At a Glance
- Tasks: Lead the product strategy for AI-driven testing systems and drive technical decisions.
- Company: Fast-scaling AI software company with a mission-driven, people-first culture.
- Benefits: Competitive salary, equity opportunities, remote work, and comprehensive benefits.
- Other info: Join a diverse team where your ideas can make a real impact.
- Why this job: Shape the future of AI-powered software delivery in a fully remote role.
- Qualifications: 7+ years in product management with strong technical expertise in AI/ML.
The predicted salary is between 70000 - 90000 € per year.
Remote | AI / Test Automation | Competitive Salary + Equity
Senior or Principal-level TPM role at a fast-scaling AI-powered software company.
Own the end-to-end product lifecycle for intelligent, AI-driven testing systems with deep technical scope across AI/ML, APIs, distributed systems and platform architecture. Fully remote working with genuine autonomy and trust. Competitive salary, equity opportunities and comprehensive benefits.
About the Company
Our client is a high-growth technology company at the forefront of AI-powered test automation, transforming how software teams deliver at scale. With a mission-driven, people-first culture and a remote-first approach, they are building genuinely innovative products that sit at the intersection of AI, machine learning and modern software delivery.
This is a senior individual contributor role for a Technical Product Manager who wants to operate at the deep end of AI-powered product development. You will own the technical product strategy and roadmap for complex, AI-driven systems, working at the intersection of product, engineering and machine learning. Partnering closely with engineering leadership, you will drive architecture decisions, define system behaviours, and translate complex business problems into scalable platform solutions.
Key Responsibilities
- Define and drive the technical product strategy and roadmap for AI-powered systems, aligning platform capabilities with customer needs and business goals.
- Own the end-to-end product lifecycle from system design and requirements through delivery, experimentation and iteration.
- Translate complex business problems into scalable system solutions including APIs, data flows, system behaviours and edge cases.
- Partner with engineering to drive architecture decisions and technical tradeoffs across scalability, performance, reliability and cost.
- Drive development of AI/ML-powered features, defining evaluation frameworks, feedback loops and continuous improvement processes in non-deterministic environments.
- Define and monitor system and product-level metrics to measure performance, user impact and business outcomes.
- Prioritise initiatives based on technical feasibility, business impact and user feedback, managing dependencies and execution sequencing.
- Identify and mitigate technical risks and bottlenecks, ensuring high-quality, scalable delivery.
- Act as the bridge between product and engineering, aligning stakeholders and driving clear, decisive execution.
What You'll Need
Essential
- 7+ years of product management experience with a strong track record owning technical, platform or AI-driven products.
- Strong understanding of software architecture, APIs and distributed systems, with the ability to engage in technical design and system-level decision-making.
- Experience working closely with engineering on complex technical domains such as AI/ML systems, DevOps or infrastructure.
- Ability to define clear technical requirements and system behaviours, breaking complex initiatives into actionable delivery plans.
- Demonstrated experience prioritising work based on technical feasibility, business impact and user feedback.
- Strong analytical and data-driven mindset, with experience using metrics to guide product and system decisions.
- Proven ability to operate in ambiguous, fast-paced environments, driving alignment across cross-functional teams.
Desirable
- Experience with agent-based or LLM-powered systems including orchestration, evaluation and feedback loops.
- Familiarity with cloud infrastructure (AWS, GCP or Azure) and modern software delivery pipelines.
- Agentic AI experience and technical understanding of AI models and agents.
Why Apply?
- Competitive salary with equity opportunities at a high-growth AI company.
- Fully remote working with real autonomy and a genuine trust-first culture.
- Mission-driven environment building products that are changing how software is delivered globally.
- Strong investment in your development, with real scope to grow your role and career.
- Inclusive, people-first culture where diverse perspectives are valued.
- Comprehensive benefits package supporting your wellbeing and financial future.
If you are a technically-minded product leader who wants to shape the future of AI-powered software delivery, I would love to hear from you.
Senior Technical Product Manager (AI Platforms) employer: Ocho
Our client is an exceptional employer, offering a fully remote working environment that fosters genuine autonomy and trust. With a mission-driven, people-first culture, employees are empowered to innovate at the forefront of AI-powered test automation, while enjoying competitive salaries, equity opportunities, and a strong commitment to personal and professional growth. The inclusive atmosphere values diverse perspectives, ensuring that every team member can contribute meaningfully to transformative projects in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Technical Product Manager (AI Platforms)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn, especially those who work at companies you're interested in. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for interviews by diving deep into the company’s products and tech stack. Show them you’re not just another candidate; you’re genuinely excited about what they do and how you can contribute.
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with their needs, especially around AI and product management. Confidence is key, so rehearse until it feels natural.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Technical Product Manager (AI Platforms)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences that align with the Senior Technical Product Manager role. Highlight your experience with AI, APIs, and distributed systems to show us you’re the right fit!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about AI-powered software delivery. Share specific examples of how you've driven product strategy and worked closely with engineering teams in the past.
Showcase Your Technical Depth:In your application, don’t shy away from discussing your technical expertise. We want to see how you’ve engaged in system-level decision-making and tackled complex technical challenges in previous roles.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Ocho
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI and machine learning concepts. Be prepared to discuss how these technologies can be applied in product management, especially in the context of test automation. Show that you can translate complex technical ideas into practical solutions.
✨Master the Product Lifecycle
Familiarise yourself with the end-to-end product lifecycle, particularly for AI-driven systems. Be ready to share examples from your past experiences where you successfully managed product strategy, design, and delivery. Highlight your ability to iterate based on user feedback and performance metrics.
✨Engage with Technical Depth
Since this role requires a deep understanding of software architecture and distributed systems, prepare to discuss specific architectural decisions you've made in previous roles. Be confident in explaining how you approach technical trade-offs and system behaviours, as this will demonstrate your capability to bridge product and engineering.
✨Showcase Your Analytical Skills
Bring examples of how you've used data to drive product decisions. Discuss the metrics you’ve monitored and how they influenced your prioritisation of initiatives. This will show that you have a strong analytical mindset and can operate effectively in fast-paced environments.
