Sr. Azure Developer

• System Administration: 3+ years managing Adobe Workfront configuration, including custom forms, dashboards, and user permissions.
• Workflow Optimization: Proven ability to streamline marketing processes by building and optimizing automated workflows, templates, and reporting.
• Integration Support: Experience configuring Workfront Fusion and integrating Workfront with external tools.
• Cross-functional Collaboration: Ability to translate stakeholder business requirements into technical solutions for marketing operation efficiency.
• Platform Expertise: Deep knowledge of Oracle Eloqua campaign execution, segmentation, and data management is a strong plus.

About Sharpsell (https://www.sharpsell.ai/)

Sharpsell is India's first sales playbook automation platform. We are on a mission to transform 1 Crore salespeople into sales champions. Sales leaders at 30+ of India's largest enterprises like LIC, Kotak Life, Mahindra, Whirlpool, Axis Bank, and Torrent Pharma trust Sharpsell's award-winning platform.

Role Overview

We are looking for an Email Marketing Specialist who combines strong writing skills, operational excellence, and technical understanding of email deliverability. You will manage campaigns, databases, tools, and domain reputation to ensure emails consistently land in the inbox and drive engagement.

Key Responsibilities

 Plan, execute, and optimize email campaigns across lifecycle, demand generation, events, and product communication.

 Write clear, persuasive, human-sounding email copy aligned with brand voice and goals.

 Manage and maintain email databases - segmentation, tagging, hygiene, and compliance.

 Build and manage workflows such as lead nurturing, onboarding, re-engagement, and follow-ups.

 Own campaign setup in email tools including templates, personalization, dynamic fields, and testing.

 Monitor and improve deliverability, open rates, CTRs, conversions, and unsubscribe rates.

 Conduct A/B testing on subject lines, content, CTAs, timing, and formats.

 Own sender and domain reputation management, including:

o Setting up and maintaining SPF, DKIM, and DMARC

o Monitoring sender reputation and inbox placement o Managing warm-up plans for new domains or IPs

o Identifying and resolving deliverability issues

 Ensure adherence to email compliance and best practices (CAN-SPAM, GDPR basics).

 Track performance, create reports, and share insights for continuous improvement.

 Coordinate with sales, content, and design teams for aligned messaging.

Required Skills & Experience

 1 - 3 years of hands-on experience in email marketing (B2B SaaS preferred).

 Strong expertise in email copywriting - subject lines, body copy, CTAs.

 Proven experience with email marketing platforms (HubSpot, Mailchimp, Web Engage, Clever tap, Salesforce, or similar).

 Solid experience in database management, segmentation, and list hygiene.

 Practical knowledge of email deliverability and domain authentication: o SPF, DKIM, DMARC

o Sender reputation monitoring

o Bounce, spam complaint, and suppression handling  

 Working knowledge of HTML basics for email templates.

 Data-driven mindset with ability to analyse metrics and optimize campaigns.

 High attention to detail and execution discipline.

Good to have

 Experience with marketing automation, CRM integrations, and lifecycle marketing.

 Familiarity with email warming tools, deliverability dashboards, and inbox testing.

 Understanding of B2B lead funnels and sales handoff workflows.

 Experience working in a SaaS or high-growth startup environment. What we value

 Ownership of outcomes, not just execution.

 Strong writing and communication skills.

 Comfort working with both tools and data.

 Continuous experimentation and learning mindset.

Role & Responsibilities:

As a Business Analyst, we will require that you interact with a multitude of leaders and managers, from customers, prospects, AI suppliers, Internal stake-holders from technology and quality assurance as well as the entire research, analysis, development, delivery and support teams.

This requires maturity, empathy and an engaging personality. You must have excellent presentation and communication skills, written, spoken and creative. We seek candidates who are passionate, committed, innovative, self-driven and result focused.

Towards this end, you would be involved in the following:

• Shape new concepts and features
• Work with global QHSE leaders and AI/ML teams
• Bring your expertise and certifications into product strategy
• Engage with clients worldwide
• Support delivery teams in transforming safety performance

Ideal Candidate:

• Strong Business Analyst – HSE (Ports & Terminals) Profiles
• Must have 7+ years of experience as a Business Analyst, with 3+ years within the Ports, Container Terminals, Shipping, or Maritime industry OR with 3+ years in Health, Safety and Environment
• Must have strong domain expertise in Health, Safety & Environment (HSE / QHSE) specifically in Ports and Terminals operations
• Must have hands-on experience with HSE / QHSE software products (implementation, configuration, rollout, or functional ownership) used in Ports or Terminals
• Must have proven experience in requirements gathering, gap analysis, and writing detailed functional specifications / FRDs for enterprise or ERP-style applications
• Must have strong client-facing experience, including stakeholder interactions, UAT coordination, go-live support, and post-implementation functional support
• Must be comfortable with onsite client visits, product delivery, and training end-users on the HSE software product
• Excellent communication, presentation, and stakeholder management skills with the ability to independently own functional delivery
• Technical qualification is not mandatory; strong functional, process, and domain expertise is essential
• Experience working with ERP or large enterprise applications in Ports, Container Terminals, Logistics, or Maritime environments.
• Exposure to QHSE / Safety Management Systems, ISO standards (ISO 45001, ISO 9001, ISO 14001), or regulatory compliance frameworks.
• NEBOSH / IOSH / ISM Code or equivalent HSE certifications.

Infrastructure Engineer – Database & Storage

Responsibilities

• Design and maintain PostgreSQL, OpenSearch, and Azure Blob/S3 clusters.
• Implement schema registry, metadata catalog, and time-versioned storage.
• Configure read replicas, backups, encryption-at-rest, and WORM (Write Once Read Many) compliance.
• Optimize query execution, indexing, and replication latency.
• Partner with DevOps on infrastructure as code and cross-region replication.

