International Sales Representative

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

 Pega Certified Lead with hands-on understanding of Pega Build, Design, Architecture

• Innovative zest for creating Intellectual Properties, Accelerators and solutions which can impact business value on Applications.

• Thorough understanding of current and future technology trends and ability to leverage them with minimum interventions and creating cost-effective value propositions with winning themes to make definite GTM impact.

• Participate in short-term consulting engagements and pre-sales assessments/workshops

• Collaborates with sales, delivery, technical and vertical teams to ensure proposed deals include technical solutions, winning themes that accurately address customer needs

• Assist overlay sales in supporting the named logo list of must-win prospects

• Assist marketing team in driving practice specific campaigns – develop key messages, design relevant content

• Drive customer visits, pre-sales workshops and expertise presentations

• Secures input from all necessary solution stakeholders and adapts solutions, as necessary.

Job Description:

As a Technical Writer, you will be responsible for working independently on components of an information development project. You will contribute to the team on a variety of projects and call upon team members for guidance as needed. You will contribute to the team and work independently.

Experience Range:

5 - 7 years

Job Responsibilities:

• Strong writing skills, namely a command of grammar, syntax, diction, and the conventions and best practices of writing a variety of technical documents.
• Experience in using the Darwin Information Typing Architecture (DITA).
• Good knowledge and writing experience using XML-based authoring tools such as oXygen XML Editor.
• Create and maintain Online Help, Installation Guide, Upgrade Guide, Deployment Guide, Release Notes, Support Matrix, and other such product documentation deliverables.
• Design, develop, and write technically accurate and comprehensive product documentation that adheres to the MSTP.
• Understanding of core information development processes: content planning, content creation, and content review.
• Fundamental skills with the authoring tools used by the information development teams.
• Fundamental collaboration skills: Ability to work with cross-functional teams and other writers for updates in the product or the process.
• Ensure strict adherence to the delivery schedule by planning, tracking, and delivering as per sprint commitments.
• Participate in daily scrum meetings, development design reviews, and documentation reviews.

Skills Required:

DITA XML, XMetal, Oxygen XML Editor, MSTP, Astoria, Visual Studio, Agile Environment, Software Development Life Cycle (SDLC),

Desired Characteristics:

• Fundamental knowledge of core technical communication concepts, such as topic-based authoring, minimalism, task-oriented design, single-sourcing.
• Experience with content management systems, such as Astoria and Visual Studio.
• Basic skills in editing (QA for documentation) – ability to recognize errors in a variety of information deliverables.
• Working knowledge of Lean/Agile/XP software development processes and how to follow processes for information development.
• Working knowledge of major aspects of software design, development, and QA and how they affect the information development process.

JOB DESCRIPTION:

Design and build application for iOS platforms

Writing well designed, testable, efficient code by using the best software development practices

Responsible for working on iOS frameworks, Xcode, Swift, Rxswift, Xcode SDK Platform tools

Responsible to work on bug fixing and improving application performance

Create and maintain software documentation

Stay plugged into emerging technologies/industry trends and apply them into operations and activities

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

Relevant work experience in ASP.net, C#

At least 2 years of experience with WCF Services

Very strong C# fundamentals
Has experience in building applications in C#

Experience and proficiency in client-side scripting languages, in particular HTML, CSS, and JavaScript

Experience and proficiency in cloud environment, in particular AWS

Additional skills-

- experience of handling Photon Engine

- knowledge of Scripting language like Python, Shell

- Knowledge of apache web server and php application deployment

- Performance monitoring- apps and cloud infra

• You will build cutting-edge secure and scalable systems by writing simple and efficient code.
• You will own the backend development for one or more of our modules and collaborate with architects, other engineers, and product managers to launch new products and/or iterate on existing features. You'll build and manage automated build/test/deployment environments
• Ensure high standards through code reviews, design reviews, architecture discussions
• You will ensure that the systems you oversee are secure, fault-tolerant, and are performing reliably at high volumes.

• Well-versed in data structures, algorithms, and software design. Programming experience with at least one of Java or Python and object-oriented design
• Knowledge of SQL, NoSQL databases, Messaging/Caching technologies, and AWS deployments is a plus
• Able to write unit integration tests with coverage of code & interfaces. TDD is a plus
• Exposure to the architecture and design (design patterns, security, reliability, and scaling) of new and current systems. Experience in building highly scalable business applications, which involve implementing large complex business flows involving multiple third-party integrations
• Prior startup experience is a plus