Virtasant

Sales Development Rep

• Generate qualified meetings with enterprise prospects
• Build and execute outbound email, LinkedIn and calling campaigns
• Personalise outreach into strategic target accounts
• Support Account Based Marketing (ABM) initiatives
• Follow up marketing campaigns and events
• Maintain CRM accuracy and pipeline hygiene
• Own campaigns from idea through to execution
• Building target account lists
• Creating outreach sequences
• Launching campaigns
• Coordinating with Marketing
• Supporting executive events
• Reporting campaign performance
• Support digital pipeline generation by helping build and optimise:
• LinkedIn campaigns
• Gated content campaigns
• Landing pages
• Email nurture campaigns
• Retargeting campaigns
• A/B testing
• Campaign reporting and optimisation
• Own and optimize our GTM technology stack,
• Including: Apollo, ZoomInfo, LinkedIn Sales Navigator, Dripify, CRM, AI tools, Automation workflows, Data enrichment

Sales Development Specialist

• Generate qualified meetings with enterprise prospects
• Build and execute outbound email, LinkedIn and calling campaigns
• Personalise outreach into strategic target accounts
• Support Account Based Marketing (ABM) initiatives
• Maintain CRM accuracy and pipeline hygiene
• Own campaigns from idea through to execution
• Support digital pipeline generation and optimise campaigns

Sales Development Representative

Backend Engineer

• Design and build backend-heavy platform features for our platform
• Productionalise AI-enabled capabilities (e.g. anomaly detection, recommendations, agent-based workflows)
• Implement AI thoughtfully across the entire SDLC - prototyping, testing, iteration, and deployment
• Design and build distributed data pipelines that process cloud billing, usage, and AI telemetry
• Build reliable systems that handle backfills, late-arriving data, and historical reprocessing
• Design scalable data models and APIs that power customer-facing analytics and AI cost insights
• Collaborate closely with Product to turn vision into shipped features
• Identify blockers early, communicate clearly, and iterate fast
• Help shape engineering standards and patterns as the product matures
• Build AI features with explicit evaluation criteria, feedback loops, and guardrails (accuracy, latency, cost, and explainability) so models improve predictably over time

Staff Backend Engineer – FinOps, AI Cost Intelligence Platform

Technical Program Manager

• Own capacity management and forecasting processes across complex technical environments
• Drive continuous improvements to planning, documentation, and operational workflows
• Identify risks, bottlenecks, and opportunities before they impact delivery
• Develop scalable processes that improve operational efficiency
• Ensure capacity planning aligns with business priorities and technical requirements
• Lead end-to-end technical initiatives across multiple teams
• Coordinate engineering efforts to deliver complex programs successfully
• Drive execution while balancing competing priorities
• Track program health, risks, dependencies, and milestones
• Build trusted relationships through clear communication and consistent delivery
• Identify opportunities to expand engagement and create additional client value
• Work closely with engineering teams on technical planning and execution

Technical Program Manager – Capacity Management

DevOps Engineer

• Pick up infrastructure change requests from engineering teams
• Work the team’s PR review queue
• Handle operational fixes and remediations in non-production environments
• Triage and respond to Datadog alerts
• Support common AWS request patterns
• Participate fully in the team’s scrum
• Document what you fix; leave runbooks behind

Senior DevOps Engineer – AWS, Terraform

Solutions Engineer

• Lead cloud cost optimization initiatives across large enterprise environments
• Identify waste, inefficiencies, and architectural opportunities for improvement
• Design governance frameworks that sustain long-term cloud efficiency
• Analyze cloud usage patterns and spending trends
• Partner with engineering teams to implement optimization recommendations
• Work with cloud cost and usage data at scale
• Design and optimize reporting, analytics, and decision-support systems
• Build insights that drive cost optimization decisions
• Collaborate with customers on cloud financial visibility initiatives
• Lead discovery sessions and optimization reviews
• Present recommendations to technical and business audiences
• Build trusted advisor relationships with customers
• Guide engineering and data teams
• Establish best practices around cloud efficiency
• Mentor team members
• Drive architecture decisions that improve both technical and financial outcomes

Senior Solutions Architect – Finops, Cloud Optimization

Security Engineer

• Assess and harden Google Workspace security configurations, including MFA enforcement, administrator privilege reviews, security policies, sharing controls, audit logging, and third-party OAuth/application access.
• Conduct identity and access governance reviews, including user/group/admin access validation, privileged access reviews, MFA coverage assessments, OAuth/SSO application inventory reviews, and joiner/mover/leaver process evaluations.
• Develop and maintain cybersecurity documentation, including remediation plans, governance procedures, exception registers, evidence packages, quarterly access review templates, and executive-ready reports.
• Build and analyze endpoint inventories and assess security controls such as device encryption, patch management, local administrator rights, screen-lock policies, device enrollment, and offboarding/wipe procedures.
• Provide decision support and recommendations regarding endpoint management and security solutions, including Google Endpoint Management, Microsoft Intune, CrowdStrike, SentinelOne, Microsoft Defender for Endpoint, and MSP/MSSP-managed models (decision support only; no tooling implementation required).
• Collaborate with project stakeholders while adhering to established documentation standards, confidentiality requirements, and quality review processes.

Google Workspace Security Architect

Cloud Engineer

• Jump in quickly to troubleshoot and resolve production issues (including SSO/integration challenges)
• Burn down hypercare defects and stabilize the platform
• Lead hands-on development across Service Cloud (not just design/architecture)
• Improve technical quality, scalability, and maintainability
• Work on core Service Cloud capabilities like case lifecycle, SLAs, Omni-Channel, chat, and notifications
• Support portal development (front-end + back-end) and broader integrations (e.g., SAP, Cloudflare/WAF)