11+ Consultative Selling Jobs in Pune | Consultative Selling Job openings in Pune

Section A: Purpose of the Role:

To engage with CXOs across the world’s most successful companies and successfully sell new business opportunities to ensure MnM’s growth.

Section B: Job Description

B.1 Responsibilities:

• Generate sales revenue in line with the MnM’s objectives and goals
• Ensure strong focus is to hunt and sell to net new logos / net new client accounts within defined timelines
• Identify key decision makers and act as a strategic partner to C-level and senior executives within an assigned organization to drive revenues

to understand their issues/needs/priorities through a consultative selling approach

• Collaborate with internal resources (such as Research, Client Services) and external network to prioritize and penetrate key accounts; quickly build relationships with key stakeholders to drive revenues
• Leverage CRM as a tool to capture accurate sales pipeline management, develop strategic territory mapping and maintain forecast
• Manage sales forecast accuracy on a monthly/quarterly/annual basis and ensure that sales pipeline remains full of qualified leads & prospects
• Own the full sales cycle from prospecting through close and own the overall allocated sales quota
• Follow determined Sales best practices developed through collaboration with peers or delivered by Sales Learning and Development team.
• Maintain compliance in utilizing internal sales enablement tools and management processes
• Attend and participate actively on all internal team meetings. 

B.2 Communication  

• Internal Stakeholders: Internal teams such as Research, Sales, Web Marketing, Finance and Accounts, Events and Conferences, Human Resources
• External Stakeholders: Clients, Industry Experts, Government Agencies, Academia

Section C: Job Specifications

C.1 Skills:

• Excellent verbal and written communication skills

• Ability to engage with CXO, business leaders and build credibility and relationships
• Strong business development skills, telesales, outbound calling, communication and negotiation skills whenever required.
• Highly motivated individual with a passion for sales and an unyielding drive to succeed in an international selling environment
• Ability to comprehend and problem solve by thinking and acting quickly on your feet.

• Cultural Sensitivity in engaging with global clients

• Entrepreneurially minded individual with positive mindset capable of converting adversity into opportunity

C.2 Education:

• Essential: Bachelor’s degree
• Desirable: Master’s in Business Administration (MBA)

C.3 Prior Experience:

• 3+ years’ experience in product/solution/enterprise sales

• A consistent track record of overachievement in sales targets

Data Integration Developer Role

Responsibilities:

§ As a Data Integration Developer/Sr Developer, be hands-on ETL/ELT data pipelines, Snowflake DWH, CI/CD deployment Pipelines and data-readiness(data quality) design, development, implementation and address code or data issues.

§ Experience in designing and implementing modern data pipelines for a variety of data sets which includes internal/external data sources, complex relationships, various data formats and high-volume.

§ Experience and understanding of ETL Job performance techniques, Exception handling,

Query performance tuning/optimizations and data loads meeting the runtime/schedule time SLAs both batch and real-time data uses cases.

§ Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions.

§ Demonstrate strong collaborative experience across regions (APAC,EMEA and NA) to come up with design standards, High level design solutions document, cross training and resource onboarding activities.

§ Good understanding of SDLC process, Governance clearance, Peer Code reviews, Unit Test Results, Code deployments, Code Security Scanning, Confluence Jira/Kanban stories.

§ Strong attention to detail during root cause analysis, SQL query debugging and defect issue resolution by working with multiple business/IT stakeholders.

Educational Qualifications:

BTech in Computer Science or other technical course of study required.

Experience:

§ A minimum of 4-10 years of experience into data integration/orchestration services, service architecture and providing data driven solutions for client requirements

§ Experience on Microsoft Azure cloud and Snowflake SQL, database query/performance tuning.

§ Experience with Qlik Replicate and Compose tools(Change Data Capture) tools is considered a plus

§ Strong Data warehousing Concepts, ETL tools such as Talend Cloud Data Integration tool is must

§ Exposure to the financial domain knowledge is considered a plus.

§ Cloud Managed Services such as source control code Github, MS Azure/Devops is considered a plus.

§ Prior experience with State Street and Charles River Development ( CRD) considered a plus.

§ Experience in tools such as Visio, PowerPoint, Excel.

§ Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus.

§ Strong SQL knowledge and debugging skills is a must.

Salesforce Developer - LWC & Sales cloud & service cloud

having 5 yrs exp in Salesforce development

Education- BE BTech MTech MCA

Location: Pune , Bangalore

Position Overview:

The AI Tech Lead will architect and guide the implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications. The role requires strong architectural judgment, hands-on expertise in AI/LLM systems, and the ability to define high-performance, scalable best practices.

