-time insights and automation for our customers.
We thrive on continuous evolution, where every employee leverages industry-leading AI to constantly refine our platform and our own skills. We seek individuals who not only meet our high standards but go beyond them. Our ambition is significant, and achieving it requires a team that operates at the highest level. We look for individuals who are not just ambitious but who also possess the traits that are fundamental to our success: 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 across the world leverage our technology for communicating effectively and efficiently.
Every engineer on our global engineering team is given the opportunity to take ownership of a large portion of the product where they’re able 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 and powerful end-user-facing analytics experiences that allow Dialpad customers to make data-driven business decisions. Our teams are highly collaborative and comprise cross-disciplinary professionals, including Product Managers, Designers, QA specialists, as well as Engineers specialising in Data Engineering, Data Science, and Telephony.
This position reports to the Engineering Manager, who is based in Bengaluru, and the role 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 while following best engineering practices.
- Participate in code reviews to ensure quality, maintainability, and scalability.
- Provide mentorship and technical guidance to junior engineers.
- 3-6 years of experience in information retrieval or distributed systems engineering.
- Strong understanding of search platforms and experience maintaining search engines at scale.
- Deep knowledge of indexers, analyzers, field mapping, and ranking techniques.
- Experience with NLP/NLU within the context of information retrieval.
- Expertise in dense vector manipulation and optimization.
- Familiarity with hybrid search, rank fusion, and reranking techniques.
- Proficiency in Go and Python 3 (experience with Rust or TypeScript is a plus).
- Strong understanding of distributed systems, microservices, and message-driven architectures.
- Passion for real-time performance optimization and high availability.
- Experience with API design using Swagger, OpenAPI, or equivalent tools.
- Knowledge of gRPC or equivalent RPC protocols.
- Experience with Docker and Kubernetes for containerized deployments.
- Familiarity with cloud platforms (GCP preferred, AWS/Azure optional).
- Hands-on experience with Infrastructure as Code tools like Terraform or Ansible.
- Knowledge of CI/CD frameworks and continuous delivery practices.
We believe in investing in our people. Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success.
Don’t meet every single requirement? If you’re excited about this role and you possess the fundamental traits, the drive, and strong ambition we seek, but your experience doesn’t satisfy every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Top Skills
What We Do
Dialpad is a cloud-based business phone system that turns conversations into opportunities and helps global teams make smarter calls--anywhere, anytime. We bring simplicity to the professional phone experience and some of the world’s most innovative companies use our platform. Dialpad's products span video meetings, cloud call centers, sales coaching and dialers and enterprise phone systems--and are all infused with the latest AI technologies to help every business make smarter calls. Customers include WeWork, Uber, Motorola Solutions, Domo and Xero. Investors include Amasia, Andreessen Horowitz, Felicis Ventures, GV, ICONIQ Capital, Salesforce Ventures, Scale Venture Partners, Section 32, Softbank and Work-Bench.
