SciSpace - AI Product Manager - LLM Models

The ideal candidate is self-motivated, empathetic, passionate about helping others, can communicate effectively with diverse groups and has a desire to build a positive relationship with our users.

Knowledge of Research writing is not a must; however, applicants interested in the domain are encouraged to apply! : )

Responsibilities :

- Own the SciSpace Agent for Research Workflows end-to-end. Define vision, strategy, and roadmap for an AI agent that assists researchers.

- Build a modular, extensible agent platform that works across multiple research domains and user segments.

- Lead cross-functional execution across engineering, NLP, design, growth, and data teams to deliver an agent-first research experience.

- Do prompt engineering and evals for agentic systems.

- Translate ambiguous user problems into structured product requirements and intelligent system behaviors.

- Continuously refine the agent through user insights, experimentation, and iterative learning loops.

- Work closely with software development teams on defining, designing, and delivering high-quality products; provide feedback on architecture, design, and priorities.

- Interact with the design team to convert product requirements into actionable prototypes.

- Closely work with engineering to flush out the product requirements into clear executable tasks with quick time-to-market and optimal resources.

- Use a combination of outstanding analytical skills, business judgment, and strategic thinking to innovate and create world-class experiences.

- Take initiative. Don't wait to be asked. Plans efficiently while avoiding analysis paralysis.

- Proactively filling communication gaps amongst all team members - We believe good communication solves half the problem.

- 4+ years of relevant work experience in software development in technical leadership, product management, or similar roles.

- Must possess a strong understanding of LLMs, agentic systems, orchestration, and modern AI architectures.

- Have experience with prompt engineering, fine-tuning, and AI evaluation techniques.

- Experience leading product design through the entire lifecycle, from concept and wireframes to MVP and final release.

- Hands-on experience with LLM-based agent frameworks (LangChain, LangGraph, or equivalent).

- Be comfortable defining and optimizing system-level metrics such as accuracy, completion rate, latency, and user trust.

- Experience working with engineering teams to define, scope, and prioritize product requirements.

- Experience leading cross-functional teams to deliver products and projects on tight deadlines.

- Strong problem-solving skills and willingness to roll up one's sleeves to get the job.

- Communicate clearly and persuasively, with the ability to drive alignment and decision-making at multiple levels.

- MS/BS degree in Computer Science, Engineering or equivalent preferred.