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)

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.

The Team:

As an IT Service Engineer at Celonis, you will be a vital part of our international IT Service Team, responsible for ensuring seamless IT operations across the company. You will play a critical role in troubleshooting, resolving, or escalating IT-related issues for Celonis employees globally. This is an excellent opportunity for an experienced IT professional with hands-on expertise in both macOS and Windows environments who thrives in a fast-paced, dynamic, and international workplace. A willingness to work in a shift-based support model is essential to ensure global coverage and timely support.

The work you’ll do:

• Act as the first point of contact for IT support requests from employees, resolving issues or escalating tickets as necessary.
• Provide hands-on support for both macOS and Windows platforms, troubleshooting hardware, software, and network issues.
• Collaborate with the global IT Service Team to resolve technical issues via phone, email, or remote assistance.
• Install, configure, and maintain computing equipment and peripherals, including desktop and laptop systems (macOS and Windows), network printers, and video conferencing systems (Google Meet/MS Teams).
• Support mobile devices, including smartphones, through mobile device management platforms like Intune and Kandji
• Ensure clear and effective communication with users to understand, document, and resolve their IT issues.
• Perform basic repairs and replacements for computing equipment when needed.
• Develop and maintain documentation and user guides for common issues to improve IT service efficiency.
• Participate in a shift-based support schedule to ensure coverage across global time zones.

The qualifications you need:

• 3-5 years of hands-on experience in IT support, with proven ability to troubleshoot and resolve issues across both macOS and Windows environments.
• Strong knowledge of macOS and Windows 11 operating systems.
• Experience with Active Directory as well as Azure Active Directory.
• Understanding of TCP/IP networks and fundamental network troubleshooting skills.
• Proficiency in M365 administration and support.
• Strong knowledge of collaboration tools such as Microsoft Teams and Zoom.
• Experience with Mobile Device Management (MDM) solutions like Intune and Kandji
• Familiarity with operating and maintaining network components such as video conferencing systems (Google Meet/MS Teams) and network printers.

Required Skills:

• Strong communication skills with the ability to work effectively in a global, multicultural team.
• Detail-oriented, with excellent problem-solving abilities and a proactive mindset.
• Capable of managing multiple tasks and projects in a fast-paced environment
• A team player who is motivated to provide excellent customer service and continuous improvement in IT processes.
• ITIL V4 Foundation certification

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.

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)

The Team:

The position of Applied Value Engineer (Scale team) is a trusted advisor responsible for driving value, adoption, and customer success across a portfolio of accounts. In this role, you will collaborate closely with customers, partners, and internal teams to strengthen customer engagement and ensure long-term success with the Celonis Process Intelligence Platform. Your responsibilities include building scalable engagement strategies, handling critical touchpoints, identifying expansion opportunities, and mitigating renewal risks, all while fostering a strong relationship with partners and driving value realization across your accounts.

The Role:

As a Applied Value Engineer (Scale team), you will play a key role in helping our customers achieve their strategic goals and realize significant value by leveraging the Celonis Process Intelligence Platform. You will collaborate with regional partners and customers, strengthening their position in the market while ensuring that they receive the guidance and tools needed for long-term success. Your role will involve driving the coordination of account activities, building structured governance at both the account and portfolio levels, and fostering value-driven relationships. 

In this highly collaborative position, you will work closely with our partners, customers, and internal teams to provide innovative solutions, manage escalations, and ensure the delivery of value at scale.

The Work You’ll Do:

Drive Value, Adoption, and Sponsorship

• Serve as the trusted advisor to customers and partners, ensuring successful adoption and value realization across your portfolio.
  
  
• Support the development of Centers of Excellence (CoEs) by leveraging Celonis and partner resources to deliver self-paced, classroom, and on-the-job training.
  
  
• Build and maintain a structured governance model at both the account and portfolio level, ensuring alignment with customer goals.
  
  
• Manage critical 1:1 customer touchpoints, coordinating with partners as needed to resolve escalations and drive customer success.
  
  
• Monitor customer health through scalable strategies and provide regular check-ins to keep customers on the right track.
  
  
• Mitigate renewal risks by tracking value and framing expansion opportunities through demos and strategic guidance.
  
  
• Ensure customers are leveraging the latest product innovations to maintain momentum in their value journey.

Create Scalable Engagement Formats

• Develop and execute impactful 1:N (one-to-many) interaction formats such as online webinars, regional in-person classroom events, and online community events.
  
  
• Proactively create and nurture community engagement strategies, driving content and interaction around specific focus areas.
  
  
• Collaborate with the community team to gather feedback and improve engagement platform effectiveness.

Partner and Account Management

• Build programmatic coordination across partner activities within your portfolio to strengthen customer relationships and drive long-term success.
  
  
• Monitor partner engagement and escalate when needed to ensure successful delivery of customer value.

The Qualifications You Need:

Language Requirement

• Excellent communication skills in English, able to confidently engage and influence stakeholders at all levels.

Programmatic Execution

• 3-5 years of strong execution focus for action and the ability to drive initiatives under ambiguity.
  
  
• Highly structured and programmatic thinking with the ability to execute complex projects efficiently.

Entrepreneurial Mindset

• A passion for building new customer segments and managing a portfolio with an entrepreneurial approach.
  
  
• Ability to gain customer trust and drive success in limited touchpoints, delivering high impact.

Technical Expertise

• Solid technical skills with the ability to quickly problem-solve and support customers, especially in 1:N office-hour setups.
  
  
• Strong understanding of Celonis product innovations and the ability to introduce these innovations to customers, ensuring they’re driving maximum value.

Excellent Communication & Enablement

• Exceptional communication skills, with the ability to enable others through clear, effective presentations and guidance.
  
  
• Passionate about empowering both customers and partners through training, support, and strategic insights.

Industry & Business Domain Expertise

• Understanding of industry-specific business processes and a proven ability to identify opportunities for improvement.
  
  
• Knowledge of strategic transformation initiatives such as Shared Services Transformation or System Transformation is a plus.

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

Company Overview

At CommerceIQ, we help consumer brands accelerate their retail ecommerce market share growth and profitability through machine learning algorithms. We are building the world’s most complete and sophisticated Retail Ecommerce Management Platform, which connects and intelligently automates the management of retail ecommerce channels like Amazon, Walmart, and Instacart, across the entire ecommerce operational chain of retail media management, sales operations, supply chain, and digital self analytics.

We are in hyper growth mode, having recently raised our Series D funding at unicorn valuation (>$1B) and ended our third year of triple-digit revenue growth. Continued acceleration of our growth is fueled by landing new customers, expanding our platform through new products, managing new retail ecommerce platforms, and delivering exceptional customer service to unlock high net retention rates.

What You’ll Be Doing

As a Lead ML Engineer in the Data Science team, you will work closely with the engineering, product, and operations teams to build state-of- the-art ML based solutions for B2B SaaS products. This will entail applying advanced ML algorithms at scale for core products and developing robust end to end production pipelines which includes Human-in-the-Loop component to boost the quality. 

In this role, you will find innovative ways to apply emerging technologies to improve business processes and drive more value for customers. The ideal candidate will have a strong background in machine learning model development, natural language processing and understanding, and data analysis which they can utilize to manage and improve our company’s AI/ML initiatives. 

• Architect and Own multiple AI driven end to end pipelines that allows for deployment and scalability of machine learning models
• Build tools and capabilities that help with data ingestion to feature engineering, data management and organization
• Build tools and capabilities for scalability through distributed optimization 
• Deploy  cutting edge algorithms like LLMs etc. on GPUs at scale
• Work with stakeholders on the research and software engineering side of the company to understand how to support their teams
• Build tools and capabilities for model management and model performance monitoring
• Build operating services at scale with high availability and reliability
• Propose and implement the best engineering practices for scaling ML-powered features, with a goal to enable the fast iteration of and efficient experimentation with novel features
• Contribute and influence the ML infrastructure roadmap in collaboration with Data Science team

What we are looking for -

• Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 5+ years of experience in solving of experience in machine learning engineering problems 
• Experience and understanding of the entire machine learning pipeline from data ingestion to production
• Experience with machine learning operations, software engineering, and architecture
• Experience with large-scale systems including parallel computing and GPUs
• Experience architecting and building an AI pipelines that supports productionization of ML models
• Experience with MLOps systems
• Strong programming skills in a scientific computing language such as Python, SQL
• Experience using frameworks for machine learning and data science like scikit-learn, pandas, NumPy
• Experience working with ML tools such as Tensorflow, Keras, and Pytorch
• Ability to take successful, complex research ideas from experimentation to production
• Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
• Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra

Why you will love to work with us -

We have multiple brands, which are among the biggest brands operating on amazon, as our customers. You will be responsible for working with their data and developing models and algorithms to drive lift in tune of hundreds of thousands of dollars.

• Opportunity to work on cutting edge technologies in text and images data like LLMs, OCR, transformer based embeddings models
• Deploy code using the most sophisticated tech stack like AWS, GCP etc.
• You will own projects end to end i.e., from exploration to final production
• You will be empowered to make decisions. It implies more responsibilities but high learning
• Immense opportunities to learn and develop ML based SaaS products for brands and get company-wide recognition
• Forget endless meetings. Get things done and start making an impact from day 1
• Work hard, have amazing fun, create history, build the future of eCommerce 
• Start-up environment with a strong culture and values to accelerate your career 

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)

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.