Key Responsibilities:

• Architect and guide implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications

• Design and develop distributed, provider-agnostic AI architectures with performance guarantees including low latency, resilient failover, distributed scaling, and cost-efficiency

• Define architectural best practices for GenAI systems including prompt design, context shaping, fallback logic, caching, and real-time agent orchestration

• Lead AI model governance including evaluation and selection frameworks for multiple LLM providers, routing logic, benchmarking, and cost management

• Establish and monitor KPIs for LLM quality, latency, reliability, grounding accuracy, and system stability

• Ensure data security practices for handling of voice and transcript data, applying PII-safe methods, and supporting multi-tenant data isolation

• Own knowledge integration and RAG architecture including vector databases, retrieval strategies, chunking policies, and hybrid grounding methods

• Continuously evaluate new model capabilities and AI technology trends

Required Skills:

• Architectural judgment and hands-on expertise in AI and LLM systems • Experience designing scalable and low-latency AI architectures

• Knowledge of multi-provider LLM integration and orchestration

• Understanding of distributed systems, microservices, and load balancing

• Strong grounding in AI model governance and benchmarking

• Awareness of data security and privacy best practices

• Experience with retrieval-augmented generation (RAG) and vector databases

Preferred (Bonus) Skills:

• Experience with function-calling and knowledge graphs

• Familiarity with hybrid grounding and retrieval enhancement strategies • Experience with voice automation systems (STT/TTS pipelines). give me in a proper formate

The role is with a Fintech Credit Card company based in Pune within the Decision Science team. (OneCard )

About

Credit cards haven't changed much for over half a century so our team of seasoned bankers, technologists, and designers set out to redefine the credit card for you - the consumer. The result is OneCard - a credit card reimagined for the mobile generation. OneCard is India's best metal credit card built with full-stack tech. It is backed by the principles of simplicity, transparency, and giving back control to the user.

The Engineering Challenge

“Re-imaging credit and payments from First Principles”

Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies.

Purpose of Role :

- Develop and implement the collection analytics and strategy function for the credit cards. Use analysis and customer insights to develop optimum strategy.

CANDIDATE PROFILE :

- Successful candidates will have in-depth knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques. They will be an adept communicator with good interpersonal skills to work with senior stake holders in India to grow revenue primarily through identifying / delivering / creating new, profitable analytics solutions.

We are looking for someone who:

- Proven track record in collection and risk analytics preferably in Indian BFSI industry. This is a must.

- Identify & deliver appropriate analytics solutions

- Experienced in Analytics team management

Essential Duties and Responsibilities :

- Responsible for delivering high quality analytical and value added services

- Responsible for automating insights and proactive actions on them to mitigate collection Risk.

- Work closely with the internal team members to deliver the solution

- Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution

- Use analysis and customer insights to develop value propositions for customers

- Maintain and enhance the suite of suitable analytics products.

- Actively seek to share knowledge within the team

- Share findings with peers from other teams and management where required

- Actively contribute to setting best practice processes.

Knowledge, Experience and Qualifications :

Knowledge :

- Good understanding of collection analytics preferably in Retail lending industry.

- Knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques and market trends

- Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Multiple Regression, LOGIT, PROBIT, time- series modelling, CHAID, CART etc.

- Knowledge of Machine learning & AI algorithms such as Gradient Boost, KNN, etc.

- Understanding of decisioning and portfolio management in banking and financial services would be added advantage

- Understanding of credit bureau would be an added advantage

Experience :

- 4 to 8 years of work experience in core analytics function of a large bank / consulting firm.

- Experience on working on Collection analytics is must

- Experience on handling large data volumes using data analysis tools and generating good data insights

- Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to technical and non-technical audiences

- Excellent communication, presentation and writing skills Strong interpersonal skills

- Motivated to meet and exceed stretch targets

- Ability to make the right judgments in the face of complexity and uncertainty

- Excellent relationship and networking skills across our different business and geographies

Qualifications :

- Masters degree in Statistics, Mathematics, Economics, Business Management or Engineering from a reputed college

• Align with product managers, business analysts, developers, and other stakeholders to gather product inputs.
• Understand and decipher user journeys while drafting product flows.
• Be able to accept creative feedback and inculcate the same in their writing.
• Highly creative with excellent communication and team player abilities.
• Understand the Transportation industry.
• Research fintech industry snippets (combining online sources, interviews, and studies).
• Prepare well-structured product flows using research, writing techniques, and logic.
• Coordinate with marketing and design teams to illustrate product draft.
• Ensure all-around consistency (style, fonts, images, and tone).

