Marketing Manager - SaaS

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

Job Title : Lead – Endpoint Security & Tooling

Experience : 7+ Years

Location : Sector 32, Gurgaon

Work Mode : 5 Days Working (On-site/Hybrid)

Notice Period : Immediate to 15–20 Days

Role Overview :

We are looking for a skilled professional to Lead endpoint security operations, tooling, and architecture.

The role involves managing tools like Intune and Zscaler, developing secure endpoint policies, performing risk assessments, and driving continuous improvements in endpoint protection.

Mandatory Skills :

Microsoft Intune, Zscaler (ZIA/ZPA), EDR tools, Application Control, risk assessment, endpoint policy design, and strong knowledge of endpoint security architecture.

Key Responsibilities :

• Manage and optimize endpoint security tools (Zscaler, Intune, EDR, Application Control).
• Configure, maintain, and troubleshoot endpoint security infrastructure.
• Lead policy development, risk assessment, and architecture design for secure endpoints.
• Collaborate with IT and security teams to align tools and practices with compliance.
• Stay updated with evolving security threats, tools, and standards.

Preferred Certifications :

CISSP, CEH, CESP (optional)

Resource 1: Manager Finance

Job Description:

• Accounts and Finance:

Managing & leading the team of Finance & accounts and driving them towards the business goal of the company including Internal Control over Financial reporting, documenting, fixed assets management and complete working capital management.

• Treasury Management

Coordinating & liaisoning with the banks, renewal of working capital limits with proper documentation. Submitting the monthly/qtrly/annual statements with Banks. Involve in managing the liquidity, understanding the risk and return analysis of investment management

• Direct and Indirect Tax Compliance
  • Liaising with consultants/Auditors with respect to Bookkeeping, compliances/Statutory and Internal Audits
  • Ensure non payroll compliances under various statutory laws applicable
  • Managing Audits of under different statutes (GST/Sales Tax, Companies House)
• MIS & Analytics

Involve in preparing MIS reports by analyzing the P &L, Balance sheet and various financial reports for the understanding of top management. Involve in gathering various information and analyzing the financial data for decision making.

Desired Candidate Profile:

• Chartered Accountant with 3-5 years of Industry Experience
• Must have good communication skills.
• Should have good knowledge of MS office and tally

Location: Pune

We are looking for a technical lead to join us at Elisar. As tech lead (DevOps), you will be responsible forTechnical leadership of the Elisar software development team.

Interface with product management during product discovery and establish product road maps

Contribute to back end development at Elisar

Communicating and collaborating with others

Develop and manage dev team's work schedules to meet expected delivery commitments

Assess and address software development risk for products being developed a Elisar

Establish a CI/CD pipeline at Elisar

Ensure continued compliance with ISO 62304 requirements for the development of software

Play an integral part of the product risk management team at Elisar

Should have Experience with Angular JS