Director of Customer Engagement

Job Description: Head – Pre-Sales

Location: Chennai

Experience: 12–15 years

Reporting To: Head – Sales & Marketing

Role Objective - lead and scale the pre-sales engine to drive qualified lead generation, conversion readiness, and seamless handover to sales — ensuring speed, quality, and consistency in customer engagement across all projects.

Key Responsibilities

1. Lead Management & Conversion Engine

Own end-to-end lead lifecycle (inbound, outbound, digital, channel partners)

Design and optimize lead qualification frameworks

Ensure speed-to-lead and response SLAs are met consistently

Drive lead-to-site visit and site visit-to-booking conversion improvement

2. Pre-Sales Operations & Process Excellence

Build and standardize pre-sales SOPs, scripts, and workflows

Establish call quality frameworks and audit mechanisms

Drive CRM discipline, data hygiene, and funnel visibility

Ensure zero leakage across the funnel

3. Team Leadership & Capability Building

Lead, hire, and scale high-performing pre-sales teams

Set daily/weekly targets and performance metrics

Coach team on objection handling, product pitch, and closure readiness

Drive a performance culture (not activity-based, outcome-based)

4. Marketing Alignment & Campaign Effectiveness

Work closely with marketing to improve lead quality

Provide real-time feedback on campaign performance

Influence targeting, messaging, and channel mix

5. Customer Experience & Engagement

Ensure consistent and high-quality first interaction experience

Design structured follow-up journeys

Minimize lead drop-offs and improve customer responsiveness

6. Analytics & Reporting

Track and report:

Lead source effectiveness

Conversion ratios (stage-wise)

Cost per qualified lead

Build predictive insights for demand and conversion trends

Key Metrics (KPIs)

Lead-to-site visit conversion %

Site visit-to-booking conversion %

Speed-to-lead (TAT)

Lead aging & follow-up adherence

Cost per qualified lead

CRM data accuracy %

Team productivity (per executive)

Must-Have:

12–15 years in real estate pre-sales / inside sales

Strong exposure to residential projects (apartments/villas/plots)

Proven track record of handling high-volume lead funnels

Hands-on experience with CRM systems (Salesforce, Zoho, etc.)

Strong team handling (10–30 members)

Good-to-Have:

Experience in digital-first lead environments

Exposure to channel partner ecosystems

Analytical mindset with data-driven decision making

Responsibilities:

• Collaborating with data scientists and machine learning engineers to understand their requirements and design scalable, reliable, and efficient machine learning platform solutions.
• Building and maintaining the applications and infrastructure to support end-to-end machine learning workflows, including inference and continual training.
• Developing systems for the definition deployment and operation of the different phases of the machine learning and data life cycles.
• Working within Kubernetes to orchestrate and manage containers, ensuring high availability and fault tolerance of applications.
• Documenting the platform's best practices, guidelines, and standard operating procedures and contributing to knowledge sharing within the team.

Requirements:

• 3+ years of hands-on experience in developing and managing machine learning or data platforms
• Proficiency in programming languages commonly used in machine learning and data applications such as Python, Rust, Bash, Go
• Experience with containerization technologies, such as Docker, and container orchestration platforms like Kubernetes.
• Familiarity with CI/CD pipelines for automated model training and deployment. Basic understanding of DevOps principles and practices.
• Knowledge of data storage solutions and database technologies commonly used in machine learning and data workflows.

What you need to have:

• 2-5 years of relevant work experience ideally in a fintech/payments/E-commerce/ tech environment with strong growth and analytics background
• 2+ years experience in maintenance & management of CRM platforms (customer.io/CleverTap experience is required)
• MBA or equivalent post-graduation, with at least two years of experience in digital marketing in B2C company
• Strong understanding of advertising tools like AdWords, Facebook Business Manager, Adobe AdCloud.
• Experience with/understand fundamentals of brand building and marketing i.e. audience mapping, positioning, media planning/media mix etc.
• Excellent written and verbal communication skills
• Prior startup experience is a plus    

Since 1988 Quicken has been the top personal management software for millions of

consumers. We pioneered a radically easier and faster way for people to manage their

household finances. Since then we’ve continued to focus on delighting customers and

making the Quicken product and experience better than ever.

