Lavendo

Implementation Specialist

• Support the Enterprise Integrations team in managing and executing integration processes from design to deployment
• Collect and define requirements from internal stakeholders, estimate task complexity, and plan delivery timelines
• Design and implement reliable, scalable integration solutions using Python, REST, gRPC, Apache Kafka, Redis, and SQL
• Conduct regular code reviews and maintain a consistent, high-quality code base
• Strictly follow delivery deadlines, ensuring production readiness and technical excellence
• Monitor and stabilize integrations post-deployment using observability tools like Grafana
• Actively identify and resolve blockers to maintain project momentum, demonstrating a proactive “get things done” approach

Solutions Implementation Engineer

Solutions Engineer

• Lead end-to-end integration delivery - from scoping and design to development, testing, and deployment - ensuring all solutions meet business requirements and production-ready standards
• Collaborate with the Lead Engineer to manage the integration lifecycle: define requirements, structure and assign tasks, monitor execution, and achieve timely delivery
• Architect and document integration solutions using Python, REST, gRPC, Kafka, Redis, Postman, and SQL, supported by UML, DFD, ERD, and BRD documentation
• Oversee daily project operations by planning sprints, tracking progress, resolving blockers, and maintaining delivery momentum
• Engage stakeholders to align goals, manage scope, and prevent deviations from agreed priorities
• Drive Agile/Scrum practices, facilitate ceremonies, maintain backlogs in YouTrack, and provide transparent reporting
• Ensure system reliability post-deployment through proactive monitoring with Grafana and other observability tools
• Maintain accountability for all milestones by delivering results under pressure while upholding strict implementation and delivery standards
• Conduct thorough code reviews and uphold a clean, consistent, high-quality code base

Solutions Integration Engineer

Security Engineer

• Own and drive full-cycle SaaS sales from prospecting to close for Mid-Market and Enterprise accounts, targeting $100K+ deals
• Build and manage a pipeline through outbound prospecting, networking, and industry events
• Conduct discovery calls, product demonstrations, and executive-level presentations to CIOs, CISOs, Chief Privacy Officers, and VP-level stakeholders
• Develop and execute strategic account plans for Fortune 1000 target accounts
• Navigate complex procurement cycles involving legal, IT, security, and privacy stakeholders across 3-6 month sales cycles
• Collaborate with Solutions Engineering to deliver tailored product demonstrations that address specific compliance needs
• Maintain accurate pipeline forecasting and CRM hygiene in HubSpot
• Represent the company at industry conferences and events

Account Executive – Data Security

Robotics

• Create and own the comprehensive GTM strategy for the Physical AI vertical
• Identify and secure relationships with the top 10 most innovative companies in the ecosystem
• Own the long-term revenue trajectory of the Physical AI domain
• Build the "Physical AI Playbook"
• Map the critical software stack and structure co-sell partnerships
• Serve as the primary voice of the Physical AI customer to Product & Engineering
• Evangelize the company's vision at industry events

Principal, Business Development – Physical AI & Robotics

Backend Engineer

• Design and develop secure, high-performance web applications and APIs using JavaScript, React, and Node.js
• Build efficient algorithms and optimize applications for high-traffic SaaS environments
• Optimize application performance, security, and browser compatibility
• Collaborate with a distributed engineering team to deliver impactful features on aggressive timelines
• Lead technical implementation of complex interfaces and drive architectural decisions
• Contribute to a culture of continuous learning, innovation, and knowledge sharing

Software Engineer, PHP Developer

Business Development Rep

• Generate new leads through cold calling (50+ calls per day), email outreach, and LinkedIn
• Meet or exceed sales targets for setting qualified meetings
• Utilize CRM (Hubspot) and sales tools to track sales performance, manage the pipeline, and maintain client information
• Collaborate closely with cross-functional teams to understand client needs
• Stay updated on industry trends and the competitive landscape

Voice AI Solutions Implementation Engineer, Fluent in Russian

• Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements
• Conduct PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices
• Collaborate with clients to understand their business requirements and develop solution architectures
• Design and document Infrastructure as Code solutions, technical documentation, and how-tos
• Help customers optimize pipeline performance and scalability
• Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams
• Assist with marketing efforts during events such as hackathons, conferences, and webinars

Cloud Solutions Architect – Infra, AI Cloud

• Architect and optimize distributed training and inference systems for large-scale AI models
• Design and deliver customer-focused solutions that maximize performance and business value
• Lead the transition of ML pipelines from POC to scalable production systems
• Build long-term customer relationships, ensuring satisfaction and alignment with strategic goals
• Create whitepapers, deliver technical presentations, and host webinars to share insights and best practices
• Provide technical leadership and mentor teams on AI infrastructure and deployment strategies
• Collaborate with engineering and product teams to prioritize customer feedback and influence product roadmaps

Senior AI/ML Solutions Architect – AI Infra, Cloud

Account Executive

• Run client phone calls, qualifying inbound leads and conducting sales presentations
• Consistently meet and exceed sales quotas and KPIs
• Own the top of the funnel stage from initial contact to qualification and follow-up
• Engage with new and existing clients, maintaining a high conversion rate
• Collaborate with internal teams to tailor client solutions
• Leverage AI, CRM, dashboards, and automation tools for pipeline management and performance tracking
• Take part in team meetings, training sessions, and ongoing skill development
• 60% written communication and client coordination; 40% phone communication

New Homes Sales Consultant, Bilingual in Ukrainian/Russian

• Provide hands-on coaching to BDRs and foster a high-performance, collaborative culture
• Generate new leads through cold calling, email outreach, and LinkedIn
• Meet and exceed sales targets for setting qualified meetings
• Improve and implement new scalable sales processes and playbooks for enterprise cybersecurity/data privacy sales
• Utilize CRM and sales tools to track sales performance, manage the pipeline, and maintain client information
• Collaborate closely with cross-functional teams to understand client needs
• Stay updated on industry trends and the competitive landscape

BDR Manager

Technical Project Manager

• Lead and manage end-to-end product implementations for clients
• Coordinate daily with clients and development teams, keeping both sides aligned and accountable
• Oversee and coordinate developer activities in a structured way: track tasks, monitor status, and ensure quality and deadlines are met
• Act as the main point of contact for delivery, reporting to the VP of Client Delivery
• Provide product expertise to clients and serve as a trusted advisor during the implementation phase
• Proactively identify and resolve issues, keeping projects on track
• Maintain clear and consistent communication with clients, developers, and senior management
• Create and maintain project tracking documentation and regular status reports

Technical Project Manager, Data Privacy & AI

• Architect and implement HPC clusters for AI, simulation, and distributed training using Kubernetes and schedulers like Slurm.
• Integrate NVIDIA Hopper and Blackwell‑class GPUs with NVLink/NVSwitch and InfiniBand/RoCE.
• Deploy and manage GPU Operator and Network Operator for large fleets.
• Design and validate cloud‑native HPC environments with low latency and high bandwidth.
• Define and document reference architectures for AI model training and MLOps.
• Collaborate with NVIDIA and other partners to evaluate new GPU generations and software stacks.
• Benchmark performance, track down bottlenecks, and recommend concrete changes.
• Lead design sessions and architecture reviews with customers focused on performance and reliability.