Sales Engineer Jobs in Pakistan.
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Customer Engineer - Securiti.ai
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
We’re seeking a technically fluent Customer Engineer to join our Engineering organization and serve as a critical link between Engineering and Go-to-Market (GTM) teams, including Sales Engineering, Professional Services, and Enablement.
This role is embedded within the Development organization, and focuses on helping the GTM teams understand, configure, and support deployments of our Data Security Posture Management (DSPM) platform. While the role is not directly customer-facing, it requires a deep understanding of the product and underlying technologies to ensure field teams are well-supported during pre-sales and post-sales phases.
This is an excellent opportunity for someone with a strong technical foundation who wants to stay close to the technology, without being in a traditional coding role.
What You’ll Do
- Act as a technical liaison between the Engineering team and GTM teams (Sales Engineering, Professional Services, etc.), enabling them with the product knowledge, tooling, setup and deployment support they need.
- Work closely with Engineering to understand new features, deployment requirements, and system behaviors, and translate them into actionable documentation, enablement content, demo environments and tooling for internal teams.
- Assist in internal setup and deployment of DSPM components (Kubernetes-based microservices, data connectors, APIs), and help validate internal staging/demo environments.
- Help develop internal technical resources such as playbooks, integration guides, architecture diagrams, and field enablement materials.
- Support the Go-to-Market team with API usage, scripting (e.g., Python), and basic troubleshooting, particularly during proof-of-concept or pilot phases.
- Read, interpret, and sometimes modify basic code or configuration files to help debug issues or support integration efforts.
- Validate deployment workflows across cloud platforms (e.g., AWS, GCP, Azure) and ensure alignment with field practices.
What You’ll Bring
- 3+ years of experience in a technical role within an engineering or product-focused organization (e.g., dev support, sales enablement, QA, technical consulting).
- Strong understanding of modern cloud-native stacks, including:
- Kubernetes and containerized services
- Cloud infrastructure (AWS/GCP/Azure)
- Data infrastructure (e.g., SQL, data lakes, data warehouses) - Comfort with basic scripting in languages like Python or shell scripting for automating setup, working with APIs, or testing integrations.
- Ability to read and understand application code (e.g., Python, YAML, or JSON configurations) to support basic troubleshooting and deployment workflows.
- Strong communication skills and ability to synthesize technical concepts for internal enablement and cross-functional understanding.
Bonus Skills
- Familiarity with DSPM, CSPM, or adjacent data security and privacy tools
- Prior experience in Sales Engineering enablement, solution delivery, or product support roles.
- Experience with or exposure to DevOps tools such as Helm, Terraform, Docker, and CI/CD pipelines.
Exposure to compliance or risk management concepts (e.g., SOC 2, GDPR). - Experience working in fast-paced, high-growth environments or with distributed technical teams.
What You’ll Get
- Competitive compensation package
- Comprehensive health and wellness benefits
- Professional development opportunities
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Who we are:
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
Visit gomotive.com to learn more.
About the Role:
The Sales Data Quality Analyst II (L4) is a pivotal member of the GTM Strategy and Sales Operations organization, dedicated to ensuring that Salesforce data remains accurate, comprehensive, and actionable across all sales motions. Serving as the primary subject-matter expert for sales data integrity, this role focuses on account and contact data, segmentation, and global hierarchy management (including the UK and Mexico). The Analyst II will design and maintain sophisticated data quality frameworks, conduct deep-dive analyses using SQL and Salesforce, and convert complex data challenges into clear business insights and remediation strategies that bolster pipeline health, territory planning, and executive decision-making.
Responsibilities:
- As a Sales Data Quality Analyst II, the person in this role is expected to:
- Lead high-impact data quality investigations and diagnostics
- Proactively identify data issues and anomalies across accounts, contacts, and opportunities.Use SQL and Salesforce reporting to perform root-cause analysis and quantify business impact.
- Establish and maintain rigorous data quality standards
- Help define what “good” looks like for sales data (e.g., completeness, consistency, and accuracy thresholds).Contribute to and maintain data quality scorecards, rules, and documentation.
