Qureos Mentor

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 
 Salary range: Rs 5500000 - Rs 7500000 (ie INR 55-75 LPA)
 
 
 
 Min Experience: 9 years
 
 
 Location: Gurgaon, NCR
 
 
 JobType: full-time
 
 
 As an
 
 Engineering Manager (Backend)
 
 , you will play a key role in building, mentoring, and scaling a high-performing backend engineering team that delivers reliable and scalable systems. This role requires a balance of technical depth, leadership, and people management&mdash;empowering engineers to grow while ensuring the backend architecture meets evolving business needs. You will collaborate closely with product and design teams to drive alignment between technical execution and strategic business goals.
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Team Leadership &amp; Development: Build and lead a high-performing backend engineering team that thrives on collaboration and innovation. Support career growth through mentoring, coaching, and feedback
 </li>
 <li>
 Technical Excellence: Drive best practices in software development, scalability, and system design. Be hands-on when needed&mdash;reviewing code, refining architecture, and guiding implementation
 </li>
 <li>
 Strategic Collaboration: Partner with product and design teams to translate business goals into technical solutions that align with company priorities
 </li>
 <li>
 Operational Ownership: Oversee the development and maintenance of high-quality, scalable, and secure backend systems
 </li>
 <li>
 Continuous Improvement: Foster a culture of learning and innovation, encouraging process improvements and modern development methodologies
 </li>
 <li>
 Delivery Management: Ensure timely delivery of features and improvements with a focus on performance, scalability, and reliability
 
 
 </li>
 </ul>
 
 What Makes You a Great Fit:
 
 
 
 <ul>
 <li>
 Experience: 9+ years in software engineering, including at least 2 years in a managerial or leadership capacity. Proven success delivering scalable backend systems
 </li>
 <li>
 Technical Mastery: Strong background in backend technologies, frameworks, and distributed system design. Hands-on experience in developing high-performance applications
 </li>
 <li>
 Leadership &amp; Mentorship: Demonstrated ability to inspire, mentor, and grow engineering talent while fostering a positive, collaborative culture
 </li>
 <li>
 Strategic Thinking: Skilled at aligning engineering priorities with business objectives and driving measurable outcomes
 </li>
 <li>
 Communication: Excellent interpersonal and communication skills, capable of working effectively with technical and non-technical stakeholders
 </li>
 <li>
 Mindset: Passion for continuous improvement, operational excellence, and building systems that scale
 </li>
 <li>
 Collaboration: Experience working cross-functionally with product and design teams to deliver impactful solutions
 </li>
 </ul>
</div>

Engineering Manager

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 
 Salary range: Rs 500000 - Rs 600000 (ie INR 5-6 LPA)
 
 
 
 Location: Pune
 
 
 JobType: full-time
 
 
 We are dedicated to driving a sustainable future by providing efficient, affordable, and eco-friendly solar energy solutions across residential, commercial, and industrial sectors.
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Identify and generate leads across residential, commercial, and industrial segments.
 </li>
 <li>
 Conduct client meetings to assess energy requirements and present tailored solar solutions.
 </li>
 <li>
 Perform site visits and surveys to gather necessary technical data.
 </li>
 <li>
 Collaborate with design and engineering teams to develop technical proposals, BOQs, and quotations.
 </li>
 <li>
 Guide clients with technical insights and provide system performance estimates.
 </li>
 <li>
 Manage and track sales pipelines through CRM tools, ensuring timely follow-ups and conversions.
 </li>
 <li>
 Oversee the complete sales cycle&mdash;from inquiry to installation and post-sales support.
 </li>
 <li>
 Stay informed on industry trends, solar technologies, and competitor activities.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Electrical Engineering, Energy Studies, or a related field.
 </li>
 <li>
 2-3 years of experience in solar or renewable energy sales preferred.
 </li>
 <li>
 Strong understanding of solar PV systems, net metering, and basic system design.
 </li>
 <li>
 Excellent communication, negotiation, and relationship management skills.
 </li>
 <li>
 Ability to work independently, with effective time management and organizational skills.
 </li>
 <li>
 Proficiency in MS Office, CRM platforms, and basic solar design tools
 </li>
 </ul>
</div>

Solar Sales Engineer

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 
 Salary range: Rs 2100000 - Rs 7500000 (ie INR 21-75 LPA)
 
 
 
 Min Experience: 3 years
 
 
 Location: Chandigarh, India
 
 
 JobType: full-time
 
 
 We are seeking an innovative and strategic
 
 Product Manager
 
 to drive the vision, strategy, and execution of next-generation AI-driven FinTech products. This role sits at the intersection of technology, data, and business growth &mdash; ideal for a product leader who thrives on solving complex financial problems using artificial intelligence, automation, and user-centric design.
 
