Chief Risk Officer

Position : Senior IT Analyst – IAM & Office 365

Experience : 4 to 8 Years

Location : Gurgaon (Hybrid : 3 days office, 2 days WFH)

Notice Period : Immediate to 15–20 days (Buyout option available)

Communication : Excellent communication skills mandatory (client-facing role)

About the Role :

We're looking for a skilled IT Security professional with strong experience in Identity and Access Management (IAM) and Office 365 (O365/M365). The role involves securing access, managing user identities, and administering O365 services across a hybrid cloud environment.

Mandatory Skills :

O365/M365, Azure AD, IAM, Conditional Access, MFA, Defender for O365, RBAC, DLP, PowerShell, Strong Communication

Key Responsibilities :

• Manage Azure AD, Conditional Access, MFA, and RBAC policies.
• Administer O365 services – SharePoint, Teams, PowerApps.
• Configure Defender for O365, DLP policies, and compliance settings.
• Automate tasks using PowerShell, support user lifecycle processes.
• Handle access audits, incident response, and IAM/O365 tool upgrades.
• Collaborate with internal teams on security and operational enhancements.

Good to Have :

• Microsoft Certification (e.g., MS-102)
• Experience with Microsoft Graph API and SIEM log integration

Key Responsibilities

• Craft and execute digital marketing strategies across channels like SEO, PPC, email, social media, content, and paid media—aligned with business objectives.
• Analyze and optimize campaign performance using metrics-driven insights via tools like Google Analytics, adjusting approaches to maximize ROI.
• Manage cross-channel campaigns, coordinating with content creators, designers, and external agencies to ensure cohesive execution.
• Allocate and oversee budgets for campaigns, ensuring efficient use of resources to meet performance targets.
• Conduct market research, audience profiling, and competitive analysis to uncover new opportunities and inform messaging.
• Stay current with emerging trends, tools, and technologies in digital marketing to maintain innovative initiatives.
• Report insights to stakeholders—highlighting performance, identifying bottlenecks, and proposing strategic optimizations.

Qualifications & Skills

• Education: Bachelor’s degree in Marketing, Business, Communications, or related field. Certifications in digital marketing, SEO, SEM, or analytics are a plus.
• Experience: Typically 3–5+ years in digital marketing, with proven success in strategic campaign management.
• Technical Know‑How: Familiarity with SEO, SEM, PPC, CMS, email marketing tools; basic comfort with HTML/CSS or design tools is beneficial.
• Communication & Collaboration: Exceptional verbal and written skills, adept at aligning with external partners.
• Project Management: Strong organization, multitasking, and ability to deliver on deadlines across multiple campaigns.

Interested candidate can apply linkedin.com/in/preeti-bisht-1633b1263/

About Logikality

Logikality is building an AI-native mortgage intelligence platform for the U.S. mortgage industry. We are reimagining how mortgage operations are executed by combining AI, workflow automation, and domain expertise to solve one of the most document-intensive and decision-heavy industries in the world.

Our platform goes beyond document extraction. We are building AI systems that understand mortgage files, reason across multiple sources of information, identify risks and exceptions, support underwriting and quality control decisions, and continuously improve through expert feedback and rigorous evaluation.

Job Description

We are looking for a Generative AI Engineer to build and scale Logikality's AI-native mortgage platform.

The role requires strong hands-on engineering expertise in designing, building, and deploying production-grade Generative AI systems that power intelligent mortgage operations. You will work across LLM applications, AI agents, retrieval systems, reasoning workflows, backend services, APIs, and cloud infrastructure to transform complex mortgage workflows into reliable AI products.

This is a high-ownership role for someone who can rapidly convert business problems into scalable AI solutions with minimal supervision.

