Product Marketing Specialist

About Us

At Codemonk, we are a Product Engineering and AI Studio focused on building scalable digital products and intelligent solutions for startups and global enterprises. We partner with organizations across industries to deliver end-to-end technology services in product development, AI/ML, and engineering.

Alongside our core services, we also operate a tech-hiring acceleration platform powered by a data-driven vetting process. Through this platform, we help companies hire faster by delivering skill-aligned, pre-screened, and interview-ready talent, enabling smarter and more efficient hiring decisions.

Role Overview

We are looking for enthusiastic and driven BBA/MBA students who are interested in building a career in Sales and Business Development. As a Sales Intern, you will gain hands-on exposure to lead generation, client outreach, market research, and sales coordination while working in a fast-paced tech hiring environment.

Key Responsibilities (KRAs)

• Identify and research potential clients across startups and enterprise companies
• Assist in LinkedIn outreach, cold emails, and follow-ups with prospective clients.
• Maintain CRM records and track leads, follow-ups, and business opportunities.
• Analyze hiring trends, target industries, and competitor activities.
• Support in scheduling meetings, follow-ups, and communication with potential clients.
• Assist in preparing presentations, pitch decks, and sales-related reports.
• Work closely with recruitment and delivery teams to align client requirements and hiring needs.

Skills & Qualifications

• Pursuing BBA/MBA with specialization in Sales, Marketing, HR, or Business Development
• Strong communication and interpersonal skills
• Basic understanding of sales and client engagement
• Familiarity with LinkedIn and MS Office tools
• Self-motivated and eager to learn in a fast-paced environment

Benefits

• Hands-on exposure to tech hiring and B2B sales
• Opportunity to work with startups and enterprise clients
• Mentorship from experienced professionals
• Fast learning environment with practical exposure
• Potential full-time opportunity based on performance

Location: HSR Layout, Bangalore; Duration: 6 Months; Stipend: ₹15,000

Job description

Job Title: Accountant (Zoho Books Experience)

Job Type: Full-Time

Work Mode: Work From Home (WFH)

Experience: 3–5 Years

Salary: Up to ₹20,000 per month

Company Name: Estabizz Fintech Private Limited

Job Overview

We are looking for a detail-oriented and experienced Accountant with hands-on experience in Zoho Books to manage our billing, collections, and compliance processes. The ideal candidate should have strong knowledge of accounting practices, GST filing, and billing management, along with the ability to coordinate with internal teams and clients regarding payments and invoices.

Key Responsibilities

·       Prepare and send invoices and quotations & engagement contracts with clients.

·       Maintain and manage the complete billing cycle.

·       Ensure accuracy in billing records and financial documentation.

·       Collections & Payment Follow-ups

·       Follow up with clients for pending payments and overdue invoices.

·       Maintain collection records and track outstanding receivables.

·       Communicate professionally with clients to resolve payment delays.

·       Address and resolve billing-related disputes with customers.

·       Coordinate with internal teams to correct billing discrepancies.

·       Work with the legal team in cases of prolonged outstanding payments.

·       Maintain documentation related to payment recovery cases.

·       Accounting & Compliance

·       Maintain financial records using Zoho Books.

·       Process monthly employee salaries.

·       Prepare and file GST returns and ensure tax compliance.

·       Assist in reconciliation and financial reporting when required.

Required Skills

·       Hands-on experience with Zoho Books.

·       Strong knowledge of GST filing and compliance.

·       Experience in accounts receivable, invoicing, and collections.

·       Ability to work independently in a remote work environment.

·       Proficiency in Excel and accounting software.

·       Strong organizational and documentation skills.

Qualifications: Bachelor’s degree in Accounting, Finance, Commerce, or related field (B. Com preferred).

Regards

Radhika Sharma

HR Manager

Estabizz fintech private limited

Strong sales executive profile

Mandatory (Experience 1): Must have 3+ years of hands-on B2B SaaS sales experience, preferably selling subscription-based products or platforms

Mandatory (Experience 2): Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure

Mandatory (Experience 3): Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.

Mandatory (Experience 4): Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders

Mandatory (Experience 5): Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.

Mandatory Experience (6): Prior experience working in the Rewards, Loyalty, or Incentives space.

Mandatory (Company): B2B SaaS Product companies

Language Requirement: Tamil language proficiency is mandatory.

Mandatory(Exclusion) : Profiles with Only EdTech background will not be considered.Preferred (Consultative Selling): Strong listening skills with the ability to understand client business challenges and position SaaS solutions accordingly.

AuxoAI is seeking a Senior Applied Scientist to design and deploy structured knowledge systems that enable reliable, schema-grounded AI and agent reasoning.

This role sits at the intersection of large language models, knowledge graphs, semantic architectures, and hybrid retrieval systems. The ideal candidate will build systems that transform unstructured data into structured knowledge representations, enforce semantic constraints, and enable hybrid symbolic–neural reasoning in production environments.

You will play a key role in designing scalable semantic infrastructures that support advanced AI use cases such as GraphRAG pipelines, structured extraction, and agent reasoning workflows.

