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5 Job openings at Aarki
Sales Executive, India - BLR

Bengaluru, Karnataka

14 years

None Not disclosed

On-site

Full Time

About Us Aarki is an AI company that builds advertising solutions to drive mobile revenue growth. We use AI to find audiences in a privacy-first world by using trillions of contextual bidding signals coupled with proprietary neural net based models. Our platform includes a full-service team and Unified Creative Strategy that delivers ad creative ideation and execution. We have worked with hundreds of advertisers over 14 years and see 5M mobile ad requests per second from over 10B devices driving performance for publishers and brands. It is independently operated and headquartered in San Francisco, CA with offices across the United States, EMEA, and APAC. Role Overview As an Sales Executive, India at Aarki, you will be key in driving new business growth by acquiring gaming and non-gaming app marketers in India. You will be responsible for identifying and engaging potential clients, building strong relationships, and showcasing the value of our User Acquisition and Re-Engagement solutions. Your ability to develop strategic partnerships, navigate complex sales cycles, and collaborate with cross-functional teams will be essential in expanding our presence in the region and driving long-term success. Responsibilities Owns the full sales cycle from customer identification to prospecting to closing new deals. Present Aarki's programmatic solutions to key decision makers at mobile app companies, large consumer brands, and media agencies. Secure new business contracts and successfully launch new customers. Leverage our marketing resources (content, event, ABM) to close business and drive awareness for the brand. Attend key industry events and conferences. Self starter; Operates independently and is able to balance long term growth with short term efforts to drive aggressive growth for the company in the region. Stay current on the latest industry trends in mobile advertising. Meet quarterly and annual revenue goals through a deep understanding of Aarki's suite of solutions. Skills & Experience 6+ years of sales experience in programmatic advertising, with a strong preference for experience in mobile DSPs, User Acquisition, and Retargeting. Deep understanding of mobile marketing strategies and technologies, including user acquisition, retargeting, DSPs, ad networks, exchanges, SSPs, SKAN, and attribution. Established network of relationships with app marketers or media agencies across India. Strategic and consultative sales approach—well-researched, genuinely curious about customers' business challenges, and skilled at bridging the gap between client needs and Aarki's solutions. Strong communication and presentation skills, with experience engaging stakeholders at multiple levels within an organization. Entrepreneurial mindset, this is more than just an AE role; it's an opportunity to 10X the business. We're looking for someone excited by that challenge. Team-oriented, working effectively across internal teams including Customer Success, Product, and Marketing. Highly self-motivated and proactive, with the ability to work independently and drive results.

Product Marketing Manager - BLR

Bengaluru, Karnataka, India

14 years

None Not disclosed

On-site

Full Time

About Us Aarki is an AI company that builds advertising solutions to drive mobile revenue growth. We use AI to find audiences in a privacy-first world by using trillions of contextual bidding signals coupled with proprietary neural net based models. Our platform includes a full-service team and Unified Creative Strategy that delivers ad creative ideation and execution. We have worked with hundreds of advertisers over 14 years and see 5M mobile ad requests per second from over 10B devices driving performance for publishers and brands. It is independently operated and headquartered in San Francisco, CA with offices across the United States, EMEA, and APAC. About The Role We are seeking an experienced Product Marketing Manager with 5 to 6 years of experience to drive go-to-market strategies, craft compelling messaging, and support sales with impactful enablement materials. This role requires a strategic thinker who has a clear understanding of the Adtech/Martech domain, stakeholder management, and data-driven storytelling. Responsibilities Product Positioning & Messaging: Develop clear and compelling messaging differentiating our products in the market. Go-to-Market Strategy: Work closely with cross-functional teams (Product, Sales, Partner, and Customer Success) to define and execute GTM plans for product launches. Market & Competitive Research: Conduct thorough market research and competitive analysis to identify trends and opportunities that inform product positioning. Data-Driven Storytelling: Analyze product usage data and customer insights to craft narratives using flows, graphs, and visuals that drive engagement. Sales Enablement: Create high-quality collateral (decks, one-pagers, case studies) to empower sales teams and improve conversion rates. Content & Demand Generation: Work on content marketing initiatives that align with the marketing funnel to drive awareness, engagement, and conversions. Stakeholder Management: Collaborate effectively with internal teams to ensure alignment on product strategy and marketing initiatives. Experience Critical Thinking – Ability to analyze market trends and translate insights into action. Strong Communication Skills – Exceptional storytelling and the ability to craft compelling narratives. Project Management Expertise – Organized and able to manage multiple projects simultaneously. Stakeholder Management – Work effectively across teams to drive alignment and execution. Go-getter Attitude – Self-motivated, proactive, and thrives in a fast-paced environment. Good-to-Have Skills ➕ Experience in the Adtech/Martech domain ➕ Knowledge of Sales Enablement and building impactful collateral ➕ Experience in content marketing and understanding of the marketing funnel ➕ Strong data interpretation skills to create insightful reports and visuals ➕ Ability to perform competitive and market research to drive strategic decisions

