Alphabet Inc. (GOOGL), the parent company of Google, owns several other companies in addition to the search engine giant. Seven major companies owned by Alphabet are YouTube, Waze, DoubleClick, Nest, Looker, Fitbit, and Mandiant. The company has diversified far beyond search engines in the past two decades.
Software Engineer III, AI/ML, Google Cloud AI
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience with data structures or algorithms.
- 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
- Master’s degree or PhD in Computer Science or related technical fields.
- Experience developing accessible technologies.
About the job
Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
CCAI Sales Specialist III, Regulated Industries, Google Cloud
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 10 years of experience in a sales role in the enterprise software, cloud, or AI space.
- Experience identifying CCaaS use cases to solve customer challenges or selling Customer Experience or AI technology to clients.
- Experience in or supporting the healthcare life sciences or financial services industry.
Preferred qualifications:
- Experience carrying and exceeding strategic business goals in sales roles.
- Experience supporting long-term executive relationships, and developing new territories/accounts, while ensuring customer success, adoption, and expansion.
- Experience prioritizing, planning, and organizing sales activity within complex sales cycles, including qualifying accounts and leveraging partner ecosystems.
- Experience working with internal/external teams to inventory existing software estate, build cases for transformation with implementation plans, and close agreements.
- Experience with Contact Center technologies (e.g., Avaya, Genesys, Cisco, Mitel, Twilio) and promoting CCAI and GenAI/AI technology stacks.
- Knowledge of market trends, products, and solutions in cloud, AI, and Customer Experience.
About the job
As a CCAI Sales Specialist, you will help us grow our Contact Center AI (CCAI) and Contact Center as a Service (CCaaS) business by building and expanding relationships with new and existing customers. You will lead day-to-day relationships with cross-functional team members and external customers, leading with empathy, while identifying innovative ways to multiply your impact and the impact of the team as a whole to drive overall value for Google Cloud. You will partner with internal Google Cloud Sales teams to grow our Customer Experience businesses, including expansion deals and working with product teams to help our customers build new products leveraging our AI.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $129,000-$194,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Responsibilities
- Build relationships with customers as the Customer Experience and CCAI subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term strategic direction of accounts.
- Deliver against quotas and achieve or exceed strategic business and growth goals while forecasting and reporting your territory’s business.
- Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer perspective, and provide excellent prospect and customer experience.
- Assist customers in identifying CCAI and AI/GenAI use cases suitable for Google Cloud AI products and solutions. Articulate key solution differentiators and the measurable business impact.
Senior UX Engineer, UX Insights & Innovation
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in front-end development, technical UX design, or prototyping.
- Experience with JavaScript or TypeScript development.
- Experience with HTML and CSS.
Preferred qualifications:
- 7 years of experience developing responsive, adaptive, and performant websites and applications.
- 5 years of experience as a front-end developer, UX Engineer, creative or design technologist, or in a prototyping design environment.
- Experience with ES2015+ or TypeScript and modern libraries/frameworks (e.g., Node, Lit, React, Angular).
- Experience with vector and motion graphics, including SVG, HTML5 Canvas, and animation using JavaScript and CSS (eg. GreenSock, d3, ProcessingJS, and Web Animation API).
- Experience in one or more of the following: Swift, Kotlin, Dart, Python, Ruby, Java, or C++.
About the job
At Google, we follow a simple but vital premise: “Focus on the user and all else will follow.” Google’s UX Engineers are versatile and passionate about taking on new problems to drive progress and vision for design teams. They’re comfortable wearing many hats and get excited about working across discipline lines to develop products and prototypes that bring new ideas to life.
Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the attitudes, emotions, and behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google’s businesses.
As a UX Engineer, you’ll work as part of a UX team in a challenging, fast-paced environment. You’ll demonstrate your creativity, analytical skills, and knowledge of user facing technologies to create prototypes that identify the best product experiences, launch innovative features, build tools that accelerate UX teams, bridge between design and engineering discussions, and enable efficient, high quality execution.
The web is what you make of it and our team is helping the world make more of the web. From open-source pros to user-experience extraordinaires, we develop products that help users connect, communicate and collaborate with others. Our consumer products and cloud platforms are giving millions of users at homes, businesses, universities and nonprofits around the world the tools that shape their web experience — and changing the way they think about computing.
User experience is at the forefront of how we create intuitive, innovative, and beautiful products that people love. We strive to learn and understand our users’ needs, behaviors, and emotions to gather insights that inform product strategy and design. Our UX teams include designers, researchers, content strategists, and engineers who are passionate about quality, usability, and simplicity. We work on collaborative teams to solve complex challenges and craft experiences that highlight our products’ unique capabilities and personalities. Our work touches billions while exemplifying a key principle that is core to Google’s philosophy: “Focus on the user and all else will follow.”
The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Responsibilities
- Fulfill several project requests simultaneously while meeting tight deadlines.
- Advise, collaborate with, and synthesize feedback from UX designers and researchers.
- Collaborate with other engineers on final implementation and polish.
- Meet high accessibility standards.
- Serve as a mentor for early career UX engineers and peers.
Cybersecurity Delivery Lead Consultant, Mandiant, Google Cloud
Minimum qualifications:
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
- 5 years of experience in the Information Security industry in program management, consulting, or software development.
- 2 years of experience using Agile methodologies and Agile project management tools while leading programs.
Preferred qualifications:
- MBA or Master’s degree with emphasis on Information Security, Information Technology, or Operations Management.
- Agile certification.
- CISSP or equivalent certification.
- 5 years of experience working with Information Security, infrastructure, software, or platforms, with 2 years of experience in cloud services.
- 2 years of experience with Developer Operations practices.
- 2 years of experience managing projects and customer relationships while working cross-functionally in a large organization.
About the job
The Mandiant Cyber Program Accelerator (CPA) team helps clients reduce business risk by strengthening their cybersecurity programs. We streamline security efforts, prioritize risk mitigation, and drive continuous improvement. This includes supporting clients with incident response recovery, and cyber program transformations.
As a Cybersecurity Delivery Lead Consultant in the CPA team, you’ll own a specific workstream within a larger external client engagement. This could involve supporting incident response recovery, implementing elements of a cyber program transformation, or conducting security program assessments. You’ll drive the activities required to achieve client objectives, acting as a trusted advisor while collaborating with the Delivery Manager and stakeholders. We’re a team that combines deep cybersecurity expertise with agile principles and robust project management to deliver impactful and lasting improvements to our external clients’ security posture.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Oversee complex, multi-disciplinary cybersecurity projects from requirements gathering to outcomes, working with internal and client stakeholders to define and measure business outcomes, develop release plans, identify dependencies, and direct predictable and repeatable Security Program improvements.
- Define the engagement delivery approach and deliver on client engagements.
- Work with internal and client stakeholders to plan requirements, manage schedules, identify risks, and communicate with cross-functional stakeholders.
- Communicate schedules, priorities, and status to all levels in the company.
- Coach and develop the Delivery team, comprised of internal and client team members, to incrementally improve throughput and quality.