# Director, Product Engineering

**Company:** [TalentNeuron](https://hotfix.jobs/companies/talentneuron)
**Location:** Remote
**Role:** Engineering Management
**Experience:** 12+ years
**Skills:** Java, Spring, Python, Node.js, Postgres, MySQL, Amazon Aurora, AWS, Microservices, CI/CD, DevSecOps, Generative AI, LLMs, RAG, Etl/Elt
**Posted:** 2026-04-21

> Leads engineering delivery for 3-5 product squads in workforce intelligence SaaS, owning architecture, excellence standards, and modern practices like CI/CD and DevSecOps. Requires 12+ years experience with 5+ years managing 25+ engineers, hands-on depth in AWS microservices, and cross-functional partnership.

## Job Description

## What You’ll Do
- 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.

## What You’ll Bring
### Required
- 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.

### Strongly preferred
- 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.

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