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Job Details

- Job Title: Director of Product Design

- Industry: SAAS

- Function – Designer

- Experience Required: 7-10 years

- Working Days: 6 days

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Preferred Skills: Figma, WebGL, UX methodology, Product design, 3D tools

Criteria

Should have at least 7+ years of product design experience, including 2+ years in a design leadership or management role

Deep expertise in UX methodology: end-to-end design process from discovery through delivery and iteration

Mastery of Figma and modern design tooling

Experience designing complex, data-rich, or technical products - SaaS platforms, developer tools, or productivity applications

Candidates should be from SAAS/Software/IT Services based startups or scaleup companies only

Job Description

Role Overview:

Company is redefining how the world creates, experiences, and interacts with 3D and spatial content. We're looking for a visionary Director of Product Design to lead the design function at one of India's most ambitious spatial computing companies. This is not a role for someone who manages design from a distance — you will shape the design culture, drive the product experience across our AI-powered 3D platform, and get into the craft alongside your team.

You will own design strategy from first principles, working across the full spectrum of our product: from the initial blank canvas of a 3D scene editor to AI-assisted creation workflows, from enterprise dashboards to consumer-facing AR previews. You care deeply about how things feel, not just how they look — and you know that the best design decisions are rooted in user empathy, rigorous research, and iterative validation.

What you will own:

Design Vision & Strategy

● Define and own the product design vision across all of company’s surfaces — editor, platform, APIs, and consumer touchpoints

● Translate complex product and business goals into coherent, elegant design strategies that scale

● Drive a consistent, high-quality design language and evolve company’s design system as the product grows

● Lead long-term UX strategy for AI-native interaction paradigms — designing for uncertainty, latency, and generative outputs

● Establish and champion a design culture of rigour, craft, and user advocacy across the company

Team Leadership & People Management

● Hire, mentor, and grow a team of UX designers, UI designers, and user researchers

● Create clear growth paths and foster a feedback-rich culture that makes designers better every quarter

● Conduct regular design reviews, provide high-quality critique, and set the bar for what great looks like

● Partner with design leads to delegate ownership without losing coherence across the team's output

● Champion psychological safety and inclusion in design decision-making

Hands-On Design & Craft

● Lead design for flagship features and complex UX challenges — actively contributing wireframes, prototypes, and spec-ready flows

● Own the design of core 3D and AI-powered workflows: AI scene generation, asset manipulation, real-time previewing, and spatial editing

● Produce and review high-fidelity prototypes to validate interaction patterns before engineering investment

● Maintain and evolve company’s component library and design system in Figma, ensuring adoption across teams

● Design for accessibility (WCAG 2.1 AA) as a baseline standard, not an afterthought

User Research & Insight

● Define and drive a mixed-methods user research practice: usability testing, contextual inquiry, surveys, and analytics-led discovery

● Synthesize qualitative and quantitative signals into clear, actionable design insights

● Partner with PMs to establish success metrics for design: task completion, error rates, time-on-task, CSAT, and NPS

● Embed continuous feedback loops from production usage into the design iteration cycle

● Conduct competitive UX audits across 3D creation tools, AI productivity apps, and enterprise SaaS platforms

Cross-Functional Collaboration & Leadership

● Partner deeply with Product Management to co-own the product roadmap — design should shape prioritisation, not just execute it

● Collaborate with Engineering to ensure design feasibility, maintain quality during implementation, and influence frontend architecture decisions

● Communicate design decisions and tradeoffs clearly to executive stakeholders — with rationale grounded in user data

● Represent design strategy in investor, partner, and enterprise customer conversations

● Drive launch readiness from a design perspective: documentation, handoff quality, and post-launch design QA

Tools and Technical Stack:

Design & Prototyping

● Figma (primary) — components, auto-layout, variants, Dev Mode, and collaborative design workflows

● Framer, ProtoPie, or Principle for advanced interaction prototyping

● Adobe Creative Suite (Illustrator, Photoshop) for visual asset creation

● Spline or equivalent for 3D design exploration and web-ready 3D UI elements

Research & Testing

● UserTesting, Maze, Hotjar, or FullStory for usability testing and session analytics

