The Opportunity

The Monetization Team powers Postman pricing & packaging, and scales its business.

We build and operate mission-critical billing systems that handle:

• Payments & renewals
• Subscription lifecycle
• Sales, tax & compliance
• Revenue systems
• Post Purchase product onboarding 

As Postman grows, we are evolving towards a config-driven, highly scalable platform that supports both self-serve and sales-led motions globally.

We’re looking for a Front End Senior Engineer who can lead the development of the user-facing platform, driving technical excellence in UI architecture and product innovation in the monetization experience.

What You'll Do

• Build & Optimize Monetization Experiences
  Design, develop, and own the user interfaces for key monetization flows, including checkout, subscription management, and pricing pages.
• Drive UI Architecture and Performance
  Establish and enforce best practices for front-end architecture, ensuring high performance, scalability, and maintainability across all user-facing features.
• Implement Config-Driven UIs
  Develop reusable UI components and systems to dynamically render pricing, packaging, and configuration settings driven by backend services.
• Enhance Admin and Sales Workflows
  Build and improve internal-facing applications (Admin UIs) to enable sales, finance, and support teams to manage custom contracts, discounts, and user subscriptions efficiently
• Collaborate Cross-Functionally
  Partner with Product, Design, Support, Security, and Platform teams to deliver impactful solutions and ensure a consistent user experience.
• Raise the Engineering Bar
  Conduct thorough code reviews, define front-end best practices, mentor engineers, and influence decisions on UI technology stack and tooling.

About You

• 6+ years of experience designing and building complex, high-traffic web applications.
• Strong proficiency in:
• Modern JavaScript/TypeScript and one or more leading front-end frameworks (e.g., React, Node.js, Angular).
• Advanced state management techniques and architectural patterns for large-scale single-page applications (SPAs).
• Deep expertise in:
• Front-end performance optimization (e.g., bundle size, critical rendering path, load times).
• Cross-browser compatibility and accessibility (WCAG standards).
• Integrating and consuming RESTful and/or GraphQL APIs efficiently.
• Hands-on experience with:
• Unit, Integration, and End-to-End testing frameworks
• Bundling and building tools.
• CI/CD pipelines for front-end deployments.
• Proven track record of:
• Translating complex design mockups into high-fidelity, responsive user interfaces.
• Leading technical design and implementation of major front-end features.
• Strong collaboration skills, comfortable working with and challenging PMs, EMs, and stakeholders.
• (Bonus) Experience with A/B testing frameworks and deep understanding of user experience principles in high-stakes transaction flows (e.g., checkout, billing portals)

Customer Success / Sr Customer Success Manager (US-Region)

Experience: 7+ years

Location: Bangalore/Coimbatore/ India (Remote)

Who we are and What we do?

AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated certificate lifecycle management. At AppViewX, you will get to work with our AVX ONE platform that provides complete certificate lifecycle management and PKI-as-a-Service using streamlined automation workflows to prevent outages, reduce security incidents and enable crypto-agility. AppViewX is also certified as a Great Place to Work in India, cementing us as an employer of choice.

What will you be responsible for?

Customer Success Manager play a key role in driving Customer onboarding, adoption of product and identifying new business opportunities for customers by being a customer advocate. As a CSM you work closely with customers to discover their business objectives/challenges and then coach them on how to use AppViewX to solve them. Part coach, project manager, product expert and Customer Success Manager are continually focused on helping our customers attain value through AppViewX.

• Onboarding
  • Work closely with Sales teams to help transition the account from Pre-Sales to the Customer Success Management
  • Work with customers to establish critical goals or other key performance indicators for Go-live.
  • Establish measurable criteria for success based on customer goals thereby building organizational alignment with Product Management/Onboarding/Services for Go-live.
  • Work with the Onboarding team to ensure customers are onboarded quickly with Key objective/ met in a stipulated time

• Adoption and Value Quantification:
  • Accelerate adoption of new solutions by helping prioritize projects and support activities that deliver the best ROI within the shortest time frame
  • Work closely with customer Champions/Economic Buyers including Director/Manager/Engineer Level stakeholders to drive value realization through Deliver Quarterly Business reviews and adoption workshops
  • Understand customer pain points and help drive escalations by coordinating between Product Management and Support
  • Conduct product demonstrations and presentations under the guidance of experienced
  • Be the customer's concierge, counsel and coach to achieving business outcomes and new goals are continuously set – and in the process generate referrals and advocates

• Customer Experience/Engagement

• • Integrate retention, adoption, user experience and happiness as part of every customer engagement
  • Partner with CS Operations to plan outreach campaigns based on customer
  • Consistently meet and exceed weekly/Monthly/Quarterly engagement goals for providing touch points for existing
  • Manage Product Feature, custom requirements with relevant internal stakeholders to ensure delivery and adoption risks are
  • Efficiently manage time to focus on essential activities to ensure customer satisfaction, account renewal, and account
  • Travel to the USA and Europe on Business Visa to grow customer network when required

• Renewal /Upsell/Cross Sell
• • Maintain the Annual Recurring Revenue from assigned accounts by managing account retention and
  • Work closely with Account Sales teams with identifying Upsell/Cross-sell opportunities in existing customers

What do we require?

• Customer facing experience in Solutioning /Post Sale Support/Customer Success/Project management with a Technical
• Experience in handling Enterprise customer accounts in the current / previous roles
• Strong customer management skills during advocacy/escalation with ability to influence clients'
• Good understanding of key technical concepts around Network, PKI, Automation, Security and systems
• Willingness to learn and understand our solutions and being able to teach the product to our customers
• Time management skills and the ability to multi-task across multiple
• Worked and interacted with F500 organizations in the North American or European markets
• Exceptional communication skills, both oral and written, coupled with excellent listening skills
• Comfortable working in extended time zones to align with the global team and in a fast-paced environment

What’s more in store? 

AppViewX is on par with leading global companies when it comes to the benefits it offers its employees, ranging from competitive incentives, health & wellness policies, saving & investment schemes, time off/sabbatical eligibility and dedicated L&D.

What we consider equally important is the flexibility we offer our employees to – work remotely, define their own hours, and more importantly harmonize both work and life. The more trust and accountability we place on our employees, the more they surpass our goals and expectations. 

Why AppViewX? 

AppViewX caters to a wide range of customers from Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. Over the years, we grew our diverse team, perfected our automation platform, and expanded our Global footprint to India, North America, United Kingdom and Australia. Today, we are headquartered in New York City and have come a long way by optimizing opportunities to create lasting relationships with enterprises, gaining unshakable customer trust along the way.

AppViewX is proud to be an Equal Employment Opportunity Employer. It is AppViewX’s policy to afford equal employment opportunities to all employees regardless of race, color, national origin, ancestry, religion, citizenship status, , gender, gender expression or identity, sexual orientation, age, marital status, military or veteran status, pregnancy, disability, genetic information, arrest record, or other protected class under state, federal, or local law.

Role 

We are looking for a Sr. Staff Software Development Engineer to join our Technical Implementation and Integration team. This is a remote role based in India, reporting to the Senior Director, Threat Research. 

You will be responsible for connecting and onboarding diverse cybersecurity data sources, mapping and normalizing security data to power exposure and threat management use cases, and customizing workflows to deliver measurable outcomes. This role requires technical depth, comfort with complex datasets, and the ability to communicate with both technical and non-technical stakeholders.

What you’ll do (Role Expectations)

• Partner with Sales, Product, and Services to translate complex customer requirements into actionable implementation and integration plans
• Connect diverse cybersecurity and IT sources including EDR, Cloud, and CI/CD while performing data mapping, normalization, and enrichment
• Audit customer data across environments to identify quality issues, security gaps, and specific remediation steps
• Use Python and APIs to configure, customize, and automate data transformations and platform workflows
• Communicate technical findings to stakeholders and provide field-based insights to Engineering to drive product improvements

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 8+ years of experience with strong understanding of IT systems, development, and DevOps concepts including APIs, CI/CD, containers, and cloud basics
• Professional experience with cybersecurity concepts, specifically vulnerability management, exposure management, and threat management
• Proven experience with data analysis, data modeling, and SQL with the ability to troubleshoot data issues end-to-end
• Working proficiency in Python for data parsing, transformations, API interaction, and automation
• Excellent problem-solving abilities and a high level of attention to detail

What Will Make You Stand Out (Preferred Qualifications)

• Bachelor’s degree in Computer Science, Information Technology, or equivalent professional experience
• Experience integrating security tools and data such as SIEM, EDR, VM scanners, CNAPP/CSPM, ticketing/CMDB, identity, or cloud logs
• Direct experience working with data transformation pipelines

#LI-RM6 #LI-Remote

Role

We are looking for an Escalation Engineer to join our team in a hybrid capacity based in Bangalore/Mohali, reporting to the Senior Manager, Product Support. The Escalation Engineer will provide world-class post-sales technical support to internal Level I & Level II Support Engineers, as well as provide direct support to customers and partners on escalated issues, as part of an escalation team. The Escalation Engineer will also work directly with Operations and Engineering on opening bugs and requests with all required diagnostic information.  

What you’ll do (Role Expectations)

• Engage with customers on escalated support issues or critical customer situations and participate in a 24x7 Support Operation and 24x7 on-call rotation
• Interface with Engineering and assist the customer with testing or troubleshooting
• Reproduce customer issues to verify problems and provide feedback to Engineering and Operations teams
• Create entries in our technical support online database to accurately document any incident resolution that is not found in our knowledge base
• Understand the product direction and customer use-cases and provide input on product and code changes through all points of the product cycle

Who You Are (Success Profile)

• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• 8+ years of experience as a Support Engineer or Senior Support Engineer supporting networking or web security products
• Practical knowledge of networking and security products and enterprise network infrastructure
• Experience troubleshooting network issues and familiarity with necessary tools such as Ping, Traceroute, and MTR
• Hands-on experience with SD-WAN, Routing protocols (BGP, OSPF), Firewall, Switching, SSL, SWG, VPN, and VDN
• Working knowledge and hands-on experience with Ubuntu and Python

What Will Make You Stand Out (Preferred Qualifications)

• Demonstrated experience with Zscaler products (ZIA, ZPA, ZDX) or similar cloud security platforms, including TLS/SSL inspection and authentication flows
• Proficiency in scripting for automation, efficient troubleshooting, and reproducing complex customer environments

#LI-Hybrid 

#LI -RG

Role

We are looking for an Escalation Engineer to join our team in a hybrid capacity based in Bangalore, reporting to the Sr. Manager, Customer Support. The Escalation Engineer will provide world-class post-sales technical support to internal Level I & Level II Support Engineers, as well as provide direct support to customers and partners on escalated issues, as part of an escalation team. The Escalation Engineer will also work directly with Operations and Engineering on opening bugs and requests with all required diagnostic information.  

