At a Glance
- Tasks: Lead the development of a groundbreaking AI chat app that transforms user interactions.
- Company: Join a dynamic tech team focused on innovative AI solutions.
- Benefits: Enjoy competitive pay, flexible remote work, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on rapid innovation and user feedback.
- Why this job: Shape the future of AI technology and make a real impact on users worldwide.
- Qualifications: Strong technical background in computer science and experience with AI products.
The predicted salary is between 70000 - 90000 £ per year.
A1 is building a proactive AI chat app for everyday users to bring intelligence to conversations, errands, organising and workflows. Unlike traditional chat-based applications, our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behaviour.
This is a deeply technical, hands-on role. Work directly with engineers on system design, evaluation, and trade-offs-defining requirements, but shaping how the system works for global users. You work at the intersection of user needs, model capability, and system constraints, and are responsible for turning AI potential into real, reliable behaviour in a real-world application.
What You'll be Doing
- Research and define end-to-end AI system requirements from capability to behaviour to user impact.
- Translate model capabilities, data constraints, and evaluation results into clear product and system decisions.
- Make hard trade-offs across quality, latency, cost, reliability, and UX.
- Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration.
- Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback.
- Drive execution with clear specs, strong judgment, and disciplined prioritisation.
- Ensure systems ship quickly, safely, and reliably, with strong feedback loops.
- Own product quality end-to-end - correctness, predictability, and user trust.
What You Will Need
- Technical foundation: Strong grounding in computer science fundamentals, including algorithms, data structures, and system design. Solid understanding of ML fundamentals and how modern AI systems behave in production. Comfort reading, reviewing, and discussing technical design documents.
- AI & ML experience: Hands-on exposure to AI-powered products, including LLM-based systems. Experience working with model evaluation, prompt or pipeline iteration, and feedback loops. Strong intuition for model limitations, hallucinations, bias, and drift.
- Product leadership: Significant experience owning complex, technical products end-to-end. Proven ability to work closely with senior engineers and ML teams. Strong judgment and decision-making ability in ambiguous, fast-moving environments. Ability to balance ambition with technical and operational reality.
Nice to have
- Experience shipping AI-heavy consumer products.
- Background as an engineer or highly technical product manager.
- Experience defining evaluation metrics for ML systems.
- Strong intuition for AI UX patterns and failure handling.
- Prior experience in zero-to-one product environments.
Outcomes
- Product strategy clearly aligns AI capabilities with user needs and company priorities.
- AI features deliver real value, are understandable, predictable, and trusted by users.
- Decisions balance quality, speed, cost, and reliability effectively under uncertainty.
- Roadmaps and priorities are clear, with fast iteration based on real user feedback.
- Teams are aligned, focused, and able to execute on AI product goals with minimal friction.
How We Work
The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning.
Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product.
Interview process
If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.
Remote Technical Product Manager, AI Systems in Wakefield employer: Bjak
A1 is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and technology. With a focus on employee growth, we offer opportunities to work closely with talented engineers and contribute to cutting-edge AI products that have a real-world impact. Our remote setup ensures flexibility while maintaining a collaborative environment, making it an ideal place for individuals looking to make meaningful contributions in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Technical Product Manager, AI Systems in Wakefield
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Bjak!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Bjak would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Bjak through your school's career services!
We think you need these skills to ace Remote Technical Product Manager, AI Systems in Wakefield
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Remote Technical Product Manager, AI Systems, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Remote Technical Product Manager, AI Systems position at Bjak. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Bjak
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