● Dovetail or Notion for research synthesis and insight management

● Mixpanel, Amplitude, or PostHog for behavioural analytics and funnel analysis

Design Systems & Handoff

● Figma Tokens or Style Dictionary for design token management

● Storybook for design-engineering alignment on component behaviour

● Zeroheight or Notion for design system documentation

Collaboration

● Linear for project and sprint tracking

● Slack, Loom, and Notion for async communication and documentation

● GitHub (read-level comfort) — able to review implementation and file design-related issues

What we are looking for:

Must-Haves

● 7+ years of product design experience, including 2+ years in a design leadership or management role

● A portfolio that demonstrates both exceptional craft and strategic design thinking — at system level and interaction level

● Proven experience building and scaling design teams — hiring, mentoring, and growing designers at different career stages

● Deep expertise in UX methodology: end-to-end design process from discovery through delivery and iteration

● Mastery of Figma and modern design tooling — you are faster and more thorough with tools than most

● Strong written and verbal communication — you can defend design decisions with clarity and receive critique constructively

● Experience designing complex, data-rich, or technical products — SaaS platforms, developer tools, or productivity applications

● Track record of partnering with PMs and engineers at a senior level, influencing roadmap and technical decisions through design

● Comfort with ambiguity — you know how to make principled design decisions in fast-moving environments with incomplete information

Highly Desirable

● Experience designing 3D tools, WebGL interfaces, spatial computing products, or AR/VR applications

● Familiarity with AI-native product design — crafting UX for generative outputs, uncertainty states, and model latency

● Exposure to real-time or collaborative product experiences (e.g., Figma-like multiplayer, live preview environments)

● Background in e-commerce, retail tech, or product visualisation at scale

● Experience contributing to or building open-source design systems

● Prior startup experience: comfort with zero-to-one design at speed alongside structured scaling

● Basic front-end literacy (HTML/CSS/JS) — enough to understand implementation constraints and engage meaningfully with engineers

● Published writing, talks, or portfolio case studies that demonstrate thought leadership in UX or product design

Design Challenges you will Tackle:

● Designing intuitive UX for 3D scene editing — making spatial manipulation accessible to non-technical users without sacrificing power

● Building AI-native interaction patterns for generative 3D: prompt inputs, output previews, iteration loops, and error recovery

● Scaling a design system that works across a 3D web editor, a mobile AR viewer, an enterprise dashboard, and developer-facing APIs

● Designing for trust in AI-assisted workflows — where the model may produce surprising or imperfect outputs

● Balancing visual fidelity and real-time performance constraints in WebGL and spatial environments

● Creating design processes that support a fast-moving engineering team without becoming a bottleneck

● Establishing UX standards for a category that is still being defined — there are no obvious playbooks for AI-powered 3D creation

Why Join Company

● Own the entire design function — from team building to design culture to product craft — not just a slice of it

● Work at the frontier of 3D + AI, one of the most technically exciting intersections in consumer and enterprise software today

● Your design decisions are experienced by millions of customers and some of India's largest enterprise brands

● Collaborate directly with a senior team with deep domain expertise in 3D, AI, and spatial computing

● Access to frontier tools, real user data at scale, and the freedom to evolve how design works at company

● Direct collaboration with investors from NVIDIA, Microsoft, and Google

● A craft-forward culture where great design is celebrated and given the space and resources to be exceptional

Job Details

- Job Title: Senior Backend Engineer

- Industry: SAAS

- Function – Information Technology

- Experience Required: 5-8 years

- Working Days: 6 days a week, (5 days-in-office, Saturdays WFH)

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Preferred Skills: AWS, NodeJS, RESTful APIs, NoSQL

Criteria

· Minimum 5+ years in backend engineering with strong system design expertise

· Experience building scalable systems from scratch

· Expert-level proficiency in Node.js

· Deep understanding of distributed systems

· Strong NoSQL design skills

· Hands-on AWS cloud experience

· Proven leadership and mentoring capability

· Preferred candidates from SAAS/Software/IT Services based startups or scaleup companies

Job Description

The Role:

What You’ll Build:

1. System Architecture & Design

● Architect highly scalable backend systems from the ground up

● Define technology choices: frameworks, databases, queues, caching layers

● Evaluate microservices vs monoliths based on product stage

● Design REST, GraphQL, and real-time WebSocket APIs

● Build event-driven systems for asynchronous processing

● Architect multi-tenant systems with strict data isolation

● Maintain architectural documentation and technical specs

2. Core Backend Services

● Build high-performance APIs for 3D content, XR experiences, analytics, and user interactions

● Create 3D asset processing pipelines for uploads, conversions, and optimization

