Product Design Researcher | Bangalore - India; Office
Listed on 2026-03-13
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IT/Tech
Product Designer, Data Scientist, Data Analyst, Data Science Manager
Cohesity is the leader in AI‑powered data security. Over 13,600 enterprise customers, including more than 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas’ enterprise data protection business, the company’s solutions secure and protect data on‑premises, in the cloud, and at the edge.
Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe.
We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design, and our culture.
Want to join the leader in AI‑powered data security?We are committed to your professional growth and leadership journey. Product Design Researchers in this role have the opportunity to rotate through diverse product teams, gain exposure to both foundational and tactical research, and participate in company‑wide learning programs. Many researchers have gone on to lead product discovery initiatives, mentor new team members, and represent Cohesity in global research communities. Whether you aspire to deepen your craft, take on mentorship, or pilot new innovations, you’ll be encouraged and supported every step of the way.
HOWYOU’LL SPEND YOUR TIME HERE
Designing and executing rapid qualitative and quantitative studies—including usability testing, design validation, and behavioral analytics—to deliver actionable insights at speed.
Taking hands‑on ownership of product health and satisfaction metrics (Mixpanel, NPS, CSAT) and translating them into measurable product and business improvements.
Establishing and maintaining customer feedback loops; collaborating closely and remotely with cross‑functional teams to iterate on solutions rooted in real user needs.
Synthesizing research into personas, journey maps, value canvases, and other strategic deliverables; ensuring research directly supports roadmap and business KPIs.
Facilitating collaborative workshops (e.g., Design Sprints), and sharing findings in compelling, succinct stories that influence teams and leadership.
Mentoring and upskilling colleagues, streamlining research processes, and supporting a culture of continuous discovery, rapid iteration, and inclusive design thinking.
Generate and communicate impactful insights through research sprints, usability studies, and fast analysis of customer and product data.
Track and report experience metrics, connecting analytics to product‑market fit, feature adoption, and customer retention.
Participate in remote and cross‑team workshops, advancing validated solutions quickly and efficiently.
Document and share research that influences both short‑term deliverables and long‑term strategic vision.
Foster a learning environment by mentoring peers, establishing best practices, and championing inclusive, accessible research.
WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING5+ years in digital product, web, mobile, or enterprise UX research or design, with a portfolio showing business and product impact.
Proficiency in qualitative and quantitative methods: interviews, usability testing, behavioral analytics, and tools (e.g., Mixpanel, NPS, Figma, Adobe Creative Suite, Survey Monkey).
Strong storytelling and communication skills, able to deliver insights to stakeholders at all levels.
Experience with ongoing feedback loops, cross‑functional remote collaboration, and rapid prototype validation.
Strong planning, organization, and adaptability in a dynamic environment.
Knowledge of accessibility and inclusivity in research/design.
Demonstrated experience leveraging AI tools to streamline workflows, enhance productivity, and support high‑quality decision‑making.
Advantageous ExperienceAdvanced degree in HCI, Industrial Design, Behavioral Science, or related field.
Mentorship or experience building/scaling research culture.
Experience in enterprise SaaS, cybersecurity, or data management.
Familiarity with frameworks and mindsets from leading product discovery literature (e.g.,…
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