- Engineer and oversee proactive data monitoring frameworks
- Build, maintain, and iterate on automated checks and recurring reports that monitor data health (e.g., duplicate detection, missing key fields, invalid hierarchies).Surface prioritized issue lists and trends to GTM stakeholders.Support segmentation and enrichment initiativesPartner with regional teams (e.g., UK contact enrichment, Mexico account segmentation) to define data requirements and coverage goals.Validate enrichment inputs and outputs, ensuring they meet agreed standards before they are rolled out to sales teams.
- Architect account hierarchy and structural integrity
- Support the design and maintenance of parent–child account hierarchies in Salesforce.Ensure that account structures reflect real-world corporate relationships and support roll-up reporting and planning.Partner with Sales, RevOps, and GTM StrategyWork closely with business stakeholders to understand how data is used in daily workflows and executive reporting.Translate data quality findings into clear, actionable recommendations tied to sales outcomes.
- Standardize documentation and operationalize for scale
- Create and maintain process documentation, runbooks, and data dictionaries related to key sales data objects and fields.Recommend process and system changes that reduce recurring data issues and support sustainable data quality improvements.
Qualifications:
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Economics, Business Analytics) or equivalent practical experience in sales data, analytics, or operations.
- Advanced SQL Proficiency: Expert ability to perform data validation, profiling, and reporting across large, complex datasets.
- Salesforce Expertise: Strong working knowledge of Salesforce objects (Accounts, Contacts, Opportunities, custom GTM fields), including complex hierarchies and segmentation logic.
- AI & Automation Proficiency: Experience leveraging AI/ML and LLM-powered tools to accelerate analysis, documentation, and data quality investigations while applying strong human judgment and validation.
- Data Enrichment: Familiarity with data enrichment workflows and rigorous quality checks for third-party data sources.
- Analytical Problem-Solving: Ability to perform structured root-cause analysis and bridge technical issues with tangible business impact.
- Strategic Prioritization: Proven comfort in prioritizing issues based on impact, effort, and evolving stakeholder needs.
- Executive Communication: Ability to communicate complex findings in a clear, concise, and business-friendly way to sales leadership.
- Stakeholder Management: Skill in managing expectations, aligning on priorities, and driving accountability for remediation plans.
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
Please review our Candidate Privacy Notice here.
UK Candidate Privacy Notice here.
The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
Ready to apply?
Apply to Motive
Customer Engineer - Securiti.ai
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
We’re seeking a technically fluent Customer Engineer to join our Engineering organization and serve as a critical link between Engineering and Go-to-Market (GTM) teams, including Sales Engineering, Professional Services, and Enablement.
This role is embedded within the Development organization, and focuses on helping the GTM teams understand, configure, and support deployments of our Data Security Posture Management (DSPM) platform. While the role is not directly customer-facing, it requires a deep understanding of the product and underlying technologies to ensure field teams are well-supported during pre-sales and post-sales phases.
This is an excellent opportunity for someone with a strong technical foundation who wants to stay close to the technology, without being in a traditional coding role.
What You’ll Do
- Act as a technical liaison between the Engineering team and GTM teams (Sales Engineering, Professional Services, etc.), enabling them with the product knowledge, tooling, setup and deployment support they need.
- Work closely with Engineering to understand new features, deployment requirements, and system behaviors, and translate them into actionable documentation, enablement content, demo environments and tooling for internal teams.
- Assist in internal setup and deployment of DSPM components (Kubernetes-based microservices, data connectors, APIs), and help validate internal staging/demo environments.
- Help develop internal technical resources such as playbooks, integration guides, architecture diagrams, and field enablement materials.
- Support the Go-to-Market team with API usage, scripting (e.g., Python), and basic troubleshooting, particularly during proof-of-concept or pilot phases.
- Read, interpret, and sometimes modify basic code or configuration files to help debug issues or support integration efforts.
- Validate deployment workflows across cloud platforms (e.g., AWS, GCP, Azure) and ensure alignment with field practices.
What You’ll Bring
- 3+ years of experience in a technical role within an engineering or product-focused organization (e.g., dev support, sales enablement, QA, technical consulting).
- Strong understanding of modern cloud-native stacks, including:
- Kubernetes and containerized services
- Cloud infrastructure (AWS/GCP/Azure)
- Data infrastructure (e.g., SQL, data lakes, data warehouses) - Comfort with basic scripting in languages like Python or shell scripting for automating setup, working with APIs, or testing integrations.
