As a Senior Director- pivotal member of the Revenue Operations leadership team and the APJ Sales leadership team, the Senior Director of APJ Revenue Operations will report directly to the Vice President of Global Revenue Operations and partner closely with the SVP of Sales, APJ and the entire APJ Sales organization. The responsibilities of the role span APJ strategy formulation through to tactical execution, and the measurement, analysis and reporting thereof. As the right hand and trusted advisor of the APJ SVP, you must be capable of acting with the delegated authority of the APJ SVP in his absence.You are expected to support and implement global initiatives designed to advance alignment with, and achievement of, global strategy and objectives. As the business scales you will be required to build a team of Rev Ops ‘A Players’ around you.

What Will You Do?

Primary responsibilities include:

• Work with the APJ SVP to develop and implement sales strategies designed to achieve overall business objectives and financial targets, including predictability of the business.
• Work with Sales leadership and Global Revenue Operations to design and operationalize the APJ GTM Strategy through the Annual Operating Plan. Develop and execute business plans including territory designs, headcount plans, booking targets, discount and pricing goals.
• Hands on ownership of territory carve and quota assignment to optimize sales rep ramp time and probability for success.
• Lead the APJ forecast processes, ensuring accurate data has been provided and timelines have been met; provide quality analytics to the viability of the forecast and pipeline strength.
• Set up and lead our operational cadence to ensure all aspects of our business is being inspected and managed including pipeline reviews, forecast inspection, tactical quarter end business reviews and interpreting other key Sales KPIs for our Sales leadership team.
• Use knowledge of company products, strategy, tools and processes to oversee revenue operations activities to achieve company objectives.
• Analyze and assess all aspects of the APJ operations. Proactively provide insights on performance and productivity improvement strategies and actions. Execute against the strategies and actions under the direction and leadership of the APJ SVP and VP Global Revenue Operations.
• Be the leader for all Revenue Operations activities for our APJ Sales geography
• Be the first line of assistance to the Sales Leaders for issues with systems and processes and liaison with Global Revenue Operations to make ongoing improvements and updates.
• Drive continuous process improvements as the business matures, elevating concerns and issues to Revenue Operations leadership and developing solutions to allow for scale in everything we do

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Minimum 15 years of experience in the technology industry, with at least 8 of those years working in Revenue/Sales Operations in the APJ geography.
• Previous experience as the Head of Revenue/Sales Operations for APJ in a high growth software business, preferably operating in a SaaS business, and preferably in both early stage and established companies.
• Results-orientated with strong decision-making skills and the ability to prioritize multiple objectives while meeting aggressive deadlines and financial targets.
• Ability to provide consultative input to APJ SVP and VP Global Revenue Operations regarding performance and productivity analysis and suggest optimal solutions to achieve business objectives.
• Willing to contribute in all areas of the business, including outside the typical scope of Revenue Operations, to support the APJ SVP in scaling the business. This is a hands-on roll-up-your-sleeves roll.
• Expertise in forecast management, pipeline management, deal structuring, territory design, quota assignment, SFDC, analytics, and reporting.
• Extensive experience and knowledge of sales operations and enterprise sales models, including multi-channel distribution.
• Experience doing data analysis, modeling, and/or financial analysis to support and drive business decisions.
• Ability to build relationships with all levels and across all functions of the company.
• Bachelors degree required in either a business or technology discipline.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Employee stock purchase program and RSU 
• Numerous company-sponsored events including regular happy hours and team-building events
• Flexible Time Off.
• Flexible Paid Sick Days.
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) 
• Gym membership/sports gears by Cultfit.
• Wellness Coach app, with 3,000+ on-demand sessions, daily interactive classes, audiobooks, and unlimited private coaching. 
• Private medical insurance plan for you and your family.
• Life Insurance covered by S1 (for employees)
• Telemedical app consultation (Practo)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• High-end MacBook or Windows laptop.
• Home-office-setup allowances (one time) and maintenance allowance. 
• Internet allowances.
• Provident Fund and Gratuity (as per govt clause)
• NPS contribution (Employee contribution)
• Half yearly bonus program depending on the individual and company performance.
• Above standard referral bonus as per policy.
• LinkedIn Business platform for Hard/Soft skills Training & Support for your further educational activities/trainings
• Sodexo food coupons.

Glance - An InMobi Group Company    

Founded in 2019, Glance is a consumer technology company that operates disruptive digital platforms including Glance, Roposo, and Nostra. Glance’s ’smart lock screen’ inspires consumers to make the most of every moment by surfacing relevant experiences without the need for searching and downloading apps. Glance Lock Screen is currently available on over 450 million smartphones worldwide. Roposo is a LIVE platform that is revolutionizing live experiences, through a unique, immersive, creator-led approach. Nostra is the largest gaming platform in India and Southeast Asia, offering gamers engaging ways to discover, play, watch, learn and compete.   
 
Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information visit glance.com, nostra.gg, and roposo.com

What should you know about joining Glance?  

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.   

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.   

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!

What You’ll Do

As a Data Scientist – Recommendation Systems, you will own and drive high-impact ML systems powering personalization across Glance products.

• Design, build, and deploy large-scale recommendation and personalization models using diverse, high-volume data sources.
• Lead rapid experimentation—from hypothesis formulation to offline evaluation and online A/B testing—balancing speed, rigor, and business impact.
• Develop and productionize end-to-end ML pipelines, including data preparation, feature engineering, model training, evaluation, and monitoring.
• Partner closely with Product, Engineering, Design, UX, and Business teams to translate product goals into scalable ML solutions.
• Monitor model health and performance, applying statistical techniques to ensure robustness and long-term effectiveness.
• Explore and prototype new ML techniques to improve relevance, engagement, and monetization.
• Act as a technical interface for stakeholders, clearly articulating trade-offs, results, and next steps.
• Contribute to Glance’s thought leadership through blogs, case studies, and industry conference talks.

What We’re Looking For

Core Expectations

• Deep expertise in Machine Learning, Data Science, and Recommendation Systems at scale.
• Strong applied understanding of experimentation, metrics, and causal reasoning in real-world systems.
• Ability to take models from idea → prototype → production → business impact.

Experience & Skills

• 10+ years of industry experience in ML/Data Science building large-scale recommendation or personalization systems.
• Hands-on experience applying techniques from ML, Deep Learning, NLP, Reinforcement Learning, Time Series, and Statistics.
• Strong programming skills in Python with production-quality code practices.
• Experience with big data ecosystems, especially Apache Spark.
• Familiarity with cloud platforms such as AWS, GCP (Vertex AI), or Azure.
• Experience operating in identity-constrained / privacy-aware environments (e.g., iOS/Android, identity-less systems) is a plus.
• Excellent communication skills—able to explain complex technical ideas clearly to non-technical stakeholders.
• High curiosity, strong problem-solving ability, and a bias toward learning and experimentation.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research, Economics, Analytics, or Data Science.
• PhD is a plus, but not mandatory.
• We value diverse academic backgrounds—great data scientists come from many disciplines.