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Vp Saas Engineer Jobs (NOW HIRING)

Sureify

VP of Engineering

$184K - $237K/yr

The Role As the VP of Engineering, you will be responsible for all product engineering globally ... A strong foundation in modern SaaS architectures (AWS, TypeScript, React, Distributed Systems)

Payactiv, Inc.

VP of Engineering

Milpitas, CA

$255K - $275K/yr

Job Title: VP of Engineering Location: Milpitas, CA (On site) Salary Range: $255K-$275K (based on ... or SaaS environments. * Proven experience managing distributed teams, including offshore and on ...

Inovalon

VP, Product Management

Bowie, MD

With responsibility for the expanding (SaaS) Product function, the VP, Product Management must be ... Engineering Detail: Ensure that the product team is building comprehensive feature/function ...

Inovalon

VP, Product Management

Tampa, FL

With responsibility for the expanding (SaaS) Product function, the VP, Product Management must be ... Engineering Detail: Ensure that the product team is building comprehensive feature/function ...

Workiva, Inc.

VP of Customer Experience

Ames, IA

$135K - $173K/yr

Partner closely with Product and Engineering to resolve escalations and influence roadmap ... Strong background in customer communications, ideally in SaaS or complex product environments.

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All JobsVp Saas Engineer Jobs

Vp Saas Engineer information

See salary details

$112.5K

$215.6K

$398.5K

How much do vp saas engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for vp saas engineer in the United States is $215,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $180,000.00 and $232,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a VP SaaS Engineer, and why are they important?

To thrive as a VP SaaS Engineer, you need extensive experience in software engineering, cloud architecture, and SaaS product development, usually backed by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), CI/CD pipelines, and agile project management tools is essential, along with relevant certifications such as AWS Certified Solutions Architect. Leadership, strategic thinking, and effective communication are critical soft skills for managing technical teams and aligning engineering efforts with business goals. These combined skills ensure the successful delivery, scalability, and reliability of SaaS products in a competitive market.

What is the difference between Vp Saas Engineer vs Product Manager?

AspectVp Saas EngineerProduct Manager
Primary FocusTechnical SaaS development and engineering leadershipProduct strategy, roadmap, and user experience
Required SkillsSoftware engineering, cloud platforms, SaaS architectureMarket analysis, project management, stakeholder communication
Work EnvironmentEngineering teams, technical departmentsCross-functional teams, marketing, sales, design
Common UsageTech companies, SaaS providersProduct-driven organizations, tech startups

The Vp SaaS Engineer primarily focuses on leading SaaS product development from a technical perspective, ensuring scalable and reliable solutions. In contrast, a Product Manager concentrates on defining product vision, coordinating teams, and aligning business goals. Both roles are essential in SaaS companies but serve different strategic and operational functions.

How does a VP SaaS Engineer typically collaborate with cross-functional teams to drive product innovation?

As a VP SaaS Engineer, you play a pivotal role in bridging engineering with product, sales, and customer success teams. You’ll regularly participate in strategic planning meetings, ensuring that technical feasibility aligns with business goals and customer needs. This role often requires facilitating communication between engineering and non-technical stakeholders, prioritizing feature development, and removing roadblocks to keep projects on track. Close collaboration fosters innovation and ensures the SaaS product evolves to meet market demands while maintaining technical excellence.

What does a VP SaaS Engineer do?

A VP SaaS Engineer is an executive leader responsible for overseeing the engineering and technical strategy of a company’s SaaS (Software as a Service) products. Their role includes managing engineering teams, defining product architecture, ensuring the scalability and security of cloud-based applications, and aligning technical development with business goals. They often collaborate closely with product, sales, and customer success teams to deliver high-quality software solutions. The VP SaaS Engineer also drives innovation, mentors engineering leaders, and ensures best practices in software development are followed.
More about Vp Saas Engineer jobs
What cities are hiring for Vp Saas Engineer jobs? Cities with the most Vp Saas Engineer job openings:
What are the most commonly searched types of Saas Engineer jobs? The most popular types of Saas Engineer jobs are:
What states have the most Vp Saas Engineer jobs? States with the most job openings for Vp Saas Engineer jobs include:
What job categories do people searching Vp Saas Engineer jobs look for? The top searched job categories for Vp Saas Engineer jobs are:
Vp Saas Engineer jobs near you
Infographic showing various Vp Saas Engineer job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 100% In-person job distribution, with an average salary of $215,595 per year, or $103.7 per hour.
Senior Vice President, Engineering

Senior Vice President, Engineering

Automation Anywhere, Inc.

San Jose, CA • On-site

$211K - $271K/yr

Full-time

Medical, PTO

Posted 23 days ago

Job description

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 industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics-all 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:
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. 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. This is a pivotal moment in Automation and AI, and you'll shape how we lead it.
Who you'll 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 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

Technical & Operational Excellence
  • 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

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 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

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 voice-internally (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 people-aligning product and architecture roadmaps post-close

You will be a great fit if you have:
  • Bachelor's degree in Engineering, Computer Science, or a related technical field (Master's degree a plus)
  • 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

You excel in these key competencies:
  • 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

The base salary range for this position is $350,000 - $375,000 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 that's 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 you'll 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 more here
  • Newsweek's Top 100 Most Loved Workplaces in America 2023 - Learn more here

Automation Anywhere is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email recruiting@automationanywhere.com.
At this time, we typically do not offer visa sponsorship for this position. Candidates should generally be authorized to work in the United States without the need for current or future sponsorship.
All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.

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