High Performance Workstation Business Development Manager Amd in India

Our Channels & Alliances Team’s charter builds and activates a strategic, differentiated and high-impact partner ecosystem for our best-of-breed multi-cloud monitoring product, one partner at a time. As a Senior Partner Manager, you will recruit and develop channel partners that drive new customer adoption and revenue, including Regional and Global Systems Integrators, Managed Service Providers, and Value Added Resellers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Identify and recruit new strategic channel partners in Mumbai to drive revenue growth Enable and activate existing partners through training, planning and joint selling activities Coordinate the technical and marketing aspects of integrated partnership launches Host regular business reviews with partners to drive accountability and report on success metrics Work hand-in-hand with Datadog’s regional enterprise and commercial sales organizations Generate partner-sourced net-new sales pipeline and revenue Who You Are: Experienced in 7+ years of partner-facing, quota-carrying business development, strategic alliances, or channel sales at a cloud services or software as a service organization Proven in driving sales opportunities from lead generation to closure, effectively negotiating agreements and building long-lasting partnerships Able to quickly comprehend technical concepts and architectural scenarios, and explain them to others verbally and in writing Proficiency in managing premier Cloud MSP partners will be advantageous Willing to travel 20-30% of the time Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage

We are looking for an experienced Senior Partner Manager to lead and scale Datadog's alliances with major Indian Global Systems Integrators (GSIs), including - Wipro, Tech Mahindra, and Cognizant. This is a high-impact role responsible for driving partner-sourced pipeline, co-sell motions, and joint go-to-market initiatives in a global capacity. You will own the strategy and day-to-day execution of these strategic relationships, working closely with regional sales, marketing, and legal teams to unlock new revenue and expand Datadog's footprint through the Indian GSI ecosystem. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Build and execute strategic plans to maximise customer success, partnership growth, and revenue opportunities across targeted Global Indian Systems Integrator partners. Drive joint solution development, go-to-market initiatives, pipeline generation, and delivery excellence with partners. Build strong relationships with Datadog leaders and partner executives, securing alignment, influence, and commitment to shared priorities. Partner closely with Regional Partner Sales Managers responsible for GSI relationships, as well as cross-functional teams including Partner Solution Architecture, Marketing, Legal, and Deal Desk. Negotiate and manage partnership agreements, order language, and contractual terms, including MSP addendums and pass-through obligations, in coordination with Legal and Deal Desk. Generate partner-sourced net-new pipeline and revenue, while identifying and recruiting additional practice areas or business units within existing GSI partners to expand the scope of the partnership. Who You Are: 7+ years of partner-facing, quota-carrying business development experience, with a track record of building strategic relations

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We are seeking Capacity Planning Lead to join Coinbase's Consumer (CX) Workforce Management team. This role is central to translating volume trends, staffing assumptions, and business inputs into actionable short- and medium-range capacity plans that help our consumer support operation meet customer demand efficiently and cost-effectively. The ideal candidate brings deep WFM domain expertise, strong analytical fundamentals, and the ability to operate with ownership and precision in a fast-moving, AI-informed planning environment. You'll work at the intersection of forecasting, operations, and cross-functional stakeholder collaboration to ensure CX is always staffed to deliver a high-quality customer experience. What you’ll do: Own forecasts and short-range capacity plans across multiple consumer support queues and markets, translating volume, AHT, and shrinkage trends into staffing requirements and coverage plans Use hybrid human–AI tooling to build and maintain capacity models that reflect the growing complexity of our support channels and workforce structure Create multi-scenario staffing plans that model trade-offs between Customer Experience/Service Levels, Employee Experience, Operational Flexibility, and Cost Effectiveness Partner with vendor management and BPO partners to ensure staffing targets and contractual SLAs are met at the interval level C

About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform. This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization. The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength. This role is based Remotely in Toronto, Canada. Key Responsibilities: Build an

We’re looking for a Talent Acquisition professional to join the People team at Bolna.ai . This is a hands-on role for someone who understands the nuances of hiring , thrives in a fast-paced environment, and knows how to build pipelines, convert strong candidates, and help teams hire exceptional talent at speed. What you’ll do Own end-to-end hiring across multiple functions — from understanding the requirement and sourcing to interviews, offers, and closures. Partner closely with hiring managers and leadership to understand hiring needs, define candidate profiles, and drive focused hiring strategies. Build and maintain strong talent pipelines through LinkedIn, referrals, communities, databases, and creative sourcing channels . Understand the nuances of hiring — what to look for, where to find the right talent, how to engage candidates, and how to convert them . Drive fast-paced hiring without compromising on candidate quality or experience. Build strong candidate relationships and effectively manage the funnel from first conversation to closure . Own and strengthen employee referral programs , finding creative ways to increase participation and conversions. Track pipeline health and hiring metrics, identify bottlenecks, and continuously improve the hiring process. Contribute to employer branding, talent mapping, and other hiring initiatives as Bolna scales. Who we’re looking for 3–6 years of experience in Talent Acquisition / Recruitment, preferably in a startup or high-growth environment. Strong understanding of fast-paced hiring and high-volume / multi-role recruitment . Excellent sourcing, screening, candidate engagement, and offer conversion skills. Strong understanding of the nuances of hiring and building quality talent pipelines . Experience managing or building employee referral programs . Strong communication, stakeholder management, and negotiation skills. High ownership, urgency, and attention to detail. Someone who enjoys figuring things out, moving fast,

