Jobs at Attentive

Lead incentive compensation strategy and administration across go-to-market teams. Design plans, payout models, accelerators, and policies; oversee commission calculations, reconciliations, forecasting, accruals, and payroll delivery. Analyze plan effectiveness, costs, margins, and attainment, partnering with Finance, Accounting, Legal, People, Payroll, and Revenue Operations. Improve compensation systems and data quality, communicate complex plans clearly, and manage and develop the compensation team.

Leads AI Developer Experience and AI Business Enablement teams. Owns AI-assisted development workflows, agent context, testing infrastructure, cloud environments, CI, code review, and secure tools for nontechnical builders. Sets strategy, manages managers, hires teams, evaluates build-versus-buy decisions, drives adoption, and measures improvements in delivery speed, software reliability, time savings, and sustained tool usage.

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.

Drive expansion, upsell, renewal, and retention opportunities across strategic customer accounts. Build executive relationships, identify growth opportunities, manage pricing negotiations, forecast pipeline, present usage and engagement data, and close commercial deals. Partner with Customer Success, Legal, Finance, and Deal Enablement teams while managing customer commercial inquiries. The role focuses on Fortune 100 retail and e-commerce accounts and requires strategic account development, quota attainment, objection handling, and up to 25% travel.

Lead Attentive’s cloud platform organization, overseeing AWS infrastructure, Snowflake and centralized data platforms, database infrastructure, DevOps, and cloud cost optimization. Set technical strategy, improve reliability and operational standards, lead migrations, build self-service developer workflows, and develop engineering managers and technical leaders. Partner across Engineering, Product, Finance, and Developer Experience to improve infrastructure efficiency, scalability, security, and delivery speed.

Leads and scales a team of Mid-Market Account Executives responsible for new-business revenue. Oversees coaching, outbound pipeline generation, deal strategy, forecasting, performance management, hiring, and seller development. Partners with cross-functional teams to improve go-to-market execution, positioning, and sales processes. The role also uses data and AI-enabled workflows to improve sales efficiency and revenue performance in a high-growth SaaS environment.

Lead the technical direction of Attentive’s compute and networking platform. Build reusable AWS infrastructure, Kubernetes systems, APIs, and self-service tools while improving reliability, scalability, cost efficiency, security, and developer productivity. Own complex cross-team initiatives from design through production, diagnose sophisticated infrastructure issues, improve CI/CD and observability, mentor engineers, and establish effective AI-assisted development practices.

Lead strategy and execution for Attentive’s autonomous AI marketing agent. Define its product thesis, roadmap, customer value, evaluation framework, and operating loop while partnering with engineering, AI/ML, data science, design, GTM, executives, and customers. Own product outcomes and co-own revenue, ensuring the system is reliable, measurable, trustworthy, and scalable for enterprise brands.

Build, scale, and operate production-grade machine learning systems supporting real-time personalization. The role involves developing scalable data analysis and model-development processes, validating and implementing models, protecting system quality through testing, collaborating cross-functionally, and leading machine learning initiatives. The engineer will work extensively with Python, modern ML frameworks, large-scale data systems, and AWS-based infrastructure while providing technical leadership.

Lead strategy and success planning for strategic SaaS accounts, aligning customer goals, performance, adoption, retention, and growth. Advise clients on lifecycle marketing across SMS, email, and AI-powered channels; coordinate account, services, product, and technical teams; lead business reviews; translate insights into recommendations; manage forecasts, renewals, risks, and expansion opportunities; and build executive-level relationships.

Build, scale, and operate production-grade machine learning systems powering real-time personalization. Lead cross-functional ML initiatives, develop and validate models, create scalable data-analysis processes, prevent regressions through testing, and improve system quality. Partner with Product and Engineering while providing technical leadership in a fast-paced startup environment.

Build, scale, and operate production-grade machine learning systems powering real-time personalization. Develop and validate models, scalable data-analysis processes, and automated ML workflows using modern frameworks and large-scale data. Lead cross-functional ML initiatives, improve system quality, prevent regressions through testing, and collaborate with Product and Engineering to deliver data-driven products.

Lead Attentive’s global B2B SaaS Support organization across the US, UK, and Australia. Own the management team, operating model, budget, capacity planning, quality standards, SLOs, partner operations, premium support offering, Support Engineering discipline, and senior escalations. Drive scalable use of AI, automation, offshore capacity, and cross-functional collaboration with Product, Engineering, Customer Success, Services, Sales, and Enablement.

Leads editorial, public relations, strategic communications, executive visibility, thought leadership, media relations, and cross-channel content activation. Develops communications plans for launches and milestones, manages PR agencies and measurement, oversees crisis communications, shapes corporate positioning, and supports employer brand and internal communications. The role partners cross-functionally with product, marketing, analytics, executives, customers, and external media to strengthen brand reputation and engagement.

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.

The Sales Development Representative will research potential customers, send outreach, and book meetings for Account Executives, focusing on building relationships and facilitating sales.

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.