Top Tech Jobs & Startup Jobs

Lead BlueOptima’s market entry and business growth in Japan by recruiting SIer, distributor, and consulting partners; developing Japanese market messaging and events; selling enterprise software to CTOs, CIOs, and development leaders; conducting product demos; and owning the Japan business plan, pipeline, and reporting. The role is expected to build the partner-led business initially and later establish and lead the local team.

Own and build BlueOptima’s Revenue Operations function, including CRM governance, forecasting, revenue data quality, deal desk processes, planning, quota and commission administration, renewals, and sales enablement. Partner with Finance, the CRO, CEO, and board to establish reliable revenue metrics and forecasting. Lead CRM architecture, automation, integrations, process definitions, and operational cadence while developing the function and potentially a small team.

Own Code Insights’ application security product strategy, roadmap, delivery, customer pilots, and commercial outcomes. Lead roadmap decisions across secrets detection, SAST, and SCA; present strategy to executives; engage CISOs and security architects; convert pilots into paid, retained, and expanded accounts; and develop product-led, self-serve adoption through CLI, pre-commit, and CI/CD workflows.

Develop qualified enterprise sales opportunities by targeting engineering and technology leaders, conducting phone, email, and LinkedIn outreach, holding consultative qualification conversations, mapping stakeholders, maintaining accurate CRM data, and booking accepted meetings for Account Executives. The role also coaches newer SDRs, improves messaging, and supports pipeline generation across banking, financial services, insurance, and other large enterprises.

Lead a team of four enterprise Account Executives selling £100k–£200k ARR SaaS deals across the UK and EMEA. Own forecasting, MEDDPICC-based deal inspection, pipeline discipline, deal coaching, executive selling, negotiation, and procurement. Partner with SDR and Customer Success leadership to improve pipeline quality and expansion. The role requires hands-on leadership, technical fluency with engineering buyers, and accurate forecasting.

Lead the strategy and roadmap for a business-critical B2B SaaS product, owning growth, retention, adoption, and competitive positioning. Partner with engineering, design, sales, marketing, customer success, executives, and enterprise customers. Shape UX, AI model evaluation, technical decisions, go-to-market activities, and renewals. Mentor product managers, establish rigorous product practices, and use agentic AI tools in product workflows. The role requires deep technical product management experience in AI, developer tools, DevOps, software engineering intelligence, or data analytics.

Build and lead the company’s first channel partnerships program. Recruit cloud marketplace, hyperscaler, consultancy, and systems integrator partners; negotiate agreements; generate registered deals; establish referral, commission, onboarding, enablement, and scorecard processes; and co-sell with account executives. Maintain accurate partner pipeline data in HubSpot and develop partner-sourced revenue across enterprise financial services and technology accounts.

Develop and own end-to-end machine learning and data engineering solutions, from exploring structured and unstructured datasets through production deployment and monitoring. Apply advanced machine learning, NLP, deep learning, and statistical techniques to business problems; improve existing models; coordinate with engineering and client teams; define requirements, timelines, and success metrics; and resolve production issues.

Automate UI, API, data-centric, and integration tests for a distributed version-control product. Collaborate with engineering and architecture teams to improve automation coverage, validate expected behavior before releases, integrate test suites into CI/CD pipelines, reduce manual testing, and provide stakeholder reports. The role requires Java and version-control experience, with opportunities for recent graduates who have academic, internship, or practical test-automation experience.

Lead client onboarding, platform installation, configuration, and technical implementation. Provide Tier 1 support, resolve integration and data issues, monitor client data quality, train administrators, improve adoption, and collaborate with Engineering and Product on feature rollouts. The role requires technical troubleshooting, client communication, project coordination, and familiarity with Linux, Docker, Kubernetes, SQL, and Bash.