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Helper Faang Companies Jobs (NOW HIRING)

Celonis

Staff Software Engineer

Redwood City, CA · On-site

$212K - $285K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... companies. Come join us on the ground floor on a team led by experienced ex-FAANG coworkers ... Help define a fun and inclusive engineering culture The qualifications you need * BS in Computer ...

Reducto

People Operations Lead

San Francisco, CA · On-site

$150K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Opportunity We're looking for our first People Operations Lead to help build the HR function ... Your work directly shapes how the world's best AI companies access and use enterprise data. * Speed:

Reducto

Account Executive

New York, NY · On-site

$300K/yr

  • Medical

  • Dental

  • Vision

  • PTO

We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies ... Contributing to the development of our sales playbook, helping identify what works and refining our ...

Celonis

Staff Software Engineer

New York, NY · On-site

$194K - $260K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... companies. Come join us on the ground floor on a team led by experienced ex-FAANG coworkers ... Help define a fun and inclusive engineering culture The qualifications you need * BS in Computer ...

Reducto

Machine Learning Eval Engineer

San Francisco, CA · On-site

$150K - $300K/yr

  • Medical

  • Dental

  • Vision

  • PTO

We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies ... This is a high-impact role where you'll help define how model quality is measured at Reducto and ...

Reducto, Inc.

Lead Software Engineer, Platform

San Francisco, CA · On-site

$180 - $240/hr

  • Medical

  • Dental

  • Vision

  • PTO

We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies ... Building internal tooling, evals, and debugging workflows that help engineers find and fix failures ...

Reducto

Accounting Lead

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • PTO

We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies ... across FAANG and top trading firms. Reducto has raised over $100M from world-class investors ...

Reducto

Lead Software Engineer, Platform

San Francisco, CA · On-site

$150K - $300K/yr

  • Medical

  • Dental

  • Vision

  • PTO

We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies ... Building internal tooling, evals, and debugging workflows that help engineers find and fix failures ...

Cal.com, Inc

Chief of Staff to Head of GTM

New York, NY · On-site +1

$120K/yr

... companies, FAANG organizations, and governments. Millions of users already rely on Cal.com every ... able to say you've helped drive growth from ~$10M to $100M ARR * Prefers building real ...

Reducto

Backend/AI Engineer

San Francisco, CA · On-site

$200K - $300K/yr

  • Medical

  • Dental

  • Vision

  • PTO

We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies ... across FAANG and top trading firms. Reducto has raised over $100M from world-class investors ...

Reducto

Customer Success Manager

San Francisco, CA · On-site

$180K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies ... The Opportunity As part of the early Customer Success team, you'll help to build our customer ...

quadric, Inc

Forward Deployed Engineer

Burlingame, CA · On-site

$175K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Unlike a FAANG solutions role, you'll work the entire stack: quantization, custom kernels, and ... Help define and refine Quadric's agentic (Claude Code-based) FDE workflow - there's no existing ...

Reducto

Workplace & Experience Coordinator

San Francisco, CA · On-site

$21.25 - $28.25/hr

  • Medical

  • Dental

  • Vision

  • PTO

Help manage the workplace budget: track expenses, review invoices, and flag cost-saving ... Your work directly shapes how the world's best AI companies access and use enterprise data. * Speed:

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Helper Faang Companies information

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How much do helper faang companies jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for helper faang companies in the United States is $18.20, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.27 per hour, depending on experience, location, and employer.

What is a helper at FAANG companies?

Helper roles at FAANG companies typically refer to entry-level or support positions that assist teams and departments in their day-to-day operations. These roles can include administrative assistants, IT support, office coordinators, or other positions that provide logistical, technical, or operational support. While they may not require advanced technical skills, these jobs are crucial for maintaining workflow efficiency and supporting core business functions. Working in a Helper role can also provide valuable exposure to the company culture and opportunities for career advancement.

What are the key skills and qualifications needed to thrive as a software engineer at a FAANG company?

To thrive as a Software Engineer at a FAANG company, you need a strong background in computer science fundamentals, coding proficiency (often in languages such as Python, Java, or C++), and a relevant degree or equivalent experience. Familiarity with version control systems like Git, cloud platforms (e.g., AWS, Google Cloud), and coding interview preparation are essential, and certifications such as AWS Certified Solutions Architect can be beneficial. Exceptional problem-solving skills, teamwork, and effective communication set standout candidates apart in collaborative and high-pressure environments. These skills ensure engineers can contribute to complex projects, adapt to rapid technological changes, and drive innovation at scale.

What are the typical responsibilities of a helper at FAANG companies?

