Product Operations
Glean Work is hiring a Product Operations in Mountain View, United States. It pays $198k-$235k a year and Level rates it ; you can apply on Glean Work.
Level's read on this job
- On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
- Tools and skills the posting cites include AI agents.
- Level lists 130 other open roles at Glean Work.
AI in this role
About the Role
As a member of the Product Operations team, you’ll play a pivotal role in shaping and scaling the operational backbone of Glean’s product development while helping foster a thriving, connected Product team community. Reporting to the Head of Product Ops, you will be a force multiplier for our high-growth SaaS product organization, blending strategic thinking with hands-on execution and relentless curiosity. You thrive in navigating ambiguity, building scalable processes, and championing data-driven decisions that deliver value for our customers and teams — and you think AI first!
You will:
- Design the operating rhythm. Build the roadmap cadence, launch reviews, and
feedback loops that keep product teams aligned. Ensuring they are lightweight enough
that they don't tax the rest of the org. - Drive cross-functional alignment. Operates at the intersection of R&D, GTM, and
PMM. Unblock decisions and get teams moving without owning them. - Run programs to completion. Take messy, cross-functional work and push it across
the line. Adapt fast when priorities shift. - Close the voice-of-customer loop. Turn support tickets, sales calls, and usage signals
into prioritized, actionable product insight. - Own the written record. Document decisions clearly, communicate at the right altitude
for the audience, and own the narrative around how the product org works.
About you:
- 5-8+ years in Product Ops, TPM, or PM with strong discovery and analytics skills in a B2B or B2B2C environment, working with enterprise customers.
- Bachelor’s or Master’s Degree in Business, Engineering, Computer Science, or related fields
- Systems thinking. You see the whole workflow and design processes that scale without
bureaucracy. - Influence without authority. You align people by being useful and credible, not by
holding a title over them. - Program management rigor. You keep many threads moving and know what "done"
looks like. - Comfort with ambiguity and speed. You tolerate incomplete information and have the
judgment to make reversible decisions quickly rather than wait for certainty. - Sharp writing. You can compress a complex decision into a clear doc that people
actually read. - Hands on experience with AI technologies and a demonstrated interest in applying AI-first thinking to product and operational challenges.
- Fluency with product analytics (e.g., funnels, retention, segmentation) and qualitative research methods.
- Hands-on experience and technical aptitude to use and consult on Jira usage for teams and portfolio.
- Experience with SQL or similar data tools for self-serve analytics strongly preferred.
Location:
This role is hybrid (4 days a week in our Mountain View or San Francisco offices)
Compensation & Benefits:
The standard base salary range for this position is $198,000 - $235,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
#LI-HYBRID
AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.
How we rate this
Product Operations at Glean Work rates 46 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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Skills and AI tools this role asks for
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- List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
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