● Develop distributed job workers for CPU/GPU-intensive tasks

● Build authentication/authorization systems (RBAC)

● Implement billing, subscription, and usage metering

● Build secure webhook systems and third-party integration APIs

● Create real-time collaboration features via WebSockets/SSE

3. Data Architecture & Databases

● Design scalable schemas for 3D metadata, XR sessions, and analytics

● Model complex product catalogs with variants and hierarchies

● Implement Redis-based caching strategies

● Build search and indexing systems (Elasticsearch/Algolia)

● Architect ETL pipelines and data warehouses

● Implement sharding, partitioning, and replication strategies

● Design backup, restore, and disaster recovery workflows

4. Scalability & Performance

● Build systems designed for 10x–100x traffic growth

● Implement load balancing, autoscaling, and distributed processing

● Optimize API response times and database performance

● Implement global CDN delivery for heavy 3D assets

● Build rate limiting, throttling, and backpressure mechanisms

● Optimize storage and retrieval of large 3D files

● Profile and improve CPU, memory, and network performance

5. Infrastructure & DevOps

● Architect AWS infrastructure (EC2, S3, Lambda, RDS, ElastiCache)

● Build CI/CD pipelines for automated deployments and rollbacks

● Use IaC tools (Terraform/CloudFormation) for infra provisioning

● Set up monitoring, logging, and alerting systems

● Use Docker + Kubernetes for container orchestration

● Implement security best practices for data, networks, and secrets

● Define disaster recovery and business continuity plans

6. Integration & APIs

● Build integrations with Shopify, WooCommerce, Magento

● Design webhook systems for real-time events

● Build SDKs, client libraries, and developer tools

● Integrate payment gateways (Stripe, Razorpay)

● Implement SSO and OAuth for enterprise customers

● Define API versioning and lifecycle/deprecation strategies

7. Data Processing & Analytics

● Build analytics pipelines for engagement, conversions, and XR performance

● Process high-volume event streams at scale

● Build data warehouses for BI and reporting

● Develop real-time dashboards and insights systems

● Implement analytics export pipelines and platform integrations

● Enable A/B testing and experimentation frameworks

● Build personalization and recommendation systems

Technical Stack:

1. Backend Languages & Frameworks 

●  Primary: Node.js (Express, NestJS), Python (FastAPI, Django)

●  Secondary: Go, Java/Kotlin (Spring)

●  APIs: REST, GraphQL, gRPC

2. Databases & Storage

● SQL: PostgreSQL, MySQL

● NoSQL: MongoDB, DynamoDB

● Caching: Redis, Memcached

● Search: Elasticsearch, Algolia

● Storage/CDN: AWS S3, CloudFront

● Queues: Kafka, RabbitMQ, AWS SQS

3. Cloud & Infrastructure: 

● Cloud: AWS (primary), GCP/Azure (nice to have)

● Compute: EC2, Lambda, ECS, EKS

● Infrastructure: Terraform, CloudFormation

● CI/CD: GitHub Actions, Jenkins, CircleCI

● Containers: Docker, Kubernetes

4. Monitoring & Operations 

● Monitoring: Datadog, New Relic, CloudWatch

● Logging: ELK Stack, CloudWatch Logs

● Error Tracking: Sentry, Rollbar

● APM tools

5. Security & Auth

● Auth: JWT, OAuth 2.0, SAML

● Secrets: AWS Secrets Manager, Vault

● Security: Encryption (at rest/in transit), TLS/SSL, IAM

What We’re Looking For:

1. Must-Haves

● 5+ years in backend engineering with strong system design expertise

● Experience building scalable systems from scratch

● Expert-level proficiency in at least one backend stack (Node, Python, Go, Java)

● Deep understanding of distributed systems and microservices

● Strong SQL/NoSQL design skills with performance optimization

● Hands-on AWS cloud experience

● Ability to write high-quality production code daily

● Experience building and scaling RESTful APIs

● Strong understanding of caching, sharding, horizontal scaling

● Solid security and best-practice implementation experience

● Proven leadership and mentoring capability

2. Highly Desirable

● Experience with large file processing (3D, video, images)

● Background in SaaS, multi-tenancy, or e-commerce

● Experience with real-time systems (WebSockets, streams)

