Product Manager

Position: ML/AI Engineer (3+ years)

Responsibilities:

Design, develop, and deploy machine learning models with a focus on scalability and performance.

Implement unsupervised algorithms and handle large datasets for inference and analysis.

Collaborate with cross-functional teams to integrate AI/ML solutions into real-world applications.

Work on MLOps frameworks for model lifecycle management (optional but preferred).

Stay updated with the latest advancements in AI/ML technologies.

Requirements:

Proven experience in machine learning model building and deployment.

Hands-on experience with unsupervised learning algorithms (e.g., clustering, anomaly detection).

Proficiency in handling Big Data and related tools/frameworks.

Exposure to MLOps tools like MLflow, Kubeflow, or similar (preferred).

Familiarity with cloud platforms such as AWS, Azure, or GCP.

Location: Baner, Pune

Employment Type: Full-time

Roles and Responsibilities

1.

Manage client relationships, and facilitators relationship at MHFAI for training and post-training support.

2.

Ideate, design, and implement program that focused on post-training support for mental health first-aiders.

3.

Leverage the new products of MHFAI to the clients that ensures implementation of mental health by building tools and guidelines (for organized groups).

4.

Oversee and facilitate MHFAI instructors for training and upskilling.

5.

Monitor and coordinate the MHFAI Awards program with all the stakeholders involved.

6.

Draft and initiate scientific research, and create tools required at workplace to measure mental health.

7.

Plan and manage webinars, events and activities to promote the idea of mental health at workplaces and educational institutions.

8.

Draft, design, manage and implement guidelines / resources with focus on mental health for the benefit of organized groups.

9.

Keep up-to-date with the latest trends and best practices in Learning and Development and / or mental health, and incorporate them into our training programs.

10.

Manage the Learning and Development budget, ensuring that resources are allocated effectively and efficiently.

11.

Provide support in other operational functions of MHFA as needed.

Requirements:

•

3-15 years in clinical work and / or mental health training

•

Qualification: Msc. Counselling Psychology

Msc. Applied Psychology (any specialization, preferably HR Specialization )

•

Experience in Clinical Practice / Research

•

Exposure to mental health training and created content or training on Mental Health for Adult

•

Experience of having previously worked in organized group is desirable

About HighLevel

Founded in 2018, HighLevel Inc. (www.gohighlevel.com) is a two tier B2B SaaS Platform focussed on Marketing Agencies. We aspire to be a one stop shop for marketing agencies. We enable agencies to serve their clients with ease using the best cutting edge tools of the industry. Our clientele includes digital marketing agencies, Ads agencies, SEO agencies, Call center / Sales agencies and freelancers. We operate across niches like real-estate, dental & medical, local businesses, e-commerce, professional services and field services. 

Our platform comprises various product areas including CRM, funnel builder, website builder, forms & surveys, WordPress hosting, email marketing, telephony, reviews management, omni-box communications, social media, invoicing & payments to name a few. We currently service over 15,000 agencies and 120,000 small & medium businesses with a 600+ strong team that works entirely remote across 15 nations. 

We encourage you to check out out youtube channel to learn more about out platform - https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g ;

About the team

The mobile team maintains three apps: the main branded app HighLevel, the gray-label LeadConnector, and white-label apps. Their goal is to provide SMEs with on-the-go solutions. These apps include features like an in-house CRM,reputation management,VOIP Calls, and invoice management. The mobile payments team will handle payment-related functions like point of sale, terminal payments, creating invoices, and generating estimates and proposals.

The "Whitelabel Customizer" is a tool designed to build customized white-label mobile apps, offering clients a user-friendly "what you see is what you get" experience.

Why should you join HighLevel?

HighLevel is an exciting place to work because of the passionate, driven team that we have. At HighLevel

• It’s never somebody else’s job
• We are passionately focussed on adding value for our users
• We deliver fast using lean principles. We go to market in weeks instead of quarters
• A good idea always gets tested
• We take care of our team so our team can take care of our users
• We embrace that improvement is constant and iterative
• You will learn how to scale B2B SaaS Startup and build relevant, impactful products for customers

About the role

HighLevel Inc is looking for a Product Manager to join the mobile products team and own our mobile payments and White Label Mobile Products. You will be assisting the team in identifying opportunities, proving legitimacy, sizing the opportunity, performing user interviews and designing solutions based upon your findings. Highlevel's platform currently processes a total payment volume (TPV) of USD50 million each Quarter , and the company is shifting its focus towards increasing this TPV specifically through mobile transactions.

The White Label Apps is an expansion product that is currently generating 2 Million USD in Annual Recurring Revenue (ARR). You will have the responsibility to manage the Profit and Loss (P&L) for this product and work towards scaling the ARR by five times over the next year.