We're Celonis, the global leading Process Mining software company and one of the world's fastest-growing SaaS firms. We believe that every company can unlock its full execution capacity - and for that, we need you to join us as a Senior System Engineer.

The Team:
You will be joining the Internal IT team as Senior System Engineer and will be based in our location in Bangalore. You will be responsible for administrative & infrastructure related 2nd level tasks including regular maintenance of the IT infrastructure.

The Role:
As Celonis continues to grow we have an exciting opportunity for an experienced, pragmatic and “team player” Senior System Engineer to join us and take ownership of Infrastructure-, Automation- and related IT systems for the business. It’s a role where you will have great impact, autonomy and visibility across the wider IT team with many opportunities for learning, development and building enterprise technologies. A willingness to work in a shift-based model is essential to ensure global coverage and timely support.

The work you’ll do:

• Administration/Maintenance of the global IT infrastructure
• You resolve 2nd level IT tickets raised by internal employees and collaborate with our international based IT Servicedesk & Infrastructure Team
• You proactively identify and create new necessary maintenance tasks related to our IT infrastructure and proactively resolve them 
• Spearheading the future of automation within Internal IT
• Azure and Entra ID related systems, processes, services and access rights
• Management of Google Workspace Platform including directory service management and scripting
• Work independently on small IT infrastructure related projects
• Collaboration Tools: Slack/O365/Google Workspace/Zoom

The qualifications you need:

• Strong knowledge (7+ years experience)  in administering and maintaining a SaaS, cloud, on-prem and clients environment comprising of:
• Azure (incl., but not limited to, Entra ID, Identity Governance, Defender)
• APIs, Powershell scripting
• Windows 10/11, Windows Server 2019/2022, Linux, Mac OS, iOS
• Microsoft O365 knowledge including Teams
• Google Workspace and Cloud Platform
• Structured troubleshooting and escalation to vendors

• Strong knowledge (7+years experience) in the following areas:
• Global infrastructure management including on-prem and Cloud providers
• Automation of processes in highlighted areas
• IT project management skills, evaluation of new technologies and presentation to Senior Management
• Administration and use of GitHub repositories
• TCP/IP networks (incl., but not limited to, DNS, DHCP, routing, SSL)

• The soft-skills you need:

  • You are a role model for other System Engineers within the IT Team
  • You are able to act cross-functional in different system areas. 
  • Consistently making sure that everyone is aligned and following the global valid IT processes.
  • Working independently and are able to organize work for you and others
  • Actively share knowledge with Junior colleagues to help them succeed
  • You have  a solid understanding of ITIL/ITSM processes.
  • You have the experience to develop configurations independently and target oriented
  • You have a strong customer oriented mindset with a clear focus on the sense of urgency

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)

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated  Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated  Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated  Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated  Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated  Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The Role:

Celonis is looking for a Senior ABAP Developer to design and implement modern data integration features to our platform. This is a full-time position located in Bengaluru, India and we are looking for team members that focus on writing maintainable and reliable code, work well independently, and thrive on collaboration and feedback as part of an agile development process.

The work you’ll do:

• Take ownership of features from design to implementation.
• Extend the capabilities of SAP integration.
• Contribute towards continual improvements in our development and release processes.
• Collaborate with our cloud development teams in integrating new features we develop in SAP with our cloud product.
• Research and drive new integration possibilities with SAP’s cloud products.

The qualifications you need:

• Have at least 5 years of experience as a professional ABAP Developer.
• High level of commitment and responsibility as well as enthusiasm for the challenges that arise during software development.
• Experience with object-oriented ABAP and GUI development.
• Experience working with both R3 and S4/HANA, with knowledge of the FI, MM, and SD modules as a plus.
• Have an overall understanding of SAP products, with a deep focus on integration options.
• Write clear, maintainable, and testable code.
• Excellent English skills 

Bloomreach is seeking a seasoned Staff Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for search, recommendation and behavioral insights that are used to personalize digital experiences for our customers. Our centralized data science team spanned across multiple geographies, is responsible for the data science modules that power all the products of the company, including Search Relevance, Recommendation, User Personalization, User Segmentations, Content Intelligence and Conversational Commerce. We invent and apply machine learning, data mining, and information retrieval algorithms to understand, identify, and improve web content discovery. We have built industry leading algorithms in search and recommendations for the commerce space that serve the most relevant experiences using Artificial Intelligence with the goal-building AI driven experiences beyond commerce.

Your Responsibilities:

• Design, develop, and enhance ML/AI models which mainly power Search and Recommendation.
• Process historical data, search queries, product catalog, and images to extract hidden relations and features.
• Conduct research to explore ongoing cutting-edge ML techniques (especially deep learning) and conduct a quick POC.
• Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data.
• Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences.
• Own deep data analysis and A/B test debugging, proactively identifying root causes, assessing impact, and providing clear, data-driven direction on next steps (e.g., what to fix and how to adjust experiment design).

Qualifications:

• BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python)
• 8+ years experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment.
• Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials.
• Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
• Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in Redshift/BigQuery.
• Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies.
• Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers).
• Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure).
• Effective communication skill in English, both verbally and in written form.

Responsibilities

We are looking for an experienced and exceptional Senior AI Engineer (Voice AI) to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. If building AI products from zero to one that scales to serve millions of users from first principles of AI and engineering, you are at the right place. We are building organization-aligned agents that are consistent at scale from the ground up and looking for passionate builders who are rooted in foundational AI knowledge to reimagine the agent control and data plane.

As part of this role you will:

• Design and implement advanced AI/ML systems with a focus on SLMs, LLMs, AI Agents, and Search architectures.

• Build conversational AI interfaces that handle multi-turn low latency chat/voice customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary.

• Build production-grade AI pipelines for data processing, model training, fine-tuning, benchmarking (dual-control, fluid model etc.) and serving at scale.

• Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, LLM evaluations, human evaluations and conversation outcomes to improve model performance over time. Reinforce organizational policies based on knowledge bases, conversational data and memory systems.

• Create AI based analytics dashboards and reporting tools to track automation effectiveness, tracing for identifying bottlenecks, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores. Quality assurance, management to get actionable insights from customer conversations and create evals for the current generation agents.

• Lead technical initiatives for AI system integration into existing products and services.

• Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.

• 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).

• Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using SLMs, LLMs (commercial, open-source models).

• Demonstrated strong foundational understanding and appreciate first principles thinking in ML, NLP (transformer based models).

• Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, dialogue state tracking and conversation flow management for building a reliable framework for context engineering.

• Expertise in tuning streaming ASR and TTS engines, Speech to Speech models for context and domain aware transcriptions and naturalness in voice.

• Expertise in conversation mining for identifying customer intents, root cause analysis, sentiment, resolution, policy adherence for not just auditing but truly understanding conversations for business outcomes across large enterprise scale.

• Expertise in working with use case based SLMs for realtime agent coaching and recommendations.

• Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions.

• Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling.

• Deep knowledge of REST API design, Pub-Sub architectures and integration patterns

• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases (added advantage but not necessary skill)

• Strong understanding of software architecture, scalability, security, and system design.

• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus

• Experience with A/B testing and experimentation frameworks.

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts

• Collaborative mindset for cross-functional team work

• Detail-oriented with a strong focus on quality

• Self-motivated and able to work independently

• Passion for solving complex search problems

(REQ ID: 2676)

The Challenge 

We are looking for a Senior level SDET to support our product development teams. As the Senior SDET, you will play a crucial role in shaping and leading our software testing strategy. You will be responsible for designing, developing, and implementing robust test automation frameworks, mentoring a team of SDETs (Software Development Engineer in Test), and ensuring the overall quality and reliability of our software products. 

Your Mission 

As a Senior SDET, you will: 

Provide technical leadership and guidance to the SDET team.
Collaborate with development and QE (Quality Engineering) teams to integrate testing into the software development process.
Design, develop, and maintain scalable and efficient test automation frameworks and test architectures.
Rub shoulders with developers in writing unit and integration tests using their tools and frameworks.
Ensure the frameworks support various testing types, including functional, integration, and performance testing.
Mentor and guide junior SDETs, providing technical expertise and career development support.
Conduct training sessions to enhance the skills of the testing team.
Foster a culture of innovation, collaboration, and continuous learning within the team.
Collaborate with cross-functional teams to develop comprehensive test plans.
Execute and oversee the execution of test cases, ensuring thorough coverage of functional and non-functional requirements.
Analyze test results and provide meaningful insights to improve product quality.
Work closely with developers, product managers, and other stakeholders to understand requirements and user stories.
Communicate effectively with team members and stakeholders, providing clear updates on testing progress and issues.
Add, maintain, and update scripts in existing automation suite, helping with running the suite across various checkpoints in the release cycle. 
Participate in various POCs (Proof of Concept) to keep the automation framework and technology relevant and current to product offerings. 
Conduct peer reviews of test code and automation frameworks. 