● Knowledge of ML/AI infrastructure

● Experience with HA systems, DR planning

● Familiarity with GraphQL, gRPC, event-driven systems

● DevOps/infrastructure engineering background

● Experience with XR/AR/VR backend systems

● Open-source contributions or technical writing

● Prior senior technical leadership experience

Technical Challenges You’ll Solve:

● Designing large-scale 3D asset processing pipelines

● Serving XR content globally with ultra-low latency

● Scaling from thousands to millions of daily requests

● Efficiently handling CPU/GPU-heavy workloads

● Architecting multi-tenancy with complete data isolation

● Managing billions of analytics events at scale

● Building future-proof APIs with backward compatibility

Why company:

● Architectural Ownership: Build foundational systems from scratch

● Deep Technical Work: Solve distributed systems and scaling challenges

● Hands-On Impact: Design and code mission-critical infrastructure

● Diverse Problems: APIs, infra, data, ML, XR, asset processing

● Massive Scale Opportunity: Build systems for exponential growth

● Modern Stack and best practices

● Product Impact: Your architecture directly powers millions of users

● Leadership Opportunity: Shape engineering culture and direction

● Learning Environment: Stay at the forefront of backend engineering

● Backed by AWS, Microsoft, Google

Location & Work Culture:

● Location: Bengaluru

● Schedule: 6 days a week, (5 days-in-office, Saturdays WFH)

● Culture: Builder mindset, strong ownership, technical excellence

● Team: Small, highly skilled backend and infra team

● Resources: AWS credits, latest tooling, learning budget

Description

Power BI JD

Mandatory:

• 5+ years of Power BI Report development experience.

• Building Analysis Services reporting models.

• Developing visual reports, KPI scorecards, and dashboards using Power BI desktop.

• Connecting data sources, importing data, and transforming data for Business intelligence.

• Analytical thinking for translating data into informative reports and visuals.

• Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI.

• Should have an edge over making DAX queries in Power BI desktop.

• Expert in using advanced-level calculations on the data set.

• Responsible for design methodology and project documentaries.

• Should be able to develop tabular and multidimensional models that are compatible with data warehouse standards.

• Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

• Experience working with Microsoft Business Intelligence Stack having Power BI, SSAS, SSRS, and SSIS

• Mandate to have experience with BI tools and systems such as Power BI, Tableau, and SAP.

• Must have 3-4years of experience in data-specific roles.

• Have knowledge of database fundamentals such as multidimensional database design, relational database design, and more

• Knowledge of all the Power BI products (Power Bi premium, Power BI server, Power BI services, Powerquery etc)

• Grip over data analytics

• Interact with customers to understand their business problems and provide best-in-class analytics solutions

• Proficient in SQL and Query performance tuning skills

• Understand data governance, quality and security and integrate analytics with these corporate platforms

• Attention to detail and ability to deliver accurate client outputs

• Experience of working with large and multiple datasets / data warehouses

• Ability to derive insights from data and analysis and create presentations for client teams

• Experience with performance optimization of the dashboards

• Interact with UX/UI designers to create best in class visualization for business harnessing all product capabilities.

• Resilience under pressure and against deadlines.

• Proactive attitude and an open outlook.

• Strong analytical problem-solving skills

• Skill in identifying data issues and anomalies during the analysis

• Strong business acumen demonstrated an aptitude for analytics that incite action

• Ability to execute on design requirements defined by business

• Ability to understand required Power BI functionality from wireframes/ requirement documents

• Ability to architect and design reporting solutions based on client needs.

• Being able to communicate with internal/external customers, desire to develop communication and client-facing skills.

• Ability to seamlessly work with MS Excel working knowledge of pivot table and related functions

Good to have:

• Experience in working with Azure and connecting synapse with Tableau

• Demonstrate strength in data modelling, ETL development, and data warehousing

• Knowledge of leading large-scale data warehousing and analytics projects using Azure, Synapse, MS SQL DB

• Good knowledge of building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

• Good to have knowledge of Supply Chain Domain.

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

JOB DETAILS:

- Job Title: Senior Business Analyst

- Industry: Ride-hailing

- Experience: 4-7 years

- Working Days: 5 days/week

- Work Mode: ONSITE

- Job Location: Bangalore

- CTC Range: Best in Industry

Required Skills: Data Visualization, Data Analysis, Strong in Python and SQL, Cross-Functional Communication & Stakeholder Management

Criteria:

1. Candidate must have 4–7 years of experience in analytics / business analytics roles.

2. Candidate must be currently based in Bangalore only (no relocation allowed).

3. Candidate must have hands-on experience with Python and SQL.

4. Candidate must have experience working with databases/APIs (Mongo, Presto, REST or similar).

5. Candidate must have experience building dashboards/visualizations (Tableau, Metabase or similar).

6. Candidate must be available for face-to-face interviews in Bangalore.

7. Candidate must have experience working closely with business, product, and operations teams.

Description

Job Responsibilities:

● Acquiring data from primary/secondary data sources like mongo/presto/Rest APIs.

