Content Writer

Role Summary

This role exists to build and maintain the foundation of our digital visibility.

Not campaigns. Not gimmicks. Fundamentals done right, every day. You will work closely with the content and strategy team and take ownership of execution across SEO, AEO, on page, off page, and technical hygiene. This is a hands on role for someone who wants to grow into a strong SEO and growth professional. If you are looking only for posting blogs and checking rankings, this role is not for you.

Key Responsibilities

SEO Execution and Optimization

• Perform keyword research for blogs, landing pages, and feature pages

• Optimize on page elements including titles, meta descriptions, headers, internal links, and schema

• Maintain SEO hygiene across existing and new pages

• Identify cannibalization, thin content, and indexing issues

AEO and AI Search Readiness

• Optimize content for AI driven search and answer engines

• Assist in building FAQ structures, glossary pages, and entity focused content

• Support schema implementation for FAQs, How-To, Product and Article pages

• Ensure content is structured for clear extraction by AI assistants

Technical SEO Support

• Monitor crawlability, indexing, Core Web Vitals, and site health

• Identify technical issues related to page speed, redirects, broken links, sitemap, robots.txt

• Coordinate fixes with developers and track resolution

• Use tools to audit and report technical issues regularly

Off Page SEO

• Assist in link building through ethical, white hat methods

• Track backlinks, referring domains, and anchor distribution

• Identify toxic links and support disavow processes

• Support digital PR and content led backlink initiatives

Automation and Tooling

• Use SEO and marketing automation tools to improve efficiency

• Work with AI tools for keyword clustering, content briefs, SERP analysis, and audits

• Assist in setting up workflows for recurring SEO tasks

• Maintain reports and dashboards for performance tracking

Reporting and Analysis

• Track rankings, traffic, impressions, clicks, and conversions

• Prepare weekly and monthly SEO performance reports

• Highlight issues clearly, not just numbers

• Share insights, not vanity metrics

Required Skills and Experience

• Minimum 1 year of hands on experience in SEO or digital marketing

• Strong understanding of on page and technical SEO fundamentals

• Working knowledge of Google Search Console and Google Analytics

• Experience with SEO tools such as Ahrefs, SEMrush, Screaming Frog, or similar

• Basic understanding of HTML, schema, and page structure

• Familiarity with AI tools used for SEO or content research

• Ability to execute instructions accurately and consistently

Nice to Have

• Exposure to AEO or AI search optimization

• Experience working with SaaS or ecommerce websites

• Basic understanding of page speed and Core Web Vitals

• Experience with CMS platforms

• Curiosity about how AI is changing search behavior

Role Description

This is a full-time, on-site role at our Bengaluru office. As a Sales Development Specialist, you will focus on generating, prospecting, qualifying, and nurturing leads to fuel pipeline growth. The role requires proactive outreach, systematic lead qualification, and close collaboration with the sales team to achieve revenue goals.

Key Responsibilities

• Lead Generation: Identify and research potential customers using online research tools and databases, CRM data, and campaigns; build prospect lists aligned to ICPs.
• Outbound Outreach: Connect with prospects via cold calls, emails, and other suitable mediums; personalize outreach to build interest.
• Lead Qualification: Assess prospects using BANT/CHAMP frameworks to ensure only qualified leads are focused by the sales team.
• Consultative Selling: Engage with decision-makers at Indian consumer brands to understand their sales, distribution, and channel engagement challenges.
• Pipeline Management: Track leads and activities in CRM; maintain accurate reporting.
• Deal Support: Partner with senior sales team member on follow-ups and assist in progressing opportunities.
• Collaboration: Work with product, marketing and leadership teams to refine outreach strategies and improve conversions.

