Manager -Enterprise Customer Success (B2B SaaS, USA)

We’re building the future of AI-powered sales enablement.

PitchSense AI is a flagship product within our portfolio of AI-driven Sales and Marketing solutions.

We blend conversational intelligence, generative AI, and behavioural analytics to help people master persuasion through real-time AI simulations.

Why PitchSense AI

Working here means joining a small, fast-moving team that lives at the frontier of applied AI.

You’ll:

• Build in a high-pace, high-learning environment where ideas ship fast.
• Tinker with cutting-edge AI tools, agents, and large language models (LLMs) daily.
• Prototype novel ways to combine speech, emotion, and reasoning into human-like training experiences.
• Learn across multiple domains — engineering, design, analytics, and product.
• Work directly with the founding team on problems no one has solved before.

This is not routine work — it’s an opportunity to shape entirely new experiences in human-AI interaction while growing faster than you ever have before.

Stack: Next.js · TypeScript · NestJS · Prisma · PostgreSQL · AWS · OpenAI · AISDK · AI Agents · RAG · ElevenLabs

Culture: Ownership · Velocity · Craftsmanship

SDE II

Location: Gurgaon

Experience: 2–4 years | Type: Full-time | Reports to: CTO

Responsibilities

• Architect and scale multi-tenant systems for AI training and analytics.
• Design clean APIs and optimise data models for speed and resilience.
• Mentor junior engineers and uphold engineering best practices.
• Enhance caching, monitoring, and infrastructure reliability on AWS.
• Integrate AI-based code reviews to maintain quality and velocity.

Requirements

• 2–4 years of full-stack or backend experience.
• Expertise in TypeScript, Node.js, PostgreSQL, React/Next.js.
• Comfortable owning modules from design to production.

Bonus

• Experience with AI model integration or speech intelligence.
• Exposure to Prisma ORM, CI/CD, and monitoring tools.

Developer Tools & Workflow

Every engineer and designer at PitchSense AI uses modern, AI-augmented tools to move fast and ship better.

Tools

• Cursor IDE
• Claude Code
• AWS (Lambda, ECS, RDS, S3)
• AI-based Code Reviews
• MagicPath
• Figma AI

Workflow Highlights

• Continuous deployment via GitHub Actions / AWS Pipelines.
• PR preview environments for instant testing.
• AI-driven code review loops for rapid iteration.
• Cross-disciplinary culture - work across frontend, backend, DevOps, and design.

Culture & Perks

• Ownership from day one - every role is founding-level.
• High-performance, meritocratic culture - growth based on impact, not tenure.
• Cross-discipline learning - explore code, design, and infrastructure alike.
• MacBook for work and premium tooling.
• Annual offsite for alignment and collaboration.
• Competitive compensation and ESOPs for core hires.
• Direct mentorship from the CTO and founding team.
• Real impact - reshape how humans learn to sell, speak, and persuade through AI.

Need candidates from Delhi-NCR only.

2. Candidate must have Excellent Communication skills.

2. Must be comfortable working in US Shifts.

3. Must have hands-on experience in Excel and data entry.

4. Should have experience with ERP, CRM, or data import systems (e.g., SX.e, Creatio) is a plus.

5. Immediate Joiners are Preferred

We’re Hiring: Customer Care Executive (Inbound Process)

📍 Ahmedabad | 🗓️ 6 Days | 💼 Exp: 0–5 yrs | 👩‍🎓 Freshers Welcome

✨ What You’ll Do:

📞 Handle inbound calls & emails

🤝 Resolve complaints & ensure satisfaction

💡 Guide customers with service info

📝 Maintain accurate documentation

✨ What We Need:

🎓 Graduate / PG (any field except Engg.)

