Telecaller

We have opening for Inside Sales Engineer for a Manufacturing company in Vikhroli Mumbai

Job Requirement :

Experience of 4-6 years as Sales Engineer / Fresher with Degree or Diploma in Mechanical can apply

Job Role:

Provide pre-sales technical assistance and product education to customers.Respond to inquiries and resolve issues promptly to ensure customer satisfaction.Collaborate with the sales team to develop and implement effective sales strategies.Identify opportunities for upselling and cross-selling our products and services.Utilize engineering knowledge to understand customer needs and recommend suitableproducts or solutions. Conduct product demonstrations and technical presentations.Prepare and deliver accurate and competitive sales quotations, proposals, andcontracts. Ensure all customer communications are clear, professional, and effective.Build and maintain strong relationships with existing and potential customers. Act asthe primary point of contact for customer inquiries and follow up on leads.Work closely with the engineering, marketing, and manufacturing, accounts andlogistics teams to ensure alignment between customer needs and product offerings.Track and report on sales activities, including lead generation, customer interactions,and sales performance. Provide regular updates to senior management.

About Master-O

Master-O is a next-generation sales enablement and microskill learning platform that empowers frontline teams through gamification, AI-driven coaching, and continuous performance reinforcement.

Our platform is trusted by leading enterprises in financial services, retail, pharma, consumer goods, telecom, automobile, BFSI, construction and others to drive measurable business outcomes across sales readiness, productivity, and execution excellence.

We are looking for someone who can own strategic accounts, drive adoption, and unlock growth opportunities.

Role Overview

The CS Associate will play a critical role in ensuring long-term customer value, retention, and expansion for Master-O’s enterprise clients.

You will act as a trusted advisor to senior stakeholders, ensuring customers achieve measurable ROI while identifying opportunities to grow the account footprint.

Key Responsibilities

Customer Success & Key Account Management

• Own end-to-end customer success for enterprise corporate accounts, primarily in the domestic market
• Drive onboarding, adoption, engagement, and value realization of the Master-O platform
• Build strong relationships with CXOs, Sales Heads, L&D leaders, and other stakeholders
• Act as the point of contact with the customer, ensuring feedback is looped back into product and solution improvements
• Track success metrics such as usage, renewals, and expansions

Stakeholder & Internal Collaboration

• Work closely with Product & Design, Tech and CS teams to ensure seamless execution
• Translate client business objectives into platform use cases and success roadmaps
• Support case studies, testimonials, and references from satisfied customers

Required Skills & Experience

• 2+ years of full-time experience in Customer Success / Key Account
• Prior experience in B2B SaaS companies, handling enterprise-level clients
• Proven experience working with domestic customers and managing stakeholders across regions
• Strong understanding of SaaS metrics, renewals, expansions, and customer lifecycle management
• Experience in fast-paced startup environments preferred
• Excellent communication, presentation, and stakeholder management skills
• Strong business acumen with the ability to connect product value to business outcomes

What You’ll Get

• Opportunity to work with both: Pan-India and Global enterprise brands
• High ownership role with direct impact on customer outcomes and revenue growth
• Exposure to cutting-edge AI-driven learning and sales enablement technology
• Fast-paced environment with room to grow into a leadership role
• Competitive compensation aligned with experience

Fountane Archipelago  ·  Island Role

A Little Bit About the Role

We are looking for a Senior Product Engineer (L3) who thrives in complexity. Most engineers build on blank canvases — you build on someone else’s mess and leave it better than you found it.

The majority of your work at L3 will be on existing, live codebases — disorganised, partially documented, built by multiple teams over multiple years. Your job is to enter those systems, understand them before touching them, extend and clean them without breaking what works, and progressively bring them up to a standard where AI tooling can accelerate further development. This is the core of what L3 does at Fountane. If you have only built greenfield projects, this role will be hard.

You are expected to be genuinely full stack: comfortable owning web applications and mobile apps, the frontend, backend, database, state management, and API integration layer — without needing to hand off to a specialist.

You will work closely with the Concept Engineer on your Island — translating their prototypes into production architecture, raising technical blockers early, and keeping the sprint honest. You will also review code, mentor junior engineers, respond to production incidents, and contribute to the network’s shared knowledge base.

All of this is done primarily with Cursor and Claude as your execution and reasoning tools. AI-assisted engineering is not a feature of this role — it is the method.

AI-First Engineering Expectation

Cursor and Claude are your primary tools — not supplements. Engineers at L3 who are not using AI at the codebase level are not operating at this level.

At L3, AI-assisted engineering means:

• Loading full codebase context into Cursor before writing a single line — understanding the system before touching it.
• Writing scoped, precise refactor prompts that isolate changes to one concern at a time.
• Using Cursor to generate tests that document existing behaviour before any restructuring begins.
• Using Claude for architecture reasoning, decision documentation, and translating CE briefs into structured technical plans.
• Producing inline documentation and decision records as part of the AI-assisted workflow — not as an afterthought.
• Sharing effective prompt patterns and Cursor discoveries with the broader Fountane network — kept to yourself, they are a missed contribution.