 
 As a
 
 Product Manager
 
 , you'll collaborate with engineering, data science, and business teams to define and deliver scalable AI-powered financial solutions. You'll play a pivotal role in shaping product direction, ensuring alignment with market needs, and driving measurable product growth.
 
 
 
 
 Requirements
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Product Strategy &amp; Vision: Define and execute the long-term product roadmap for AI-based FinTech offerings. Align the product vision with business goals and emerging market opportunities.
 </li>
 <li>
 Customer &amp; Market Insight: Conduct in-depth research on user behavior, industry trends, and competitive products. Translate insights into data-backed product strategies that enhance customer experience and retention.
 </li>
 <li>
 AI-Driven Innovation: Partner with data scientists and AI engineers to conceptualize, design, and deploy intelligent features &mdash; such as predictive analytics, automation, risk assessment models, and personalization engines.
 </li>
 <li>
 End-to-End Product Ownership: Take full ownership of the product lifecycle &mdash; from ideation and requirements gathering to design, development, launch, and post-launch optimization.
 </li>
 <li>
 Cross-Functional Collaboration: Work closely with engineering, design, marketing, and operations teams to ensure smooth execution, clear communication, and timely delivery of product milestones.
 </li>
 <li>
 Performance Tracking &amp; Growth: Define and monitor key product metrics (KPIs, OKRs). Use data-driven insights to refine product strategies and accelerate user acquisition, engagement, and revenue growth.
 </li>
 <li>
 Stakeholder Management: Collaborate with internal and external stakeholders, including executives, partners, and clients, to align on priorities and communicate product vision effectively.
 </li>
 <li>
 Compliance &amp; Risk: Ensure that product development adheres to financial regulations, data privacy standards, and security best practices in the FinTech domain.
 
 
 </li>
 </ul>
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 3-10 years of product management experience, preferably in FinTech, AI, or data-driven SaaS environments.
 </li>
 <li>
 Strong understanding of financial products, digital payments, lending platforms, wealth management, or AI-led financial automation.
 </li>
 <li>
 Proven track record as a Product Manager, Product Owner, or in a product growth capacity, delivering high-impact solutions.
 </li>
 <li>
 Solid understanding of AI/ML concepts, data pipelines, and analytics tools.
 </li>
 <li>
 Ability to balance strategic vision with hands-on execution in a fast-paced, evolving environment.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Experience collaborating with engineering, data, and design teams to deliver innovative, user-centric products.
 </li>
 <li>
 MBA, Engineering, or relevant technical degree preferred
 </li>
 </ul>
</div>

Product Manager

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 Min Experience: 4 years
 
 
 Location: Pune
 
 
 JobType: full-time
 
 
 We are seeking a results-driven
 
 Marketing Manager
 
 to lead strategic marketing initiatives, brand development, digital campaigns, and revenue-focused lead generation. The ideal candidate will have a strong background in
 
