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Enterprise Services Manager in India

889 active opportunities · Updated October 2026

Explore current enterprise services manager jobs across India. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 Bengaluru, KARNATAKA, India· Full-time
✓ High-confidence listingCompany trend -70%
Quick readStrong listing-quality and freshness signals

About Bolna Bolna is a Voice AI orchestration platform powering 33M+ calls every month for enterprises across BFSI, e-commerce, logistics, and more. We build intelligent voice agents that businesses can deploy at scale. The challenge? We build great products, but too few people outside our existing customers know about them. We’re hiring a Product Marketing Manager to change that. This Role You’ll own Product GTM end-to-end - from positioning and messaging to launches, product education, and adoption. You’ll work closely with founders, Product, Engineering, and Sales to turn complex technical capabilities into stories, demos, and content that customers understand and care about. You’ll also own the journey from first touch to product activation , identifying drop-offs and driving initiatives to improve adoption. This is a hands-on role for someone who enjoys going deep into a technical product and can use and demo the product themselves . What You’ll Do Own GTM for product launches and major feature releases. Develop positioning, messaging, launch narratives, and product stories . Create launch assets - demos, product pages, documentation, comparison pages, presentations, and content. Own product activation and adoption; identify funnel gaps and work with Product/Growth to improve them. Run webinars, demos, and product education initiatives. Build competitive intelligence, sales enablement, and battlecards. Partner with Sales to understand customer objections and translate them into better GTM. Work with founders, Product, Engineering, and Growth to shape how Bolna goes to market. What We’re Looking For 4–7 years of Product Marketing experience , ideally in B2B SaaS, AI, developer tools, or technical products. Strong experience in product launches, positioning, messaging, and GTM . Excellent written, verbal, and presentation skills. Strong analytical and problem-solving skills. Comfortable working in a 0→1, fast-moving startup environment . Technical curiosity and a

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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 India· Full-time
✓ Quality checkedCompany trend -94.2%

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

JavaScriptPythonJavaAWS
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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 India· Full-time
✓ Quality checkedCompany trend -94.2%

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

JavaScriptPythonJavaAWS
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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 India· Full-time
✓ Quality checkedCompany trend -94.2%

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

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📍 India· Remote
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

UI/UX Designer Projects often need the technical expertise of more than one person. Particle41 provides expert teams that embed directly into businesses for immediate impact and execution towards developing outstanding software. Our clients range from startups to small and medium-sized enterprises. As a UI/UX designer, you’ll work on a handful of digital products across the web and mobile. You’ll communicate with clients to help them understand their customers’ needs, and make design recommendations based on your findings. In This Role, You Will: Apply human-centered design principles to software creation. Develop concepts and prototypes for stakeholders. Iterate quickly on your designs in a lean, agile environment. Articulate design decisions and diplomatically navigate feedback. Conduct user research and analyze data to inform design decisions. Ensure brand and product cohesion by leveraging design systems. Requirements Gathering and Analysis Collaborate with designers, product managers, and other stakeholders to gather requirements and translate them into technical solutions. Participate in requirement analysis sessions to understand business needs and user requirements. Provide technical insights and recommendations during the requirements-gathering process. Agile Development Participate in Agile development processes, including sprint planning, daily stand-ups, and sprint reviews. Work closely with Agile teams to deliver software solutions on time and within scope. Adapt to changing priorities and requirements in a fast-paced Agile environment. Testing and Debugging Conduct thorough testing and debugging to ensure the reliability, security, and performance of applications. Write unit tests and validate the functionality of developed features and individual elements. Writing integration tests to ensure different elements within a given application function as intended and meet desired requirements. Identify and resolve software defects, c

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