Top Tech Jobs & Startup Jobs

Owns Imprivata’s end-to-end revenue pipeline operating discipline, improving pipeline creation, qualification, progression, forecasting, data quality, and conversion. The role leads cross-functional governance across Marketing, Sales Development, Sales, Finance, and Business Operations; develops playbooks, dashboards, predictive analyses, and inspection routines; ensures Salesforce accuracy; coaches leaders; and advises executive stakeholders on pipeline performance, risks, and revenue predictability.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

Own a US enterprise sales territory focused on landing net-new logos among companies with 1,000–10,000 employees. Build outbound pipeline, run full-cycle deals, lead MEDDPICC-based discovery, collaborate with Solutions Architects on technical evaluations, and engage data and AI executives. The role also contributes customer insights to Product and Marketing, develops segment strategy and sales collateral, and helps build the growing enterprise sales team.

Lead implementation strategy and customer rollouts for major B2B opportunities, partnering with Sales, Account Management, Product, and Engineering. Manage and coach Implementation Managers, oversee deployment milestones, deliver customer training, drive product adoption, remove implementation blockers, and establish scalable onboarding processes. Serve as the senior implementation voice for strategic customers and ensure smooth transitions to Account Management.

Manage recurring billing cycles, revenue recognition, contract tracking, customer records, and invoice inquiries. Support audits by preparing accounts receivable and revenue documentation, maintain billing agreement records, and collaborate with Finance, Accounting, and external accounting partners. The role requires knowledge of software billing, ASC 606, general ledger accounting, month-end close, and advanced spreadsheet skills.

Leads and develops a team of Solutions Engineers while remaining hands-on with customer projects. Responsibilities include solution design, integrations, customer discovery, effort estimation, project risk management, delivery quality, staffing, recruiting, escalations, and AI-enabled delivery initiatives. The role partners with Sales and Professional Services, serves manufacturing and industrial customers, and requires travel up to 25%.

Build and operate Dragos’s web application, GraphQL and gRPC APIs, and client SDKs. Develop React and TypeScript features, design versioned API contracts, maintain Python, TypeScript, and Go SDKs, and collaborate with Product, Design, and backend engineering. Improve performance, accessibility, observability, security, testing, and code quality while supporting security data at scale.

Manage strategic customer accounts through onboarding, implementation, data feed configuration, stakeholder engagement, reporting, and ongoing success initiatives. Serve as a strategic advisor and escalation point, analyze performance data, advocate for customer needs, improve processes, and coordinate with Sales, Product, Engineering, and Support to drive measurable outcomes.

Leads end-to-end development of advanced phased-array radar systems, including architecture, requirements, technical reviews, risk mitigation, integration, testing, and deployment. Provides technical leadership across hardware, software, systems integration, and test teams; drives R&D roadmaps and customer solutions. Responsibilities also include invention disclosures, technical publications, customer briefings, and proposal support.

Designs and deploys AI-powered features and scalable AI/ML services across SaaS products. Responsibilities include translating business problems into AI solutions, integrating large language models, preparing data, evaluating model performance, writing Python, building secure deployment infrastructure, and collaborating with product, data, and cloud operations teams. The role requires production AI/ML experience, scalable data infrastructure expertise, AWS familiarity, and modern DevOps practices.