At a Glance
- Tasks: Lead AI and data platform initiatives, driving product strategy and technical solutions.
- Company: Provectus, a leader in enterprise-grade AI and data solutions.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Join a dynamic team with a remote-friendly culture and excellent career advancement opportunities.
- Why this job: Shape the future of AI while working with cutting-edge technologies and top-tier teams.
- Qualifications: 5-7 years in technical product management and strong engineering skills required.
The predicted salary is between 100000 - 140000 £ per year.
At Provectus, we architect enterprise‐grade AI and data solutions that transform how organizations leverage their most valuable asset – data. We combine deep technical expertise with strategic product thinking to deliver scalable, production‐ready AI systems and modern data platforms.
We are seeking a Senior Technical Product Manager with strong engineering acumen and product leadership experience to drive sophisticated AI and data platform initiatives. You bring the technical depth to engage in architecture discussions, evaluate trade‐offs, and make informed decisions about complex system designs – while maintaining focus on business value and user outcomes.
You are a technical translator who bridges the gap between possibility and practicality, helping clients navigate the rapidly evolving AI landscape with confidence. Your background allows you to assess technical feasibility, identify risks early, and guide engineering teams toward optimal solutions.
What You Will Do
- Architect Product Strategy for Technical Platforms
- Define product strategy for AI platforms, data infrastructure, and enterprise‐scale data migration initiatives.
- Lead technical product discovery – evaluating emerging technologies (GenAI, Agentic AI, vector databases, streaming architectures) and assessing fit for client use cases.
- Design solution architectures in collaboration with data architects and engineers, making build‐vs‐buy decisions and technology stack selections.
- Develop technical roadmaps balancing innovation, scalability, security, and time‐to‐value.
- Drive AI/ML Product Development
- Own end‐to‐end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi‐modal AI systems.
- Translate business requirements into technical specifications, API contracts, data schemas, and system integration patterns.
- Guide model selection, evaluation criteria, and deployment strategies for ML models in production environments.
- Champion MLOps practices including model versioning, monitoring, performance tracking, and continuous improvement loops.
- Manage Complex Data Platform Initiatives
- Lead product planning for data lake/lakehouse implementations, warehouse modernizations, and cloud data platform migrations.
- Define data product requirements including ingestion pipelines, transformation logic, data quality rules, governance policies, and access patterns.
- Oversee integration of multiple data domains, ensuring interoperability, data lineage, and metadata management.
- Partner with data engineering teams on performance optimization, cost management, and scalability planning.
- Execute Through Agile Delivery
- Facilitate Agile ceremonies and maintain well‐groomed backlogs with properly sized, technically detailed Features and epic‐level stories.
- Work closely with engineering teams to decompose complex features into incremental releases with clear technical dependencies.
- Define sprint goals aligned with quarterly objectives and long‐term product vision.
- Balance technical debt management with feature delivery, advocating for enablers and architectural improvements.
- Enable Technical Decision‐Making
- Conduct technical due diligence, proofs‐of‐concept, and spike solutions to validate approaches before full investment.
- Analyze trade‐offs between competing technical solutions, considering performance, cost, maintainability, and developer experience.
- Document technical decisions, architectural decision records (ADRs), and design patterns for knowledge sharing.
- Communicate technical strategies and recommendations to executive stakeholders with clarity and conviction.
What You Bring
- Required Qualifications
- Bachelor's degree in Technology or Business related field (Master's preferred).
- 5‐7+ years of experience in technical product management, solutions architecture, or software engineering.
- 5+ years in product management roles with demonstrated end‐to‐end product ownership.
- 3‐5+ years of experience with AI/ML products, Generative AI, or data platform development.
- 3‐5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies.
- Deep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack technologies.
- Technical Expertise
- AI/GenAI: LLM integration, prompt engineering, RAG architectures, fine‐tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen).
- Data Engineering: ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures.
- Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery).
- MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking.
- Data Migration: Assessment methodologies, migration patterns, data validation, cutover strategies.
- Development Practices: API design, microservices, containerization (Docker, Kubernetes), CI/CD pipelines.
- Core Competencies
- Solution design and technical architecture capabilities.
- Requirements translation from business needs to technical specifications.
- Strong analytical thinking and problem‐solving in complex technical domains.
- Exceptional stakeholder management across technical and non‐technical audiences.
- Clear technical communication—documenting complex systems and presenting architectural decisions.
- Risk identification, dependency mapping, and mitigation planning.
- Preferred Qualifications
- Prior software development or data engineering experience (3+ years).
- Background in consulting or professional services, delivering client solutions.
- Certifications: AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer, Certified Scrum Product Owner.
Personal Attributes
- Insatiable curiosity about emerging technologies and a hands‐on experimentation mindset.
- Close attention to detail with quality focus and commitment to technical excellence.
- Collaborative team player who thrives in cross‐functional environments.
- Adaptable and comfortable navigating ambiguity in fast‐paced consulting contexts.
- Passion for mentoring engineers and elevating technical practices.
Why Join Us
- Lead top‐tier engineering teams and cutting‐edge agentic AI systems, enterprise AI platforms.
- Shape how enterprises adopt AI – from strategy to architecture to delivery.
- Grow within a team building modern AI‐delivery practices, tools, and frameworks.
- Remote‐friendly culture with strong engineering, data, and consulting partnerships.
Location & Compensation
London, England, United Kingdom
Salary: $149,000.00 - $256,000.00
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Senior, Principal Technical Solution Owner AI & Data Platforms (Remotely from Europe or UK) in London employer: Provectus
At Provectus, we pride ourselves on being an exceptional employer that fosters a remote-friendly culture, allowing our team members to thrive while working from anywhere in Europe or the UK. We offer competitive salaries and a commitment to employee growth through mentorship and collaboration on cutting-edge AI and data solutions, ensuring that our staff are at the forefront of technological innovation. Join us to be part of a dynamic team that values technical excellence and empowers you to shape the future of enterprise AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior, Principal Technical Solution Owner AI & Data Platforms (Remotely from Europe or UK) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects and achievements. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and data platforms. We all know how important it is to demonstrate your technical depth and problem-solving skills.
✨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!
We think you need these skills to ace Senior, Principal Technical Solution Owner AI & Data Platforms (Remotely from Europe or UK) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with AI and data platforms, and don’t forget to showcase your technical product management skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and data solutions. Share specific examples of your past successes and how they relate to the role. Let’s see your personality come through!
Showcase Your Technical Expertise:In your application, be sure to highlight your technical skills, especially in areas like cloud architectures and MLOps. We’re looking for someone who can bridge the gap between technical and business needs, so make that clear!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Provectus!
How to prepare for a job interview at Provectus
✨Know Your Tech Inside Out
Make sure you brush up on the latest AI and data platform technologies mentioned in the job description. Be ready to discuss your experience with LLMs, RAG architectures, and cloud platforms like AWS or Azure. This will show that you’re not just familiar with the concepts but can also engage in meaningful technical discussions.
✨Showcase Your Product Management Skills
Prepare examples of how you've successfully managed product lifecycles, especially in AI/ML contexts. Highlight your experience with Agile methodologies and how you've led teams through complex projects. This will demonstrate your ability to drive initiatives from conception to delivery.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You’ll need to bridge the gap between technical and non-technical stakeholders, so being able to articulate your thoughts clearly is crucial. Consider doing mock interviews to refine your communication skills.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and decision-making processes. Think about past challenges you've faced in product management or technical architecture and how you navigated them. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
