Full-Time
Sales Engineer
Automation Anywhere
1,001-5,000 employees
AI-powered process automation and orchestration platform
Compensation Overview
$165k - $180k/yr
No H1B Sponsorship
Remote in USA
Remote
Must be based in US Central Time Zone or Bay Area, California; remote.
Bachelor's, Master's, PhD
 Sales & Solution Engineering (1) |
|---|
Get referred to Automation Anywhere
See people who can refer or advise you
- Bachelor’s degree in Computer Science Engineering, or a related field.
- 4+ years of overall professional experience, with 3+ years of relevant experience in sales/pre-sales roles within Intelligent Automation, Cloud, Generative AI, and/or related fields
- Proven experience in SaaS-based solutions, with a strong focus on value-driven selling in enterprise environments
- Experience selling into specific industries (e.g., Supply Chain/Manufacturing, BFSI, Retail) with deep industry knowledge to tailor solutions
- Proficiency in enterprise-grade application ecosystems (e.g., SAP, Salesforce, Oracle, ServiceNow, Workday) and their integration within automation strategies
- Familiarity with Hyperscalers (e.g., AWS, Azure, GCP) and their advanced solution offerings, including Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and GPT-based technologies
- Deep understanding of technology trends, emerging standards, and enterprise IT infrastructures
- Ability to travel up to 50% on short notice to meet client and business needs
- Driving Value-Based Selling: Actively leading and managing the technology evaluation stage of the sales process, working closely with the sales team to position solutions based on business outcomes rather than feature functionality, focusing on maximizing deal size and customer impact
- Engaging C-Suite and Technical Stakeholders: Implementing value-selling best practices to effectively communicate and influence both executive-level and deeply technical stakeholders, aligning their strategic goals with proposed solutions
- Showcasing Tailored Solutions: Demonstrating and co-developing tailored integrations that address clients' unique challenges, highlighting the potential ROI and strategic benefits
- Leading Strategic Evangelization: Spearheading client workshops, promoting best practices, and establishing thought leadership through participation in marketing and industry events, reinforcing the company's market position
- Architecting Growth Infrastructure: Designing and implementing robust internal and external frameworks that enable the sales organization, clients, and partners to expand into new markets and segments, driving growth and scalability
- Building Strategic Relationships: Establishing and nurturing long-term, high-value customer relationships across the sales cycle, acting as a trusted advisor to drive mutual success
- Enhancing Team Expertise: Acting as a subject matter expert, contributing to a culture of continuous learning and innovation by sharing insights and best practices on emerging technologies such as Agentic Automation, Large Language Models (LLMs), Retrieval-Augmented Generation (RAGs), Optical Character Recognition (OCR), Robotic Process Automation (RPA), and API integrations. Collaborate with cross-functional teams to drive strategic conversations and deliver cutting-edge solutions to clients, ensuring the broader team stays aligned with industry trends and technological advancements
- Positioning for Competitive Advantage: Providing strategic technical advocacy to ensure solutions are optimally positioned against competition, focusing on delivering clear, differentiated business value
- Hands-on expertise in automation platforms (e.g., Automation Anywhere, UiPath, Blue Prism) including developing and deploying production bots
- Certifications in leading automation platforms (e.g., Automation Anywhere, UiPath) and cloud technologies are a plus
- Advanced degrees are a plus
Automation Anywhere provides an AI-powered platform for automating business processes. Its offerings combine robotic process automation (RPA), specialized AI and generative AI, process discovery, end-to-end process orchestration, document processing, and analytics, all available via subscription as the Automation Success Platform. The platform helps organizations map, automate, and optimize workflows across departments, using a mix of bots, AI-enabled insights, and governance features to handle sensitive data securely. Its approach differentiates itself by delivering an integrated, enterprise-wide automation stack that covers discovery, automation, analytics, and governance in one platform, rather than a collection of separate tools. The company's goal is to boost productivity, enable innovation, improve customer service, and accelerate business growth for clients by streamlining operations at scale.
