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At Iris.ai, we’re building an agentic AI platform that scales expert-level domain knowledge across entire organizations.
For more than a decade, we’ve worked at the intersection of scientific research, industrial data, and applied AI, helping researchers, engineers, and business teams reason over complex technical knowledge.
Our products - Neuralith, Axion, and RSpace - span the full GenAI lifecycle:
Data ingestion across text, tables, figures, and technical formats
Advanced RAG and indexing pipelines
Agentic orchestration and reasoning
Rigorous LLM evaluation and governance
What makes us different: we care deeply about accuracy, evaluation, and responsibility. We don’t optimize for demos and proof-of-concepts we optimize for systems that experts trust and use.
We are looking for a Head of Client Solutions to own how our AI capabilities get delivered to enterprise clients, and to turn what we learn from each engagement into solutions that can be deployed faster and more predictably the next time.
You will run active client engagements. That's where the learning happens. But the goal is not just delivery for its own sake. The goal is to extract patterns from each deployment, define what a repeatable solution looks like, and build the playbooks and processes that make the next one easier. Every client teaches us something. Your job is to make sure that knowledge compounds.
This role sits at the intersection of client delivery, solution design, and product. You work with clients to understand what they need, with engineering to understand what's possible, and with leadership to decide where we invest in repeatability vs. stay custom.
You will report to the CPO with a dotted line to the CCO on commercial outcomes.
Run client engagements and extract repeatable patterns
Lead implementation for enterprise clients from kickoff through production
Be the primary relationship holder during active engagements
Manage scope, timelines, and delivery coordination with the technical team
After each engagement, document what worked, what was custom, and what should become standard
Codify delivery patterns into solution playbooks: defined scope, prerequisites, delivery steps, timeline, success metrics
Define and evolve our solutions
Own the definition of each solution type: what's included, what's configurable, what's out of scope
Decide when a solution is mature enough for a standard SOW vs. still needs custom scoping
Identify which parts of our delivery are genuinely repeatable and which are still exploratory
Work with engineering to define what the platform needs to do differently to make solutions more deployable
Build the documentation that allows others (Solution Architects, commercial team) to scope and sell solutions with confidence
Bridge client needs and platform capabilities
When a client asks for something, determine: is this within the current solution, a configuration, or a new capability?
Prioritize solution-level improvements in collaboration with the CPO
Collect and structure feedback across engagements to inform both solution design and product direction
Track client health, usage, and expansion opportunities across accounts
Drive operational maturity
Run regular client check-ins, quarterly reviews, and renewal conversations
Own project tracking for active engagements (we use Asana and HubSpot)
Track time and resource allocation; surface delivery risks early
Build the handoff process from closed deal into delivery and through to renewal
5+ years in solution delivery, solution design, or client-facing product roles at B2B SaaS or enterprise technology companies
You have turned custom implementations into repeatable offerings before. You know the difference between "we did this once" and "we can do this reliably."
Experience scoping and delivering AI, data, or complex technology solutions for large enterprise clients
Technical enough to discuss architecture, data pipelines, and system design with engineers. You do not code, but you understand how solutions get built and where the constraints are.
Strong at documentation and process design. You can write a solution playbook that someone else can follow without hand-holding.
Comfortable owning client relationships at senior stakeholder level (VPs, directors, C-level)
Good at making scope decisions and communicating trade-offs to both clients and internal teams
Clear communicator in English; Bulgarian is a strong plus given our team location
Experience in small teams (under 50 people) where you define your own role and processes
If you want to do meaningful work and grow in a culture built on trust, rigor, and fairness — let’s talk.
We’re not your typical tech company. We believe in:
Real transparency — information is shared, context is open, and questions are welcome.
Fairness, designed in policies, opportunities, and growth are aligned across countries and teams.
Ownership and empowerment to make decisions without micromanagement.
Metrics that guide us — but they never replace human thinking or responsibility
💸 Pay
Compensation that reflects your value. Our salaries are typically 25% above local market averages, ensuring competitive, fair pay across regions and roles. And we review it annually.
💸 Equity
We believe salary helps you get by. Stock options build wealth!
At Iris.ai all colleagues receive ownership in the company, part of our ESOP pool (3%). Because when we grow, you grow — that's what shared success really means.
(Just imagine: Someone once bought a Tesla option for $1 — it's worth $400 today.)
We’ve built our benefits to reflect how we work: with trust, fairness, and room to grow.
30 days paid vacation
5 additional days paid vacation for Learning and Development
Private health insurance (premium coverage) and bi-annual health checks
Free MultiSport card or Fitness subscription coverage for your physical well-being
Remote-first & flexible hours — work where you're at your best
Personal annual learning budget for conferences, courses, or certifications
Personal equipment budget to choose the gear that suits your style
Charity and volunteer activities
Seasonal working camps (summer & winter) and team retreats
Ongoing growth through weekly tech deep dives, mentorship, pair coding, and knowledge-sharing
If you care about building high-quality, ethical AI — guided by data and human judgment — you’ll feel at home at Iris.ai.
👉 Apply now or reach out with questions. We’re transparent by default.