Senior Vice President, Engineering

About Us:

Automation Anywhere is the leader in Agentic Process Automation (APA) transforming how work gets done with AI-powered automation. Its APA system built on the industrys first Process Reasoning Engine (PRE) and specialized AI agents combines process discovery RPA end-to-end orchestration document processing and analyticsall delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work Automation Anywhere helps organizations worldwide boost productivity accelerate growth and unleash human potential.

Our opportunity:

Were seeking an SVP of Engineering to lead our global engineering organization at a defining moment in the convergence of Automation and AI. You will own end-to-end engineering strategy and execution driving the vision for AI-native offerings at scale from foundational architecture to AI-powered product delivery. Partnering closely with Product Design Data and GTM leaders youll embed intelligence across our full platform enabling enterprises to build automate and operate smarter. Youre a deeply technical hands-on executive with a proven track record of shipping AI-native products at scale elevating engineering craftsmanship and turning ambitious AI bets into measurable business outcomes. This is a pivotal moment in Automation and AI and youll shape how we lead it.

Who youll report to:

This role will report to our Chief AI Development Officer

Location:

Hybrid role with regular onsite workdays in our San Jose CA corporate office

You will make an impact by being responsible for:

Strategy & Organizational Leadership

• Setting the engineering vision and multi-year roadmap aligned to company strategy; translating business goals into clear technical outcomes and AI-driven portfolio priorities
• Leading and scaling a multidisciplinary org (Apps Platform AI/ML) with VP/Director leaders and 100 engineers across geographies
• Establishing architecture guardrails and clear standards for quality security privacy and reliabilitywith AI governance built in from the ground up
• Partnering with Product & Design on outcome-based roadmaps and customer value hypotheses; shaping pricing and packaging strategy for AI-native features with PM & Finance

Technical & Operational Excellence

• Owning SDLC and delivery excellencepredictable releases high change success rate and reduced cycle time through robust CI/CD automation and trunk-based development at scale
• Driving reliability and performance (SLOs/SLIs/Error Budgets 99.9x availability) capacity planning and cloud cost efficiency through rigorous FinOps and unit economics discipline

AI-Native Product Leadership

• Partnering with Product and Data Science to define and ship AI-native capabilities: intelligent agents automation co-pilots autonomous workflow orchestration RAG pipelines and safety-by-design governance
• Building and scaling ML/LLM platform foundationsfeature stores vector databases prompt and model management evals red teaming and monitoring for drift toxicity and PII leakage
• Establishing model lifecycle and compliance practices (data provenance auditability bias testing human-in-the-loop review) and optimize latency and cost across hosted and self-managed models

People Culture & Talent

• Recruiting developing and retaining top-tier engineering leaders; build an inclusive high-accountability culture that celebrates craftsmanship AI innovation and sustainable pace
• Implementing succession planning leadership pipelines and clear career ladders; raising the bar through calibration mentoring and principled performance management
• Being a visible technical voiceinternally (all-hands engineering demos) and externally (conferences customer briefings analyst interactions)

Stakeholder Customer & Board Engagement

• Serving as a trusted executive partner to Product Sales Customer Success and Support; represent engineering at the Board and with strategic customers as needed
• Converting customer feedback into engineering priorities; ensure compliance data residency and enterprise-grade requirements are built into the roadmap

Financial & Vendor Stewardship

• Owning engineering budgets vendor strategy and build-vs-buy decisions; ensure efficient spend across cloud data/ML infrastructure and tooling with measurable ROI
• Leading risk management (operational technical privacy) quarterly business reviews and executive reporting with clear KPIs

M&A & Integration

• Leading technical diligence for acquisitions; own integration plans across systems data security and peoplealigning product and architecture roadmaps post-close

You will be a great fit if you have:

• 15 years in software engineering; 7 years leading large-scale multi-team organizations at VP/SVP level in enterprise SaaS
• Demonstrated success shipping AI-native products in production with strong governance telemetry and quality gatesnot just integrating AI but building around it
• Deep expertise scaling cloud systems (multi-tenant high-throughput) on AWS/Azure/GCP; strong instincts for bottlenecks and performance engineering
• Proven ownership of reliability and security at scale: SRE practices SLOs/SLIs/Error Budgets secure SDLC vulnerability management incident response and postmortems
• Track record of portfolio execution with short release cycles outcome-based planning and products with demonstrated customer adoption
• Mastery of modern engineering: Kubernetes Docker microservices Java and/or polyglot stacks event streaming and cloud-native data systems
• Hands-on fluency with the AI/ML stack: Python PyTorch/TensorFlow vector DBs feature stores LangChain/Semantic Kernel MLflow/KServe and model evaluation and observability
• Strong executive presence: able to influence at CEO/Board level and inspire large distributed teams with clarity and conviction

You excel in these key competencies:

• Strategic Vision & Enterprise Thinking: Ability to translate business strategy into a clear forward-looking engineering visionanticipating market shifts in AI/automation and aligning long-term technical roadmaps to measurable business outcomes
• Executive Influence & Stakeholder Leadership: Exceptional ability to influence and partner across C-suite Board and cross-functional leaders (Product GTM Finance) while representing engineering with credibility clarity and confidence
• Organizational Leadership & Talent Development: Proven capability to build scale and inspire high-performing global teamsdeveloping senior leaders fostering accountability and creating a culture of innovation inclusivity and engineering excellence
• Decision-Making & Operational Judgment: Strong data-driven decision-making in complex high-stakes environmentsbalancing speed risk cost and quality especially across AI investments architecture choices and build-vs-buy tradeoffs
• Customer-Centric Mindset & Business Acumen: Deep understanding of customer needs and enterprise requirements with the ability to convert insights into impactful engineering priorities that drive adoption value realization and revenue growth

The base salary range for this position is $350000 $375000 a year. The base salary ultimately offered is determined through a review of education industry experience training knowledge skills abilities of the applicant in alignment with market data and other factors. This position is also eligible for an executive bonus plan equity and a full range of medical and other benefits.

Ready to Revolutionize Work Join Us.

This is an opportunity to work with a global passionate team pioneering technology thats redefining the way people work everywhere. Join us and discover the many ways that you can have an impact achieve your potential and go be great.

Benefits and perks youll appreciate:

• Flexible work schedule / remote roles
• Unlimited Personal Time Off
• 12 holidays off per year
• 4 days volunteer time off per year
• Eligible for 4 company Achievement days off per year
• Variety of health care and well-being benefits
• Paid family/parental leave
• We are a designated Best Place to Work for 2 years in a row! Learn morehere
• Newsweeks Top 100 Most Loved Workplaces in America 2023 Learn morehere