Company Size
1,001-5,000
Company Stage
Debt Financing
Total Funding
$1B
Headquarters
San Jose, California
Founded
2003
Get referred to Automation Anywhere
See people who can refer or advise you
Simplify's Take
What believers are saying
- July 2, 2026 results showed double-digit ARR, revenue, and cRPO growth.
- Enterprises above $1 million ARR grew 25% year over year, widening enterprise depth.
- Imagine 2026 reported over one billion autonomous IT requests, validating real usage.
What critics are saying
- EnterpriseClaw stays preview until late 2026, delaying revenue conversion and customer proof.
- Legacy bot maintenance remains fragile; UI changes still break selectors across large deployments.
- A stronger existential threat is agent-first platforms replacing bot-plus-agent architectures entirely.
What makes Automation Anywhere unique
- Automation Anywhere's 22-year RPA base still reaches SAP, Oracle, and mainframes.
- EnterpriseClaw with Cisco, NVIDIA, Okta, and OpenAI targets governed enterprise agents.
- Autonomous IT and Finance bundle prebuilt workflows, controls, and analytics for departments.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Flexible Work Hours
Remote Work Options
Unlimited Paid Time Off
Paid Holidays
Parental Leave
Health Insurance
Company Equity
Growth & Insights and Company News
6 month growth
↑ 13%1 year growth
↑ 10%2 year growth
↑ 8%Education that keeps pace with industry: ASM Group of Institutes marks a milestone year with national recognition and a growing Technical Campus. 0 4 minutes read Across management, commerce, IT and engineering education, ASM Group of Institutes' campuses continue to attract students through industry-linked programs, global exposure and consistent placement outcomes - a year that also saw the Group named Pune's Best Management Institute and the completion of its new AI-powered technical campus's first full year. Pune, (Maharashtra) [India]: Every admission season brings the same question to a student's mind: which institute will actually prepare them for the working world, and not just hand them a degree? For thousands of students in and around Pune, that answer has increasingly pointed to ASM Group of Institutes, a Pimpri-Chinchwad-based education group that has spent over four decades building campuses around a simple idea: classrooms should mirror the industries students are headed into. That approach was recently validated at a national level: ASM was named "Pune's Best Management Institute" at the Navbharat Education Excellence Awards 2025, recognition for institutions delivering future-ready education aligned with real industry needs - a fitting marker as the Group enters its 43rd year. Established in 1983 under the aegis of the Audyogik Shikshan Mandal, ASM Group of Institutes has grown from a single management institute into a diversified education group with 12+ institutes across campuses in Pune, spanning study levels from kindergarten through doctoral research. The group is affiliated with Savitribai Phule Pune University and holds AICTE approval, with several of its programs also carrying NAAC accreditation. Over four decades, ASM has built a track record that includes several recognitions as a top-ranked B-school in Pune, an alumni base of over 75,000 professionals across 60+ countries, working across MNCs, Indian enterprises and startups, and placement partnerships with 350+ recruiters spanning IT, financial services, consulting, manufacturing, BFSI, analytics, FMCG, healthcare and emerging digital domains. At the heart of the Group is ASM's Institute of Business Management and Research (IBMR), the flagship institute from which ASM's journey began in 1983. IBMR offers AICTE-approved PGDM programs and has been among the first institutes nationally to introduce Artificial Intelligence as a second PGDM specialization, giving students the option to pair core management disciplines with AI-driven decision-making, analytics, automation and digital intelligence - a marker of ASM's early and sustained embrace of AI in management education, since extended across the Group's other institutes as well. ASM's Institute of International Business and Research (IIBR) concentrates on AICTE-approved PGDM programs across marketing, finance, human resources, pharma management and real estate marketing, with curriculum that draws on AI-linked coursework and industry certifications to give management aspirants a head start before they graduate. The institute offers paid internships, industry certifications,a focus on global business education, applied research and industry-aligned postgraduate programs. ASM's Institute of Commerce, Science and Information Technology (CSIT), affiliated to Savitribai Phule Pune University, is among top colleges in PCMC, and is built for students choosing commerce, science and technology streams, offering programs from BBA and B.Com to B.Sc. degrees in AI & ML, cyber security and data science, giving undergraduates a foundation that can pivot in several technical