You Are

You are a seasoned SDET with an automate anything anywhere attitude who is looking for a challenging technical leadership role in a dynamic and innovative company.
You can efficiently find the underlying cause of a failure (in an integrated environment) and alert the right team.
You are consistently willing to pitch in to support a long running deployment, even after hours.
You are willing to learn and pick up new skillsets to support the ever-changing technology landscape like Cloud computing & AI (Artificial Intelligence).
You can understand complex product and deployment architectures and create efficient test solutions.
You want to be part of a team that is passionate about delivering high-quality software solutions.
Your Experience Includes 
Bachelor's degree in Computer Science, Engineering, or related technical or business field. 
4+ years of relevant experience working as a developer, automation engineer or SDET. 
4+ years of experience coding in Java and must have strong practical knowledge of OOPs and Core Java principles. 
4+ years of experience contributing to Test-Driven Development or BDD (Behavior Driven Development) with tools like Cucumber, Junit, Mockito, or TestNG.
3+ years of experience with CI/CD tools like Jenkins, Circle CI, or Azure DevOps with the ability to create test pipelines using Java or Groovy.
4+ years of experience with Selenium or Cypress frameworks for automating GUI (User Interface) and E2E tests of the application.
4+ years of experience with REST Assured or similar tools like Postman for automating APIs.
4+ years of experience working in a highly automated CI/CD environment. 
4+ years of experience with source control tools such as Bitbucket, GitHub or GitLab. 
2+ years of experience mining meaningful logs for troubleshooting using tools like Splunk, Dynatrace or Coralogix.
3+ years of experience working in a cloud shop preferably Azure with exposure to various Azure services like Gateways, Redis, Storage, VMs (virtual machines) and Kubernetes clusters. 
3+ years of experience in testing mobile applications, both native and websites using Appium on both real devices and simulators either in a private farm of 3rd party vendors like Sauce Labs or BrowserStack.
Strong analytical, critical thinking and problem-solving skills.
Ability to work as part of a team, demonstrate initiative, solve problems independently and mentor others.
Passion for high quality work and attention to detail.
Strong oral and written communication skills.

Extra Awesome

Prior exposure to AI/ML systems and how to use them in testing thus making test pipeline more intelligent.
Experience in analyzing the CPU Utilization, Memory usage, Network usage, Garbage Collection and DB Parameters and DB Reports to verify the performance of the applications.
Ability to spin up scalable test architecture using Docker or Kubernetes.
Experience with Kubernetes and extended usage patterns for test grids, auto scale properties.

• Innovate beyond our existing products and bring new ideas to life for Celonis.
• Ensure high quality and continuously improve procedures and practices.
• Work closely with your fellow engineers, project managers, and designers to create cohesive and efficient solutions.
• Collaborate with adjacent teams to drive a holistic project success spread across multiple geographies
• Learn and grow, not only in technical expertise but also in any other necessary aspects of making our projects reality.
• Brainstorm with the entire Celonis Labs team, research potential solutions, and ultimately bring them to life.

• Bachelor's or master's degree in a technical field (e.g., Computer Science, Software Engineering) or equivalent experience.
• 5+ years of experience as Backend Engineer with strong expertise in building microservices based products using Java, Spring framework, JPA, Hibernate is a must.
• Experience with building data pipelines in Databricks, ETL, Apache spark is a big plus.
• Relational databases; PostgreSQL a plus.
• Proficient in building cloud-native distributed systems.
• Able to demonstrate a generalist skill set across multiple technical areas besides the Backend, DevOps, Cloud Infrastructure.
• Ability to analyse and design complex software.
• Experience building scalable, fault-tolerant distributed systems.
• Proven background in building cloud-native software in the Kubernetes ecosystem, as well as with and on Hyperscalers such as AWS.
• Deep understanding of modern engineering practices (Git strategy, CI/CD, testing, …) and how to apply these to enable a team of multiple engineers.
• Problem-first attitude: you’re able to understand the needs of our customers and see technology as a means to an end, not an end in itself.
• Ability to quickly learn new things without tight supervision.
• Problem-solving attitude.
• Collaborative team spirit.

About the role

We are building a founding firmware engineering team in India and are looking for strong Firmware Engineers who want to own the foundation of new hardware platforms from day one. This role is focused on low level firmware development, early board bring up, and system level enablement across microcontrollers and infotainment class SoCs.

As a founding member of this team, you will work close to the hardware and have end to end ownership from first power on through a stable, production ready platform. Your work will define boot flows, OS bring up, performance characteristics, and power behavior that future products and teams will build on.

This is a deeply hands-on role for engineers who enjoy operating at the boundary of hardware and software, solving hard problems, and setting technical direction rather than inheriting it. You will collaborate closely with global teams, silicon vendors, and hardware partners while helping establish best practices and technical standards for the India organization.

At Applied Intuition, you will:

• Lead board bring up for new hardware platforms including microcontrollers and infotainment SoCs
• Develop and debug bootloaders and early boot software
• Bring up and customize FreeRTOS, QNX, Linux, and Android on new boards
• Work on Linux kernel and device driver enablement for custom hardware
• Optimize boot time, system startup, and runtime performance
• Drive power optimization across boot, idle states, and active workloads
• Debug complex hardware and software issues using JTAG, logic analyzers, and low level logs
• Collaborate closely with hardware teams, BSP vendors, and silicon partners
• Support system integration, validation, and bring up on real target hardware

We're looking for someone who has:

• 4+ years of strong experience in firmware or low level embedded systems development
• A Bachelor's degree in Computer Science, Embedded Software, Mechatronics, or equivalent
• Hands on experience with board bring up for MCUs or SoCs
• Deep knowledge of FreeRTOS and or QNX for embedded systems
• Experience working with Linux kernel or Android at the platform level
• Solid understanding of bootloaders such as U Boot or custom boot flows
• Strong C and C++ programming skills
• Experience debugging early boot and hardware dependent issues
• Understanding of power management, boot optimization, and performance tuning
• Comfort working close to hardware and reading schematics and datasheets
• Ability to work independently and take ownership from bring up to stabilization

Nice to have:

• Experience with BSP customization and silicon vendor SDKs
• Familiarity with secure boot, firmware update flows, or OTA mechanisms
• Experience supporting customer facing engineering or production bring up
• Experience with cloud-connected vehicle platforms, SDV architectures, and AI-driven automotive applications
• Knowledge of functional safety (ASIL levels), cybersecurity (ISO 21434), and AUTOSAR tooling

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: 2,165,800 - 5,000,000 INR annually.

About the Role

As a Conversational Design, Demo Engineer you will play a critical role in supporting pre-sales engagements through the design, analysis, and demonstration of Cresta’s AI capabilities. You’ll partner closely with Solution Engineers and Demo Engineering to craft compelling, high-quality conversational experiences that showcase Cresta’s value to prospective and existing customers.

Your work will focus on establishing clear business cases for net new and upsell opportunities, using conversation design and data-driven assessments to highlight measurable impact. You will leverage your understanding of different contact center verticals, such as financial services, insurance, telecommunications, retail and much more to tailor designs that resonate with each customer’s unique environment and goals.

This role requires close collaboration across Machine Learning, Product, Data Science, Customer Success, and Sales Engineering teams to ensure every customer-facing experience reflects the best of Cresta’s AI product suite.

Responsibilities:

• Collaborate closely with Solution Engineers and Demo Engineering to design and deliver high-impact, AI-driven demos, Proofs of Concept (POCs), and Conversation Assessments that clearly articulate Cresta’s value in real-world customer scenarios.
• Develop and generate high-quality synthetic conversations and AI model behaviors that realistically simulate customer interactions and bring priority use cases to life in pre-sales environments.
• Conduct in-depth Conversation Assessments and data analyses to uncover opportunity areas, quantify measurable impact, and build compelling business cases for net-new logo acquisition and upsell expansion.
• Continuously enhance demo environments by strengthening QA/QM frameworks, reporting layers, behavioral configurations, intent mining, metadata generation, and dashboard development to ensure accuracy, realism, and actionable insight.
• Design dashboards that tell a compelling business story. Be meticulous in defining metadata layers and required attributes to make demo environments feel authentic and industry-specific 
• Pro in Establishing structured Gen AI frameworks for e.g. complaint detection, customer experience measurement, repeat call analysis, and other traditionally subjective evaluation areas using Generative AI best practices. Develop scalable methodologies that move beyond keyword-based logic toward AI-driven contextual understanding.
• Lead the design of QA automation frameworks that maximize projection and coverage through a combination of GenAI capabilities and advanced keyword features, reducing subjectivity while increasing consistency, accuracy, and scalability.
• Build cross-vertical expertise (e.g., insurance, banking, telecom, retail, hospitality) and adapt tone, workflows, and interaction strategies to reflect each industry’s operational nuances and KPIs.
• Strategize and design scalable demo accounts that can be provisioned as sandbox environments for clients. Own end-to-end maintenance, optimization, and governance of these accounts to ensure readiness and reliability.Develop structured GTM templates and reusable demo narratives for Solution Engineers aligned to key use cases, enabling consistent and compelling storytelling during customer engagements.
• Design and deploy AI Agent experiences using flow-based, prompt-based, and hybrid architectures across both voice and chat channels.
• Contribute forward-thinking ideas on product scalability, feature evolution, and competitive differentiation. Analyze competitor approaches and proactively recommend ways to outpace the market.Challenge the status quo by introducing innovative, scalable processes and frameworks that improve efficiency, repeatability, and demo impact.
• Support and enhance Cresta’s Opera Enablement Program, empowering customers to independently design, build, test, and QA their own AI models within structured best-practice frameworks

Qualifications we Value:

• Strong alignment with Cresta’s culture and values — driven by a genuine desire to make people’s lives easier, even in fast-paced and high-pressure environments. Demonstrates resilience, positivity, and ownership, with the ability to maintain energy and focus when workloads are demanding. Brings a growth mindset, remains coachable, and continuously seeks new ideas to improve collaboration, team dynamics, and collective progression
• Deep understanding of contact center operations, performance metrics, and workflows across industries such as financial services, insurance, retail, and telecommunications. Clear awareness of the ongoing market shifts transforming contact centers — including AI adoption, automation, agent augmentation, omnichannel engagement, and operational efficiency mandates.
• Strong perspective on evolving contact center technologies and the tools agents use daily. Ability to think from both the agent and end-customer viewpoint, identifying how conversational intelligence and AI agents can simplify workflows, reduce friction, and improve overall experience. Prior hands-on contact center exposure is highly valued.
• Knowledge of industry-specific challenges and structural changes impacting contact center verticals today, and a clear understanding of how conversational AI and AI agents can streamline operations, improve compliance, drive retention, and enhance service quality.
• Experience collaborating cross-functionally with Solution Engineers, Sales, and Product teams in pre-sales, demo, or POC-driven environments.
• Minimum 3+ years of experience in conversational design, including building bots, virtual agents, AI-driven workflows, or conversation analytics solutions.
• Fluency in a second language is a plus.