Job Title: Lead Software Engineer-Quicken Cloud Services

Department: Product Development

Job Summary:

Quicken is the #1 personal finance management software with a 30-year heritage of helping

millions of individuals and families stay on top of their finances. We are going through a

transformation, as we recently completed the divestiture from Intuit, with a renewed focus on

product improvement, growth, and customer satisfaction. We are working on a strategy to

deliver awesome personal finance experience to our customers across Windows, Mac, iOS,

Android, and web. This is an opportunity to work in a customer-driven company with a

collaborative team that values technical excellence, innovation and creativity, while being

good to each other and having fun!

We’re looking for an experienced software engineer to be a key contributor developing

cloud- based services that will drive the future of the business. You will join our small and

dynamic Cloud Services team, using the latest technology and tools to build high-quality,

cross-platform solutions that delight our customers. Come make an impact on the technical

future of Quicken!

Responsibilities:

• Lead Software Engineer is a technical hands-on role, with responsibilities ranging

from being at the vanguard of solving technical problems to venturing into

unchartered areas of technologies to solve complex problems.

• Directly responsible for consistently delivering scalable, production-ready backend/

server code in Java for Quicken Cloud Services, from design and development

to deployment, as a member of an Agile development team.

• Partner closely with a cross-functional team of key stakeholders (Engineers,

Architects, Product Managers, QA, Operations, and Business Partners) to

understand requirements, design and implement end- to-end solutions that meet

user needs as well as engineering/operational/business goals.

• Display a passion for high quality, continuous learning, and experimenting and

applying cutting-edge technology, software paradigms, and engineering process

improvements, while fostering this culture across the team.

Qualifications:

• 7 - 10 years of software engineering experience, including a successful track record

developing customer-facing SaaS/PaaS products.

• 3+ years working experience in core Java and Spring Framework, preferably with

Spring Cloud Netflix.

• 3+ years working experience within microservice architecture, specifically utilizing

REST services, XML, and JSON.

• Excellent programming discipline: data structures, complexity analysis, objectoriented

principles, design patterns, and unit testing.

• Experience with API development and integration with 3rd-party services is

preferred.

• Excellent understanding of O/R mapping concepts and tools (Hibernate, JPA).

• Fluent in Databases/SQL (MySQL experience preferred).

• Extensive experience in developing applications which are deployed in AWS. AWS

experience is a big plus.

• Team player with can-do attitude to independently own and drive projects.

• Strong experience working with an Agile development team with rapid iterations.

• Ability to work well with others in a geographically distributed team.

• Exceptional verbal and written communication skills.

• BS/MS in Computer Science/Engineering or equivalent

What we offer:

• Competitive salary and performance bonus

• Equity

• Amazing culture, strong believers in Autonomy/Mastery/Purpose

• Customer-driven, we make money by building the best products for our users. No

confusion about how to win – build amazing products!

• Ability to work with and manage incredible talent

• Highly recognizable brand in US

1. Motivate team to promote/sell professional courses like Data Science, Block chain, PMP, AI/ML, Six Sigma, SCRUM etc
2. Leaders who have catered in U.S, Canada, Malaysia, Singapore and UAE that too into education industry will be highly preferred
3. Building highly optimized team through successful employee engagement and retention, addition to that, also taking care of the growth, development, and goal achievement
4. Optimizing revenue of the organization by meeting weekly/monthly/quarterly targets
5. Leader will be responsible to work on customer success for client retention and satisfaction.
6. Setting of targets for the team to ensure they achieve team goals.
7. Identification & resolution of day-to-day operational challenges
8. Allocate work to team & coordinates resources to meet short-term/long term goals
9. Use of effective tact and diplomacy to exchange information and handle sensitive issues within the team
10. Conduct daily/weekly hurdles to monitor/motivate team
11. Maintaining strong connection/relation with the team to ensure smooth operation
12. Assign work to team members based on their skills, development needs and availability
13. Training team member to ensure every recourse/team member is tuned to perform best tasks as per individual capability and skills.
14. Handle escalation of the client to provide customer success
15. Remains up-to-date on the current trends and issues in customer education, and is familiar with competency frameworks and curriculum development

Purpose of the Role

To design and implement the Peak AI System - a new system of intelligence that allows companies to quickly harness the power of AI.