● Candidate must have strong hands-on experience in Python and SQL.

● Build visualizations to communicate data to key decision-makers and preferably familiar with building interactive dashboards in Tableau/Metabase

● Establish relationship between output metric and its drivers in order to identify critical drivers and control the critical drivers so as to achieve the desired value of output metric

● Partner with operations/business teams to consult, develop and implement KPIs, automated reporting/process solutions, and process improvements to meet business needs

● Collaborating with our business owners + product folks and perform data analysis of experiments and recommend the next best action for the business. Involves being embedded into business decision teams for driving faster decision making

● Collaborating with several functional teams within the organization and use raw data and metrics to back up assumptions, develop hypothesis/business cases and complete root cause analyses; thereby delivering output to business users

Job Requirements:

● Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field.

● Around 4-6 years of experience being embedded in analytics and adjacent business teams working as analyst aiding decision making

● Proficiency in Excel and ability to structure and present data in creative ways to drive insights

● Some basic understanding of (or experience in) evaluating financial parameters like return-on-investment (ROI), cost allocation, optimization, etc. is good to have

👉 ● Candidate must have strong hands-on experience in Python and SQL.

What’s there for you?

● Opportunity to understand the overall business & collaborate across all functional departments

● Prospect to disrupt the existing mobility industry business models (ideate, pilot, monitor & scale)

● Deal with the ambiguity of decision making while balancing long-term/strategic business needs and short-term/tactical moves

● Full business ownership working style which translates to freedom to pick problem statements/workflow and self-driven culture

Review Criteria

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

• Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Job Specific Criteria

• CV Attachment is mandatory
• How many years of experience you have with Dremio?
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate

• Bachelor’s or master’s in computer science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Looking for technically skilled candidates with excellent interpersonal skills for the technical support position. Technical support officers troubleshoot technical issues, provide timely customer feedback, and support the roll-out of new applications, among other duties.

Moreover, technical support officers need to talk to customers directly, as well as create written documentation, requiring excellent written and verbal communication.

Responsibilities:

• Identifying hardware and software solutions.
• Troubleshooting technical issues.
• Diagnosing and repairing faults.
• Resolving network issues.
• Installing and configuring hardware and software.
• Speaking to customers to quickly get to the root of their problem.
• Providing timely and accurate customer feedback.
• Talking customers through a series of actions to resolve a problem.
• Following up with clients to ensure the problem is resolved.
• Replacing or repairing the necessary parts.
• Supporting the roll-out of new applications.
• Providing support in the form of procedural documentation.
• Managing multiple cases at one time.
• Testing and evaluating new technologies.
• Conducting electrical safety checks on equipment.

Requirements:

• Degree in computer science or information technology.
• Certification in Microsoft, Linux, or Cisco is advantageous.
• Prior experience in tech support, desktop support, or a similar role.
• Proficiency in Windows/Linux/Mac OS.
• Experience with remote desktop applications and help desk software.
• Attention to detail and good problem-solving skills.
• Excellent interpersonal skills.
• Good written and verbal communication.

Seeking a detail-oriented Market Research Analyst to conduct surveys and analyze customer preferences and statistical data. Your role will involve providing valuable insights to support customers in their decision-making processes related to product designs, pricing, and promotions. As a successful Market Research Analyst, you will have the ability to independently analyze qualitative data, identify trends, assess strategies, and evaluate competition, with the ultimate goal of enhancing competitiveness. Your responsibilities will include gathering and interpreting market research data, generating reports, and presenting findings to stakeholders. We are looking for a self-motivated professional with strong analytical skills and a deep understanding of market dynamics. Join our team and contribute to our company’s success by helping us make data-driven decisions to optimize our products and strategies.

We are looking for an experienced Media and PR Specialist who can help us elevate our brand presence and manage our media relations. The ideal candidate should have a proven track record in the B2B events industry and possess a deep understanding of media strategy and public relations.

