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Experienced Ordnance Specialist Jobs

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DR ASHWANI KUMAR VIJ : Have been retained by a Growing, Reputed and professionally managed Real Estate Group ( For Their Affordable Housing Project ) to select 1 : General Manager / AGM / Head - Sales - Gurgaon ( Real Estate only). Job Location: Gurgaon Job Description: Hiring and training sales staff Ensuring that department meets its sales targets Plan and assign daily workload to sales team Developing a departmental strategic plan Ensuring customer's expectations are fulfilled Respond to escalated customer complaints in a timely manner Overseeing the budget Represent company brand in sales conference and trade shows Evaluate current sales processes and recommend improvements Identify selling strategies and opportunities to increase revenue Desired Candidate Profile : Candidates must be from Real Estate background, with a minimum experience of 4-5 years in selling affordable housing in gurgaon region. Experienced Professionals having less than 10 years of experience From Real Estate Sector would be considered for the Position of AGM / Head / Senior Manager / Manager - Sales Age Desired : 32-35 Years. MBA / PGDM in Marketing having 10-12 years of relevant experience Preferred. DR ASHWANI KUMAR VIJ : President : Sales Recruitment Email Complete/Structured CV, with Scanned copy of Visiting Card, Salary Drawn / Expected details at:

recruitment
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C
Citi
πŸ“ New York New York United States
9 days ago

We are seeking an experienced Quantitative Developer to join our Markets Quantitative Analytics team, partnering closely with Quantitative Analysts, Traders, and Technology professionals to build the next generation of pricing, risk, and analytics platforms. This is a hands-on technical role for a highly skilled software engineer with a passion for quantitative finance. You will be responsible for designing and delivering high-performance, scalable solutions that support front office trading businesses across asset classes. The role offers the opportunity to work on complex quantitative challenges, modern engineering practices, and large-scale distributed systems while helping shape the strategic direction of Citi's quantitative technology platform. Successful candidates will combine strong software engineering expertise with an understanding of quantitative methodologies and financial markets, translating sophisticated mathematical models into robust, production-grade solutions. Key Responsibilities Design, develop, and maintain high-performance pricing, risk, and analytics libraries used across Global Markets. Partner with Quantitative Analysts to transform research models and prototypes into scalable, production-quality software. Build and optimize quantitative applications using modern C++ and Python, applying strong software architecture and engineering principles. Own the full software development lifecycle, including requirements gathering, design, implementation, testing, deployment, and ongoing support. Drive engineering excellence through CI/CD adoption, automated testing, code reviews, and software quality best practices. Develop and maintain market data platforms and data pipelines supporting analytics, pricing, and risk workflows. Work with infrastructure teams to leverage distributed computing, cloud technologies, and scalable arc

pythonjavasql
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C
11 days ago

We are seeking an experienced Paid Media Audience Strategy & Data Architecture Lead to drive audience planning, activation strategy, and data-enabled marketing initiatives across the paid media ecosystem. This role combines strategic audience development with data architecture expertise, helping the organization identify, prioritize, and activate audiences that drive business outcomes. The successful candidate will lead the development of audience frameworks that answer key strategic questions: Who should we target? When should we engage them? Where should we reach them? Why are they valuable? Working closely with Marketing, Analytics, Data Science, Media, and Technology teams, this individual will translate customer insights and business goals into scalable audience strategies while ensuring data is appropriately integrated, governed, and activated across MarTech and AdTech platforms. The ideal candidate is a strategic audience expert who understands how to combine customer insights, first-party data, and marketing technology to develop effective targeting strategies. They can define who to target, when to engage them, where to activate them, and why they matter, while partnering across teams to operationalize those strategies and drive measurable business outcomes. Responsibilities: Audience Strategy & Planning: Develop audience strategies that support customer acquisition, cross-sell, engagement, and retention objectives, define target audience frameworks using customer behavior, lifecycle stage, demographics, transactional data, and behavioral signals, determine the optimal timing, channel, and messaging approach for audience engagement, partner with business stakeholders to identify high-value audience opportunities aligned with strategic priorities and establish audience selection methodologies, segmentation standards, and measurement frameworks. Customer Insights & Audi

sqlartificial intelligenceai
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A
11 days ago

Asana is seeking an experienced and empathetic Software Engineer to join our AI Teammates Experience team. Asana’s AI Teammates are fundamentally changing the way teams collaborate in and outside of Asana by giving teams access to AI agents that can take on tasks and collaboratively work with human colleagues to complete them. You’ll be building engaging experiences that enable our customers to work effectively with their AI Teammates. You’ll build the interaction and product surfaces for teams, users, and admins, working closely with foundation teams on prompting systems, evaluation/testing infrastructure, and agent capabilities. We’re looking for an engineer who is passionate about AI, curious to learn about everything from how people interact with agents to prompt engineering. This role can be based in our San Francisco offices with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. About the team AI Teammates Experience owns the end-to-end user-facing experience of AI Teammates, from first discovery and adoption through ongoing collaboration. We build for three core audiences: teams, admins, and individual users. We help teams create, discover, interact with, and manage their AI Teammates; help admins deploy AI Teammates successfully in their organization; and help users discover and work with their Personal Teammates. About Asana AI Teammates AI teammates are autonomous, specialized AI agents designed to work alongside human teams, handling complex, multi-step workflows like product management, customer service, and sales. They can help teams make progress across workflows around the clock, share context to boost productivity, and act as collaborato

aicustomer service
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