What are the responsibilities and job description for the Bot Strategist position at Coursera?
About Coursera
Coursera was founded in 2012 by Stanford professors Andrew Ng and Daphne Koller to make world-class learning accessible to everyone, everywhere. Today, over 190 million learners and 375 university and industry partners use our platform to gain skills in fields like AI, data science, technology, and business. As a Delaware public benefit corporation and Certified B Corp, we're driven by the belief that learning can transform lives through learning.
Why Join Us
At Coursera, we're looking for inventors, innovators, and lifelong learners ready to shape the future of education. You'll help build global programs and tools that power online learning for millions turning bold ideas into real impact. People who thrive here are customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter.
We're a globally distributed team and let you choose the best way you work, whether it's from home, a Coursera hub, or a co-working space near you. Our virtual hiring and onboarding make it easy to join us and start making an impact from anywhere. If you're ready to make a global impact, scale unique products exclusive to Coursera, and expand your career horizons, apply below.
Job Overview:
Coursera is looking for a Bot Strategist to join our Scaled Support Operations team under the Services org. The Services team is made up of four sub-teams: Scaled Support, Enterprise Services, Platform Services, and the Service Operations Center. We help educators, administrators, and learners succeed by implementing innovative systems and processes that solve problems. We also develop best practices and technical expertise to enable our partners to create high-quality content. As strong advocates for the Coursera community, we work to align cross-functional teams and build scalable solutions to continuously improve the Coursera experience. As a Bot Strategist and the owner of our AI-driven bot ecosystem (chat email), you will build, enhance and expand our bots ability to address and resolve our users' needs. Additionally, you will partner with Product Managers, Engineering Managers and Business Enterprise Solutions teams to enable APIs, expand access, and create smoother hand-offs to escalation paths. You will work closely with our Content Strategist and Support Strategist to ensure the bots provide accurate information and quality interactions.
Responsibilities:
- Expand and maintain LLM-powered gen actions; convert high-impact hand-written intents to LLM-powered flows.
- Improve model prediction accuracy and reduce unknown predictions through training, hierarchy tuning, and experiments.
- Design, document, and iterate global/local bot instructions aligned with brand voice and escalation logic.
- Build a monitoring and testing cadence (LLM-assisted audits, manual reviews, dashboards) to track CSAT, deflection, resolution, automation, and other relevant metrics.
- Partner with help content optimization to ensure LLM-friendly formatting and closure of knowledge gaps.
- Collaborate cross-functionally (Support Ops, Engineering, Product, Vendor CSMs) on experiments, expansion of supported languages, and API integrations.
Qualifications:
- 3 years experience building/optimizing customer support bots or virtual agents in production.
- Experience with LLM-powered bots (prompt/instruction design, RAG/gen actions) and hybrid ML LLM models.
- Experience improving bot KPIs (deflection, CSAT, resolution) using data-driven iteration.
- Hands-on experience with at least one bot/vendor platform (e.g., Ada, Boost, Dialogflow, Salesforce).
- Experience instrumenting/monitoring bot performance (e.g., Looker/Tableau, SQL or similar).
Nice to haves:
- Experience with Ada and/or Boost; API-based actioning; A/B testing and experiments; logical flows (e.g., IF statements)..
- Strong prompt engineering and instruction tuning for support scenarios.
- Familiarity with help center/knowledge base optimization for LLM consumption (structure, chunking, metadata).
- Experience with model evaluation frameworks and automated LLM testing tools.
- Experience in online education or similar consumer support environments.
- Experience addressing different end user groups such as administrators, partners, consumers.
- Located in CST or EST Time Zone
Compensation
This role is available in the following US Pay Zones:
Zone 3: $87,000 - $109,000
Zone 4: $80,000 - $101,000
At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level across four U.S. pay zones. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are.
US Pay Zones:
- US-Z1: Bay Area
- US-Z2: NYC and Seattle Metro
- US-Z3: CA, WA, NY, NJ, CO, CT, DC, GA, IL, MA, MD, OR, RI, TX, VA
- US-Z4: AK, AZ, DE, FL, HI, ID, IN, IA, KS, KY, MI, MN, MO, MT, NC, NV, NH, OH, OK, PA, SC, TN, UT, VT, WI
If this opportunity interests you, you might like these courses on Coursera:
- Prompt Engineering
- AI for Customer Care
- Responsible AI Practices
#LI-CY
Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at accommodations@coursera.org. Learn more in our CCPA Applicant Notice and GDPR Recruitment Notice.
Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org.
Salary : $80,000 - $109,000