What you’ll do (Role Expectations)

• Engage with customers on escalated support issues or critical customer situations and participate in a 24x7 Support Operation and 24x7 on-call rotation
• Interface with Engineering and assist the customer with testing or troubleshooting
• Reproduce customer issues to verify problems and provide feedback to Engineering and Operations teams
• Create entries in our technical support online database to accurately document any incident resolution that is not found in our knowledge base
• Understand the product direction and customer use-cases and provide input on product and code changes through all points of the product cycle

Who You Are (Success Profile)

• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• 8+ years of experience as a Support Engineer or Senior Support Engineer supporting networking or web security products
• Practical knowledge of networking and security products and enterprise network infrastructure
• Experience troubleshooting network issues and familiarity with necessary tools such as Ping, Traceroute, and MTR
• Hands-on experience with SD-WAN, Routing protocols (BGP, OSPF), Firewall, Switching, SSL, SWG, VPN, and VDN
• Working knowledge and hands-on experience with Ubuntu and Python

What Will Make You Stand Out (Preferred Qualifications)

• Demonstrated experience with Zscaler products (ZIA, ZPA, ZDX) or similar cloud security platforms, including TLS/SSL inspection and authentication flows
• Proficiency in scripting for automation, efficient troubleshooting, and reproducing complex customer environments

#LI-Hybrid 

#LI-NT1

Role

We are looking for an Escalation Engineer to join our team in a hybrid capacity based in Bangalore, reporting to the Sr. Manager, Customer Support. The Escalation Engineer will provide world-class post-sales technical support to internal Level I & Level II Support Engineers, as well as provide direct support to customers and partners on escalated issues, as part of an escalation team. The Escalation Engineer will also work directly with Operations and Engineering on opening bugs and requests with all required diagnostic information.  

What you’ll do (Role Expectations)

• Engage with customers on escalated support issues or critical customer situations and participate in a 24x7 Support Operation and 24x7 on-call rotation
• Interface with Engineering and assist the customer with testing or troubleshooting
• Reproduce customer issues to verify problems and provide feedback to Engineering and Operations teams
• Create entries in our technical support online database to accurately document any incident resolution that is not found in our knowledge base
• Understand the product direction and customer use-cases and provide input on product and code changes through all points of the product cycle

Who You Are (Success Profile)

• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• 8+ years of experience as a Support Engineer or Senior Support Engineer supporting networking or web security products
• Practical knowledge of networking and security products and enterprise network infrastructure
• Experience troubleshooting network issues and familiarity with necessary tools such as Ping, Traceroute, and MTR
• Hands-on experience with SD-WAN, Routing protocols (BGP, OSPF), Firewall, Switching, SSL, SWG, VPN, and VDN
• Working knowledge and hands-on experience with Ubuntu and Python

What Will Make You Stand Out (Preferred Qualifications)

• Demonstrated experience with Zscaler products (ZIA, ZPA, ZDX) or similar cloud security platforms, including TLS/SSL inspection and authentication flows
• Proficiency in scripting for automation, efficient troubleshooting, and reproducing complex customer environments

#LI-Hybrid 

#L1RR1

Role 

We are looking for a Principal Software Development Engineer to join our Technical Implementation and Integration team. This is a remote role based in India, reporting to the Senior Director, Threat Research. 

You will be responsible for connecting and onboarding diverse cybersecurity data sources, mapping and normalizing security data to power exposure and threat management use cases, and customizing workflows to deliver measurable outcomes. This role requires technical depth, comfort with complex datasets, and the ability to communicate with both technical and non-technical stakeholders.

What you’ll do (Role Expectations)

• Partner with Sales, Product, and Services to translate complex customer requirements into actionable implementation and integration plans
• Connect diverse cybersecurity and IT sources including EDR, Cloud, and CI/CD while performing data mapping, normalization, and enrichment
• Audit customer data across environments to identify quality issues, security gaps, and specific remediation steps
• Use Python and APIs to configure, customize, and automate data transformations and platform workflows
• Communicate technical findings to stakeholders and provide field-based insights to Engineering to drive product improvements

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 14+ years of experience with strong understanding of IT systems, development, and DevOps concepts including APIs, CI/CD, containers, and cloud basics
• Professional experience with cybersecurity concepts, specifically vulnerability management, exposure management, and threat management
• Proven experience with data analysis, data modeling, and SQL with the ability to troubleshoot data issues end-to-end
• Working proficiency in Python for data parsing, transformations, API interaction, and automation
• Excellent problem-solving abilities and a high level of attention to detail

What Will Make You Stand Out (Preferred Qualifications)

• Bachelor’s degree in Computer Science, Information Technology, or equivalent professional experience
• Experience integrating security tools and data such as SIEM, EDR, VM scanners, CNAPP/CSPM, ticketing/CMDB, identity, or cloud logs
• Direct experience working with data transformation pipelines

#LI-RM6 #LI-Remote

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

As a Senior Software Engineer on this team, you'll be hands-on building the systems that other Toast engineers depend on every day: the LLM proxy, agentic workflows, and the plugin marketplace that brings AI-native development practices to teams across the company.

This is a hybrid role with 2 days per week in the Bengaluru office.

A day in the life (Responsibilities)

• Design, build, and ship features across AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines
• Develop and extend autonomous agents that participate in the SDLC, such as the AI Review GitHub App and Developer Platform MCP integrations
• Build on and contribute to the internal plugin marketplace, developing plugins that encode Toast's architectural standards and quality practices into AI assistant behavior
• Implement MCP (Model Context Protocol) services and service templates that make it faster and easier for teams across Toast to build AI-powered workflows
• Write high-quality, well-tested code and participate in design and code reviews
• Collaborate with engineers, product managers, and platform teams to understand developer needs and translate them into reliable platform solutions
• Contribute to the team's adoption of agentic development practices and tooling
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• Bachelor’s Degree with relevant experience of 5+ years in designing and implementing scalable backend services
• Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and an interest in extending them through custom plugins, skills, or hooks
• Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks
• Working knowledge of prompt engineering and how LLM behavior responds to context and instructions
• Strong foundation in Java, Kotlin, or another object-oriented language
• Experience with distributed systems, REST APIs, and cloud-native infrastructure
• Strong customer empathy and a drive to make developers' lives better through reliable, well-designed platform solutions

What will help you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms, internal tooling, or API gateways
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

#LI-HYBRID

When was the last occasion you had the opportunity to contribute to a company that is shaping an industry and empowering individuals to translate ideas into tangible impact with speed? Smartsheet's core mission is to empower everyone to enhance their work processes. Our business model is founded on identifying exceptional talent and providing them with the autonomy to develop our acclaimed Software as a Service (SaaS) offering. With a user base exceeding 10 million, our platform is utilized across various industries, including construction, retail, and software development, presenting us with unique technical challenges.

Smartsheet is seeking a Senior Business Systems Engineer to join our Corporate Systems Development team in Bangalore. This role focuses on building and maintaining scalable backend integrations using AWS services, powering mission-critical data flows across internal systems in Finance, People, Sales, Legal, and Engineering. You’ll develop solutions leveraging tools like AWS Lambda, SQS, SNS, and languages such as Node.js and Python, integrating systems such as Salesforce, NetSuite, Workday, Snowflake, and other enterprise platforms. If you thrive on backend architecture, cloud automation, and building systems that scale, this role is for you.

This role is based in Bangalore, India, reporting to the Senior Manager, Systems Development, and collaborating closely with global engineers, system analysts, and architects.

You Will:

• Design, build, and maintain backend integrations using AWS services such as Lambda, S3, SQS, SNS, and EventBridge
• Develop API-based automations and orchestrate data flows between Salesforce, NetSuite, Workday, Snowflake, and other SaaS platforms
• Refactor and enhance legacy integration logic to align with modern architecture standards
• Own your code from design through CI/CD (GitLab) and deployment via Terraform/CloudFormation
• Collaborate with US-based engineers on shared initiatives, sprint planning, code reviews, and technical handoffs
• Participate in a shared production support rotation, resolving critical integration and data pipeline issues
• Provide technical mentorship to junior engineers, especially on high-complexity initiatives
• Partner with architects and BSAs to review integration design and testing strategies for reliability and resilience
• Support both ETL-style batch pipelines and real-time event streaming using CDC and platform events
• Contribute to evolving team SOPs, architecture standards, and shared development libraries
• Lead backend development within complex cross-functional projects, including work breakdown and delivery tracking

You Have:

• BS in Computer Science, related field, or equivalent industry experience
• 7+ years of experience in backend software development or automation using Node.js, Python, VS code or similar
• Strong experience with AWS services, especially Lambda, S3, SQS/SNS, EventBridge, DynamoDB
• Expertise in database design, schema modeling, and query optimization (DynamoDB & Snowflake preferred)
• Strong grasp of integration design patterns, secure API development (REST/SOAP), and system interoperability
• Develop and maintain GitLab based CI/CD pipeline implementations for tests, linting, deployment, etc.
• Experience with managing infrastructure as code (Terraform, CloudFormation)
• Demonstrated experience building and maintaining integrations with Salesforce, NetSuite, Workday, Coupa, Stripe, Snowflake
• Familiarity with data validation, schema evolution, and cross-system reconciliation (preferred)
• Excellent collaboration and communication skills in a distributed, global team setting
• Confidence navigating production environments, owning critical issue resolution from end to end
• Experience delivering integrations and automation solutions across Finance, People, Sales, Legal, BI
• Proven ability to lead initiatives and proactively communicate with technical and non-technical stakeholders
• Comfortable working independently, while also mentoring and reviewing work for Level 1/2 developers
• The flexibility to adjust to changing priorities, new technologies, and evolving project requirements.
• Comfortable operating in an Agile environment, and familiar with Sprint ceremonies like Daily stand-up, Sprint planning,Sprint Finalization etc. 
• Familiar with prompt engineering / Generative AI for code generation is preferred

The Team:

As an Applied Value Engineer you push the envelope in solving mission-critical problems for our customers. You will work with our most strategic customers, understand their strategy and key challenges, and build Celonis solutions using cutting-edge AI technologies from market leaders such as Microsoft and OpenAI. With Celonis’ market-leading Process Intelligence (PI) Platform we feed operational context to AI so it understands our customers’ businesses and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to executives, and ensure successful implementation, adoption and value realization to increase Celonis' footprint at those customers.. 

The Role:

As an Applied Value Engineer, responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and industries and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The work you’ll do:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Identify & Frame Value:
  Discover and translate customers’ strategic priorities into high-impact Celonis use cases
  Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers 
  Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity and strategic roadmap to C-Level executives
• Realize Value:
  Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement
  Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives
  Present results and realized value to senior management and C-level executives
• Scale Value:
  Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing
  Build a strategic expansion roadmap for customers embedding Celonis Process Intelligence as a strategic business transformation platform in their organization and therefore drive adoption and expansion
  Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use case

The qualifications you need:

• Live for Customer Value: 4+ years of experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy. Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise.
  Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e.g. SAP/ Oracle),  experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Hands-on Experience with Process Mining tools and technologies is preferred. Hands-on SQL experience and Python is preferred . Experience in collaborating with IT teams.
• Process Improvement & Value Realization: Experience in identifying business use cases for business process improvement and deploying improvement measures, being a change agent and training users/process owners to realize value. Domain and industry knowledge such as Supply chain, finance, CPG, BFSI, Manufacturing etc. would be a plus.
• Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.
• Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills in English.
• Healthcare & LifeSciences experience is a big plus for this role

The Role:

• As an Applied Value Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

The work you’ll do:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
• Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
• Ensure Successful Project Outcome: Applied AI Solution Engineer stay involved with projects until agreed value & adoption thresholds are reached
• Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Solution Engineers specialize in domains (e.g. supply chain) and industries

The qualifications you need:

• 3-5 years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
• Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
• Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future. 

