Vice President
@GLC
A complete application in a minute
Tailored resume and cover letter, ready to send.
Benefits offered by this job
Job summary
GLC, a San Francisco-based AI/FinTech company, seeks a VP of Platform Engineering to lead the platform engineering org, define the technical strategy for agentic AI infrastructure, and deliver scalable systems for banks and financial institutions.
You will work closely with the CEO and CTO to drive architectural direction, review code, and shape production-grade solutions while mentoring engineers and growing the team in a fast-paced startup environment.
Qualifications
- 10+ years in software engineering with 4–6+ years in technical leadership.
- Experience scaling engineering teams and platforms in venture-backed startups.
- Ownership of production‑scale agentic AI, LLM infrastructure, or ML platforms.
- Deep expertise in distributed systems, API design, and backend infra.
- Strong hands‑on programming in Python and/or TypeScript.
Responsibilities
- Lead and expand the platform engineering organization, starting with ~4 engineers.
- Own architecture and development of the AI-native platform infrastructure.
- Design and scale production-grade agentic AI systems and runtimes.
- Stay engaged in development, reviews, and strategic engineering decisions.
- Build and operate reliable, scalable cloud environments and APIs.
- Establish standards for performance, reliability, security, and observability.
- Collaborate with CEO/CTO on releases, strategy, and initiatives.
- Drive velocity with AI-assisted development tools; recruit and mentor teams.
- Guide growth in revenue, customers, headcount, and platform complexity.
- Foster a culture of excellence, ownership, and continuous innovation.
Skills
Education
Tools
Job description
Employment Type: Full-Time
Compensation: $400,000–$500,000 Base Salary + Competitive Equity
Industry: Artificial Intelligence | FinTech | Financial Services
Company Stage: Series A | $30M Raised | Cash-Flow Positive
We are recruiting a VP of Platform Engineering for a rapidly growing, profitable, venture-backed AI company transforming financial services through advanced agentic AI technology.
The company develops production-scale AI solutions for banks and financial institutions, enabling intelligent automation, conversational AI, and sophisticated customer engagement across voice and digital channels.
With approximately $30 million in contracted annual recurring revenue, hundreds of financial institution customers, and a platform reaching more than 10 million people, the company offers an exceptional opportunity to lead engineering at a critical stage of growth.
This is a highly technical, hands‑on executive leadership position for an experienced engineering leader who thrives in fast-paced startup environments.
You will work directly with the CEO and CTO to define technical strategy, build scalable AI infrastructure, and lead the platform engineering organization.
- Lead, manage, and expand the platform engineering organization, beginning with an existing team of approximately four engineers.
- Own the architecture and development of the company's AI-native platform infrastructure.
- Design and scale production-grade agentic AI systems, including agent runtimes, LLM orchestration, retrieval systems, evaluation frameworks, and agent-authoring platforms.
- Remain actively involved in software development, code reviews, technical architecture, and complex engineering decisions.
- Build scalable distributed systems, APIs, cloud infrastructure, and reliable production environments.
- Establish engineering standards for performance, reliability, observability, security, and scalability.
- Collaborate directly with the CEO and CTO on product releases, platform strategy, and new technical initiatives.
- Drive engineering velocity through modern AI-assisted development tools and practices.
- Recruit, mentor, and develop high‑performing engineering teams.
- Guide the organization through significant growth in revenue, customers, engineering headcount, and platform complexity.
- Develop a culture of technical excellence, accountability, ownership, and continuous innovation.
- 10+ years of software engineering experience, preferably with 4–6+ years in technical leadership.
- Current or recent experience as a VP of Engineering, CTO, Head of Engineering, or senior platform engineering leader.
- Proven experience scaling engineering teams and platforms at high‑growth, venture‑backed startups, ideally from Series A/B through Series C/D.
- Demonstrated ownership of production‑scale agentic AI, LLM infrastructure, conversational AI, or machine learning platforms.
- Deep expertise in distributed systems, cloud architecture, API design, and scalable backend infrastructure.
- Strong hands‑on programming experience with Python and/or TypeScript.
- Ability to remain technically engaged through coding, pull request reviews, architecture design, and engineering problem‑solving.
- Experience building and operating reliable AI‑powered systems in production.
- Strong understanding of LLM orchestration, retrieval‑augmented generation (RAG), evaluation frameworks, and AI platform operations.
- Experience leading multiple engineering teams and developing technical leaders.
- Familiarity with AI development tools such as Claude Code, Cursor, and other modern AI‑assisted engineering platforms.
- Bachelor's degree in Computer Science or a related STEM discipline.
- Ability to work on‑site in San Francisco five days per week.
- Experience scaling an engineering organization through multiple venture funding stages, including measurable revenue and headcount growth.
- Background in high‑growth AI infrastructure, enterprise AI, or fintech startups.
- Experience with conversational AI, voice AI, and multi‑agent architectures.
- Familiarity with regulated financial services, banking infrastructure, compliance, and security.
- Experience developing AI evaluation pipelines, orchestration frameworks, and production monitoring systems.
- Demonstrated ability to balance technical execution with strategic engineering leadership.
- Strong entrepreneurial mindset and experience working directly with founders.
The engineering environment includes:
- Languages: Python, TypeScript
- AI: LLMs, Agentic AI, Multi‑Agent Systems, RAG
- AI Infrastructure: LLM Orchestration, Agent Runtime, Evaluation Frameworks, ML Infrastructure
- Platform Engineering: Observability, Reliability, Developer Tooling, Production AI Operations
- Development Tools: Claude Code, Cursor, and other frontier AI technologies
- Base Salary: $400,000–$500,000 annually
- Competitive equity package
- 100% employer‑paid health, dental, and vision insurance
- Daily meals
- Wellness stipend
- Access to advanced AI development tools, including Claude Enterprise
- Direct collaboration with the CEO and CTO
- Significant ownership of technical architecture and engineering strategy
- Opportunity to build and scale an AI‑native platform used by millions of people
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
