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! : :

• 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.

Requirements

• 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.

(ref:hirist.tech)