Bready* to make a change?

Toast is looking for a Staff Machine Learning Engineer to serve as a technical linchpin for our AI Platform team. At the P4 level, you aren't just deploying models; you are designing the fundamental infrastructure that enables dozens of teams to build, deploy, and monitor AI at scale. You will act as a force multiplier, mentoring senior engineers and setting the architectural standards for our MLOps lifecycle—from feature stores and automated retraining to high-performance inference at the edge.

About this Roll*:

• Architectural Leadership: Design and lead the evolution of a unified MLOps platform that supports diverse needs across Toast, ensuring high availability, scalability, and security of ML services.
• Engineering Excellence: Champion and institutionalize best practices for CI/CD for ML (MLOps), automated testing, and infrastructure-as-code (Terraform).
• Cross-Functional Synergy: Lead collaborative efforts across Data Engineering, DevOps, and Product teams to bridge the gap between model prototyping and production-grade reliability.
• Strategic Roadmapping: Partner with leadership and Product Managers to define the 1-2 year technical vision for AI infrastructure, prioritizing long-term stability over short-term fixes.
• Operational Ownership: Set the standard for observability and incident response for ML systems, driving root-cause analysis for complex system failures.
• Mentorship: Actively mentor P2 and P3 engineers, fostering a culture of technical rigor and continuous learning.

Do you have the right ingredients*?

• Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
• Experience: A minimum of 10-12+ years of professional software engineering experience, with at least 6-7 years specifically focused on productionizing and scaling ML systems at the enterprise level.
• Core Tech Stack: Expert-level proficiency in Python, Scala, or Java/Kotlin. Extensive experience with PySpark and high-performance computing.
• Generative AI & LLMOps: Proven track record of taking LLM applications from research to production, including experience with Vector Databases, LangChain/LangGraph, and A2A protocols.
• System Design: Superior ability to design distributed systems that handle millions of requests with sub-second latency.
• Experience with microservice based architecture, preferably with AWS tooling (SageMaker, DynamoDB, Athena, Glue, etc.)
• Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration, MLflow
• Profound knowledge of model deployment, orchestration (Apache airflow, Prefect), scaling, and managing CPU/GPU resources efficiently. 
• Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach. 
• Outstanding communication and interpersonal skills, coupled with a demonstrated ability to work collaboratively within a team environment.
• Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable

Bonus Ingredients (The "Staff" Edge)

• Data Strategy: Experience implementing enterprise-grade Feature Stores (e.g., Tecton, Feast) and real-time streaming frameworks like Apache Flink or Ray.
• Full-Stack Visibility: Ability to dive into the UI/UX layer (React) or deep into the kernel/networking layer to debug performance bottlenecks.

Open Source/Community: Contributions to relevant open-source projects (MLflow, Kubeflow, etc.) or a history of speaking at industry conferences.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

As a Staff Software Engineer on this team, you'll shape the foundation others build on: from the LLM Proxy that routes all internal AI traffic, to autonomous agents that participate directly in the software development lifecycle. If you want to work at the frontier of AI infrastructure and see your work amplify hundreds of engineers across a fast-growing company, this is the role.

A day in the life (Responsibilities)

• Design, build, and ship core AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines powering Toast's internal AI ecosystem
• Architect and deliver autonomous agents that participate in the SDLC, including the AI Review GitHub App and Developer Platform MCP integrations
• Build on and help maintain the internal plugin marketplace, developing plugins that encode Toast's architectural standards, PR patterns, and quality practices directly into AI assistant behavior
• Lead technical design and implementation of MCP (Model Context Protocol) services and no-code service templates that accelerate AI-powered development across Toast
• Drive adoption of agentic development practices through tooling, internal evangelism, and hands-on enablement across engineering teams
• Mentor engineers through code reviews, architecture discussions, and pairing sessions
• Partner with product and platform teams to define and expand the AI Foundations roadmap

What you'll need to thrive (Requirements)

• 8+ years of experience designing and implementing scalable backend services
• Strong foundation in Java, Kotlin, or another object-oriented language, with experience building scalable backend services
• Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
• Deep familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and the ability to extend them through custom plugins, skills, or hooks
• Hands-on experience with MCP (Model Context Protocol), tool use patterns, or agentic frameworks
• Strong prompt engineering skills and intuition for how LLM behavior changes with context, instructions, and tool definitions
• Proven track record of technical leadership: influencing architecture decisions, setting quality standards, and mentoring peers
• Experience with distributed systems, API design, and cloud-native infrastructure
• Strong customer empathy and the ability to translate developer pain points into platform solutions

What will help you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms, internal tooling, or API gateways
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

This is a hybrid role with 2 days per week in the Bengaluru office

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Reports To

Software Engineering Manager

We are seeking a Senior Software Engineer to play a vital role in developing our Energy Management platform. In this influential position, you will help shape, build, and sustain a robust suite of micro-services. Your work will significantly affect our long-term technical

strategy. This role demands practical experience in every stage of microservice development, including architecture design, coding, deployment, and monitoring.

What You Will Be Doing

• As a member, you will participate in major initiatives and opportunities, demonstrating your well-rounded skills in communication, technology, and execution to bring a project from inception to general availability for customers.
• You will play a key role in designing industry-leading standards and solutions to develop new solutions and scale ChargePoint to support real-time communication with millions of charging stations.
• As part of the Energy Management team, you will represent Cloud services by executing initiatives in collaboration with cross-functional teams such as Product, Embedded Platform, Quality, Support, and Operations.
• Your goal is not only to resolve their concerns but also to work with them to define and build better solutions. You will work on code directly impacting the business, including developing and maintaining real-time Energy Management solutions that optimise EV charging efficiency.
• Additionally, you are expected to improve the team by contributing to code reviews, documentation, and the development process. You will also champion organisational principles by helping to define and uphold them.

Requirements

• 4+ years of experience building back-end software
• Hands-on with JVM Language is a must, such as Java/Kotlin
• Working experience with Spring Boot, Kafka, and Kubernetes,
• Working experience with modern software architecture components (e.g. Distributed Systems, Containerization, Micro Services, Observability, etc.)
• Working experience in one of the cloud providers (AWS, GCP, Azure, etc.)
• Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering, and Math)
• Good in CS fundamentals - data structures, algorithm design, problem-solving, and complexity analysis.

Personal/Leadership Attributes

• Voices opinions and presents a clear rationale. Uses data or factual evidence to influence.
• Learns the organisation’s vision statement and decision-making framework.
• Able to understand how the team and personal goals/objectives contribute to the organisation’s vision.
• Completes assigned tasks on time and with high quality.
• Has the ability to break down problems and estimate time for development tasks.
• Identifies opportunities for innovation and offers new ideas. Takes the initiative to experiment with new software frameworks
• Adapts to new environments and changing requirements. Pivots quickly as needed. When coached, responds to need & seeks info from other sources.

Location

Bengaluru, India

The Team:

As a Lead Applied Value Engineer you push the envelope in solving mission-critical problems for our customers. You will work with our most strategic customers, understand their strategy and key challenges, and build Celonis solutions using cutting-edge AI technologies from market leaders such as Microsoft and OpenAI. With Celonis’ market-leading Process Intelligence (PI) Platform we feed operational context to AI so it understands our customers’ businesses and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to executives, and ensure successful implementation, adoption and value realization to increase Celonis' footprint at those customers.. 

The Role:

As a Lead Applied Value Engineer, responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and industries and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The work you’ll do:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Identify & Frame Value:
  Discover and translate customers’ strategic priorities into high-impact Celonis use cases
  Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers 
  Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity and strategic roadmap to C-Level executives
• Realize Value:
  Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement
  Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives
  Present results and realized value to senior management and C-level executives
• Scale Value:
  Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing
  Build a strategic expansion roadmap for customers embedding Celonis Process Intelligence as a strategic business transformation platform in their organization and therefore drive adoption and expansion
  Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use case

The qualifications you need:

• Live for Customer Value: 9+ years of experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy. Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise.
  Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e.g. SAP/ Oracle),  experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Hands-on Experience with Process Mining tools and technologies is preferred. Hands-on SQL experience and Python is preferred . Experience in collaborating with IT teams.
• Process Improvement & Value Realization: Experience in identifying business use cases for business process improvement and deploying improvement measures, being a change agent and training users/process owners to realize value. Domain and industry knowledge such as Supply chain, finance, CPG, BFSI, Manufacturing etc. would be a plus.
• Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.
• Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills in English.

Corporate Systems Engineering builds and operates the software platforms, integrations, and automations that power Smartsheet’s core business functions across Finance, Sales/GTM, and People & Culture.  Our team owns mission-critical systems and workflows that enable how the company hires, sells, bills, pays, reports, and scales. We operate at the intersection of software engineering, enterprise platforms, and business-critical data, treating internal systems with the same rigor, reliability, and product mindset as customer-facing software.

The People Systems team engineers and operates platforms that support the employee lifecycle, including HR, payroll, learning, and talent systems.  We balance deep platform configuration with extensibility, integrations, and data integrity to deliver reliable, compliant systems that scale with the organization.

As a Sr. HR Systems Engineer on the People Systems team, you will operate as a technical leader within the People & Culture (P&C) domain, owning complex, high-impact engineering work that extends beyond traditional application configuration. This role focuses on building scalable, reliable, and extensible solutions across Workday, People data, integrations, and automation that support the full employee lifecycle and enable the business to operate with accuracy, speed, and insight. You will work at the intersection of enterprise platforms, custom engineering, and data, helping evolve People Systems from primarily UI-driven administration into a product-grade, engineering-led capability within Product Engineering.

This role is suited for a senior engineer who is comfortable working across configuration, code, integrations, and data - and who enjoys solving ambiguous, cross-functional problems in a regulated enterprise environment.

You Will:

• Act as a senior technical owner within the People Systems domain, responsible for designing and delivering complex solutions across Workday, integrations, and supporting platforms
• Lead engineering efforts related to People data flows, including hire-to-retire lifecycle events, data synchronization, and downstream consumption by Finance, Security, and Analytics
• Design and implement custom extensions and integrations using tools such as Workday Studio, APIs, middleware, or AWS-based services
• Partner with Integrations and Automation teams to build event-driven, automated People workflows (e.g., joiner/mover/leaver, access provisioning, data updates)
• Own the technical design and implementation of People-related integrations and data contracts, ensuring reliability, auditability, and clear ownership
• Contribute to People reporting and analytics initiatives by enabling high-quality, well-modeled People data for BI, compliance, and workforce insights
• Identify opportunities to reduce manual People operations through automation, configuration-as-code patterns, and reusable components
• Provide technical leadership and mentorship to other People Systems engineers, reviewing designs and code and setting quality standards
• Partner closely with Product Managers, HR stakeholders, Security, and Compliance to translate People domain needs into robust technical solutions
• Participate in on-call rotations and operational ownership for People Systems, ensuring reliability and rapid issue resolution

You Have:

• 6-8 years experience building and supporting enterprise systems, with deep exposure to HR/People platforms such as Workday
• Experience extending enterprise platforms through custom development, APIs, middleware, or platform-specific tooling (e.g., Workday Studio or similar)
• Strong understanding of system-to-system integrations, data modeling, and event-driven workflows
• Comfort working across both UI-driven configuration and code-based solutions
• Experience operating in environments with compliance, audit, and security requirements (SOX, ITGC, access controls)
• Ability to lead technical initiatives independently and make sound architectural decisions
• Strong communication skills and comfort collaborating with non-technical stakeholders
• Experience mentoring engineers and raising the technical bar of a team
• Experience with People data analytics, reporting pipelines, or workforce metrics
• Familiarity with identity lifecycle management and security integrations tied to HR systems
• Experience building internal tools or automations that support HR or People Operations teams
• Exposure to cloud platforms (AWS), scripting languages, or automation frameworks
• Experience working in Product Engineering organizations rather than traditional IT

Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will work with Data Engineers to help build scalable and reliable data and reporting infrastructure. You will partner with Analytics decision-makers as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals.

