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Helper Faang Companies Jobs (NOW HIRING)

Reducto

Machine Learning Eval Engineer

San Francisco, CA · On-site

$200K - $300K/yr

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

Manager, Sales Development

San Francisco, CA · On-site

We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies ... Help foster an inclusive, high-performance sales culture that reflects Reducto's values * Put an ...

Reducto, Inc.

Accounting Lead

San Francisco, CA · On-site

$180 - $230/hr

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

Account Executive, Enterprise

New York, NY · On-site

$320K/yr

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

New York, NY · On-site

$180K - $230K/yr

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 ...

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

Accounting Lead

San Francisco, CA · On-site

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

Accounting Lead

Santa Fe, NM · On-site

$180 - $240/hr

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

Backend/AI Engineer

San Francisco, CA · On-site

$200K - $300K/yr

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

Account Executive, Growth

New York, NY · On-site

$270K/yr

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 ...

Alleviate Health

Business Operations

San Francisco, CA · On-site

$120 - $180/hr

We're solving the problem that keeps execs at the largest $100B+ Pharma companies up at night. We ... We're looking for exceptional operators to help us realize this ambition. If you find this goal ...

Reducto, Inc.

Customer Success Manager

San Francisco, CA · On-site

$120 - $180/hr

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 ...

Reducto

Lead Software Engineer, Platform

San Francisco, CA · On-site

$200K - $325K/yr

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 ...

quadric, Inc

Forward Deployed Engineer

Burlingame, CA · On-site

$175K - $225K/yr

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 ...

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Helper Faang Companies information

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How much do helper faang companies jobs pay per hour?

As of Sep 6, 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 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 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 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 78% Full Time, 17% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $37,856 per year, or $18.2 per hour.

Machine Learning Eval Engineer

Reducto

San Francisco, CA • On-site

$200K - $300K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 23 days ago

Key responsibilities

  • Design, build, and maintain evaluation benchmarks to assess model performance and identify failure modes.

  • Develop metrics, heuristics, and workflows to automatically detect failure cases in large, real-world datasets.

  • Collaborate with ML, platform, and GTM teams to translate evaluation insights into model improvements and create bespoke benchmarks.

Job description

About Reducto
Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows.
We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms.
Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital.
The Opportunity
As an ML Eval Engineer, you'll play a key role in building the evaluation systems and benchmarks that make Reducto's models better over time. You'll collaborate closely with our ML, platform, and GTM teams to identify model weaknesses, design strong benchmarks, and create metrics and tooling that surface new failure modes as we scale. This is a high-impact role where you'll help define how model quality is measured at Reducto and shape the systems we use to improve it.
What You'll Do
  • Design, build, and maintain evaluation benchmarks that reveal where our models perform well and where they fail.
  • Develop metrics, heuristics, and workflows to automatically identify new failure modes across large and messy real-world datasets.
  • Partner closely with other ML engineers to turn evaluation insights into model improvements and better training priorities.
  • Work hands-on with unstructured enterprise data, including PDFs, spreadsheets, and other difficult document formats, to uncover edge cases and hard examples.
  • Build lightweight internal and user-facing tools, including simple interfaces in Python frameworks like Flask, to help teams inspect results, analyze model behavior, and communicate evaluation outcomes.
  • Collaborate with customers and internal teams to understand real-world data needs and create bespoke benchmarks that highlight Reducto's strengths.
You'll Thrive Here If You:
  • Hold yourself to a high bar for quality and precision.
  • Enjoy solving complex problems and building from first principles.
  • Have strong Python skills and can independently build clean, reliable technical solutions. Bonus points for product and frontend experience!
  • Are comfortable working with data infrastructure such as AWS S3 and OLAP or analytics systems like Tinybird.
  • Love getting your hands dirty with unstructured data and chasing down difficult failure cases.
  • Operate well in fast-changing, high-growth environments.
  • Collaborate effectively across technical and non-technical teams.
  • Take full ownership from strategy through execution.
Bonus points if you:
  • Have experience at an early-stage or high-growth startup.
  • Have some background in product thinking and can build simple, polished user-facing interfaces.
  • Are comfortable working directly with customers to understand their workflows and data needs.
  • Have experience in AI/ML, data infrastructure, enterprise software, or document understanding systems.
  • Care deeply about combining technical excellence with business impact.
This is an in person role at our office in SF. We're an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.
Benefits at Reducto
At Reducto, we're invested in the well-being and growth of our team. Here's what we currently offer:
  • Unlimited PTO: We believe great work requires recharging.
  • Lunch: Receive a free lunch to eat with your teammates daily at the office
  • Reimbursed Transportation: Provide us with your receipts and we'll take care of the costs
  • Insurance: Generous health insurance covering medical, dental, and vision.
  • Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.
  • Parental Leave: Work with us to build a leave schedule that works for you and your family

Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.

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