or business directions later. ASM's Institute of Professional Studies (IPS), a dedicated MBA campus offering a full-time, two-year program affiliated to Savitribai Phule Pune University and approved by AICTE, where faculty drawn from both industry and academia, paired with an alumni network spread across more than a thousand global careers, anchor its reputation among Pune's management colleges. The Group's newest addition, ASM's NextGen Technical Campus in Talegaon, Pune, spread across a 15-acre, AI-powered campus is affiliated to Savitribai Phule Pune University and approved by AICTE, offers B.E. programs in Artificial Intelligence & Machine Learning, Computer Science & Engineering, Information Technology, and Electronics & Computer Engineering, alongside BCA and MCA programs - built around smart classrooms, advanced labs and a digital-first learning environment designed for Industry 4.0. More details are available at asmnext.edu.in. What ties the campuses together is a shared emphasis on placement support, live industry projects, international academic tie-ups and, more recently, AI-integrated learning modules rolled out across programs. ASM has partnered with globally respected organisations including Nasscom, Harvard Business Publishing, Microsoft, AWS Educate, Automation Anywhere, SAP& more, partnerships that actively shape curriculum design, certifications and experiential learning rather than serving as brochure logos. The group counts alumni in leadership roles across sectors including manufacturing, IT, finance, banking, agritech, and healthcare, and continues to work with top recruiters and academic partners in India and abroad, including recently signed MoUs with South Asian universities for student exchange and joint research. Speaking on the group's continued appeal among students, Dr Sandeep Pachpande, Chairman, ASM Group of Institutes, said: "Every institute we have built exists for a reason. A student headed into management, one building a career in commerce and technology, and one training to be an engineer all need a different kind of preparation - that's why we've never tried to fit everyone into one classroom. Education has to evolve at the pace of the world outside the campus, and staying close to that pace is what keeps us building institute by institute, rather than settling for one size that fits none. Forty-three years on, no ranking means as much to me as hearing an alumnus say they walked into their first job already ready for it." For students still shortlisting colleges this admission cycle, ASM Group of Institutes is positioning its campuses around a straightforward pitch: pick a track - management, commerce and technology, engineering, or a dedicated MBA - and get an education designed specifically for it, backed by a group that has been refining this model across Maharashtra since 1983. Looking further ahead, the Group has also begun laying the groundwork for ASM NextGen University, envisioned as a multidisciplinary university bringing management, technology, research, innovation and entrepreneurship together under one future-ready academic ecosystem. "Our vision is long-term," says Dr Pachpande. "ASM NextGen University will be built on the same values that have guided us for decades - quality, relevance and responsibility - but reimagined for the future." About ASM Group of Institutes ASM Group of Institutes is a Pune-based education group established in 1983, comprising specialised institutes including ASM's Institute of Business Management and Research (IBMR), ASM's Institute of International Business and Research (IIBR), ASM's Institute of Commerce, Science and Information Technology (CSIT), ASM's Institute of Professional Studies (IPS), and ASM's NextGen Technical Campus, Talegaon. The group offers AICTE-approved and Savitribai Phule Pune University-affiliated programs across management, commerce, science, information technology and engineering, with an alumni network of over 75,000 professionals globally and placement partnerships with 350+ recruiters. For more details, please refer to the Group's website:
Redington teams with AutomationEdge to accelerate enterprise automation and agentic AI SaaS. SaasRise - Jul 22, 2026 Redington, a technology aggregator, and AutomationEdge, an agentic process-automation platform, announced a strategic partnership that makes AutomationEdge's AI agents available on Redington's AI Exchange Marketplace. The deal aims to speed enterprise adoption of automation and AI-driven workflows across banking, insurance, IT, and finance functions. Why it matters. The Redington-AutomationEdge alliance underscores the growing importance of channel-enabled distribution for enterprise SaaS, especially in high-complexity domains like process automation and AI agents. By leveraging a marketplace model, vendors can reduce friction, accelerate time-to-value, and open new revenue streams for partners, reshaping the traditional direct-sales paradigm. For investors and operators, the deal signals