Qualify inbound leads, execute structured outbound campaigns, book discovery meetings, and maintain accurate CRM records for Account Executive handoffs. Partner with Sales, Pre-Sales, Product Marketing, and Demand Generation to build qualified B2B SaaS pipeline, provide light technical introductions, share market feedback, and improve messaging. Success is measured by meeting quality and pipeline contribution.
This is a quota-carrying position within our Sales organisation. You will generate new business through outbound prospecting, run initial meetings with prospects before they become opportunities, present the product and help close deals, working closely with Account Executives and Pre-Sales colleagues.
What you'll do
- Work towards a quota covering outbound activity, qualified meetings, pipeline and closed business.
- Run initial meetings with prospects to understand their needs and qualify them before they progress to opportunities.
- Present the product clearly and confidently, tailoring the message to each prospect's priorities.
- Contribute to closing deals, supporting Account Executives on opportunities and closing where appropriate.
What you'll bring
- Experience in B2B SaaS sales, inside sales or SDR/BDR roles.
- A proven track record of meeting or exceeding quota or activity targets.
- Strong outbound prospecting skills, with excellent written outreach and confident communication.
- Experience running prospect meetings and presenting a product or solution.
- Exposure to, or a strong interest in, progressing deals through to close.
- Organised follow-up habits and proficiency with CRM tools.
- A genuine interest in enterprise buyers and topics such as risk, compliance, technology and AI.
- Excellent written and spoken English. Additional languages are an advantage, depending on territory.
Nice to have
- Experience selling AI, data, security, GRC or enterprise software.
- Experience supporting webinars or event follow-up.
- Familiarity with sales engagement and sequencing platforms.
Location and working model
- London, United Kingdom.
- Hybrid
- Close coordination with Account Executives and Pre-Sales colleagues across regions.
Compensation
Indicative salary: £50,000–£60,000. OTE: £100,000–£120,000 We offer competitive benefits; details are available on request.
Interview process
- HR screen
- Hiring manager interview
- Technical assessment
- Task or skills assignment
- Culture fit
- Offer
Holistic AI London, England Office
London, United Kingdom
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
Own the technical side of enterprise data protection sales across discovery, proof of concept, validation, and business-case development. Design backup, recovery, and cyber-resilience architectures for hybrid and multi-cloud environments. Lead technical discussions, presentations, implementation support, and stakeholder alignment across infrastructure, cloud, security, identity, and compliance teams. Enable sales teams, influence product improvements, and advise customers on resilient architectures, automation, and identity protection. The role is remote with approximately 50% travel.
Top Skills:
Active DirectoryAPIsAWSAzureBashEntra IdGCPHyper-VInfrastructure As CodeLinuxNasNutanix AhvOciOktaOraclePingPowershellPythonSQL ServerTerraformVMwareWindows
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Manage real-time golf sports betting markets, including compilation, price management, in-play trading, content management, market monitoring, bet settlement, and regulatory compliance. The role requires rapid analytical decision-making, KPI ownership, collaboration with trading and product teams, and flexibility for varied shifts, weekends, and peak sports seasons.
Top Skills:
Ai TechnologiesAutomation PlatformsExcelMS OfficeScripting
Big Data • Information Technology • Productivity • Software • Analytics • Business Intelligence • Consulting
Leads strategic customer engagements by discovering operational challenges, architecting secure AI and agentic solutions, and delivering high-stakes Proof-of-Value projects. Builds LLM systems using RAG, tools, and guardrails; integrates them with enterprise data, identity, and compliance frameworks. Presents AI transformation narratives and ROI to executives, drives implementation, adoption, and value realization, develops reusable methodologies, and mentors junior colleagues.
Top Skills:
Ai AgentsAws BedrockAzure AiCelonis PlatformEnterprise Cloud ArchitectureFunction CallingGoogle Cloud Vertex AiHugging FaceIamLlmsPrompt EngineeringPythonPyTorchRetrieval-Augmented Generation (Rag)Scikit-LearnSQLTensorFlowXgboost
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