As a Helper at FAANG companies, you can expect to handle a variety of support tasks that keep project teams functioning smoothly. These may include organizing documentation, assisting with scheduling, facilitating communication between departments, and managing logistical needs for team initiatives. Helpers often work closely with engineers, product managers, and administrative staff to ensure projects stay on track and deadlines are met. This collaborative environment offers valuable exposure to different functions within the company and can provide a strong foundation for future career growth.

What is the difference between Helper Faang Companies vs Data Analyst?

AspectHelper Faang CompaniesData Analyst
Required CredentialsHigh school diploma or equivalent, basic technical skillsBachelor's degree in statistics, data science, or related field
Work EnvironmentSupport roles in tech offices, often entry-levelOffice setting, analyzing data, creating reports
Employer & Industry UsageTech giants like Google, Facebook, AmazonVarious industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding entry-level support roles in FAANGComparing data analysis roles in tech companies

Helper Faang Companies typically refer to entry-level support roles requiring minimal formal credentials, focusing on assisting teams within tech giants. Data Analysts, however, usually need specialized education and analyze data to inform business decisions. While both work in tech environments, their responsibilities and qualifications differ significantly.

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Helper Faang Companies jobs near you
Infographic showing various Helper Faang Companies job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, 5% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $37,856 per year, or $18.2 per hour.

AI Product Manager - Data Products - 1808

PlacingIT

Sunnyvale, CA • On-site, Remote

$150K - $250K/yr

Full-time

Re-posted 16 days ago

Job description

AI Product Manager – Data Products - 1808
Location: Remote (United States)
Employment Type: Direct Hire - Full-Time Employment
Salary Range: $150,000–$250,000 Base Salary
Residency Requirements: U.S. Citizens and all other candidates authorized to work in the United States are encouraged to apply. Sponsorship is not available for this position. About the Role

We're looking for a highly technical AI Product Manager to help build next-generation AI-powered data products. You'll partner closely with engineering to define product direction, prioritize work, and translate customer and user feedback into technical requirements.

This role is ideal for someone who has worked in an early-stage startup, understands modern data infrastructure, and actively leverages AI tools in their daily workflow.

What You'll Do
  • Own product initiatives from concept through launch, focusing on technical users and data products.
  • Collaborate closely with engineering to prioritize product development and deliver customer value.
  • Gather user feedback and translate business needs into clear technical requirements.
  • Build and launch new AI-native products from 0 to 1.
  • Drive roadmap planning and prioritize features based on customer impact and technical feasibility.
  • Work with modern AI technologies to accelerate product development and improve internal workflows.
  • Partner with customers to understand evolving technical challenges and identify product opportunities.
  • Help shape the company's AI-first product strategy while contributing hands-on throughout the product lifecycle.
Required Qualifications
  • 3+ years of Product Management experience.
  • Experience building and launching products from 0 to 1 for technical users.
  • Product Management experience at an early-stage startup (Seed through Series B preferred).
  • Previous experience as a Data Engineer.
  • Strong understanding of the modern data ecosystem.
  • Experience building native Generative AI products, not simply adding AI features to existing software.
  • Strong technical communication skills with the ability to work directly alongside engineering.
  • Hands-on experience using AI tools as part of your daily workflow.
Technical Qualifications

Candidates should have experience with many of the following:

Modern Data Stack
  • ELT/ETL pipelines
  • Data Warehousing
  • dbt
  • Snowflake
  • Apache Spark
  • Data orchestration platforms
  • SQL
AI Technologies
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • AI evaluation frameworks
  • Prompt engineering
  • AI-assisted product development
AI Development Tools
  • Claude Code
  • Cursor
  • Codex
  • Similar AI coding and development tools
Education
  • Bachelor's degree in Computer Science, Mathematics, Engineering, or another technical discipline preferred.
What We're Looking For

The ideal candidate is highly technical, curious, and excited about building AI-native products in a fast-moving startup environment.

Successful candidates will demonstrate:

  • Strong technical depth in data engineering and AI.
  • Startup mentality with a hands-on approach.
  • Curiosity and passion for rapidly evolving AI technologies.
  • Ability to work independently with minimal direction.
  • Excellent communication between customers and engineering teams.
  • Low ego, collaborative mindset, and respect for teammates.
  • A genuine enthusiasm for experimentation and innovation.
Candidates Unlikely to Be a Fit

The following backgrounds generally do not align with this opportunity:

  • Career Product Managers from large, slow-moving technology companies (FAANG or similar).
  • Candidates who require highly structured or hierarchical work environments.
  • Professionals whose experience is primarily in data science or analytics rather than product development.
  • Candidates without hands-on experience building AI-native products.
  • Product Managers without a strong technical foundation in modern data platforms.