that scaling AI-native SaaS solutions may increasingly depend on ecosystem partnerships rather than pure product-led growth. Companies that can embed their technology within established distribution channels are likely to capture a larger share of the enterprise automation spend projected to exceed $30 billion by 2028. Key points. * Redington's AI Exchange Marketplace now lists AutomationEdge's AI agents and automation workflows. * Partnership targets banking, insurance, IT/HR, customer service, and finance functions. * Joint GTM includes co-branded workshops, partner enablement, and PoC engagements. * Redington's network spans over 5,000 resellers and system integrators across APAC. * Both firms cite 10x automation capabilities and outcome-driven transformation as core benefits. Analysis. The Redington-AutomationEdge tie-up illustrates a strategic shift in SaaS distribution: moving from pure product-led growth to a hybrid model that blends marketplace accessibility with deep channel expertise. Historically, enterprise automation vendors have struggled with long sales cycles and complex integration requirements. By surfacing ready-to-deploy AI agents in a marketplace, the partnership reduces friction and creates a self-service layer that can accelerate adoption, especially among mid-market firms that lack extensive internal AI talent. From a competitive standpoint, the alliance positions AutomationEdge against rivals like UiPath and Automation Anywhere, which have traditionally relied on direct sales and large consulting partners. Redington's extensive reseller base offers a broader, more localized reach, potentially eroding the market share of incumbents that have slower channel roll-outs. The partnership also aligns with the broader industry trend of "AI-as-a-service" where vendors package AI capabilities as modular, consumable assets rather than bespoke projects. Looking ahead, the success of this model will hinge on measurable outcomes: reduction in deployment time, increase in net-new ARR, and partner-generated expansion revenue. If Redington can demonstrate a clear ROI for its ecosystem, other technology aggregators may replicate the approach, accelerating the commoditization of enterprise AI automation. For SaaS founders, the lesson is clear - building a robust partner ecosystem and leveraging marketplace dynamics can be as critical as product innovation in capturing enterprise spend.
Automation Anywhere reported strong first-quarter fiscal year 2027 results, with double-digit growth across annual recurring revenue, revenue and current remaining performance obligations. The AI-powered automation company also maintained non-GAAP profitability and positive cash flow. The company signed its largest outcome-based transaction to date, whilst enterprises with over $1 million in ARR grew 25% year-over-year. Notable deployments included Oasis Investment, which centralised finance workflows across 52 companies, and a consulting firm that achieved 80% auto-resolution rates for IT service requests, projecting nearly $2 million in cost savings. At its Imagine 2026 conference in Dallas, Automation Anywhere announced its Autonomous Service Desk solution has fulfilled over one billion IT service requests. The company also introduced EnterpriseClaw, developed with Cisco, NVIDIA, Okta and OpenAI.
Where Automation Anywhere shines. Automation Anywhere shipped its first bot runtime in 2003 and has spent 22 years hardening RPA at enterprise scale. Automation 360 runs unattended bots against SAP and Oracle alongside hundreds of legacy Windows apps that no modern API touches. The Bot Store offers a large library of pre-built automations, and enterprises with entrenched deployments can spread thousands of bots across control rooms without rewriting them. Governance is mature: role-based access and credential vaulting come with audit trails baked in from the pre-AI era. Non-technical users can produce a working bot in an afternoon, and the vendor's Gartner Leader status reflects analyst pedigree. How Automation Anywhere added AI. Automation Anywhere unveiled AI Agent Studio at its Imagine 2024 conference and reached general availability later that year. The Studio is a low-code workspace where developers drop AI agents onto a canvas beside existing TaskBots and MetaBots. A separate module, the Process Reasoning Engine, handles the LLM step and hands work off to the bot runtime for execution. Automation Anywhere's own documentation describes the arrangement as agents that "coexist in tandem with RPA robots." That word, coexist, names the architecture. AI reasoning did not replace the bot; it sits beside the bot as a peer that calls it. Where Automation Anywhere runs out of road. Automation Anywhere buyers name cost as the first limit. G2 and TrustRadius reviewers report Cloud Starter licenses around $750 per user per month, with unattended bots at $500 to $1,000 per bot per month. Enterprise contracts land between $100,000 and $500,000 annually, and AI token charges