Key Responsibilities

Legacy Codebase Refactoring & the Cleaning Phase

This is the primary L3 engagement type at Fountane. You will be handed existing, partially documented codebases — built by previous teams, often without tests, with inconsistent patterns — and your job is to refactor them into a clean, AI-promptable state without losing existing functionality. You use Cursor’s codebase context window to navigate safely, write characterisation tests before touching anything, and make changes in small, reviewable increments. The standard is: every module you leave should be easier to extend by AI tooling than when you found it.

Full Stack Development — Web & Mobile

Build and own the full application layer: React / Next.js web frontends, React Native or Flutter mobile apps, Node.js / Python backends, and relational and non-relational databases. You should be able to pick up web or mobile on any engagement without needing a handoff. Schema design, data modelling, and state architecture are yours to own — including diagnosing and fixing broken or leaking state in existing frontends.

Third-Party API Integrations

Integrate complex third-party services — payments (Stripe), communications (Twilio), auth (Auth0), and others — reliably and without creating brittle dependencies. Own the integration layer end to end: error handling, retries, failure modes, and documentation. If a third-party integration is flaky in production, that is your problem to own.

CE Collaboration & Sprint Integrity

Work directly with the Concept Engineer to translate prototypes into buildable technical plans. Review CE briefs before the sprint starts — if the scope is technically unrealistic, the time to say so is before work begins, not on demo day. Raise blockers against acceptance criteria proactively. You are the technical check on what the CE promises the client.

Security Awareness

Write code that does not require the Lead to security-audit every line. This means: input validation by default, no hardcoded secrets, correct auth scoping, safe handling of user data, and awareness of common vulnerabilities (injection, broken auth, insecure direct object references) in the context of the stacks you work in. You are not the security architect — the Lead owns that — but you are expected to produce code that does not introduce obvious vulnerabilities.

Production Incident Response

When something breaks in production, you are on it. Diagnose the issue, apply a safe fix or rollback, document what happened and why, and hand a clear summary to the Lead for the client post-mortem. Speed matters, but a bad fix that causes a second incident is worse than a slow fix that is correct. Response expectation: acknowledged within 1 hour, resolved or escalated with a clear status within 4 hours.

Codebase Navigation & Safe Refactoring

On all engagements — not just Cleaning Phase work — keep changes small, focused, and reviewable. One type of change per commit. Write tests that document existing behaviour before restructuring. Leave every module easier to understand than when you found it.

Code Review

Review pull requests from L1 and L2 engineers with specific, actionable feedback — not rubber-stamp approvals. A good code review at L3 leaves the author understanding what to do differently next time, not just what to fix now. Review weekly; do not let PRs age.

Mentoring

Review junior engineers’ code weekly with specific, useful feedback — this is distinct from quality-gate code review. The goal here is teaching, not gatekeeping. Run monthly pairing sessions to help them grow. The measure of good mentoring is whether they are becoming more capable and less dependent on you over time.

Documentation

Write short decision records when you make significant technical choices. Leave every module you touch easier to understand than when you found it. Treat documentation as part of the engineering work, not a separate task you do at the end.

Qualifications

• 5+ years of experience as a software engineer, with a strong track record on real production codebases you did not build from scratch — incomplete documentation, inconsistent patterns, other people’s decisions. If your experience is primarily greenfield, this role will be a difficult fit.
• Genuinely full stack across web and mobile: proficient in React / Next.js and at least one of React Native or Flutter, Node.js or Python on the backend, and comfortable with both relational and non-relational databases including schema design.
• Hands-on, daily Cursor and Claude usage at the codebase level. You should be able to describe concretely how you use AI in your engineering workflow — not in general terms.
• Experience integrating complex third-party APIs in production environments — not just following a quickstart guide. You should be able to describe an integration that failed in production and what you did about it.
• Solid security awareness for the stacks you work in: input validation, auth scoping, safe data handling. You do not need a security specialism, but you should not be writing code that introduces obvious vulnerabilities.
• Has conducted meaningful code reviews that improved the code and the author, not just approved the PR.
• Has coached or mentored junior engineers before, and done it well.
• Comfortable with production incident response — diagnosing issues under pressure, applying safe fixes, and communicating clearly to a Lead or client about what happened.
• Treats documentation as part of the job, not an afterthought.
• Bachelor’s or Master’s in Computer Science or a related field, or equivalent experience.

About Fountane

Fountane is a technology ventures lab - one part product studio, one part startup engine. We build high-quality software and AI products for clients ranging from fast-moving startups to large enterprises, and we co-build and invest in new companies when we see the right opportunity.

Founded in 2017 and headquartered in Minneapolis, we have grown to 60+ people across four continents and were recognised as one of America’s fastest-growing companies, ranking No. 699 on the Inc. 5000 with 595% three-year growth.

We are radically open-minded, serious about craft, and direct about expectations. If you want to do meaningful work without politics, this is the place.

