Attentive

Sales

• Lead, coach, and develop a team of Mid-Market Account Executives responsible for net-new revenue generation
• Build a high-performance culture centered on outbound prospecting, pipeline creation, accountability, and consistent execution
• Coach AEs on discovery, business pain, challenging the status quo, stakeholder multi-threading, and measurable customer outcomes
• Partner with AEs on account planning, competitive positioning, business cases, objection handling, negotiation, and closing
• Establish expectations for self-generated pipeline and account-specific outbound strategies
• Own team forecasting, pipeline inspection, performance management, and revenue-target attainment
• Analyze conversion, pipeline coverage, sales cycles, win rates, and rep performance to drive action
• Hire, onboard, and develop high-performing AEs
• Partner with SDR, Marketing, Enablement, Revenue Operations, Solutions Consulting, and Customer Success
• Provide customer and field insights to Product and Marketing
• Evolve the Mid-Market sales playbook as the product portfolio and market opportunity expand

Explore Director, Mid-Market Sales at Attentive. Review requirements and application details.

Director, Mid-Market Sales

Machine Learning Engineer

• Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, and personalization systems
• Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration
• Safeguard model and system quality through testing, monitoring, validation, and alerting
• Collaborate with product, data, and engineering partners to translate business problems into ML solutions
• Improve system reliability, performance, and engineering efficiency
• Contribute to technical direction and best practices across the ML engineering team
• Mentor and support engineers through code reviews, design discussions, and knowledge sharing
• Build, scale, and operate production-grade ML systems driving real-time personalization across the Attentive platform

Explore Senior Machine Learning Engineer at Attentive. Review requirements and application details.

Senior Machine Learning Engineer

• Build, scale, and operate production-grade machine learning systems
• Drive real-time personalization across the Attentive platform
• Partner closely with Product and Engineering
• Raise the technical bar across machine learning systems
• Build systems maintaining a high quality standard
• Protect against regressions through testing techniques
• Improve project quality through direct contributions and long-term advocacy for larger-scale changes
• Lead cross-functional machine learning projects across teams

Explore Staff Software Engineer, Machine Learning at Attentive. Review requirements and application details.

Staff Software Engineer, Machine Learning

Full-stack Engineer

• Define and own the technical architecture for Attentive's Onsite Growth platform
• Set direction for services, APIs, and shared infrastructure used by multiple teams
• Lead cross-functional technical strategy with product, design, ML, and data science teams
• Drive complex, ambiguous problems from alignment to production
• Identify and address reliability gaps, scalability ceilings, and architectural debt
• Build scalable backend services, APIs, and user-facing product capabilities
• Improve system observability, resiliency, and performance
• Mentor and develop engineers through technical feedback and growth sponsorship
• Contribute to engineering culture through technical leadership and customer focus

Explore Staff Software Engineer, Onsite Customer Growth at Attentive. Review requirements and application details.

Staff Software Engineer, Onsite Customer Growth

• Build, scale, and operate production-grade machine learning systems
• Drive real-time personalization across the Attentive platform
• Partner closely with Product and Engineering
• Raise the technical bar across machine learning systems
• Build scalable systems and data-driven products using machine learning and data analysis
• Develop and validate models and implement modern research
• Lead cross-functional machine learning projects across teams
• Improve project quality through direct contributions and advocacy for larger-scale changes
• Work with infrastructure running in Kubernetes hosted in AWS EKS
• Use infrastructure tooling including Istio, Datadog, Terraform, CloudFlare, and Helm
• Work with Java/Spring Boot microservices and AWS data technologies
• Work with React, TypeScript, GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
• Build automation using Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas

• Build, scale, and operate production-grade machine learning systems
• Drive real-time personalization across the Attentive platform
• Partner closely with Product and Engineering
• Raise the technical bar across machine learning systems
• Build systems that maintain a high bar of quality
• Protect against regressions through varied testing techniques
• Improve project quality through direct contributions and long-term advocacy for larger-scale changes
• Lead cross-functional machine learning projects across teams

Explore Principal Software Engineer, Machine Learning at Attentive. Review requirements and application details.

