About The Position

The Director, Product Engineering will own delivery across 3–5 product squads covering Workforce Intelligence, Strategic Workforce Planning, Job & Skills Architecture, Organizational Design, and Synappy. This role involves setting and maintaining high standards for engineering excellence, including architecture, code quality, testing, observability, on-call practice, and developer experience. The Director will partner closely with Product Management, Design, and Data Science to translate customer problems into shippable solutions, emphasizing predictable and transparent delivery while upholding engineering judgment and quality. Key responsibilities include owning the architectural roadmap for the SaaS platform and Data-as-a-Service offerings to ensure scalability for large data volumes and a growing customer base. The role also champions and operationalizes modern practices such as CI/CD, AI-assisted development, automated testing, SLO-driven operations, and pragmatic DevSecOps. The Director will represent Engineering in cross-functional planning, executive reviews, and customer conversations, translating technical risks and opportunities into business language for the executive team and the board. Additionally, they will collaborate with Security, Legal, and Trust & Governance to maintain enterprise-grade compliance for a customer base that includes over 60% of the Fortune 100.

Requirements

  • 12+ years in software engineering, with at least 5 years leading engineering organizations of 25+ engineers, including managing managers.
  • Demonstrated success scaling a B2B SaaS or data-intensive product, ideally in HR Tech, analytics, or another data-heavy domain.
  • Hands-on technical depth in modern microservices architectures and cloud-native engineering on AWS — you can credibly engage in design reviews, debate trade-offs, and earn the trust of senior engineers.
  • Strong background with the kinds of technologies in our stack: Java/Spring, Python, Node.js, relational databases (Postgres/MySQL/Aurora), and AWS services.
  • Track record of partnering effectively with Product Management and Design in a product-led environment — not as an order-taker, but as an equal partner in discovery and outcomes.
  • Experience leading distributed teams across multiple time zones, with cultural fluency for India, the UK, EU, and US.
  • Excellent written and verbal communication; able to move comfortably between an architecture whiteboard, a sprint review, and an executive readout.

Nice To Haves

  • Hands-on experience shipping production GenAI / LLM-powered features — including evaluation, prompt engineering, RAG patterns, and managing model cost, latency, and quality trade-offs.
  • Experience with large-scale data ingestion, ETL/ELT, and analytics platforms (e.g., web crawling at scale, NLP pipelines, taxonomy and skills extraction).
  • Prior experience in HR Tech, workforce planning, talent intelligence, or labor market analytics.
  • Experience operating in a private-equity-backed growth environment with the cadence and discipline that requires.

Responsibilities

  • Own delivery across 3–5 product squads spanning Workforce Intelligence, Strategic Workforce Planning, Job & Skills Architecture, Organizational Design, and Synappy.
  • Set the bar for engineering excellence — architecture, code quality, testing, observability, on-call practice, and developer experience — and hold the organization to it.
  • Partner closely with Product Management, Design, and Data Science to convert customer problems into shippable solutions — with a strong bias for predictable, transparent delivery rhythms without sacrificing engineering judgment or quality.
  • Own the architectural roadmap for our SaaS platform and Data-as-a-Service offerings, ensuring our systems can keep pace with hundreds of millions of daily data points and a rapidly expanding customer base.
  • Champion modern practices — CI/CD, AI-assisted development, automated testing, SLO-driven operations, and pragmatic DevSecOps — and operationalize them across squads.
  • Represent Engineering in cross-functional planning, executive reviews, and customer conversations.
  • Translate technical risk and opportunity into business language for the executive team and the board.
  • Partner with Security, Legal, and Trust & Governance to maintain enterprise-grade compliance posture for a customer base that includes more than 60% of the Fortune 100.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service