Senior Vice President of Engineering, Automation Anywhere
$350-375k
+ Eligible for an executive bonus plan & equity
More information about location
Office located in San Jose, CA
Enterprise AI agents for business processes
Be an early applicant
Enterprise AI agents for business processes
1001+ employees
Be an early applicant
$350-375k
+ Eligible for an executive bonus plan & equity
More information about location
Office located in San Jose, CA
1001+ employees
Company mission
To democratise automation and create a better future for everyone, liberating people from mundane, repetitive tasks, and allowing them more time to use their intellect and creativity.
Role
Who you are
- You're 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
- 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 gates—not 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
- Strategic Vision & Enterprise Thinking: Ability to translate business strategy into a clear, forward-looking engineering vision—anticipating 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 teams—developing 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 environments—balancing 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
What the job involves
- We're 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, you'll embed intelligence across our full platform, enabling enterprises to build, automate, and operate smarter
- This is a pivotal moment in Automation and AI, and you'll shape how we lead it
- This role will report to our Chief AI Development Officer
- 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 reliability—with 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
- Owning SDLC and delivery excellence—predictable 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
- 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 foundations—feature 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
- 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 voice—internally (all-hands, engineering demos) and externally (conferences, customer briefings, analyst interactions)
- 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
- 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
- Leading technical diligence for acquisitions; own integration plans across systems, data, security, and people—aligning product and architecture roadmaps post-close
Our take
Although technology is supposed to save labor, often it doesn't feel like it, with the average desk worker stuck carrying out an increasing number of repetitive manual tasks just to make their growing software stack function. Enter Automation Anywhere, a provider of robotic process automation (RPA) software designed to handle tedious repetitive functions, freeing teams for more productive work.
RPA is a highly competitive field, with firms like Celonis attracting vast amounts of funding and Microsoft beginning to bundle RPA functionality with its business packages. What helps Automation Anywhere stand out is its use of AI to discover the processes that can be automated within a company, a task that is usually carried out by expensive consultancy firms. This has allowed Automation Anywhere to grow a huge client base, including the likes of the NHS, Dell and Staley Black & Decker.
Fueled by partnerships with Microsoft, AWS, and PwC India, Automation Anywhere is accelerating its leadership in AI-powered automation. These collaborations allow the company to deliver cutting-edge solutions and aid in its continued growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Company HQ
North San Jose, San Jose, CA
Leadership
Mihir Shukla
(Co-Founder & CEO)Previously the Director of Engineering at E2Open and Infoseek, and a Consultant at Netscape.
Neeti Mehta Shukla
(Co-Founder & Chief Impact Officer)Previously a Marketing Research Consultant for Intuit. They are also a Limited Partner at Kalaari Capital and CXXO Champion for CXXO.
Rushabh Parmani
(Co-Founder & Chief Customer Officer)Before co-founding Automation Anywhere they were a Software Engineer at Siebel Systems.
Ankur Kothari
(Co-Founder & COO)Previously a member of the Core Group in Siebel Systems. Since co-founding Automation Anywhere, they have been a CRO, COO, CSO and Chief Customer & Strategy Officer before becoming COO in 2023.
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