AARK00340 - Senior Director, Finance

karnataka

7 - 11 years

INR Not disclosed

On-site

Full Time

Aarki is an AI-driven company that specializes in mobile advertising solutions aimed at driving revenue growth. Leveraging AI technology, we identify audiences in a privacy-first environment by analyzing trillions of contextual bidding signals and utilizing proprietary behavioral models. Our audience engagement platform encompasses creative strategy and execution, with a track record of handling 5M mobile ad requests per second from over 10B devices. With over 14 years of experience in the industry, we are committed to driving performance for both publishers and brands. Headquartered in San Francisco, CA, we have a global presence spanning the United States, EMEA, and APAC. As the Sr. Director of Financial Planning & Analysis (FP&A) at Aarki, you will be instrumental in shaping the financial future of our company. The ideal candidate will possess extensive experience working with global teams, along with a deep understanding of FP&A, budgeting, forecasting, KPIs, and accounting practices and regulations. This role, based in Bengaluru, India, requires a proactive and strategic thinker with expertise in AdTech and a proven ability to drive financial success. **Role & Responsibilities** - **FP&A:** Collaborate closely with the Chief Financial Officer to oversee Aarki's operational finance functions, encompassing financial planning, modeling, and various strategic initiatives. - **Board Reporting:** Develop, coordinate, and present financial reports to the Board of Directors, offering clear insights and recommendations to foster business growth. - **Cash Flow & Financial Management:** Manage the company's cash flow, capital expenditure, and working capital to uphold financial stability. - **Strategic Financial Leadership:** Work alongside the CFO and leadership team to define the company's financial strategy, supporting key business initiatives and decisions. - **Cost Optimization:** Identify opportunities for cost savings and efficiency enhancements to drive profitability. - **Risk Management:** Evaluate and mitigate financial risks, ensuring the implementation of robust controls and processes. **Skills & Experience** - Minimum 7 years of finance experience, with a strong background in FP&A, accounting, and financial reporting. - Previous involvement in the AdTech or mobile advertising sector is desirable. - Demonstrated proficiency in preparing and delivering financial reports to senior management. - Excellent modeling and analytical capabilities to translate complex data into actionable insights. - Strong communication and presentation skills, particularly in discussing numerical data and financial strategies. - Ability to manage multiple projects and meet deadlines in a fast-paced environment. - Education: Bachelor's degree in Finance, Accounting, or a related field. MBA or CPA accreditation is advantageous. - Advanced proficiency in Google Sheets and Excel. - Adaptability to thrive in a dynamic and evolving work environment.,