Type - Full Time (Remote in India)

Your Responsibilities

1. Understanding the aspirations, pain-points and user behaviour of HighLevel customers
2. Identifying good ideas, cutting, prioritizing and visualizing solutions
3. Validating solutions with real users at the wireframe stage, gathering feedback from various stakeholders and users at mockup stage and conducting beta launches for target segments
4. Analyzing beta feedback and writing user stories
5. Collaborating with support, customer success, devs and product teams to become an evangelist for your product area and building a strong relationship with other teams while you work in a cross-functional environment
6. Instrumenting, analysing and learning from the user behavior when they interact with your features & products
7. Working with Product Managers with a collaborative mindset and assisting them in achieving product objectives

Your Core Skills

1. You are passionate about software products
2. Managing Mobile Apps of mobile first companies
3. You have been involved in a successful (or unsuccessful) launch of a software product
4. You have prior experience in either of the following
5. UI/UX Design
6. Software Development
7. Marketing of a Software product or service
8. Sales of a Software product or a service
9. Product Management
10. You understand product development lifecycle or have a history of working on Software products
11. You have been a leader either formally or informally and have demonstrated leadership skills in the past
12. You can deconstruct software products and highlight good UX from bad UX
13. You are well versed with SaaS and are generally aware of SaaS platforms out there

Additional Skills

1. Skills of writing accurate and precise OKRs
2. Experience in a B2B SaaS or agency environment
3. You have been an APM or a PM before
4. You have worked in Agile or SCRUM environment

Data Research Associate

Location: Noida Sector 62 (Work From Office - WFO , 5 days in a week)

Employment Type: Full-time

Candidates who have completed their Internship in same domain are also welcomed

Job Description:

We are seeking a highly motivated Data Research Associate to join our team at our Noida Sector 62 office. The ideal candidate will be responsible for gathering and analyzing data, primarily from LinkedIn, to support various business initiatives. This role offers a unique opportunity for interns to learn and contribute to our data research efforts.

Key Responsibilities:

1. Conduct in-depth research on individuals, companies, and industries through various online sources, with a primary focus on LinkedIn.
2. Utilize Boolean search techniques and advanced search operators to identify and compile data on target audiences.
3. Optimize LinkedIn profiles to enhance the visibility and branding of team members and the organization.
4. Create and execute data collection strategies that align with our business objectives.
5. Analyze and interpret data to provide actionable insights and recommendations.
6. Collaborate with the marketing and sales teams to support lead generation efforts.
7. Maintain accurate records of collected data and ensure data security and privacy compliance.
8. Participate in LinkedIn networking events, webinars, and groups to expand the organization's professional network.
9. Assist in CRM integration to facilitate relationship management and lead tracking.

Qualifications:

• Bachelor's degree in a relevant field (in-progress or completed) is preferred.
• Strong knowledge of LinkedIn and its features.
• Proficient in using Boolean search techniques for research.
• Excellent communication and interpersonal skills.
• Detail-oriented and able to maintain data accuracy.
• Strong analytical and problem-solving skills.
• Ability to adapt to changes and learn new LinkedIn features.
• Multilingual skills (a plus).

Responsibilities:

• Experience and working knowledge of Java 8, Hibernate, Spring Boot, Microservices and REST API is mandatory
• Expert understanding of the object-oriented design and programming concepts
• Strong problem solving skills, data structures and algorithms and multithreading
• Good understanding of AWS and cloud-native technologies
• Knowledge of AWS services - RDS, DynamoDB, Elastic Search, Kinesis. Experience of working with AWS SDK is preferred.
• Good understanding of CI/CD and Jenkins pipeline
• Experience of writing unit tests using Junit/Mockito
• Knowledge of Integration Testing framework like Cucumber is required.
• Proficient in Git commands and branching concepts

YOU'LL BE OUR : Data Scientist                                                            YOU'LL BE BASED AT: IBC Knowledge Park, Bangalore

YOU'LL BE ALIGNED WITH :Engineering Manager

YOU'LL BE A MEMBER OF : Data Intelligence

WHAT YOU'LL DO AT ATHER:

• Work with the vehicle intelligence platform to evolve the algorithms and the platform enhancing ride experience.

• Provide data driven solutions from simple to fairly complex insights on the data collected from the vehicle

• Identify measures and metrics that could be used insightfully to make decisions across firmware components and productionize these.

• Support the data science lead and manager and partner in fairly intensive projects around diagnostics, predictive modeling, BI and Engineering data sciences.

• Build and automate scripts that could be re-used efficiently.

• Build interactive reports/dashboards that could be re-used across engineering teams for their discussions/ explorations iteratively

• Support monitoring, measuring the success of algorithms and features build and lead innovation through objective reasoning and thinking Engage with the data science lead and the engineering team stakeholders on the solution approach and draft a plan of action.

• Contribute to product/team roadmap by generating and implementing innovative data and analysis based ideas as product features

• Handhold/Guide team in successful conceptualization and implementation of key product differentiators through effective benchmarking.

HERE'S WHAT WE ARE LOOKING FOR :

• Good understanding of C++, Golang programming skills and system architecture understanding

• Experience with IOT, telemetry will be a plus

• Proficient in R markdown/ Python/ Grafana 

• Proficient in SQL and No-SQL

• Proficient in R  / Python programming

• Good understanding of ML techniques/ Sparks ML

YOU BRING TO ATHER:

• B.E/B.Tech preferably in Computer Science

•  3 to 5 yrs of work experience as Data Scientist