Responsibilities & Scope of Work:

1. Media Strategy: Develop and execute a comprehensive media strategy to enhance our brand visibility and reputation within the industry.

2. Press Releases: Draft compelling press releases and news articles to announce company milestones, event launches, and other newsworthy developments.

3. Media Relations: Build and maintain strong relationships with key media outlets, journalists, and industry influencers.

4. Content Creation: Create engaging and informative content for various media channels, including social media, newsletters, and the company blog.

5. Event Promotion: Collaborate with the marketing team to promote our events through media channels, securing coverage and partnerships.

6. Analytics: Monitor and report on media coverage and PR efforts, providing insights and recommendations for continuous improvement.

Requirements and Qualifications

• Bachelor's degree in Communications, Public Relations, or a related field.
• 2+ years of experience in media relations and PR, preferably in the B2B events industry.
• Proven success in securing media coverage and building media relationships.
• Exceptional written and verbal communication skills.
• Strong organizational and project management abilities.
• Proficiency in PR software and analytics tools.
• Creative thinking and the ability to generate innovative PR ideas.

Job Type:

1. Full time & On-site

2. 5 day work week

Location: Bangalore/Mangalore

Role & Responsibilities

This role will be leading analytics at WarehouseNow. You will be expected to drive data driven decision making with senior management and own product metrics

• Develop an In-depth understanding of user journeys on WarehouseNow Platforms and generate data driven insights & recommendations to help product business in meticulous decision making.
• End-to-end ownership of key metrics, work with respective product owners to understand areas we need to measure and ensure the needle is moving in the right direction.
• Develop strong hypothesis, execute A/B experiments and identify area of opportunities with strong confidence level.
• Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations
• Identify and implement streamlined processes for data reporting, dashboarding and communication
• Collaborate with Product for data tracking and implementation of tools like Google analytics, Firebase, etc. 

Key Competencies

• 3+ years of experience in core business analytics/product analytics.
• Excellent SQL, Excel abilities with working knowledge of scripting (Python, R, shell etc.)

• Background in Engineering /Statistics/Operational Research
• Bonus: Prior experience in a B2C Company

• Support the transition by planning and overseeing the transfer of members from one location to another, including but not limited to operational readiness, support documentation, knowledge transfer and acceptance checklists
• Support in ensuring transition activity is planned and executed to schedule, budget and scope
• Support in establishing transition end to end plans including infrastructure support models, change management, risk assessment and mitigation, resource planning and service management with clear tollgates
• Liaise with transition lead on milestone scheduling, knowledge transfer activities, and communication of progress (KPIs)
• Keep stakeholders involved in transition process and update them with the progress and roadblocks
• Promote awareness of transition planning and support processes within the GCC
• Support the Transition Lead to source and assess opportunities to expand the centre (including assessment of Make vs. Buy, offshore / on shore)
• Work directly with third party resources on a day-to-day basis to support the transition process during the set-up of the GCC

Skills:

• Proven knowledge of service transition methodology, tools and templates through experience or qualifications
• The ability to identify, escalate and manage project risks with the Transition Lead
• 3+ years of experience transitioning / offshoring / outsourcing projects / functions across sub processes such as Biostatistics, reg. affairs, clinical ops, drug safety, medical Governance, strategy and planning, pharma covigilance
• Good exposure in previous roles to multi-cultural, transversal functions
• Pharma background with experience across the systems development life cycle with experience in different project phases
• Excellent written and verbal communication skills – must be able to communicate fluently in English both verbally and in writing

• Own overall relationship with assigned clients, which include: Increasing adoption, ensuring retention, and satisfaction.
• Work with the internal delivery team to ensure delivery quality to exceed client's expectations.
• Establish a trusted/strategic advisor relationship with each assigned client and drive continued value of our products and services.
• Develop, prepare, and nurture customers for testimonials, references and case studies.
• Work with clients to establish critical goals, or other key performance indicators and aid the customer in achieving their goals.
• Work to identify and/or develop upsell opportunities.
• Ensure billing and collection of the assigned accounts is under control.
• Advocate customer needs/issues cross-departmentally.
• Manage account escalations.

• Proven ability to drive continuous value of solutions/products.
• Familiarity working with clients of all sizes.
• Impeccable written and verbal communication skills.
• Detail oriented and analytical.
• Strong team player but still a self-starter.
• Thrives in a multi-tasking environment and can adjust priorities quickly.