Applied Data Scientist - BLR

karnataka

6 - 10 years

INR Not disclosed

On-site

Full Time

Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. Leveraging AI technology, we discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform encompasses creative strategy and execution. With over 14 years of experience in the industry, we manage 5 million mobile ad requests per second from over 10 billion devices, driving performance for publishers and brands. Headquartered in San Francisco, CA, we have a global presence across the United States, EMEA, and APAC. We are looking for a motivated and detail-oriented Applied Scientist to join our team. As an Applied Scientist, you will play a key role in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). Collaborating closely with senior research scientists and other team members, you will contribute to impactful data science projects and innovative solutions. This position is based in our Bengaluru, India office and requires on-site presence five days a week. Join us in our mission to push the boundaries of AI and mobile advertising in a collaborative environment that nurtures creativity and growth. We offer a competitive salary, comprehensive benefits, and ample opportunities for career advancement. **Role & Responsibilities:** - Develop and deploy machine learning models at scale to tackle challenges in programmatic advertising like user response prediction, bid landscape forecasting, and fraud detection. - Conduct exploratory data analysis and apply statistical techniques to derive insights and support decision-making. - Build and maintain data pipelines to ensure efficient processing and integration of large-scale data for model training and evaluation. - Collaborate with senior data scientists and cross-functional teams to integrate models into production systems and applications. - Assist in establishing best practices for model deployment, monitoring, and performance assessment. - Stay abreast of recent developments in machine learning and data science, applying relevant techniques to solve complex problems and enhance our platform. - Contribute to exploring and adopting new methodologies and technologies to advance our data science capabilities. **Skills & Experience:** - Minimum of six years in data science with practical experience in machine learning, statistical analysis, and data modeling. - Bachelor's degree in Mathematics, Physics, Computer Science, or a related technical field. Master's degree is a plus. - Additional proficiency in programming languages like Rust, C++, Java, and Scala, as well as large-scale data processing systems is preferred. - Familiarity with RTB, auction theory, and high-throughput low-latency environments is advantageous. - Strong proficiency in machine learning techniques such as regression, classification, and clustering. Experience with Python and libraries like Scikit-Learn, TensorFlow/PyTorch. - Proficiency in Python and SQL, familiarity with Spark, and experience with TensorFlow/PyTorch and Scikit-Learn libraries. - Solid understanding of probability, statistics, and data analysis. - Ability to work effectively within a team environment, with excellent communication skills to articulate complex concepts to diverse stakeholders.,

Senior Manager, Applied Data Science

karnataka

7 - 11 years

INR Not disclosed

On-site

Full Time

Aarki is an AI company dedicated to developing advertising solutions that drive mobile revenue growth. Utilizing AI technology, we identify audiences in a privacy-first environment by analyzing trillions of contextual bidding signals alongside our proprietary behavioral models. Our comprehensive audience engagement platform consists of a full-service agency team and a Unified Creative Strategy that offers ad creative ideation and execution services. With a history of working with numerous advertisers over 14 years, we process 5 million mobile ad requests per second from over 10 billion devices, effectively enhancing performance for publishers and brands. Headquartered in San Francisco, CA, we also maintain offices in the United States, EMEA, and APAC. We are currently looking for a dynamic and detail-oriented Senior Manager of Applied Data Science to join our team. As a Senior Manager, you will lead a team responsible for creating and implementing machine learning models and data pipelines to optimize our programmatic demand-side platform (DSP). Collaborating closely with decision science, engineering, and analytics teams, you will drive impactful data science projects and contribute to innovative solutions. Join us in our mission to push the boundaries of AI and mobile advertising within a collaborative environment that encourages creativity and growth. At Aarki, we offer a competitive salary, comprehensive benefits, and substantial opportunities for career advancement. Responsibilities include: - Building, nurturing, and mentoring a high-performing data science team, emphasizing technical growth and long-term career development. - Spearheading the development of scalable machine learning pipelines tailored for programmatic mobile advertising. - Establishing best practices for model deployment, monitoring, and performance assessment. - Taking ownership of process enhancements throughout the ML lifecycle. - Promoting collaboration with teams in Bangalore and San Francisco, including decision science and bidder engineering, to deploy models into production and conduct experiments. - Ensuring timely project deliveries and swift resolution of model-related issues in production environments. - Designing and managing data pipelines to facilitate the efficient processing of large-scale datasets for training and evaluation. - Collaborating with product managers, engineers, and business stakeholders to seamlessly integrate models into production systems. - Staying abreast of advancements in machine learning and applying cutting-edge techniques to enhance platform capabilities. - Driving innovation by exploring and adopting new methodologies, tools, and technologies. The ideal candidate possesses: - Over 7 years of hands-on experience in data science, with a solid background in machine learning, statistics, and modeling. - More than 3 years of experience in managing teams of data scientists or ML engineers. - Proficiency in Python and SQL, with familiarity in Spark being advantageous. - Expertise in ML libraries like Scikit-Learn, LightGBM, TensorFlow, and PyTorch. - Profound understanding of probability, statistical analysis, and experimental design. - Demonstrated expertise in deploying ML models into production and ensuring continuous model observability. - Exceptional communication skills enabling the effective explanation of complex concepts to both technical and non-technical audiences. - Knowledge of RTB, auction theory, and high-throughput low-latency environments is a plus.,

Aarki

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