Key Requirements

• 3 to 8 years of experience in software engineering, AI engineering, or Generative AI development, preferably in startup environments. 
• B.E./B.Tech. in Computer Science or a related engineering discipline a premier engineering institution (e.g., IITs, IISc, NITs, BITS Pilani, or top-tier global universities).
• Proven experience independently owning projects end-to-end from solution design and model integration to production deployment, monitoring, and maintenance. 
• Strong proficiency in Python and modern backend development. 
• Hands-on experience building production-grade applications using Large Language Models (LLMs). 
• Experience with agentic AI frameworks, multi-agent workflows, function/tool calling, structured outputs, and prompt engineering. 
• Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, and knowledge retrieval systems. 
• Experience integrating commercial and open-source foundation models (OpenAI, Anthropic, Gemini, Llama, Mistral, or similar). 
• Experience building AI pipelines using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or equivalent orchestration frameworks. 
• Strong understanding of model evaluation, hallucination mitigation, guardrails, prompt optimisation, and LLM observability. 
• Experience with OCR, document intelligence, structured information extraction, or multimodal AI systems is preferred. 
• Strong knowledge of APIs, databases, cloud infrastructure, Docker, Kubernetes, and CI/CD pipelines. 
• Ability to design scalable, secure, and production-ready AI architectures. 
• Strong debugging skills, systems thinking, and an ownership mindset with the ability to move quickly in an early-stage startup. 

Preferred Experience

• Experience building AI copilots, autonomous agents, or enterprise AI assistants. 
• Familiarity with MCP, AI tool integration, and agent orchestration. 
• Experience fine-tuning, distillation, or evaluation of open-source LLMs. 
• Knowledge of AI safety, governance, and responsible AI practices. 
• Experience working with document-heavy enterprise domains such as financial services, banking, insurance, healthcare, legal, or mortgage technology. 
• Experience deploying AI applications on AWS, Azure, or GCP. 

What You'll Build

• AI agents that automate mortgage underwriting, quality control, compliance, and document review. 
• RAG-based knowledge systems that reason across large collections of mortgage documents. 
• Intelligent workflows combining LLM reasoning with deterministic business rules. 
• Production-grade AI APIs and backend services powering Logikality's platform. 
• Evaluation pipelines to continuously improve AI quality, accuracy, latency, and cost. 

Why Join Logikality?

At Logikality, you'll work on problems that require genuine reasoning, not just text generation. You'll help build AI systems that understand complex documents, synthesise information across workflows, explain decisions, identify exceptions, and improve through continuous learning and expert feedback.

This will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.

EKO STAY is a leader in professionally managed vacation homes, offering curated homestay experiences across India. Founded in 2018 by experts in hospitality, the company operates over 150 thoughtfully designed villas across 12 cities. Known for its focus on innovation, customer satisfaction, and sustainable growth, EKO STAY sets benchmarks in alternative accommodations. Guests enjoy a blend of comfort, convenience, and unforgettable experiences with every stay.

Food Sales Executive:

* Pitch food packages to villa guests, ensuring exceptional service and guest satisfaction.

* Coordinate with guests to finalize food packages, communicate the details to the ground operations team, and ensure smooth delivery and reception.

* Oversee menu planning, food preparation, and presentation in alignment with villa standards and guest expectations.

* Monitor inventory, control costs, and maximize profitability through effective budget management.

* Ensure after-sales service by following up with guests to assess their experience and liaising with the ground team accordingly.

* Handle escalations as and when they arise.

* Ensure reviews are collected in accordance with Ekostay standards.

* Conduct mandatory introduction calls with all guests, reiterating food rules.

* Allocate chefs as needed.

* Manage Airbnb reviews.

* Resolve any food-related problems.

🧭 VP – Sales Framework

1. Job Description (JD)

Designation: Vice President – Sales

Department: Sales & Marketing

Reports To: Directors

Purpose:

To lead and drive the organisation’s revenue generation, sales strategy, and market

positioning across all real-estate projects. The VP – Sales is accountable for building a

high-performance in-house sales engine, nurturing a strong channel partner network, and

ensuring optimal sales velocity with a 70:30 ratio between direct and channel sales. The role

requires balancing strategic oversight with hands-on execution — from market mapping and

budgeting to team leadership, compliance, and brand representation.

