Why this role exists Every call, every agent, every AI interaction on JustCall generates signals. Sales managers want to know if their team is performing. Support leads want resolution rates and CSAT. Business owners want to connect conversations to revenue.

We have the data. We have AI. What we don't have yet is the system that ties it all together and puts it in front of the people who need it.

That's what this role builds.

We're building analytics as a first-class product - the pipelines, data models, and AI-powered insights layer that give businesses a real window into how their teams perform and their conversations convert. What you'll actually do

Design and build backend systems powering analytics - dashboards, aggregation pipelines, reporting APIs, and data delivery at scale

Own data architecture decisions: schema design for OLAP workloads, query optimization, partitioning strategies, and indexing across large multi-tenant datasets

Drive scalability work - horizontal scaling, async pipelines, caching layers, and handling high-volume event ingestion without degradation

Wire AI into the analytics layer - LLM-powered summaries, anomaly detection, natural language querying on structured data - you're the engineer making it work in production, not a researcher experimenting in a notebook

Instrument and own observability for the analytics layer - latency tracking, pipeline health, data freshness SLAs

Experience working in cross-functional teams, including product managers, engineers, and designers. Ability to build relationships and influence stakeholders at all levels of the organization.

Contribute to architectural discussions,



and raising the engineering bar across the team What we're looking for

Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience

5+ years of professional software engineering experience in a real product environment

Strong backend fundamentals: you're comfortable working across backend, and data layers

Strong experience in NodeJS, SQL, ClickHouse - write clean backend services, model analytical workloads well, and can read a query plan to find where time is lost

Good knowledge of relational and non relational databases along with their use cases.

Excellent debugging and technical investigation skills

Ability to move fast and iterate in ambiguous, greenfield problem spaces: you take ownership and focus on delivering value to users A data-driven mindset and genuine curiosity about how people use analytics tools A desire to be on the forefront of leveraging AI to drive product improvement at thousands of companies Edges that help

Familiarity with analytics and observability platforms

Interest in information retrieval, anomaly detection and statistical analysis

Experience building with LLMs, AI agents, or tool-use frameworks How we work

Outcomes over output. We measure product impact by retention curves, revenue influence, and customer trust - not features shipped.

High ownership from day one - you'll shape the product org, not inherit a finished one.

Rapid cycles, real ambiguity, and the expectation that you bring a sharp point of view and move quickly on it.

Competitive pay tied to the product vision you set and the impact you drive.

📌 Senior Software Engineer (Bengaluru)
🏢 Saas Labs
📍 Bengaluru