Chief Product Officer

JobsCloseBy Editorial Insights

SmartDev is hiring a Chief Product Officer for Veris, its AI reliability platform, in a full-time hybrid role based in Amsterdam. You’ll own the product end to end, from vision and pricing to four-channel go-to-market, working alongside the CTO to turn strategy into pilots and recurring managed services. The ideal candidate has 8+ years in senior B2B SaaS product leadership, a proven zero-to-one track record, deep AI/ML fluency, and strong commercial instincts around pricing, margins, and net revenue retention, plus distribution and regulated-industry experience. Must speak board-ready English; nice-to-haves include hands-on LLM evaluation, channel product experience, offshore/Vietnam experience, and Russian language a plus. To apply, highlight concrete pilots, quantifiable outcomes, and a clear plan to scale channels and services.

Company Description

SmartDev is an AI-powered software development company headquartered in Vietnam, part of the Verysell Group. We help global businesses deliver faster and build smarter — combining AI-driven development practices with deep expertise across fintech, healthcare, retail, and enterprise technology. Our team of engineers, architects, and AI specialists works across the full stack: from custom software and cloud solutions to generative AI, MLOps, and intelligent automation. At SmartDev, we believe that great architecture and AI-first thinking are a competitive advantage — and we build our teams accordingly. 

The company is at a pivotal point in our journey: transitioning from a pure IT outsourcing provider to an AI-enabled solutions partner. 

We have over 200 talented employees working both on-site and remote/hybrid at locations:

• Danang: 81 Quang Trung, Hai Chau 1 ward, Hai Chau District, Danang
• Hanoi: Zodiac building, 19 Duy Tan Street, Dich Vong Hau ward, Cau Giay District, Hanoi

Job Description

Veris is SmartDev's platform for keeping AI systems reliable once they're live. Most tools in this space show you charts and leave you to work out what's wrong — we do the work instead: we find the problems, tell you which ones matter, and fix them. Two products do the job: one checks whether an AI system is safe to release and gives a clear yes or no; the other watches company knowledge bases for content that's gone out of date, contradicts itself, or has gaps, then hands back a prioritized fix-list. We sell into banks, law firms, logistics companies and healthcare providers — markets where an AI that makes things up isn't an embarrassment, it's a legal and financial problem.

This is a builder's role. You'll move between board-level strategy and the detail of pilot feedback, pricing packages, and channel economics — often in the same week. It suits someone who has taken a product from zero to one before, who is genuinely fluent in AI/ML systems, and who can back every roadmap call with commercial numbers a board will trust. You'll do it with a delivery engine, a client base, and an engineering team already in place.

Key Responsibilities

• Own the product end to end. Vision, roadmap, and positioning as a managed outcome — not another self-service eval tool — plus the prototype and platform architecture decisions, made alongside the CTO.

• Land and convert the first customers. Sign the first paid pilots, run a tight feedback loop, and convert them into recurring managed-service contracts across four target verticals.

• Prove the commercial model. Package pricing and validate unit economics — cost-per-client, margin, net revenue retention — with evidence a board can act on.

• Build distribution. Stand up repeatable channels — partner enablement and white-label delivery under the 'You sell. We build. We maintain.' model — that grow revenue without growing headcount in lockstep.

• Build and lead the team. Hire and run the Veris product org; partner closely with engineering, delivery, sales, and finance.

Qualifications

Must-have

• 8+ years in product leadership. Including senior product roles (Head of Product / VP Product / CPO) in B2B SaaS, developer tools, or enterprise software.

• Proven zero-to-one track record. Concept, prototype, first paying customers, and repeatable commercialization.

• Strong technical fluency in AI/ML systems. LLMs, RAG architectures, evaluation, observability, or MLOps/LLMOps — enough to lead architecture trade-offs directly with engineering, not through a translator.

• Real commercial acumen. Pricing, unit economics, margin, and NRR — comfortable presenting evidence-based recommendations to a board, not just a product narrative.

• Distribution experience. Partner/reseller channel experience, evidenced by real channel economics.

• Experience in regulated industries. Finance, legal, healthcare, or compliance-heavy sectors.

• Managed-service or services-led product model experience. Ideally within or alongside an IT services / outsourcing business.

• Excellent communication. Board-quality written and verbal English.

Nice-to-have

• Hands-on LLM evaluation / observability landscape. LLM-as-judge, tracing, CI/CD eval pipelines, hallucination detection.

• Channel product experience. Partner-channel or white-label product experience specifically.

• Prior work with offshore/Vietnam or distributed engineering teams; Russian language a plus given the group context.