2. Key Responsibility Areas (KRAs)

KRA Description Key Deliverables / KPIs

1. Sales Strategy &

Revenue

Achievement

Design and implement sales

plans to achieve quarterly and

annual targets for all projects.

Maintain 70:30 Direct vs Channel

Sales ratio.

Achieve ≥ 25 sales at launch and

≥ 6 sales per quarter post-launch-

Maintain approved sales ratio

(variation only with Director

approval)

2. Team Building &

Leadership

Recruit, train and lead a

complete in-house sales

ecosystem (Marketing,

Pre-Sales, Closures, CRM).

Team hiring completed within plan

timelines- ≥ 80% staff target

achievement- Attrition < 10%

3. Channel Partner

Network

Development

Identify and onboard

RERA-registered channel

partners; maintain strong

relationships to drive sales.

Number of active partners ≥ 50

per project- Channel sales closure

contribution ≤ 30% of total saleMarket

Intelligence &

Positioning

Conduct competitive project

analysis and define pricing, USP

and marketing narrative.

Quarterly market mapping report-

Price positioning and sales velocity

alignment with market data

5. Marketing &

Brand Direction

Oversee development and

approval of marketing collaterals

(flyers, brochures, videos,

hoardings).

Timely release of marketing

assets- All creatives approved by

VP Sales prior to publishing

6. Budget & ROI

Accountability

Manage marketing and sales

budgets — max 2% of property

sale value (all inclusive).

Quarterly budget utilisation ≤ 2%

cap- In-house incentives ≤ 0.2%

per sale- Expense-to-result ratio

review each quarter

7. Process & CRM

Governance

Establish robust

lead-management and

confidential CRM SOPs to

prevent leakage.

100% lead traceability and

confidentiality compliance- SOP

audit pass each quarter

8. Legal &

Documentation

Alignment

Finalise EOI, Booking Forms, CP

Agreements with Legal and

Directors.

Templates standardised before

launch- Zero legal deviation in

customer documentation

9. Events & Brand

Engagement

Plan and execute Channel

Partner meets and sales events.

Minimum 1 major CP event per

quarter- ≥ 75% attendance of top

partners

10. Reporting &

Performance

Review

Maintain weekly sales

dashboards and monthly

management reports.

Accurate report submission by 1st

week of each month- Variance

analysis with corrective actions

• Welcoming walk-in clients with warmth, listening closely to their needs, and offering furniture solutions that fit like a dream.

• Following up with clients and interior designers—not to “close a sale,” but to keep the

conversation going, with care and clarity.

• Coordinating with designers and architects to explore collaboration opportunities.

Think of it as design matchmaking!

• Preparing quotes (with flair and accuracy), and sharing them after approvals.

• Bridging the conversation between our clients and sales team—especially when prices

need a little back-and-forth magic.

• Maintaining a clean, updated client database—because good records = happy

memories.

• Handling queries with empathy and offering smooth, timely resolutions.

• Pitching in with digital media and our upcoming e-commerce journey—we love fresh

 What You Bring Along:

• Excellent spoken and written English (you’re the kind of person people like getting

emails from).

• A well-put-together presence and a natural sense of warmth.

• Comfort in dealing with clients, designers, and team members alike.

• A working knowledge of Google Sheets / Excel (nothing fancy—just the basics).

• Thoughtful email-writing skills and strong follow-up instincts.

• Confidence, initiative, and a gentle touch of humour—we love people who take work

seriously, but not themselves too seriously!

• (Female candidates are preferred for this position.)

Experience in implementing UI using DHTML, HTML5, CSS3, Bootstrap. Ability to interact with APIs based on HTTP and REST architecture and handle dynamic data on frontend. Experience in writing unit test cases for UI components. Knowledge about securing application and vulnerabilities such as XSS & CSRF.