Senior Product Manager, AI Agents & Automation
Job at a glance
Location San Francisco Bay Area; Atlanta, Georgia; Austin, Texas; Boston, Massachusetts; Chicago, Illinois; Houston, Texas; Toronto, Ontario Employment Type Full time Location Type Remote Department Product • Product Management Compensation US — Base Pay $160K – $210K • Offers Equity Canada — Base Pay CA$160K – CA$210K • Offers Equity The successful candidate's starting compensation will fall within the pay range listed, determined by job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions.
Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may also include stock options. We offer a comprehensive benefits package to full-time employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) (in the U.S.) or RRSP (in Canada) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package.
Part-time, consulting, or freelance roles may not be eligible for certain benefits. What you'll own Our AI agents and automation system, which has two components: Agentic/conversational front end — chatbot, voicebot, computer-use agents; shape what the prompt engineering team builds next and keep the architecture sound as it scales. Backend workflow automation — build new automations for things like document validation (ex.
licenses, proof of insurance), record disputes, transaction orchestration with external carrier systems. Evaluate emerging AI technology (voicebot, computer use agents, and beyond), make the call on what we invest in next, build and ship to production. Partner with OpenAI to evaluate and deploy next-generation voice models and workflow automation. Who you are 5+ years owning product strategy and execution for a technical product, ideally at an early-stage startup, where you worked hands-on enough with engineering to make technical tradeoff calls.
You've made a call between two valid technical approaches based on business impact, not just technical elegance, and can reason through why. You've tinkered with a new model within days of its release, and you can explain why one architecture or approach is superior to another. Experience putting LLM-based systems into production, including the unglamorous parts: evals, regressions, latency, cost, and failure-handling.
Our tech stack: TypeScript (Nest.js, React), GraphQL, AWS (ECS/EKS, Lambda), LLM models (OpenAI, Anthropic Claude, Google Gemini) We appreciate your interest and application; due to the volume of applications we receive, only applicants under consideration will be contacted. Please note: Jerry.ai is only able to hire full-time salaried employees who currently reside in AZ, CA, CO, FL, GA, IL, MA, NC, NJ, NV, NY, OR, TN, TX, UT, VA, or Ontario, Canada, and full-time hourly employees who currently reside in AZ, FL, GA, NV, NY, NC, TN, TX, UT, or VA.
Unfortunately, we cannot accept applications from candidates residing elsewhere at this time. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at [email protected] [email protected]