11+ SPM Jobs in Coimbatore | SPM Job openings in Coimbatore

• 5+ years of hands-on ServiceNow development experience.
• 3+ years of dedicated, in-depth experience implementing, configuring, and customizing the ServiceNow SPM/ITBM suite.
• Technical Certifications:
• Must-Have: ServiceNow Certified Implementation Specialist – Project Portfolio Management (CIS-PPM).
• Strongly Required: ServiceNow Certified Application Developer (CAD).
• SPM Module Expertise (Hands-On):
• Demonstrated mastery of the PPM suite (Demand, Project, Portfolio, Resource Management).
• Proven experience with Application Portfolio Management (APM).
• Solid understanding and configuration experience with Agile Development 2.0 and its integration points.
• Platform Skills:
• Expert proficiency in ServiceNow scripting (both client-side and server-side).
• Strong knowledge of the ServiceNow platform architecture, including the Common Service Data Model (CSDM).
• Experience building and consuming REST/SOAP web services.
• Analytical Skills:
• Excellent problem-solving skills with the ability to analyze complex business requirements and translate them into technical designs.
• Strong communication and interpersonal skills, with the ability to effectively collaborate with both technical teams and business leaders.

Preferred Qualifications:

• BS degree in Computer Science or Engineering or equivalent experience

Roles & Responsibilities

Roles and Responsibilities:

• SPM Module Implementation: Lead the design, configuration, development, and implementation of core SPM applications, including:
• Project Portfolio Management (PPM): Including Ideation, Demand, Project, Program, and Portfolio modules.
• Application Portfolio Management (APM): For application inventory, rationalization, and technology portfolio management.
• Agile Development 2.0: Configure and manage stories, epics, themes, and sprints, ensuring seamless integration with PPM.
• Resource Management: Develop and configure solutions for capacity planning, resource allocation, and time management.
• Financial Management: Assist in configuring cost models, budgets, and financial reporting related to projects and portfolios.
• Custom Development & Platform Expertise:
• Develop high-quality, scalable, and maintainable custom solutions using ServiceNow platform capabilities, including Business Rules, Client Scripts, UI Actions, UI Policies, and Flow Designer/Workflows.
• Utilize advanced scripting skills in JavaScript, Glide APIs (GlideRecord, GlideAjax), and HTML/CSS to deliver custom functionality.
• Serve as the technical SME for the SPM module, providing guidance on best practices and platform limitations.
• Integrations:
• Design and implement integrations between ServiceNow SPM and other enterprise systems (e.g., Jira, Azure DevOps, financial systems) using IntegrationHub, REST, and SOAP APIs.
• Stakeholder Collaboration & Support:
• Collaborate with business analysts and stakeholders to gather requirements, create technical designs, and deliver solutions that meet business needs.
• Provide advanced support for SPM applications, troubleshoot complex issues, and perform root cause analysis.
• Reporting and Analytics:
• Create sophisticated reports, Performance Analytics dashboards, and custom visualizations to provide stakeholders with actionable insights into portfolio health, project status, and resource utilization.
• Governance and Maintenance:
• Manage application upgrades, patching, and release cycles for the SPM suite.
• Ensure adherence to coding standards, development best practices, and effective use of update sets for deployments.

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

Job Title:

Content Senior Writer

Team:

Digital Marketing

Job Summary:

We are seeking an experienced Content Senior Writer to create high-quality, engaging content for our digital marketing campaigns.

Key Responsibilities:

1. Develop compelling content for various digital channels (social media, blogs, email, etc.).

2. Collaborate with the digital marketing team to align content with campaign goals.

3. Conduct research to stay up-to-date on industry trends and topics.

4. Write, edit, and proofread content to ensure high-quality output.

5. Optimize content for SEO and user engagement.

Requirements:

1. Proven experience in content writing, digital marketing, or a related field.

2. Excellent writing, editing, and proofreading skills.

3. Strong understanding of digital marketing channels and content strategies.

4. Ability to work collaboratively with cross-functional teams.

Nice to Have:

1. Experience with content management systems (CMS).

2. Knowledge of SEO best practices.

3. Familiarity with analytics tools.

What We Offer:

1. Competitive salary and benefits.

2. Opportunity to work with a dynamic digital marketing team.

3. Collaborative and creative work environment.

If you are a skilled writer passionate about digital marketing, we'd love to hear from you!

The Web 3 & Blockchain Innovation Lab plays a pivotal role in leading the lab strategic vision and

operational excellence, fostering a culture of innovation and learning by doing among students.

This individual is responsible for setting the lab strategic direction, managing a team of stream

leaders, and ensuring the lab success in bridging the gap between academia and industry. As a

thought leader and brand ambassador, the Head of the lab promotes the lab focus areas both

internally and externally, embodying the qualities of leadership and innovation that inspire

students and staff alike.

Key Responsibilities:

* Vision and Strategy:

* Develop and communicate a clear vision for the Innovation Labs, aligning with

* the institution strategic objectives.

* Set strategic goals for the lab, including defining key areas of focus, innovation

    strategies, and research priorities.

* Ensure the lab activities contribute to the broader academic and research

   missions of the institution.

Innovation Lab - Industry Interface:

* Build and maintain strong relationships with industry partners, facilitating collaborations that enhance the lab's research and innovation projects.

