SAP EWM

Role Overview

We are looking for a Product Manager who has worked in SaaS or software product-based companies, understands cloud environments, and actively uses AI tools to improve product decisions and execution.

This role requires someone who can own the product end-to-end, from idea to launch and continuous improvement.

Key Responsibilities

• Own the product lifecycle: planning, development, launch, and iteration
• Define product requirements (PRDs) and clear user stories
• Work closely with engineering, design, and business teams
• Understand customer needs and translate them into product features
• Manage and prioritize the product roadmap
• Track product performance using data and analytics
• Drive feature releases and improvements based on feedback
• Ensure smooth coordination between tech and business teams
• Work with cloud-based systems and understand product architecture basics
• Use AI tools for research, documentation, analysis, and productivity

Required Skills

• Experience in SaaS or software product companies (must)
• Strong understanding of cloud platforms (AWS / GCP / Azure basics)
• Hands-on usage of AI tools (ChatGPT, Claude, Notion AI, etc.)
• Ability to write clear PRDs and user stories
• Strong problem-solving and decision-making skills
• Good communication and stakeholder management
• Basic understanding of APIs, integrations, and product workflows
• Data-driven thinking (metrics, dashboards, user behavior)

Must Have

• Experience with B2B SaaS products
• Exposure to analytics tools (Mixpanel, GA, Amplitude)
• Understanding of Agile/Scrum methodologies

Candidate Profile

• 2–5 years of relevant product management experience
• Has worked in fast-paced product environments
• Self-driven and able to take ownership without constant guidance
• Comfortable working with ambiguity and solving real problems

Key Outcome Expectations

• Deliver features on time with clear impact
• Improve user experience and product adoption
• Make data-backed product decisions
• Drive measurable product growth

Role Overview:

We’re hiring a WebGL/Three.js Engineer who is passionate about 3D rendering and browser-based visual experiences. This is a hands-on WebGL/Three.js role where you’ll own the rendering pipeline - from 3D asset ingestion to advanced shaders and real-time lighting.

You will build high-performance, photorealistic, and smooth 60fps experiences across devices, crafting custom rendering solutions that push the limits of WebGL.

What You’ll Build:

1. 3D Rendering & Visualization:

• Develop and optimize real-time 3D viewers running at 60fps across all devices
• Implement advanced rendering: PBR, IBL, shadows, reflections
• Create custom shaders for metals, glass, fabrics, transparency, and complex materials
• Build dynamic lighting systems for photorealism
• Implement AR placement and real-world environmental rendering
• Add post-processing effects: bloom, AO, depth of field, color grading
• Build interactive 3D configurators with real-time customization

2. Performance Optimization:

• Optimize 3D asset loading for near-instant initial render
• Implement LOD systems, shader optimization, and efficient resource usage
• Use compression pipelines: geometry, textures, KTX2/Basis
• Implement frustum & occlusion culling, instancing, and batching
• Profile GPU memory, draw calls, and shader performance
• Build adaptive quality settings based on device capabilities

3. 3D Asset Pipeline & Tools:

• Build loaders/parsers for glTF, USDZ, OBJ, FBX
• Implement asset optimization: UV mapping, normal maps, texture atlasing
• Create mesh-processing tools: decimation, smoothing, tangents
• Build progressive loading, caching, and streaming systems
• Develop debugging and visualization tools for asset inspection

4. Interactive Controls & UI Features:

• Implement camera systems: orbit, pan, zoom, animated transitions
• Build gestures for mobile: pinch, rotate, drag
• Create 360° product viewers with fluid interactions
• Add hotspots, annotations, measurement tools, and view presets
• Enable screenshot and recording functionalities

5. WebXR & AR Experiences:

• Implement WebXR VR/AR experiences directly inside browsers
• Build AR Quick Look integration for iOS
• Integrate AR.js / 8th Wall for seamless web AR
• Implement environment lighting estimation and hit testing
• Build cross-platform AR for iOS + Android

6. Graphics Systems Architecture:

• Architect custom WebGL rendering solutions from scratch
• Build material/shader libraries and rendering modules
• Create scene graph management systems
• Build modular systems with reusable rendering utilities
• Design APIs for frontend integration and customization

Technical Stack:

1. Graphics & Rendering:

• WebGL 1.0/2.0, OpenGL ES, GLSL
• 3D formats: glTF 2.0, USDZ, OBJ, FBX, Collada
• Tools: Blender, RenderDoc, Spector.js
• Texture tools: Sharp, ImageMagick, compression utilities

2. Frontend & Web:

• JavaScript / TypeScript
• React, Next.js, familiarity with Vue
• Webpack, Vite, Rollup
• Jest, Cypress

3. Performance:

• Chrome DevTools, WebGL Inspector, GPU profilers
• Draco, meshoptimizer, KTX2/Basis
• Cloudflare, AWS CloudFront

4. Collaboration:

• Git/GitHub
• Technical documentation: shaders, specs, APIs

What We’re Looking For:

1. Must-Haves:

• 5-8+ years in graphics programming with deep WebGL/Three.js knowledge
• Strong understanding of the full rendering pipeline
• Expert in GLSL: vertex, fragment, compute shaders
• Mastery of PBR, material systems, and physically accurate lighting
• Proven experience building high-performance 3D web apps
• Strong JavaScript/TypeScript skills
• Solid understanding of 3D math: matrices, vectors, quaternions
• Experience with 3D formats, UV mapping, texture workflows
• Ability to debug GPU issues and optimize across browsers/devices
• Ability to build custom WebGL engines from scratch

2. Highly Desirable:

• Experience with Three.js/Babylon.js (plus, not required)
• E-commerce and 3D configurator experience
• WebXR development experience
• Strong mobile optimization knowledge
• Experience with GPU compute, GPGPU
• Familiarity with Unity/Unreal internals
• Background in advanced rendering research
• Knowledge of ray tracing, path tracing
• Experience with photogrammetry or 3D scanning
• Open-source graphics contributions

Technical Challenges You’ll Tackle:

• Achieving photorealistic 60fps rendering on mobile browsers
• Sub-second loading for complex 3D models
• Realistic shaders for different materials (jewelry, fabric, metal, glass)
• Adaptive rendering across low-end to high-end devices
• Seamless AR blending of virtual + real environments
• Managing thousands of product SKUs with diverse materials
• Debugging GPU issues across browsers, devices, and GPU vendors

Why Join the Company:

• Pure graphics engineering — not generic frontend work
• Solve deep rendering challenges that push WebGL limits
• Create visually stunning work seen by millions
• Work with modern WebGL 2.0 capabilities
• Freedom to experiment with advanced graphic techniques
• High-performance engineering culture
• Your rendering work directly influences customer engagement
• Access to high-end GPUs, devices, and graphics tools
• Backed by NVIDIA, Microsoft, Google

Location & Work Culture:

• Bengaluru (HSR Layout)
• 6 days a week, (5 days-in-office, Saturdays WFH)
• Culture: performance-focused, graphics craftsmanship, high attention to detail
• Small, senior engineering team with deep expertise
• Access to GPUs, testing devices, and 3D tools

 Fresher Most Welcome (Education Background – Marketing only)

 Must have Good Knowledge with Marketing

 Must have Knowledge with Product Sales

 Experience with Product Sales or Marketing (Plus Point)

We're hiring at Octobotics! You will be a member of our robotics team. As a Robotics Engineer Intern, you will be responsible for engineering solutions to automation problems alongside the product development team. You can expect to co-craft innovative automated solutions and interfaces with C++/python, test third-party embedded modules in real-world scenarios, and use these experiences to pioneer the company's pioneering robotics platforms. 

The candidate should have above-average Linux skills. With experience using ROS and a comprehensive grasp of robotics fundamentals, the candidate should be able to deliver efficient and reliable code. The candidate should be able to work with vision systems and hardware like motor and controller systems, sensors, microcontrollers, communication protocols such as Ethernet or Modbus.

The candidate must be comfortable working in a dynamic environment with prototypes arising mid-project, and the discovery of new areas requiring attention at any given time is required.

Ways To Stand Out From The Crowd: 

• A Bachelor's degree in Robotics, Computer Science, Mechanical Engineering, or Electrical Engineering.
• Understand Computer Fundamentals - Compilers, linkers, Cmake.
• Understand DSA - Topcoder, CodeChef, HackerRank.
• SLAM ( Graph SLAM, Lidar based Localization )
• Use Rviz & Gazebo.
• Use Git - Add, Commit, Push. 

About Us:

We are working on next-generation maritime and aerial robotics for the future. We are developing the first Marine & Aero Robotic Platform in the World with Modular Manipulators for Autonomous Inspection & NDT even on heavily corroded surfaces (Matured Technology)/Eddy Current/Other NDT Techniques. We are a close-knit group of dreamers and doers who are willing to take risks, think outside the box, and try to accomplish the seemingly impossible.

We are ready to push the boundaries and are looking for people who want to be a part of this exciting journey. We may not promise the moon, but we will try our best to provide a conductive, non-toxic environment within a flat organization where "Every Opinion Matters." 

Octobotics Tech raised its pre-Seed round from a Hong Kong-based investor and is now hiring our very first few members of the Octobotics Tech family.

About us

Skit (previously known as http://vernacular.ai/" target="_blank">Vernacular.ai) is an AI-first SaaS voice automation company. Its suite of speech and language solutions enable enterprises to automate their contact centre operations. With over 10 million hours of training data, its product - Vernacular Intelligent Voice Assistant (VIVA) can currently respond in 16+ languages, covering over 160+ dialects and replicating human-like conversations.