Our ideal candidate is curious and displays an ability to translate abstract data requests into actionable data solutions . To be successful in this role, you are able to communicate to a diverse audience of internal stakeholders. You should have strong technical acumen with data analytics tools and languages, the ability to identify areas of opportunity within the business, and build innovative solutions.

You Will:

• Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to facilitate data across the organization
• Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities
• Mine large datasets to ensure data accuracy and completeness for reporting purposes   
• Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports     
• Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics   
• Automate report generation and distribution to improve efficiency
• Provide technical expertise and guidance to junior analysts on data extraction, transformation, and loading (ETL) processes and reporting best practices
• Ensure data governance and data integrity across all reporting tools and platforms
• Proactively identify and propose improvements to existing reporting processes and systems
• Be a mentor and leader to the more junior analysts on the team
• Perform other duties as assigned

You Have:

• Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, or economics)
• 5+ years of experience in an analytics/engineering role with increasing responsibility
• Experience in Cloud and SaaS go-to-market (GTM)
• Expertise in SQL and preparing data for analysis, modeling, and visualization
• 3+ years of experience using Python for data analysis / automation 
• 3+ years of experience with dbt core
• 3+ years of experience with Git (Gitlab, Github etc.) and CI/CD concepts like branching, merging, Code Reviews etc. 
• Demonstrated experience with a modern engineering tech stack (Airflow, AWS, Docker etc.) 
• Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc.

Nice To Have:

• Experience building ML models
• Proficiency with Tableau preferred
• Experience with statistics (time series analysis, cluster analysis, multivariate analysis)
• Experience publishing and presenting data and findings to executives and non-data users

The Role:

We are looking for a Staff Product Manager for the Merchant Experience Platform within our Omnichannel Fulfillment division. As the PM for this critical platform, you will define and deliver a world-class, seamless merchant experience across the entire journey, from self-serve onboarding and platform configurations to transparent billing and effortless payments. Your mission is to build a fast, intuitive, and reliable platform that serves as the single source of truth for our merchants and powers their success across our logistics ecosystem.

Key Responsibilities:

• Platform Vision & Strategy: Define the multi-year roadmap for the Merchant Experience Platform, encompassing onboarding, integrations, configuration, billing, and payments.
• End-to-End Merchant Journey: Own the experience flow from a merchant's first interaction, through system configuration and data setup, to their ongoing financial transactions and reporting.
• Merchant System Integration Strategy: Drive the strategy for seamlessly integrating with external merchant technologies, including ERP systems (like NetSuite) and e-commerce platforms, ensuring robust data exchange and workflow integrity.
• Billing & Payments Automation: Drive the strategy and execution for automated payment solutions, revenue recognition, and reliable financial reporting.
• Cross-Functional Leadership: Partner with Engineering, Finance, Operations, and Sales to ensure a friction-less merchant journey and accurate financial outcomes.
• Product Leadership & Mentorship: Act as a subject matter expert who coaches and mentors Senior and IC PMs on complex systems thinking, financial modeling, and platform architecture design.

Minimum Qualifications:

• Experience: 8+ years in Product Management, preferably within Logistics Tech, SaaS Integrations, Fintech.
• Technical Proficiency: Deep understanding of APIs, ERP integrations, and financial reconciliation workflows.
• Systems Thinking: You can map out how a physical action in a warehouse triggers reconciliation with a merchant system or triggers a financial event for billing.
• Analytical Rigor: Proven ability to conduct deep quantitative analysis, create complex data models, and use data to diagnose root causes and quantify business impact.
• Problem-Solving Grit: Logistics is messy. You need the ability to find elegant, automated solutions for edge cases and "broken" data.
• Communication: The ability to explain complex financial logic to a software engineer and high-level business impact to a CFO.
• Demonstrated ability to drive results in complex, regulated industries (Logistics, Fintech, Healthcare, etc.).
• Experience owning a product roadmap and delivering measurable business impact (e.g., revenue growth, efficiency gains).

Why This Challenge Matters:

The Merchant Experience Platform is the gateway to Flexport's logistics ecosystem. By owning the entire journey—from an effortless onboarding and configuration process to reliable, transparent billing and payments—you are directly impacting Flexport’s bottom line, driving merchant adoption, and removing the friction that holds global trade back.

Bonus Points if you have:

• Experience with NetSuite, Stripe, or high-volume transactional billing systems.

Why Flexport:

At Flexport, we’re building the future of global trade. Our product team is at the heart of this transformation, driving solutions that have a direct impact on our customers and the logistics industry. We foster a culture of innovation, inclusivity, and continuous learning, giving you the opportunity to work on meaningful, impactful projects while supporting your professional growth.

What's in it for you?

• An opportunity to contribute to one of the fastest-growing companies, where you’ll have the chance to create a global impact while being a part of a thriving multinational environment
• Competitive salary and equity options
• Daily catered lunches, breakfast, snacks and soft drinks available in our office on daily basis
• Comprehensive health and wellness benefits.
• Equity program: every team member becomes a shareholder, aligning our success with yours. As a private company in a multi-trillion dollar industry, you have a direct stake in our collective growth and success.
• Collaborative, inclusive, and diverse work culture.

Flexport is committed to creating a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or veteran status.

#LI-hybrid

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 12–15+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

• Documentation and teaching: you make complex systems understandable; you uplevel teams. 

Location: This is a hybrid position based out of Bangalore, India, 2-3 days per week

The Armis Deployment Engineer is a full-time role dedicated to rapidly deploying the Armis platform for our customers. This position is instrumental in accelerating the time to value by collaborating closely with the Customer Success team to plan, deploy, and operationalise the Armis platform.

The deployment engineer will ensure the implementation and configuration of all aspects of the platform, including reporting, dashboards, policies, and overall system setup, to deliver maximum product value. Additionally, the role involves providing expert support, in-depth analysis, and research to tackle complex issues related to deploying sophisticated cybersecurity infrastructures. 

This is a highly technical, hands-on role that requires maintaining a high level of proficiency with Armis products and solutions within customer networks.

The Armis Deployment Engineer will be responsible for full platform deployment, including, but not limited, to the following activities: 

What you will do:

• Interact across Success/Sales teams and development teams at the peer level as part of the customer onboarding process.
• Expedite the deployment process of the Armis platform, ensuring timely delivery and customer satisfaction.
• Collaborate with the Customer Success team to create and execute deployment plans tailored to each client's unique needs.
• Provide expert support, in-depth analysis, and research to address complex issues related to deploying sophisticated cybersecurity infrastructures.
• Maintain a high level of technical proficiency and hands-on expertise with the Armis products and solutions deployed within the customer’s network.
• Work in collaboration with the Armis success team to refine and translate complex requirements and execute best practice solutions.
• Conduct site surveys and assessments to determine the best placement and setup for collection devices.
• Plan and execute the onsite and/or remote deployment of Armis collectors at various client locations.
• Ensure the customer deployments and configurations align with business use cases as defined by the Success team and drive Armis adoption and implementation plans
• Conduct system assessments and compatibility checks to ensure successful integration with existing client infrastructures.
• Provide on-site and remote technical support during deployment, addressing any issues that arise promptly and effectively.
• Develop and maintain comprehensive deployment documentation, including configuration guides, troubleshooting manuals, and user guides.
• Train clients' technical staff on the operation and maintenance of integrated systems.

What we expect:

• 3+ years experience as full-time Deployment Engineer highly preferred or as a Professional Services Engineer, Consultant, or IT/Operations Engineering
• 5+ years experience in a combination of the following; designing, deploying, configuring, supporting, troubleshooting, debugging and coordinating Unified Communications products, devices, solutions, and technologies for small, medium, large and/or enterprise businesses
• 3+ years experience working in Security/IT/Healthcare/ICT/Commercial sectors

• Experience analyzing, use and configuring medium to enterprise networks.
• Ability to work effectively in an interrupt-driven environment and provide mentorship to other members of the work group.
• Excellent communication and interpersonal skills, with the ability to work effectively with clients and cross-functional teams.
• Strong analytical and problem-solving skills, with attention to detail.
• Ability to work independently and manage multiple deployment projects simultaneously.
• Willingness to travel to client sites as needed (up to 60%)

Technical Skills

• B.S in IT, IS, CS, MIS, (or equivalent degree) and/or relevant industry qualifications (CISSP, Security +,CEH) desired
• Familiarity/Experience in Cyber Security i.e Endpoint, SOAR, SIEM
• Linux Operating System basic operation and troubleshooting (i.e. Redhat Linux /  CentOS)
• Networking (LAN/WAN, Routing/Switching protocols, Network Security)

We know there is a lot to consider when applying for a new job, and quite often job descriptions provide a lot of detail for candidates… but here at Armis, we strongly encourage you to try to avoid the ​​confidence gap​.​​ We don’t expect you to meet each of the listed requirements perfectly to be considered for any of our roles.

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Experience : 5-8 yrs
Location: Bangalore or Willing to Relocate
Job Mode: Hybrid
Education: Minimum Bachelor's Degree Required

Toast has grown to be a leading hospitality software company in the US and is now setting its sights on our next stages of growth.  As the business continues to grow, there is increased demand to enhance the enterprise level of support in the product. Toast customers who managed several restaurants a few years ago are now expanding their business and adding new locations. New enterprise customers are looking to leverage Toast technology to support the growth of their business in new ways. These exciting new opportunities will require Toast to bolster our product offerings

Are you bready* for a change?

Toast is looking for a Senior Software engineer to join our enterprise Away team. You will get to work across the entire Toast platform, including the partner ecosystem. As a member of the enterprise team, you will help ensure that the product is being built to meet the new and expanding needs of these customers.

About this roll* (Responsibilities) 

• Design, build, deploy, and maintain highly resilient and scalable features across Toast’s enterprise management products
• Lead complex projects that improve functionality and reliability for our customers 
• Partner with a wide array of teams across Toast 
• Ensure quality by building automated testing for changes
• Roll* features out to customers, including monitoring for success
• Collaborate with UX and PM on the definition and design of features  
• Mentor and coach other engineers

Do you have the right ingredients*? (Requirements)

• 5+ years experience building backend services and APIs
• Extensive experience working with an Object Oriented Language like Java or Kotlin, with a deep understanding of testing, quality, and best practices
• Experience shipping production services and balancing getting things done with platform stability and reliability
• Experience building backend services and APIs and scaling distributed systems
• Focused on delivering positive impact for Toast customers
• Enjoys working in a team environment with a shared code-base
• Excellent cross-team communication skills on complex technical topics 

We are hiring individuals with a wide range of experience so if you have more or less than these exact roles, please still apply!

