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Full Time Alias Intelligence Jobs (NOW HIRING)

Google

Senior Optical Engineer, XR

San Jose, CA · On-site

$122.50K - $168.20K/yr

... intelligence, offering personalized, conversational, and contextually aware experiences ... The US base salary range for this full-time position is $159,000-$231,000 bonus equity benefits.

Google

Senior Software Engineer

Pittsburgh, PA · On-site

$118.90K - $156.80K/yr

... intelligence, natural language processing, UI design and mobile; the list goes on and is growing ... The US base salary range for this full-time position is $174,000-$252,000 bonus equity benefits.

Google

Senior Software Engineer

Cambridge, MA · On-site

$133.90K - $176.50K/yr

... intelligence, natural language processing, UI design and mobile; the list goes on and is growing ... The US base salary range for this full-time position is $174,000-$252,000 bonus equity benefits.

Google

Software Engineer III

Pittsburgh, PA · On-site

$55.75 - $75/hr

... intelligence, natural language processing, UI design and mobile; the list goes on and is growing ... The US base salary range for this full-time position is $147,000-$211,000 bonus equity benefits.

Google

Senior Software Engineer

New York, NY · On-site

$134K - $176.70K/yr

... intelligence, natural language processing, UI design and mobile; the list goes on and is growing ... The US base salary range for this full-time position is $174,000-$252,000 bonus equity benefits.

Google

Product Design Engineer, Pixel Phones

Chicago, IL · On-site

$132.90K - $159.70K/yr

The US base salary range for this full-time position is $132,000-$189,000 bonus equity benefits ... Please do not forward resumes to our jobs alias, Google employees, or any other organization ...

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How much do full time alias intelligence jobs pay per year?

As of May 30, 2026, the average yearly pay for full time alias intelligence in the United States is $98,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $115,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Alias Intelligence Analyst, and why are they important?

To thrive as a Full Time Alias Intelligence Analyst, you need strong analytical abilities, attention to detail, and a background in intelligence analysis or a related field, often supported by a relevant degree. Familiarity with tools such as data mining software, OSINT platforms, and secure communication systems is typically required. Excellent problem-solving, discretion, and clear communication are essential soft skills for interpreting data and collaborating with teams. These competencies ensure accurate intelligence gathering and reporting, which are critical for organizational security and informed decision-making.

What are some common challenges faced by professionals in Full Time Alias Intelligence roles, and how can they effectively address them?

Professionals in Full Time Alias Intelligence roles often encounter challenges such as managing large volumes of complex data, maintaining strict confidentiality, and adapting quickly to evolving security threats. Effective strategies to address these challenges include developing strong analytical skills, staying updated with the latest intelligence tools and methodologies, and fostering close collaboration with cross-functional teams such as cybersecurity, law enforcement, and IT. Additionally, regularly participating in professional development and training can help individuals stay ahead in this fast-paced field.

What is a Full Time Alias Intelligence professional?

A Full Time Alias Intelligence professional specializes in gathering, analyzing, and interpreting data related to aliases used in digital and physical environments. Their role often involves identifying fraudulent activities, uncovering hidden identities, and supporting security or investigative teams. These professionals work with advanced software tools and databases to track and link aliases to real-world individuals or entities, helping organizations mitigate risks and make informed decisions. They typically work full-time for corporations, government agencies, or cybersecurity firms.
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What cities are hiring for Full Time Alias Intelligence jobs? Cities with the most Full Time Alias Intelligence job openings:
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What job categories do people searching Full Time Alias Intelligence jobs look for? The top searched job categories for Full Time Alias Intelligence jobs are:
Full Time Alias Intelligence jobs near you
Infographic showing various Full Time Alias Intelligence job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 20% Physical, and 80% Hybrid job distribution, with an average salary of $98,359 per year, or $47.3 per hour.

Senior Technical Program Manager, AI/ML, Finance

Google

Sunnyvale, CA • On-site

Full-time

Posted 26 days ago

Google rating

8.7

Company rating: 8.7 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

36th of 183 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree in a technical field or equivalent practical experience.
  • 8 years of experience in program management.
  • Experience working with AI to prototype and iterate designs, establishing the groundwork for final development.
  • Experience managing the software development lifecycle and shipping technical products.

Preferred qualifications:
  • 8 years of experience managing cross-functional or cross-team projects.
  • Experience working within or with finance domains (e.g., accounting, financial planning and analysis, treasury, procure-to-pay).
  • Knowledge of data architecture, data warehousing, data governance, and business intelligence principles.
  • Ability to influence without direct authority and drive consensus across cross-functional and executive stakeholders.
  • Excellent investigative, problem-solving, and communication skills with the ability to convey technical concepts to non-technical audiences.

About the job
A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
The US base salary range for this full-time position is $192,000-$278,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. 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.
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
  • Partner with finance stakeholders, including SMEs and process owners, to understand business tests, processes, and opportunities for AI and data-driven solutions.
  • Translate business needs into clear technical requirements, solution designs, and project roadmaps, considering the key AI/ML capabilities.
  • Lead and manage the lifecycle of technical projects, encompassing discovery, design, prototyping, development, integration, testing, launch, and ongoing monitoring.
  • Build and iterate on prototypes that can serve as the foundational design for development.
  • Connect insights and opportunities across different finance functions and technical initiatives to maximize impact and efficiency.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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