Compensation at Cresta 

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

P-926

The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. 

As our Search product continues to evolve, we are seeking multiple  ML Engineers from junior levels to more senior levels to drive enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.

Key Responsibilities

• Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. 
• Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. 
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. 
• Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.

What We’re Looking For

• BS+ (M.S. or PhD preferred) in Computer Science, or a related field.
• 5+ years experience developing search relevance systems at scale in production or in high-impact research environments.
• Experience applying LLM to search relevance
• Experience in one or more of the following:  
• Query understanding
• NLP
• Text mining
• Recommendations
• Personalization
• Discovery
• Conversational AI 
• Strong understanding of computer science fundamentals.
• Contributions to well-used open-source projects. 

Why Join Us?
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

The Role:

We are looking for a Lead Value Engineer, Consumer Packaged Goods (CPG)—an industry expert who can bridge the gap between technical process mining and strategic business outcomes. You will act as an architect for critical work-streams within a major CPG account, translating complex operational data into clear value drivers.

As a Lead Value Engineer, you are a "go-to" execution expert within our CPG go-to-market organization. You will move beyond standard process optimization to link Celonis capabilities to key outcomes specific to fast-moving consumer goods operations.

You will work in partnership with the Celonis Sales Teams and have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor, helping 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 drive measurable business impact across various processes and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set and strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The work you’ll do:

Identify & Frame Value

• Translate Strategy to Operations: Analyze the client’s strategic priorities (e.g., Omnichannel Growth, Margin Protection, Supply Chain Agility, and Sustainability) and map them to high-impact Celonis use cases.
• Target High-Impact Areas: Architect solutions that connect data across the value chain—moving beyond simple task automation to optimizing complex ecosystems like Demand Planning, Trade Promotions Management (TPM), Logistics, and Direct-to-Consumer (D2C) fulfillment.
• Build the Business Case: Construct robust, data-backed business cases that articulate the financial and operational impact of Process Intelligence (e.g., reducing Cost of Goods Sold, optimizing working capital, or improving On-Time In-Full [OTIF] delivery) to senior management.
• Win Expansion: Build demos and business cases, leveraging industry benchmarks and best practices in order to win new expansion opportunities.
• Assess Value: Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity and strategic roadmap to C-Level executives.

Realize Value

• Drive Engagement Success: Lead the value workstream for pilots and implementations, ensuring the "digital twin" strategy effectively monitors process health in fast-paced, high-volume retail and consumer environments.
• Orchestrate Improvement: Guide customers on how to use Celonis to provide context to their AI agents, coordinating hand-offs between systems and teams in Order-to-Cash, Source-to-Pay, and Plan-to-Produce.
• Solve Systemic Challenges: Work cross-functionally to tackle difficult implementation hurdles, helping customers define standards for Retailer Compliance, master data governance, or supply network visibility.
• Facilitate Workshops: Run business value workshops and use Celonis to identify and qualify opportunities for process enhancement.
• Initiate Change: Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives.
• Present Results: Present results and realized value to senior management and C-level executives.

Scale Value

• Codify Best Practices: Turn our solutions into reusable assets and use cases for the broader Value Engineering team.
• Mentor & Enable: Act as a senior resource for the team, helping junior engineers understand CPG terminology, seasonality nuances, and retail stakeholder management.
• Product Feedback: Serve as a bridge between the customer and our Product teams, providing specific feedback on how to enhance our platform for the CPG vertical (e.g., specific requirements for Trade Spend visibility or SKU Rationalization).
• Manage the Journey: Responsible for the end-to-end customer value journey, landing, expanding, adoption, and renewing.
• Build Roadmaps: Build a strategic expansion roadmap for customers embedding the Celonis Process Intelligence Platform as a strategic business transformation platform in their organization.
• Drive Innovation: Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use cases.

The qualifications you need:

• Deep Industry Experience: 8+ years of relevant experience in Finance, Supply Chain, or Operations, ideally combining time at a CPG/FMCG company with Management Consulting or Sales Engineering.
• Domain Expertise: You possess granular knowledge of the CPG value chain, specifically in areas such as Demand & Supply Planning, Logistics, Trade Promotions, or Consumer/Retail Operations.
• Growth Mindset: Proven track record of managing the full customer lifecycle, with a demonstrated ability to land new accounts, expand footprint through strategic upselling, and drive long-term value to ensure high retention and organic advocacy.
• Value Realization Skills: You have a track record of identifying operational inefficiencies and driving them to resolution. You understand how to impact the P&L through process improvement and technology deployment.
• Technical Fluency: Good knowledge of Business Software/SaaS applications (e.g., SAP S/4HANA, Salesforce Consumer Goods Cloud, SAP IBP), and experience with data visualization, SQL, or Python is a strong plus.
• Stakeholder Management: Experience presenting to and working with senior stakeholders. You can navigate complex internal structures and clearly communicate value to non-technical audiences.
• Builder Mentality: You are comfortable working with ambiguity and setting your own direction within an account team to achieve the best results.
• Degree: Degree in Industrial/Business Engineering, Supply Chain Management, Informatics, Mathematics, or similar.

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

What It’s Like to Work at YipitData:

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

• Ownership That Matters: You’ll lead high-impact projects with real business outcomes
• Rapid Growth: We compress years of learning into months
• Merit Over Titles: Trust and responsibility are earned through execution, not tenure
• Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention

Who Thrives Here?

We hire sprinters, not coasters—people who:

• Choose growth over comfort
• Lead through challenges
• Are energized by high expectations

It’s not for everyone, and that’s intentional. If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.

We are hiring 2 senior software engineers (alternative title: senior backend engineer). One will join our Infrastructure Team, and the other will join our Data Feeds Team.

As Our Senior Software Engineer in the Infrastructure Team, You Will be Responsible for:

• ERP Data Connector Specialist: You'll be the one implementing connectors to fetch ERP data. It's like building a bridge to a treasure trove of information. And not just that, you've got to ensure this data has high availability. So, whether it's the crack of dawn or the dead of night, the ERP data should be accessible without a hitch.
• Backend API Master: Customers' requirements are constantly evolving, and that's where you come in. You'll be implementing or upgrading backend APIs to fit these new demands like a custom-made glove. Your work will be the driving force behind our ability to keep up with the market.
• ERP Data Storage Maestro: Take charge of the ERP system’s data storage. It's your kingdom, and you're responsible for all related improvements. Make sure the data is stored efficiently and securely, and is always ready for action.
• Business-Tech Liaison: Understand the business requirements inside out. Jump right into discussions with the team and bring your A-game to design technical solutions. You'll be the one who bridges the gap between business needs and technical implementation.
• Service Maintenance and Upgrade Champion: Maintain our existing services like a pro. Dive into iterative upgrades, deploy improvements, and take charge of service governance. Your work will be the glue that holds our services together and keeps them evolving.
• Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always!

As Our Senior Software Engineer in the Data Feeds Team, You Will be Responsible for:

• Data Pipelines Maestro: You'll be responsible for developing, optimizing, and maintaining super-scalable data pipelines. Whether it's structured data flowing like a well-oiled stream or unstructured data that needs taming, you've got to make sure these pipelines are top-notch for seamless processing.
• Data Systems Guardian: Existing data systems and services. You bet you'll be the one maintaining and enhancing their stability, reliability, and ensuring high availability. Think of yourself as the shield that keeps our data world running smoothly.
• Data Architecture Builder: Team up with our amazing crew to construct and refine an expandable, high-performance data architecture. It's like building a digital skyscraper, but with data blocks!
• Data Services Provider: Partner with different teams across the board. Your mission is to serve up high-quality, rock-solid data services to all our internal users. They'll be relying on you like a lifeline for their data needs.
• Business-Aligned Data Designer: Get the hang of product and business requirements. Then, design and implement data functionalities that are not only useful but also come with super- intuitive data visualizations. Make data come alive!
• Third-Party Data Integrator: Oversee the integration and maintenance of collaborative data with our third-party clients. Solve their data mining and analytical headaches, and you'll be the hero of the data realm.
• Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always!
• Data Governance Enforcer: Enforce the best practices in data governance, security, and compliance. You're the gatekeeper of sensitive information, and you've got to keep it safe at all costs.

This is a fully-remote opportunity based in India. Standard work hours are from 8 am to 5 pm IST.