* Serve as a key liaison between the lab and academic departments, promoting interdisciplinary industry relevant research and learning opportunities.

* Lead initiatives to secure funding, sponsorship, and partnerships that support the lab's activities and growth.

* Brand Ambassador and Thought Leadership:

* Act as a brand ambassador and thought leader, representing the Innovation Labs at conferences, seminars, and public forums.

* Promote the lab's achievements and projects through various channels, enhancing its reputation and visibility.

* Foster a network of alumni, industry leaders, and academic peers to support and engage with the lab's work.

Mentorship and Role Modeling:

* Serve as a mentor and role model for students and mentors, inspiring them to pursue innovation and excellence.

* Encourage the development of leadership skills among lab members, particularly stream leaders and emerging talents.

* Support a learning environment that values diversity, inclusivity, and personal growth.

Skills and Qualifications :

* Advanced degree in a relevant field (e.g., Engineering, Computer Science, Business Administration) or equivalent experience in innovation management.

* Proven leadership experience in managing research or innovation labs, particularly in an academic or similar setting.

* Deep technical expertise in multiple blockchain platforms, smart contracts, DeFi & dApps, Web 3 libraries/frameworks and cryptography. Should be able to demonstrate a deep understanding of the benefits decentralization.

* Strong strategic thinking and planning skills, with the ability to translate vision into actionable plans.

* Excellent relationship-building skills, with experience in academia-industry partnerships.

* Demonstrated success in securing funding, sponsorships, or partnerships.

* Exceptional communication and public speaking skills, capable of engaging a wide range of audiences.

* Deep understanding of the latest trends and technologies in areas relevant to the lab's focus..

The Design Engineer is responsible for planning, developing, and improving product designs by converting concepts and requirements into detailed engineering drawings and specifications. The role involves collaboration with production, quality, and project teams to ensure designs are functional, cost-effective, and manufacturable.

Key Responsibilities:

• Create 2D and 3D designs using CAD software such as AutoCAD, SolidWorks, CATIA, or Creo
• Prepare detailed drawings, BOMs, and technical documentation
• Analyze design feasibility, materials, tolerances, and manufacturing methods
• Coordinate with production, quality, and vendors to resolve design-related issues
• Modify existing designs to improve performance, quality, or cost
• Ensure compliance with industry standards and customer specifications
• Support prototyping, testing, and validation activities
• Participate in design reviews and continuous improvement initiatives

About the Role

We’re looking for a Data Engineer who can turn messy, unstructured information into clean, usable insights. You’ll be building crawlers, integrating APIs, and setting up data flows that power our analytics and AI layers. If you love data plumbing as much as data puzzles — this role is for you.

Responsibilities

- Build and maintain Python-based data pipelines, crawlers, and integrations with 3rd-party APIs.

Perform brute-force analytics and exploratory data work on crawled datasets to surface trends and anomalies.

- Develop and maintain ETL workflows — from raw ingestion to clean, structured outputs.

- Collaborate with product and ML teams to make data discoverable, queryable, and actionable.

- Optimize data collection for performance, reliability, and scalability.

Requirements

- Strong proficiency in Python and Jupyter notebooks.

- Experience building web crawlers / scrapers and integrating with REST / GraphQL APIs.

- Solid understanding of data structures and algorithms (DSA).

- Comfort with quick, hands-on analytics — slicing and validating data directly.

Good to Have

- Experience with schema design and database modeling.

- Exposure to both SQL and NoSQL databases; familiarity with vector databases is a plus.

- Knowledge of data orchestration tools (Dagster preferred).

- Understanding of data lifecycle management — from raw to enriched layers.

Why Join Us

We’re not offering employment — we’re offering ownership.

If you’re here for a job, this isn’t your place.

We’re building the data spine of a new-age supply chain intelligence platform — and we need people who can crush constraints, move fast, and make impossible things work.

You’ll have room to think, build, break, and reinvent — not follow.

If you thrive in chaos and create clarity, you’ll fit right in.

Screening Challenge

Before we schedule a call, we have an exciting challenge for you. Please go through the link below and submit your solution to us with the Subject line: SUB: [Role] [Full Name]

Link - https://dub.sh/slooze-takehome

We are looking for a dedicated and dynamic individual to join our Mathematics Department as a Tutor/Assistant Professor. The ideal candidate will have a strong academic background in mathematics and a passion for teaching, mentoring, and fostering academic excellence among students.

Deliver engaging lectures, seminars, and practical sessions in the assigned subject area. Develop course materials, lesson plans, and assessments aligned with curriculum standards. Mentor and guide students in academic projects, internships, and career planning.

Conduct internal assessments, evaluate student performance, and provide constructive feedback.

• Overall 3+  years of software development experience in building web-based and highly scalable applications. 

• Excellent understanding of core computer science concepts like algorithms, data structure, system design, OOP, etc. 

• Deep knowledge and development expertise in React Native/ReactJS 

• Hands-on coding experience in developing multi platform (iOS & Android) mobile applications with REST APIs.

• Experience working as a Full stack developer is a big plus.

• Experience in building single page applications or Javascript heavy front end applications in ReactJS is a big plus.

• Experience working in cloud environments with CI/CD and infrastructure automation is a big plus.

• Experience working in an agile team with software engineering practices like automated testing, test-driven-development, continuous integration, etc is a big plus. 

• Strong oral and written communication.