Role: North Region (Sales)
Relevant Experience: 10-15 years
Location: Gurugram/ Delhi NCR
Qualification:MBA or equivalent preferred; strong communication and presentation skills are a must.

About the Role:

The Head – North Region (Sales) will be responsible for driving revenue growth, market penetration, and client success in the North India market.

This is a front-line sales leadership role — perfect for a high-performing business builder who thrives on creating new opportunities, winning key accounts, and scaling Lemma’s presence across agencies
and brands.

You will own the full regional sales P&L, lead a growing sales team, and work closely with supply,
product, and operations teams to deliver campaigns that drive measurable impact

Key Responsibilities:

1. Revenue & Pipeline Ownership
● Deliver quarterly and annual revenue targets for the North India region.
● Drive full-funnel sales — from prospecting → pitching → closing → renewals.
● Build a robust pipeline across agency and brand-direct clients.
● Manage deal conversions, pricing strategy, and account profitability.

2. Market Expansion & Client Acquisition
● Identify new business opportunities across key verticals: FMCG, BFSI, Auto, E-commerce, and Tech.
● Build strategic relationships with agency trading desks, outdoor specialists, and media planners.
● Partner with key brands to unlock always-on and programmatic DOOH budgets.
● Develop region-specific GTM plans to capture untapped city markets.

3. Team Leadership
● Lead, coach, and motivate a sales and account management team to exceed targets.
● Create a culture of hunting, client obsession, and accountability.
● Conduct regular sales reviews, pipeline audits, and performance check-ins.
● Work closely with the CBO to plan team structure, incentives, and expansion.

4. Cross-Functional Collaboration
● Collaborate with Supply and AdOps to ensure smooth campaign delivery and optimized screen inventory utilization.
● Work with Marketing for client events, case studies, and thought leadership initiatives.
● Provide client insights to the Product team to refine Lemma’s tech stack and features.

5. Data-Driven Selling
● Leverage Lemma’s analytics and audience data to build consultative, insight-led pitches.
● Track campaign performance and demonstrate ROI to clients.
● Present business reviews showcasing performance uplift and incremental reach.

Skills & Qualifications

Key Performance Indicators (KPIs)

● Regional revenue vs. target achievement
● Pipeline coverage and conversion rate
● Number of new clients onboarded
● Client retention and repeat billing
● Average deal size and profitability
● Team performance metrics (quota attainment, pipeline hygiene)

Why Lemma?

● Be part of a high-growth global AdTech company shaping the future of DOOH.
● Work with the best brands and agencies in the region.
● Autonomy to build and lead your own high-performance regional team.
● Exposure to global markets and leadership opportunities as Lemma expands in APAC and the US.

Note: Please send your resume to jobs@lemmatechnologies.com, including the Job ID and Job Title in the subject line.

Role: Senior Demand sales professional.
Relevant Experience: 10+ years
Job Location: Mumbai

About the Role:

We’re expanding our sales team in India and are seeking hunter-mindset Sr Sales professionals to grow net new business across PAN India. You will be responsible for bringing on new Agency and brand partners by selling managed services, programmatic deals, creative services, and programmatic curation.

You’ll play a pivotal role in our growth and help us refine our messaging, materials, and packaging to meet client needs within Omni Channel Programmatic AdTech space. You’ll maximize revenue opportunities from prospective buyers and also ensure that those partners are receiving mutually beneficial value and service from our team.

This role will constantly evolve, just as the world of programmatic advertising does. You’ll constantly search for new and innovative ways to serve our brand and agency partners while bringing your personal touch and style to relationships.

Key Responsibilities:

● Develop a strong, specific, strategic pipeline of DSPs, agency and brand accounts. Show consistent and accurate forecasting skills when regularly presenting new business opportunities to Executive leadership.
● Conduct high-impact meetings with prospects and clients. Have a large appetite to learn your client’s business like it’s your own.
● Maintain excellent records, document everything, and come prepared to meetings with sales updates.
● Become a trusted advisor to your prospects and clients, building relationships both up and across their organization.
● Develop winning strategies and proposals, collaborate closely with internal teams, and adjust sales tactics to meet evolving market demands.
● Work collaboratively with your analysis and operations teams in India to support your prospective clients better.