You Are Likely To Succeed If you have:

• Bachelor's degree in Computer Science, or related majors, 10+ yrs backend experience.
• Solid computer foundation and programming skills, familiar with common data structures and algorithms.
• Excellent in one of the following languages: Go/Python
• Familiarity with one of open source components: Mysql/Redis/Message Queue/Nosql.
• Familiarity with ElasticSearch OR Spark (for Data Feeds Team)

Experience in architecture and developing large-scale distributed systems. (for Infrastructure Team)

• Excellent logic analysis capabilities, able to abstract and split business logic reasonably.
• Exposure to cloud infrastructure, such as kubernates/docker, Azure/AWS/GCP.
• Familiarity with ERP systems.

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary: 

• We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.

Job Applicant Privacy Notice

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

What It’s Like to Work at YipitData:

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

• Ownership That Matters: You’ll lead high-impact projects with real business outcomes
• Rapid Growth: We compress years of learning into months
• Merit Over Titles: Trust and responsibility are earned through execution, not tenure
• Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention

Who Thrives Here?

We hire sprinters, not coasters—people who:

• Choose growth over comfort
• Lead through challenges
• Are energized by high expectations

It’s not for everyone, and that’s intentional. If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.

We are hiring 2 senior software engineers (alternative title: senior backend engineer). One will join our Infrastructure Team, and the other will join our Data Feeds Team.

As Our Senior Software Engineer in the Infrastructure Team, You Will be Responsible for:

• ERP Data Connector Specialist: You'll be the one implementing connectors to fetch ERP data. It's like building a bridge to a treasure trove of information. And not just that, you've got to ensure this data has high availability. So, whether it's the crack of dawn or the dead of night, the ERP data should be accessible without a hitch.
• Backend API Master: Customers' requirements are constantly evolving, and that's where you come in. You'll be implementing or upgrading backend APIs to fit these new demands like a custom-made glove. Your work will be the driving force behind our ability to keep up with the market.
• ERP Data Storage Maestro: Take charge of the ERP system’s data storage. It's your kingdom, and you're responsible for all related improvements. Make sure the data is stored efficiently and securely, and is always ready for action.
• Business-Tech Liaison: Understand the business requirements inside out. Jump right into discussions with the team and bring your A-game to design technical solutions. You'll be the one who bridges the gap between business needs and technical implementation.
• Service Maintenance and Upgrade Champion: Maintain our existing services like a pro. Dive into iterative upgrades, deploy improvements, and take charge of service governance. Your work will be the glue that holds our services together and keeps them evolving.
• Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always!

As Our Senior Software Engineer in the Data Feeds Team, You Will be Responsible for:

• Data Pipelines Maestro: You'll be responsible for developing, optimizing, and maintaining super-scalable data pipelines. Whether it's structured data flowing like a well-oiled stream or unstructured data that needs taming, you've got to make sure these pipelines are top-notch for seamless processing.
• Data Systems Guardian: Existing data systems and services. You bet you'll be the one maintaining and enhancing their stability, reliability, and ensuring high availability. Think of yourself as the shield that keeps our data world running smoothly.
• Data Architecture Builder: Team up with our amazing crew to construct and refine an expandable, high-performance data architecture. It's like building a digital skyscraper, but with data blocks!
• Data Services Provider: Partner with different teams across the board. Your mission is to serve up high-quality, rock-solid data services to all our internal users. They'll be relying on you like a lifeline for their data needs.
• Business-Aligned Data Designer: Get the hang of product and business requirements. Then, design and implement data functionalities that are not only useful but also come with super- intuitive data visualizations. Make data come alive!
• Third-Party Data Integrator: Oversee the integration and maintenance of collaborative data with our third-party clients. Solve their data mining and analytical headaches, and you'll be the hero of the data realm.
• Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always!
• Data Governance Enforcer: Enforce the best practices in data governance, security, and compliance. You're the gatekeeper of sensitive information, and you've got to keep it safe at all costs.

This is a fully-remote opportunity based in India. Standard work hours are from 8 am to 5 pm IST.

You Are Likely To Succeed If you have:

• Bachelor's degree in Computer Science, or related majors, 5+ yrs backend experience.
• Solid computer foundation and programming skills, familiar with common data structures and algorithms.
• Excellent in one of the following languages: Go/Python
• Familiarity with one of open source components: Mysql/Redis/Message Queue/Nosql.
• Familiarity with ElasticSearch OR Spark (for Data Feeds Team)

Experience in architecture and developing large-scale distributed systems. (for Infrastructure Team)

• Excellent logic analysis capabilities, able to abstract and split business logic reasonably.
• Exposure to cloud infrastructure, such as kubernates/docker, Azure/AWS/GCP.
• Familiarity with ERP systems.

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary: 

• We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.

Job Applicant Privacy Notice

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

What It’s Like to Work at YipitData:

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

• Ownership That Matters: You’ll lead high-impact projects with real business outcomes
• Rapid Growth: We compress years of learning into months
• Merit Over Titles: Trust and responsibility are earned through execution, not tenure
• Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention

Who Thrives Here?

We hire sprinters, not coasters—people who:

• Choose growth over comfort
• Lead through challenges
• Are energized by high expectations

It’s not for everyone, and that’s intentional. If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.

We are hiring 2 senior software engineers (alternative title: senior backend engineer). One will join our Infrastructure Team, and the other will join our Data Feeds Team.

As Our Senior Software Engineer in the Infrastructure Team, You Will be Responsible for:

• ERP Data Connector Specialist: You'll be the one implementing connectors to fetch ERP data. It's like building a bridge to a treasure trove of information. And not just that, you've got to ensure this data has high availability. So, whether it's the crack of dawn or the dead of night, the ERP data should be accessible without a hitch.
• Backend API Master: Customers' requirements are constantly evolving, and that's where you come in. You'll be implementing or upgrading backend APIs to fit these new demands like a custom-made glove. Your work will be the driving force behind our ability to keep up with the market.
• ERP Data Storage Maestro: Take charge of the ERP system’s data storage. It's your kingdom, and you're responsible for all related improvements. Make sure the data is stored efficiently and securely, and is always ready for action.
• Business-Tech Liaison: Understand the business requirements inside out. Jump right into discussions with the team and bring your A-game to design technical solutions. You'll be the one who bridges the gap between business needs and technical implementation.
• Service Maintenance and Upgrade Champion: Maintain our existing services like a pro. Dive into iterative upgrades, deploy improvements, and take charge of service governance. Your work will be the glue that holds our services together and keeps them evolving.
• Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always!

As Our Senior Software Engineer in the Data Feeds Team, You Will be Responsible for:

• Data Pipelines Maestro: You'll be responsible for developing, optimizing, and maintaining super-scalable data pipelines. Whether it's structured data flowing like a well-oiled stream or unstructured data that needs taming, you've got to make sure these pipelines are top-notch for seamless processing.
• Data Systems Guardian: Existing data systems and services. You bet you'll be the one maintaining and enhancing their stability, reliability, and ensuring high availability. Think of yourself as the shield that keeps our data world running smoothly.
• Data Architecture Builder: Team up with our amazing crew to construct and refine an expandable, high-performance data architecture. It's like building a digital skyscraper, but with data blocks!
• Data Services Provider: Partner with different teams across the board. Your mission is to serve up high-quality, rock-solid data services to all our internal users. They'll be relying on you like a lifeline for their data needs.
• Business-Aligned Data Designer: Get the hang of product and business requirements. Then, design and implement data functionalities that are not only useful but also come with super- intuitive data visualizations. Make data come alive!
• Third-Party Data Integrator: Oversee the integration and maintenance of collaborative data with our third-party clients. Solve their data mining and analytical headaches, and you'll be the hero of the data realm.
• Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always!
• Data Governance Enforcer: Enforce the best practices in data governance, security, and compliance. You're the gatekeeper of sensitive information, and you've got to keep it safe at all costs.

This is a fully-remote opportunity based in India. Standard work hours are from 8 am to 5 pm IST.

You Are Likely To Succeed If you have:

• Bachelor's degree in Computer Science, or related majors, 5+ yrs backend experience.
• Solid computer foundation and programming skills, familiar with common data structures and algorithms.
• Excellent in one of the following languages: Go/Python
• Familiarity with one of open source components: Mysql/Redis/Message Queue/Nosql.
• Familiarity with ElasticSearch OR Spark (for Data Feeds Team)

Experience in architecture and developing large-scale distributed systems. (for Infrastructure Team)

• Excellent logic analysis capabilities, able to abstract and split business logic reasonably.
• Exposure to cloud infrastructure, such as kubernates/docker, Azure/AWS/GCP.
• Familiarity with ERP systems.

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary: 

• We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.

Job Applicant Privacy Notice

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

What It’s Like to Work at YipitData:

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

• Ownership That Matters: You’ll lead high-impact projects with real business outcomes
• Rapid Growth: We compress years of learning into months
• Merit Over Titles: Trust and responsibility are earned through execution, not tenure
• Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention

Who Thrives Here?

We hire sprinters, not coasters—people who:

• Choose growth over comfort
• Lead through challenges
• Are energized by high expectations

It’s not for everyone, and that’s intentional. If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.

We are hiring 2 senior software engineers (alternative title: senior backend engineer). One will join our Infrastructure Team, and the other will join our Data Feeds Team.