Principal Software Engineer, Machine Learning

• Design, build, and operate scalable machine learning systems for real-time targeting, decisioning, and personalization
• Own ML projects end-to-end, from data exploration and modeling through deployment, monitoring, and iteration
• Safeguard model and system quality through testing, monitoring, validation, and alerting
• Collaborate with product, data, and engineering partners to translate business problems into ML solutions
• Improve system reliability, performance, and engineering efficiency
• Contribute to technical direction and best practices across the ML engineering team
• Mentor and support engineers through code reviews, design discussions, and knowledge sharing
• Build production-grade ML systems powering personalized experiences on Attentive’s AI marketing platform

Customer Support

• Lead the Support management team across the US, UK, and Australia
• Define the support operating model, including tier design, regional coverage, offshore versus stateside work, and peak-period operations
• Manage offshore and partner capacity and maintain quality and SLO parity
• Own the headcount model, BPO spend, tooling spend, cost model, and capacity planning
• Set the KPI, SLO, QA, and performance standards framework
• Design and launch a premium/enterprise support offering with tier-based SLAs
• Establish Support Engineering as a discipline and define its leadership model, technical bar, career path, and relationship with Engineering
• Serve as senior escalation point for customers, CS leadership, and executives
• Own the CS incident-management program at the program level
• Partner with Product, Engineering, CS, Services, Enablement, and Product Marketing on supportability, scope, handoffs, self-serve, and launch readiness

Explore Director, Customer Support at Attentive. Review requirements and application details.

Director, Customer Support

Software Engineer

• Build engineering systems for an autonomous marketing agent
• Develop systems involving agentic planning, real-time behavioral signals, platform capabilities, experimentation, and reliable execution at massive scale
• Turn sophisticated AI systems into dependable products making and acting on millions of marketing decisions
• Extend marketing intelligence through APIs and MCP across external email providers, advertising platforms, websites, and custom agents
• Help evolve Attentive from a messaging platform into one coordinating and continuously improving broader brand marketing programs
• Hire and lead an A+ engineering team
• Set technical direction and influence architecture, roadmap, and product engineering
• Partner with ML and data science teams
• Track industry developments and make informed technology decisions
• Write code and provide direct feedback while building accountability

Explore Director of Engineering – Marketing Agent Platform at Attentive. Review requirements and application details.

Director of Engineering – Marketing Agent Platform

Director

• Lead annual incentive planning across Sales, Account Management, Customer Success, and other eligible go-to-market roles
• Define performance measures, pay mix, payout curves, accelerators, and plan rules with business leaders
• Track, report, and collaborate with Accounting to accrue non-GTM bonus plans, including executive bonuses
• Evaluate how pricing, contract terms, customer commitments, usage, and deal margin affect payouts
• Build and test compensation models and explain attainment, plan structure, employee earnings, and company-cost tradeoffs
• Own commission operations, including calculation, validation, reconciliation, approvals, and delivery to Payroll
• Maintain plan documentation and policies for crediting, ramp periods, guarantees, role changes, adjustments, and exceptions
• Assess plan performance using attainment, payout distribution, commission costs, and behavioral outcomes
• Improve compensation systems and data with Revenue Operations and business systems partners
• Lead and develop the compensation team
• Partner with FP&A and Accounting on commission forecasts, accruals, reconciliations, and variance explanations
• Prepare analysis for senior leadership and communicate plans to managers and employees

Explore Director, Incentive Compensation at Attentive. Review requirements and application details.

Director, Incentive Compensation

• Build, scale, and operate production-grade machine learning systems
• Drive real-time personalization across the Attentive platform
• Partner closely with Product and Engineering
• Operate with a high degree of ownership
• Raise the technical bar across machine learning systems
• Build high-quality systems and proactively protect against regressions through testing
• Improve project quality through direct contributions and long-term advocacy for larger-scale changes
• Lead cross-functional machine learning projects across teams
• Develop and implement models and scalable data-driven products
• Work with large-scale data analysis, model development, model validation, and model implementation
• Work with infrastructure and technology including Kubernetes, AWS EKS, Istio, Datadog, Terraform, CloudFlare, Helm, Java, Spring Boot, DynamoDB, Kinesis, Airflow, Postgres, PlanetScale, Redis, React, TypeScript, GraphQL, Storybook, Radix UI, Vite, esbuild, Playwright, Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas

Developer Relations

• Build and lead the AI Developer Experience and AI Business Enablement teams
• Establish AI workflows across planning, implementation, testing, review, and delivery
• Provide coding agents with documentation, architectural guidance, and system context
• Build reliable testing, test data, and integration environments
• Improve cloud environments, builds, CI, and code review infrastructure
• Create supported tools and automations for non-technical business teams
• Partner with Security and IT on integrations, permissioned data access, and credential security
• Establish standards for testing, deployment, monitoring, ownership, and maintenance
• Set strategy across both teams and lead two managers
• Evaluate tools, prototype workflows, and decide what to build or buy
• Drive adoption through products, defaults, and partnerships with Engineering, Security, IT, and business leaders
• Measure delivery cycles, software reliability, time saved, and sustained tool usage
• Adapt capabilities as AI models and tools evolve

Explore Director, AI Developer Experience at Attentive. Review requirements and application details.

Director, AI Developer Experience

Product Manager

• Define the product thesis, strategy, and north-star outcomes for Attentive's autonomous Marketing Agent
• Work with customers and internal experts to identify automation opportunities and trust requirements
• Translate ambiguous opportunities into customer problems, product principles, roadmap, sequencing, and investment choices
• Own the end-to-end agent experience and operating loop, including planning, action, measurement, learning, and improvement
• Partner with engineering and AI/ML teams on model strategy, data and feedback loops, tool use, retrieval, orchestration, evaluation, reliability, latency, cost, and platform foundations
• Establish metrics, experiments, and failure analysis to evaluate agent performance and customer outcomes
• Lead across functions, clarify ownership, resolve disagreements, surface risks, and build alignment
• Co-own the product revenue number and partner closely with the CEO

Explore Senior Director, Product Management – AI/ML at Attentive. Review requirements and application details.

Senior Director, Product Management – AI/ML

Data Scientist

• Lead, mentor, and grow a team of Applied Scientists / Data Scientists
• Define and execute the applied data science roadmap with Product, Engineering, and executive stakeholders
• Drive statistical models, machine learning solutions, experimentation frameworks, and causal inference methodologies
• Establish best practices for experimentation, measurement, forecasting, and decision-making
• Translate ambiguous business problems into scalable analytical and machine learning solutions
• Identify product and business opportunities through analysis of customer behavior, experimentation, and business performance
• Partner with engineering teams to operationalize models and deploy production-ready solutions
• Present insights and recommendations to senior leadership and executive stakeholders
• Build a culture of scientific rigor, operational excellence, and continuous innovation

Explore Head of Applied Science / Data Science at Attentive. Review requirements and application details.

Head of Applied Science / Data Science

Business Analyst

• Analyze workforce composition, employee performance, compensation, and engagement data to make recommendations to the People Leadership Team and execute on those recommendations
• Own day-to-day administration of the HR analytics tool, including dashboard configuration, data hygiene, and user authorizations
• Execute cross-functional processes such as headcount planning, goal setting, and business metric tracking
• Refine data methodologies to ensure clear, compelling stories using the right metrics
• Partner with Total Rewards, Recruiting, Talent Development, and other People Team functions on ad hoc data analysis projects
• Help lead the evolution of AI-enabled ways of working for the People team by building automated solutions
• Identify gaps in analyses-supported processes and develop scalable solutions
• Coordinate with multiple stakeholders to ensure timely project execution

Explore People Insights Analyst at Attentive. Review requirements and application details.

Open roles

Director, Mid-Market Sales

Senior Machine Learning Engineer

Staff Software Engineer, Machine Learning

Staff Software Engineer, Onsite Customer Growth

Staff Software Engineer, Machine Learning

Principal Software Engineer, Machine Learning

Senior Machine Learning Engineer

Director, Customer Support

Director of Engineering – Marketing Agent Platform

Director, Incentive Compensation

Principal Software Engineer, Machine Learning

Director, AI Developer Experience

Senior Director, Product Management – AI/ML

Head of Applied Science / Data Science

People Insights Analyst