Our Tech Stack

Toast’s products run on a stack that ranges from guest and restaurant-facing Android tablets to backend services in Java to internal, guest-facing and restaurant-facing web apps. Our backend services follow a microservice architecture written using Java 8 and DropWizard; we use AWS extensively, ranging from S3 to RDS to Lambda. We have our own platform for dealing with user management, service elevations and robust load balancing. Toast stores data in a set of sharded Postgres databases and utilizes Apache Spark for large scale data workloads including query and batch processing. The front-end is built primarily using React and ES6. The main Toast POS application is an Android application written in Java and Kotlin. For data between tablets and our cloud platform we operate RabbitMQ clusters as well as direct tablet communication to the back end.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

THE ROLE

As a Territory Systems Engineer (TSE), you’ll play a critical role in supporting the Territory Account Executive (TAE) to bring Everpure’s vision to life. You’ll act as the technical backbone of the territory, helping customers and partners validate solutions, modernize their infrastructure, and unlock the full value of their data.
You’ll work closely with the TAE, Partner SEs, and channel partners across your assigned region, enabling technical success throughout the sales cycle. This role combines hands-on technical expertise, partner enablement, and cross-functional collaboration to accelerate deal progression and drive customer outcomes.

At Everpure, you’ll be part of a culture built on curiosity, innovation, and integrity—where technical excellence and collaboration are key to winning. This is your opportunity to grow your career while making a measurable impact in a fast-moving, partner-led environment.

WHAT YOU'LL DO

As a Territory Systems Engineer (TSE), you will:

• Support Technical Sales Execution & Deal Progression: Partner closely with the TAE and Partner SEs to align on technical strategy, validate solutions, and support opportunities throughout the sales cycle.
• Provide Technical Validation & Sizing Expertise: Review and guide complex solution designs, sizing, quotes, and proposal design ensuring accuracy while empowering partners to become more self-sufficient.
• Articulating Everpure’s value: Create Everpure Value Reviews (EVRs) and present them to customers in a clear and compelling way, effectively communicating how Everpure’s solutions deliver meaningful value and benefits to their business. 
• Account management: Maintaining customer satisfaction by collaborating with the support organization and maintaining strong customer relationships.
• Enable Partners & Build Technical Capability: Deliver ongoing enablement to non-named and developing partners through training, tools, and resources to strengthen their technical capabilities and sales effectiveness.
• Act as a Technical Advisor & Helpdesk Resource: Serve as a go-to technical point of contact for partners across the territory, providing troubleshooting support and guidance across customer opportunities.
• Drive Tool Adoption & Sales Process Alignment: Promote and ensure effective use of Everpure’s tools and platforms across the sales cycle to improve efficiency, consistency, and deal velocity.
• Strengthen Channel Collaboration: Build strong relationships with partner SEs, Distribution Account Managers (DAMs), and Partner Technical Managers (PTMs) to align technical and sales efforts across opportunities.
• Coordinate Technical Resources & Events: Organize and support technical workshops, bootcamps, and enablement sessions by collaborating with specialists, corporate teams, and partner stakeholders.
• Support Partner Program Success: Collaborate with DAMs and PTMs to track partner performance, support program initiatives, and contribute to overall partner ecosystem growth.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore/Mumbai office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

To excel in this role, you should have:

• Technical Expertise: A strong foundation in enterprise infrastructure, storage technologies, and modern architectures, with the ability to translate complex concepts into business value.
• Sales & Solution Alignment in partner organization: Experience supporting technical aspects of the sales cycle, including solution validation, sizing, and customer-facing engagements in a B2B technology environment in partner landscape
• Partner-Focused Mindset: Proven ability to work effectively with channel partners, enabling their success while driving alignment across multiple stakeholders.
• Collaboration & Communication: Strong interpersonal and communication skills, with the ability to engage technical and non-technical audiences and build trusted relationships.
• Enablement & Coaching Ability: A passion for teaching, mentoring, and empowering partners through training, tools, and shared best practices.
• Operational Discipline: Ability to manage multiple priorities, coordinate across teams, and maintain structure in a fast-paced, high-activity environment.
• Problem-Solving & Adaptability: A proactive, solutions-oriented mindset with the ability to troubleshoot issues and adapt quickly to changing customer and partner needs.
• Bachelor’s degree (BS/BA/BE) required
• 4-6+ years of B2B professional experience, preferably in systems engineering, technical sales, or customer-facing technical roles
• Experience in enterprise storage or related infrastructure technologies
• Ability to work in a collaborative, team-oriented environment
• Fluency in English required
• Willing to work in the ANZ shift (4:00 AM – 1:00 PM IST) from the office.
• Comfortable with a 5-day work week, including a balanced travel commitment (approximately 50% travel, 50% office-based work).

NICE TO HAVE

• Industry Knowledge:Familiarity with enterprise storage, data management, and emerging infrastructure trends.
• Channel Experience:Understanding of partner-led sales models and experience working within a channel ecosystem.
• Technical Certifications:Relevant certifications in storage, cloud, or infrastructure technologies.
• Digital Tools: Experience using technical and sales tools for sizing, design, and collaboration.

#LI-ONSITE

THE ROLE

As a Territory Systems Engineer (TSE), you’ll play a critical role in supporting the Territory Account Executive (TAE) to bring Everpure’s vision to life. You’ll act as the technical backbone of the territory, helping customers and partners validate solutions, modernize their infrastructure, and unlock the full value of their data.
You’ll work closely with the TAE, Partner SEs, and channel partners across your assigned region, enabling technical success throughout the sales cycle. This role combines hands-on technical expertise, partner enablement, and cross-functional collaboration to accelerate deal progression and drive customer outcomes.

At Everpure, you’ll be part of a culture built on curiosity, innovation, and integrity—where technical excellence and collaboration are key to winning. This is your opportunity to grow your career while making a measurable impact in a fast-moving, partner-led environment.

WHAT YOU'LL DO

As a Territory Systems Engineer (TSE), you will:

• Support Technical Sales Execution & Deal Progression: Partner closely with the TAE and Partner SEs to align on technical strategy, validate solutions, and support opportunities throughout the sales cycle.
• Provide Technical Validation & Sizing Expertise: Review and guide complex solution designs, sizing, quotes, and proposal design ensuring accuracy while empowering partners to become more self-sufficient.
• Articulating Everpure’s value: Create Everpure Value Reviews (EVRs) and present them to customers in a clear and compelling way, effectively communicating how Everpure’s solutions deliver meaningful value and benefits to their business. 
• Account management: Maintaining customer satisfaction by collaborating with the support organization and maintaining strong customer relationships.
• Enable Partners & Build Technical Capability: Deliver ongoing enablement to non-named and developing partners through training, tools, and resources to strengthen their technical capabilities and sales effectiveness.
• Act as a Technical Advisor & Helpdesk Resource: Serve as a go-to technical point of contact for partners across the territory, providing troubleshooting support and guidance across customer opportunities.
• Drive Tool Adoption & Sales Process Alignment: Promote and ensure effective use of Everpure’s tools and platforms across the sales cycle to improve efficiency, consistency, and deal velocity.
• Strengthen Channel Collaboration: Build strong relationships with partner SEs, Distribution Account Managers (DAMs), and Partner Technical Managers (PTMs) to align technical and sales efforts across opportunities.
• Coordinate Technical Resources & Events: Organize and support technical workshops, bootcamps, and enablement sessions by collaborating with specialists, corporate teams, and partner stakeholders.
• Support Partner Program Success: Collaborate with DAMs and PTMs to track partner performance, support program initiatives, and contribute to overall partner ecosystem growth.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore/Mumbai office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

To excel in this role, you should have:

• Technical Expertise: A strong foundation in enterprise infrastructure, storage technologies, and modern architectures, with the ability to translate complex concepts into business value.
• Sales & Solution Alignment in partner organization: Experience supporting technical aspects of the sales cycle, including solution validation, sizing, and customer-facing engagements in a B2B technology environment in partner landscape
• Partner-Focused Mindset: Proven ability to work effectively with channel partners, enabling their success while driving alignment across multiple stakeholders.
• Collaboration & Communication: Strong interpersonal and communication skills, with the ability to engage technical and non-technical audiences and build trusted relationships.
• Enablement & Coaching Ability: A passion for teaching, mentoring, and empowering partners through training, tools, and shared best practices.
• Operational Discipline: Ability to manage multiple priorities, coordinate across teams, and maintain structure in a fast-paced, high-activity environment.
• Problem-Solving & Adaptability: A proactive, solutions-oriented mindset with the ability to troubleshoot issues and adapt quickly to changing customer and partner needs.
• Bachelor’s degree (BS/BA/BE) required
• 4-6+ years of B2B professional experience, preferably in systems engineering, technical sales, or customer-facing technical roles
• Experience in enterprise storage or related infrastructure technologies
• Ability to work in a collaborative, team-oriented environment
• Fluency in English required; additional regional language skills preferred 
• Willing to work aligned with the India region, operating from the office
• Comfortable with a 5-day work week, including significant travel commitments (approximately 70% travel, 30% office-based work).
• Open to relocation between Bangalore and Mumbai, with flexibility to spend an initial 6 months in one location before transitioning to the other based on business requirements.

NICE TO HAVE

• Industry Knowledge:Familiarity with enterprise storage, data management, and emerging infrastructure trends.
• Channel Experience:Understanding of partner-led sales models and experience working within a channel ecosystem.
• Technical Certifications:Relevant certifications in storage, cloud, or infrastructure technologies.
• Digital Tools: Experience using technical and sales tools for sizing, design, and collaboration.

#LI-ONSITE

About you

We’re looking for people with a strong background or interest in building successful products or systems; you’re comfortable in dealing with lots of moving pieces; you have exquisite attention to detail; and you’re comfortable learning new technologies and systems.

The Opportunity

We have backend engineers in almost every team across Telnyx, and in that role, you’ll be making some of the most significant decisions for the company. You’ll get to work with other engineers to build delightful features that span various parts of the system, as well as our business, sales, and operations teams to understand and solve our users’ pain points.

• Design, build, and maintain APIs, services, and systems across Telnyx’s engineering teams.
• Debug production issues across services and multiple levels of the stack.
• Work with engineers across the company to build new features at large scale.
• Improve engineering standards, tooling, and processes.

What We're Looking For

• Have 6+ years of professional software development experience with a functional programming language (Elixir/Erlang is preferred).
• Have experience working with relational databases at scale.
• Have deep knowledge of microservice architecture patterns and anti-patterns.
• Have experience with message queues like RabbitMQ and Kafka.
• Understand the challenges inherent in concurrent and distributed programming.
• Have experience with more exotic databases/key-value stores such as ETS, Mnesia, Cassandra and Redis.
• Have familiarity with Docker, Kubernetes, Consul, Jenkins, Prometheus, or RabbitMQ.

Bonus Points For

• You take a thoughtful approach to decision-making, knowing when to move fast and when to long-term optimize.
• You want to work in a fast-paced, product-driven environment.
• You keep up to date with the latest technologies and patterns and enjoy sharing what you’ve learned.