 B2B marketing
 
 and a proven track record of driving business growth through integrated marketing strategies across digital, social, and offline channels.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Strategic Marketing &amp; Planning
 </li>
 <li>
 Develop and execute annual and quarterly marketing plans aligned with business objectives and revenue targets.
 </li>
 <li>
 Translate strategic goals into actionable marketing initiatives across multiple platforms.
 </li>
 <li>
 Collaborate closely with Sales and Business Development teams to ensure cohesive go-to-market execution.
 </li>
 <li>
 Brand Management
 </li>
 <li>
 Build and strengthen a consistent brand identity across all marketing and communication channels.
 </li>
 <li>
 Maintain brand voice, tone, and messaging aligned with company values and audience expectations.
 </li>
 <li>
 Lead brand awareness initiatives and partnerships to reinforce market positioning in the industrial and technology domains.
 </li>
 <li>
 Digital &amp; Social Media Management
 </li>
 <li>
 Oversee digital channels with a strong focus on B2B lead generation.
 </li>
 <li>
 Design and execute targeted outreach campaigns for key decision-makers (CXOs, EHS Heads, Supply Chain Directors, Procurement Leaders).
 </li>
 <li>
 Manage paid advertising campaigns (LinkedIn Ads, Google Ads, Meta Ads) to attract and convert high-quality leads.
 </li>
 <li>
 Track performance metrics, conversion rates, and ROI; prepare monthly reports for leadership review.
 </li>
 <li>
 Lead Generation &amp; Revenue Growth
 </li>
 <li>
 Create and manage LinkedIn-based lead generation funnels targeting high-value B2B clients.
 </li>
 <li>
 Collaborate with the sales team to convert MQLs (Marketing Qualified Leads) into SQLs (Sales Qualified Leads) and revenue opportunities.
 </li>
 <li>
 Maintain dashboards to monitor lead flow, campaign efficiency, and revenue contribution.
 </li>
 <li>
 Drive measurable business outcomes through nurturing, remarketing, and relationship-building campaigns.
 </li>
 <li>
 Events, Expos &amp; Exhibitions
 </li>
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 Plan and execute company participation in major trade shows, industry expos, and conferences.
 </li>
 <li>
 Manage event logistics, booth design, promotional material, and pre-/post-event engagement.
 </li>
 <li>
 Represent the organization at select events to foster relationships with key stakeholders.
 </li>
 <li>
 Team Leadership &amp; Performance Management
 </li>
 <li>
 Lead and mentor marketing teams including digital, content, and design specialists.
 </li>
 <li>
 Set clear KPIs, ensure timely execution of marketing plans, and foster a culture of accountability and innovation.
 </li>
 <li>
 Encourage creativity, collaboration, and continuous improvement within the team.
 </li>
 <li>
 Content &amp; Collateral Development
 </li>
 <li>
 Supervise the creation of marketing collateral such as brochures, presentations, digital assets, and video content.
 </li>
 <li>
 Ensure all content clearly communicates the organization's value proposition to both technical and managerial audiences.
 </li>
 <li>
 Maintain a balance between technical accuracy and marketing clarity.
 </li>
 <li>
 Market Research &amp; Competitive Intelligence
 </li>
 <li>
 Continuously monitor industry trends, competitor strategies, and emerging market opportunities.
 </li>
 <li>
 Use insights to refine marketing strategies, identify new geographies, and expand target segments.
 </li>
 <li>
 Provide data-backed recommendations for marketing and lead acquisition improvements.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Marketing, Business Administration, or a related field.
 </li>
 <li>
 5-7 years of experience in B2B marketing, preferably in industrial technology, SaaS, or engineering sectors.
 </li>
 <li>
 Proven success in LinkedIn-based lead generation and revenue-driven marketing campaigns.
 </li>
 <li>
 Proficiency with tools such as LinkedIn Sales Navigator, HubSpot, Zoho CRM, Google Analytics, etc.
 </li>
 <li>
 Experience managing cross-functional teams and marketing budgets.
 </li>
 <li>
 Strong leadership, communication, and analytical skills.
 
 
 </li>
 </ul>
 
 
 Key Competencies
 
 
 
 
 <ul>
 <li>
 Strategic and analytical mindset with a focus on measurable outcomes.
 </li>
 <li>
 Deep understanding of the B2B buyer journey and executive-level engagement.
 </li>
 <li>
 Excellent project management and multitasking abilities.
 </li>
 <li>
 Ability to convert insights into actionable marketing improvements.
 </li>
 <li>
 Confident and persuasive communicator with a growth-oriented approach.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 B2B Marketing | GTM Strategy | Brand Management | Digital Marketing | LinkedIn Advertising | Google Ads | Lead Generation (MQL to SQL) | Event &amp; Expo Management | Social Media Campaigns | Content Strategy | Team Leadership | ATL &amp; BTL Marketing
</div>