Skills & Qualifications:

● 10+ years of experience in Ad Tech/Programmatic sales must have experience selling. Experience in meeting and selling to end client/Brands is a must.
● A strong network of contacts at Hold Co and Independent agencies. Strong ideas on how to make an immediate revenue impact.
● Ability and prior engagements with Brands for Branding and performance will be highly appreciated.
● Bachelor’s degree or equivalent experience. Advanced degree (Masters or MBA) preferred.
● Track record of consistently meeting/exceeding new business and revenue targets.
● Have met $2m+ yearly revenue targets.
● Deep knowledge of the digital advertising ecosystem, programmatic technology, and a specific understanding of the essential parts related to Connected TV. Demonstrate technical aptitude for programmatic supply chain expertise.

Soft Skills

● A sales hunter
● A start-up mindset
● Highly self-motivated, hungry to succeed, proactive by nature
● Superb communication skills
● Fundamental attention to detail
● Adept in influence and persuasion
● An appreciation for working for a global company and a willingness to work with various cultures. Open to others’ ideas and ways of doing things.
● Creative and innovative mindset
● Ability to travel to meet prospects/clients and attend industry events

Note: Please send your resume to jobs@lemmatechnologies.com, including the Job ID and Job Title in the subject line.

Role: Media Planner
Relevant Experience: 3-4 years
Job Location: Pune
Qualifications:
● Bachelor’s degree from an accredited college or university
● Digital Marketing Qualified

Summary:
We are looking for a Senior Planner – Programmatic Digital OOH with a strong foundation in OOH media planning and a growing understanding of programmatic DOOH ecosystems. This role is planning-led, not execution-heavy. The candidate will be responsible for building robust media plans, audience strategies, and performance frameworks while coordinating with execution and operations teams.

The ideal candidate should be highly analytical, extremely comfortable with Excel, and confident navigating multiple planning and DOOH technology platforms.

Roles & Responsibilities:
Planning & Strategy (Primary Focus)
● Lead end-to-end planning for Programmatic Digital OOH campaigns across formats such as roadside, malls, airports, transit, and premium indoor screens
● Translate client briefs into audience-first, location-based OOH strategies
● Build media plans, reach-frequency models, budget phasing, and evaluate screen selection, city mix, dayparting, and contextual relevance
● Work closely with sales, trading, and operations teams to validate feasibility

Data, Tools & Analytics
● Strong hands-on use of Excel for:
o Planning grids
o Cost calculations
o Reach estimates
o Performance summaries

Note: Please send your resume to jobs@lemmatechnologies.com, including the Job ID and Job Title in the subject line.

Key Responsibilities:
● Support the SDR pipeline by researching, prospecting, and qualifying leads across advertising agencies, brands, and DSP partners
● Assist in outreach campaigns via email, LinkedIn, and calls to schedule discovery meetings for the sales team
● Track and maintain CRM data, ensuring lead records, notes, and pipeline stages are updated accurately
● Conduct audience, competitor, and market research to support media planning and pitch preparation
● Help create pitch decks, one-pagers, and client-facing communications under guidance of account managers
● Monitor campaign performance metrics and assist in preparing reporting summaries
● Attend client and agency meetings, take structured notes, and contribute ideas where relevant
● Stay updated on trends in programmatic advertising, Agentic AI, DSP/SSP/DMP innovations, and the OOH industry

Skills & Qualifications:
● Bachelor’s degree completed or currently pursuing in Communications, Media Studies,
Marketing, Business, or related field
● Strong interest in advertising, media planning, or sales
● Previous internship or agency/media company experience is a plus
● Excellent written and verbal communication skills
● Strong research and analytical abilities
● Organized, detail-oriented, and able to manage multiple tasks
● Familiarity with Excel, Google Sheets, Canva, or CRM tools is an advantage
● Self-starter mindset with willingness to learn and take initiative

