
Position Overview:
- Job Title: Functional Analyst - AMEA ERP COE
- Location: Bangalore, India
- Reporting To: Domain Manager - Procurement & Manufacturing AMEA ERP COE
Experience & Education:
- Total Experience: 6–8 years in SAP MM (ECC or S/4HANA)
- Education: Graduate (minimum 4 academic years)
- Domain Experience: 3+ years in Purchasing/Manufacturing preferred
- Implementation: 3 full-cycle MM implementations; S/4HANA exposure (Advanced STO, Embedded WM)
Implementation & Functional Skills:
- Enterprise Structure Mapping: Plants, Storage Locations, Purchasing Orgs
- P2P Processes: Subcontracting, Third-party procurement, Release strategies, Inventory management, Pricing and Account determination etc.
- Cross-Border (export/ import) & Intercompany Scenarios
- Interfaces: IDOCs, ALE
- ABAP Basics: Debugging knowledge
Work Culture & Responsibilities:
- Independence: Handle MM/WM projects and support calls autonomously
- Cultural Sensitivity: Support countries across Asia, Middle East, and Africa
Key Responsibilities:
- Conduct workshops and gather MM / WM operation requirements
- Deliver SAP solutions (Blueprints, Functional Specs, Testing, Training)
- Manage data migrations
- Ensure audit compliance
- Delivery enhancements and changes within timelines
Value Additions:
- Innovate MM/WM functionalities beyond the template
- Participate in ABB initiatives (CSI, Cost Saving, AppRun, etc.)

About Bristlecone
About
Similar jobs
Key Focus Areas:-
• Scalable SaaS and distributed systems
• Microservices architecture
• Backend performance and API optimization
• Cloud infrastructure and DevOps
• Multi-tenant platforms
• Reliability, scalability, and engineering governance
Main Responsibilities:-
• Design fault-tolerant backend systems
• Lead architecture decisions and technical planning
• Improve system performance, scalability, and deployment workflows
• Guide senior developers and enforce engineering standards
• Reduce technical debt and solve complex production issues
• Collaborate with DevOps on CI/CD, monitoring, and AWS infrastructure.
• You will work on complex, enterprise-scale systems including large SaaS platforms, distributed backend architectures, pricing intelligence engines, CRM solutions, 3D configuration ecosystems, route optimization modules, payment integrations, high-volume APIs, and modern cloud infrastructure.
• We are not looking for a “people manager who used to code.
Required Skills:-
• Backend: Node.js, TypeScript, REST APIs, event-driven systems
• Frontend Understanding: React.js architecture concepts
• Databases: PostgreSQL, MySQL, Redis, query optimization
• Cloud/DevOps: AWS, Docker, CI/CD, Kubernetes (preferred)
• System Design: Microservices, distributed systems, high-availability SaaS platforms
Preferred Experience:-
• SaaS product companies
• Enterprise CRM systems
• Large-scale production platforms
• Pricing engines, WebGL/3D systems, AI-assisted workflows
• U.S.-based product engineering environments
Experience Needed:-
• 10–15 years in software engineering
• 3+ years in architect/principal engineer/engineering lead roles
• Proven experience building scalable production systems
Ideal Candidate:-
A technically strong, ownership-driven architect who:
• Thinks strategically
• Stays calm under pressure
• Solves complex engineering problems
• Mentors teams effectively
• Builds long-term scalable systems rather than quick fixes
Strong Customer Success Manager / Implementation Manager / Post-Sales Enterprise Delivery Profiles
Mandatory (Experience 1): Must have 6+ years of relevant experience in customer-facing Customer Success / Account Management / Implementation roles.
Mandatory (Experience 2): Must have 3+ years of hands-on experience supporting enterprise customers in North America and/or Europe
Mandatory (Experience 3): Must have owned end-to-end enterprise customer implementations, including discovery, onboarding, integrations, go-live, and stabilization.
Mandatory (Experience 4): Must have experience working with CXO / VP / Director-level stakeholders as primary points of contact (POCs) for enterprise accounts.
Mandatory (Experience 5): Must have managed enterprise accounts with ACV / ARR of at least USD 40K+, and owned commercial outcomes such as renewals, expansions, upsells, and retention (NRR).
Mandatory (Experience 6): Must have worked in B2B SaaS companies with complex technical products
Mandatory (Experience 7): Must have a conceptual understanding of SaaS architecture and APIs, with the ability to troubleshoot workflows and coordinate closely with engineering and product teams (hands-on coding not required).
