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.
