Book meetings with target accounts through phone, LinkedIn, and email outreach.
Prioritize cold calling, with a minimum of 100 dials a day.
Write manual, personalized outreach when an account calls for it.
Qualify meetings and brief Account Executives on the prospect’s pain, stakeholders, and timeline.
Log every call, disposition, and next step in HubSpot.
Share call insights about copy, outbound approach, and channels, and recommend changes.
Lead GenerationHubSpot
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About Great Question
Great Question empowers over 300 teams, including industry leaders like Gusto and Canva, to truly understand their customers. They provide an all-in-one AI customer research platform. You can recruit participants, run various research methods, and synthesize insights seamlessly. Their platform handles everything from building participant panels to distributing incentives globally. AI-powered tools automate transcription, generate summaries, and moderate studies. This allows teams to gain consumer insights faster and more effectively.
How We Work
Great Question operates with a remote-first philosophy, emphasizing high trust and high autonomy. You will find a culture valuing customer obsession and continuous improvement. Collaboration happens with core hours set to Pacific Standard Time, ensuring effective teamwork across distances. They foster an environment where your voice is heard, and you are empowered to do your best work.
Engineering at Great Question
Engineers at Great Question are pioneering the future of AI-driven customer research. You will build and iterate on cutting-edge AI systems, including LLM pipelines, agents, and retrieval systems. The team focuses on creating production-quality code and driving state-of-the-art AI practices. You can expect to work with Python/Javascript/Ruby and Git, solving complex challenges like semantic search across vast interview data. They embrace experimentation and lean into AI as a multiplier for creativity and scale.
Why Join Us
Shape a critical business function by building AI features that launch to real users.
Work in a remote-first culture emphasizing high trust, autonomy, and emotional intelligence.
Collaborate with a team that encourages AI experimentation across all disciplines.
Receive mentorship and own projects from scoping to production-ready code.
Benefit from competitive compensation, equity, and opportunities for continuous learning.