Solutions Engineer
Clarity
- London, England, United Kingdom
- London, England, United Kingdom
Über
We are
trusted by industry leaders like OpenAI, GrubHub, STC and Tabby
who rely on us to deliver real impact. Our investors include
Prosus Ventures, STV AI Fund (backed by Google) and angels from Open AI and Google . With a 25% month‑on‑month growth rate and over 300% net revenue retention, this is a unique opportunity to join a hyper‑growth AI company and redefine an industry.
We’re looking for a
Solutions Engineer
to join our team of innovators — someone who thrives at the intersection of technology, customer experience, and product development. This role is ideal for a technical professional who enjoys experimenting with emerging AI technologies and transforming complex ideas into tangible, high‑impact solutions.
This role requires business fluency in Arabic .
Role Overview As a
Solutions Engineer at Clarity , you’ll serve as the technical bridge between our customers, partners, and internal teams. You’ll work closely with Product, Design, and AI Engineering to prototype and validate new capabilities, ensuring that every Clarity deployment is technically sound and business‑aligned.
Your work will shape how leading organizations adopt generative AI for customer experience — from designing integrations and demos to driving successful implementations.
Responsibilities
Act as the
primary technical advisor
for customers and partners during pre‑sales and implementation.
Design and deliver
proofs of concept , product demos, and solution prototypes tailored to customer needs.
Partner with Sales and Product teams to identify gaps and opportunities where Clarity adds value.
Lead
technical integration discussions
with enterprise customers, ensuring smooth deployment and scalability.
Provide feedback from the field to inform
product development and roadmap decisions .
Conduct
training sessions and workshops
for customers and partners to ensure successful adoption.
Collaborate on
strategic account plans
that drive long‑term customer success and expansion.
Requirements
Bachelor’s degree in
Engineering, Computer Science, or related field
(or equivalent experience).
5+ years’ experience in
enterprise software pre‑sales, solutions engineering, or technical consulting .
Strong
technical communication
and presentation skills — able to explain complex concepts clearly to diverse audiences.
Familiarity with
AI/ML concepts
and modern CX ecosystems (e.g., Zendesk, Genesys, Intercom).
Proven ability to manage
technical proofs, integrations, and deployments
with enterprise customers.
Strong analytical and problem‑solving abilities; comfortable working in fast‑paced, ambiguous environments.
Excellent collaboration and stakeholder management skills.
Fluency in Arabic.
Why Clarity
Build the future of
AI‑powered customer service
from the ground up.
Freedom to
experiment, prototype, and innovate
in an emerging category.
Competitive compensation, equity, and benefits.
Join a
collaborative, mission‑driven team
that values creativity, speed, and impact.
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Sprachkenntnisse
- English
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