Strategic Sales Manager

Senior Manager, Credit Card Acquisition Strategy

Senior Machine Learning Engineer (Production & MLOps Focus)

 IIAD / SAD / LAD Artificial Intelligence Engineer

Technical Writer

Assistant Regional Brand Manager

Lead AI Engineer

Data Center Market Development Senior Manager

F&B Sales Engineer

Role Description: <ul><li>The Strategic Sales Manager, Data Center is responsible for driving strategic growth by identifying and developing new opportunities across the data center value chain—including hyperscale owners, colocation operators, contractors, and integrators.</li><li>This role focuses on expanding presence in the market through targeted engagement, solution positioning, and collaboration with cross-functional teams to deliver innovative connectivity solutions that meet the evolving demands of data center infrastructure.</li><li>This is a fully remote position.</li></ul> Responsibilities: <ul><li>Develop strong relationships with key stakeholders (executive level relationships and key decision makers) in the customer, apply professional selling methodology and leverage these relationships to position as a preferred supplier.</li><li>Design knowledge of data center systems, grounding, and other related applications.</li><li>Engagement with developed network of hyperscale owners and colocation operators for content expansion.</li><li>Research and development in new technology for new product development and stay current on technological developments in the field.</li><li>Generates new ideas, goes beyond the status quo; recognizes the need for new or modified approaches</li><li>Actively monitor &amp; maintain KPIs of customer relative to supplier performance standards.</li><li>Proactively promote the value which brings to the customer (with data / results) and work to efficiently service the account.</li><li>Financial tracking and reporting of strategy and business development efforts, market performance, and business planning results.</li><li>Engage in national and local industry events for market awareness and trainings</li></ul> Requirements: <ul><li>B.S. technical/business degree and 8 years of technical sales experience with 2+ years data center experience.</li><li>Preference will be given to candidates that possess technical backgrounds and have experience with data centers.&nbsp;</li><li>Experience managing project teams, both directly and through matrix organizations</li><li>Ability to travel 60-75% of the time.</li><li>Proven ability to work in a fast-paced and ever-changing environment.</li><li>Strong analytical and problem-solving ability with an entrepreneurial mindset</li><li>Strong customer service skills with a focus on listening to the customer.</li><li>Strong public speaking and presentation skills</li><li>Working knowledge of engineering design, procurement, and construction practices and procedures.</li><li>Multi-project execution experience</li></ul>

Role Description: <ul><li>Lead initiatives to acquire new credit card accounts profitably.</li><li>Deep understanding of credit card economics and P&amp;L drivers</li><li>Collaborate with marketing, credit risk, analytics, product management, and other teams.</li><li>Use data-driven strategies and A/B testing to optimize account acquisition.</li><li>Partner with Product and Marketing to launch credit card-related initiatives focusing on acquisition, activation, and early engagement.</li><li>Implement marketing programs across multiple digital channels (our client App, email, affiliates, paid search, Martech/CRM).</li></ul> Responsibilities: <ul><li>Develop new credit card features by assessing competition, customer needs, and research findings.</li><li>Drive adoption of our client Credit Cards alongside internal teams and external bank partners.</li><li>Manage forecasting, KPIs, OKRs, campaign analysis, and incentive strategies related to new accounts.</li><li>Oversee day-to-day management of all projects to ensure timely and risk mitigated delivery.</li><li>Maintain awareness of the competitive landscape to inform program and feature development.</li></ul> Requirements: <ul><li>10+ years in the credit card industry, especially revolving credit products.</li><li>Proven experience managing credit card P&amp;Ls, forecasting, and target management.</li><li>Strong leadership skills, specifically in cross-functional collaboration and indirect leadership.</li><li>Excellent influencing and senior-level communication abilities.</li><li>Expertise in project management with tools like Confluence and Jira.</li><li>Strong organizational skills and ability to thrive in a fast-paced, dynamic environment.</li><li>Proficiency in Microsoft Suite and advanced PowerPoint skills.</li><li>Familiarity with our client and consumer credit products.</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: Agentic AI Development:&nbsp;&nbsp; <ul><li>Design, build, and deploy agentic AI systems using frameworks such as LangChain, Lang Graph, and related libraries.&nbsp;&nbsp;</li><li>Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.&nbsp;</li></ul> RAG Pipelines:&nbsp; <ul><li>Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.&nbsp;</li></ul> LLM Engineering:&nbsp; <ul><li>Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.&nbsp;</li><li>Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.&nbsp;</li></ul> Enterprise AI Platform:&nbsp; <ul><li>Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.&nbsp;</li><li>Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.&nbsp;</li></ul> MLOps &amp; Observability:&nbsp; <ul><li>Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.&nbsp;</li><li>Applied AI Prototyping:&nbsp;</li></ul> Rapidly prototype, experiment, and iterate to improve AI agent capabilities.&nbsp; Collaboration &amp; Research:&nbsp; <ul><li>Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings.&nbsp;</li><li>Collaborate effectively with other engineers, researchers, and data scientists.&nbsp;</li><li>Contribute to the documentation and standardization of technical code and practices.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.&nbsp;</li><li>5+ years overall experience in software development, data science, or machine learning.&nbsp;</li><li>1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.&nbsp;</li><li>1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.&nbsp;</li></ul>

Responsibilities: <ul><li>Develop and maintain comprehensive documentation for smart contract applications, including user guides, API references, and system overviews.</li><li>Collaborate with engineering and product teams to understand new features and translate them into accurate and accessible documentation.</li><li>Create tutorials, walkthroughs, and FAQs to support users and developers interacting with our applications.</li><li>Ensure documentation is consistent with brand voice, technical accuracy, and usability standards.</li><li>Maintain version control and change logs for documentation updates.</li><li>Organize and manage documentation repositories using tools like Git, Notion, or Confluence.</li><li>Conduct user research and gather feedback to improve documentation quality and relevance.</li><li>Stay current with Web3 trends, tools, and best practices to ensure documentation reflects the latest standards and innovations.</li></ul> Requirements: <ul><li>3+ years of experience in technical writing, preferably in software or blockchain environments.</li><li>Strong understanding of Web3 technologies, including smart contracts, dApps, and blockchain fundamentals.</li><li>Experience documenting APIs, SDKs, and developer tools.</li><li>Proficiency with documentation tools such as Markdown, Git, and static site generators.</li><li>Excellent written and verbal communication skills.</li><li>Ability to work independently and manage multiple documentation projects simultaneously.</li><li>Strong attention to detail and commitment to clarity and accuracy.</li></ul> Bonus Experience: <ul><li>Experience working with smart contracts</li><li>Familiarity with Solidity, Rust, or other smart contract languages.</li><li>Experience with Chainlink tools, including CCIP, Data Feeds, VRF, and Automation.</li><li>Background in UX writing or instructional design.</li><li>Contributions to open-source documentation or developer communities.</li><li>Experience in financial services or regulated industries.</li></ul>

Responsibilities: <ul><li>Support the Portfolio Manager for category &amp; brand planning, grounded in consumer and customer insights.</li><li>Support the deployment of Brand Marketing Campaigns (ATL/BTL or Through-the-line Campaign Management) for key markets with full ownership &amp; leadership from campaign planning to post launch evaluation, working closely with external marketing agencies &amp; partners.&nbsp;</li><li>Support and manage innovation projects (relaunch/ NPD) including size of opportunity projection, understanding P&amp;L and compliance checking, leading &amp; working closely with innovation project team for assigned category.&nbsp;</li><li>Develop the Selling Story for new product &amp; campaign based on consumer &amp; market insight, working closely with commercial sales &amp; consumer insight team</li><li>Conduct customer research including product testing and consumer insight session for new products/ relaunch with distributor team and focus consumer groups&nbsp;</li><li>Actively recommend solutions and implement improvements for day-to-day operations with functional stakeholders internally &amp; externally&nbsp;</li><li>Plan &amp; Monitor marketing budget for key activities&nbsp;</li></ul> Requirements: <ul><li>Education Background: Preferably from marketing/ business management background&nbsp;</li><li>Education Level: Bachelor’s Degree minimum, master’s degree would be a plus</li><li>Working Experience:</li><li>3-5 or more years of experience in brand/product management/marketing (FMCG) or experience in categories related to food products, meals or infant will be a plus.</li></ul>

Responsibilities: <ul><li>Oversee the design, development, and deployment of AI models and intelligent agents.</li><li>Ensure engineering best practices in model development, testing, and deployment.</li><li>Collaborate with IT and data teams to ensure scalable and secure integration of AI solutions.</li><li>Work closely with business and technical stakeholders to understand requirements and deliver impactful AI solutions.</li><li>Communicate effectively with global teams, bridging technical and business perspectives.</li><li>Support change management and adoption of AI tools across business units.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools.</li><li>Lead the design and development of solutions using Agentic AI&nbsp;</li></ul> Requirements: Basic Qualifications:<ul><li>10+ years of experience in software engineering, data science, AI, or a related field.</li><li>2+ years of experience in leadership role managing technical teams.</li><li>Proficiency in software development and statistical analysis.</li><li>Experience with Large Language Models and their applications.</li><li>Strong communication skills and the ability to present technical results to business stakeholders.</li><li>Experience with solution architecting and design.</li><li>Hands-on experience with cloud platforms such as Azure and/or AWS. </li><li>Proficiency in programming languages such as Python, R, or similar.</li><li>Bachelor’s or master’s in computer science, Mathematics, Statistics, or a related field.</li></ul> Preferred Qualifications:<ul><li>Experience working in a global enterprise or matrixed organization.</li><li>Familiarity with cloud platforms (Azure, AWS, GCP) and MLOps tools.</li><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Experience in applications to sales, marketing, and market research&nbsp;</li></ul>

Responsibilities: <ul><li>Own the global strategy to develop “where to play” and “how to win” plans by combining deep market and customer insights with knowledge of products and go-to-market strengths.</li><li>Gather and synthesize actionable market and application knowledge, including products, competitors, market trends, technology roadmaps, and regulations.</li><li>Deliver growth plans covering both strategic (long-term trajectory) and tactical (6–12 months action plans) horizons, and lead the implementation of those plans.</li><li>Identify, assess, and execute value-creation opportunities across growth vectors, including commercial go-to-market, market and portfolio expansion (organic or inorganic), strategic partnerships, and acquisitions.</li><li>Source contacts within target customer functions to support sales teams in creating initial footholds for customer development, including qualification, specification, and commercial negotiations.</li><li>Co-own (with sales) the customer strategy and revenue/new opportunity pipeline within the Data Center industry. Drive pipeline growth in partnership with sales and marketing teams through value proposition development, communication, and sales coverage optimization.</li><li>Maximize opportunity pipeline conversion by participating in pipeline reviews, providing input into major project proposals and quotes to enhance win rates, and supporting sales and product management teams with customer presentations for major opportunities.</li><li>Partner with marketing teams to develop and execute initiatives that position the organization as a leader and trusted advisor to customers through content such as whitepapers, webinars, tradeshows, and other technical marketing activities.</li><li>Monitor market evolution and innovations, providing structured support, scanning, and insights into near- and far-adjacent future market opportunities. Keep key stakeholders updated on trends and translate insights into actionable growth and market share expansion plans.</li><li>Act as the champion for the Data Center market by setting direction, driving investment decisions, ensuring sharing of learnings across regions, and positioning the organization to succeed in the market.</li><li>Facilitate cross-region sharing of learnings and market trends and advise on global and regional strategy.</li></ul> Key Objectives / Measurements <ul><li>Development of a strategy to win target market segments, including application roadmaps and plans for portfolio expansion into product adjacencies through partnerships or acquisitions.</li><li>Identification of substantiated growth opportunities and pipeline, including the number and quality of product &amp; technology roadmaps and strength of M&amp;A pipeline.</li><li>Revenue growth, market share gains, and margin expansion in the Data Center market.</li></ul> Requirements: Qualifications and Experience <ul><li>Minimum 10 years of experience in strategy, strategic business/market development, or product management roles at leading companies in Renewables, Utilities, or Industrial sectors.</li><li>Bachelor’s degree in Business, Science, or Engineering required; advanced degree preferred.</li><li>Deep understanding of the Data Center market and broader industry landscape, including key players, current and future trends, and growth vectors. Prior working experience in the Data Center business is preferred (e.g., hyperscale/colocation data center owners, OEMs, electrical contractors, or extensive networks within these companies).</li><li>Demonstrated success with strategic and market analytical processes, including market segmentation, strategic planning, competitive analysis, market research, new product development and launch, and strategic marketing.</li><li>Strong teamwork and leadership skills; proven ability to deliver results in cross-functional and cross-cultural environments.</li><li>Ability to influence individuals at all organizational levels.</li><li>Strong oral and written communication skills; ability to convey complex topics effectively to cross-cultural and functional audiences, including senior executives.</li><li>Willingness to travel up to 50% for industry conferences, customer visits, and organizational meetings.</li><li>Professional working proficiency in English.</li></ul>

Responsibilities: <ul><li>Region coverage South India (Andhra Pradesh / Telangana /Karnataka / Tamil Nadu / Kerala).&nbsp;</li><li>Conduct market research to identify potential customers in the F&amp;B&amp;S Sector in South India.</li><li>Develop and implement targeted marketing strategies to reach potential customers in these sectors.</li><li>Key account management including End Users, OEMs &amp; System Integrators</li><li>Build long-term customer business relations right from the concept phase and ensure product standardization at customer sites.</li><li>Build and maintain relationships with existing customers in these sectors, identifying opportunities for cross-selling and upselling.</li><li>Attend industry events and exhibitions to showcase company products and engage with potential customers.</li><li>Provide technical expertise and assistance to customers, helping them to select the most suitable equipment for their specific applications in these sectors.</li><li>Act as the customers advocate and ensure their technical needs are met.&nbsp;</li><li>Work closely with the company product development team to identify and develop new products that meet the specific needs of the PI - F&amp;B&amp;S in India.</li><li>Produce and maintain detailed documentation on all customer interactions, including project timelines, equipment specifications, and budget constraints.</li><li>Provide ongoing technical support and guidance to other departments within the company as required to ensure that all customers receive the highest level of service and support.</li><li>Provide high-quality technical support to prospects and customers during pre- and post-sales situations.&nbsp;</li><li>Understand and solve challenging application problems by recommending appropriate company solutions.&nbsp;</li><li>Update records in CRM interface for opportunity pipeline, appointments, lead and present business analytical data through CRM&nbsp;</li></ul> Requirements:﻿ <ul><li>Hold relevant Diploma Mechanical / Bachelor of Engineering, Qualifications and a strong business background.</li><li>Preferably have at least 10 -15 years of experience in the Fluid Handling Industry.&nbsp;</li><li>Possess excellent written and spoken English communication skills.</li></ul>

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38 research Jobs found

Strategic Sales Manager

Senior Manager, Credit Card Acquisition Strategy

Senior Machine Learning Engineer (Production & MLOps Focus)

IIAD / SAD / LAD Artificial Intelligence Engineer

Technical Writer

Assistant Regional Brand Manager

Lead AI Engineer

Data Center Market Development Senior Manager

F&B Sales Engineer

F&B Sales Engineer

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38 research Jobs found

Strategic Sales Manager

Senior Manager, Credit Card Acquisition Strategy

Senior Machine Learning Engineer (Production & MLOps Focus)

IIAD / SAD / LAD Artificial Intelligence Engineer

Technical Writer

Assistant Regional Brand Manager

Lead AI Engineer

Data Center Market Development Senior Manager

F&B Sales Engineer

F&B Sales Engineer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.