Why This Job is Featured on The SaaS Jobs
Dialpad operates a cloud-native SaaS platform used at meaningful scale, and this role sits in a product engineering context where search quality directly shapes day-to-day customer workflows. Search is a leverage point in SaaS because it influences discoverability, time-to-value, and how quickly users can navigate large, growing datasets. The listing signals work that spans classic information retrieval and modern AI-informed approaches, reflecting where many mature SaaS products are heading.
From a SaaS career perspective, the combination of distributed systems, reliability, and cost-aware performance work maps closely to the problems that surface as subscription products grow. Experience with ranking strategies, hybrid retrieval, and observability-driven iteration tends to transfer across SaaS categories, particularly where analytics, knowledge surfaces, or in-product discovery are core. Building and maintaining these capabilities also develops strong instincts for operating customer-facing services with tight latency and availability expectations.
This position is best suited to an engineer who prefers ownership over a substantial surface area and is comfortable working across boundaries between backend services, data stores, and user-facing outcomes. It will likely appeal to someone who enjoys measurable system improvements and pragmatic experimentation, and who wants their technical decisions to be visible in production at scale within a SaaS environment.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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 while following best engineering practices.
- Participate in code reviews to ensure quality, maintainability, and scalability.
- Provide mentorship and technical guidance to junior engineers.
Skills you’ll bring
- 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.