now sit on top. G2 reviewers also flag a steep learning curve past the recorder and deployment friction in large environments. OCR extraction fails when scraping web UI elements. Bot maintenance stays expensive because every UI change risks breaking selectors. The AI Agent Studio does not remove that fragility; it wraps a reasoning layer around a bot runtime that still fails on schema drift. What "AI-native" means in Lynk. Lynk's runtime treats agent reasoning as the primary execution engine. No bot-that-runs-first with an AI layer beside it. A Lynk agent reads an inbound artifact like an email or a PDF and executes against the goal across the right systems without a pre-built trigger. Connector calls happen because the reasoning selects them at runtime, not because a pre-built rail requires them. When a source schema shifts, the agent reasons through the change instead of failing on a broken selector. For novel document types, no template is required. Reasoning is the runtime; connectors become one affordance among many, rather than the rails everything must follow. The bolt-on tax. Bot-plus-agent architectures pay a coordination tax on the messy work. When an AP exception arrives with a supplier's invoice in a new PDF layout, the bot that extracts fields breaks first, and the AI agent gets summoned to explain why. That handoff is longer than reasoning directly from the raw document. Multi-system decisions carry the same tax. Approving a vendor onboarding packet across procurement and treasury after a security review normally lives across separate bot flows glued by state; a reasoning-first agent traverses the same systems in one loop. The Studio makes the seams pretty, but the seams stay when the input drifts. Where Automation Anywhere still wins. Automation Anywhere is the right pick for organizations whose bot library is already worth more than the reasoning layer. A large financial institution running 4,000 unattended bots against Oracle E-Business Suite and mainframe green screens does not benefit from tearing the runtime apart. Automation Anywhere's Gartner Leader status pairs with 22 years of enterprise references and audit-grade governance that a newer entrant will struggle to match. Buyers with high-volume, schema-stable work and heavy connector dependence, like back-office finance or insurance claims transcription, get more from a mature bot fleet than from a reasoning-first agent. The maintenance overhead is real, but so is the deployment inertia that Automation Anywhere earns you. Decision guide. Automation Anywhere fits when these criteria describe your workload: * Your work runs on legacy Windows apps or mainframe green screens with no API * You already operate a large unattended bot fleet with mature governance * Your processes are schema-stable and the volume justifies a $500K+ annual commitment Lynk fits when these criteria describe your workload: * Your work is reasoning-heavy: reading novel documents, resolving exceptions, or deciding across systems * You want the reasoning engine to be the runtime, not a peer of the bot runtime * You are starting from a clean slate and would rather not maintain thousands of UI selectors Want to see Lynk against your own workflow? Book a build session and Jedi Teck'll prototype it in front of you. Frequently asked questions. How does Automation Anywhere compare to Lynk AI? Automation Anywhere is a mature RPA platform that added AI Agent Studio in 2024. Lynk AI is an agent-first platform where reasoning drives every workflow instead of sitting beside a bot runtime. Buyers with entrenched bot fleets pick Automation Anywhere; buyers whose work is exception handling pick Lynk. When should I pick Automation Anywhere over Lynk? Pick Automation Anywhere when the buyer runs thousands of unattended bots against legacy Windows apps or mainframes and the processes are schema-stable. Lynk fits when work is reasoning-first and the target systems change often. The size of the existing bot investment usually decides. Is AI Agent Studio different from Lynk's agent runtime? Yes. AI Agent Studio is a low-code workspace where AI agents sit beside TaskBots and hand work to them through the Process Reasoning Engine. Lynk's runtime is a reasoning engine that executes directly. Automation Anywhere reasons and delegates; Lynk reasons and acts. What does Automation Anywhere cost compared to Lynk? Automation Anywhere Cloud Starter runs about $750 per user per month, with unattended bots at $500 to $1,000 per bot per month and enterprise contracts of $100,000 to $500,000 annually plus AI token charges. Lynk pricing is outcome-based, scoped per workflow. Who is a better fit for a finance shared services team? A finance shared services team with heavy exception volume and unpredictable supplier invoice formats leans toward Lynk. A team running clean, high-volume postings that stay schema-stable across SAP and Oracle usually gets more from a mature Automation Anywhere fleet. The split is exception density versus throughput.