Marketing Manager

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 Min Experience: 3 years
 
 
 Location: Navi Mumbai
 
 
 JobType : full-time
 
 
 We are seeking a highly skilled
 
 Data Scientist - AI
 
 to design and deploy advanced deep learning systems that uncover actionable insights from diverse data sources, including text, imagery, and time-series datasets. You'll work at the intersection of research and production&mdash;building scalable AI pipelines, fine-tuning transformer models, and collaborating closely with quantitative researchers to turn machine learning outputs into meaningful business signals.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Research, design, and train deep learning models (LLMs, CNNs) to extract and identify pricing or predictive signals from multiple data types.
 </li>
 <li>
 Build and maintain end-to-end AI orchestration pipelines for data ingestion, feature extraction, model training, and real-time inference.
 </li>
 <li>
 Develop scalable MLOps workflows using AWS, Docker, CI/CD, and orchestration tools for automated model deployment, monitoring, and version control.
 </li>
 <li>
 Fine-tune Hugging Face transformer models and integrate them into production-ready AI systems.
 </li>
 <li>
 Architect and manage data processing layers in Python and MongoDB to enable reproducible, high-performance experimentation.
 </li>
 <li>
 Collaborate with quantitative researchers to translate ML model outputs into actionable insights or trading signals.
 </li>
 <li>
 Implement evaluation frameworks to continuously monitor model performance, drift, and reliability.
 </li>
 <li>
 Drive innovation by experimenting with multimodal, self-supervised, and reinforcement learning techniques to enhance predictive capabilities.
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 3-6 years of experience in data science, applied AI, or ML research (exceptional candidates with less experience are encouraged to apply).
 </li>
 <li>
 Strong proficiency in Python, with expertise in PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience with transformer and CNN architectures.
 </li>
 <li>
 Familiarity with Hugging Face, AWS SageMaker, or similar ML orchestration platforms.
 </li>
 <li>
 Proven experience in MLOps &mdash; building, deploying, and maintaining production-grade ML pipelines.
 </li>
 <li>
 Working knowledge of data engineering tools (e.g., MongoDB, Pandas, NumPy, Airflow, Prefect).
 </li>
 <li>
 Solid mathematical foundation in probability, statistics, and optimization.
 </li>
 <li>
 Excellent software engineering practices &mdash; clean, modular code with Git-based version control and CI/CD.
 </li>
 <li>
 A strong sense of curiosity, experimentation, and drive to apply AI solutions to real-world problems.
 </li>
 <li>
 Must be based in or open to relocating to Navi Mumbai.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 Data Science | Deep Learning | Machine Learning | PyTorch | TensorFlow | Hugging Face | AWS | MLOps | NLP | Computer Vision | Model Deployment | Data Engineering
</div>

Data Scientist - AI

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 
 Salary range: Rs 1500000 - Rs 2000000 (ie INR 15-20 LPA)
 
 
 
 Min Experience: 5 years
 
 
 Location: NCR, NOIDA, Andhra Pradesh, Telangana
 
 
 JobType: full-time
 
 
 We are seeking a skilled
 
 Data Scientist
 
 with expertise in
 
 Generative AI
 
 and
 
 Large Language Models (LLMs)
 
 to design, develop, and deploy advanced AI-driven solutions. The ideal candidate will combine strong technical depth with innovative problem-solving skills to create scalable, production-ready AI systems that address complex enterprise challenges.
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and implement cutting-edge AI solutions leveraging Generative AI and LLM-based architectures.
 </li>
 <li>
 Develop and optimize AI models focused on generative architectures for enterprise applications.
 </li>
 <li>
 Integrate APIs and libraries such as Azure OpenAI GPT models and Hugging Face Transformers.
 </li>
 <li>
 Build and manage end-to-end AI pipelines &mdash; from data ingestion and preprocessing to model training, evaluation, and deployment.
 </li>
 <li>
 Utilize vector databases (e.g., Redis) and NoSQL databases for large-scale data management and generative outputs.
 </li>
 <li>
 Implement similarity search algorithms and retrieval-based techniques for efficient knowledge access.
 </li>
 <li>
 Curate, clean, and preprocess large datasets for generative AI applications.
 </li>
 <li>
 Research and experiment with transfer learning, domain adaptation, and model compression techniques.
 </li>
 <li>
 Collaborate with cross-functional stakeholders to identify opportunities for AI adoption and deliver business impact.
 </li>
 <li>
 Work with domain experts to customize Generative AI solutions tailored to specific business needs.
 </li>
 <li>
 Establish robust evaluation metrics and methodologies to assess generative model performance and quality.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical standards in all AI projects.
 </li>
 <li>
 Stay current with emerging trends and advancements in Generative AI and LLM research.
 