Requirements

• 6 + years database / data-infrastructure administration.
• Mastery of indexing, partitioning, query tuning, sharding.
• Proven experience deploying cloud-native DB stacks with Terraform or Helm.

About WINIT Software:

Join WINIT Software, a global leader in Sales Force Automation (SFA) and Distributor Management Systems (DMS). We empower enterprises to optimize sales execution, improve distribution efficiency, and scale faster with AI-driven solutions.

What You’ll Do:

• Generate leads, make calls, and engage with potential clients.
• Understand client needs and present WINIT’s innovative solutions.
• Conduct market research to identify opportunities and trends.
• Maintain CRM and provide sales updates to the team.
• Collaborate with a high-performing team to meet and exceed targets.

What We’re Looking For:

• MBA (Marketing/Sales) – Freshers welcome!
• Strong communication and interpersonal skills.
• Self-starter, target-driven, and curious about business growth.
• Eager to learn and grow in a fast-paced, tech-driven environment.

Why Join Us:

• Hands-on experience in enterprise software sales.
• Mentorship from experienced professionals.
• Opportunity to shape your career in a fast-growing tech company.

• Have a deep understanding of NLP, Computer Vision
• Potentially have exposure to Knowledge Graphs
• Have strong solution skills in translating customer needs to product requirements
• Engineering background mandatory, you will be expected to get hands-on with code and data
• Project manage the delivery of POCs and Product, interfacing with engineering and implementation teams
• Propose and implement fast Proof of Concepts and lightweight experiments
• Ability and experience working with technical teams, and development, requirement analysis, or PM experience around APIs is a plus
• Excellent analytical skills with a tendency to prefer data over instinct
• Experience working in a fast-paced environment, with competing resources and priorities, through planning, development, and launch.
• Exposure to data science will be a big plus.
• Exposure or experience in Financial Services a big plus

• Join a client call and understand what their requirements are
• Work with a developer (or solo) to build a quick POC using our technologies for the client
• Work with the engineering team to build and deploy production solutions (cloud and on-prem)
• Do calls with client technical, architecture, and data science teams to explain our product and deployment

• At least 3 years of diverse experience in product or services organizations working on NLP driven products
• Experience in serving Enterprise / Fortune 500 Clients
• Familiarity with the competitive landscape of NLP and Computer Vision products
• Experience in IDP / RPA a big plus
• Expertise in programming using Python or similar scripting languages
• In-depth exposure to technologies used in web-based SaaS products, including REST APIs
• Sound understanding of Postgres and NoSQL databases such as MongoDB

• AWS
• Azure
• ELK
• Google APIs
• Microservices Architecture Pattern

• Resourcefulness- - we're looking for versatile developers who are good at figuring out what they need to use, learn, build, re-purpose to get the job done quickly and efficiently.
• Ownership- - We like to be directive and not prescriptive in our management. We- d love for you to take ownership of what you work on, and tell us what to do, rather than the other way round.
• Work Ethic- - We've grown up on Wall Street. We work hard and have aggressive goals. We want our teammates to be focused, goal-oriented, and consistent high achievers.
• Execution Focus- - Our business is about getting things done and getting things done right. We want outcome-focused colleagues who can multi-task, and execute quickly and elegantly.

Job Title: Chief Engineer: Deep Learning Compiler Expert

You will collaborate with experts in machine learning, algorithms and software to lead our effort of deploying machine learning models onto Samsung Mobile AI platform.

In this position, you will contribute, develop and enhance our compiler infrastructure for high-performance by using open-source technology like MLIR, LLVM, TVM and IREE.

Necessary Skills / Attributes:

• 6 to 15 years of experience in the field of compiler design and graph mapping.
• 2+ years hands-on experience with MLIR and/or LLVM.
• Experience with multiple toolchains, compilers, and Instruction Set Architectures.
• Strong knowledge of resource management, scheduling, code generation, and compute graph optimization.
• Strong expertise in writing modern standards (C++17 or newer) C++ production quality code along test-driven development principles.
• Comfortable and experienced in software development life cycle - coding, debugging, optimization, testing, and continuous integration.
• Familiarity with parallelization techniques for ML acceleration.
• Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, or Glow.
• Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
• Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
• Experience operating in a fast-moving environment where the workloads evolve at a rapid pace.
• Understanding of the interplay of hardware and software architectures on future algorithms, programming models and applications.
• Experience developing innovative architectures to extend the state of the art in DL performance and efficiency.
• Experience with Hardware and Software Co-design.

M.S. or higher degree, in CS/CE/EE or equivalent with industry or open-source experience.

Work Profile:

• Design, implement and test compiler features and capabilities related to infrastructure and compiler passes.
• Ingest CNN graphs in Pytorch/TF/TFLite/ONNX format and map them to hardware implementations, model data-flows, create resource utilization cost-benefit analysis and estimate silicon performance.
• Develop graph compiler optimizations (operator fusion, layout optimization, etc) that are customized to each of the different ML accelerators in the system.
• Integrate open-source and vendor compiler technology into Samsung ML internal compiler infrastructure.
• Collaborate with Samsung ML acceleration platform engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
• Closely follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other ML engineers.
• Create and optimize compiler backend to leverage the full hardware potential, efficiently optimizing them using novel approaches.
• Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
• Contribute to the development of machine-learning libraries, intermediate representations, export formats and analysis tools.
• Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
• Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.

Keywords to source candidates

Senior Developer, Deep Learning, Prediction engine, Machine Learning, Compiler