Product Manager, AI
Glean
Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.
Got this interview? Our apps help you get the job.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
10,386 open product roles across 1,315 companies are on ApplySarthi right now, most of them in Bengaluru (357), Hyderabad (107), Delhi NCR (74).
- Product Management Director, Supplier Network (AI-Powered)Jobgether
- Sr. Product Manager - Tech, Amazon Leo E-Commerce FoundationsAmazon
- MSD 365-Functional ERP Product OwnerZensar · bengaluru
What product roles keep asking for: Product management (49%), Stakeholder management (17%), SaaS (14%), Agile (13%) — counted across their open postings here.
Product Manager jobs in the United States · Product Manager jobs in San Francisco · Remote Product Manager jobs · LLMs jobs · Observability jobs · Product management jobs · SaaS jobs
Glean has 120 open roles listed here.
- Designated Technical Support Engineer - West
- Salesforce Developerbengaluru
- Solutions Engineer (EMEA Shift) bengaluru
- Forward Deployed Recruiter
- Solutions Engineer, Canada
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for product roles keep coming back to Product management, Stakeholder management, SaaS, Agile. Practise those questions before you sit with Glean.
Questions you are likely to be asked
- Why do you want to join Glean?
- What is your experience with LLMs? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Product Manager, AI at Glean interview free →About the Role:
As a Product Manager on Glean's AI team, you will own the core systems that make our AI reliable, efficient, and measurably better over time. We're looking for deep skills and hands-on experience in one or both of the following areas:
- Agent harness: experience designing or shipping the execution layer around the model, including planning, tool calling, context management, sub-agents, skills, memory, and long-running tasks, and making the tradeoffs across intelligence, latency, and cost that determine how well agents perform.
- Evaluation: experience building the evalsets, benchmarks, judges, and labeled data that gate launches, compare models and harness changes, and drive continuous hill-climbing on quality.
This is a highly technical, cross-functional IC role. You will work closely with AI engineering, data science, and platform marketing teams, and you will partner with leading model providers and help go-to-market teams turn quality improvements into customer proof points.
You will:
- Set the product strategy and roadmap for your area, grounded in customer workflows, trace data, and eval results.
- Define what "good" looks like for agentic work, including correctness, helpfulness, formatting, efficiency, and reliability, and turn it into clear, measurable launch bars.
- Make evidence-based tradeoffs across models, prompts, tools, and harness changes, balancing quality against latency, cost, and capacity.
- Decide when to use frontier models versus post-training open-weight models for specific tasks, weighing quality, cost, latency, and control, and define the data and evals needed to make post-trained models competitive.
- Build and scale the operating model for evaluation, including datasets, LLM-as-judge systems, human labeling, and benchmarks.
- Turn failed runs, poor traces, and user feedback into prioritized product and quality improvements.
- Partner with model providers and strategic partners on model evaluation, launches, and joint quality work.
- Give the team context, set direction, and build alignment across engineering, data science, and GTM teams without direct authority.
About you:
- You have 4+ years of product management experience, ideally on AI/ML, developer-platform, infrastructure, or quality-tooling products serving large enterprises.
- You have built or worked closely on LLM-powered agents or at-scale AI products, and you understand how harness design choices affect agent behavior.
- You are fluent in LLM evaluation concepts: evalsets, LLM-as-judge, pairwise/side-by-side judging, judge calibration against human labels, benchmarks, and offline-versus-online alignment.
- You are comfortable going deep on agentic systems, including multi-turn tasks, tool use, context and memory management, write actions, and tracing and observability.
- You are rigorous with data and can turn ambiguous quality problems into crisp hypotheses, metrics, and experiments.
- You have a strong technical background and can engage credibly with engineers and data scientists on system design and experiment results.
- You are an excellent written and verbal communicator who enjoys engaging with GTM teams and customers, and you can bridge our technical choices with the outcomes our customers care about.
- You have a proven track record of taking ownership, taking initiative, and delivering results.
- You have a learning and growth mindset, and you are mission-first.
- You are an early adopter of AI in your own product craft, and you use coding agents and AI tools to prototype, analyze, and move faster.
Location:
- This role is hybrid (4 days a week in one of our SF Bay Area offices)
Compensation & Benefits:
The standard base salary range for this position is $200,000 - $300,000 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
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.
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
- AI Success Manager (US East Customer Hours)Glean · bengaluru
- AI Success Manager (US West Customer Hours)Glean · bengaluru
- Application Security EngineerGlean
- Technical Program Manager, AI & Cloud Efficiency Glean · bengaluru
- Enterprise Account Executive, ChicagoGlean
- Enterprise Account Executive, Mid-AtlanticGlean
- Enterprise Account Executive, Ohio ValleyGlean
- Enterprise Account Executive, OregonGlean
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹149 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on greenhouse · posted 2025-02-05. ApplySarthi collects openings and links to application pages; the role is advertised by Glean, not by us.