Category Manager

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

Experience: 7+ Years Qualification: Graduate / Postgraduate or relevant qualification Location: Should be based out of Mumbai What You’ll Be Doing • Own the full sales cycle—prospect, pitch, close, and grow SME and enterprise accounts. • Hit (and aim to crush!) your quarterly and annual revenue targets. • Be a trusted advisor to prospects, offering smart, solution-driven conversations—not just sales pitches. • Lead impactful demos and presentations that get people genuinely excited about what we do. • Keep your pipeline fresh and your follow-ups tighter than your Spotify playlists. • Use data and insights to track opportunities, forecast sales, and stay ahead of the curve. • Build and manage a solid list of leads from marketing, outreach, and your own hustle. • Team up with Marketing and Channel partners to launch creative campaigns and drive awareness. • Ensure a smooth handoff to our Customer Success crew so every client gets the VIP treatment from day one. • Be a key voice in our growing sales team—bringing energy, curiosity, and a knack for spotting opportunities others miss. What You Bring to the Table • 7+ years of experience selling SaaS, ERP, or subscription-based products across a diverse customer base—you're no stranger to complex tech sales. • A strong background in account management —you know how to build relationships and keep things on track. • A proven closer—your track record with mid-size and large enterprise deals speaks for itself. • Quick on your feet—you're great at handling objections and can break down complex solutions in a way that just clicks. • Stellar time management—you juggle multiple deals without dropping the ball. • A natural relationship builder—you create new opportunities through meaningful conversations and trust. • Consistent performer—you hit or exceed your targets month after month. • Thrive under pressure—you’re energized by tight deadlines and fast-moving teams. • Comfortable navigating CRMs (we use HubSpot) and using data to drive your sales game

Job Responsibilities:

• Drive sales strategies to meet revenue goals

• Build & maintain key client relationships

• Lead, mentor & manage the sales team

• Conduct market research and identify opportunities

• Coordinate with Marketing & Product teams

• Prepare sales reports for senior management

• Attend industry events & generate business

• Maintain strong sales pipeline & improve processes

Key Responsibilities

🧪 AI/ML Research & Development

• Develop AI models to identify learning difficulty patterns based on multi-domain assessments.
• Train models to classify LD categories (e.g., dyslexia, dysgraphia) from scoring + qualitative inputs.
• Build recommendation logic for intervention strategies based on child profiles and educator feedback.

📊 Data Processing & Pipeline

• Design data pipelines to preprocess structured and semi-structured data (scores, observations, logs).
• Work with educator-generated reports and build logic to convert qualitative insights into ML-readable formats.

🔎 Model Evaluation & Iteration

• Perform evaluation using accuracy, recall, precision; but also focus on interpretability and ethical AI.
• Use techniques like SHAP, attention weights, or decision trees for explainability in recommendations.

🤝 Collaboration & Integration

• Work closely with frontend/backend teams to integrate AI insights into the assessment tool UI.
• Sync with special educators to validate model predictions and continuously improve the output quality.

Job Responsibilities:-

• Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
• Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
• Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
• Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
• Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
• Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
• Experience working with big data systems and big data concepts.
• Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
• Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
• Experience with noisy and/or unstructured textual data.

knowledge graph and NLP including summarization, topic modelling etc

• Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
• Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
• Strong understanding of text pre-processing and normalization techniques, such as tokenization,
• POS tagging and parsing and how they work at a low level.
• Excellent problem solving skills.
• Strong verbal and written communication skills
• Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
• Practical experience in using NLP related techniques and algorithms
• Experience in open source coding and communities desirable.

Able to containerize Models and associated modules and work in a Microservices environment

• Gaining insights of Legistify services and learn intricacies of legal services facilitated by Legistify
• Develop the business towards the projected growth ethically, timely and economically in consultation with the respective head.
• The meta goal for Corporate Alliance Associate is to convert the prospects to paid clients and provide best customer experience for the entire client lifecycle.
• Providing best and professional customer experience to prospects and clients
• Servicing clients dedicatedly and always be available for them ( 24*7 * 365 )
• Recording case details, documents, paid installments, due installments, and milestones for every client.
• Send Predefined Structured Email Templates to Clients. If not pre defined, mail should be properly structured, formatted and legible