Hybrid Data Manager Data Manager

At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands.

Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network

.
Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks), and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast-growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in A

I.
Want to become a key part of the Generative AI revolution? We should ta

lk.
Netomi is seeking a highly analytical and detail-oriented manager to join the Analytics team. As part of the team, you will work with product, engineering, and customer success teams to drive complex data and trend analyses to propose ways to improve and, thereby contributing to improve the experience. You will also be responsible for benchmarking and measuring the performance of various product operations projects, building and publishing detailed scorecards and reports, identifying and driving new opportunities based on customer and business d

ata.
We are looking for a Manager with a passion for using data to discover and solve real-world problems. You will enjoy working with rich data sets, modern business intelligence technology, and the ability to see your insights drive the feature development for our customers. You will also have the opportunity to contribute to the development of policies, processes, and tools to address product quality challenges in collaboration with t

eams.
Job Responsibil

• ities:
  Planning, design, and execution of SOA backend platforms. Mostly around REST-ba
• sed WebBuild frameworks using JAVA (Spark, Sprin
• g, ORM)High-level and Low-level design of the highly scalable com
• ponentsTrack defects and work with business owners and users to triage bugs and manage a
• backlogTaking care of Nonfunctional requirements like Scale/ High Availability/Performance/S
• ecurityBuild/Deployments/DevOps-related work
• on AWSWorks collaboratively in a multi-disciplinary team environment; establishes and maintains professional networks with subject matter
• expertsBe the key technical advisor to define the roadmap of
• projectLead teams of talented engineers and coach them to their full pot
• ential.As you will be managing the analytics team, you are required to manage the dynamics of the requirements, prioritization, and del
• iveriesGive growth charter to the team members and conduct 1-1 / feedback/ap
• praisalLead by example in software development best practices, agile development, and cross-team collabo
• ration.Bring in and influence engineering optimi
• zationsWork with Product Managers and partners to define business ro
• admaps.Work with architects and fellow engineers to define technical architectures and execution
• plans.Execute business and technology roadmaps by collaborating with other engineering
• teams.Be accountable for the outcomes, measured by appropriate
• metricsDrive product vision and s

trategy
Requi

• rements:
  7+ years’ Experience preferred.B.Tech/M.Tech in Computer Science or relate
• d fields.4+ years of people management ex
• perience.2+ years of recent full-stack development ex
• perience.Extensive experience running teams in an agile env
• ironment.Deep experience with the full software development li
• fe cycle.AWS Aurora, Kafka, and MWAA experience
• requiredProficient with mainstream full-stack technologies such as Java, Spring boot, RDBMS, NoSQL, ElasticSearch, Node.js, and JS frameworks (React, Vue
• .js, etc)Strong experience with AWS cloud tech
• nologies.Strong Analytical skills – can ask the right questions, analyze data, conclude by making appropriate as
• sumptionsOrganization skills – demonstrated ability to work independently to make complex inves
• tigationsWorking experience on asynchronous messaging systems li
• ke Kafka.Strong ability in architectural design and di
• scussion.Proven ability to manage multiple, competing for priorities simult
• aneously.Excellent communication skills to convey technical insights to a non-technical

audience
Go

• od To Have
  Proficiency in SQL and Advanced Excel (Array and Statistica
• l formulas)Prior data mining, DW / BI
• experienceKnowledge of BI & statistical tools such as Power BI, SQL & ETL
• DW conceptsAutomate the report generation process through the use of BI tools and programming techniques: such as SQL,
• DW conceptsGood knowledge of R, and
• ML modelingUnderstanding visualization tools such as PowerBI, Tableau, Datazen, and SSR
• S is a plusExperience with modern Data warehousing solutions such as AWS Redshift, Snowflake, G