As Our Senior Software Engineer in the Infrastructure Team, You Will be Responsible for:

• ERP Data Connector Specialist: You'll be the one implementing connectors to fetch ERP data. It's like building a bridge to a treasure trove of information. And not just that, you've got to ensure this data has high availability. So, whether it's the crack of dawn or the dead of night, the ERP data should be accessible without a hitch.
• Backend API Master: Customers' requirements are constantly evolving, and that's where you come in. You'll be implementing or upgrading backend APIs to fit these new demands like a custom-made glove. Your work will be the driving force behind our ability to keep up with the market.
• ERP Data Storage Maestro: Take charge of the ERP system’s data storage. It's your kingdom, and you're responsible for all related improvements. Make sure the data is stored efficiently and securely, and is always ready for action.
• Business-Tech Liaison: Understand the business requirements inside out. Jump right into discussions with the team and bring your A-game to design technical solutions. You'll be the one who bridges the gap between business needs and technical implementation.
• Service Maintenance and Upgrade Champion: Maintain our existing services like a pro. Dive into iterative upgrades, deploy improvements, and take charge of service governance. Your work will be the glue that holds our services together and keeps them evolving.
• Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always!

As Our Senior Software Engineer in the Data Feeds Team, You Will be Responsible for:

• Data Pipelines Maestro: You'll be responsible for developing, optimizing, and maintaining super-scalable data pipelines. Whether it's structured data flowing like a well-oiled stream or unstructured data that needs taming, you've got to make sure these pipelines are top-notch for seamless processing.
• Data Systems Guardian: Existing data systems and services. You bet you'll be the one maintaining and enhancing their stability, reliability, and ensuring high availability. Think of yourself as the shield that keeps our data world running smoothly.
• Data Architecture Builder: Team up with our amazing crew to construct and refine an expandable, high-performance data architecture. It's like building a digital skyscraper, but with data blocks!
• Data Services Provider: Partner with different teams across the board. Your mission is to serve up high-quality, rock-solid data services to all our internal users. They'll be relying on you like a lifeline for their data needs.
• Business-Aligned Data Designer: Get the hang of product and business requirements. Then, design and implement data functionalities that are not only useful but also come with super- intuitive data visualizations. Make data come alive!
• Third-Party Data Integrator: Oversee the integration and maintenance of collaborative data with our third-party clients. Solve their data mining and analytical headaches, and you'll be the hero of the data realm.
• Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always!
• Data Governance Enforcer: Enforce the best practices in data governance, security, and compliance. You're the gatekeeper of sensitive information, and you've got to keep it safe at all costs.

This is a fully-remote opportunity based in India. Standard work hours are from 8 am to 5 pm IST.

You Are Likely To Succeed If you have:

• Bachelor's degree in Computer Science, or related majors, 5+ yrs backend experience.
• Solid computer foundation and programming skills, familiar with common data structures and algorithms.
• Excellent in one of the following languages: Go/Python
• Familiarity with one of open source components: Mysql/Redis/Message Queue/Nosql.
• Familiarity with ElasticSearch OR Spark (for Data Feeds Team)

Experience in architecture and developing large-scale distributed systems. (for Infrastructure Team)

• Excellent logic analysis capabilities, able to abstract and split business logic reasonably.
• Exposure to cloud infrastructure, such as kubernates/docker, Azure/AWS/GCP.
• Familiarity with ERP systems.

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary: 

• We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.

Job Applicant Privacy Notice

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

What It’s Like to Work at YipitData:

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

• Ownership That Matters: You’ll lead high-impact projects with real business outcomes
• Rapid Growth: We compress years of learning into months
• Merit Over Titles: Trust and responsibility are earned through execution, not tenure
• Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention

Who Thrives Here?

We hire sprinters, not coasters—people who:

• Choose growth over comfort
• Lead through challenges
• Are energized by high expectations

It’s not for everyone, and that’s intentional. If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.

We are hiring 2 senior software engineers (alternative title: senior backend engineer). One will join our Infrastructure Team, and the other will join our Data Feeds Team.

As Our Senior Software Engineer in the Infrastructure Team, You Will be Responsible for:

• ERP Data Connector Specialist: You'll be the one implementing connectors to fetch ERP data. It's like building a bridge to a treasure trove of information. And not just that, you've got to ensure this data has high availability. So, whether it's the crack of dawn or the dead of night, the ERP data should be accessible without a hitch.
• Backend API Master: Customers' requirements are constantly evolving, and that's where you come in. You'll be implementing or upgrading backend APIs to fit these new demands like a custom-made glove. Your work will be the driving force behind our ability to keep up with the market.
• ERP Data Storage Maestro: Take charge of the ERP system’s data storage. It's your kingdom, and you're responsible for all related improvements. Make sure the data is stored efficiently and securely, and is always ready for action.
• Business-Tech Liaison: Understand the business requirements inside out. Jump right into discussions with the team and bring your A-game to design technical solutions. You'll be the one who bridges the gap between business needs and technical implementation.
• Service Maintenance and Upgrade Champion: Maintain our existing services like a pro. Dive into iterative upgrades, deploy improvements, and take charge of service governance. Your work will be the glue that holds our services together and keeps them evolving.
• Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always!

As Our Senior Software Engineer in the Data Feeds Team, You Will be Responsible for:

• Data Pipelines Maestro: You'll be responsible for developing, optimizing, and maintaining super-scalable data pipelines. Whether it's structured data flowing like a well-oiled stream or unstructured data that needs taming, you've got to make sure these pipelines are top-notch for seamless processing.
• Data Systems Guardian: Existing data systems and services. You bet you'll be the one maintaining and enhancing their stability, reliability, and ensuring high availability. Think of yourself as the shield that keeps our data world running smoothly.
• Data Architecture Builder: Team up with our amazing crew to construct and refine an expandable, high-performance data architecture. It's like building a digital skyscraper, but with data blocks!
• Data Services Provider: Partner with different teams across the board. Your mission is to serve up high-quality, rock-solid data services to all our internal users. They'll be relying on you like a lifeline for their data needs.
• Business-Aligned Data Designer: Get the hang of product and business requirements. Then, design and implement data functionalities that are not only useful but also come with super- intuitive data visualizations. Make data come alive!
• Third-Party Data Integrator: Oversee the integration and maintenance of collaborative data with our third-party clients. Solve their data mining and analytical headaches, and you'll be the hero of the data realm.
• Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always!
• Data Governance Enforcer: Enforce the best practices in data governance, security, and compliance. You're the gatekeeper of sensitive information, and you've got to keep it safe at all costs.

This is a fully-remote opportunity based in India. Standard work hours are from 8 am to 5 pm IST.

You Are Likely To Succeed If you have:

• Bachelor's degree in Computer Science, or related majors, 5+ yrs backend experience.
• Solid computer foundation and programming skills, familiar with common data structures and algorithms.
• Excellent in one of the following languages: Go/Python
• Familiarity with one of open source components: Mysql/Redis/Message Queue/Nosql.
• Familiarity with ElasticSearch OR Spark (for Data Feeds Team)

Experience in architecture and developing large-scale distributed systems. (for Infrastructure Team)

• Excellent logic analysis capabilities, able to abstract and split business logic reasonably.
• Exposure to cloud infrastructure, such as kubernates/docker, Azure/AWS/GCP.
• Familiarity with ERP systems.

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary: 

• We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.

Job Applicant Privacy Notice

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

What It’s Like to Work at YipitData:

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

• Ownership That Matters: You’ll lead high-impact projects with real business outcomes
• Rapid Growth: We compress years of learning into months
• Merit Over Titles: Trust and responsibility are earned through execution, not tenure
• Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention

Who Thrives Here?

We hire sprinters, not coasters—people who:

• Choose growth over comfort
• Lead through challenges
• Are energized by high expectations

It’s not for everyone, and that’s intentional. If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.

We are hiring 2 senior software engineers (alternative title: senior backend engineer). One will join our Infrastructure Team, and the other will join our Data Feeds Team.

As Our Senior Software Engineer in the Infrastructure Team, You Will be Responsible for:

• ERP Data Connector Specialist: You'll be the one implementing connectors to fetch ERP data. It's like building a bridge to a treasure trove of information. And not just that, you've got to ensure this data has high availability. So, whether it's the crack of dawn or the dead of night, the ERP data should be accessible without a hitch.
• Backend API Master: Customers' requirements are constantly evolving, and that's where you come in. You'll be implementing or upgrading backend APIs to fit these new demands like a custom-made glove. Your work will be the driving force behind our ability to keep up with the market.
• ERP Data Storage Maestro: Take charge of the ERP system’s data storage. It's your kingdom, and you're responsible for all related improvements. Make sure the data is stored efficiently and securely, and is always ready for action.
• Business-Tech Liaison: Understand the business requirements inside out. Jump right into discussions with the team and bring your A-game to design technical solutions. You'll be the one who bridges the gap between business needs and technical implementation.
• Service Maintenance and Upgrade Champion: Maintain our existing services like a pro. Dive into iterative upgrades, deploy improvements, and take charge of service governance. Your work will be the glue that holds our services together and keeps them evolving.
• Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always!

