Engineering Leader - SaaS/AI Platform

Role Brief:

Engineering Leader (SaaS, AI Platform)

Client Context:

Our client is a fast-growing Agentic AI platform company transforming enterprise productivity through AI-driven automation. Founded by former executives from major global tech firms, the team includes engineers from top-tier tech companies and graduates of premier institutions. Backed by leading global investors. Headquartered in Silicon Valley with offices in Bangalore, London, and Vancouver.

The Role:

An Engineering Leader to manage and scale multiple product lines spanning Voice AI, BPO, and Workforce Management (WFM). Reports directly to the Head of Engineering. Owns the engineering organization building infrastructure for Voice AI agents, Agent QA, auto-learning pipelines, analytics, and workforce optimizationall as scalable, multi-tenant systems deployed globally.

Core Scope:

• Scalable multi-tenant systems: enterprise-grade architecture with data residency, isolation, and compliance across geographies; high-throughput voice/telemetry ingestion; foundational data-store and architecture decisions.
• Team building & culture: hiring and developing senior engineers across voice, backend, data, and applied operations research; managing engineering managers as the org scales.
• Voice Platform & Agent QA: end-to-end ownership of real-time voice pipelines, telephony integration, automated call scoring, compliance monitoring, and closed-loop auto-learning systems.
• Workforce Management & Ops Research: demand forecasting, shift scheduling, capacity planning, and optimization algorithms for multi-site, multi-timezone contact center operations.

Must-Haves:

• 12+ years in software engineering, including 4+ years leading teams of 8+ engineers at high-growth startups or top-tier tech companies.
• Deep expertise in real-time, data-intensive systems and diverse data stores (relational, time-series, columnar, caching).
• Experience with AI-driven engineering tools/workflows.
• Track record taking products 0-1 with rapid iteration.
• Strong hands-on coding and architecture leadership (SOLID, clean architecture).
• Experience building multi-tenant SaaS with compliance requirements (SOC 2, GDPR, HIPAA).
• Event-driven/streaming systems experience (Kafka, Flink, or equivalent).
• Strong product sense in contact center, voice, or workforce domains.
• Proven hiring and retention track record in competitive markets.

Nice-to-Haves:

• Voice/telephony systems (WebRTC, SIP, VoIP, contact center platforms).
• Operations research/optimization background (scheduling, linear programming, forecasting).
• Analytics platform experience (OLAP, BI infrastructure, real-time dashboards).
• Auto-learning/continuous improvement systems experience.
• Enterprise AI/ML product experience (agentic automation, LLM orchestration).
• WFM/contact center operations familiarity (Erlang-based capacity planning).

Notable Signal on Pedigree:

The JD explicitly frames the existing team as coming from "premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs"this pedigree bar is baked into the company's self-description, not just a nice-to-have filter, so it's likely to matter meaningfully at screening stage.