Mandatory (Compensation): Candidate's Current CTC should not be less than 27 LPA.
AI Agent Builder – Internal Functions and Data Platform Development Tools
About the Role:
We are seeking a forward-thinking AI Agent Builder to lead the design, development, and deployment, and usage reporting of Microsoft Copilot and other AI-powered agents across our data platform development tools and internal business functions. This role will be instrumental in driving automation, improving onboarding, and enhancing operational efficiency through intelligent, context-aware assistants.
This role is central to our GenAI transformation strategy. You will help shape the future of how our teams interact with data, reduce administrative burden, and unlock new efficiencies across the organization. Your work will directly contribute to our “Art of the Possible” initiative—demonstrating tangible business value through AI.
You Will:
• Copilot Agent Development: Use Microsoft Copilot Studio and Agent Builder to create, test, and deploy AI agents that automate workflows, answer queries, and support internal teams.
• Data Engineering Enablement: Build agents that assist with data connector scaffolding, pipeline generation, and onboarding support for engineers.
• Knowledge Base Integration: Curate and integrate documentation (e.g., ERDs, connector specs) into Copilot-accessible repositories (SharePoint, Confluence) to support contextual AI responses.
• Prompt Engineering: Design reusable prompt templates and conversational flows to streamline repeated tasks and improve agent usability.
• Tool Evaluation & Integration: Assess and integrate complementary AI tools (e.g., GitLab Duo, Databricks AI, Notebook LM) to extend Copilot capabilities.
• Cross-Functional Collaboration: Partner with product, delivery, PMO, and security teams to identify high-value use cases and scale successful agent implementations.
• Governance & Monitoring: Ensure agents align with Responsible AI principles, monitor performance, and iterate based on feedback and evolving business needs.
• Adoption and Usage Reporting: Use Microsoft Viva Insights and other tools to report on user adoption, usage and business value delivered.
What We're Looking For:
• Proven experience with Microsoft 365 Copilot, Copilot Studio, or similar AI platforms, ChatGPT, Claude, etc.
• Strong understanding of data engineering workflows, tools (e.g., Git, Databricks, Unity Catalog), and documentation practices.
• Familiarity with SharePoint, Confluence, and Microsoft Graph connectors.
• Experience in prompt engineering and conversational UX design.
• Ability to translate business needs into scalable AI solutions.
• Excellent communication and collaboration skills across technical and non-technical
Bonus Points:
• Experience with GitLab Duo, Notebook LM, or other AI developer tools.
• Background in enterprise data platforms, ETL pipelines, or internal business systems.
• Exposure to AI governance, security, and compliance frameworks.
• Prior work in a regulated industry (e.g., healthcare, finance) is a plus.
Golang (Go)
2) Software architecture, data structures, modern design
patterns, microservice and internet protocols
3) Database management experience using relational and/or NoSql database
technologies
4) Excellent Communication Skills
Around 3 years of Experience in GoLang
Responsibilities
- Ensure that established design standards are consistently and appropriately applied within design work
- Engage with product management, engineering, business stakeholders
- Develop and present documentation, user flows, annotated wireframes, and interactive prototypes
- Leverage user testing to make product improvements
- Hands-on designing and creative skills
- Willingness to learn and grow with the organisation
- Understand the brief from the team and come out with out-of-the-box ideas
- Plan and illustrate concepts by designing rough layouts of art and copy regarding arrangement, size, type, style, and related aesthetics.
Qualifications
- Bachelor's degree or equivalent in
- Proficient in visual design and wireframing tools like Figma
- Well-versed with computer skills in Photoshop or Illustrator and/or Dreamweaver
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
We are looking for coders, people who love to code, just like we do!
You should have minimum 10 years of work experience designing and developing high-end software products
You should have minimum 3 years of experience building AWS cloud native services using EC2, S3, ECS,
SQS, API Gateway, Lambda, Elastic, MongoDB, SNS, SQS etc
You should be highly proficient in Microservices, API, Python, React, JSON.
.
Selected candidates day-to-day responsibilities include:
1. Create and manage content based on current trends
2. Engage with audiences on our various social media platforms
3. Strategize authentic and impactful digital content and ensuring their role out within specified deadlines.
Required Experience and Qualifications
Social Media Marketing, Adobe Photoshop and Digital Marketing.
- Social media expertise (Instagram/Snapchat/Twitter)
- Good communication skills
- Ambition backed with a desire to succeed
- Elementary knowledge of photoshop, illustrator, etc.












