Finance Executive

Job Description – AI Tech Lead

Location: Bangaluru

Experience: 10+ Years

Function: AI Center of Excellence (CoE)

Reporting To: Senior Vice President – CX / Head of AI CoE

We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.

The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.

2. Key Responsibilities

A. Solution Architecture & Strategy

• Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
• Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
• Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
• Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.

B. Project Delivery & Execution Leadership

• Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
• Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
• Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
• Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.

C. Technical Hands-on Expertise

• Architect and build complex AI systems involving:
• Large Language Models (LLMs) & GenAI apps
• Agentic workflows and autonomous task orchestration
• Predictive modeling, forecasting, optimization, and statistical modeling
• Knowledge graphs, vector databases, embeddings
• Data engineering pipelines (ETL/ELT) and cloud-native architectures
• Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.

D. Team Leadership & Mentoring

• Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
• Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
• Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.

E. Stakeholder & Client Management

• Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
• Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
• Support pre-sales with solutioning, effort estimation, and technical presentations.

3. A. Technical Skills

• Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
• Hands-on experience building applications using:
• LLMs, RAG, fine‑tuning, prompt engineering
• Autonomous AI agents & multi-agent systems
• Predictive ML models (Regression, Classification, Clustering, NLP, CV)
• Expertise in microservices architecture, API design, scalable deployments.
• Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
• Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.

B. Functional & Domain Skills

• Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
• Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.

C. Leadership & Soft Skills

• Strong team leadership and mentoring experience.
• Excellent communication, client-facing abilities, and stakeholder management skills.
• Strong decision-making, problem-solving, and delivery ownership.

4. Qualifications

• Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
• 10–15 years total experience with at least 5+ years leading AI/ML projects.
• Demonstrated success delivering large-scale AI programs in enterprise environments.
• Certifications in AI/ML, cloud, or architecture (preferred).

Key Responsibilities

Handle customer queries via phone calls, emails, and chat support.

Provide timely and accurate solutions to customer concerns.

Maintain a high level of customer satisfaction and service quality.

Escalate complex issues to the relevant teams and ensure proper follow-up.

Record and update customer interactions in CRM/support systems.

Coordinate with internal teams to resolve customer issues efficiently.

Provide customer training and guidance on product features, processes, and usage to enhance customer experience and satisfaction

Assist customers with product-related information and troubleshooting.

Prepare customer support reports and feedback summaries.

Required Skills

Minimum 2+ years of experience in Customer Support, Client Servicing, or Customer Success.

Excellent verbal and written communication skills in English.

Strong problem-solving and customer-handling abilities.

Ability to manage multiple customer requests simultaneously.

Good interpersonal and relationship-building skills.

Basic knowledge of CRM and ticketing tools.

Positive attitude, patience, and a customer-centric approach.

Qualification

Bachelor's degree in any discipline.

Excellent communication and presentation skills.

Proficiency in MS Office and email communication.

Job Details

- Job Title: Regional Sales Manager

- Industry: SAAS

- Function: Sales/Business Development

- Experience Required: 7-12 years

- Employment Type: Full Time

- Job Location: Mumbai

- CTC Range: Best in Industry

Preferred Skills: Excellent Communication & Stakeholder Management, Solution Selling & Negotiation, Enterprise Selling, Revenue Ownership, Pipeline Control, Team Scaling

Criteria:

• Candidate must be from the SaaS industry only.
• Minimum 7 years of on-field enterprise sales experience in India.
• Strong experience in complex IT / SaaS / CPaaS / AI solution selling.
• Consistent achievement of ₹10 Cr+ annual revenue targets in the last 2–3 years.
• Experience selling into Healthcare and Fintech/BFSI sectors.
• Experience managing 2–5 on-field sales professionals, along with working as an Individual Contributor.
• Ability to independently generate pipeline, close enterprise deals, and grow existing account.

Job Description 

Role: Regional Sales Manager – West & South, India

Base Location: Mumbai

Experience: 7–12 Years

Annual Quota (2026): ₹3–5 Crores

Role Overview

We are looking for a high-performing on-field sales leader to drive revenue across West and South India.

