Brand/Marketing Manager

Strong Enterprise B2B Corporate Sales Leader Profile selling Employee Health Benefits, Wellness or Group Insurance solutions (Domestic, West region)

2

Mandatory (Experience) – Must have 8+ years of B2B sales experience selling to CHROs, HR leaders, Benefits Heads, Total Rewards Team and corporate decision-makers

3

Mandatory (Domain and Company) – Must have 5+ years of experience in enterprise corporate sales selling solutions such as group health insurance, OPD, wellness, preventive health and employee benefits to corporates

4

Mandatory (Hunter and Closer) – Must drive the full enterprise sales cycle end to end, from prospecting and pipeline building through consultative solutioning, negotiation and closure, and close deals personally rather than handing them to the team

5

Mandatory (Network) – Must have a ready network of enterprise and CXO contacts (CHRO, CFO, CEO, CIO, Procurement) they can approach directly to open and close deals

6

Mandatory (Market) – Must have sold into large enterprise and mid-market corporate accounts (GCCs, IT-ITES, manufacturing, BFSI, pharma) in India

7

Mandatory (Leadership) – Must have built and led a sales team of 5+, owning forecasting and pipeline discipline

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Mandatory (Communication) – Must have elite verbal and written communication, executive presence, storytelling and presentation skills, fluent in English

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Mandatory (Stability) – Must show 2+ years per organisation with no significant gaps across the most recent 3+ years

10

Mandatory (Company) – Health InsuranceTech, InsuranceTech having Healthcare Insurance, TPAs etc

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Mandatory (Note) – Must be based in or open to relocating to Mumbai (Andheri); the role owns the West region (Mumbai, Pune, Ahmedabad, not restricted)

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Preferred (Education) – MBA

Education:

•Bachelor’s degree in Computer Science, IT Infrastructure Engineering, or a related field

•Certifications in cloud computing (AWS, Azure, GCP), MLOps, or DevOps (preferred)

Experience:

•8+ years of experience in IT Infrastructure, Cloud Computing, or AI Systems Architecture

•Hands on experience in AI infrastructure design, cloud-based AI solutions, or MLOps

•Expertise in managing AI workloads across cloud and hybrid environments.

•Proven track record in scaling AI infrastructure for large enterprises

•Strong experience in Kubernetes, containerization, and orchestration tools

•Experience in optimizing AI workloads for performance and cost efficiency

Skills :

•Expertise in AI Infrastructure & Cloud Architecture

•Strong Understanding of AI Model Deployment & MLOps

•Advanced Proficiency in Kubernetes & AI Workload Orchestration

•Hands-on Experience with Cloud Platforms (AWS, Azure, GCP)

•Proficiency in Infrastructure as Code (Terraform, Ansible)

•AI Security & Compliance Knowledge

•AI Infrastructure Cost Optimization Strategies

•Performance Tuning for AI Systems & Workloads

Role Description:

* Lead generation: Generate new customer leads through various Inbound & outbound calls and provide a healthy sale pipeline.

* Customer Assessment: Evaluate the financial situation of customers, including their income, expenses and outstanding debts, to understand their eligibility for the debt relief program.

* Debt Counseling: Provide guidance on the debt settlement process, including budgeting, savings plans, etc.

* Program Enrollment: Assist customers in enrolling in the debt relief program, explaining program benefits, requirements and next steps.

* Documentation: Ensure all necessary documentation is collected, verified and accurately recorded in the customer management system.

* Relationship management: Maintain regular contact with customers to monitor progress, address anyconcerns and encourage program adherence.

* Lead Management: Utilize the company’s CRM system to update and manage customer interactions, ensuring timely follow-up and proper lead categorization.

* Compliance: Adhere to all regulatory and company guidelines while providing debt relief solutions, maintaining the highest standards of ethics and integrity.

* Targets: Achieving the assigned monthly sales targets.

* Collaboration: Work with other departments to provide feedback on customer needs and preferences, contributing to the evolution of current programs/ development of new programs.