About the Team OpenAI’s Marketing team helps translate complex technology, research, and product moments into work that can be understood by audiences around the world. The team brings together creative direction, design, writing, production, strategy, marketing, and regional partners to deliver campaigns, launches, films, events, brand systems, social, digital, OOH, experiential, and emerging formats across global markets. This role sits close to creative, production, Brand Marketing, Resource Management, agencies, and cross-functional partners. It is designed for someone who can turn approved strategic direction into a clear program path and keep that path moving—from goals and operating model through creative development, production, launch readiness, and closeout. The role will work closely with Resource Managers to anticipate resource needs, maintain accurate allocations, and identify gaps early enough to address them before they become delivery risks. About the Role As a Strategic Operations Lead, Marketing, you will help design and run the leadership operating model for OpenAI's Marketing organization. This is a senior role for someone who has built 0-1 operating systems in high-growth marketing environments and can move fluidly between strategy, planning, executive communication, and hands-on execution. We're looking for someone who can bring structure to ambiguity without adding unnecessary process: a strategic chief of staff who can stand up planning cycles, QBRs, headcount, prioritization, resourcing asks, investment governance rhythms, leadership cadences, while partnering with strategy & operations managers on budget forecasting, spend execution, variance analysis, and reporting. This role is based in San Francisco, CA. We use a hybrid work model with in-office collaboration Monday through Wednesday and offer relocation assistance to new employees. In this role, you will: Build and run the core Marketing planning system, including annual and half-ye

About the Team OpenAI's Go-To-Market (GTM) organization helps customers adopt and scale our AI products. As the business grows, we are looking for a strategic operator to lead high-impact GTM programs that improve execution across the organization. In this role, you will partner with leaders across Sales, Product, Marketing, Product Marketing, Operations, Enablement, Finance, and Communications to drive complex cross-functional initiatives from strategy through execution. You will bring structure to ambiguity, align stakeholders around shared priorities, and build repeatable operating mechanisms that help the business scale. In this role, you will: Lead high-priority GTM programs, including product launches, sales plays, customer initiatives, and other strategic cross-functional efforts. Build program plans, operating cadences, governance, and executive communications that keep teams aligned and accountable. Partner with GTM leadership to prioritize initiatives, identify risks, and drive execution against company goals. Develop data-driven insights using pipeline, productivity, customer, and field signals to inform decisions and improve program outcomes. Build scalable processes, planning mechanisms, and operating rhythms that improve how cross-functional programs are executed. Influence stakeholders across GTM, Product, Marketing, Finance, and Operations to deliver measurable business impact. You might thrive in this role if you have: 8+ years of experience in GTM Strategy & Operations, Business Operations, Program Management, Management Consulting, Product Marketing, or a related field. A track record of leading complex cross-functional initiatives from strategy through execution. Strong analytical and problem-solving skills, with the ability to bring clarity to ambiguous business challenges. Excellent stakeholder management and communication skills, with experience influencing senior leaders across functions. Ability to thrive in a fast-paced environment, man

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Dublin Office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflo

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Tokyo office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflow

About the team The Applied AI Engineering (AAE) team is responsible for helping developers and enterprises turn the potential of generative AI into real-world impact. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact AI use cases and bring them into production through strong architectural guidance and hands-on execution. The Partner Applied AI Engineering organization works closely with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful adoption of OpenAI technologies. As the leader of the AWS Partner AAE pod, you will manage a team of Applied AI Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI’s platform. About the role We are seeking a Manager, Partner Applied AI Engineering – AWS to lead a team of Applied AI Engineers supporting strategic AWS ecosystem partnerships. In this role, you will own the technical success strategy for AWS-aligned partners and help build scalable, repeatable ways for partners and their customers to adopt OpenAI technologies. Your team will guide partners and customers across the full AI implementation lifecycle—from identifying and shaping high-value use cases to solution design, architecture, production deployment, optimization, and adoption growth. You will work cross-functionally with internal and external stakeholders across Sales, Partnerships, Product, Research, and Engineering to ensure the voice of partners and customers informs our platform roadmap and how we bring OpenAI technology into production at scale. This role requires a blend of technical depth, customer leadership, operational rigor, and people management. Success will be measured through production deployments, partner technical maturity, API adoption growth, team development, and the overall impact of the AWS partner ecosystem. This role is based in our San Fra

