Jobs at Automation Anywhere

Drive new enterprise business for Automation Anywhere’s Agentic Process Automation platform. Responsibilities include prospecting, managing sales pipelines, conducting customer presentations and demonstrations, attending industry events, leading proof-of-concept exercises and RFX responses, and coordinating solution design with technical teams. The role requires consultative enterprise software selling, quota attainment, technical communication, and collaboration with sales engineers, partners, and professional services.

Sell enterprise Intelligent Automation solutions across California by driving new business, leading customer meetings and demos, executing POCs and RFX responses, coordinating solution design with technical teams, and managing sales pipelines to meet enterprise quotas.

Own the full enterprise sales cycle for Automation Anywhere’s AI Service Management solution. Responsibilities include qualifying opportunities, building 4x pipeline, researching strategic accounts, engaging C-suite stakeholders, presenting AI solutions, negotiating and closing deals of $250,000 or more, expanding existing accounts, maintaining CRM hygiene, and forecasting accurately using MEDDPIC methodology.

Build and deploy production machine learning systems for AIOps and IT operations. Develop novel AI/ML approaches, improve model reliability and accuracy, and work with large-scale operational and text data. Apply statistical modeling, anomaly detection, forecasting, clustering, NLP, causal inference, and root cause analysis. Collaborate with product and engineering teams, guide model and system design decisions, communicate findings, and mentor engineers while supporting production ML services.

Leads enterprise data engineering, analytics, architecture, and AI solution delivery. Oversees teams, EDW and data lake architecture, Informatica pipelines, BigQuery data models, Tableau reporting, governance, security, quality, operational reliability, roadmaps, budgets, and stakeholder partnerships. Requires strong technical leadership, business translation, and hands-on expertise across data integration, warehousing, analytics, and governed AI solutions.

Leads a global team of technical support engineers in a 24x7 enterprise support environment. The role oversees SLA and CSAT performance, issue resolution, escalations, hiring, onboarding, and performance management. It partners with Engineering, Product Management, and Customer Success to improve product supportability and customer satisfaction. Responsibilities also include analyzing support metrics, maintaining knowledge resources, and driving automation, tooling, and process improvements.

Lead BFSI-focused pre-sales and solution architecture for agentic AI and intelligent automation. Drive industry-specific sales motions, own ROI/business cases, design executive workshops, shape high-level APA architectures, scope POCs, enable SE teams, and build vertical playbooks and thought leadership across EMEA.

Leads AI-driven quality engineering across web, desktop, mobile, API, integration, performance, and regression testing. Builds and maintains automation frameworks, applies AI-assisted test generation and self-healing techniques, analyzes defects and logs, supports CI/CD stability, and validates conversational AI workflows. Collaborates across engineering and product teams, defines risk-based coverage, investigates customer issues, and promotes testing innovation, documentation, and continuous quality improvement.

The Sr. Product Marketing Manager will lead go-to-market strategies for AI-driven automation solutions, develop messaging, and enable sales teams to drive revenue.

Lead and scale a global Partner Enablement team as a player-coach: hire and coach managers, define global enablement strategy, stay hands-on in strategic partner engagements, build repeatable playbooks, partner cross-functionally, and own KPIs like partner-led pipeline and time-to-value.

Design and ship intuitive, accessible software experiences for web and mobile users. Responsibilities include framing problems, creating user journeys, storyboards, wireframes, mockups, interaction specifications, and prototypes; conducting UX research; collaborating with Product, Engineering, and Design teams; influencing stakeholders; contributing to UX strategy; and advocating for cohesive, inclusive, polished product experiences.

Leads analyst relations strategy for AI and enterprise automation, managing Gartner, Forrester, and IDC evaluations; develops market narratives, executive briefings, and competitive intelligence; influences product strategy and positioning; coordinates Product, Marketing, Sales, Customer Success, PR, and executive stakeholders; equips field teams with analyst insights and collateral; and uses AI-driven workflows to improve program efficiency.

Leads the BFSI enterprise sales organization across the United States, developing sales strategies, achieving bookings targets, recruiting and mentoring account executives, managing forecasts, and building executive relationships with customers and partners. The role requires selling enterprise automation solutions, collaborating with systems integrators and hyperscalers, and coordinating with sales engineering, marketing, product, and operations teams. Travel of up to 50% is required.

Owns enterprise sales opportunities from prospecting through close, including pipeline development, executive relationship building, discovery, solution development, pricing, negotiation, forecasting, and partner coordination. The role targets new logos and growth within enterprise accounts, requiring solution-selling expertise, SaaS experience, strategic customer engagement, and the ability to present automation value propositions to C-level stakeholders.

Drive new enterprise business for an AI-powered intelligent automation platform. Own full sales cycle, manage pipelines, deliver demos and POCs, lead RFX responses, coordinate solution design with technical teams, attend events, and achieve expansion and new-business bookings.

Drive new enterprise business for Automation Anywhere’s Agentic Process Automation platform. Responsibilities include prospecting, pipeline and account strategy, customer presentations and demonstrations, event-based lead generation, technical solution discussions, proof-of-concept execution, RFX responses, and coordination with engineering and services teams. The role requires exceeding sales quotas, managing complex full-cycle software sales, advising prospective customers, and traveling 25% to 50%.

Build and deploy production-grade Generative AI and Retrieval-Augmented Generation (RAG) pipelines. Write clean Python backend code (FastAPI/LangChain), manage and tune vector databases, integrate enterprise LLMs via secure APIs, deploy and scale on cloud (AWS/GCP/Azure) using containers/serverless, and monitor LLM usage, latency, and retrieval accuracy in production.

Owns strategic enterprise customer accounts across EMEA, driving adoption, value realization, retention, renewals, expansion revenue, and net revenue retention. Builds executive relationships, leads QBRs and EBRs, develops customer success plans, manages risks, coordinates issue resolution, and provides customer insights. The role also develops reference accounts, supports advocacy initiatives, and collaborates cross-functionally to increase platform utilization and customer satisfaction.

Leads technical evaluations and value-based selling for enterprise Agentic Process Automation solutions. The role engages executives and technical stakeholders, delivers tailored demonstrations and integrations, leads workshops, builds strategic customer relationships, supports competitive positioning, and serves as a subject matter expert on automation, AI, cloud, RPA, LLMs, RAG, OCR, and enterprise integrations. The position is remote in Central or Eastern time zones and requires travel up to 50%.

Leads enterprise new-business sales across the UK and Northern Europe, managing approximately five account executives. Responsibilities include recruiting and coaching talent, engaging CXO prospects, developing partner channels, building pipeline, forecasting, driving sales strategy, and collaborating with sales engineering, marketing, operations, and product teams. The role requires significant enterprise software sales leadership experience, expertise in automation or GenAI, and willingness to travel up to 50%.