
About the Role
As the Product Manager at CloudKeeper, you will lead the strategy, roadmap, and execution of our real-time Cloud usage optimization and recommendation platforms.
As we expand our portfolio and deepen capabilities across cost optimization, observability, automation, and cloud management, we are seeking a Product Manager who can drive the vision, roadmap, and execution for one or more products within the CloudKeeper Platform Suite such as Lens, Tuner, Commit, Gen AI and Check
You will work cross-functionally across engineering, data science, FinOps SME, go-to-market and customer success to drive product growth, adoption, and customer value.
Key Responsibilities
- Define the vision and product strategy for CloudKeeper Platform Suite, aligned with overall cloud cost & usage optimization goals and the broader CloudKeeper solutions.
- Own the product roadmap: prioritize features, enhancements, integrations, and user experience improvements
- Own end-to-end product lifecycle: concept → PRDs → UX/design → development → launch → iteration
- Work with UX/design to craft intuitive workflows for engineering/DevOps users, ensuring that insights embed into their flow of work
- Engage with customers (particularly engineering and FinOps teams) to gather feedback, identify pain points, and validate product direction.
- Drive annual planning, release cycles, and sprint delivery (Agile methodology) while ensuring high quality and timely launch of features.
- Ensure appropriate documentation, training materials, and enablement for internal teams and external customers.
Desired Qualifications
- Bachelor’s degree in Computer Science, Engineering, Business or related field (Master’s preferred).
- 5+ years of product management experience in SaaS, preferably in cloud infrastructure, FinOps, cloud cost optimisation, or dev tools.
- Experience in B2B / Enterprise SaaS product development is a must (B2C product experience will not be considered)
- Strong understanding of AWS or other public-cloud: you should know at least the major compute / storage / services / networking footprint and usage patterns.
- Proven ability to translate customer needs into product features, write product requirements (PRDs), and work with engineering teams on execution.
- Proficiency with product management, collaboration, and analytics tools (e.g., Jira, Confluence, Figma, Productboard, BI dashboards, PostHog)
Preferred
- Prior experience in cloud cost optimization, cost-management tools, or FinOps practices is a strong plus
- Exposure to FinOps platforms or cloud cost optimization tools (e.g., AWS Cost Explorer/CUR, CloudHealth or equivalents)
What You’ll Work On
- Lead development and launch of next-gen recommendation engine enhancements (e.g., smarter detection of idle/over-provisioned resources).
- Evolve CloudKeeper’s industry-leading Guaranteed Savings model and its underlying pricing, automation, and governance engines
- Design conversational, AI-powered experiences that guide engineers through optimization opportunities, troubleshooting, and architectural decisions
- Define and refine metrics around savings impact, recommendation adoption, user engagement, churn, and product-market fit.
- Explore spaces like multi-cloud optimization, FinOps governance frameworks, cloud budgeting & forecasting, or cloud-native developer tools.
- Identify gaps in the cloud management ecosystem and work with leadership to incubate entirely new product lines, from concept to MVP to full-scale launch
What We Offer
- The opportunity to own a high-impact product in the rapidly growing FinOps/cloud cost optimisation space.
- A collaborative, innovative environment with talented teams in engineering, data science, UX, and product.
- The chance to make a measurable difference: help customers reduce cloud cost while maintaining performance and accelerate their cloud usage optimisation journey.

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Role Overview
We are seeking a highly skilled Operations Research (OR) and Optimization Engineer to design and develop an intelligent crew rostering optimizer for rail operations. The role involves applying advanced optimization techniques—including metaheuristics and mathematical programming—to generate efficient, compliant, and cost-optimized crew schedules. The candidate will also develop production-grade Python code for the optimizer and expose it via APIs for integration with operational systems.
This role combines algorithm design, applied optimization, and production software development.
Key Responsibilities
Optimization Model Design & Development
- Design and implement optimization models for rail crew rostering, considering operational, regulatory, and contractual constraints.
- Apply appropriate optimization techniques such as:
- Mixed Integer Linear Programming (MILP)
- Constraint Programming (CP)
- Metaheuristics (Genetic Algorithm, Simulated Annealing, Tabu Search, Large Neighborhood Search, etc.)
