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For Companies At a Glance
- Tasks: Lead the tech direction of an AI-native Talent Intelligence platform and innovate with cutting-edge technology.
- Company: Join a pioneering startup focused on transforming talent acquisition through AI.
- Benefits: Equity stake, flexible remote work, and the chance to shape a groundbreaking product.
- Why this job: Be a key player in revolutionising recruitment and making a real impact in the industry.
- Qualifications: Proven experience in SaaS platforms, strong coding skills, and a passion for AI technologies.
- Other info: Dynamic startup environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Location: Remote (UK / EU only)
Salary: Equity only (to start) - with vesting period
Platform: AI-Native Talent Intelligence Platform
Stage: Early product (working demo MVP) with live AWS infrastructure and AI workflows in place
The Role
We are recruiting for our sister business 'hdhnt', this is an AI-native Talent Acquisition platform designed around deep candidate analysis, structured evaluation, and intelligent matching. Our mission is to build a tool which allows hiring companies to successfully source candidates directly, and alleviate the need for external recruitment agencies. The technical foundations already exist: cloud infrastructure, LLM pipelines, scoring logic, and multi-tenant architecture, these have been built through use of contractors to date. We are looking for a hands-on Technical Co-Founder / CTO to take full ownership of the platform’s technical direction, architecture, and execution as we scale from early product to category-defining system.
Core Responsibilities
- Own the end-to-end technical architecture across backend, AI systems, data, and infrastructure
- Lead development of AI-driven scoring, ranking, and decision systems
- Design and evolve advanced search and retrieval systems beyond keyword matching
- Build and scale API-first, multi-tenant backend services
- Lead development of video, voice, and interview analysis tooling within the platform
- Drive the transition from third-party LLM usage toward custom and fine-tuned models
- Ensure platform security, data protection, and GDPR-aligned system design
- Establish engineering standards, CI/CD workflows, and operational best practices
- Act as technical counterpart to product, commercial, and investor conversations
- Manage technical / dev responsibility for any contractor arrangements in place.
Technical Requirements
Backend & APIs
- Strong experience designing REST and/or GraphQL APIs for production SaaS platforms
- Advanced proficiency in Python (FastAPI) and/or Node.js (TypeScript / NestJS)
- Deep understanding of multi-tenant system design, permissions, and role-based workflows
- Event-driven architectures using webhooks, queues, and async processing
AI, Search & Data Systems
- Hands-on experience integrating LLM APIs (OpenAI-compatible or equivalent)
- Design and implementation of scoring, ranking, and weighted evaluation systems
- Experience with vector search, embeddings, and semantic retrieval
- Practical use of RAG architectures, prompt pipelines, and structured outputs
- Strong understanding of model evaluation, explainability, and output validation
Model Development
- Experience with fine-tuning or training models (open-source or proprietary)
- Understanding of model lifecycle management, data pipelines, and inference optimisation
- Familiarity with moving from API-based LLMs to self-hosted or private models
Video, Voice & Media Processing
- Experience working with video, audio, or real-time communication systems
- Familiarity with speech-to-text, audio processing, or conversational AI pipelines
- Comfort designing systems that support AI analysis of recorded interactions
Cloud & Infrastructure
- Strong experience with AWS-based SaaS platforms, including: ECS Fargate, Application Load Balancers, IAM, KMS, Secrets Manager, CloudWatch logging and alerting
- Infrastructure-as-Code using Terraform
- Secure, scalable deployment and environment management
- CI/CD pipelines, automated testing, and release workflows
Experience & Profile
- Senior-level engineer or technical founder with end-to-end ownership experience
- Proven track record building or scaling production SaaS platforms
- Comfortable operating across architecture, hands-on coding, and strategic decisions
- Strong product intuition with an ability to translate abstract requirements into systems
- Experience working in early-stage or high-ownership environments
- Clear communicator capable of partnering closely with a non-technical founder
Nice to Have
- Prior experience as a founder, early CTO, or lead architect
- Background in search, recommendation systems, or decision engines
- Experience with regulated or sensitive data environments
- Familiarity with recruitment, HR tech, or workflow-driven SaaS platforms
- Experience building internal admin tools and operational dashboards
There will be a multi-stage interview process including theoretical case study and technical assessment. If you would like to find out more, please apply below.
We encourage candidates from all backgrounds to apply, regardless of; race, gender identity, sexual orientation, religious beliefs, age or other experiences.
Chief Technology Officer in Kingston upon Hull employer: Future find
Contact Detail:
Future find Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Chief Technology Officer in Kingston upon Hull
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who might know about opportunities in AI and SaaS. A personal recommendation can make all the difference when you're aiming for a role like CTO.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with AI systems, cloud infrastructure, and SaaS platforms. This will help you stand out during interviews and showcase your hands-on expertise.
✨Tip Number 3
Get ready for technical assessments! Brush up on your knowledge of REST APIs, LLMs, and multi-tenant architectures. Practising coding challenges can help you feel more confident when it comes to demonstrating your skills.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in our mission. Tailor your application to reflect how your experience aligns with our goals at 'hdhnt' and show us why you're the perfect fit for this role.
We think you need these skills to ace Chief Technology Officer in Kingston upon Hull
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI systems, cloud infrastructure, and SaaS platforms. We want to see how your skills align with our mission at StudySmarter!
Showcase Your Technical Skills: Don’t hold back on detailing your technical expertise! Whether it’s your experience with Python, Node.js, or AWS, we’re keen to see how you can contribute to our platform's growth.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the role of CTO.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Future find
✨Know Your Tech Inside Out
As a potential CTO, you need to be well-versed in the technical requirements listed in the job description. Brush up on your experience with REST APIs, Python, and AWS. Be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Leadership Skills
This role requires someone who can lead a team and make strategic decisions. Prepare examples of how you've successfully managed teams or projects in the past. Highlight your ability to communicate complex technical concepts to non-technical stakeholders.
✨Prepare for Technical Assessments
Expect a theoretical case study and technical assessment during the interview process. Practice coding challenges and system design questions relevant to AI and SaaS platforms. Familiarise yourself with common architectural patterns and be ready to explain your thought process.
✨Align with Their Vision
Understand the mission of the company and how your skills can contribute to their goals. Be prepared to discuss how you would approach building and scaling their AI-native platform. Show enthusiasm for their vision and how you can help them achieve it.