Skit currently serves a variety of enterprise clients across diverse sectors such as BFSI, F&B, Hospitality, Consumer Electronics and Travel & Tourism, including prominent clients like Axis Bank, Hathway, Porter and Barbeque Nation. It has been featured as one of the top-notch start-ups in the Cisco Launchpad’s Cohort 6 and is a part of the World Economic Forum’s Global Innovators Community. It has has also been listed in Forbes 30 Under 30 Asia start-ups 2021 for its remarkable industry innovation.

We are looking for ML Research Engineers to work on the following problems:

• Spoken Language Understanding and Dialog Management.
• Language semantics, parsing, and modeling across multiple languages.
• Speech Recognition, Speech Analytics and Voice Processing across multiple languages.
• Response Generation and Speech Synthesis.
• Active Learning, Monitoring and Observability mechanisms for deployments.

Responsibilities

• Design, build and evaluate Machine Learning solutions.
• Perform experiments and statistical analyses to draw conclusions and take modeling decisions.
• Study, implement and extend state of the art systems.
• Take part in regular research reviews and discussions.
• Build, maintain and extend our open source solutions in the domain.
• Write well-crafted programs at all levels of the system. This includes the data pipelines, experiment prototypes, fast and scalable deployment models, and evaluation, visualization and monitoring systems.

Requirements

• Practical Machine Learning experience as demonstrated by earlier works.
• Knowledge of and ability to use tools from theoretical and practical aspects of computer science. This includes, but is not limited to, probability, statistics, learning theory, algorithms, software architecture, programming languages, etc.
• Good programming skills and ability to work with programs at all levels of a finished Machine Learning product. We prefer language agnosticism since that exemplifies this point.
• Git portfolios and blogs are helpful as they let us better evaluate your work.

• What information we collect during our application and recruitment process and why we collect it;
• How we use that information; and
• How to access and update that information.

• Your name, address, email address, telephone number and other contact information;
• Your resume or CV, cover letter, previous and/or relevant work experience or other experience, education, transcripts, or other information you provide to us in support of an application and/or the application and recruitment process;
• Information from interviews and phone-screenings you may have, if any;
• Details of the type of employment you are or may be looking for, current and/or desired salary and other terms relating to compensation and benefits packages, willingness to relocate, or other job preferences;
• Details of how you heard about the position you are applying for;
• Reference information and/or information received from background checks (where applicable), including information provided by third parties;
• Information about your educational and professional background from publicly available sources, including online, that we believe is relevant to your application or a potential future application (e.g. your LinkedIn profile); and/or
• Information related to any assessment you may take as part of the interview screening process.

• Assessing your skills, qualifications and interests against our career opportunities;
• Verifying your information and carrying out reference checks and/or conducting background checks (where applicable) if you are offered a job;
• Communications with you about the recruitment process and/or your application(s), including, in appropriate cases, informing you of other potential career opportunities at Skit;
• Creating and/or submitting reports as required under any local laws and/or regulations, where applicable;
• Making improvements to Skit's application and/or recruitment process including improving diversity in recruitment practices;
• Proactively conducting research about your educational and professional background and skills and contacting you if we think you would be suitable for a role with us.

• Degree in English.
• Portfolio published articles.
• Experience doing research using multiple sources.
• Familarity with web applications.
• Excellent english written and able to communicate and collaborate effectively.
• Knowledge of Digital Marketing Tactics, including SEO, EMAIL MARKETING.
• MS Office suite experience

Total Experience: 6 – 12 Years

Required Skills and Experience 

• 3+ years of relevant experience with DevOps tools Jenkins, Ansible, Chef etc
• 3+ years of experience in continuous integration/deployment and software tools development experience with Python and shell scripts etc
• Building and running Docker images and deployment on Amazon ECS
• Working with AWS services (EC2, S3, ELB, VPC, RDS, Cloudwatch, ECS, ECR, EKS)
• Knowledge and experience working with container technologies such as Docker and Amazon ECS, EKS, Kubernetes
• Experience with source code and configuration management tools such as Git, Bitbucket, and Maven
• Ability to work with and support Linux environments (Ubuntu, Amazon Linux, CentOS)
• Knowledge and experience in cloud orchestration tools such as AWS Cloudformation/Terraform etc
• Experience with implementing "infrastructure as code", “pipeline as code” and "security as code" to enable continuous integration and delivery
• Understanding of IAM, RBAC, NACLs, and KMS
• Good communication skills

Good to have:

• Strong understanding of security concepts, methodologies and apply them such as SSH, public key encryption, access credentials, certificates etc.
• Knowledge of database administration such as MongoDB.
• Knowledge of maintaining and using tools such as Jira, Bitbucket, Confluence.

Responsibilities

• Work with Leads and Architects in designing and implementation of technical infrastructure, platform, and tools to support modern best practices and facilitate the efficiency of our development teams through automation, CI/CD pipelines, and ease of access and performance.
• Establish and promote DevOps thinking, guidelines, best practices, and standards.
• Contribute to architectural discussions, Agile software development process improvement, and DevOps best practices.