Technical Product Manager, AI Engineering & Systems
Jerry · Boston, MA · 5 days ago
RemoteRemoteMarketing$240/hrFull-time
About the role
Your scope will cover two layers: keeping the current AI platform running while driving the architectural decisions that determine its future state.
Responsibilities
- Learn the prompt engineering workflow through writing and updating prompts, understanding how our various tech stacks interact, and getting a ground-level view of where the bottlenecks are.
- Start owning the platform strategy: consolidate prompts from six locations onto a unified platform, sequence the work, align engineering, data, operations, and other teams on the plan, and drive execution.
- Own the technical prioritization queue, keep the team coordinated and moving without adding process overhead.
- Track voicebot and computer use closely enough to know when the technology crosses the threshold for serious investment.
- Own the OpenAI relationship and the Jerry presence in the ChatGPT store. Bring a point of view and influence our AI investment decisions.
Requirements
- 3+ years of experience in a technical role like forward deployed engineering, technical product management, or similar at a fast-paced startup.
- Passion and curiosity for AI systems including modern LLMs, etc.
- Track record of taking complex, strategic ideas and turning them into scalable, production-grade products.
Qualifications
- Technologist: Live and breathe AI. Read the release notes when a new model drops and build your own custom workflows.
- Systems Thinker: Comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience.
- Experimenter: Think only in terms of what's possible. AI is rapidly evolving, and you're constantly tinkering and finding new capabilities that didn't exist yesterday.
- Data-Driven: Familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses.
- Pragmatic: Navigate technical tradeoffs and lead by example when implementing AI platform standards.
Skills
- Experience with modern LLMs and their integration into AI platforms.
- Strong understanding of API design and system architecture.
- Ability to prioritize and execute on multiple projects simultaneously.
- Experience with OpenAI and other AI platforms.
Benefits
- Comprehensive benefits package including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits.
- Equity opportunities as part of your total rewards package.
Pay
The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on 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.
Schedule
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 are eligible for benefits.