🌐 Fluent in English, Hindi & Gujarati

🗣️ Strong verbal & vocal English skills

🏆 Right attitude, loyal & long-term vision

 Job DescriptionPosition: Sr Data Engineer – Databricks & AWS

Experience: 4 - 5 Years

Company Profile:

Exponentia.ai is an AI tech organization with a presence across India, Singapore, the Middle East, and the UK. We are an innovative and disruptive organization, working on cutting-edge technology to help our clients transform into the enterprises of the future. We provide artificial intelligence-based products/platforms capable of automated cognitive decision-making to improve productivity, quality, and economics of the underlying business processes. Currently, we are transforming ourselves and rapidly expanding our business.

Exponentia.ai has developed long-term relationships with world-class clients such as PayPal, PayU, SBI Group, HDFC Life, Kotak Securities, Wockhardt and Adani Group amongst others.

One of the top partners of Cloudera (leading analytics player) and Qlik (leader in BI technologies), Exponentia.ai has recently been awarded the ‘Innovation Partner Award’ by Qlik in 2017.

Get to know more about us on our website: http://www.exponentia.ai/ and Life @Exponentia.

​Role Overview: 

·         A Data Engineer understands the client requirements and develops and delivers the data engineering solutions as per the scope.

·         The role requires good skills in the development of solutions using various services required for data architecture on Databricks Delta Lake, streaming, AWS, ETL Development, and data modeling.

Job Responsibilities

•         Design of data solutions on Databricks including delta lake, data warehouse, data marts and other data solutions to support the analytics needs of the organization.

•         Apply best practices during design in data modeling (logical, physical) and ETL pipelines (streaming and batch) using cloud-based services.

•         Design, develop and manage the pipelining (collection, storage, access), data engineering (data quality, ETL, Data Modelling) and understanding (documentation, exploration) of the data.

•         Interact with stakeholders regarding data landscape understanding, conducting discovery exercises, developing proof of concepts and demonstrating it to stakeholders.

Technical Skills 

•         Has more than 2 Years of experience in developing data lakes, and datamarts on the Databricks platform.

•         Proven skill sets in AWS Data Lake services such as - AWS Glue, S3, Lambda, SNS, IAM, and skills in Spark, Python, and SQL.

•         Experience in Pentaho

•         Good understanding of developing a data warehouse, data marts etc.

•         Has a good understanding of system architectures, and design patterns and should be able to design and develop applications using these principles.

Personality Traits

•         Good collaboration and communication skills

•         Excellent problem-solving skills to be able to structure the right analytical solutions.

•         Strong sense of teamwork, ownership, and accountability

•         Analytical and conceptual thinking 

•         Ability to work in a fast-paced environment with tight schedules.

•         Good presentation skills with the ability to convey complex ideas to peers and management.

Education:

BE / ME / MS/MCA.

Roles & Responsibilities:

•             Ability to work as a member of a team assigned to design and implement solutions.

•             Data analysis - skills to conduct analysis and deliver recommendations to the team and customer.

•             Dashboard and Dataset development - develop dashboards and datasets that meet and exceed customer requirements.

•             Presentation skills - demonstrated ability to simplify complex situations and ideas and distil them into compelling and effective written and oral presentations.

•             Learn quickly - the ability to understand and rapidly comprehend new areas, functional and technical, and apply detailed and critical thinking to customer solutions.

•             Experience in vendor and/or project management

•             Strong problem solving capabilities to participate in complex strategic initiatives

Skills Experience:

•             Hands-on experience working with Tableau CRM,Force.com using Apex, triggers, Visualforce and LWC.

•             Experience in documenting data flows and mapping

•             Experience of preparing / transforming the data using custom SQL

•             Ability to understand the best way of visualizing complex datasets

•             Previous experience using Einstein Discovery is a plus.

•             Must have strong communication and collaboration skills

About Company

‘Good Good Piggy’ is an Ed-FinTech start-up that encourages the new generation to develop the life-skill of managing the entire money management equation digitally, because the future of money is digital. We recognize the importance of reinforcing good behaviour, habits and skills from a young age.

