12 часов назад
Engineering Tech Lead, Data Platform – USDS (AI)
187 040 - 438 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Tech Lead, Data Platform – USDS (AI): Building scalable data platforms, AI-driven internal products, conversational RAG systems, and autonomous diagnostic engines with an accent on secure distributed infrastructure, self-service tooling, and release governance. Focus on designing enterprise-scale AI orchestration, platformizing AI pilots, and reducing operational bottlenecks across data security and business workflows.
Location: San Jose, United States; fully in-person schedule up to 5 days per week
Salary: $187,040–$438,000 annually, with potential discretionary bonuses, incentives, and restricted stock units.
Company
operates data privacy, cybersecurity, trust and safety, and U.S. user data protection programs for TikTok’s U.S. operations.
What you will do
- Define the long-term technical strategy and architecture for AI-driven internal products.
- Design scalable, secure, and cost-efficient systems including enterprise conversational RAG platforms and autonomous diagnostic engines.
- Build self-service data platforms that enable Legal, Finance, HR, and other non-technical stakeholders to solve complex data problems independently.
- Integrate intelligent automation into the Meego release governance pipeline to improve reliability and reduce operational risk.
- Lead cross-functional platformization of AI pilots, including standards for A/B testing and resource allocation.
- Mentor engineers and establish standards for code quality, technical documentation, system resilience, and high-velocity execution.
Requirements
- Bachelor’s, master’s, or PhD in Computer Science, Engineering, or a related technical field.
- 5+ years of professional software development experience and a track record of leading large-scale projects from 0–1 through maturity.
- Experience serving as a Technical Lead for a mid- to large-sized team, with architectural oversight and cross-team influence.
- Expertise in backend systems using Go, Python, Java, or C++, plus strong knowledge of distributed systems and data infrastructure.
- Ability to work fully in person in San Jose, with office presence up to five days per week.
Nice to have
- Experience building and scaling LLM-based agents, complex RAG architectures, and Human-in-the-Loop automation.
- Experience creating enterprise-scale internal productivity ecosystems such as automated SQL engines, intelligent on-call bots, or large-scale A/B testing platforms.
- Experience working within complex compliance and security environments while maintaining engineering velocity.
- Ability to communicate AI and infrastructure roadmaps to executive leadership and government relations stakeholders.
Culture & Benefits
- Medical, dental, and vision insurance available from day one.
- 401(k) savings plan with company match, paid parental leave, disability coverage, and life insurance.
- Wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
- Focus on curiosity, humility, resilience, continuous iteration, inclusion, and meaningful impact.
- Reasonable accommodations are available during the recruitment process.
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