This is a hands-on role:

• Initially an individual contributor (own selling)
• Within 6–12 months, build and manage a team of 2–4 on-field sales reps

The role requires strong experience in complex IT / CPaaS / Conversational AI solution selling, enterprise stakeholder engagement, and consistent revenue achievement.

Key Responsibilities

• Drive regional revenue across Mumbai, Pune, Bangalore, and surrounding territories.
• Own direct sales initially and close enterprise deals independently.
• Develop and execute regional sales strategy aligned with company goals.
• Identify and close opportunities in Hospitals, Clinics, Fintech, and D2C sectors.
• Lead solution-led sales engagements including architecture discussions, integrations, and PoCs.
• Manage both hunting (new acquisition) and farming (account growth).
• Hire and manage a team of 2–4 on-field sales professionals.
• Maintain strong pipeline visibility and accurate forecasting.
• Drive negotiations, pricing discussions, and contract closures.
• Travel extensively across customer locations and company offices.

Ideal Candidate Profile

• 7+ years of on-field enterprise sales experience in India.
• Proven expertise in complex IT / SaaS / AI / CPaaS solution selling.
• Strong experience selling into Healthcare and BFSI/Fintech sectors.
• Ability to engage CXOs, Marketing Heads, IT Leaders, and Operations teams.
• Consistent achievement of ₹10 Cr+ annual targets in recent years.
• Experience managing small sales teams (2–5 reps).

Preferred Background

• Small to mid-size IT Services / AI companies

Role & Responsibilities

Lead and mentor a team of data engineers, ensuring high performance and career growth.

Architect and optimize scalable data infrastructure, ensuring high availability and reliability.

Drive the development and implementation of data governance frameworks and best practices.

Work closely with cross-functional teams to define and execute a data roadmap.

Optimize data processing workflows for performance and cost efficiency.

Ensure data security, compliance, and quality across all data platforms.

Foster a culture of innovation and technical excellence within the data team.

• Work directly with enterprise customers to replicate, troubleshoot, and resolve complex technical issues
• Build out a growing technical team distributed across the Asia-Pacific region with core support process and skills
• Work with our developers to identify defects and opportunities for product improvement
• Improve the serviceability of the product by testing new features and developing tools to scale our deployments and auto-support infrastructure
• Define and inspire changes to our product with our development engineering team based on feedback from customers and partner implementations
• Develop and contribute to internal and external knowledge bases
• Provide support on weekdays and also off-hours on an as-needed and scheduled rotational basis
• Be a champion for our customers. Go above and beyond to ensure customers are getting the most out of their investment in the company platform.

You'll need:

• Excellent written and verbal communication skills – you’re able to work with a wide variety of people and collaborate with geographically distributed teams and effectively communicate everything from data points to critical feedback
• Entrepreneurial spirit and are not afraid to take on new challenges
• Customer Obsession – you are passionate about delivering a high-quality support experience and providing customers with the tools they need to succeed. You judge our own success by the success of the team and the happiness of our customers.
• Professional experience troubleshooting at least five of the following: Linux Sysadmin experience, Kubernetes, ansible, Postgres, MongoDB, MySQL, Cassandra, Database Administration, management of distributed systems, network troubleshooting including tcpdump, query performance, performance troubleshooting with tools like perf and strace
• Well recommended candidates will have experience scripting and writing code in Python, Bash, and Java, or have some full-stack web development experience.
• 12+ years in a technical support role required
• Prior experience as a technical lead preferred

• Our growing company is in need of a resourceful Business Development Executive to develop and implement growth opportunities in existing and new markets.
• We’re searching for professionals that have a solid track record of creating long-term value for organizations.
• First and foremost, we’re looking for a leader who understands how to leverage real data and capitalize on business trends and opportunities.
• We’re looking for managers who are customer-obsessed and ready to solve the changing needs of our clients.
• Candidates should have strong communication and leadership skills, as well as the ability to manage a diverse team in an evolving industry landscape.
• Successful applicants should also be willing to travel.