Job Description

Job Description

Duration: 4 months

Job Description:

• In this role, you will develop and execute research programs that inform strategy across client Cloud’s Applied AI products. You will partner closely with UX, PM, Engineering, and Data Science to define priorities, uncover user needs, and guide product vision in fast-moving 0→1 environments as well as large-scale enterprise settings.
• Our ideal candidate brings strong product sense, deep expertise in mixed-methods research, and the ability to translate technically complex AI use cases into clear, actionable insights. You excel at simplifying data-rich workflows and advocating for user value through compelling storytelling.

Responsibilities:

• Define and drive cohesive, holistic research programs that guide product strategy across the Applied AI portfolio.
• Lead primary research efforts including field studies, interviews, surveys, logs analysis, and metrics programs.
• Contribute to product and research roadmaps; manage complex project timelines and ensure on-time delivery.
• Partner closely with UX, PM, Engineering, and Data Science to align on priorities in a rapid, dynamic environment.
• Develop a deep understanding of client Cloud Applied AI products, technical architectures (Cloud, APIs, LLMs), user motivations, and business opportunities.
• Translate complex workflows into clear insights and recommendations that influence product direction.
• Communicate research findings effectively through reports, presentations, and cross-functional workshops.
• Help establish and scale best practices for high-quality qualitative and quantitative research across the team.

Experience:

• Expertise conducting interviews, field studies, surveys, logs analysis, and Customer Journey (CUJ) instrumentation.
• Strong understanding of mixed research methods, with clarity on when and how to apply each during different product phases.
• Ability to synthesize and communicate complex technical concepts including Cloud infrastructure, APIs, and large language models.
• Experience researching enterprise products or technically complex domains.
• Excellent leadership, communication, and cross-functional collaboration skills.
• Proven success in both 0–1 product environments and scaling research practice in large enterprises.

Skills:

• Mix-Method Research
• Gen-AI
• Interviews
• LLM

Education:

• Bachelor’s degree in a quantitative field

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Recruiter Details:

Name: Karan Madan

Email: Karanm@ustechsoluionsinc.com

Internal Id: 25-52758

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