696,087open jobs
40,981companies
104,248added this week
Browse all
Salary
$212k – $265k per year
Location
In office (New York)
Seniority
Staff
Employment
Full-Time
Overview
Company
Impact
Profile match
Scale AI is an American company founded in San Francisco in 2016 that supplies the training data, evaluation and tooling behind large artificial intelligence systems. It began with human-labelled annotation for autonomous driving and computer vision, then expanded into reinforcement learning from human feedback, expert data generation, model evaluation and full-stack deployment platforms for enterprises and governments. In 2025 Meta acquired a large minority stake and hired co-founder Alexandr Wang, after which the company continued under new leadership serving defence, public sector and commercial customers.

Scale plays a vital role in the development of AI applications, and consumer businesses are where those applications meet the most users, the most traffic, and the least patience for a bad experience. Retail and e-commerce, media and streaming, gaming, marketplaces, and social platforms are deploying GenAI into products used by millions of people daily, where latency, unit economics, and quality at volume decide whether a system ships or gets pulled.

As Solutions Engineering Lead for Consumer, you'll be a player-coach: managing and growing a team of 3 to 5 Solutions Engineers while personally owning our most strategic consumer accounts. You'll set the technical bar for how Scale designs solutions that hold up at consumer scale, build the reusable assets and playbooks your team runs on, and be the person Sales, Product, and Engineering turn to when a deal hinges on a hard performance, cost, or quality question.

You will:

  • Manage, coach, and grow a team of 3 to 5 Solutions Engineers, setting expectations, running deal reviews, developing careers, and hiring as the vertical scales.
  • Personally own the technical win on our most strategic consumer accounts, staying hands-on in demos, prototypes, and architecture conversations rather than managing from a distance.
  • Build the vertical's technical playbook: reference architectures, demo environments, evaluation frameworks, and SOW patterns your team and the broader GTM org can reuse.
  • Serve as the domain authority on GenAI at consumer scale, including agentic customer experience, personalization and search relevance, trust and safety and content moderation, and the latency, throughput, and cost-per-inference tradeoffs that come with millions of users.
  • Partner with AEs and GTM leadership on account strategy, technical qualification, and pilot scoping that converts into production deployments.
  • Work with forward-deployed Software and Machine Learning Engineers to carry solutions from initial design through early implementation.
  • Translate patterns across your accounts into structured, prioritized input for Product and Engineering, and influence the roadmap on behalf of the vertical.

Ideally you'd have:

  • A strong engineering background with significant experience in a customer-facing technical role (solutions engineering, solutions architecture, forward-deployed engineering, or technical consulting), including hands-on development in Python or similar.
  • Experience leading or mentoring technical individual contributors. Formal people management is welcome, but a credible track record as a tech lead or team lead matters more than title.
  • Experience with high-scale consumer-facing systems such as recommendation and personalization, search, content moderation, or conversational products, and real fluency in the performance and cost constraints that come with them.
  • Presentation skills with high technical credibility in front of both product or executive stakeholders and front-line engineers, plus the intellectual curiosity, empathy, and velocity to operate in a fast-moving vertical.

Nice to haves:

  • Hands-on GenAI, LLM, or applied machine learning experience, especially evaluation and quality measurement at high volume.
  • Background in retail, e-commerce, media, gaming, marketplaces, or social platforms.
  • Experience standing up a new vertical, practice, or team from an early stage.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$212,000—$265,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
696,087 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
New York
$269k – $307k per year • In office • Full-Time • 10+ years exp • Bachelor's Degree • McLean
Python
JavaScript
Rust
TypeScript
C#
Scala
AI/ML
AI Agents
DevOps
GCP
Azure
AWS
HPC
Apply
Payroll Analyst 4 hours ago
$122k – $152k per year • Equity • In office • Full-Time • 5+ years exp • Bachelor's Degree • San Francisco
Apply
$175k – $326k per year (Estimated) • In office • 10+ years exp • London
SQL
Apply
$234k – $292k per year • Equity • In office • Full-Time • New York
AI/ML
Machine Learning
Design
Figma
Apply
$181k – $226k per year • Equity • In office • Full-Time • 5+ years exp • San Francisco
Python
SQL
AI/ML
Scale AI
Apply
$212k – $265k per year • Equity • In office • Full-Time • New York
Python
AI/ML
LLM
Machine Learning
Cybersecurity
HIPAA
Apply
$390k – $420k per year • Remote • 8+ years exp • New York
Apply
$100k – $140k per year • In office • New York
Python
SQL
Databases
Snowflake
AI/ML
dbt
DevOps
Rest API
CI/CD
Git
AWS
Docker
Apply
$68k – $200k per year (Estimated) • Remote/Hybrid • 3+ years exp • Bachelor's Degree • New York
Management
Agile
Apply
Founding Engineer 4 hours ago
$150k – $220k per year • In office • Full-Time • 4+ years exp • New York
Python
AI/ML
Fine-tuning
Reinforcement Learning
AI Agents
LLM
Apply
Design Engineer 4 hours ago
$150k – $300k per year • In office • Full-Time • New York
TypeScript
AI/ML
AI Agents
Human-in-the-Loop
Apply
See all jobs
This is one of many
696,087 more open roles from verified company boards, updated every day.