Director, Product Engineering

About TalentNeuron, LLC

TalentNeuron is the global leader in workforce and labor market intelligence. Our solution combines external labour market data with internal workforce insights to power strategic workforce planning (SWP), skills analysis, location strategy, DEI initiatives, and talent acquisition.
We ingest millions of global data points across 90% of the world’s GDP and deliver insights through SaaS, data delivery, and expert advisory services—helping the world’s leading enterprises plan, build, and deploy the workforce of the future.

Our Core Values

Humanity First – We lead with empathy, kindness, and respect.
Customers at the Core – We deeply understand client needs and deliver exceptional value.
Diverse Minds, One Team – We collaborate, debate, and succeed together.
Pioneering Innovation – We take risks, learn fast, and drive change.
Resilient Perseverance – We solve problems creatively and own our commitments.

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.

How you operate

• Owner mindset. You identify, communicate, and act on issues and initiatives without waiting for permission.
• Customer obsession. You instinctively reach for customer evidence to inform decisions.
• Pragmatic about tech. You optimize for outcomes, not architectural elegance for its own sake.
• High trust, low ego. You build durable relationships with peers across Product, Data, GTM, and Customer Engagement.
• Bias to action with a “yes we can” attitude, balanced by sound judgment about what to ship and what to defer.

We’re an equal opportunity employer. All applicants will be considered without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.