At a Glance
- Tasks: Lead AI and data platform initiatives, driving product strategy and development.
- Company: Join Provectus, a leader in AI and data solutions with a collaborative culture.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on cutting-edge technology and continuous improvement.
- Why this job: Shape the future of AI while working on innovative projects that make a real impact.
- Qualifications: 5-7 years in technical product management with strong AI/ML experience required.
About Provectus
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.
Who We're Looking For
We're 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're 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.
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.
Remote Senior, Principal Technical Solution Owner AI & Data Platforms (Remotely from Europe or UK) in Peterborough employer: Provectus
At Provectus, we pride ourselves on being an exceptional employer that fosters a remote-friendly culture, allowing you to work from anywhere in Europe or the UK while leading innovative AI and data platform initiatives. Our commitment to employee growth is evident through opportunities to shape cutting-edge technologies and collaborate with top-tier engineering teams, all within a supportive environment that values technical excellence and continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior, Principal Technical Solution Owner AI & Data Platforms (Remotely from Europe or UK) in Peterborough
✨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 project that highlights your expertise in AI and data platforms. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to technical product management. We all know that confidence is key, so get comfortable talking about your experience!
✨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 Remote Senior, Principal Technical Solution Owner AI & Data Platforms (Remotely from Europe or UK) in Peterborough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your technical expertise in AI, data platforms, and product management 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 and data solutions. Share specific examples of your past work that align with our needs, and don't forget to express your enthusiasm for joining our team!
Showcase Your Technical Acumen:In your application, demonstrate your understanding of cloud architectures and modern data stack technologies. We want to see how you can bridge the gap between technical possibilities and practical solutions.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. This way, we can easily track your application and ensure it reaches the right people in our team!
How to prepare for a job interview at Provectus
✨Know Your Tech Inside Out
Make sure you brush up on the latest trends in AI and data platforms. Be ready to discuss specific technologies like LLMs, RAG architectures, and cloud services like AWS or Azure. This will show that you’re not just familiar with the concepts but can also engage in deep technical discussions.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to evaluate trade-offs or make decisions based on hypothetical scenarios. Think about past experiences where you had to balance technical feasibility with business value, and be ready to share those stories.
✨Showcase Your Agile Experience
Since the role involves working in Agile environments, be prepared to discuss your experience with Agile methodologies. Highlight how you've facilitated ceremonies, managed backlogs, and delivered features incrementally. This will demonstrate your ability to thrive in a fast-paced setting.
✨Communicate Clearly and Confidently
Practice articulating complex technical concepts in a way that non-technical stakeholders can understand. Use examples from your past work to illustrate your points. Clear communication is key, especially when discussing architectural decisions and product strategies.