You will work on problems where existing architectures may not be sufficient and will experiment with new approaches that combine machine learning, knowledge graphs, semantic constraints, and classical AI techniques to build reliable, production-grade systems.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

• Design schema-guided information extraction systems using zero-shot and few-shot structured prompting, constrained decoding approaches such as JSON schema enforcement or grammar-based decoding, and function-calling or tool-driven extraction techniques.
• Develop recursive or multi-stage extraction pipelines capable of handling nested entities, hierarchical structures, and cross-document relationships.
• Build ontology-driven systems using frameworks such as LinkML, OWL, SHACL, or similar schema modeling tools, and implement knowledge representations using RDF triples or labeled property graphs.
• Design and optimize entity resolution algorithms using techniques such as blocking strategies, embedding similarity, and rule-based matching.
• Develop ontology alignment techniques and graph embedding models such as Node2Vec or TransE-style approaches where appropriate.
• Design hybrid retrieval architectures combining dense vector retrieval, sparse retrieval techniques, and graph traversal algorithms such as BFS, DFS, path ranking, and neighborhood expansion.
• Build validation systems that enforce schema conformance, detect semantic inconsistencies, and reduce hallucinated or invalid structured outputs.
• Integrate structured knowledge systems into GraphRAG pipelines, agent planning frameworks, and tool-selection workflows.
• Deliver production-grade semantic systems with clear targets for latency, scalability, reliability, and data integrity.

Requirements

• 5+ years of experience building production AI or machine learning systems.
• Strong experience designing and implementing knowledge graphs or ontology-driven architectures.
• Hands-on experience implementing structured extraction techniques, including grammar-constrained decoding, JSON schema enforcement, or AST-style parsing approaches.
• Experience building entity resolution systems beyond simple embedding similarity methods.
• Experience working with graph query languages such as SPARQL or Cypher and optimizing graph query performance.
• Familiarity with RDF, OWL, or property graph data models and semantic data architectures.
• Strong Python engineering skills, with emphasis on data validation, schema integrity, and system reliability.
• Experience designing hybrid symbolic and neural AI systems.

Nice to Have:

• Experience implementing graph algorithms such as PageRank, community detection, or shortest-path algorithms for reasoning chains.
• Experience building graph-enhanced retrieval systems such as GraphRAG.
• Experience designing compositional semantic extraction pipelines.
• Experience implementing reasoning engines or rule-based inference systems.
• Experience benchmarking and evaluating structural extraction accuracy and consistency.

Technical Skills Required:

• Frontend: Proficiency in HTML, CSS, JavaScript, and frameworks like React.js or Vue js.
• Backend: Hands-on experience with Node.js, PHP, or along with frameworks like Express.
• Database: Experience with relational databases like MySQL, PostgreSQL,
• Version Control: Familiarity with Git and Git-based workflows.
• Understanding of RESTful APIs and integration with third-party services.
• Basic knowledge of DevOps practices, CI/CD pipelines, and cloud platforms is a plus.

Qualifications:

• Bachelor’s degree in Computer Science, IT, or a related field.
• Proven experience working on full-stack development projects.
• Strong problem-solving and analytical skills.

• Come up with UI and UX strategies based on our target goals.
• Create and maintain digital assets, such as interface design files, wireframes, and interactive mockups using ( design and prototyping tools: e.g., Sketch and InVision).
• Design, build and maintain highly reusable JavaScript, HTML, and CSS code.

Job Description:

• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of  back-end languages (e.g. C#, Java, PHP, Python) 
• JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
• Excellent communication and teamwork skills
• Great attention to detail.

• Design, create, test, and maintain data pipeline architecture in collaboration with the Data Architect.
• Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using Java, SQL, and Big Data technologies.
• Support the translation of data needs into technical system requirements. Support in building complex queries required by the product teams.
• Build data pipelines that clean, transform, and aggregate data from disparate sources
• Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability, and pipeline performance.
• Engage with Product Management and Business to deploy and monitor products/services on cloud platforms.
• Stay up-to-date with advances in data persistence and big data technologies and run pilots to design the data architecture to scale with the increased data sets of consumer experience.
• Handle data integration, consolidation, and reconciliation activities for digital consumer / medical products.

Job Qualifications:

• Bachelor’s or master's degree in Computer Science, Information management, Statistics or related field
• 5+ years of experience in the Consumer or Healthcare industry in an analytical role with a focus on building on data pipelines, querying data, analyzing, and clearly presenting analyses to members of the data science team.
• Technical expertise with data models, data mining.
• Hands-on Knowledge of programming languages in Java, Python, R, and Scala.
• Strong knowledge in Big data tools like the snowflake, AWS Redshift, Hadoop, map-reduce, etc.
• Having knowledge in tools like AWS Glue, S3, AWS EMR, Streaming data pipelines, Kafka/Kinesis is desirable.
• Hands-on knowledge in SQL and No-SQL database design.
• Having knowledge in CI/CD for the building and hosting of the solutions.
• Having AWS certification is an added advantage.
• Having Strong knowledge in visualization tools like Tableau, QlikView is an added advantage
• A team player capable of working and integrating across cross-functional teams for implementing project requirements. Experience in technical requirements gathering and documentation.
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
• A flexible, pragmatic, and collaborative team player with the innate ability to engage with data architects, analysts, and scientists