 
 </li>
 </ul>
 
 Required Skills:
 
 
 
 <ul>
 <li>
 B.E./M.Tech degree in Data Science, Computer Science, or a related field.
 </li>
 <li>
 Minimum 3 years of experience in data analysis, machine learning, or AI model development.
 </li>
 <li>
 Strong proficiency in Python or R for data analysis and ML model building.
 </li>
 <li>
 Solid understanding of Natural Language Processing (NLP) concepts and pipelines.
 </li>
 <li>
 Hands-on experience training and deploying machine learning or LLM-based models.
 </li>
 <li>
 Familiarity with cloud platforms such as Azure, AWS, or GCP.
 </li>
 <li>
 Understanding of MLOps principles for continuous deployment and monitoring.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 
 
 </li>
 </ul>
 
 Preferred (Bonus) Skills:
 
 
 
 <ul>
 <li>
 Experience with distributed computing frameworks (e.g., Apache Spark).
 </li>
 <li>
 Working knowledge of SQL and NoSQL databases.
 </li>
 <li>
 Hands-on experience with Redis, Hugging Face Transformers, and RAG (Retrieval-Augmented Generation) systems.
 </li>
 <li>
 Research background in transfer learning, domain adaptation, or model compression.
 
 
 </li>
 </ul>
 
 Skills:
 
 
 
 Generative AI | LLMs | NLP | Python | Hugging Face | Azure OpenAI | MLOps | Redis | RAG | Data Science | Machine Learning
</div>

Data Scientist

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 Min Experience: 3 years
 
 
 Location: Bengaluru
 
 
 JobType: full-time
 
 
 We are seeking a detail-oriented and analytical
 
 Business Analyst
 
 with hands-on experience in
 
 Fleet Management systems
 
 and a strong understanding of
 
 Software Development Life Cycle (SDLC)
 
 and
 
 Agile methodologies
 
 . The ideal candidate will act as a bridge between business stakeholders and technical teams, ensuring that business requirements are accurately captured, clearly documented, and efficiently translated into functional solutions that enhance operational efficiency and business outcomes.
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Business Requirement Gathering: Collaborate with business stakeholders, product owners, and cross-functional teams to elicit, analyze, and document business and functional requirements related to fleet management operations.
 </li>
 <li>
 Process Analysis &amp; Optimization: Evaluate existing processes and workflows within fleet operations to identify inefficiencies, recommend improvements, and implement solutions to streamline performance.
 </li>
 <li>
 Fleet Management Expertise: Understand the operational, maintenance, and compliance aspects of fleet management systems, including vehicle tracking, asset utilization, fuel management, and preventive maintenance planning.
 </li>
 <li>
 Documentation &amp; Reporting: Develop clear and comprehensive business requirement documents (BRDs), functional specifications, user stories, and acceptance criteria for development teams. Maintain traceability of requirements throughout the SDLC.
 </li>
 <li>
 Stakeholder Collaboration: Work closely with internal and external stakeholders&mdash;including business users, developers, and QA teams&mdash;to ensure business needs are fully understood and solutions are aligned with organizational goals.
 </li>
 <li>
 Agile Execution: Participate in Agile ceremonies such as sprint planning, daily stand-ups, reviews, and retrospectives. Support the product backlog by prioritizing features, defining user stories, and ensuring readiness for development.
 </li>
 <li>
 Testing &amp; Validation: Support UAT (User Acceptance Testing) by validating that solutions meet business requirements and quality standards. Identify gaps, track issues, and ensure successful deployment of enhancements.
 </li>
 <li>
 Data Analysis: Utilize data insights to support decision-making, monitor fleet performance metrics, and provide actionable recommendations to stakeholders.
 </li>
 <li>
 Continuous Improvement: Contribute to the ongoing development of best practices, templates, and tools for business analysis within the organization.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Business Administration, Information Technology, or a related field.
 </li>
 <li>
 3-6 years of experience as a Business Analyst, preferably within Fleet Management, Logistics, or Transportation domains.
 </li>
 <li>
 Strong understanding of SDLC and Agile methodologies (Scrum, Kanban).
 </li>
 <li>
 Proven experience in requirement elicitation, process mapping, gap analysis, and stakeholder management.
 </li>
 <li>
 Ability to translate business requirements into clear technical specifications and user stories.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 <li>
 Experience with tools such as JIRA, Confluence, MS Visio, or similar.
 </li>
 <li>
 Knowledge of fleet management software or telematics systems is a plus.
 
 
 </li>
 </ul>
 
 Preferred Attributes:
 
 
 
 <ul>
 <li>
 Certification in Business Analysis (CBAP, CCBA, or PMI-PBA) or Agile methodologies (CSM, SAFe, or equivalent).
 </li>
 <li>
 Strong attention to detail with the ability to manage multiple priorities and meet deadlines.
 </li>
 <li>
 A proactive mindset with a passion for improving systems and processes through data-driven insights
 </li>
 </ul>
</div>

Business Analyst

Join Weekday AI (YC W21) and explore 12   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.