At a Glance
- Tasks: Lead AI and data platform initiatives, driving product strategy and development.
- Company: Provectus, a leader in enterprise-grade AI and data solutions.
- Benefits: Remote-friendly culture, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and mentorship.
- 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 70000 - 90000 £ per year.
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 Birmingham 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 collaborating with top-tier engineering teams. We offer ample opportunities for professional growth and development in the rapidly evolving field of AI and data platforms, ensuring that you are at the forefront of innovation. Join us to shape the future of enterprise AI solutions and enjoy a supportive environment that values technical excellence and teamwork.
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 Birmingham
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Provectus or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Provectus.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Provectus.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Provectus that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Remote Senior, Principal Technical Solution Owner AI & Data Platforms (Remotely from Europe or UK) in Birmingham
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Provectus.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Provectus and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Provectus
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Provectus uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
