Tech Lead Manager, Product Growth
Glean is an enterprise AI platform that connects company knowledge and systems to provide permission-aware search, AI assistance, and agents.
Funding history
About Glean
Glean develops enterprise Work AI software. Its platform provides enterprise search, a conversational AI assistant, and tools to build, govern, and orchestrate AI agents using a company’s connected data and permissions.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will define the technical direction and lead execution for product-growth initiatives across user-facing experiences. You will lead full-stack engineers, partner with product, design, data science, marketing, and applied AI stakeholders, and use customer insights and experimentation to improve adoption and engagement. You will own projects from problem discovery through launch and measurement, contribute to architecture and code reviews, debug complex issues, and hire, coach, and develop engineers as the function grows.
Requirements
- 8+ years of software engineering experience building production distributed systems or cloud-native applications
- 1+ years of engineering management experience of a full-stack team
- BS/BA in Computer Science or a related field, or equivalent practical experience
- Experience building and shipping user-facing products
- Ability to lead engineers through ambiguity, make technical decisions, and deliver outcomes
- Experience partnering with product managers, designers, and data scientists
- Ability to use data to understand user behavior, define metrics, and assess experiment results
- Experience with product growth, experimentation, activation, adoption, engagement, retention, or data-driven product optimization
- Strong understanding of customer needs
- Experience with agentic AI products, large language model applications, machine learning systems, or AI-assisted product experiences is a plus
Responsibilities
- Define technical direction and lead execution for product growth initiatives across user-facing experiences
- Partner with Product, Design, Data Science, Marketing, and Applied AI to prioritize opportunities that increase awareness, adoption, activation, and engagement
- Lead full-stack engineers in building measurable experiences that help users realize value and return more frequently
- Use product data, customer insights, behavioral analysis, and experimentation to identify growth opportunities and inform decisions
- Establish experimentation and measurement practices, including hypotheses, metrics, instrumentation, experiment design, analysis, and iteration
- Own projects end to end from problem identification through design, implementation, launch, measurement, and follow-through
- Contribute to code and architecture, review designs and code, debug complex issues, and maintain a high technical bar
- Provide backend and systems leadership while partnering across the full stack
- Collaborate with engineering teams to deliver cohesive experiences and scalable growth foundations
- Engage with users and customers to understand needs and friction
- Hire, coach, and develop engineers and establish effective engineering practices
Benefits
- Medical coverage
- Vision coverage
- Dental coverage
- Generous time-off policy
- 401(k) plan
- Home office improvement stipend
- Annual education stipend
- Annual wellness stipend
- Regular events
- Healthy lunches daily
Hiring Process
Brief AI-focused exercise or discussion during the interview process.