- Hybrid OR + metaheuristic approaches for large-scale optimization
- Model constraints including:
- Duty time limits, rest rules, and labor regulations
- Crew qualifications, route familiarity, and skill requirements
- Shift continuity, fairness, and crew preferences
- Coverage requirements and operational robustness
- Develop objective functions to optimize for cost, utilization, fairness, robustness, and operational efficiency.
Algorithm Engineering & Performance Optimization
- Design scalable and efficient optimization algorithms capable of handling real-world rail network scale.
- Implement solution heuristics and decomposition strategies to improve performance.
- Perform benchmarking, tuning, and performance optimization.
Python Development & API Integration
- Develop modular, production-quality Python code for the optimization engine.
- Expose optimizer functionality via REST APIs (using FastAPI, Flask, or similar frameworks).
- Ensure clean architecture, modular design, and extensibility.
- Package and deploy optimization services for integration with enterprise systems.
Integration & Deployment
- Integrate optimizer with upstream data systems and downstream applications.
- Support deployment in cloud or on-prem environments.
- Ensure robustness, logging, monitoring, and error handling.
Validation & Continuous Improvement
- Validate optimization outputs with domain stakeholders.
- Improve algorithms based on real-world operational feedback.
- Document models, assumptions, and system architecture.
Required Qualifications
Education
- Master's or PhD in one of the following:
- Operations Research
- Industrial Engineering
- Computer Science (with optimization focus)
- Applied Mathematics
- Transportation Engineering
- Artificial Intelligence (with optimization focus)
Technical Skills
Optimization & Algorithms
Strong hands-on experience with:
- Operations Research and optimization modeling
- Metaheuristics such as:
- Genetic Algorithms
- Simulated Annealing
- Tabu Search
- Large Neighborhood Search
- Variable Neighborhood Search
- Mathematical programming techniques:
- MILP, LP, CP
Experience with optimization tools such as:
- OR-Tools
- Pyomo
- PuLP
- Gurobi / CPLEX / CBC
- OptaPlanner (optional)
• Planning, scheduling & coordinating appointments & meetings, providing reminders, maintaining & updating diary of daily commitments & weekly calendar on a proactive basis.
• Interacting with & rendering assistance to select HNI & VIP customers, coordinating certain critical Outdoor Catering & Party Orders, VIP reservations, etc.
• Receiving calls, taking messages, screening & prioritizing calls & mails.
• Taking down dictations & appropriately drafting data points & correspondences, proactively responding to queries received through calls/mails based on feedback & preferences conveyed by the Managing Director.
• Preparing, editing & compiling agendas, minutes, correspondences & presentations.
• Organizing & maintaining files, documents as well as other office records, both offline & online, preserving & safeguarding confidential data & documents in an efficient manner.
• Making travel arrangements (ticketing, hotel reservations, etc.) on behalf of the Managing Director & other senior executives, coordinating with outstation visitors & proactively looking after their boarding & lodging arrangements, based on preferences conveyed by the Managing Director.
• Undertaking primary as well as secondary research & accordingly, developing briefs, reports & presentations as per pre-determined timelines.
• Proactively observing & recording various discussions/conversations undertaken by the Managing Director from time to time & accordingly, framing action plans.
• Managing communication pertaining to projects, new launches as well as other such expansion & diversification undertakings that directly come under the purview of the Managing Director.
• Imparting induction & training to select employees hired for functions that are directly or indirectly associated to those of the Managing Director’s office.
• Coordinating with outstations suppliers & vendors (China, Italy, etc.) quotations, purchase orders, purchase/ delivery payments.
• Responding to various inquiries - internal as well as external, acting as a point of contact between the Managing Director & other employees, tracking the work plan allocated to certain employees by the Managing Director & monitoring timelines with regard to the same.
• Organizing & maintaining files, documents as well as other office records, both offline & online, preserving & safeguarding confidential data & documents in an efficient manner.
• Negotiating with various suppliers, vendors & contractors, receiving competitive quotations, making comparisons, making purchases of materials & supplies based on feedback received from the Managing Director.
• Spearheading all coordination pertaining to maintenance, upkeep & repair of corporate as well as outlet & store infrastructure (on a case to case basis), as per directions & preferences issued by the Managing Director from time to time.
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• Proactively observing & recording various discussions/conversations undertaken by the Managing Director from time to time & accordingly, framing action plans.
