ApplySarthiSolutions Engineering Lead, Consumer
Scale AI
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This role on the market
5,604 open engineering roles across 520 companies are on ApplySarthi right now, most of them in Bengaluru (299), Hyderabad (110), Chennai (55).
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What engineering roles keep asking for: AWS (17%), Python (13%) — counted across their open postings here.
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Scale AI has 203 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for engineering roles keep coming back to AWS, Python. Practise those questions before you sit with Scale AI.
Questions you are likely to be asked
- Why do you want to join Scale AI?
- What is your experience with Generative AI? Tell me one thing you learned the hard way.
- Walk me through a system you built. How was it designed, and what would you change now?
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
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Practise the Solutions Engineering Lead, Consumer at Scale AI interview free →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 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 accommodations@scale.com. 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.
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Listed on greenhouse · posted 2026-09-17. ApplySarthi collects openings and links to application pages; the role is advertised by Scale AI, not by us.