#LI-VIETNAM
#LI-KG1

The Team:

As an Applied Value Engineer you push the envelope in solving mission-critical problems for our customers. You will work with our most strategic customers, understand their strategy and key challenges, and build Celonis solutions using cutting-edge AI technologies from market leaders such as Microsoft and OpenAI. With Celonis’ market-leading Process Intelligence (PI) Platform we feed operational context to AI so it understands our customers’ businesses and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to executives, and ensure successful implementation, adoption and value realization to increase Celonis' footprint at those customers.. 

The Role:

As an Applied Value Engineer, responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and industries and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The work you’ll do:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Identify & Frame Value:
  Discover and translate customers’ strategic priorities into high-impact Celonis use cases
  Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers 
  Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity and strategic roadmap to C-Level executives
• Realize Value:
  Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement
  Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives
  Present results and realized value to senior management and C-level executives
• Scale Value:
  Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing
  Build a strategic expansion roadmap for customers embedding Celonis Process Intelligence as a strategic business transformation platform in their organization and therefore drive adoption and expansion
  Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use case

The qualifications you need:

• Live for Customer Value: 7+ years of experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy. Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise.
  Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e.g. SAP/ Oracle),  experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Hands-on Experience with Process Mining tools and technologies is preferred. Hands-on SQL experience and Python is preferred . Experience in collaborating with IT teams.
• Process Improvement & Value Realization: Experience in identifying business use cases for business process improvement and deploying improvement measures, being a change agent and training users/process owners to realize value. Domain and industry knowledge such as Supply chain, finance, CPG, BFSI, Manufacturing etc. would be a plus.
• Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.
• Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills in English.

• Perform ongoing competitive research and testing, with a focus on delivering accurate, timely, unbiased analysis as a subject matter expert.
• Create defensible analysis/proof points and positioning of Rubrik solutions favorably against the competition
• Collaborate with the sales enablement team to create sales training, tools (cheat sheets, whitepapers, presentations, etc.),
• Work with field enablement and field success teams to establish take-out approaches as part of standard sales plays.
• Responsible for the data analysis and feedback processes to provide a quarterly view of the competitive landscape.
• Provide day zero support to the field team for emerging product features and keeping the team abreast on equivalent features from competitive products
• Produce deep dive documentation on product features and solutions with comparison to competitive products for the various field teams
• Work with the product management and product marketing team to put together collaterals helpful for demand generation

• 8-12 years of experience in a similar role (e.g. Competitive Intelligence, Technical Product Marketing, Product Management, Engineering, or Sales Engineering experience)
• Experience implementing and managing data management/protection solutions such as Veeam Backup & Recovery, DellEMC IDPA / DataProtect, Veritas NetBackup, and Commvault.
• Experience developing technical presentations, whitepapers, product guides, briefs etc.
• Good understanding of cloud computing architectures, products, and landscape ( AWS/ GCP/ Azure)
• Strong understanding of the real-world customer issues and the needs of data protection / data management
• Ability to collaborate with various groups and drive projects forward
• Strong aptitude for analyzing competitor's products, strategy, and messaging
• Aptitude for translating technical features into business value as a means of differentiating Rubrik offerings
• Executes with urgency (startup time)

Cyber Resilience Architect, APJ

• Provides technical leadership and direction to customers and internal staff in the development of fully integrated technology solutions in support of pre-sales activities in the assigned market.
• Assists in the analysis, design and development of fully integrated technology solutions.
• Demonstrates technical leadership and subject matter expertise on Rubrik’s products, distributed architectures, file systems, and competitive storage offerings in the SAN product space.
• Acts as technical expert and consultant to develop and propose solutions that meet the technology and business requirements of assigned customers.
• Makes technical and sales presentations to customer's technical staff and senior management.
• Serves as a trusted technology advisor to customers and serves as an internal resource on technical issues or specific business applications within an assigned market segment.
• Successfully builds relationships with the account team, partners and customers in support of sales team objectives and engages and leverages corporate resources, abilities, budgets and personnel as appropriate.
• Leads technical sales calls
• Qualifies sales opportunities in the terms of customer technical requirements, competition, decision making process and funding.

• 5-7 years of sales engineering experience preferably in a software or data center environment.
• Driven – need for success, highly energetic with a strong hands-on, “can do” approach.
• The successful candidate must have a fundamental breadth of technical knowledge in cloud data management, backup and disaster recovery and data analytics.
• Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it done” attitude
• Strives in moving in a fast-paced environment; including handling multiple calls/demos per day with immediate follow up.
• A high level of business acumen and experience working with Cx0 level personnel, bringing technology solutions to solve business challenges.
• Smart, adaptable and open-minded

Senior Sales Engineer (Pre-sales) Bengaluru, India

Ready for an opportunity to make a substantial impact with a disruptive tech company while building your pre-sales career? Rubrik, Inc. has an amazing product, a supercharged team and the financial backing of Lightspeed Ventures, Greylock Partners and Khosla Ventures.  Bottom line, if you have limitless drive and like to win, we want to talk to you!

Rubrik is looking for Sales Engineers to provide technical direction and business guidance to the regional sales team. As a Sales Engineer, you will be accountable for regional revenue goals by driving innovative technical programs and overseeing day-to-day account-level activities. You will be responsible for evangelizing, positioning, and architecting the industry's first hyper-converged hybrid cloud data management platform for a mix of enterprise, mid-market, and small business customers throughout your region.

About the position:

• Provides technical leadership and direction to customers and internal staff in the development of fully integrated technology solutions in support of pre-sales activities in the assigned market.
• Assists in the analysis, design and development of fully integrated technology solutions.
• Demonstrates technical leadership and subject matter expertise on Rubrik’s products, distributed architectures, file systems, and competitive storage offerings in the SAN product space.
• Acts as technical expert and consultant to develop and propose solutions that meet the technology and business requirements of assigned customers.
• Makes technical and sales presentations to customer's technical staff and senior management.
• Serves as a trusted technology advisor to customers and serves as an internal resource on technical issues or specific business applications within an assigned market segment.
• Successfully builds relationships with the account team, partners and customers in support of sales team objectives and engages and leverages corporate resources, abilities, budgets and personnel as appropriate.
• Leads technical sales calls
• Qualifies sales opportunities in the terms of customer technical requirements, competition, decision making process and funding. 

About you:

• 5-10 + years of sales engineering experience  (or customer facing consulting experience) with large Enterprise clients preferably in a software or data center environment.
• Driven – need for success, highly energetic with a strong hands-on, “can do” approach.
• The successful candidate must have a fundamental breadth of technical knowledge in cloud data management, backup and disaster recovery and data analytics.
• Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it done” attitude
• Strives in moving in a fast-paced environment; including handling multiple calls/demos per day with immediate follow up.
• A high level of business acumen and experience working with Cx0 level personnel, bringing technology solutions to solve business challenges.
• Smart, adaptable and open-minded
• Bachelor’s degree required or equivalent experience

Bonus Points: 

•  Knowledge of Partner and Client ecosystem a plus 

Role Description

• As a Senior Applied Value Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

Key Responsibilities:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
• Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
• Ensure Successful Project Outcome: Senior Applied Value Engineer stay involved with projects until agreed value & adoption thresholds are reached
• Specialize in Domains or Industries: To scale knowledge across the organization Senior Applied Value Engineer specialize in domains (e.g. supply chain) and industries

Requirements:

• 6+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
• Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
• Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)

Reports To

Software Engineering Manager

What You Will Be Doing

As a PHP Developer you will join one of our teams to help maintain and enhance our cloud-based software platform for e-mobility. You will play a crucial role in ensuring the stability, performance, and scalability of the platform, working with cross-functional teams to deliver high-quality features and improvements.

What You Will Bring to ChargePoint

• Work together with other software developers to to align on project goals, architecture, and delivery timelines
• Implement and maintain scalable software solutions using PHP. Balance technical excellence with pragmatic solutions to deliver business value
• Leveraging GitOps, Kubernetes, and other tools to streamline deployment and infrastructure management
• Participating in architectural discussions, bringing forward innovative ideas, and constructively challenging others’ proposals

Requirements

• 5+ years of experience in PHP, Relational Databases (like MySQL, Postgres), Kafka, RabbitMQ,React.
• Profound experience in backend development
• Experienced in object-oriented programming
• Experienced in designing APIs
• Experienced with event-based distributed applications
• Focus on clean and readable code
• Source code management with Git
• Ability to work in a team and willingness for an open feedback culture

Location

Bangalore, India

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

We’re looking for a technically curious Training Engineer to become a subject matter expert on Black Duck Products.  In this role you will work closely with a Training Content Developer providing them with the knowledge they need to create engaging learning experiences.  This role is critical in ensuring our customers gain deep, practical understanding of our tools, accelerating secure software development across their organizations. 

Responsibilities 

• Partner with the Training Content Developer to translate complex technical concepts into clear, engaging training materials, including videos, labs, and documentation. 

• Stay up to date with our latest product features so you can assist the Training Content Developer with creating micro-learning for new features. 

• Act as the internal expert on developer workflows and use cases, providing insights to improve training relevance and effectiveness. 

• Review and validate training content for technical accuracy and completeness. 

• Maintain demo environments and troubleshoot issues to ensure smooth content creation and delivery. 

• Creating short code examples with defects for learning content.   

• You may occasionally be called on to assist with delivering workshops or webcasts 

• Very occasionally travel may be required to assist with the delivery of in-person training.  

Qualifications 

• 4+ years of experience working as a developer, support engineer, sales engineer or related field 

• Knowledge of two or more: Java, C#, C/C++, JavaScript, Node, AngularJS, PHP, Ruby etc. 

• Familiarity with modern development environments, IDEs, and version control systems (e.g., Git, VS Code, IntelliJ). 

• Knowledge of Docker, Kubernetes and Virtual Machines preferred.   

• Familiarity with open-source software ecosystems 

• Ability to adapt to change and learn new skills 

• Attention to detail 

• Excellent communication and collaboration skills. 

• Knowledge of SAST, DAST or SCA tools a plus  

• Bachelor’s degree in CS or related field (preferred). 

The Team:

As an Applied Value Engineer you push the envelope in solving mission-critical problems for our customers. You will work with our most strategic customers, understand their strategy and key challenges, and build Celonis solutions using cutting-edge AI technologies from market leaders such as Microsoft and OpenAI. With Celonis’ market-leading Process Intelligence (PI) Platform we feed operational context to AI so it understands our customers’ businesses and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to executives, and ensure successful implementation, adoption and value realization to increase Celonis' footprint at those customers.. 

The Role:

As an Applied Value Engineer, responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and industries and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The work you’ll do:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Identify & Frame Value:
  Discover and translate customers’ strategic priorities into high-impact Celonis use cases
  Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers 
  Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity and strategic roadmap to C-Level executives
• Realize Value:
  Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement
  Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives
  Present results and realized value to senior management and C-level executives
• Scale Value:
  Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing
  Build a strategic expansion roadmap for customers embedding Celonis Process Intelligence as a strategic business transformation platform in their organization and therefore drive adoption and expansion
  Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use case

The qualifications you need:

• Live for Customer Value: 4+ years of experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy. Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise.
  Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e.g. SAP/ Oracle),  experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Hands-on Experience with Process Mining tools and technologies is preferred. Hands-on SQL experience and Python is preferred . Experience in collaborating with IT teams.
• Process Improvement & Value Realization: Experience in identifying business use cases for business process improvement and deploying improvement measures, being a change agent and training users/process owners to realize value. Domain and industry knowledge such as Supply chain, finance, CPG, BFSI, Manufacturing etc. would be a plus.
• Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.
• Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills in English.