Senior Python Developer to lead the development of scalable, high-performance backend systems and data-driven applications. You will work on building robust services, APIs, and data workflows that power real-time and batch applications.This role is ideal for a seasoned developer who thrives on solving complex problems, building reliable software, and working across data and engineering teams. Youll play a key role in designing and developing Python-based systems that interface with big data frameworks, cloud platforms, and analytics tools.Key Responsibilities

• Design and develop robust Python-based backend services and microservices.
• Build RESTful APIs and integrations with third-party systems and internal tools.
• Work with data workflows involving ingestion, transformation, and validation.
• Develop and maintain ETL/ELT pipelines using Python, SQL, and Airflow.
• Collaborate with DevOps teams to deploy, monitor, and scale applications in cloud environments (AWS, Azure, GCP).
• Optimize code for performance, scalability, and maintainability.
• Write unit and integration tests, participate in code reviews, and follow CI/CD best practices.
• Work with cloud storage, databases, and data lake technologies like S3, Parquet, and DuckDB.
• Collaborate with data scientists, analysts, and engineers to enable data access and modeling.

Required Skills & Qualifications

• 5+ years of experience in backend software development, primarily in Python.
• Strong understanding of OOP, modular design, and Python design patterns.
• Experience with web frameworks (e.g., Flask, FastAPI, Django).
• Hands-on experience with data processing tools like Pandas, SQLAlchemy, PyArrow.
• Proficiency with SQL and database technologies (PostgreSQL, DuckDB, etc.).
• Experience with Airflow for workflow orchestration.
• Knowledge of building scalable, distributed applications and microservices.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Solid understanding of version control (Git), testing frameworks (PyTest), and CI/CD pipelines.
• Excellent problem-solving, debugging, and communication skills.

Preferred Skills (Nice to Have)

• Experience with data processing frameworks like Apache Spark or Vaex.
• Familiarity with data storage formats and tools like Parquet, Iceberg.
• Exposure to data streaming platforms (Kafka, Kinesis, Flink).
• Experience integrating backend systems with AI/ML pipelines or BI platforms.
• Understanding of security standards and compliance (GDPR, HIPAA, SOC2).
• Background in metadata-driven or event-driven architectures.

Requires that any candidate know the M365 Collaboration environment. SharePoint Online, MS Teams. Exchange Online, Entra and Purview. Need developer that possess a strong understanding of Data Structure, Problem Solving abilities, SQL, PowerShell, MS Teams App Development, Python, Visual Basic, C##, JavaScript, Java, HTML, PHP, C.

Need a strong understanding of the development lifecycle, and possess debugging skills time management, business acumen, and have a positive attitude is a must and open to continual growth.

Capability to code appropriate solutions will be tested in any interview.

Knowledge of a wide variety of Generative AI models

Conceptual understanding of how large language models work

Proficiency in coding languages for data manipulation (e.g., SQL) and machine learning & AI development (e.g., Python)

Experience with dashboarding tools such as Power BI and Tableau (beneficial but not essential)

Job Description for Digital Marketing Executive

• Contribute to the development of an overall strategy for digital marketing.
• Develop and implement digital marketing campaigns across a broad range of media (SEO, SEM, social media, email, mobile, display).
• Provide management and maintenance to the company’s owned media, such as websites, mobile apps, and CRM/email software.
• Creating engaging and relevant digital content for distribution across a variety of digital platforms.
• Campaign management for social media.
• Management of digital advertising campaigns.
• Campaign management for search engine optimization.
• Ensure that conversions, pixels, and events are tracked on the website and across various digital platforms.
• Identify market trends, the brand’s audience, and competitors, along with the entire consumer journey to increase engagement and conversion.
• To develop optimization plans, analyze data from digital marketing analytics reports, and share insights with team members.
• Share insights with the rest of the team on new technologies, emerging digital tools, and digital marketing trends.

Requirements for Digital marketing executive

The following qualifications are required if you are applying for a digital marketing executive job position:

• An undergraduate or graduate degree in marketing or a related field is required.
• Experience, ideally within the industry, in digital marketing.
• Independently handling the content.
• Efforts to lead and manage SEO/SEM, marketing databases, email campaigns, social media campaigns, and display advertising campaigns.
• Optimization of landing pages and conversion funnels.
• Multivariate and A/B testing experience.
• The digital marketing executive job role needs an understanding of ad serving tools.
• Knowledge of how to set up and optimize PPC campaigns across all major search engines.
• Having a working understanding of HTML, CSS, as well as JavaScript.

• Develop and optimize machine learning models to run efficiently on mobile web and best exploit modern parallel environments.
• Develop and deploy real-time AR computer vision algorithms for the web in areas related to 3D reconstruction, WebGL rendering, object detection and tracking, and camera calibration.
• Work with research and engineering teams to productionize machine learning services for Augmented Reality experiences.

What we look for:

• Minimum 2+ years of experience working with the following languages (any 2): C++, Javascript, Rust.
• Strong experience working with at least one deep-learning library (e.g., PyTorch, Jax, TensorFlow, Caffe2). This experience should include formulation, training, and optimization of new algorithms.

Also Preferred:

• Prior experience with WebGL, WebAssembly.
• Strong grasp of CPU and GPU performance challenges and optimization techniques.
• Experience in shipping computer vision or image processing products to customers.