
Smartsheet · Bangalore
For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting ...
For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most
ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual
tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and
big thinking. That is magic at work, and it’s what we show up for every day.
Smartsheet is establishing a new Enterprise Insights & Intelligence team to centralize ownership of corporate metrics, analytics
governance, and self-serve data enablement. This is a foundational hire — you will help build this function from the ground up,
with direct visibility to senior leadership and the opportunity to shape how the entire organisation consumes and trusts its data.
We are looking for a Senior Business Intelligence Engineer who can operate across three strategic pillars: automating and
governing corporate executive reporting, standardising metrics and reporting practices at scale, and enabling self-serve and
AI-powered data solutions. Day to day, this means you could be building an automated executive scorecard, codifying metric
definitions into a governed semantic layer, standing up an AI agent that lets business users query trusted data in natural
language, or leading enablement sessions on our analytics platforms. The thread connecting all of it is ensuring that Smartsheet's
data is trusted, consistent, accessible, and ready for both human and AI consumption.
This is not a traditional reporting or data science role. You will work across dbt, MetricFlow, Snowflake, and Databricks to build
the governed data layer that underpins everything — from board-level scorecards to LLM-powered insights to self-serve dashboards.
reports, and AI agents all query from a single source of truth
with AI-powered anomaly detection and alerting
priorities into data-driven recommendations shared via reviews and async updates
reporting assets
enterprise data through the semantic layer with metric-correct SQL
across Amplitude, Tableau, and other platforms
cross-functionally
field
and communicate findings that drive business decisions
experience is a plus but not required
patterns for large language models
expected)
workflows
instrumentation code
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom
to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know
that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites
you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is
our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK,
Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without
regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled
status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is hiring a Senior Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed, reliable, and scalable analytics system, transforming raw data into usable datasets for DS/ML, analytics, and reporting. A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake, fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists, you will ensure data accessibility and drive activation on critical customer-facing platforms. This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India. You Will: * Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean, documented data products. * Contribute to the design standards and architectural principle standards, designs and processes. * Build and maintain a governed, robust, reliable, and scalable analytics system (DW/DV). * Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines. * Foster data democratization via activation of data on critical platforms like Smartsheet platform, Amplitude, Thoughtspot , Gainsight. * Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster. * Create and implement data testing plans, encompassing data validation, data quality assessment, and regression testing, to identify anomalies, inconsistencies, or errors in produced datasets. * Mentor and guide teams and help drive high standards across the team by conducting design reviews and engineering ideation forums. * Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA). You Have: * 6+ years of experience in advanced data modeling using Data Vault (DV 2.0), dbt, and Snowflake. * Proven experience in building analytics systems with data transformation, dependency, and workload management (Data Vault, AutomateDV, dbt core, Airflow, Snowflake, GitLab, SQL). * Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users. * Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets. * Familiarity with data governance principles for maintaining datasets to enable a single source of truth. * Familiarity with self-serve product analytics tools (Amplitude, Thoughtspot, Tableau, Gainsight, etc.). * Knowledge of code management and CI/CD practices (GitLab, Airflow, Snowflake, Terraform). * Familiarity with AWS solutions such as S3, EC2, VPC. Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. #LI-Remote
For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Sr. Principal Data Scientist to set the technical direction for the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll architect the systems, define the modeling and evaluation standards, and shape the roadmap for how Smartsheet uses applied ML and agentic AI to serve millions of customers. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are a recognized technical leader who moves fluidly between architecture, prototype, and production; raises the bar for the data scientists around you; and partners with senior product and engineering leaders to make decisions that compound across the org. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position reports to the Director of Data Science and is based in Smartsheet’s Bengaluru, India office. You Will: * Set the technical direction for how Smartsheet uses applied ML and agentic AI across the customer lifecycle — what gets built, what doesn’t, and what good looks like * Architect the systems behind the sub-agents: how they ground themselves in evidence, how risk and confidence are calibrated, how decisions are evaluated, and how all of it stays safe and trustworthy at scale * Define the modeling, evaluation, and experimentation standards the team follows — from offline metrics to online rollout to production monitoring * Personally ship the highest-leverage models and sub-agents — the ones that need a senior IC to frame the problem, push through ambiguity, and de-risk the approach * Drive technical decisions on the data foundations and knowledge layer sub-agents reason over, with strong stewardship of privacy, aggregation, and customer trust * Partner with senior Product, Engineering, and Applied AI leaders to shape strategy, roadmap, and investment * Raise the bar for the data science team — mentor staff and principal data scientists, review designs, set hiring standards, and grow the org’s modeling rigor You Have: * Bachelor’s degree and 12+ years of experience (or 14+ years of experience); advanced degree in a quantitative field (Statistics, CS, ML, Economics, Operations Research, or similar) strongly preferred * Track record of setting technical direction for applied ML and AI work that ships and matters — major initiatives, complex systems, or new modeling paradigms taken from idea to production impact * Deep applied ML expertise across both traditional ML and deep learning: gradient boosting, regularized linear models, transformer-based sequence models, foundation model embeddings, causal ML, contextual bandits, and offline RL * Architect-level grasp of agentic AI systems: tool use, retrieval, multi-step reasoning, evaluation, guardrails, and the patterns for keeping all of it reliable in production * Strong grasp of causal inference for intervention design and lifecycle modeling: uplift modeling, difference-in-differences, propensity scoring, and synthetic control * Solid foundation in statistics and experimental design at scale: hypothesis testing, power analysis, multiple comparisons, sequential testing, and quasi-experimental methods * Experience operating ML in production at scale — feature engineering and pipelines, model monitoring, drift detection, retraining cadence, and the trade-offs between batch and real-time serving * Proficient in SQL and Python; comfort with ML/LLM tooling at scale (Spark, Databricks, Snowflake, or equivalents), ML frameworks (PyTorch, scikit-learn, XGBoost/LightGBM), and visualization tools (Tableau or similar) * Experience leading lifecycle modeling work — churn, expansion, adoption, plan health, lead/account scoring — and business fluency in the SaaS metrics that drive it (NRR, GRR, ARR, and cohort economics) * A pragmatic production bar: latency, cost, monitoring, drift, hallucination, and what happens when the model or sub-agent is wrong * Demonstrated ability to influence senior product and engineering leaders and to mentor staff and principal data scientists — your track record shows people and decisions, not just models, getting better * Comfort operating in deep ambiguity — defining the problem, choosing the approach, and aligning the team when no playbook exists Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. #LI-Remote
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a Sr. Software Developer to join our team. This is a Hybrid role, reporting to the Leader in the Tools & Technology Team in the ThreatLabz department. The Sr. Software Developer will be primarily responsible for designing, building, and maintaining client-side and server-side web applications, taking ownership of end-to-end feature modules and ensuring seamless communication between user-facing interfaces and backend infrastructure. Working within ThreatLabz, the world-class security research arm of Zscaler, this role contributes directly to hunting new threats and protecting millions of global users. What you’ll do (Role Expectations) * Build and scale server-side web applications, secure RESTful APIs, and microservices using Node.js, Python, Django, or Flask * Manage core application security settings, user authentication, authorization protocols, and data protection measures * Map and optimize database schemas using relational systems like PostgreSQL or MySQL and NoSQL engines like MongoDB * Build responsive, high-performance user interfaces and reusable frontend modules utilizing HTML5, CSS3, JavaScript/TypeScript, and modern frameworks * Collaborate closely with the ThreatLabz Cyber Threat Research organization to conduct code reviews, perform unit testing, and maintain software applications Who You Are (Success Profile) * You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. * You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. * You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. * You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. * You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) * Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies like frontier LLMs and vibe coding into workflows to augment problem-solving * A minimum of 2-3 years of professional application development experience with proficiency in Python and backend frameworks including Django and Flask * Strong understanding of database systems like PostgreSQL and MongoDB, alongside hands-on experience with Object Relational Mapper libraries * Expertise in frontend development with HTML5, CSS3, JavaScript, jQuery, and AngularJS * In-depth knowledge of the ELK Stack, including cluster setup, Logstash configuration, Kibana visualizations, Elastic beats, and core Elasticsearch concepts What Will Make You Stand Out (Preferred Qualifications) * Competency in Python-based data science tools such as pandas and NumPy, and experience implementing machine learning algorithms to optimize security solutions * Experience in Agile methodologies and version control tools such as GitHub, GitLab, or SVN * Familiarity with cloud services offered by major providers like AWS, Azure, or GCP #LI-Hybrid #LI-PM5 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: * Various health plans * Time off plans for vacation and sick time * Parental leave options * Retirement options * Education reimbursement * In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.