The Team:

The Role:

The work you’ll do:

Identify & Frame Value

Realize Value

The Community You Will Join:

The Guest & Host team based out of India, operates to ensure high quality supply and merchandising differentiates our brand, by providing tools to be used by 1000+ operations agents for supply vetting and quality moderation. As Airbnb expands beyond the core, it is looking to onboard supply outside of the core stays business which requires enhancing our tools. The operational tasks we face are diverse and rapidly evolving. The current manual processes and lack of optimum tooling capabilities hinder the ability of operation agents to work more efficiently, maintain business continuity, and achieve higher scale. 

The Difference You Will Make:

As a Data Engineer on the Guest & Host team, you will play a pivotal role in shaping the systems that onboard and manage the highest quality supply across Airbnb. You’ll build robust data pipelines and platforms that power end-to-end visibility for supply operations, from onboarding and regulatory compliance to AI-assisted vetting and listing quality enforcement. Your work will directly enable operations, product, and ML teams to scale trusted supply globally, ensuring every home, service, and experience meets Airbnb’s standards. Whether it’s surfacing insights to optimize onboarding flows, enabling smarter audit triggers, or supporting nuanced licensing workflows, your contributions will be foundational to helping hosts join Airbnb efficiently and ensuring guests have access to safe, high-quality stays.
As you build and maintain key components of the critical data ecosystem, you’ll have the opportunity to contribute to creating standards and best practices for Airbnb’s Data Engineering. Your work on solving complex business challenges at scale will be instrumental in shaping the tools, processes, and standards used by the broader data community.

A Typical Day:

• Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds.
• Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy.
• Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework
• Collaborate with cross-functional teams, including Data Scientists, Product Managers, andSoftware Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements.
• Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity
• Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues

Your Expertise:

• 6+ years of relevant industry experience 
• BE/B.tech in computer science or relevant technical field
• Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale.
• Strong knowledge of Java, Scala, or Python, and expertise with data processing technologies and query authoring (SQL).
• Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
• Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks
• Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
• Excellent written and verbal communication skills

As an Account Executive on our Mid-Market Sales team (targeting customers 1,000 to 5,000 employees in size), you will assist in Datadog’s overall business growth by strategically engaging and closing net-new customers across mid-to-large size organizations. Sellers follow a well-defined methodology, collaborate with internal stakeholders & partner ecosystem, identify the customer's unique needs, and clearly convey the value of the Datadog solution. Mid-Market AE’s have the opportunity to grow their careers in Sales and continue contributing to Datadog team success.

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:

• Focus entirely on net-new logo acquisition
• Manage the full sales cycle, including negotiations and on-site technical demonstrations
• Identify robust set of business drivers behind all opportunities
• Develop a deep comprehension of customer's business
• Strategically prospect into Chief Technology Officers, Engineering/IT Leaders, and technical end users (SRE, DevOps, DevSecOps)
• Multi-thread into different departments of a complex organization
• Collaborate with Sales Development Representatives, Partners, & Marketing to drive top of funnel activity
• Apply modern sales strategy with real time signals and research using tools Sales Navigator & Demandbase

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 experience, we encourage you to apply.

Who You Are:

• Curious and motivated to understand emerging technologies and how they intersect with core business drivers.
• Experienced in hunting, strategically mapping and breaking into net new logos
• Strong Pipeline Generation skills, bold in front of customers and creative in your pursuits 
• Able to sit up to 6 hours, traveling to and from client sites via auto, train, or air, up to 30% of the time
• Based in Bangalore and willing to travel within India for client site meetings and the wider APJ region from time to time.

 Benefits and Growth:

• High income earning opportunities based on self performance
• Opportunity for Presidents Club
• New hire stock equity (RSU) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing 
• Both Technical and Sales Methodology enablement
• Intra-departmental mentor and buddy program for in-house networking 
• An inclusive company culture, opportunity to join our Community Guilds
• Generous global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog Sales Engineers help qualify and close opportunities with customers and partners. You will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). Sales Engineers have a voice with the product team to help prioritize features based on input from customers, competitors, and partners. Additionally, you will work with various teams to resolve customer concerns, escalate bug issues, and serve as an ambassador for our brand. If you want to join a friendly, passionate team with limitless potential, we’d love to meet you!

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:

• Partner with the sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Continually learn new technology to build competitive knowledge, technical skill, and credibility
• Deliver product and technical presentations with potential clients
• Have a direct line of communication with the product team to collaborate on feature requests
• Help clients onboard the product and assist when they run into roadblocks. 
• Think creatively about a wide variety of technical challenges during the pre-sales life cycle 

Who You Are:

• Minimum 4+ years in Sales Engineering, Solutions Engineering along with either DevOps/SRE, or Platform Engineering 
• Knowledgeable and experienced with DevOps monitoring or architecture tools. 
• Comfortable and confident in delivering technical presentations/demos to either external customers or internal teams
• Able to think creatively about a wide variety of challenges. You're going to find new things every day
• Previously experienced in systems administrations: Windows or Linux
• Able to travel up to 25% 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 you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits, including fitness subsidy, home office benefits and mental health support.
• India-specific benefits, including medical insurance for employees + dependents and health check-ups.
• Family-specific benefits, including parental leave, child care subsidy and family-formation benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Role Description

• As a Senior Applied Value Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

Key Responsibilities:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
• Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
• Ensure Successful Project Outcome: Senior Applied Value Engineers stay involved with projects until agreed value & adoption thresholds are reached
• Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries

Requirements:

• 6+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
• Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
• Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)

The Team:

The Celonis Value Engineering (VE) team is focused on managing the entire customer value lifecycle, from sales through value realization, renewal and expansion. As a Value Engineer - India, your primary focus will be supporting our GCC's (Global Competency Centers) across the Adopt and Expand phases of our customer value journey. This team will be a part of the Global VE CoE spearheading our mission of data-driven business transformation with our customers.You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The Role:

As an Applied AI Value Engineer you are pushing the envelope in solving mission-critical problems for our customers. You will be working with our most strategic customers, understanding their strategy and key challenges, and building Celonis solutions using cutting edge AI technologies of market leaders such as Microsoft and OpenAI. With Celonis’ market leading Process Intelligence (PI) Platform we feed operational context to AI so it understands our customers’ businesses and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

The work you’ll do:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Hackathons & Prototyping: Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
• Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
• Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value & adoption thresholds are reached
• Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries

The qualifications you need:

Requirements:

• 4+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
• Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
• Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)

**This is a hybrid role, requiring 2 days per week in our Bangalore office**

Reporting directly to the Director of Engineering, the Lead Engineer will guide the design and implementation of the software solutions under the User Generated Content (UGC) business division. Our teams work across the front-end (React & Elm), backend (Java/Kotlin), Data (Snowflake, dbt, Tableau), DevOps, and QA. We need a seasoned engineer who can shape the long-term design of our system. This person will guide our teams in architecting product features in a way that moves us towards that vision. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We learn from our experiences to always improve, and we have fun and celebrate our successes.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Establish and champion the high-level, long-term architectural strategy for the UGC division’s suite of products
• Ensure software architecture aligns with the established technical strategy by establishing an Architecture Review Committee
• Advocate regulatory compliance, security policies, and processes in adherence to Industry standards and 1World Sync guidelines
• Drive continuous upgrades and enhancements of the various frameworks and tools used by the applications and the team.
• Assess, identify, and mitigate common issues in the operations of the software suite preemptively
• Develop the engineering team's capability in architectural design and implementation through mentorship and enablement
• Lead the research, evaluation, and adoption of new technologies to advance and upgrade our solutions.
• Partner with product and business leadership to ensure the technical strategy effectively addresses customer requirements and business goals
• Drive enhancements in engineering-wide practices, including CI/CD, testing, monitoring, security, and developer experience tooling

WE SHOULD TALK IF THIS SOUNDS LIKE YOU 

• 10+ years of software development experience
• 7+ years of full-stack application development using Object oriented programming(Kotlin, Java) and modern frameworks
• 3+ years of experience designing and implementing solutions with AWS
• 3+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns
• 5+ years of experience developing APIs for front-end applications
• 5+ years of experience with relational databases (PostgreSQL, MySQL) and large data sets
• 3+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, GitHub Actions)
• 3+ years of experience leveraging infrastructure as code using Terraform
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB, MongoDB, NoSQL) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration (AWS ECS, Kubernetes, Docker Swarm) (preferred but not required)
• Experience with Data engineering and Analytics (Snowflake, dbt, Tableau) (preferred but not required)
• AWS Solutions Architect Associate Certification (preferred but not required
• BS degree in Computer Science, a similar technical field, or equivalent practical experience

This is a hybrid role, requiring 2 days per week in our Bangalore office

Reporting directly to the Director of Engineering, the Senior Software Engineer will guide the design and implementation of software solutions for ChannelOnline (COL). Our teams work across the front-end (Angular, jQuery, JSP), backend (Java), Data (Elastic, MySQL), DevOps, and QA. We need a seasoned engineer who can shape the long-term design of our system. This person will guide our teams in architecting product features in a way that moves us towards that vision. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We learn from our experiences to always improve, and we have fun and celebrate our successes.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Establish and champion the high-level, long-term architectural strategy for COL
• Ensure software architecture aligns with the established technical strategy by establishing an Architecture Review Committee
• Advocate regulatory compliance, security policies, and processes in adherence to industry standards and Syndigo guidelines
• Drive continuous upgrades and enhancements of the various frameworks and tools used by the applications and the team
• Assess, identify, and mitigate common issues in the operations of the software suite preemptively
• Develop the engineering team's capability in architectural design and implementation through mentorship and enablement
• Lead the research, evaluation, and adoption of new technologies to advance and upgrade our solutions
• Partner with product and business leadership to ensure the technical strategy effectively addresses customer requirements and business goals
• Drive enhancements in engineering-wide practices, including CI/CD, testing, monitoring, security, and developer experience tooling

WE SHOULD TALK IF THIS SOUNDS LIKE YOU

• 4+ years of software development experience
• 1+ years of full-stack application development using object-oriented programming (Java) and modern frameworks
• 2+ years of experience designing and implementing solutions with Azure
• 1+ years of experience developing APIs for front-end applications
• 2+ years of experience with relational databases (MySQL) and large data sets
• 1+ years of experience leveraging and maintaining CI/CD tooling (GitHub Actions)
• 1+ years of experience with Perl or other scripting languages (preferred but not required)
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (Azure Blob Storage) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration (Kubernetes) (preferred but not required)
• BS degree in Computer Science, a similar technical field, or equivalent practical experience

The Team:

As a Applied Value Engineer you are spearheading our mission of data-driven business transformation with our customers. You will work in partnership with the Celonis Sales Team and have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor to help them achieve their strategic goals and realize significant value using the Celonis Process Intelligence Platform. In collaboration with our partners and Celonis Services, you will help customers drive measurable business impact across various processes and industries and accelerate their adoption of our platform. You will blend process and industry expertise with a consulting skill set, an AI-solution mindset, and strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The Role and work you'll do:

Identify & Frame Value

• Discover and translate customers’ strategic priorities into high-impact Celonis use cases
• Support customers and partners in building business cases, leveraging industry benchmarks and best practices in order to retain and scale customers, driving Annual Recurring Revenue (ARR) growth
• Orchestrate Value Assessments and support in communicating value opportunities and strategic roadmaps to C-Level executives

Realize Value

• Guide customers and partners on how to use Celonis to identify and qualify opportunities for process enhancement
• Drive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives
• Support presentation of results and realized value to senior management and C-level executives

Scale Value

• Responsible for the customer value journey, driving expansion, adoption, and renewals
• Partner with customers to develop strategic Celonis roadmaps embedding Celonis Process Intelligence as a strategic business transformation platform in their organization
• Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use cases

The qualifications you need:

• Live for Customer Value: Experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Customer Success, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy.
• Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e.g. SAP), experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Knowledge of Python and/or SQL. Experience in collaborating with IT teams.
• Process Improvement & Value Realization: Experience in identifying use cases for business process improvement and deploying improvement measures, being a change agent and training users/process owners to realize value.
• Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.
• Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills in English.
• Business Domain Expertise: Understanding of the Finance and/or Supply Chain domain as well as strategic transformation initiatives (e.g. Shared Services Transformation or System Transformation).
• Degree: In Technology & Management, Industrial/Business Engineering, Business Informatics, Computer Science, Mathematics, Economics or a comparable degree program.

