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Senior Technical Solutions Product Manager
LondonSource: WhatJobs
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Overview
Senior Technical Solutions Product Manager at Nasuni owns and evolves integrated enterprise solutions that fuse Nasuni technology with cloud platforms, security products, data services and partners. You work at the intersection of solutions architecture, technology alliances and product management, building lab-tested reference environments and translating insights into product improvements. This hands-on role requires you to diagnose complex integrations, manage partner relationships and drive solution readiness across on-prem and cloud. You’ll shape how Nasuni and partners deliver reliable, scalable unstructured data solutions for customers.
Pay / Benefits
Best in class onboarding and training
Health, dental and vision plans
Life and disability insurance
Retirement plan
Employee referral bonuses
Flexible remote work policy
Responsibilities
Design, build and validate end-to-end enterprise solutions spanning Nasuni, third-party platforms, public cloud and customer infrastructure
Independently create lab and reference environments involving identity services, networking, security, virtualization, compute and storage across on-premises and cloud environments
Own technical relationships with technology-alliance partners, aligning engineering roadmaps as products evolve
Diagnose complex integration issues, reproduce problems in lab environments and drive resolution with internal teams and partners
Validate compatibility and readiness through PoCs, release testing and reference deployments
Translate customer and partner feedback into integration requirements, technical recommendations and product-roadmap input
Evaluate potential technology partners and alternative solutions to close integration gaps
Develop reusable reference architectures, deployment guidance and technical documentation for customers, Support and field teams
Stay current across enterprise storage, hybrid cloud, security, data governance and emerging AI infrastructure use cases
Leverage AI-assisted research and documentation workflows to improve speed and insight while protecting sensitive information
Key requirements
6 to 10+ years of relevant experience in solutions architecture, systems/infrastructure engineering, solutions engineering, technical product work or related discipline
Hands-on experience building and troubleshooting enterprise infrastructure
Working knowledge of SMB/NFS and modern object/API approaches like S3 or REST
Practical experience with cloud infrastructure in AWS, Azure and/or GCP and hybrid on‑premises/cloud environments
Experience integrating multiple vendor technologies into an end-to-end solution
Strong grounding in networking, identity, security and virtualised infrastructure
Experience diagnosing difficult technical issues across components or boundaries
Ability to communicate architecture and trade-offs to engineers, partners, customers and non-specialists
Experience building full enterprise test environments from identity and networking to compute, storage, security and cloud connectivity
Experience owning architecture and ongoing health of a third-party integration
Experience moving from legacy NAS to modern cloud/object/data-platform architectures
Understanding of emerging AI infrastructure and unstructured-data use cases and their enterprise relevance
Clear and effective communication with engineers, partners, customers and non-specialists
Ability to work across cross-functional teams and stakeholders
Problem-solving mindset and hands-on troubleshooting
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