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role can be based in Delhi, Mumbai or Bangalore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. We are looking for an experienced Tech Recruiter (5+ years) to drive end-to-end hiring for technical roles across engineering and product teams. You will partner closely with hiring managers, founders/leadership, and cross-functional stakeholders to build strong talent pipelines, improve hiring processes, and deliver a high-quality candidate experience. This is a high-impact role requiring strong stakeholder management, sourcing expertise, and the ability to hire at speed without compromising quality. Key Responsibilities End-to-End Tech Hiring Own the full recruitment lifecycle: intake, sourcing, screening, interview coordination, offer management, and onboarding support. Manage multiple requisitions across levels (IC, lead, manager) and functions (Backend, Frontend, Full Stack, Mobile, Data, ML, DevOps, QA). Run structured intake meetings and align hiring plans with stakeholders. Sourcing & Pipeline Development Build proactive talent pipelines using LinkedIn Recruiter, GitHub, job boards, communities, and referrals. Execute creative sourcing strategies for niche and high-demand technical skills. Maintain consistent pipeline health and share weekly hiring progres

About the Role We are looking for a powerhouse Head of Go-To-Market (GTM) / Growth to own the entire commercial launch and expansion strategy for our product. This isn't a traditional, siloed marketing or sales role—this is a unified, high-impact position designed for a strategic leader who views marketing, launch mechanics, demand generation, and sales enablement as a single, continuous motion. As a product goes live, you will literally be the person who takes the product to market. If you possess a rare blend of sharp marketing instincts and a commercial sales mindset, this role is built for you. Key Responsibilities Your mission is simple yet challenging: bridge the gap between product readiness and market dominance.  The Launch Mastermind: Own the end-to-end launch strategy for our product. You will define the positioning, messaging, and rollout phases to ensure maximum impact on day one.  Unified GTM Execution: Treat marketing, demand gen, and sales enablement not as separate departments, but as a single, cohesive engine.  Demand Generation: Design, execute, and scale data-driven inbound and outbound campaigns that build a robust, high-converting pipeline.  Sales Enablement: Arm the sales team with the exact tools, collateral, competitive intelligence, and playbook they need to close deals faster.  Cross-Functional Leadership: Work hand-in-hand with Product, Engineering, and Executive leadership to align market feedback with product roadmaps. What We Are Looking For  The Sales & Marketing Contour: You don't just sit in a marketing silo or a sales bullpen. You deeply understand the psychology of the buyer (Marketing) and the mechanics of closing a deal (Sales).  Launch Experience: You have a proven track record of successfully launching new products or entering new markets from scratch, preferably in a fast-paced environment.  Data-Driven Builder: You are comfortable working with analytics, attribution models, and CRM data to optimize the funnel contin

Position Overview We are seeking a highly analytical and data-driven Payment Reconciliation Specialist / Analyst to oversee our end-to-end financial reconciliation processes. In this role, you will be responsible for managing high-volume transaction datasets, tracking payment lifecycles, and ensuring absolute financial accuracy across internal systems, payment gateways, and banking partners. The ideal candidate bridges the gap between finance and technology—possessing strong core accounting fundamentals alongside advanced technical skills in SQL and Python to drive automation, eliminate manual workflows, and optimize payment processing costs. Key Responsibilities 1. Core Payment & Financial Reconciliation End-to-End Auditing: Validate transaction records across internal systems, payment gateways (PGs), banking partners, settlement files, and merchant reports. High-Volume Data Analysis: Analyze massive transaction datasets to promptly identify mismatches, pending settlements, duplicate transactions, and financial exceptions. Chargeback Management: Monitor disputed transactions, track the complete chargeback lifecycle, validate reversal entries, and ensure accurate accounting adjustments/recovery. Finance & Accounting Support: Validate transaction postings, track pending receivables, manage refund accounting, handle merchant payout reconciliation, and assist with balance sheet reconciliation. 2. Cost Optimization & Reporting PG Cost Analysis: Monitor and analyze Payment Gateway costs (MDR charges, transaction processing fees, bank charges, gateway settlement fees) to identify cost-optimization opportunities. MIS & Dashboards: Prepare daily, weekly, and monthly MIS reports and design reconciliation dashboards for leadership, finance, and operations teams to support audit readiness. 3. Data Engineering & Process Automation SQL Data Extraction: Write complex SQL queries for reconciliation checks, exception reporting, and data validation across large transactional da

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