Automation Anywhere appoints srikanth iyengar as head of EMEA growth to scale ai-powered enterprise automation across the region. Janvier Nshimyumuremyi June 16, 2026 Automation Anywhere EMEA growth: scale AI automation. Across Europe, the Middle East, and Africa, enterprises are under pressure to deliver faster service, tighter compliance, and measurable efficiency - without adding headcount. The strategic push for Automation Anywhere EMEA growth matters because it signals a more focused go-to-market approach for scaling intelligent automation where complexity is highest: regulated industries, multilingual operations, and distributed shared services. Business problem: fragmented operations limit scale. Many organizations in EMEA have modernized customer channels and core systems, yet day-to-day execution still depends on manual handoffs. Finance teams reconcile data across ERPs. Customer support rekeys information between CRM and ticketing. Risk and compliance groups chase audit trails across email threads and spreadsheets. These gaps create three persistent issues: slow cycle times, inconsistent outcomes, and limited visibility into process performance. Leaders trying to drive transformation often hit a predictable barrier: automation initiatives remain siloed. Without governance, reusable components, and business-aligned prioritization, workflow automation turns into a patchwork of scripts rather than a scalable operating model. AI solution: Automation Anywhere EMEA growth enables intelligent automation at scale. Automation Anywhere EMEA growth is closely tied to a broader shift in enterprise automation: moving from task bots to AI-powered automation that is designed, governed, and measured as a business capability. Instead of automating isolated steps, intelligent automation orchestrates end-to-end workflows, combines structured and unstructured data handling, and supports human-in-the-loop decisioning where needed. What "scale" should mean for automation leaders. Scaling is not simply deploying more bots. It is establishing repeatable delivery and measurable outcomes across regions, functions, and regulatory environments. * Standardization: reusable automation components and templates that reduce build time * Governance: role-based controls, auditability, and lifecycle management for risk-sensitive processes * Value engineering: prioritization based on AI-driven ROI, not stakeholder preference * Operational visibility: analytics to track throughput, exception rates, and savings realized Real-World application: high-value use cases for EMEA enterprises. For EMEA-based organizations, the best early wins typically sit where volume is high and variability is manageable. Intelligent automation can be applied to streamline cross-system work, reduce errors, and improve response time while maintaining compliance. Practical automation candidates. * Order-to-cash: automate invoice creation, dispute triage, and remittance matching to improve cash flow * Know-your-customer and onboarding: extract required fields, validate documents, and route exceptions for review * IT service operations: accelerate password resets, access provisioning, and incident enrichment for faster resolution * Procure-to-pay: automate PO matching, vendor master updates, and approvals to reduce leakage In each case, the goal is process optimization that improves speed and consistency while creating a clean audit trail - particularly important in financial services, healthcare, telecom, and public sector environments. Business impact: from cost reduction to competitive resilience. When executed as a scaled program, automation improves operational efficiency in ways that leaders can quantify: reduced rework, fewer compliance exceptions, faster turnaround times, and better employee utilization. Done well, it also increases resilience - teams can absorb demand spikes without compromising customer experience. To maximize results, treat automation as a portfolio. Establish baseline metrics (cycle time, error rate, cost per transaction), then track gains post-deployment. This approach makes benefits defensible to CFOs and audit committees, while enabling continuous improvement. Actionable decision insight: what to do next. If you're building an automation roadmap, use this decision filter: prioritize processes with clear volume, stable rules, and measurable outcomes; then expand into more judgment-heavy workflows as governance matures. Align stakeholders on an operating model early - CoE structure, intake, standards, and value tracking - so automation becomes a scalable capability, not a series of pilots. To learn more about the strategic direction behind Automation Anywhere EMEA growth, read the announcement here. Ultimately, Automation Anywhere EMEA growth is a signal that enterprise automation in the region is moving into a more outcome-driven phase - where intelligent automation, governance, and measurable ROI determine who scales successfully and who stalls at experimentation. Survey: Nearly All European Organisations...