Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Agentic AI @ 1
Data Science
Debugging
Distributed Systems @ 7
Engineering Management @ 4
Experimentation @ 4
Hiring @ 7
LLM
Leadership @ 7
Machine Learning @ 1
Marketing
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Glean is hiring a product-minded, hands-on, technically strong Tech Lead Manager to establish and lead its Product Growth engineering function. This full-stack leadership role sits at the intersection of product engineering, data, experimentation, and applied AI. The role will guide architecture, partner with Product, Design, Data Science, Marketing, and Applied AI, and grow a strategically important engineering team.
The Product Growth team owns end-to-end experiences that help users discover Glean, reach value quickly, build lasting habits, and expand their use of the product. This includes invitation and first sign-in, activation, onboarding, engagement, re-entry, and broader adoption across teams and functions. The team works across login and setup flows, the home page, navigation, desktop and browser experiences, in-product education, lifecycle communications, and product-led expansion.
Responsibilities
- Define technical direction and lead execution for product growth initiatives across Glean’s user-facing experiences.
- Partner with Product, Design, Data Science, Marketing, and Applied AI to identify and prioritize opportunities that increase product awareness, adoption, activation, and engagement.
- Lead a team of full-stack engineers building measurable experiences that help users realize value from Glean more quickly and return to the product more frequently.
- Use product data, customer insights, behavioral analysis, and experimentation to identify growth opportunities and make informed technical and product decisions.
- Establish an experimentation and measurement foundation, including hypotheses, success metrics, instrumentation, experiment design, analysis, and iteration.
- Own projects end to end, from identifying user or customer problems through technical design, implementation, launch, measurement, and follow-through.
- Stay close to the code and architecture by contributing directly where needed, reviewing designs and code, debugging complex issues, and maintaining a high technical bar.
- Provide strong backend and systems leadership while partnering across the full stack and user-facing product experience.
- Collaborate with engineering teams across Glean to deliver cohesive experiences and scalable foundations for growth.
- Engage with users and customers to understand their needs, identify friction, and ensure that growth initiatives solve meaningful problems.
- Hire, coach, and develop engineers as the team grows; establish effective engineering practices; and create an environment of ownership, learning, and high-quality execution.
Requirements
- 8+ years of software engineering experience building production distributed systems or cloud-native applications.
- 1+ year of engineering management experience with a full-stack team.
- BS/BA in Computer Science or a related field, or equivalent practical experience.
- Experience as a product-forward software engineering leader building and shipping user-facing products, preferably in B2B SaaS, AI, productivity, collaboration, or other high-engagement software.
- Strong execution skills and the ability to lead engineers through ambiguity, make sound technical decisions, and deliver meaningful outcomes.
- Experience partnering with Product Managers, Designers, and Data Scientists to define problems, evaluate tradeoffs, and deliver measurable product improvements.
- Strong analytical skills and comfort using data to understand user behavior, evaluate opportunities, define success metrics, and assess experiment results.
- Demonstrated experience with product growth, experimentation, activation, adoption, engagement, retention, or other data-driven product optimization work.
- Strong understanding of customer needs and interest in building products that users discover, adopt, and use regularly.
- Experience building or working with agentic AI products, large language model applications, machine learning systems, or AI-assisted product experiences is a plus.
Work Arrangement
- Hybrid role requiring four days per week in Glean’s Mountain View office.
Compensation and Benefits
- Standard base salary range: $250,000–$300,000 annually.
- Certain roles may be eligible for variable compensation, equity, and benefits.
- Medical, vision, and dental coverage.
- Generous time-off policy.
- 401(k) contribution opportunity.
- Home office improvement stipend.
- Annual education and wellness stipends.
- Regular company events and healthy lunches daily.
Glean is committed to building and sustaining a diverse, inclusive workplace. The interview process includes a brief AI-focused exercise or discussion about how candidates think about, design, and use AI to drive impact in their role.