• We are looking for someone with 3-9 years of overall working experience as Content writer.
• Bachelors/Master’s degree in any discipline.
• Ability to meet deadlines and willingness to explore new domains.
• Proven work experience as a Content Writer, Copywriter, or similar role.
• A team player willing to do what it takes.
• Experience doing research using multiple sources.
• Familiarity with product writing and its nuances.
• Able to create audio/video content for product.
• Excellent writing and editing skills in English.
• Ability to communicate technical aspects to people with non-IT background.

ENGINEER / SR ENGINEER– JAVA/ JEE TECHNOLOGIES

 PUNE

EXPERIENCE –  4+ YEARS (4-12 YEARS) EXPERIENCE IN JAVA/ JEE TECHNOLOGIES.

TECHNOLOGY/SKILLS – JAVA1.9, SPRING BOOT, WEB SERVICES, ORACLE, HTTP PROTOCOL, WEB PROXY, JUNIT, XML, JSON

QUALIFICATION – B.E, BTECH, BSC, BCA, BCS OR EQUIVALENT POST-GRADUATION IN ANY BRANCH PREFERABLY IN E&TC, COMPUTERS

OTHER TOOLS USED – ECLIPSE, JIRA, CONFLUENCE, MAVEN, JENKINS, GIT/ BITBUCKET (SOURCE VERSION CONTROL).

SOFT SKILLS – SELF-MOTIVATED, FOCUSED, GOOD TEAM PLAYER, POSITIVE ATTITUDE, GOOD COMMUNICATION SKILLS – WRITTEN AND VERBAL WITH PRODUCT MANAGEMENT, INTERNAL IT AND STAKEHOLDERS.

NICE TO HAVE – KNOWLEDGE OF CRYPTOLOGY, HSM AND KEY MANAGEMENT / PKI / X509, XML SIG /SML ENC, SMART CARD OPERATING SYSTEM, TELECOMMUNICATION (GSM) AND ELECTRONIC PAYMENT SYSTEM, PROVEN KNOWLEDGE TO WORK IN PROCESSES ACCORDING TO CMMI (LEVEL 3).

DETAILS – GOOD TO HAVE ATTRIBUTES:

• KNOWLEDGE OF SOFTWARE ARCHITECTURE, UNDERSTANDING AND PREPARING SEQUENCE DIAGRAMS, ARCHITECTURE, AND PROCESS DOCUMENTATION.
• EXPERIENCE IN ENTERPRISE APPLICATIONS IN THE PAYMENT / BANKING DOMAIN PREFERRED.
• ANALYSIS, DESIGN AND IMPLEMENTATION OF SMART CARD APPLICATIONS FOR THE PAYMENTS SECTOR (MASTERCARD, VISA.)
• TELECOM/ EMBEDDED SYSTEMS OR SMART CARDS BACKGROUND.
• IDENTIFY AREAS FOR IMPROVEMENT TO ACHIEVE - OPERATIONAL EFFICIENCY, CUSTOMER SATISFACTION, AND VALUE ADDITION.
• PREFERABLY NO TRAVEL CONSTRAINTS.
• HIGH / LOW-LEVEL DESIGNING.

Job Title:   Python Developer

Job Location: Pune ( Baner)

Experience: 4 to 8 years

Notice Period: 1 Month or Less

Skills: Python (Django, Flask), MySQL, Strong focus on OOPS and Architecture, Bitbucket/GitHub, NoSQL

Technical Requirements:

• Experience in developing web applications and APIs(REST, XML, other open sources)
   
• Strong programming foundation in Python, MYSQL & OOPS Experience in Django/Flask
• Experience & Good understanding of HTML5, CSS3, Bootstrap, Ajax, JS etc while experience on Angular, Node JS will be an added advantage.
• Solid exposure of API integrationsand familiar with various design & architectural patterns.
   
• In depth knowledge of Source Code Repository and experience working with Bit-bucket.
• Experience working on Apache HTTP or any other web/app server.
• Hands on experience in DB design, Architecture, coding, unit testing and debugging.
• Experience working in an Agile development environment.
• Sound in data structure analysis and algorithm design.
• Ensure cross-platform compatibility of information retrieved from web services on Android and iOS platforms, in terms of Push Notifications, platform-specific issues, etc
• Good knowledge of relational databases, version control tools and of developing web services.
• Strong understanding of the software development life cycle and best practices

Roles and Responsibilities:

• Should be a problem solver with an attitude to contribute towards the success of Team/Project as well as organization.
• Should be able to guide other members in the team
• Should take initiatives to improve code quality standards and team efficiency.
• Should be able to Participate in the requirements gathering and come up efficient solutions
• Should be able to Efficiently estimate on high and low level along with assessing risk items