At a Glance
- Tasks: Lead AI and data platform initiatives, driving product strategy and development.
- Company: Provectus, a leader in AI and data solutions with a remote-friendly culture.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and collaboration in a fast-paced environment.
- 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 or software engineering, with AI/ML experience.
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) 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)
✨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. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by researching the company’s recent projects and challenges. Tailor your answers to show how your experience aligns with their needs, especially in AI and data solutions.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Remote Senior, Principal Technical Solution Owner AI & Data Platforms (Remotely from Europe or UK)
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 experiences that align with our needs, and don’t forget to show your personality!
Showcase Your Technical Acumen:In your application, be sure to mention any relevant projects or technologies you've worked with, especially those related to AI/ML and cloud platforms. We want to see how you can bridge the gap between technical possibilities and practical solutions.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 how you would approach product strategy or technical decision-making in real-world situations. Practising these scenarios can help you articulate your thought process clearly.
✨Showcase Your Agile Experience
Since the role involves working in Agile environments, be prepared to share specific examples of how you've facilitated Agile ceremonies or managed backlogs. Highlight your experience in breaking down complex features into manageable tasks and how you’ve aligned sprint goals with long-term objectives.
✨Communicate Clearly and Confidently
You’ll need to convey technical strategies to both technical and non-technical stakeholders. Practice explaining complex ideas in simple terms. Use clear examples from your past experiences to demonstrate your ability to bridge the gap between technical feasibility and business value.
