Digital Marketing Executive

Key Focus Areas:-

• Scalable SaaS and distributed systems

• Microservices architecture

• Backend performance and API optimization

• Cloud infrastructure and DevOps

• Multi-tenant platforms

• Reliability, scalability, and engineering governance

Main Responsibilities:-

• Design fault-tolerant backend systems

• Lead architecture decisions and technical planning

• Improve system performance, scalability, and deployment workflows

• Guide senior developers and enforce engineering standards

• Reduce technical debt and solve complex production issues

• Collaborate with DevOps on CI/CD, monitoring, and AWS infrastructure.

• You will work on complex, enterprise-scale systems including large SaaS platforms, distributed backend architectures, pricing intelligence engines, CRM solutions, 3D configuration ecosystems, route optimization modules, payment integrations, high-volume APIs, and modern cloud infrastructure.

• We are not looking for a “people manager who used to code.

Required Skills:-

• Backend: Node.js, TypeScript, REST APIs, event-driven systems

• Frontend Understanding: React.js architecture concepts

• Databases: PostgreSQL, MySQL, Redis, query optimization

• Cloud/DevOps: AWS, Docker, CI/CD, Kubernetes (preferred)

• System Design: Microservices, distributed systems, high-availability SaaS platforms

Preferred Experience:-

• SaaS product companies

• Enterprise CRM systems

• Large-scale production platforms

• Pricing engines, WebGL/3D systems, AI-assisted workflows

• U.S.-based product engineering environments

Experience Needed:-

• 10–15 years in software engineering

• 3+ years in architect/principal engineer/engineering lead roles

• Proven experience building scalable production systems

Ideal Candidate:-

A technically strong, ownership-driven architect who:

• Thinks strategically

• Stays calm under pressure

• Solves complex engineering problems

• Mentors teams effectively

• Builds long-term scalable systems rather than quick fixes

Key Responsibilities

• Develop, test, and maintain applications using .Net/C# and Azure technologies.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization, and automation.

Job Description:

Minimum 6+ years of experience building global enterprise level systems

Extensive experience developing complex distributed event-based microservices using C#/.Net Core

Knowledge with containerisation (Docker, Kubernetes)

Experience with cloud platforms (Azure, AWS)

Exposure with distributed messaging / streaming platforms (Apache Kafka)

Involvement building CI/CD pipelines (ideally Azure DevOps)

Excellent knowledge of Relational Databases SQL and No-SQL databases

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.

Exp: 5 to 8 Years

Budget- 20 to 24LPA

Location: Mumbai, Andheri

Mandatory Criteria

• You are an MBA grad with 5+ years into your marketing career, with strong B2B experience.
• You are equally comfortable thinking and doing — you don’t just manage, you make things happen
• You think like a founder — practical, agile, and resourceful.
• You thrive in fast-paced, iterative environments.
• You are fascinated by what makes AI and Learning tick.
• You value output over optics — and clarity over jargon.

OKR

● Own the marketing calendar and deliver practical, sharp B2B campaigns that generate

sales meetings and conversations, not just clicks and impressions.

● Come up with breakthrough marketing initiatives that challenge “this is how it’s done”

thinking.

● Partner closely with the sales, product, and solutions team to move the sales pipeline.

● Drive execution across email, LinkedIn, events, and more with an outcome-driven

approach

● Leverage tools and AI platforms for the creation of marketing and sales collaterals across

various formats and mediums relevant to target customers

● Lead a sharp team, while staying deeply hands-on yourself.

If interested kindly share your updated resume at 82008 31681

Key Responsibilities:

• Develop and execute regional strategies for IT services and reselling in the US, ensuring alignment with company objectives.

• Identify new business opportunities while managing and expanding existing customer relationships within the US region.

• Collaborate with C-level executives to understand their business needs, propose customized IT solutions, and foster long-term partnerships.

• Lead and manage a team focused on delivering high-quality IT solutions, ensuring exceptional customer satisfaction and retention.

• Develop and deliver compelling, solution-based proposals, presentations, and contracts to win new business.

• Drive revenue growth by optimizing sales cycles, identifying upsell/cross-sell opportunities, and negotiating large-scale deals.

• Coordinate regional sales and operations teams to ensure smooth execution of projects and services.

• Monitor market trends, competitor activities, and customer feedback to continually enhance service offerings.

• Work closely with internal teams (sales, marketing, technical support) to ensure seamless service delivery and project success.

• Report on sales performance, market insights, and team performance to senior leadership.

Responsibilities:

• Draft proposal portions such as introduction, overview, project approach, and cover letter
• Draft proposal template to hand off to subject matter expert and writing teams
• Develop and execute consistent company identity through document templates, letterhead, and logo usage
• Lead proposal team on RFP, RFQ, award submittals, and roster application responses
• Synthesize proposal materials into final client-ready package
• Maintain proposal milestones schedules like issue and review dates, kickoff meetings, and due dates.
• Engage in proposal sections coordination, final formatting, assembly, packaging, and delivery.
• Ensuring documents are secure and up to company standards
• Facilitating the proposal review process

What you will bring:

• Responsible for coordinating proposals
• Coordinate and maintain team documentation efforts for responses to RFPs
• Analyze requirements and ensure that proposals meet requirements
• Edit and rewrite proposals, including creating templates and boilerplate text
• Draft proposals and communicate across teams to get input and meet deadlines