WHY LEMMA:
● Be part of the tremendous growth of Agentic AI-driven programmatic advertising
● Join the core U.S. sales team and contribute to triple-digit growth opportunities
● Gain real exposure to global DSP partnerships, agency relationships, and live digital campaigns
● Learn from experienced sales and media planning professionals
● Meritocratic culture where performance is recognized and rewarded
● Potential for a full-time opportunity based on performance
● Corporate healthcare insurance coverage
● Unlimited PTO

Note: Please send your resume to jobs@lemmatechnologies.com, including the Job ID and Job Title in the subject line.

Note: Please send your resume to jobs@lemmatechnologies.com, including the Job ID and Job Title in the subject line.

Role: Senior / Lead Machine Learning & AI Engineer
Relevant Experience: 6-9 years
Job Location: Pune / Hybrid
Department: Engineering – AI & Machine Learning
Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics, or a related technical discipline. A Master’s degree is preferred but not mandatory for candidates with strong production experience.

About the Role:
We are looking for a Senior / Lead Machine Learning & AI Engineer to define, build, and productionise ML and AI capabilities across Lemma’s advertising platform.
This is a hands-on technical leadership role. You will work on ambiguous, high-impact problems involving large-scale advertising data, real-time decision systems, optimisation, forecasting, and Generative AI.
You will be responsible not only for developing models, but also for designing reliable ML systems, defining evaluation strategies, influencing the product roadmap, mentoring engineers, and ensuring that ML investments produce measurable business outcomes.

Key Responsibilities:

ML and AI Solution Ownership
● Own ML and AI initiatives from business-problem discovery through experimentation, production deployment, and continuous improvement.
● Translate advertising and platform challenges into clearly defined ML problems, metrics, and technical roadmaps.
● Architect solutions for use cases such as:

• Real-time bid-response prediction
• Dynamic floor-price and margin optimisation
• Campaign pacing and delivery optimisation
• Inventory, demand, impression, and revenue forecasting
• Audience modelling and lookalike generation
• Supply-path and traffic-quality optimisation
• Invalid-traffic and anomaly detection
• Creative intelligence and contextual classification
• Recommendation and ranking systems
• Automated campaign planning and optimisation

Production ML Engineering
● Design scalable training, feature-engineering, model-serving, and monitoring architectures.
● Develop batch, streaming, and low-latency inference systems.
● Establish standards for model versioning, reproducibility, deployment, rollback, observability, and governance.
● Ensure ML services meet production expectations for latency, throughput, availability, accuracy, and cost.
● Work with platform engineers to integrate models into real-time ad-serving and decision- making workflows.
● Design systems that combine traditional ML, optimisation algorithms, and business rules where appropriate.
● Define offline and online evaluation frameworks for ML initiatives.
● Design A/B tests, holdout experiments, and incremental-impact measurement.
● Connect model metrics with business outcomes such as:

• Win rate
• Response rate
• Fill rate
• Revenue
• Publisher yield
• Advertiser ROI
• Campaign delivery
• Margin
• Forecast accuracy
• Operational efficiency

● Investigate model degradation, bias, drift, unexpected behaviour, and production discrepancies.

Generative AI and Intelligent Automation
● Architect production-grade Generative AI systems using LLMs, embeddings, retrieval, structured data, and tool-based agents.
● Build AI capabilities for campaign planning, analytics, reporting, inventory discovery, engineering productivity, and operational automation.
● Evaluate models and frameworks based on accuracy, latency, cost, privacy, reliability, and maintainability.
● Establish guardrails, evaluation datasets, human-approval workflows, and monitoring for AI-generated outputs.
● Identify where deterministic systems or traditional ML are more appropriate than Generative AI.

