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For Companies At a Glance
- Tasks: Lead the technical direction of an AI-native Talent Acquisition platform and drive innovative solutions.
- Company: Join a pioneering startup focused on transforming recruitment with cutting-edge technology.
- Benefits: Equity stake in a groundbreaking venture with potential for significant growth.
- Why this job: Be a key player in shaping the future of talent acquisition and make a real impact.
- Qualifications: Senior-level engineering experience with strong skills in AI, backend systems, and SaaS platforms.
- Other info: Remote role with a dynamic team and 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 Newcastle upon Tyne employer: Future find
Contact Detail:
Future find Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Chief Technology Officer in Newcastle upon Tyne
✨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 go a long way in landing that CTO role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and cloud infrastructure. This gives potential co-founders a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with multi-tenant systems and AI-driven solutions. Confidence in your expertise will impress potential partners.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Chief Technology Officer in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the role of CTO. We want to see how you can take ownership of our platform's technical direction, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills: When detailing your experience, focus on your backend and AI systems expertise. We’re looking for someone who can lead development in these areas, so be specific about your proficiency in Python, Node.js, and any relevant AI technologies you've worked with.
Communicate Clearly: As a potential CTO, clear communication is key! Make sure your application is well-structured and easy to read. We want to see that you can translate complex technical concepts into understandable terms, especially since you'll be working closely with non-technical founders.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing candidates who follow our process!
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/GraphQL APIs, Python, and AWS. Be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Leadership Skills
This role requires not just technical expertise but also strong leadership. Prepare examples of how you've led teams or projects in the past, especially in early-stage environments. Highlight your ability to communicate complex ideas clearly to non-technical stakeholders.
✨Prepare for Case Studies
Expect theoretical case studies during the interview process. Practice solving problems related to AI-driven scoring systems or multi-tenant architecture. Think through your approach and be ready to explain your reasoning and decision-making process.
✨Align with Their Mission
Understand the company's mission to build an AI-native Talent Acquisition platform. Be prepared to discuss how your vision aligns with theirs and how you can contribute to alleviating the need for external recruitment agencies. Show your passion for the industry!