- Ability to read and understand application code (e.g., Python, YAML, or JSON configurations) to support basic troubleshooting and deployment workflows.
- Strong communication skills and ability to synthesize technical concepts for internal enablement and cross-functional understanding.
Bonus Skills
- Familiarity with DSPM, CSPM, or adjacent data security and privacy tools
- Prior experience in Sales Engineering enablement, solution delivery, or product support roles.
- Experience with or exposure to DevOps tools such as Helm, Terraform, Docker, and CI/CD pipelines.
Exposure to compliance or risk management concepts (e.g., SOC 2, GDPR). - Experience working in fast-paced, high-growth environments or with distributed technical teams.
What You’ll Get
-
Competitive compensation package
-
Comprehensive health and wellness benefits
-
Professional development opportunities
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants with Accuracy, Security, and Explainability like no other solution. Our enterprise RAG and Agentic AI Platform offers unparalleled Accuracy, Security, and Explainability by leveraging the strongest models for retrieval, embedding, reranking, and reasoning, an optimized LLM trained for quality, and advanced Hallucination Mitigation. We are the developers of the Hughes Hallucination Evaluation Model and Correction model, core to ensuring accuracy, quality, and responsible AI that is production ready. These innovations have been cited in the New York Times, Visual Capitalist, and many other leading publications. This platform has allowed us to be very successful with over 100 Enterprise clients including the likes of large US High Tech companies, military organizations, Financial services, Healthcare, and Manufacturing.
Our founding team includes industry veterans and experts in neural information retrieval and distributed systems from Google. Join us as we pursue our mission to help the world find meaning. People at Vectara are passionate about ensuring customers take advantage of breakthroughs in applied Artificial Intelligence (AI) to solve real-world technology and business problems today. Our team is a group of unquestionable all-stars in their respective fields of computer science and business from Google, Cloudera, Splunk, MongoDB, Elastic, and more.
Role Overview:
Vectara is seeking a Senior Platform Software Engineer with strong experience in modern DevOps practices and backend development. In this role, you’ll work on developing IaaC and Helm charts for deploying and managing the core infrastructure that powers our retrieval-augmented generation and agentic AI platform, as well as design and development of features in the platform. The design and deployment of the platform requires high availability, scalability, and automation. You will be part of our oncall rotation for addressing customer tickets. The role also requires basic platform and application development skills.
You will work as an integral part of our Forward Deployed Engineering function, working with our Field Engineering team to assist with building and supporting everything from POCs to production applications used by millions of people. In doing this you will contribute to the delivery of customer satisfaction and sales outcomes for our business.
Key Responsibilities:
- Proficiency in AI-assisted coding; able to do multiple tasks at once and manage AI agents to quickly execute.
- Drive infrastructure automation, CI/CD, and monitoring/alerting pipelines.
- Collaborate with Field Engineering teams to support PoCs, and Platform deployments in customer Cloud VPCs and on-prem.
- Deploy, scale, and optimize ML/NLP workloads, especially model inference.
- Lead initiatives to improve system reliability, scalability, and developer experience.
- Contribute to architecture and infrastructure decisions as we scale our platform.
- Champion best practices in code quality, testing, and DevOps culture across the team.
- Design, implement, and maintain scalable and secure backend services and platform components.
Qualifications:
- 5+ years of experience as a software engineer with a focus on backend systems and platform engineering.
- At least 2 years of devops experience.
- At least 2 years of development experience.
- Deep experience with all computing environments (GCP, AWS, Onprem, or Azure).
- Strong understanding of containerization and orchestration (Docker, Kubernetes).
- Experience with observability tools (Prometheus, Grafana, ELK/EFK, etc.).
- Experience working on ML platforms or supporting ML workloads in production.
- Familiarity with data infrastructure (e.g., Kafka, Spark, Airflow).
- Proficiency in languages like Go, Python, or Java; experience with infrastructure-as-code (Terraform, Pulumi, etc.).
- Experience with providing technical support of custom-developed systems to customers.
Equity and Salary Range:
Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business.
Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.
Ready to apply?
Apply to Vectara