The Role:

As an Applied Value Engineer for the Japan Market, you will solve business-critical problems for our most strategic Japanese customers. You will bridge the gap between cutting-edge AI technology and the unique business requirements of Japanese enterprises.
Working with the world’s leading Process Intelligence (PI) platform and partners like Microsoft, OpenAI, and Databricks, you will feed operational context to AI to help Japanese organizations industrialize AI and unlock real ROI. You will prototype solutions, demonstrate value to executives, and ensure successful implementation and adoption within the Japanese business ecosystem

The work you’ll do:

• AI Discovery & Solutioning (Japan Focus): Understand the specific AI strategies and challenges of Japanese customers. Translate their requirements into innovative solutions that align with local business practices.
• Hackathons & Prototyping: Rapidly build creative prototypes (LLM/Agent-based) to solve business-critical problems during customer hackathons.
• Agentic Process Transformation: Enable a fundamental shift for our customers from traditional automation to autonomous AI agents empowered by the Celonis PI Platform.
• Proof Projects: Execute end-to-end Proof-of-Value (PoV) projects, including architecture, RAG, and guardrails, ensuring compliance with enterprise data and identity frameworks.
• Cross-Border Collaboration: Work closely with the Japan-based account teams and executives to ensure project outcomes reach agreed value and adoption thresholds.
• Domain Specialization: Specialize in domains (e.g., Supply Chain, Finance) to scale knowledge across the Japan and global organizations.

The qualifications you need:

• Market Alignment: Strong willingness and commitment to work specifically for the Japan market. This includes flexibility to align with Japan Standard Time (JST) for key meetings and workshops.
• Professional Experience: 3-5 years of experience in technical pre-sales, defining AI roadmaps, and building ROI/TCO business cases.
• Technical Expertise: Deep understanding of Generative AI techniques (RAG, multi-agent orchestration, prompt engineering) and Python (LangChain, pandas, PyTorch, etc.).
• Process Knowledge: Understanding of business processes (Supply Chain, Finance, etc.) and the ability to translate high-level needs into AI use cases.
• Communication: Strong presentation skills to engage with both internal stakeholders and external Japanese enterprise executives.
• Education: Bachelor’s Degree required (Master’s in CS, Engineering, or Math preferred).

• Japan Market Experience: Previous experience working with Japanese companies as clients or partners is highly valued.
• Cultural Competency: Familiarity with Japanese business etiquette and communication styles.
• Hands-on AI implementation: Experience building agentic systems and deploying models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex).
• LLM Ecosystem: Working knowledge of LangChain, LlamaIndex, or other OSS packages.

What is the InMobi family like?   

We are an infectious bunch. Be it the way we rise to challenges, the innovative products we create, the dreams we chase or the fun we have at work. We are sure that if you meet us, you will be infected too. Today, we are proud to be the leaders in Mobile advertising and are on an accelerated path of being a leader in enterprise software for marketers. We invite you to free yourself, dream big and chase your passion. We are here today because a few of us did just that.   

What can we promise?   

We offer you an opportunity to work on building enterprise platforms that require you to acquire, hone and demonstrate your ML and AI skills in designing and solving for complex problems, thereby creating software that creates value for our customers in a reliable, scalable, secure, and AI-first manner. At InMobi, you get to work on innovative technologies, work closely with business teams and grow as an overall technology leader.  

Modern work environment, flexible schedule, and smart, creative, down-to-earth people. Internal opportunities to move roles and try out bridge assignments with different teams.  Food for your soul – free meals all days of the week, gym, or yoga class to flex those biceps, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.  

What is the team like?  

At InMobi Enterprise team, we are transforming the way finance, sales, marketing, people, and legal functions operate. We’re driving transformative work across Sales, Marketing, People, and Finance with ML and Agentic AI—and we’re looking for passionate innovators to join us!

What you will be doing

We are looking for a Data Scientist who can operate at the intersection of classical machine learning, GenAI and modern agentic AI systems with a strong engineering appetite. You will build and deploy intelligent AI/ML systems that will help transform the business process across the core. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.

Your responsibilities will include:

• Lead the experimentation, design and build of agentic AI systems that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
• Apply LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models for semantic understanding, content classification, and user preference modeling.
• Design intelligent agents that can automate repetitive decision-making tasks—e.g., candidate generation tuning, feature selection, or context-aware content curation.
• Support POCs/ Pilots projects to explore and validate innovative technologies and solutions in ML/AI space.

• Build and operate machine learning models on diverse, high-volume data sources for forecasting, classification and prediction.
• Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
• Design pipelines for data preparation, model training, evaluation, and deployment in collaboration with engineering counterparts.
• Define best practices for monitoring ML model performance using statistical techniques; identifying drifts, failure modes, and improvement opportunities.
• Contribute to ML/AI thought leadership—blogs, case studies, internal tech talks, and industry conferences.
• Thrive in a multi-functional, highly collaborative team environment with engineering, product, business, and creative teams.
• Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.
• Document designs, development processes, and best practices to promote knowledge sharing and operational efficiency.

What do we expect from you?

We are seeking candidates with deep expertise in ML and hands-on experience building GenAI and Agentic AI systems.

Skillset: AI/ML Engineering, Python, LLM, RAG, Agentic AI, MCP, REST API

You should have experience with:

• Design, build, and deploy building LLM-powered applications, chatbots, and multi-agent systems to improve efficiency, accuracy, and decision-making.
• Implement and customize GenAI and multi-agent systems using AI frameworks such as LangChain, LangGraph, CrewAI, or similar.
• Create, refine, and maintain prompt templates, chains, and workflows.
• Integrate vector databases (MilvusDB, FAISS, Pinecone, Chroma, etc.) for semantic search and memory.
• Classical ML and deep learning techniques across NLP, clustering, and time series.
• Proficient in deploying ML workflows/models in production system. Continuous monitoring, evaluation, and retraining of models to ensure sustained performance. Ensuring model explainability, accuracy, compliance.
• Big data processing (Spark, distributed data systems) and cloud computing.
• Designing end-to-end ML solutions—from prototype to production.
• Stay updated with emerging AI/ML technologies and recommend relevant innovations for the finance domain.
• Drive in design reviews, sprint planning, and technical discussions.
• Collaborating effectively with diverse stakeholders, including technical teams and business leaders.
• Adapting to fast-paced environments and evolving priorities with high energy and autonomy.

We value curiosity, problem-solving ability, and a strong bias toward experimentation and production impact.

 Qualifications

• Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
• 8+ years of industry experience in ML/Data Science, with deep proficiency in Python and one or more frameworks: PyTorch, TensorFlow, Scikit-learn.
• Solid understanding of ML fundamentals, regression, tree-based models, clustering, and time series.
• Hands-on experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.
• Experience building Agentic frameworks such as LangGraph, AutoGen, CrewAI, n8n or ReACT-style agents.
• Expertise with algorithms in NLP, Time Series, and Deep Learning, applied on real-world datasets.
• Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
• Experience with Model Context Protocols (MCPs) — building or integrating MCP tools, servers, or capabilities.
• Comfortable working in cross-functional teams.
• Strong problem-solving and analytical skills with the ability to work in agile environments.
• Good understanding of data pipelines, APIs, and cloud platforms (Azure/GCP/AWS).
• Excellent communication skills with the ability to simplify complex technical concepts.

Role Description

• As an Applied Value Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

Key Responsibilities:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
• Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
• Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value & adoption thresholds are reached
• Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries

Requirements:

• 5+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
• Experience in Oil & Gas industry is must.
• Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
• Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 6+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide who trust Veeam to keep their businesses running. Join us as we move forward together, growing, learning, and making a real impact for some of the world’s biggest brands. The future of data resilience is here - go fearlessly forward with us.

About the Role

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. You will partner with a Securiti Sales Specialist and support 3–5 Account Executives and Veeam Solution Engineers as the technical subject matter expert. 

You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients. 

What You’ll Do

• Develop and execute a territory plan to drive repeatable revenue within assigned accounts.
• Collaborate with account executives to identify and maximize cross-sell opportunities for Securiti AI solutions.
• Lead the entire sales process, serving as a trusted advisor, and presenting compelling business cases to customers.
• Manage a pipeline of high-value opportunities, ensuring accurate forecasting and CRM discipline.
• Expand relationships with key channel partners and resellers to accelerate deal flow and market reach.  

What You’ll Bring

• Proven success closing complex enterprise software deals, with 10-15+ years in security software sales.
• Extensive experience managing multithreaded sales cycles involving multiple stakeholders.
• Strong existing relationships with C-suite executives and channel partners in large enterprises.
• Deep understanding of enterprise software sales, particularly in data security, management, or cybersecurity.
• Reputation for integrity, honesty, and building long-term customer relationships.  

What You’ll Get 

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-TR1

About the Role

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. You will partner with a Securiti Sales Specialist and support 3–5 Account Executives and Veeam Solution Engineers as the technical subject matter expert. 

You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients. 

What You’ll Do

• Act as the primary technical contact for Securiti AI solutions during the sales cycle
• Lead technical discussions and deliver customized security solutions
• Address customer needs in data discovery, posture management, and compliance
• Design and present product demonstrations and proof-of-concepts
• Collaborate with product, engineering, and customer success teams to ensure smooth transitions 

What You’ll Bring

• Significant experience in pre-sales or sales engineering
• Strong understanding of data and/or cloud security
• Effective communicator with both technical and business stakeholders
• 10+ years technical sales experience in security
• 15+ years in Software/SaaS/Enterprise technical sales
• Hands-on experience with AWS, Azure, or GCP
• Knowledge of data privacy/security standards (e.g., GDPR, NIST 800-53, ISO 27001)
• Experience with DSPM frameworks, Linux, Kubernetes, or cloud data systems
• Relevant certifications (CISSP, CISM, or cloud-specific) 

What You’ll Get 

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-TR1