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The Staff Software Engineer will build and scale machine learning systems for personalization, collaborating with teams to enhance project quality and performance.

Lead architecture and implementation of Attentive's Onsite Growth platform, building scalable backend services, APIs, and shared infrastructure. Drive cross-functional technical strategy with product, design, ML, and data teams, improve system reliability and observability, and mentor engineers. Identify and remediate systemic risks while enabling experimentation and AI-driven optimization to increase onsite conversion and list growth.

Act as a technical liaison between customers, Customer Success, and Engineering to triage and resolve technical issues via Zendesk/JIRA/calls. Handle incidents (including on-call), translate customer feedback into engineering actions, develop reusable solutions, identify and escalate bugs, and collaborate cross-functionally to mitigate site event incidents.

As a Mid Market Account Executive, you will sell multiple products, engage with C-suite and VP-level marketing contacts, and manage a sales pipeline while exceeding quotas.

Lead design and implementation of scalable, reliable platform systems; define SLIs/SLOs and observability; drive cross-team strategic initiatives; mentor engineers; own production standards, incident management, and cost/operational optimization to improve platform reliability and scalability.

Own and improve Attentive's first-party data collection across the JS tag, Cloudflare Workers, and Java backend. Expand edge compute capabilities, build agentic AI systems to detect and fix data-quality issues, harden the event ingestion pipeline for reliability and observability, and lead technical direction on a small autonomous team while mentoring engineers.

Own architecture and long-term evolution of the NetSuite financial platform. Define multi-quarter architecture, build declarative and programmatic NetSuite solutions, lead complex redesigns (billing, pricing, OneWorld), implement integrations and release management, reduce technical debt, and ensure system stability, scalability, and CI/CD-driven deployments.

Design and maintain scalable backend systems for multi-channel, AI-driven messaging. Collaborate cross-functionally to build high-performance services, optimize message delivery at massive scale, improve code quality, reduce technical debt, and drive architectural decisions using advanced AI/LLM technologies.

As a Senior Machine Learning Engineer, you will build and operate scalable ML systems, oversee projects from inception to deployment, and improve system performance while collaborating with cross-functional teams and mentoring junior engineers.

As a Senior Machine Learning Engineer, you will design and operate scalable ML systems for real-time personalization, collaborating with teams and mentoring engineers.