About Certa

Certa is a leading provider of AI-powered third-party risk management and workflow automation

solutions. Our AI team is at the forefront of leveraging cutting-edge technologies to enhance

vendor onboarding, compliance, and risk analysis.

We are looking for an Associate Product Manager (APM) to join our AI product team. This role

will be instrumental in shaping AI-driven features and integrations, working at the intersection of

AI, UX, and product strategy. The APM will report directly to a Senior Product Manager and

collaborate closely with engineering, design, and sales teams to bring innovative AI solutions to

life.

What You'll Do:

• Own & manage specific AI product features and sub-initiatives across multiple projects, gaining cross-product knowledge.
• Gather and prioritize product and customer requirements to ensure we are solving real business problems with AI.
• Collaborate with stakeholders to define product vision, prioritize, and break it down into execution phases.
• Work closely with engineering & design teams to deliver high-quality AI-driven features.
• Monitor & report on product performance, leveraging insights from OpenPanel and other analytics tools.
• Solve complex problems with structured thinking and propose actionable, detailed solutions.
• Leverage data to drive decisions and refine product strategy.
• Gather market insights and understand customer pain points via research and engaging
• with clients, prospects, sales, and marketing.

What We're Looking For

At Certa, AI PMs are hands-on builders. You will design, prototype, and ship AI-powered pipelines for products. We're looking for someone who can think like a PM and build like an engineer.

Must-Have Skills

• Hands-on experience building and shipping AI pipelines end-to-end.
• Strong working knowledge of AI concepts - LLMs, generative AI, prompt engineering, agentic workflows, and vector databases.
• Ability to move from idea to working prototype quickly, with a bias toward iteration over perfection.
• Ability to identify opportunities where AI can drive efficiency and innovation.
• Excellent collaboration and communication skills (written and verbal), with a proactive approach to working with engineering, design, and sales teams.
• 1–3 years of experience in product management, AI/tech products, or a related field.

Nice-to-Have Skills

• Hands-on experience with n8n, Langflow, or similar AI automation tools.
• Experience working in automation contexts - industrial, business process, or workflow automation.
• Prior experience in software development or programming.
• Active interest in the latest AI developments and research.
• Prior experience in B2B SaaS.

About Upthrust

Upthrust is a B2B SaaS marketing agency driving growth through data-driven strategies and innovative marketing solutions for SaaS companies via PPC, Paid Social, and growth hacking.

The opportunity

Before you read another word, take a quick peek at who we are:

https://bit.ly/4igeveS

Own end-to-end Google Ads campaigns, from strategy to optimization, while aligning with LinkedIn and web teams to crush client goals.

Key Responsibilities:

Campaign Strategy & Execution

• Build/search/display/video campaigns from scratch.
• Audit accounts to find wasted spend and hidden opportunities.
• Implement conversion tracking, keyword research, and audience targeting tailored for B2B tech.

Performance Tuning

• Weekly bid adjustments, budget reallocations, and negative keyword scrubs.
• Set up real-time alerts to flag CTR drops or budget overages.
• A/B test ads, landing pages, and bidding strategies relentlessly.

Client Collaboration

• Present results that make CFOs nod (not snooze).
• Partner with LinkedIn specialists to unify cross-platform messaging.
• Document processes so your wins scale beyond your inbox.

Must-Haves

• 2-3 years in an agency managing Google Ads (B2B SaaS experience required).
• Certified in Google Ads (Search, Display, Video).
• Proven skill in scaling budgets from $10k–$100k+/month.
• Obsessive data literacy—you turn spreadsheets into strategy.

Nice to Have

• GA4 and Looker Studio fluency.
• Basic LinkedIn Ads or marketing automation know-how.
• Experience with automated bidding scripts.

Why Upthrust?

• Own campaigns without micromanagement.
• Work directly with founders (ex-Adani, Bank of America, IIT, ISB).
• Hybrid setup + health insurance + growth track.

