Sales Manager

Key Responsibilities & KPIs

·        Support execution of VCFO service activities at client locations.

·        Coordinate with internal finance team and client staff.

·        Assist in process audits, MIS, and financial compliance tracking.

·        Prepare and maintain documentation as per firm and client requirements.

·        Ensure timelines and deliverables are met for ongoing VCFO projects.

Key Competencies

·        Basic knowledge of accounting and finance

·        Strong communication and people skills

·        Client-first approach and professional conduct

·        Result-driven and goal-oriented

·        Ability to manage micro tasks and follow up on project steps

·        Good listening and reporting skills

Key Responsibilities

Campaign Management

• Design/optimize LinkedIn ad campaigns for B2B tech lead gen, managing budgets up to $100K+.
• Develop audience strategies (job titles, company size, industry) and refine via performance analysis.
• Execute manual bids, retargeting, and A/B tests across formats (Sponsored Content, InMail, Text Ads).

Audience & Data

• Build custom audiences using client CRM/data and implement exclusion rules.
• Track lead quality and align targeting with sales pipelines.

Performance & Reporting

• Deliver client reports tying metrics (CTAs, conversions) to business goals.
• Collaborate with Google Ads teams for cross-platform attribution.

Technical Setup

• Implement LinkedIn Insight Tag, CRM integrations, and conversion tracking.

Requirements

• 2–3 years agency experience managing LinkedIn Ads for B2B / B2B SaaS clients.
• Proven skill in scaling budgets, manual bidding, and CRM integration.
• Strong analytics and ability to present data-driven insights to clients.
• Experience working with teams from Google Ads, SEO, or marketing automation.
• Knowledge of B2B sales cycles.

Why Join?

Drive measurable ROI for tech innovators and master LinkedIn’s evolving B2B ad ecosystem in a data-first environment.

What we offer:

• CTC: 7 LPA - 9 LPA
• Hybrid
• Health insurance
• Growth opportunities working directly with founders with backgrounds in Investment Banking, B2B SaaS leadership, and IIT/ISB education

If you're detail-oriented, results-driven, and excel at client management, we want to hear from you

Job Title: Lead Generation Trainee 

Overview: As a Lead Generation Trainee, you will be responsible for identifying and qualifying potential leads for our company's products or services. This entry-level position provides an opportunity to learn and develop essential skills in sales and marketing, particularly in the area of lead generation. You will work closely with the lead generation team to understand strategies, tools, and techniques used to identify and engage potential customers. 

Qualifications: 

• Bachelor's degree in business administration, Marketing, or related field preferred. 
• Strong communication skills, both verbal and written. 
• Ability to research and analyze information effectively. 
• Excellent organizational and time management abilities. 
• Basic understanding of sales and marketing concepts. 
• Proficiency in Microsoft Office suite and CRM software. 
• Self-motivated with a desire to learn and grow in the field of lead generation. 

Benefits: 

• Comprehensive training and mentorship program. 
• Opportunity for career advancement within the lead generation team or other areas of the company. 
• Competitive salary and benefits package. 
• Exposure to cutting-edge tools and technologies used in lead generation. 
• Dynamic and collaborative work environment.

• Deliver full-cycle Tableau development projects, from business needs assessment and data discovery, through solution design, to delivery to client.

• Enable our clients and ourselves to answer questions and develop data-driven insights through Tableau.

• Provide technical leadership and support across all aspects of Tableau development and use, from data specification development, through DataMart development, to supporting end-user dashboards and reports.

• Administrate Tableau Server by creating sites, add/remove users, and provide the appropriate level access for users.

• Strategize and ideate the solution design. Develop UI mock-ups, storyboards, flow diagrams, conceptual diagrams, wireframes, visual mockups, and interactive prototypes.

• Develop best practices guidelines for Tableau data processing and visualization. Use these best practices to quickly deliver functionality across the client base and internal users.

• Degree in a highly-relevant analytical or technical field, such as statistics, data science, or business analytics.

· 5+ years as a Tableau developer and administrator.

· Extensive experience with large data sets, statistical analyses, and visualization as well as hands-on experience on tools (SQL, Tableau, Power BI).

· Ability to quickly learn and take responsibility to deliver.

You will:

• Create highly scalable AWS micro-services utilizing cutting edge cloud technologies.
• Design and develop Big Data pipelines handling huge geospatial data.
• Bring clarity to large complex technical challenges.
• Collaborate with Engineering leadership to help drive technical strategy.
• Project scoping, planning and estimation.
• Mentor and coach team members at different levels of experience.
• Participate in peer code reviews and technical meetings.
• Cultivate a culture of engineering excellence.
• Seek, implement and adhere to standards, frameworks and best practices in the industry.
• Participate in on-call rotation.

You have:

• Bachelor’s/Master’s degree in computer science, computer engineering or relevant field.
• 5+ years of experience in software design, architecture and development.
• 5+ years of experience using object-oriented languages (Java, Python).
• Strong experience with Big Data technologies like Hadoop, Spark, Map Reduce, Kafka, etc.
• Strong experience in working with different AWS technologies.
• Excellent competencies in data structures & algorithms.

Nice to have:

• Proven track record of delivering large scale projects, and an ability to break down large tasks into smaller deliverable chunks
• Experience in developing high throughput low latency backend services
• Affinity to spatial data structures and algorithms.
• Familiarity with Postgres DB, Google Places or Mapbox APIs