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Manage and grow Imprivata’s North American channel partner network, including recruiting, business planning, enablement, sales training, quarterly business reviews, and revenue performance. Collaborate with regional sales managers to achieve targets, expand opportunities in healthcare and commercial markets, and position Imprivata’s mobility and identity and access management solutions. Travel to customers and partners is expected for 10% to 25% of the role.

Leads architecture and technical direction for scalable, high-availability software services. Owns complex, multi-team initiatives, makes autonomous technical decisions, partners cross-functionally, mentors engineers, establishes standards, and advocates for quality. The role develops mission-critical systems supporting millions of endpoints and requires deep Java expertise, scalable system design, API development, relational databases, and strong testing practices.

Build scalable, API-first platform capabilities through manifest-driven development. Develop Java and Kotlin backend services and Python workers for third-party integrations, collaborate across engineering teams, participate in architecture reviews, and troubleshoot production systems using logs, metrics, and traces. The role requires expertise in highly scalable systems, object-oriented design, REST services, relational databases, responsive messaging, caching, and software quality practices.

Develop and scale Java and Kotlin backend services powering vulnerability detection, CVE correlation, risk prioritization, and remediation workflows across millions of endpoints. Design high-availability distributed systems, implement scalable data structures and APIs, contribute production code, and uphold rigorous testing and quality standards. Collaborate with product and detection teams to improve vulnerability remediation speed.

Designs scalable merchant solutions for Affirm’s enterprise customers by leading technical discovery, architecting integrations, supporting pre-sales activities, developing demos, and advising sales, engineering, and product teams. The role serves as a trusted technical advisor, influences product priorities through customer feedback, creates reusable enablement materials, and supports complex e-commerce, checkout, payment, and point-of-sale implementations.

Design, develop, launch, and maintain scalable backend systems and APIs used by merchant and partner integrations. Collaborate with engineers and stakeholders, balance speed with system quality, debug code, conduct code reviews, and write tested, extensible software. The role requires experience with distributed systems, Python or Kotlin, AWS, MySQL, and Kubernetes, along with strong communication and ownership of professional growth.

Provides advanced technical support for SaaS customers, investigating complex issues, troubleshooting integrations and APIs, managing escalations, and delivering consultative guidance. The role partners with Engineering and internal technical teams, supports Premium customers, mentors teammates, improves processes, creates help content, and manages multiple queues while meeting customer and team KPIs.

Own the MLOps foundation for a shared enterprise AI platform. Build production code, infrastructure automation, delivery pipelines, model and prompt lifecycle tooling, serving systems, observability, evaluation, and cost controls. Establish technical guardrails, governance, security, and operational standards while embedding with teams to move AI workloads into reliable production. Provide principal-level technical leadership, mentor engineers, influence architecture, and communicate trade-offs with technical and executive stakeholders.

Build and maintain custom security tools, middleware, automation, APIs, integrations, dashboards, and security workflows. Integrate identity, endpoint, SIEM, SaaS, and other security platforms using APIs, cloud services, containers, and CI/CD. Translate security policies into secure, code-driven solutions while supporting SOAR, continuous monitoring, compliance, and cross-functional collaboration.

Manages global treasury operations, including cash and liquidity management, forecasting, FX exposure and hedging, investments, banking relationships, debt facilities, reconciliations, compliance, and treasury systems. The role leads process optimization, automation, controls, insurance renewals, and the implementation of Trovata Treasury Management System while partnering with finance, accounting, tax, IT, banks, and senior leadership.

Partners with engineering teams to identify and remediate product security risks across the software development lifecycle. Responsibilities include threat modeling, secure architecture and coding guidance, security testing, vulnerability prioritization, penetration testing coordination, bug bounty remediation, application monitoring, developer training, and secure deployment practices. The role also advances AI-assisted security tooling, DevSecOps practices, security champions, Kubernetes and container security, and scalable risk-based remediation frameworks.

Design, build, and support high-throughput, low-latency LLM inference and data pipelines; collaborate with data scientists to post-train and evaluate models; implement scalable, production-ready systems with strong testing, monitoring, and performance focus; mentor engineers and iterate on architecture, reliability, and user-facing AI applications.

Conduct AWS cloud threat hunting for global clients using Falcon, threat intelligence, cloud logs, queries, and scripts. Review configurations, identify adversarial activity and unauthorized access risks, develop defensive recommendations, and manage client projects. Communicate findings through technical reports, presentations, and stakeholder briefings, including to CISO-level audiences, regulators, and legal counsel.

Design, build, and operate agentic AI systems end-to-end for Professional Services. Translate stakeholder needs into secure, scalable multi-agent architectures, define performance benchmarks, manage deployments and incident response, advise leadership, mentor teammates, and maintain runbooks and production tooling including on-call responsibilities.

Provides client service, operational, marketing, and administrative support to Private Client Advisors. Responsibilities include account opening, money movement, investment trades, client request resolution, relationship and account reviews, performance reporting, wealth-planning support, lead generation, risk management, Know Your Customer procedures, compliance documentation, and work prioritization. The role requires active securities licensing and obtaining additional Series 66 and insurance licenses within 60 days.

Manage inventory transactions across NetSuite and 3PL warehouse systems, coordinate daily 3PL operations, reconcile system and physical inventory, maintain process and financial controls, monitor 3PL performance, resolve discrepancies, improve warehouse processes, and provide accurate data for S&OP, replenishment, and supply planning.

Leads a team of 6–9 Strategic Customer Success Managers serving complex enterprise accounts. Owns retention, renewals, upsell and cross-sell targets, account strategy, success planning, forecasting, customer health, executive business reviews, and escalations. Develops customer success playbooks, advocates for client needs internally, builds executive relationships, and partners with Sales, Product, and Marketing to improve outcomes. Also oversees recruiting, career development, team performance, and change management.

Leads Motive’s internal communications strategy, narrative, and cadence across company-wide forums, executive messaging, video, Slack, intranet, email, and other channels. Advises executives, supports crisis and change communications, aligns internal and external messaging, measures employee sentiment, and improves engagement programs. The role also partners with Corporate Communications, Legal, and People teams and mentors communications talent while remaining an individual contributor.

Build and ship production AI systems across retrieval, knowledge graphs, inference, agentic workflows, and data platforms. Develop customer-context retrieval, scored signals, evaluation and observability capabilities, and workflows that turn insights into action. Work hands-on with large and small models, durable orchestration, cloud deployment, inference-cost optimization, and high-volume observability data. Establish reusable engineering patterns, collaborate with product and platform teams, and mentor through strong technical contributions.