Ideal Profile

• 1–3 years experience in sales with focus on lead prospecting and qualification
• Strong communication, presentation, and relationship-building skills
• Consultative selling mindset with ability to engage decision-makers
• Familiarity with CRM tools (e.g., HubSpot, Zoho), sales funnels, and B2B buying cycles
• Self-starter with a growth mindset, eager to learn in a dynamic startup environment
• Bachelor's degree in Business, Marketing, or related field
• Prior SaaS sales experience and exposure to Indian MSMEs is a plus

Why Nexxio?

• Be part of a mission-driven startup transforming MSMEs across India
• Gain exposure to full-cycle B2B enterprise sales
• Be part of our growth story and accelerate your career
• Competitive salary + significant performance-linked incentives
• Complimentary office lunch
• Good work-life-balance (9:30 AM to 6:30 PM India time)

Experience with deploying applications on cloud infrastructure, preferably AWS

• Experience in using REST APIs with the front end

• Experience in handling webMap applications using leading webMap Javascript APIs like ReactJS Leaflet, Google Maps Javascript API and Geoserver management

• Experience with the Agile/Scrum development model

• Strong experience in code versioning using Git.

• Strong design, development, and implementation experience.

• Very good experience in React JS, React Leaflet and Redux

ROLE SUMMARY:

We are seeking a highly skilled and experienced SDE II .NET Engineer to join our team. As a member of our team, you will work closely with our development team to design, develop and implement software solutions using the .NET framework and related technologies.

QUALIFICATION:

• Excellent academic record – B.E./B.Tech IT, CSE/ MCA
• 3 to 6 years of relevant software development experience with .NET technologies and frontend - Angular 2+/React.js
• Hands-on experience in C#, ASP.NET Web APIs, SQL Server Database with Entity Framework
• Hands-on experience with Angular 2+ or React.js
• Hands-on experience with RESTful Web API
• Hands-on experience in LINQ, Asynchronous programming
• Good understanding of OOPS concepts
• Good Knowledge of JavaScript and JavaScript frameworks
• Experience in integrating different 3rd party APIs (eg. Google Maps, Facebook etc.)
• Good knowledge of GIT
• Good to have: Node.Js, MongoDB, Gulp, Webpack, Azure, AWS, Docker

COMPETENCIES:

● Excellent verbal and written communication

● Willingness to learn and develop your skill set

● Works well within a team environment

● Logical thinker with good problem-solving and analytical skills

● Willingness to get to the root of the problem

● Proactive can do and can think the approach to the job

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

• Developing, recording, and maintaining cutting edge web-based PHP applications on portal plus premium service platforms
• Building innovative, state-of-the-art applications and collaborate with the User Experience team
• Ensuring HTML, CSS, and shared JavaScript is valid and consistent across applications
• Preparing and maintaining all applications utilising standard development tools
• Utilising backend data services and contributing to increasing existing data services API
• Leading the entire web application development life cycle right from concept stage to delivery and post-launch support
• Conveying effectively with all task progress, evaluations, suggestions, schedules along with technical and process issues
• Documenting the development process, architecture, and standard components
• Coordinating with co-developers and keeping project manager well informed of the status of development effort and serving as a liaison between development staff and project manager
• Keeping abreast of new trends and best practices in web development

Job Description:

• Knowledge of front-end technologies like Vue JS/ Angular JS / ReactJS .
• Basic knowledge of GIT or  BitBucket  or TFS or Jenkins
• Experience in technologies like Devops, NodeJS, ExpressJS, .Net Core
• Understanding of Microservice architecture , Docker containers and  Database designs
• Knowledge of various AWS services such as CloudWatch, Lambda, EC2, ECS, S3, AWS Document DB/DynamoDb, Cloud formation
• Soft skills - Self driven and independent, Good team player, good interpersonal skills, Flexible and Proactive, Good communication with client.
• Building reusable components and front-end libraries for future use.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.
• Ability to understand business requirements and translate them into technical requirements.
• Translating designs and wireframes into high quality code.
• Review the React code of team members, Help technically where-ever required as a one- team approach.