About The Role

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is safe to release and gives a clear yes or no; the other watches company knowledge bases for content that's gone out of date, contradicts itself, or has gaps, then hands back a prioritized fix-list.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.

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.