TalentTrade Recruitment Limited

Principal Sales Engineer Location: Central or Southern UK Remote (UK-based) - with travel to customer sites Salary: £125-£155 % bonus + car allowance + extensive benefits package Clearance Requirement: DV (Developed Vetting) - required Our client is at the forefront of digital transformation, supporting the world's most essential organisations through their most complex digital challenges. By providing visibility and insight at an unparalleled scale they help clients solve problems faster, secure what matters, and drive continuous innovation across their digital ecosystems. We are now seeking a Principal Sales Engineer to support the growth of UK public sector accounts. This is a remote, client-facing role for a highly technical and experienced presales professional with a strong Government/Public Sector background and current DV clearance. Role & Responsibilities As Principal Sales Engineer, you will play a vital role in driving revenue by delivering technical presales support, demonstrating product value, and shaping best-fit solutions. Reporting to the Regional Sales Director, you will act as a trusted advisor for public sector clients and internal stakeholders. Responsibilities include: Leading technical discovery and supporting the full sales cycle Creating and delivering high-impact demos and presentations Differentiating solutions from competitors using compelling value stories Acting as a technical expert across integrators, service providers, and Government Partnering with product and engineering to influence roadmaps and relay market feedback Contributing to technical documentation, RFPs, and whitepapers Mentoring Sales Engineers, attending client meetings alongside them Building strong customer relationships and identifying upsell opportunities Representing customer needs internally and advocating for technical alignment Participating in industry events, speaking engagements, and strategic initiatives Key Requirements We are looking for a client-facing technical expert with deep presales experience, capable of operating in complex and secure environments. Essential skills and experience: 15+ years' experience in IT, with at least 10 years in presales, network engineering, or technical support Demonstrable success supporting UK Government or public sector clients Ability to translate technical challenges into clear commercial value Strong expertise in: Cisco routing, switching, gateways, and applications TCP/IP, SNMP, Netflow, VoIP LAN/WAN topologies (MPLS, Frame Relay, ATM) Security concepts and network infrastructure design Network performance and fault/alert management Solid understanding of: Operating systems - Linux, Windows Cloud and virtualisation technologies - SDN/NFV, Public/Private Cloud Performance tools - HP/OV, Tivoli, EMC SMARTS, ArcSight Relevant certifications - CCNA, CCNP, CCIE Formal presales training (e.g. Sandler, Siebel, Afterburner) Excellent communication and presentation skills - verbal, written, and visual Comfortable with 60-70% UK travel Desirable qualifications: Knowledge of products such as Arbor, Radwhere, Riverbed, A10, ExtraHop Experience authoring whitepapers, contributing to product strategy Familiarity with security audits, RFP/RFI responses Track record of mentoring technical presales teams Additional Details Remote Working: Officially home-based Must be comfortable with regular travel for: Client meetings 3-4 days per week Annual conference Quarterly convention for Sales Engineers

Product Owner £40-60k depending on experience London 2 days a week, working from home the remainder of the week My client, a leading provider of risk management software to the energy, commodities, and financial services sectors is actively expanding their team and is looking to add a an analytical Product owner to the team. This position would suit an ex quant or data analyst with a mathematical background who is keen to move into product. Reporting into the Product Manager, The successful Product Owner will be tasked with to managing roadmap planning and delivery, gather requirements from clients, and ensure that analytics features (including calculations like Pricing Curves, VaR, PFE, P&L) are designed, tested, and delivered successfully . Key Responsibilities for the position of Product Owner: Gather and clarify client requirements (especially for new client take-ons). Analyse data and validate outputs for complex analytics (Pricing Curves, VaR, PFE, etc.). Write clear BRD/FRDs and ensure stakeholder alignment. Participate in roadmap planning, mid-term feature planning, and gap analysis. Work with Professional Services post-sales to scope and implement 3-4 projects simultaneously. Help with client questions, bug triage, and after-care. Collaborate with Dev/QA to design, test, and deliver enhancements. Conduct UAT, defect management, and provide feedback loops between clients and engineering. Ideal Background for the position of Product Owner 3+ years in a relevant domain (energy, commodities, or financial services) in an analyst/consulting role. Proficiency in SQL and strong data-analysis skills. Exposure to one or more: Pricing Curves, VaR, PFE, P&L, stress testing, or limits management. Ability to turn business needs into clear, testable specifications and implementation plans. Excellent written and verbal communication with technical and non-technical stakeholders; strong organisation and prioritisation. Profile Fit: Quantitative / data-oriented analyst looking to move into product, with strong communication skills and ability to translate complex analytics into clear specifications. Nice to have Experience with a risk or pricing system, ideally including data validation or construction of Pricing Curves. Familiarity with risk reporting, market data, and risk methodologies. Hands-on UAT/test design and defect management (e.g., Jira/Confluence). Degree in Mathematics, Computer Science, Engineering, or related field or equivalent practical experience. Professional proficiency in English (spoken and written); additional European languages are a plus. Experience in business systems implementation (requirements, configuration, or testing) or data science. Data/Analytics/quant/energy