As Our Senior Software Engineer in the Data Feeds Team, You Will be Responsible for:

• Data Pipelines Maestro: You'll be responsible for developing, optimizing, and maintaining super-scalable data pipelines. Whether it's structured data flowing like a well-oiled stream or unstructured data that needs taming, you've got to make sure these pipelines are top-notch for seamless processing.
• Data Systems Guardian: Existing data systems and services. You bet you'll be the one maintaining and enhancing their stability, reliability, and ensuring high availability. Think of yourself as the shield that keeps our data world running smoothly.
• Data Architecture Builder: Team up with our amazing crew to construct and refine an expandable, high-performance data architecture. It's like building a digital skyscraper, but with data blocks!
• Data Services Provider: Partner with different teams across the board. Your mission is to serve up high-quality, rock-solid data services to all our internal users. They'll be relying on you like a lifeline for their data needs.
• Business-Aligned Data Designer: Get the hang of product and business requirements. Then, design and implement data functionalities that are not only useful but also come with super- intuitive data visualizations. Make data come alive!
• Third-Party Data Integrator: Oversee the integration and maintenance of collaborative data with our third-party clients. Solve their data mining and analytical headaches, and you'll be the hero of the data realm.
• Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always!
• Data Governance Enforcer: Enforce the best practices in data governance, security, and compliance. You're the gatekeeper of sensitive information, and you've got to keep it safe at all costs.

This is a fully-remote opportunity based in India. Standard work hours are from 8 am to 5 pm IST.

You Are Likely To Succeed If you have:

• Bachelor's degree in Computer Science, or related majors, 5+ yrs backend experience.
• Solid computer foundation and programming skills, familiar with common data structures and algorithms.
• Excellent in one of the following languages: Go/Python
• Familiarity with one of open source components: Mysql/Redis/Message Queue/Nosql.
• Familiarity with ElasticSearch OR Spark (for Data Feeds Team)

Experience in architecture and developing large-scale distributed systems. (for Infrastructure Team)

• Excellent logic analysis capabilities, able to abstract and split business logic reasonably.
• Exposure to cloud infrastructure, such as kubernates/docker, Azure/AWS/GCP.
• Familiarity with ERP systems.

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary: 

• We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.

Job Applicant Privacy Notice

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

What It’s Like to Work at YipitData:

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

• Ownership That Matters: You’ll lead high-impact projects with real business outcomes
• Rapid Growth: We compress years of learning into months
• Merit Over Titles: Trust and responsibility are earned through execution, not tenure
• Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention

Who Thrives Here?

We hire sprinters, not coasters—people who:

• Choose growth over comfort
• Lead through challenges
• Are energized by high expectations

It’s not for everyone, and that’s intentional. If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.

We are hiring 2 senior software engineers (alternative title: senior backend engineer). One will join our Infrastructure Team, and the other will join our Data Feeds Team.

As Our Senior Software Engineer in the Infrastructure Team, You Will be Responsible for:

• ERP Data Connector Specialist: You'll be the one implementing connectors to fetch ERP data. It's like building a bridge to a treasure trove of information. And not just that, you've got to ensure this data has high availability. So, whether it's the crack of dawn or the dead of night, the ERP data should be accessible without a hitch.
• Backend API Master: Customers' requirements are constantly evolving, and that's where you come in. You'll be implementing or upgrading backend APIs to fit these new demands like a custom-made glove. Your work will be the driving force behind our ability to keep up with the market.
• ERP Data Storage Maestro: Take charge of the ERP system’s data storage. It's your kingdom, and you're responsible for all related improvements. Make sure the data is stored efficiently and securely, and is always ready for action.
• Business-Tech Liaison: Understand the business requirements inside out. Jump right into discussions with the team and bring your A-game to design technical solutions. You'll be the one who bridges the gap between business needs and technical implementation.
• Service Maintenance and Upgrade Champion: Maintain our existing services like a pro. Dive into iterative upgrades, deploy improvements, and take charge of service governance. Your work will be the glue that holds our services together and keeps them evolving.
• Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always!

As Our Senior Software Engineer in the Data Feeds Team, You Will be Responsible for:

• Data Pipelines Maestro: You'll be responsible for developing, optimizing, and maintaining super-scalable data pipelines. Whether it's structured data flowing like a well-oiled stream or unstructured data that needs taming, you've got to make sure these pipelines are top-notch for seamless processing.
• Data Systems Guardian: Existing data systems and services. You bet you'll be the one maintaining and enhancing their stability, reliability, and ensuring high availability. Think of yourself as the shield that keeps our data world running smoothly.
• Data Architecture Builder: Team up with our amazing crew to construct and refine an expandable, high-performance data architecture. It's like building a digital skyscraper, but with data blocks!
• Data Services Provider: Partner with different teams across the board. Your mission is to serve up high-quality, rock-solid data services to all our internal users. They'll be relying on you like a lifeline for their data needs.
• Business-Aligned Data Designer: Get the hang of product and business requirements. Then, design and implement data functionalities that are not only useful but also come with super- intuitive data visualizations. Make data come alive!
• Third-Party Data Integrator: Oversee the integration and maintenance of collaborative data with our third-party clients. Solve their data mining and analytical headaches, and you'll be the hero of the data realm.
• Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always!
• Data Governance Enforcer: Enforce the best practices in data governance, security, and compliance. You're the gatekeeper of sensitive information, and you've got to keep it safe at all costs.

This is a fully-remote opportunity based in India. Standard work hours are from 8 am to 5 pm IST.

You Are Likely To Succeed If you have:

• Bachelor's degree in Computer Science, or related majors, 5+ yrs backend experience.
• Solid computer foundation and programming skills, familiar with common data structures and algorithms.
• Excellent in one of the following languages: Go/Python
• Familiarity with one of open source components: Mysql/Redis/Message Queue/Nosql.
• Familiarity with ElasticSearch OR Spark (for Data Feeds Team)

Experience in architecture and developing large-scale distributed systems. (for Infrastructure Team)

• Excellent logic analysis capabilities, able to abstract and split business logic reasonably.
• Exposure to cloud infrastructure, such as kubernates/docker, Azure/AWS/GCP.
• Familiarity with ERP systems.

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary: 

• We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.

Job Applicant Privacy Notice

• As a core function of the position, you will be responsible for the analysis, diagnosis, and recovery of complex technical issues. This will involve close engagement and interaction with our Product and Engineering teams and at times with our customers.

• Provide in-depth technical support for customer issues across one or more product areas of the Celonis Platform
• Drive and resolve complex Tickets according to ITSM processes
• Qualify problems or defects for close collaboration with Celonis Development and Product Management
• Participate and drive regular Root Cause Analysis (RCA) cycles to improve our Support Knowledge base
• Contribute to Continual Service Improvement (CSI) cycles and initiatives of Celonis and Celonis Support Organisation
• Participate in 24x7 Support model

• An education in the field of IT, Computer Science, Engineering, or similar.
• First experience working as Technical Support Engineer, ideally experience handling complex technical issues.
• A fundamental working ability of heterogeneous Linux/Unix systems.
• Knowledge in one or more areas: SSO, JKS, Docker, Kubernetes, Datadog, Python, Java
• Have a structured approach to analyse and resolve issues
• Ideally, experience with database systems and SQL
• Experience with AWS and / or MS Azure.
• Customer contact experience, communication and service-oriented.
• A thirst to learn and like bringing ideas to the table.

Job Title: Senior Data Engineer - Scala

Job Description:

The Senior Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and building out new API integrations to support continuing increases in data volume and complexity. They will collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.

Responsibilities:

• Design, construct, install, test and maintain highly scalable data management systems & Data Pipeline.
• Ensure systems meet business requirements and industry practices.
• Build high-performance algorithms, prototypes, predictive models, and proof of concepts.
• Research opportunities for data acquisition and new uses for existing data.
• Develop data set processes for data modeling, mining and production.
• Integrate new data management technologies and software engineering tools into existing structures.
• Create custom software components and analytics applications.
• Install and update disaster recovery procedures.
• Collaborate with data architects, modelers, and IT team members on project goals.
• Provide senior level technical consulting to peer data engineers during data application design and development for highly complex and critical data projects.

Qualifications:

• Bachelor's degree in computer science, Engineering, or related field, or equivalent work experience.
• Proven 5-8 years of experience as a Senior Data Engineer or similar role.
• Experience with big data tools: Python, Hadoop, Spark, Pyspark & Scala
• Expert level SQL skills for data manipulation (DML) and validation (DB2).
• Experience with data pipeline and workflow management tools.
• Experience with object-oriented/object function scripting languages: Python, Java, Go lang etc.
• Strong problem solving and analytical skills.
• Excellent verbal communication skills.
• Good interpersonal skills.
• Ability to provide technical leadership for the team.

The Team:

The Role:

The work you’ll do:

The Team:

The position of Lead Value Engineer is a trusted advisor helping customers achieve their strategic goals and realise significant value using the Celonis Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing. 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.

The Role:

As a Lead 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 and 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 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:

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 executive

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 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 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),  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 and sovereign appearance.

Degree: In Technology & Management, Industrial/Business Engineering, Business Informatics, Computer Science, Mathematics, Economics or a comparable degree program

Overview

You will join the Sailfin Accounts Receivable (AR) Team, a product engineering team in the Finance and Accounting domain. We build, deploy, and maintain an enterprise AR product used by global customers.
The team is primarily based in India, including this role in Remote, India, and uses modern engineering standards, automation, and AI/ML-enabled components to build high-quality financial solutions.

Job Summary

We are looking for a Salesforce Software Engineer with 5+ years of strong experience on the Salesforce Force.com platform.
You must be hands-on with Apex, Lightning Web Components (LWC), integration patterns, and end-to-end application development.

Basic knowledge of Python and AI/LLM concepts is a plus, as you will collaborate with our AI engineering team to integrate intelligent features into the AR product.