Job Description

We are looking for a React Native developer interested in building performant mobile apps on both the iOS and Android platforms. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

• Total Experience: 2 to 5 Years
• Notice Period: 30-45 Days
• Preferred Location: Delhi NCR
• Role: Full Stack Developer
• Industry Type: Ed-FinTech
• Employment Type: Full Time, Permanent
• Role Category: Software Development

Responsibilities

• Architect, build and maintain excellent React Native applications with clean code.
• Implement pixel perfect UI's that match designs.
• Implement clean, modern, smooth animations and transitions that provide an excellent user experience.
• Setup/configure CI/CD pipeline leveraging AWS native services or traditional tools (e.g. Jenkins, GitHub, Artifactory, SonarQube, etc)
• Deploy applications on AWS platform leveraging AWS platform services like EC2, EBS, S3, CodeArtifact etc
• Integrate third-party API's.
• Write unit and integration tests.
• Release applications to IOS and Google Play stores.
• Work with native modules when required.
• Work as part of a small team, which will include other React Native developers, a project manager, QA professional, and a designer.

Skills And Qualifications

• 2+ years of professional experience working with React Native.
• Experience working with Swift, Java required.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work.
• An understanding of React Native best practices and a commitment to following them.
• Ability to work through new and difficult React Native issues and contribute to libraries as needed.
• Working with Agile framework especially is necessary
• Organizational and leadership abilities
• Excellent communication skills
• Problem-solving aptitude

Education

B.Tech/B.E./MCA or Equivalent

• Experience with object-oriented design and languages
• Track record of building and delivering mission critical, 24x7 production software systems
• Experience architecting systems on AWS platform a strong plus
• Be able to deal with ambiguity and independently drive, design, and implement large scale software solution
• Proven track record of taking ownership and driving results on technical projects
• Ability to handle multiple competing priorities in a fast-paced environment
• Technical aptitude to quickly grasp complex technical issues and communicate directly with technical teams
• Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including coding standards, code reviews, source control management, build processes, testing, and operations

Responsibilities

• Develop and execute a long-term product roadmap and architecture while balancing short term commitments
• Handling the entire SDLC. 
• Own the architecture SCOT product platforms to drive business results. 
•  Be a visible leader to drive and own the architecture and design of some of the most advanced & complex software systems / products in the industry to create company wide impact 
•  Be an operational and technical leader with a passion for distributed systems, cloud service development, deployment and delivery. Accountable for solutioning, design, architecture, for the ease of evolution, quality of the systems, performance, scalability, availability characteristics, NFRs and limitations of the systems. Should be willing to be hands-on and spend time actively developing parts of the systems. 
•  Envision and develop the long-term architectural direction, with emphasis on platforms/ reusable components while adopting a nimble delivery process.
•  Establish structures and processes that ensure a high level of quality and reliability and extensibility of deliverables .
•  Drive the creation of next generation extensible web, mobile and fashion commerce platforms, security protocols, customisation and tools to support continuous scaling, internationalisation and platform extensions. 
•  Drives code and design reviews of components / systems / products in scope and drives the architectural governance for them 
•  Set directional paths for the department for adoption of new technology stacks for solving business problems 
• Work with product management, business stakeholders and other engineering leaders to help define mid-term, long-term roadmaps and shape business directions
•  Initiate and deliver leadership training within the engineering organisation and drive the growth of leaders to create a strong leadership bench.
• Follow coding standards, unit-testing, code reviews etc.
• Follow release cycles and commitment to deadlines. 
• Lead by example through innovation. 
• Build and nurture a team of software developers
•  Shape team goals by developing a deep understanding of our business processes and success criteria
•  Develop and execute a long-term architecture while balancing short term commitments
•  Work closely with the team to architect and develop the best technical design and approach to solve complex problems
• Effectively partner with engineering and non-engineering groups across the organization to deliver on own goals
• Work closely  to architect and develop the best technical design and approach to solve complex problems. 
• Take the accountability of the overall health of the products you build, and predictability of the deliverables
• Effectively partner with engineering, product and business stakeholders across the organization to co-define and deliver on goals.