Bengaluru, Karnataka, India · On-site
In this role, you’ll team up with experienced analysts and collaborate across departments to explore and make sense of large datasets. You’ll get hands-on practice with collecting and cleaning data, building clear visual…
Skills: Sql, Python, Data Visualization, Statistical Analysis, Exploratory Data Analysis
Palo Alto, California, United States · On-site
About The Role We’re looking for a Senior Technical Product Marketing Manager who can translate cutting-edge speech AI innovation into meaningful business value. This person will serve as the connective tissue between Pr…
Skills: Product Positioning, Messaging, Go-to-Market Strategy, Competitive Analysis, Technical Storytelling
Palo Alto, California, United States · On-site
About the Role Language Translation is one of Sanas's most exciting and fastest-growing product lines. We're looking for a Research Engineer who can both set technical direction and get deep in the modeling work — someon…
Skills: Machine Translation, Natural Language Processing, PyTorch, Python, Neural MT Architectures
Palo Alto, California, United States · On-site
About the Role Our models are only as good as the data that trains them. As a Staff Data Engineer, you'll own the infrastructure that takes raw audio — millions of hours across accents, languages, noise conditions, and r…
Skills: Data Pipeline Design, Lakehouse Architecture, Spark, Flink, Ray
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Collaborate with cross-functional teams to collect, clean, and analyze large datasets to drive business strategies. Build and maintain dashboards and reports to track key performance indicators and present findings to stakeholders.
Candidates should be pursuing or hold a degree in Data Science, Statistics, Computer Science, or Engineering with proficiency in SQL and Python. Basic knowledge of BI tools and a strong foundation in statistical concepts are required.
In this role, you’ll team up with experienced analysts and collaborate across departments to explore and make sense of large datasets. You’ll get hands-on practice with collecting and cleaning data, building clear visualizations, and helping create reports that highlight opportunities and drive smarter strategies.
You will work with real-time industry data, giving you practical exposure to how insights are applied in real business environments. You’ll also gain an inside look into how the Customer Experience (CX) industry works and see firsthand how being data-driven helps companies grow, improve operations and serve customers better. You will strengthen your skills in SQL, statistical analysis, and data visualization tools.
Key Responsibilities:
● Work with cross-functional teams to collect, clean, and organize large datasets.
● Perform exploratory data analysis (EDA) to identify patterns, trends, and insights that support business decisions.
● Build and maintain dashboards, reports, and visualizations to track key metrics and performance indicators.
● Assist in developing data pipelines and integrating data from multiple sources, including APIs.
● Support in applying statistical methods and data-driven techniques to solve real business problems.
● Handle ad hoc data requests by exploring available datasets and applying the right analytical techniques.
● Collaborate with multiple teams to present findings in a clear, structured way to both technical and business audiences.
● Stay up to date with the latest AI tools and industry trends, experimenting with ways they can be applied to improve analysis and reporting.
Must-Have Qualifications:
● Currently pursuing or Recently Passed a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
● Strong problem-solving skills, solid foundation in data analysis techniques and statistical concepts.
● Hands-on experience with SQL and at least one programming language for data analysis (Python preferred).
● Basic understanding of data visualization tools such as Tableau, Power BI, or Metabase.
● Ability to work with large datasets, including collecting, cleaning, and organizing data for analysis.
● Familiarity with APIs and interest in leveraging AI tools as well as staying updated with the latest AI and industry trends.
● Effective communication skills to clearly present ideas and insights to technical and leadership teams.
Preferred Qualifications:
● Prior internship or project experience working with real-world datasets.
● Strong skills in Excel/Google Sheets for quick data manipulation and reporting.
● Familiarity with cloud platforms (AWS, GCP, or Azure) for data storage and analytics.
● Experience building dashboards or interactive reports using BI tools.
● Exposure to API integrations and automation workflows.
● Creative mindset on data visualization and ability to do data story telling.
● A proactive attitude, with the ability to work independently as well as in a team setting.
Joining us means contributing to the world’s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike.
Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. You'll be part of a team exploring the vast potential of an increasingly sonic future.
If it's Speech, it's Sanas.
Sanas is the world's first and most trusted real-time Speech AI platform. We are the real-time speech layer for the modern world, making conversations between people clear, natural, and scalable.
Offices: 585 Hamilton, Palo Alto, California 94301, US
If it's Speech, it's Sanas.
Sanas is the world's first and most trusted real-time Speech AI platform. We are the real-time speech layer for the modern world, making conversations between people clear, natural, and scalable.
Offices: 585 Hamilton, Palo Alto, California 94301, US