The Opportunity 

Peak is a Decision Intelligence company - we are on a mission to help organisations use AI to make great commercial decisions, all the time. Just as importantly, we are also focused on building an amazing company - one where we truly value our people & culture, and strive to make an amazing and diverse place to work. Our recent Best Companies award & 3 star accreditation for being one of the top companies to work for is a testament to this.

We have ambitious plans over the coming years; to launch and lead a new category of technology (Decision Intelligence), expand our operations and create the best working culture possible. This is a great time to join Peak and the Engineering team, as we start the next stage of our global growth.

The Role

Based in Jaipur or Pune, you will be working in a collaborative team on cutting edge technologies in a supportive and dynamic environment. Ultimately you are responsible for building the CODI and on-boarding new clients - this involves:

• Developing a good understanding of the solutions which Peak delivers, and how these link to Peak’s overall strategy.
• Making suggestions towards shaping the strategy for a feature and engineering design.
• Managing own workload and usually delivering unsupervised. Accountable for their own workstream or the work of a small team.  
• Understanding Engineering priorities and is able to focus on these, helping others to remain focussed too
• Acting as the Lead Engineer on a project. Helps ensure others follow Peak processes, such as release and version control.
• An active member of the team, through useful contributions to projects and in team meetings.
• Supervising others. Deputising for a Lead and/or support them with tasks. Mentoring new joiners/interns and Masters students. Sharing knowledge and learnings with the team.

Required Skills and Experience

We are building a team of world class engineers in Jaipur / Pune, essentially we are looking for bright, talented engineers looking to work at the cutting edge of practical AI.

• Acquired strong proven professional programming experience.
• Strong command of Algorithms, Data structures, Design patterns, and Product Architectural Design.
• Good understanding of DevOps, Cloud technologies, CI/CD, Serverless and Docker, preferable AWS 
• Proven track record and expert in one of the field - DevOps/Frontend/Backend
• Excellent coding and debugging skills in any language with command on any one programming paradigm, preferred Javascript/Python/Go
• Experience with at least one of the Database systems - RDBMS and NoSQL
• Ability to document requirements and specifications.
• A naturally inquisitive and problem-solving mindset.
• Strong experience in using AGILE or SCRUM techniques to build quality software.
• Advantage: experience in React js, AWS, Nodejs, Golang, Apache Spark, ETL tool, data integration system, certification in AWS, worked in a Product company and involved in making it from scratch, Good communication skills, open-source contributions, proven competitive coding pro

As well as doing great work we have created an award-winning, fun and exciting workplace that people love to be, we are looking for people to join us who share our values and are:

• Open - Always up for new ideas and able to take and give feedback in a positive way.
• Driven - sets high goals, doesn’t give up, and make sacrifices to ensure that their job gets done on time and meets/exceeds expectations.
• Curious - Aware of new technologies and uses them to make new improvements in the Engineering ecosystem.
• Smart - Innovative and thinks out of the box, in difficult situations finds a way to succeed no matter what 
• Responsible - takes ownership of tasks given and has a strong work ethic.

About Peak

In an age when becoming AI and data-driven is one of the most important things businesses must do, it can also be one of the most challenging. That’s where Peak comes in; our CODI system sits at the heart of our client’s businesses, enabling the rapid unification, modelling and - most importantly - use of data - helping decision makers make great commercial decisions, powered by AI. All supported by our world-class data science team.

Founded in 2014, Peak has grown rapidly, in line with the world’s fastest growing SaaS companies, winning numerous awards and attracted significant funding to support the company’s ongoing investment in machine learning and AI technologies. All to further our mission to become the world’s leading AI System business.

Headquartered in Manchester, Peak also has offices in London, Edinburgh, Jaipur and Brisbane. Our clients include some of the world's leading retailers, manufacturers and well-known brands alongside highly innovative and tech-savvy businesses. Peak is an Amazon Web Services (AWS) Partner, and holds Machine Learning Competency and Retail Competency status.