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Visualizer – Pitches & Proposals
Visualizer – Pitches & Proposals
NeoGenCode Technologies Pvt Ltd's logo

Visualizer – Pitches & Proposals

Akshay Patil's profile picture
Posted by Akshay Patil
7 - 10 yrs
₹9L - ₹14L / yr
Gurugram
Skills
MS-PowerPoint
Adobe Indesign
Adobe Photoshop
skill iconAdobe Illustrator
skill iconAdobe XD
Pitch Decks
Infographics
Proposals
Branding
Visual storytelling

Job Title : Visualizer – Pitches & Proposals

Experience : 7 to 12 Years

Location : Gurgaon, India

Shift Timing : 11:00 AM – 8:00 PM IST

Work Setup : Hybrid – 3 Days from Office, 2 Days from Home

Work Days : Monday to Friday | Full-Time


Job Overview :

We are looking for a highly experienced Visualizer – Pitches & Proposals to join our Global Visual Solutions team.

The role requires exceptional communication skills, as you’ll work closely with European stakeholders to design impactful pitch decks, proposals, infographics, and co-branded materials.

A keen eye for visual storytelling, brand alignment, and high-end design execution is essential.


Mandatory Skills :

PowerPoint, Adobe InDesign, Photoshop, Illustrator, XD, Pitch Decks, Infographics, Proposals, Branding, Visual Storytelling.


Key Responsibilities :

  • Design and visually enhance pitch decks, bid proposals, co-branded templates, and presentations.
  • Translate complex data and narratives into infographics, data visualizations, and visually appealing layouts.
  • Collaborate with global teams to ensure timely delivery of creative assets for business development and marketing needs.
  • Maintain brand consistency across all internal and external materials.
  • Work closely with stakeholders to interpret briefs, incorporate feedback, and deliver high-quality outputs.
  • Contribute to creative brainstorming, content structuring, and layout design for digital and print formats.
  • Translate UX research into wireframes, user flows, mockups, and interactive templates where applicable.

Required Skills :

  • Expert proficiency in PowerPoint and Adobe Creative Suite (InDesign, Photoshop, Illustrator, XD).
  • Hands-on experience with pitch decks, proposals, infographics, co-branded templates, and marketing collateral.
  • Strong understanding of visual hierarchy, layout design, typography, and branding.
  • Familiarity with Keynote, Google Slides, and advanced MS Office tools.
  • Excellent communication and stakeholder management skills, especially with international teams.
  • Highly organized, deadline-driven, and detail-oriented.

Candidate Notes :

  • Resumes must be well-aligned and professionally formatted.
  • Portfolio links are mandatory with every profile submission.
  • Strict Communication Requirement : Excellent spoken and written English for European stakeholder alignment.
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About NeoGenCode Technologies Pvt Ltd

Founded :
2023
Type :
Services
Size
Stage :
Raised funding

About

Welcome to Neogencode Technologies, an IT services and consulting firm that provides innovative solutions to help businesses achieve their goals. Our team of experienced professionals is committed to providing tailored services to meet the specific needs of each client. Our comprehensive range of services includes software development, web design and development, mobile app development, cloud computing, cybersecurity, digital marketing, and skilled resource acquisition. We specialize in helping our clients find the right skilled resources to meet their unique business needs. At Neogencode Technologies, we prioritize communication and collaboration with our clients, striving to understand their unique challenges and provide customized solutions that exceed their expectations. We value long-term partnerships with our clients and are committed to delivering exceptional service at every stage of the engagement. Whether you are a small business looking to improve your processes or a large enterprise seeking to stay ahead of the competition, Neogencode Technologies has the expertise and experience to help you succeed. Contact us today to learn more about how we can support your business growth and provide skilled resources to meet your business needs.

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Candid answers by the company

What does the company do?
What is the location preference of jobs?

IT & Engineering Talent Staffing

  • Provides full-time and contract-based hiring, delivering handpicked, pre‑screened developers across tech stacks—ranging from web, mobile, AI/ML, Web3/blockchain.
  • Maintains a bench o vetted candidates, offering fast delivery of interview-ready profiles—often within 24 hours.
  • Offers payroll management, handling compliance, tax, attendance, and documentation for both contractors and full-time employees.

2. End-to-End Project Delivery

  • Delivers full-stack development solutions: web, mobile, cloud, AI/ML, Blockchain/Web3.
  • Manages entire project lifecycle—requirements gathering, design (UI/UX), development, deployment, and ongoing support .

3. Additional Offerings

  • Expands into cybersecurity consulting, digital marketing, and cloud platform services (like AWS, GCP, Azure) .
  • Provides strategic IT consulting to align technology solutions with business objectives


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Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.


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THE OPPORTUNITY AT A GLANCE :


AI-First Engineering Culture :

  • Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.


Hands-On Engineering Leadership :

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People & Org Builder :

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KEY RESPONSIBILITIES :


1. Hands-On Technical Engagement :

  • Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
  • Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
  • Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
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  • Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
  • Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability


2. AI Adoption, Integration & Transformation (2026 Mandate) :

  • Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
  • Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
  • Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
  • Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
  • Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
  • Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
  • Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
  • Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications


3. People Leadership & Team Development :

  • Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
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  • Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
  • Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
  • Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
  • Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering


4. Engineering Delivery & Execution Excellence :

  • Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
  • Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
  • Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
  • Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
  • Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
  • Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership


5. Strategic Leadership & Cross-Functional Influence :

  • Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
  • Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
  • Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
  • Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
  • Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
  • Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use


AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :


In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :


AI Developer Productivity

  • Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.


LLM & GenAI Product Features

  • Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.


AI-Augmented Observability

  • Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.


Team AI Fluency :

  • Build mandatory AI literacy across all engineering levels.
  • Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.


Responsible AI Governance :

  • Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.


TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :


  • Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
  • Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
  • AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
  • Copilot: Cursor /Hugging Face
  • Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
  • Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
  • Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
  • MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
  • Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
  • CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)


QUALIFICATIONS & CANDIDATE PROFILE :

Education :

  • B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
  • Demonstrated engineering depth and leadership impact may complement institution pedigree


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  • Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
  • Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
  • Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
  • Demonstrated career stability minimum of 2 years of average tenure per organisation.


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  • Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
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Clear Leadership Growth Path :

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Shubham Vishwakarma

Full Stack Developer - Averlon
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