Required Skills:
● 6–9 years of professional experience in Machine Learning, Applied AI, Data Science, or ML Engineering.
● Demonstrated experience deploying and operating ML models in production.
● Expert-level Python programming skills.
● Strong software-engineering fundamentals, including:

• Data structures and algorithms
• Object-oriented and modular design
• API development
• Testing and code quality
• Distributed-system fundamentals
• Performance and reliability engineering

● Strong knowledge of:

• Classification, regression, ranking, and recommendation systems
• Time-series forecasting
• Optimization techniques
• Statistical inference and experimentation
• Feature engineering and model evaluation
• Model explainability, drift, and monitoring

● Hands-on experience with frameworks and tools such as:

• Scikit-learn
• XGBoost, LightGBM, or CatBoost
• PyTorch or TensorFlow
• Pandas and NumPy

● Advanced SQL skills and experience working with high-volume datasets.
● Experience designing batch and real-time data or ML pipelines.
● Experience building model-serving APIs and scalable inference systems.
● Strong understanding of cloud infrastructure, containers, CI/CD, and production observability.
● Ability to balance model sophistication with latency, cost, explainability, and business impact.
● Strong written and verbal communication skills.

Note: Please send your resume to jobs@lemmatechnologies.com, including the Job ID and Job Title in the subject line.

Role: Senior / Lead Machine Learning & AI Engineer
Relevant Experience: 2-5 years
Job Location: Pune
Department:  Engineering – AI & Machine Learning
Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics, or a related technical discipline. Equivalent practical experience will also be considered.

About the Role:
We are looking for a hands-on Machine Learning / AI Engineer who can convert business problems into production-ready ML and AI solutions.
You will work closely with Product, Engineering, Data, and Ad Operations teams to develop models, data pipelines, APIs, experiments, and intelligent automation systems for Lemma’s advertising platform.
This role is suitable for someone who enjoys working across data exploration, model development, software engineering, experimentation, and production deployment.

Key Responsibilities:
● Analyse large advertising datasets to identify patterns, opportunities, and anomalies.
● Build and evaluate machine learning models for use cases such as:

• Bid-response and win-rate prediction
• Inventory and campaign forecasting
• Floor-price and margin optimisation
• Audience classification and targeting
• Traffic-quality and anomaly detection
• Campaign pacing and performance optimisation
• Creative and inventory intelligence

● Develop data preprocessing, feature-engineering, training, and inference pipelines.
● Build APIs and services to integrate ML models with production applications.
● Design offline evaluations and online experiments to measure model impact.
● Monitor model accuracy, drift, latency, reliability, and business KPIs.
● Work with structured, semi-structured, geospatial, time-series, and event-stream data.
● Contribute to Generative AI use cases involving:

• Retrieval-Augmented Generation
• AI agents and workflow automation
• Campaign-planning assistants
• Natural-language interfaces for analytics and reporting

● Collaborate with backend engineers to deploy models in scalable, low-latency environments.
●Document experiments, assumptions, model behaviour, APIs, and deployment processes.
● Participate in code reviews, design discussions, testing, and production troubleshooting.

Required Skills:
● 2–5 years of professional experience in Machine Learning, Data Science, Applied AI, or a related engineering role.
● Strong programming skills in Python.
● Good understanding of:

• Supervised and unsupervised learning
• Classification, regression, clustering, and ranking
• Feature engineering and model evaluation
• Statistics and probability
• Time-series analysis and forecasting

● Hands-on experience with libraries such as:

• Pandas
• NumPy
• Scikit-learn
• XGBoost, LightGBM, or CatBoost

● Working knowledge of deep-learning frameworks such as PyTorch or TensorFlow.
● Strong SQL skills and experience working with large datasets.
● Experience building REST APIs or backend services using Python frameworks such as FastAPI or Flask.
● Familiarity with Git, Docker, Linux, unit testing, and CI/CD practices.
● Ability to explain model outcomes and technical findings to non-ML stakeholders.
● Strong analytical, debugging, and problem-solving skills.

Note: Please send your resume to jobs@lemmatechnologies.com, including the Job ID and Job Title in the subject line.