Top Tech Jobs & Startup Jobs

Own multi-cloud platform infrastructure across AWS and GCP, including infrastructure as code, CI/CD, deployment automation, cost management, capacity planning, and environment parity. Lead observability using SigNoz, Prometheus, and Grafana; establish on-call practices, runbooks, and postmortems. Operate distributed stateful systems, improve reliability and infrastructure costs, and develop automation using Python, Go, or Bash in regulated enterprise environments.

Own product vision, strategy, roadmap, metrics, and execution for AI-powered customer operations products serving banks, NBFCs, fintechs, and enterprises. Lead customer discovery, workflow transformation, scalable product development, data-driven prioritization, and measurable business outcomes. Build and mentor product teams while partnering with engineering, AI research, sales, implementation, and customer success. Focus areas include collections, sales, customer service, conversational AI, voice AI, and agentic AI.

Build and ship full-stack features across Voice AI Agents and Speech Analytics, including backend APIs, frontend interfaces, scalable systems, real-time analytics, and enterprise integrations. Own data modeling, technical architecture, performance trade-offs, and production operations. Collaborate with product, design, and client-facing teams while strengthening CI/CD, testing, monitoring, and developer tooling for regulated financial-services customers.

Works directly with the Founder to identify, validate, launch, and scale new products, pricing models, and revenue opportunities. Responsibilities include customer discovery, client pilots, cross-functional execution, financial modeling, metric analysis, stakeholder alignment, and removing delivery blockers. The role turns ambiguous ideas into measurable outcomes and establishes repeatable processes for successful initiatives.

Build and operate production telephony infrastructure, including SIP/WebRTC, PSTN/VoIP, session management, media processing, carrier integrations, call-quality monitoring, failover, and disaster recovery. Develop APIs and tooling, troubleshoot real-time voice issues, support Voice AI integrations, document systems, participate in on-call rotations, and collaborate with Infrastructure, DevOps, and Security teams on reliable, compliant operations.

Own strategy, roadmaps, prioritization, and outcomes across a portfolio of Voice AI products. Lead enterprise discovery with BFSI stakeholders, partner with engineering leadership on technical trade-offs, mentor other product managers, establish scalable product practices, and communicate priorities to executives. The role requires deep BFSI or Voice AI expertise, zero-to-one and scale experience, enterprise rollout experience, and strong product judgment.

Own enterprise sales across Pune and West Maharashtra BFSI accounts, managing prospecting, discovery, proposals, negotiations, and closing. Build territory strategy, acquire and expand strategic customers, engage senior stakeholders, deliver executive presentations and demonstrations, maintain pipeline forecasting, and collaborate with pre-sales, product, and customer success teams to position Voice AI and Speech Analytics solutions.

Leads strategic enterprise deployments for banks, insurers, NBFCs, and fintechs from solution design through production. Owns technical customer relationships, architecture, integrations, escalations, and go-live execution while mentoring FDEs. Builds reusable playbooks, reference architectures, tooling, and delivery standards to improve deployment speed and consistency. Partners with Product and Engineering to convert field insights into platform improvements and remains hands-on with APIs, data flows, workflows, and production troubleshooting.

Senior full-stack engineer owning end-to-end design, implementation, testing, and production operation of low-latency Voice AI and Voice Analytics systems. Drive architecture and design reviews, resolve reliability and scalability issues, mentor junior engineers, and establish engineering standards for APIs, observability, testing, and incident response.

Deploy and customize GreyLabs AI voice agents for enterprise BFSI clients: design AI workflows, build integrations (CRMs, dialers, APIs, S3/SFTP), debug production issues, run client workshops, analyze conversation logs to optimize outcomes, and feed product insights from deployments.