Key Responsibilities

• Design, develop, and optimize Salesforce solutions using Apex, LWC, and Lightning Framework.
• Work with cross-functional teams to translate business needs into scalable Salesforce solutions.
• Own full development lifecycle: design → build → test → deploy → support.
• Implement best practices in Salesforce configuration, security, and performance tuning.
• Build and support integrations using REST/SOAP APIs, middleware, and external services.
• Ensure code quality through unit testing, code reviews, and development standards.
• Collaborate in DevOps workflows (Git, CI/CD tools).
• Stay updated with Salesforce releases and emerging features.
• Partner with the AI team to integrate Python-based services, LLM workflows, or automation enhancements.

Required Skills & Qualifications

• 6+ years of hands-on Salesforce development experience.
• Strong proficiency in LWC, Apex, SOQL, Lightning Framework, and platform fundamentals.
• Deep understanding of Salesforce architecture, governor limits, security model, and best practices.
• Experience with Salesforce integrations (REST, SOAP, middleware, APIs).
• Good understanding of web fundamentals (HTTP, JSON, auth flows).
• Basic experience with Python for automation or service integration.
• Basic understanding of AI/LLMs, with willingness to integrate LLM-powered features.
• Experience using AI-assisted coding tools (Copilot, CodeWhisperer, vibe coding tools, or similar) to accelerate development speed and improve code quality.
• Ability to work independently, solve problems, and collaborate with cross-functional teams.
• Salesforce certifications (PD1, App Builder) are preferred.

Nice to Have

• Experience working in Agile/Scrum setups.
• Hands-on experience with DevOps tools (Git, Jenkins, Copado, Gearset).
• Experience with Einstein AI or integrating external AI/ML services into Salesforce.

Knowledge of event-driven architecture or platform events.

P-1408

The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. 

As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.

Key Responsibilities

• Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. 
• Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. 
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. 
• Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.

What We’re Looking For

• BS+ (M.S. or PhD preferred) in Computer Science, or a related field.
• 10+ years experience developing search relevance systems at scale in production or in high-impact research environments.
• Experience applying LLM to search relevance
• Experience in one or more of the following:  
• Query understanding
• NLP
• Text mining
• Recommendations
• Personalization
• Discovery
• Conversational AI 
• Strong understanding of computer science fundamentals.
• Contributions to well-used open-source projects. 

Why Join Us?
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

P-1407

The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. 

As our Search product continues to evolve, we are seeking multiple ML Engineers from junior levels to more senior levels to drive enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.

Key Responsibilities

• Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. 
• Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. 
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. 
• Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.

What We’re Looking For

• BS+ (M.S. or PhD preferred) in Computer Science, or a related field.
• 6+ years experience developing search relevance systems at scale in production or in high-impact research environments.
• Experience applying LLM to search relevance
• Experience in one or more of the following:  
• Query understanding
• NLP
• Text mining
• Recommendations
• Personalization
• Discovery
• Conversational AI 
• Strong understanding of computer science fundamentals.
• Contributions to well-used open-source projects. 

Why Join Us?
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

P-1407

The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. 

As our Search product continues to evolve, we are seeking multiple ML Engineers from junior levels to more senior levels to drive enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.

Key Responsibilities

• Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. 
• Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. 
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. 
• Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.

What We’re Looking For

• BS+ (M.S. or PhD preferred) in Computer Science, or a related field.
• 6+ years experience developing search relevance systems at scale in production or in high-impact research environments.
• Experience applying LLM to search relevance
• Experience in one or more of the following:  
• Query understanding
• NLP
• Text mining
• Recommendations
• Personalization
• Discovery
• Conversational AI 
• Strong understanding of computer science fundamentals.
• Contributions to well-used open-source projects. 

Why Join Us?
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

P-1408

The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. 

As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2025, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.

Key Responsibilities

• Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. 
• Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. 
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. 
• Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.

What We’re Looking For

• BS+ (M.S. or PhD preferred) in Computer Science, or a related field.
• 10+ years experience developing search relevance systems at scale in production or in high-impact research environments.
• Experience applying LLM to search relevance
• Experience in one or more of the following:  
• Query understanding
• NLP
• Text mining
• Recommendations
• Personalization
• Discovery
• Conversational AI 
• Strong understanding of computer science fundamentals.
• Contributions to well-used open-source projects. 

Why Join Us?
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

The Role:

Celonis is looking for a Senior ABAP Developer to design and implement modern data integration features to our platform. This is a full-time position located in Bengaluru, India and we are looking for team members that focus on writing maintainable and reliable code, work well independently, and thrive on collaboration and feedback as part of an agile development process.

The work you’ll do:

• Take ownership of features from design to implementation.
• Extend the capabilities of SAP integration.
• Contribute towards continual improvements in our development and release processes.
• Collaborate with our cloud development teams in integrating new features we develop in SAP with our cloud product.
• Research and drive new integration possibilities with SAP’s cloud products.

The qualifications you need:

• Have at least 5 years of experience as a professional ABAP Developer.
• High level of commitment and responsibility as well as enthusiasm for the challenges that arise during software development.
• Experience with object-oriented ABAP and GUI development.
• Experience working with both R3 and S4/HANA, with knowledge of the FI, MM, and SD modules as a plus.
• Have an overall understanding of SAP products, with a deep focus on integration options.
• Write clear, maintainable, and testable code.
• Excellent English skills.

Overview

You will join the Sailfin Accounts Receivable (AR) Team, a product engineering team working in the Finance and Accounting domain. The team designs, develops, deploys, and maintains a large-scale AR product used by global customers. Most of the team is based in India, including this role in Bangalore, and we work with a modern technology stack—AI/ML models, LLMs, multi-agent systems, cloud platforms, and automation frameworks. Our focus is on building secure, scalable, and intelligent solutions that transform financial operations.

The Role

We are looking for an Applied AI Engineer who can build production-ready predictive, generative, and agentic AI solutions for the Finance domain.

You will handle end-to-end development—from identifying use cases to deploying AI features in production. You must have experience building real-world, production-grade AI and agentic systems, not just POCs.

Responsibilities

• Partner with product owners and finance experts to identify strong AI use cases in Accounts Receivable.
• Design and build predictive models, generative AI features, and multi-agent systems tailored to business problems.
• Develop LLM-based copilots and autonomous agents, including human-in-loop flows, security guardrails, and audit trails.
• Work closely with software engineers and data scientists to embed AI features into the product.
• Build and maintain secure, scalable MLOps pipelines for training, deployment, and monitoring.
• Continuously evaluate and improve model performance and user impact.
• Stay current with the latest advancements in LLMs, NLP, multi-agent frameworks, and applied AI engineering.
• Set up and tailor AI demos as needed for customers, stakeholders, and internal teams.
• Contribute to a culture of innovation, collaboration, and continuous learning.

Required Experience

AI/ML/LLM Experience

• 7+ years of AI/ML engineering experience.
• 3+ years of hands-on experience with LLM-based solutions.
• 1+ year of experience building agentic systems (production-ready, not POCs).

Multi-Agent & Autonomous Systems

• Strong understanding of multi-agent architectures, memory systems, tool-use, orchestration, routing, and safety guardrails.
• Experience building autonomous or semi-autonomous agents with governance, logging, and human-in-loop flows.

Technical Skills

• Strong programming skills in Python (preferred), R, or Java.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Solid understanding of predictive modeling, NLP, ML algorithms, and statistics.
• Experience working in cloud environments (AWS/Azure/GCP) with model deployment and data pipelines.
• Knowledge of GitHub/GitLab, version control, and CI/CD practices.
• Basic understanding of web fundamentals (HTTP, JSON, authentication) and REST APIs to integrate AI/LLM solutions into the product.

General Skills

• Strong analytical and problem-solving skills.
• Ability to communicate complex concepts clearly to non-technical partners.
• Great collaboration and teamwork abilities.
• Curiosity and passion for innovation in AI and Finance.

You will be responsible for building a highly-scalable and extensible robust application. This position reports to the Engineering Manager.

Responsibilities:

• Align Sigmoid with key Client initiatives
  • Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
  • Ability to understand business requirements and tie them to technology solutions
  • Open to work from client location as per the demand of the project / customer.
• Facilitate in Technical Aspects
  • Develop and evolve highly scalable and fault-tolerant distributed components using Java technologies.
  • Excellent experience in Application development and support, integration development and quality assurance.
• Provide technical leadership and manage it day to day basis
  • Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
• Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid
  • Hands on coder with good understanding on enterprise level code.
  • Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems
  • Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment
• Culture
  • Must be a strategic thinker with the ability to think unconventional / out:of:box.
  • Analytical and solution driven orientation.
  • Raw intellect, talent and energy are critical.
  • Entrepreneurial and Agile : understands the demands of a private, high growth company.
  • Ability to be both a leader and hands on "doer".

Qualifications: -

• 3-5 year track record of relevant work experience and a computer Science or a related technical discipline is required
• Experience in development of Enterprise scale applications and capable in developing framework, design patterns etc. Should be able to understand and tackle technical challenges, and propose comprehensive solutions.
• Experience with functional and object-oriented programming, Java (Preferred) or Python is a must.
• Hand-On knowledge in Map Reduce, Hadoop, PySpark, Hbase and ElasticSearch.
• Development and support experience in Big Data domain
• Experience with database modelling and development, data mining and warehousing.
• Unit, Integration and User Acceptance Testing.
• Effective communication skills (both written and verbal)
• Ability to collaborate with a diverse set of engineers, data scientists and product managers
• Comfort in a fast-paced start-up environment.

Preferred Qualification:

• Experience in Agile methodology.
• Proficient with SQL and its variation among popular databases.
• Experience working with large, complex data sets from a variety of sources.