Strong Senior Full Stack Engineer profiles
Mandatory (Experience 1) – Must have 4+ years of hands-on full stack engineering experience (avoid frontend-heavy only profiles, backend heavy will work)
Mandatory (Experience 2) – Must have strong backend engineering experience using Python, including designing and owning APIs, services, and data models in production environments
Mandatory (Experience 3) – Must have strong frontend development experience using React (or equivalent), including component architecture, state management, and building production-grade user interfaces
Mandatory (Experience 4) – Must have end-to-end ownership experience, building and shipping features across the full stack (UI + API + database) without clear handoff boundaries
Mandatory (Experience 5) – Must have strong web fundamentals, including understanding of browser rendering, performance optimization, and accessibility best practices
Mandatory (Experience 6) – Must be able to demonstrate solving complex problems on both frontend and backend, clearly articulating trade-offs, decisions, and outcomes
Mandatory (Experience 7) – Must have solid experience with databases (SQL/NoSQL), including schema design, query optimization, and handling performance bottlenecks
Mandatory (Company) - Must have worked in product-based companies, (preferred early-stage startups with Seed to Series C/D with fast-paced shipping culture)
Mandatory (Education) - Strong CS fundamentals required (CS degree or equivalent). Candidates from Tier-1 institutes (IITs, BITS, IIITs) are preferred but not mandatory
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.
Roles and Responsibilities
Proficient with Swift, Objective C and Cocoa Touch.
Good knowledge in UI & Unit testing.
Good understanding and knowledge in OOPS concepts
Good knowledge in Protocol oriented programming
Good knowledge in SOLID Principles
Deep understanding of MVVM design pattern
Good Knowledge in RXswift Framework
Knowledge in Test Driven Development
Knowledge in continuous integration and continuous development
Responsibilities:
- Build and develop the project team to ensure maximum performance, providing purpose, direction, and motivation.
- Lead projects from requirements definition through deployment, identifying schedules, scopes, budget estimations, and project implementation plans, including risk mitigation.
- Coordinated internal and external resources, ensuring projects remain within scope, schedule, and defined budgets, in collaboration with project staff from various functional departments.
- Analyse project progress and, when necessary, adapt scope, timelines, and costs to ensure that the project team adheres to project requirements.
- Establish and maintain relationships with appropriate client stakeholders, providing day-to-day contact on project status and changes.
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- Develop and maintain partnerships with outside resources including third-party vendors and researchers.
- Monitor and assign resources appropriately to streamline project efficiency and maximise deliverable outputs.
- Report project outcomes and/or risks to the appropriate management channels as needed escalating issues as necessary based on project work plans.
Requirements:
- Bachelor's degree in computer science, business, or a related field.
- 4-11 years of project management and related experience.
- Project Management Professional (PMP) certification (completed).
- Proven ability to solve problems creatively.
- Strong familiarity with project management software tools, methodologies, and best practices.
- Experience seeing projects through the full life cycle.
- Excellent analytical skills.
- Strong interpersonal skills and extremely resourceful.
- Proven ability to complete projects according to outlined scope, and timeline.
Oddr is looking for a skilled backend engineer to help us build scalable multi-tenanted enterprise Cloud applications. The ideal candidate should be able to bring new ideas to the table and design and develop distributed microservices with a strong emphasis on security, resiliency, scalability, performance, and quality. The candidate should have a solid understanding of CI/CD concepts and familiarity with building deployment pipelines. The candidate should be a self-motivated team player and take pride in what they deliver.
The candidate should be interested in a long-term stable career to grow with our company. The candidate will need to work late night hours because of the geographic distribution of the team.
Requirements:
- Strong understanding of CI/CD concepts and experience building deployment pipelines
- Strong knowledge of working with a CI/CD automation server like Jenkins
- Experience working with Docker containers and Kubernetes
- Familiarity working with Azure tools and services
- Good working knowledge of .NET Core and C#
- Familiarity with Cloud development concepts
- Experience with API-driven development and developing RESTful APIs
- Ability to write clean, well-structured code with adequate test coverage, proper abstraction, and reusability
- Ability to work to tight deadlines, manage priorities, and take responsibility for delivering to time and quality requirements
- Excellent communication skills
- Excellent problem-solving skills
Minimum qualifications required:
- Bachelor's degree or relevant certification from a reputable institute
- 3-5 years of experience.