Apply If

You’ve ever canceled plans to tweak a campaign.

No fluff. Just results.

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!

Hello

Job Title: Business Development Executive

Location: Surat - Adajan

Website: https://artoonsolutions.com/ (https://artoonsolutions.com/career/)

Artoon Solutions Private Limited

https://www.linkedin.com/company/artoonsolutions/mycompany/

Ultimate Business Systems Pvt. Ltd. (UBS) - Product

https://www.linkedin.com/company/ubsapp/

Artoon Games - Games

https://www.linkedin.com/company/artoongames/

Location: Surat & Ahmedabad

Working Days – 5 days working (First Saturday 4:30 hours working due to activities/celebrations)

Time (Working Hours) – Flexible working hours

Employment Strength – 350

LinkedIn Page: https://www.linkedin.com/company/artoonsolutions/

Benefits to Joining us:

• 5 Days Working
• 280 + Brains
• Overtime Pay
• Health Insurance for you & your family
• Leave Encashment
• Flexible job timings
• Monthly celebrations
• Get the chance to learn new technologies
• Technical Growth Opportunities
• Cooperative Seniors

Job Description:

 Lead Analyst for Outbound Marketing (LinkedIn & Others) and Inbound Leads responsibilities.

Role: The Lead Analyst is responsible for utilizing various outbound marketing tools and techniques, such as sending messages, and emails, or making calls on platforms like LinkedIn, to generate high-quality leads. They are also accountable for managing and maintaining records of the connected leads in customer relationship management (CRM) tools and providing qualified leads to the Sales department. In addition, the Lead Analyst shall also have the role of communicating with inbound leads generated from marketing efforts.

Responsibilities:

• Generate qualified leads using outbound marketing tools and methods such as messages, email, and calls on platforms like LinkedIn and others.
• Maintain records of connected leads in CRM tools and supply qualified leads to the sales department.
• Communicate with inbound leads generated from marketing.
• Analyze profiles in various lead generation platforms like Apollo.io and LinkedIn.
• Use deep knowledge of qualified profile/company filtration to identify and target the most promising accounts.
• Utilize Sales Navigator to find and connect with leads.
• Maintain accurate reports on lead generation and follow-up activities.
• Use CRM tools to track and manage leads and opportunities.
• Hunt for proper profiles, filter by industry, category, and location.
• Use basic communication skills for chat and initial communication with leads.
• Understand market research in a given industry.
• Approach at least 20 qualified accounts per day.
• Handle inbound leads generated via marketing efforts.
• Handle clients approaching the company with their requirements on WhatsApp, emails.
• Understand the basic high-level requirements of the clients.
• Provide accurate data to the sales team by maintaining the data in CRM.
• Reply to clients only during urgencies during holidays or post office hours. This might not be required daily, but a positive attitude is a must.

Skills:

• Proven experience in lead generation and outbound marketing.
• Deep knowledge of qualified profile/company filtration.
• Experience using Sales Navigator.
• Proficiency in report maintenance and CRM tools.
• Strong LinkedIn skills, including profile hunting, filtering, and industry/category/location targeting.
• Good communication skills, including basic chat and communication with leads (Inbound & Outbound).
• Understanding of market research in a given industry.
• Positive attitude and ability to handle urgent client inquiries during off-hours.

Interview Process:

1. HR Round
2. Technical Round
3. Practical Round
4. Salary Negotiation
5. Offer Release

CA Accounting, GAAP

Roles and Responsibilities

• Managing available resources such as hardware, data, and personnel so that deadlines are met.
• Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
• Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Defining validation framework and establish a process to ensure acceptable data quality criteria are met
• Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
• Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
• Device self-learning strategies through analysis of errors from the models
• Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
• Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
• Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.

Preferred Technical & Professional expertise

• Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
• At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
• In-depth knowledge of cloud analytics tools.
• Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
• Ability to evaluate hardware selection for running ML models for optimal performance
• Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
• Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
• Deep analytical thinking with excellent problem-solving abilities
• Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
• Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
• Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
• Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards